Learning analytics: Threats and opportunitiesMartin Hawksey
Learning analytics is the measurement, collection, analysis and reporting of data about learners and their contexts in order to understand and optimize the learning environment. It involves techniques from computer science, statistics, programming and other disciplines. While learning analytics can provide opportunities to give feedback and improve learning, it also poses threats regarding privacy, ethics, and the misuse of visualizations and absence of educational theory. Overall, learning analytics should be used to start conversations to improve learning rather than make definitive decisions, and it is important that the needs and experiences of learners guide its application.
Presentation given at Serious Request 2015, #SR15, Heerlen.
Within the Open University we started a 12 hours marathon college, to collect money for the charity action of radiostation 3FM. The collected money will go to the red cross and support young people in conflict areas.
Hendrik Drachsler presents on envisioning the future of learning analytics at an education conference in the Netherlands. He discusses the LACE project, which aims to integrate communities working on learning analytics in schools, workplaces and universities. The presentation outlines four visions for the future of learning analytics in 2025, including analytics being essential tools for educational management, supporting self-directed autonomous learning, rarely being used due to data privacy issues, and personalizing education through adaptive recommendations. Drachsler conducts a workshop to gather feedback on these visions from conference attendees.
Fighting level 3: From the LA framework to LA practice on the micro-levelHendrik Drachsler
This presentation explores shortcomings of learning analytics for the wide adoption in educational organisations. It is NOT about ethics and privacy rather than focuses on shortcomings of learning analytics for teachers and students in the classroom (micro-level). We investigated if and to what extend learning analytics dashboards are addressing educational concepts. Map opportunities and challenges for the use of Learning Analytics dashboards for the design of courses, and present an evaluation instrument for the effects of Learning Analytics called EFLA. EFLA can be used to measure the effects of LA tools at the teacher and student side. It is a robust but light (8 items) measurement to quickly investigate the level of adoption of learning analytics in a course (micro-level). The presentation concludes that Learning Analytics is still to much a computer science dicipline that does not fulfill the often claimed position of the middle space between educational and computer science research.
Learning Dashboards for Feedback at ScaleTinne De Laet
Learning analytics is hot. But are learning dashboards scalable and sustainable solutions for providing actionable feedback to students? Can learning dashboard be applied for feedback at scale? Is learning analytics applicable in more traditional higher education settings? This talk will share experiences and lessons learned from three European projects (STELA, ABLE, and LALA ) that focuses on scalable applications of learning dashboards and their integration within actual educational practices. Can learning dashboards deployed at scale, create new learning traces? This talk shares experiences of a large scale deployment of learning dashboards with more than 12.000 students. Presented at laffas.eu.
Using learning analytics to improve student transition into and support throu...Tinne De Laet
This document provides an overview of a workshop on using learning analytics to improve student transition and support in the first year. The workshop was delivered by the ABLE and STELA projects in partnership.
It begins with introductions of the presenters and a discussion of the workshop structure. Next, the document explores definitions and concepts of learning analytics through short discussions and examples. It then highlights examples of learning analytics projects and implementations at partner institutions like Nottingham Trent University, Leiden University, and Delft University of Technology.
The workshop also included an exploration activity where participants discussed goals and interventions for a hypothetical learning analytics project. Finally, the document outlines three case studies that workshop groups worked on, with an emphasis on presenting results
Learning analytics: Threats and opportunitiesMartin Hawksey
Learning analytics is the measurement, collection, analysis and reporting of data about learners and their contexts in order to understand and optimize the learning environment. It involves techniques from computer science, statistics, programming and other disciplines. While learning analytics can provide opportunities to give feedback and improve learning, it also poses threats regarding privacy, ethics, and the misuse of visualizations and absence of educational theory. Overall, learning analytics should be used to start conversations to improve learning rather than make definitive decisions, and it is important that the needs and experiences of learners guide its application.
Presentation given at Serious Request 2015, #SR15, Heerlen.
Within the Open University we started a 12 hours marathon college, to collect money for the charity action of radiostation 3FM. The collected money will go to the red cross and support young people in conflict areas.
Hendrik Drachsler presents on envisioning the future of learning analytics at an education conference in the Netherlands. He discusses the LACE project, which aims to integrate communities working on learning analytics in schools, workplaces and universities. The presentation outlines four visions for the future of learning analytics in 2025, including analytics being essential tools for educational management, supporting self-directed autonomous learning, rarely being used due to data privacy issues, and personalizing education through adaptive recommendations. Drachsler conducts a workshop to gather feedback on these visions from conference attendees.
Fighting level 3: From the LA framework to LA practice on the micro-levelHendrik Drachsler
This presentation explores shortcomings of learning analytics for the wide adoption in educational organisations. It is NOT about ethics and privacy rather than focuses on shortcomings of learning analytics for teachers and students in the classroom (micro-level). We investigated if and to what extend learning analytics dashboards are addressing educational concepts. Map opportunities and challenges for the use of Learning Analytics dashboards for the design of courses, and present an evaluation instrument for the effects of Learning Analytics called EFLA. EFLA can be used to measure the effects of LA tools at the teacher and student side. It is a robust but light (8 items) measurement to quickly investigate the level of adoption of learning analytics in a course (micro-level). The presentation concludes that Learning Analytics is still to much a computer science dicipline that does not fulfill the often claimed position of the middle space between educational and computer science research.
Learning Dashboards for Feedback at ScaleTinne De Laet
Learning analytics is hot. But are learning dashboards scalable and sustainable solutions for providing actionable feedback to students? Can learning dashboard be applied for feedback at scale? Is learning analytics applicable in more traditional higher education settings? This talk will share experiences and lessons learned from three European projects (STELA, ABLE, and LALA ) that focuses on scalable applications of learning dashboards and their integration within actual educational practices. Can learning dashboards deployed at scale, create new learning traces? This talk shares experiences of a large scale deployment of learning dashboards with more than 12.000 students. Presented at laffas.eu.
Using learning analytics to improve student transition into and support throu...Tinne De Laet
This document provides an overview of a workshop on using learning analytics to improve student transition and support in the first year. The workshop was delivered by the ABLE and STELA projects in partnership.
It begins with introductions of the presenters and a discussion of the workshop structure. Next, the document explores definitions and concepts of learning analytics through short discussions and examples. It then highlights examples of learning analytics projects and implementations at partner institutions like Nottingham Trent University, Leiden University, and Delft University of Technology.
The workshop also included an exploration activity where participants discussed goals and interventions for a hypothetical learning analytics project. Finally, the document outlines three case studies that workshop groups worked on, with an emphasis on presenting results
Bett 2016 - Implementing learning analytics in your schoolWietse van Bruggen
Presented at Bett 2016, members of the learning analytics community exchange (LACE) project presented insights into aspects schools should think about when using digital learning materials and tools that have LA capabilities.
Let’s get there! Towards policy for adoption of learning analyticsDragan Gasevic
1) The document discusses challenges in adopting learning analytics and proposes a policy framework to guide the process.
2) Key adoption challenges include developing leadership, engaging stakeholders, providing training in data literacy, and establishing policies.
3) The framework suggests mapping the political context, identifying stakeholders, desired behavior changes, and developing an engagement strategy. It also involves analyzing capacity and establishing monitoring frameworks.
4) The goal is to provide an inclusive adoption process that embraces the complexity of educational systems and promotes innovation.
Dr. Hendrik Drachsler is an associate professor researching learning analytics, personalization, recommender systems, and mobile learning. His research focuses on applying these topics in schools, higher education, and medical education. He discusses learning analytics frameworks and models, challenges around educational data standards and privacy, and the importance of developing learner competencies like data literacy and agency.
In May 2018, the new General Data Protection Regulation (GDPR) will enter into force in the European Union. This new regulation is considered as the most modern data protection law for Big Data societies of tomorrow. The GDPR will bring major changes to data ownership and the way data can be accessed, processed, stored, and analysed in the European Union. From May 2018 onwards, data subjects gain fundamental rights such as ‘the right to access data’ or ‘the right to be forgotten’. This will force Big Data system designers to follow a privacy-by-design approach for their infrastructures and fundamentally change the way data can be treated in the European Union.
The presentation provides an overview of the Trusted Learning Analytics Programme as it has been recently initiated at the University of Frankfurt and the DIPF research institute in Germany. Educational data is under special focus of the GDPR, as it is considered as highly sensitive like data from a nuclear plant. It shows opportunities and challenges for using educational data for learning analytics purposes under the light of the GDPR 2018.
The Apereo Foundation is a non-profit organization that supports open source software for education. It has launched a learning analytics initiative to develop an open source software platform for collecting, analyzing, and acting on student learning data. Early adopters include North Carolina State University, the University of Notre Dame, the University of Lorraine in France, and the UK's Jisc national education service. Lessons from these implementations emphasize clearly defining goals, addressing ethical issues, conducting readiness assessments, and gaining institutional leadership support. The platform is intended to provide flexibility and interoperability beyond limited analytics in learning management systems.
Using learning analytics to support formative assessment oln 20171111Yi-Shan Tsai
This talk covers ideas about using learning analytics to enhance formative assessment, with an introduction of two learning analytics tools developed in Australia - Loop and OnTask.
Privacy and Analytics – it’s a DELICATE Issue. A Checklist for Trusted Learni...Hendrik Drachsler
The widespread adoption of Learning Analytics (LA) and Educational Data Mining (EDM) has somewhat stagnated recently, and in some prominent cases even been reversed following concerns by governments, stakeholders and civil rights groups about privacy and ethics applied to the handling of personal data. In this ongoing discussion, fears and realities are often indistin-guishably mixed up, leading to an atmosphere of uncertainty among potential beneficiaries of Learning Analytics, as well as hesitations among institutional managers who aim to innovate their institution’s learning support by implementing data and analytics with a view on improving student success. In this presentation, we try to get to the heart of the matter, by analysing the most common views and the propositions made by the LA community to solve them. We conclude the paper with an eight-point checklist named DELICATE that can be applied by researchers, policy makers and institutional managers to facilitate a trusted implementation of Learning Analytics.
Ethics and Privacy in the Application of Learning Analytics (#EP4LA)Hendrik Drachsler
This document summarizes Hendrik Drachsler's presentation on ethics and privacy issues in learning analytics at an NSF expert meeting on Big Data and Privacy in Human Subjects Research. The presentation addressed several key issues:
1) Defining the boundaries of acceptable data collection for learning analytics purposes.
2) Concerns about outsourcing the collection and analysis of student data, including who owns the data.
3) Identifying circumstances where collecting student data would be unacceptable or undesirable.
4) Determining what types of data students should be able to access about themselves.
The presentation called for continued discussion on these issues to develop practical guidelines around privacy and ethics in learning analytics.
Introduction to Learning Analytics - Framework and Implementation ConcernsTore Hoel
This document provides an introduction to learning analytics, including:
1. A definition of learning analytics as the measurement, collection, analysis and reporting of learner data to understand and optimize learning.
2. An overview of how learning analytics is used in universities, schools, and the workplace to predict student performance, track progress, and personalize instruction.
3. A framework model showing how data is transformed into analytics and insights to benefit learners, teachers, and institutions.
Big data in education has the potential to disrupt existing systems through personalization, evidence-based decision making, and continuous innovation. However, it also poses threats such as privacy issues, oversimplification of learners, and reducing the role of teachers. Learning analytics uses data from online learning platforms to provide insights into learning processes. Examples from Tallinn University include an open educational resources platform and a tool for visualizing pedagogical scenarios. Policies are needed to ensure the ethical use of student data and learning analytics.
This document discusses learning analytics (LA) practices at the University of Technology Sydney (UTS). It describes UTS's goal of becoming a "data intensive university" to solve problems like student attrition, improve student engagement, enable personalized learning, and allocate resources more effectively. The university uses LA to identify "killer subjects" with high failure rates and understand factors contributing to student failure. UTS also utilizes a student dashboard in its learning management system and provides data literacy training for staff and students. The document is part of a larger OLT-commissioned research project examining LA practices across Australian universities and comparing them to international examples to develop best practice guidance.
Using Learning analytics to support learners and teachers at the Open UniversityBart Rienties
In this seminar Prof Bart Rienties will reflect on how the Open University UK has become a leading institution in implementing learning analytics at scale amongst its 170K students and 5K staff. Furthermore, he will discuss how learning analytics is being adopted at other UK institutions, and what the implications for higher education might be in these Covid19 times.
https://www.kent.ac.uk/cshe/news-events.html
Xiao Hu "Overview of the Space of Learning Analytics and Educational Data Min...CITE
This document provides an overview of the fields of learning analytics and educational data mining. It discusses the types of methods used in each field, including prediction, relationship mining, and discovery with models. Recent trends are noted, such as increased emphasis on constructs like motivation and engagement, and broader data sources. Challenges and opportunities are also presented, such as improving connections between fields and addressing issues around research ethics, privacy, and data management. Upcoming conferences and a MOOC on the topic are also announced. Questions from attendees are answered, focusing on friction between fields, collaboration opportunities, and handling research ethics and privacy concerns.
Nurturing the Connections: The Role of Quantitative Ethnography in Learning A...Dragan Gasevic
The document discusses the role of quantitative ethnography in learning analytics. It describes how quantitative ethnography can be used as a systematic approach to advance learning analytics by enhancing understanding and quality. Some key challenges discussed include limitations in adoption, validity, and measurement of learning analytics. The document advocates for the use of quantitative ethnographic methods and techniques to address these challenges and move the field forward.
Learning Analytics: Seeking new insights from educational dataAndrew Deacon
1) Learning analytics seeks new insights from educational data by measuring, collecting, analyzing and reporting data about learners and learning environments to optimize learning.
2) There are three eras of social science research: collecting simple data on important questions; getting the most from little data; and today's "big data" deluge allowing new questions.
3) Educational data can be analyzed through psychometrics, educational data mining, and learning analytics, typically focusing on assessment, learning over time, and wider contexts respectively.
Introduction to Learning Analytics for High School Teachers and ManagersVitomir Kovanovic
Presentation at the first Learning Analytics Learning Network (LALN) Event in Adelaide, Australia on Oct 22, 2019.
Abstract:
With the increased adoption of technology, institutions have unprecedented opportunities to continuously improve the quality of their services through data collection and analysis. Schools and universities now have data about learners and their contexts that can provide valuable insight into how they learn. Early attempts were directed towards mining educational data to identify students-at-risk and develop interventions. Recently, more sophisticated approaches are being deployed by researchers and practitioners. These include analysis of learner behaviour that leads to various learning outcomes, social networks and teams, employability, creativity, and critical thinking. Analysing digital traces generated through learning processes requires a broad suite of methods from data science, statistics, psychometrics, social and learning sciences.
This workshop aims to introduce teachers and educators to the fast growing and promising field of learning analytics. How digital data can be used for the analysis and improvement of student learning will be explored. First, we will provide an overview of learning analytics, its key methods and approaches, as well as problems for which it can be used. Secondly, attendees will engage in group learning activities to explore ways in which learning analytics could be used within their institutions. The focus will be on identifying learning-related challenges that are relevant to their particular context and exploring how learning analytics can be used to practically and effectively.
Educational Data Mining/Learning Analytics issue brief overviewMarie Bienkowski
An overview of the Draft Issue Brief prepared by SRI International for the US Department of Education on Educational Data Mining and Learning Analytics
Visie op DLWO: de burchtmetafoor in de praktijk - Marion Keiren en Karin van ...SURF Events
Sessieronde 3
Zaal: Leeuwen l + ll
Titel: Visie op DLWO: de burchtmetafoor in de praktijk
Sprekers: Marion Keiren (Hogeschool van Arnhem en Nijmegen), Karin van Bakel (De Haagse Hogeschool), Nico Juist (SURF)
Bett 2016 - Implementing learning analytics in your schoolWietse van Bruggen
Presented at Bett 2016, members of the learning analytics community exchange (LACE) project presented insights into aspects schools should think about when using digital learning materials and tools that have LA capabilities.
Let’s get there! Towards policy for adoption of learning analyticsDragan Gasevic
1) The document discusses challenges in adopting learning analytics and proposes a policy framework to guide the process.
2) Key adoption challenges include developing leadership, engaging stakeholders, providing training in data literacy, and establishing policies.
3) The framework suggests mapping the political context, identifying stakeholders, desired behavior changes, and developing an engagement strategy. It also involves analyzing capacity and establishing monitoring frameworks.
4) The goal is to provide an inclusive adoption process that embraces the complexity of educational systems and promotes innovation.
Dr. Hendrik Drachsler is an associate professor researching learning analytics, personalization, recommender systems, and mobile learning. His research focuses on applying these topics in schools, higher education, and medical education. He discusses learning analytics frameworks and models, challenges around educational data standards and privacy, and the importance of developing learner competencies like data literacy and agency.
In May 2018, the new General Data Protection Regulation (GDPR) will enter into force in the European Union. This new regulation is considered as the most modern data protection law for Big Data societies of tomorrow. The GDPR will bring major changes to data ownership and the way data can be accessed, processed, stored, and analysed in the European Union. From May 2018 onwards, data subjects gain fundamental rights such as ‘the right to access data’ or ‘the right to be forgotten’. This will force Big Data system designers to follow a privacy-by-design approach for their infrastructures and fundamentally change the way data can be treated in the European Union.
The presentation provides an overview of the Trusted Learning Analytics Programme as it has been recently initiated at the University of Frankfurt and the DIPF research institute in Germany. Educational data is under special focus of the GDPR, as it is considered as highly sensitive like data from a nuclear plant. It shows opportunities and challenges for using educational data for learning analytics purposes under the light of the GDPR 2018.
The Apereo Foundation is a non-profit organization that supports open source software for education. It has launched a learning analytics initiative to develop an open source software platform for collecting, analyzing, and acting on student learning data. Early adopters include North Carolina State University, the University of Notre Dame, the University of Lorraine in France, and the UK's Jisc national education service. Lessons from these implementations emphasize clearly defining goals, addressing ethical issues, conducting readiness assessments, and gaining institutional leadership support. The platform is intended to provide flexibility and interoperability beyond limited analytics in learning management systems.
Using learning analytics to support formative assessment oln 20171111Yi-Shan Tsai
This talk covers ideas about using learning analytics to enhance formative assessment, with an introduction of two learning analytics tools developed in Australia - Loop and OnTask.
Privacy and Analytics – it’s a DELICATE Issue. A Checklist for Trusted Learni...Hendrik Drachsler
The widespread adoption of Learning Analytics (LA) and Educational Data Mining (EDM) has somewhat stagnated recently, and in some prominent cases even been reversed following concerns by governments, stakeholders and civil rights groups about privacy and ethics applied to the handling of personal data. In this ongoing discussion, fears and realities are often indistin-guishably mixed up, leading to an atmosphere of uncertainty among potential beneficiaries of Learning Analytics, as well as hesitations among institutional managers who aim to innovate their institution’s learning support by implementing data and analytics with a view on improving student success. In this presentation, we try to get to the heart of the matter, by analysing the most common views and the propositions made by the LA community to solve them. We conclude the paper with an eight-point checklist named DELICATE that can be applied by researchers, policy makers and institutional managers to facilitate a trusted implementation of Learning Analytics.
Ethics and Privacy in the Application of Learning Analytics (#EP4LA)Hendrik Drachsler
This document summarizes Hendrik Drachsler's presentation on ethics and privacy issues in learning analytics at an NSF expert meeting on Big Data and Privacy in Human Subjects Research. The presentation addressed several key issues:
1) Defining the boundaries of acceptable data collection for learning analytics purposes.
2) Concerns about outsourcing the collection and analysis of student data, including who owns the data.
3) Identifying circumstances where collecting student data would be unacceptable or undesirable.
4) Determining what types of data students should be able to access about themselves.
The presentation called for continued discussion on these issues to develop practical guidelines around privacy and ethics in learning analytics.
Introduction to Learning Analytics - Framework and Implementation ConcernsTore Hoel
This document provides an introduction to learning analytics, including:
1. A definition of learning analytics as the measurement, collection, analysis and reporting of learner data to understand and optimize learning.
2. An overview of how learning analytics is used in universities, schools, and the workplace to predict student performance, track progress, and personalize instruction.
3. A framework model showing how data is transformed into analytics and insights to benefit learners, teachers, and institutions.
Big data in education has the potential to disrupt existing systems through personalization, evidence-based decision making, and continuous innovation. However, it also poses threats such as privacy issues, oversimplification of learners, and reducing the role of teachers. Learning analytics uses data from online learning platforms to provide insights into learning processes. Examples from Tallinn University include an open educational resources platform and a tool for visualizing pedagogical scenarios. Policies are needed to ensure the ethical use of student data and learning analytics.
This document discusses learning analytics (LA) practices at the University of Technology Sydney (UTS). It describes UTS's goal of becoming a "data intensive university" to solve problems like student attrition, improve student engagement, enable personalized learning, and allocate resources more effectively. The university uses LA to identify "killer subjects" with high failure rates and understand factors contributing to student failure. UTS also utilizes a student dashboard in its learning management system and provides data literacy training for staff and students. The document is part of a larger OLT-commissioned research project examining LA practices across Australian universities and comparing them to international examples to develop best practice guidance.
Using Learning analytics to support learners and teachers at the Open UniversityBart Rienties
In this seminar Prof Bart Rienties will reflect on how the Open University UK has become a leading institution in implementing learning analytics at scale amongst its 170K students and 5K staff. Furthermore, he will discuss how learning analytics is being adopted at other UK institutions, and what the implications for higher education might be in these Covid19 times.
https://www.kent.ac.uk/cshe/news-events.html
Xiao Hu "Overview of the Space of Learning Analytics and Educational Data Min...CITE
This document provides an overview of the fields of learning analytics and educational data mining. It discusses the types of methods used in each field, including prediction, relationship mining, and discovery with models. Recent trends are noted, such as increased emphasis on constructs like motivation and engagement, and broader data sources. Challenges and opportunities are also presented, such as improving connections between fields and addressing issues around research ethics, privacy, and data management. Upcoming conferences and a MOOC on the topic are also announced. Questions from attendees are answered, focusing on friction between fields, collaboration opportunities, and handling research ethics and privacy concerns.
Nurturing the Connections: The Role of Quantitative Ethnography in Learning A...Dragan Gasevic
The document discusses the role of quantitative ethnography in learning analytics. It describes how quantitative ethnography can be used as a systematic approach to advance learning analytics by enhancing understanding and quality. Some key challenges discussed include limitations in adoption, validity, and measurement of learning analytics. The document advocates for the use of quantitative ethnographic methods and techniques to address these challenges and move the field forward.
Learning Analytics: Seeking new insights from educational dataAndrew Deacon
1) Learning analytics seeks new insights from educational data by measuring, collecting, analyzing and reporting data about learners and learning environments to optimize learning.
2) There are three eras of social science research: collecting simple data on important questions; getting the most from little data; and today's "big data" deluge allowing new questions.
3) Educational data can be analyzed through psychometrics, educational data mining, and learning analytics, typically focusing on assessment, learning over time, and wider contexts respectively.
Introduction to Learning Analytics for High School Teachers and ManagersVitomir Kovanovic
Presentation at the first Learning Analytics Learning Network (LALN) Event in Adelaide, Australia on Oct 22, 2019.
Abstract:
With the increased adoption of technology, institutions have unprecedented opportunities to continuously improve the quality of their services through data collection and analysis. Schools and universities now have data about learners and their contexts that can provide valuable insight into how they learn. Early attempts were directed towards mining educational data to identify students-at-risk and develop interventions. Recently, more sophisticated approaches are being deployed by researchers and practitioners. These include analysis of learner behaviour that leads to various learning outcomes, social networks and teams, employability, creativity, and critical thinking. Analysing digital traces generated through learning processes requires a broad suite of methods from data science, statistics, psychometrics, social and learning sciences.
This workshop aims to introduce teachers and educators to the fast growing and promising field of learning analytics. How digital data can be used for the analysis and improvement of student learning will be explored. First, we will provide an overview of learning analytics, its key methods and approaches, as well as problems for which it can be used. Secondly, attendees will engage in group learning activities to explore ways in which learning analytics could be used within their institutions. The focus will be on identifying learning-related challenges that are relevant to their particular context and exploring how learning analytics can be used to practically and effectively.
Educational Data Mining/Learning Analytics issue brief overviewMarie Bienkowski
An overview of the Draft Issue Brief prepared by SRI International for the US Department of Education on Educational Data Mining and Learning Analytics
Visie op DLWO: de burchtmetafoor in de praktijk - Marion Keiren en Karin van ...SURF Events
Sessieronde 3
Zaal: Leeuwen l + ll
Titel: Visie op DLWO: de burchtmetafoor in de praktijk
Sprekers: Marion Keiren (Hogeschool van Arnhem en Nijmegen), Karin van Bakel (De Haagse Hogeschool), Nico Juist (SURF)
Squla maakt individueel onderwijs mogelijk- André Haardt- OWD13SURF Events
Sessieronde 3 (14.00-14.45)
Sprekers : André Haardt (Squla)
Locatie : Penn I
Omschrijving : Deze sessie speelt in op de actuele discussie dat klassen steeds groter worden en het voor leraren steeds moeilijker is om de lesstof of het lesprogramma per kind aan te passen en kinderen de individuele aandacht te geven die zij nodig hebben. Op welke manieren zou dit wel mogelijk zijn?
We behandelen het spelenderwijs leren van de bestaande lesstof en de driehoeksverhouding van het kind/de leraar/de ouder die daar bij komt kijken.
Op zoek naar waardevolle inzichten voor het vergroten van studiesucces- Mariu...SURF Events
Sessieronde 3 (14.00-14.45)
Sprekers : Marius van Zandwijk (Kennisnet)
Locatie : Veder
Omschrijving : Afgelopen jaar heeft bij ROC Noorderpoort een pilot plaatsgevonden waarin men op zoek is gegaan naar studentgebonden factoren die voorspellend zijn voor studiesucces. Vervolgens is gekeken op welke manier het intakeproces kan worden verbeterd. In de workshop presenteren we de werkwijze in de pilot en de hoofdlijn van de bevindingen.
Serious games voor verbeterde communicatieprocessenSURF Events
Dinsdag 10 november
Sessieronde 1
Titel: Serious games voor verbeterde communicatieprocessen
Spreker(s): Rob Nadolski (Open Universiteit), Tom Hoogendoorn (NOVA)
Zaal: Penn I
Dragen webcolleges bij aan een beter studierendement? - Nynke Bos en Caspar G...SURF Events
Sessieronde 4
Zaal: Diamond l
Titel: Dragen webcolleges bij aan een beter studierendement?
Sprekers: Nynke Bos (Universiteit van Amsterdam), Caspar Groeneveld (Universiteit van Amsterdam)
Pencil vs Pixel: Designonderzoek test het klaslokaal van de toekomstSURF Events
Woensdag 11 november
Sessieronde 3
Titel: Pencil vs Pixel: Designonderzoek test het klaslokaal van de toekomst
Spreker(s): Pieter van Klaveren (SintLucas), Vivian van Gaal (Kunstruimte MU), Anna Dekker (Studio KNOL), Jorien Kemerink (Studio KNOL), Celine de Waal (Studion KNOL)
Zaal: Leeuwen I
Meer dan meerkeuze - Sanne Gratama van Andel - OWD14SURF Events
Maandag 10 november 2014
Sessieronde 2
Titel: Meer dan meerkeuze: Sneller en beter feedback geven met digitale tools
Spreker: Sanne Gratama van Andel (Universiteit Utrecht)
Zaal: Rotterdam Hall
Visie op DLWO: stand van zaken bij de instellingen - Nico Juist, Lianne van E...SURF Events
Dinsdag 11 november 2014
Sessieronde 3
Titel: Visie op DLWO: stand van zaken bij de instellingen
Sprekers: Nico Juist (SURF / Hogeschool Leiden), Lianne van Elk (SURF)
Zaal: Mees
De persoonlijke studieomgeving van de toekomst - Jan Haarhuis, Falco Peijnenb...SURF Events
Dinsdag 11 november 2014
Sessieronde 2
Titel: De persoonlijke studieomgeving van de toekomst
Sprekers: Jan Haarhuis (Universiteit Utrecht), Falco Peijnenburg (Universiteit Utrecht)
Zaal: Rotterdam Hall
Benutten leermiddelen van de 21ste eeuw in het voortgezet onderwijs - Stephan...SURF Events
Woensdag 12 november
Sessieronde 2
Titel: Leermiddelenbeleid: benutten leermiddelen van de 21ste eeuw in het voortgezet onderwijs
Sprekers: Stephan de Valk (Noordhoff uitgevers en GEU Voortgezet Onderwijs), Anouk Mulder (Argumentenfabriek), René Montenarie (GEU)
Zaal: Diamond I
Pilot Student Performance 2.0 - Bas van Atteveldt - OWD14SURF Events
Dinsdag 11 en woensdag 12 november 2014
Sessieronde 3
Titel: Pilot Student Performance 2.0: realtime inzicht in studentengedrag, studiesucces verhogen en uitval terugbrengen
Spreker: Bas van Atteveldt (2AT)
Zaal: Goudriaan ll
De noodzakelijke basisvoorzieningen voor beter digitaal leren: Casus CSG Will...SURF Events
Woensdag 12 november
Sessieronde 4
Titel: De noodzakelijke basisvoorzieningen voor beter digitaal leren: nu en in de komende jaren - Casus CSG Willem van Oranje
Spreker(s): Berco Wegman (CSG Willem van Oranje)
Zaal: Diamond I
This document summarizes the development of learning analytics in higher education and medical schools from 2010-2017. It discusses the continuum of analytics approaches from basic visualizations to feedback and nudging/coaching. It notes that to effectively support learning outcomes, educational analytics need multiple data sources and will impact the whole system of stakeholders. The document raises questions about what types of analytics could benefit learners using the Entrada data system and engages attendees in a discussion.
This document discusses the history and potential uses of learning analytics in education. It traces the growth of analytics in higher education from 2010-2017. Learning analytics can utilize feedback, prediction, and coaching to support student learning outcomes. Effective analytics requires multiple data sources and will impact the entire educational system. The document suggests analytics could enhance virtual patient learning by adding data metrics to measure feedback effectiveness, predict learning, and enable coaching across a series of virtual patients.
Keynote Data Matters JISC What is the impact? Six years of learning analytics...Bart Rienties
The Open University (OU) was an early adopter of learning analytics, and after six years has had the opportunity to reflect on the impact of large scale adoption across the institution.
Has there been an impact on student retention/progress/completion?
How are the positives (or negatives) reflected in student satisfaction surveys?
What worked, what didn't, and with this benefit of hindsight what is, or should be, next?
AI in Education Amsterdam Data Science (ADS) What have we learned after a dec...Bart Rienties
The Open University UK (OU) has been implementing learning analytics and learning design on a large scale since 2012. With its 170+ students and 4000+ teaching staff, the OU has been at the forefront of testing, implementing, and evaluating the impact of learning analytics and learning design on students outcome and retention. A range of reviews and scholarly repositories (e.g., Web of Science) indicate that the OU is the largest contributor to academic output in learning analytics and learning design in the world. However, despite the large uptake of learning analytics at the OU there are a range of complex issues in terms of buy-in from staff, data infrastructures, ethics and privacy, student engagement, and perhaps most importantly how to make sense of big and small data in a complex organisation like the OU. During his talk Bart will be presenting on the implementation and learnings.
Keynote Presentation: Implementing learning analytics and learning design at ...Bart Rienties
The University of the Roller Coaster
How can Higher Education function in a world struggling to save itself from climate change, pandemics and war? How can it drive innovation and shape the future as the pace of technological change constantly increases? How can it re-invent itself to respond imaginatively to the new challenges facing humanity?
We are living in an uncertain, unpredictable world with no “back to normal” any more. So, how can we re-imagine higher education when nothing can be taken for granted? What kind of technologies can help universities to adapt? What lessons can we learn from recent successes and failures? What 'best practice' examples point the way into the future? How can we shape the development of institutions, so that they are neither “ivory towers” nor “competence factories"? How can we encourage future-oriented universities in which both pedagogy and research are fit for the challenges ahead?
In the Academic Plenary, our experts will examine the threats and opportunities facing higher education today and ask how we can design new approaches that prepare staff and students to thrive in the University of the Roller Coaster.
This document discusses using data to improve accountability and engagement with families and communities. It provides examples of data that can be shared with stakeholders, such as achievement, growth, improvement, and acceleration metrics. It also discusses understanding different types of parents and the data they want, such as information on their child's strengths/weaknesses and progress. The document emphasizes transparency, acknowledging failures, and using facts to have productive discussions about school performance and improvement efforts.
Jelte de Jongh – Oprichter van LeerUniek
LeerUniek oprichter Jelte de Jongh vertelt hoe hij tijdens zijn studie op MIT (Boston) leerde om het abstracte begrip ‘Big Data’ te vertalen in een heel praktische technologie die basisscholen helpt bij taalontwikkeling van leerlingen. Zijn doel? Gepersonaliseerd leren inzetten om taalachterstanden te helpen voorkomen, waar nog steeds 1 op de 8 Nederlandse 12-jarigen de dupe van is.
Edutech_Europe Keynote Presentation: Implementing learning analytics and lear...Bart Rienties
This keynote will help you:
-Understand where to start with learning analytics
-Understand how to effectively support your staff to use data
-Critically review whether learning analytics is something for your organisation
https://www.terrapinn.com/exhibition/edutech-europe/speaker-bart-RIENTIES.stm
The document discusses the need to broaden the pipeline of students in K-12 mathematics to address several issues, including declining student interest in STEM fields and an aging technical workforce. It introduces BEST, a public-private partnership aimed at building a stronger and more diverse workforce in STEM. BEST analyzes research on pre-K-12 programs to identify effective practices and design principles, such as defined outcomes, persistence, personalization, challenging content, and engaged adults. BEST then disseminates its findings and empowers districts to implement changes to broaden the STEM pipeline.
Learning Analytics as part of a Dynamic Feedback SystemJoonas Pesonen
The document discusses learning analytics as part of a dynamic feedback system. It begins by introducing the author and their background. Then, it discusses some key challenges in learning analytics, such as ensuring it is grounded in educational research concepts like self-regulated learning, engagement, and feedback. It also addresses issues like ensuring the measures used capture meaningful constructs and the information provided to students supports learning. Finally, it provides examples of how learning analytics could be integrated into educational practice to provide feedback to students and help teachers, with the goal of improving and directing the learning process.
[Extended] Bottom-up growth of learning analytics at two Australian universit...Danny Liu
Presented at the University of New South Wales Learning Analytics and Educational Data Science research group meeting, April 2016.
This presentation will outline two approaches to learning analytics at the University of Sydney and Macquarie University, where staff are closely involved in the coevolution and development of two bespoke learning analytics tools to personalise student-staff interactions at scale. The University of Sydney system, called the Student Relationship Engagement System (SRES), is a highly-customisable web-based tool that supports the efficient capture and collation of student datasets. A companion mobile app helps staff quickly collect and access student data. Through an embedded messaging system, teaching staff can set up fully customisable rules to contact students via personalised emails and text messages. A nascent feature allows staff to leverage machine learning to uncover hidden patterns and relationships within and between datasets. The Macquarie University system is an enhancement of an existing Moodle plug-in, the Moodle Engagement Analytics Plugin (MEAP). MEAP can readily access data on student assessments, completions, login activity, forum activity, and the gradebook, amongst others, which are customisably represented as ‘risk indicators’. MEAP allows flexible and customisable interrogation of these data, and provides staff the ability to send personalised emails to students based on these risk indicators. At both institutions, these learning analytics approaches have grown from the grassroots to address pressing staff needs, highlighting the importance of this bespoke coevolution process of design, development, and implementation. The systems have enjoyed substantial organic adoption and are associated with positive student outcomes. As open source developments, we are very interested in working together to open up accessible learning analytics to teachers and students.
The document discusses the federal response in the United States to the findings from the Programme for the International Assessment of Adult Competencies (PIAAC). It notes that PIAAC found low skills levels across adults in the US and a lack of effective interventions. The document calls researchers to help address this issue through more rigorous and relevant research that engages stakeholders and works across disciplines. It provides new datasets and resources to support this research.
This document reviews research on e-assessment from 2008-2012. It summarizes key findings about the types and purposes of e-assessment studies. The majority of studies focused on formative e-assessment and were conducted in Taiwan, the UK, and US. Most studies did not reference educational theories. Common e-assessment types examined were automated short answer, peer assessment, and e-portfolios. The review concludes that most e-assessment practice remains rooted in traditional approaches and focuses on assessment of rather than for learning.
SOLAR - learning analytics, the state of the artRebecca Ferguson
This document reviews learning analytics and identifies challenges in the field. It discusses how learning analytics measures and analyzes data from learners and learning environments to understand and optimize learning. Key drivers include the availability of large datasets from online learning systems and political priorities around improving education outcomes. Challenges involve extracting value from big data, optimizing learning opportunities, and using data to substantially improve education at various levels. The document also outlines the relationships between learning analytics, educational data mining, and academic analytics research areas.
Information Literacy for the Google GenerationTeresa S. Welsh
The document discusses information literacy and its importance. It defines information literacy as a set of abilities requiring individuals to recognize needed information and locate, evaluate, and effectively use it. Information literacy is important because information is the new currency and builds resiliency. Research shows the Google Generation prefers quick information over in-depth searching. Various frameworks are discussed for teaching and assessing information literacy skills.
The science of learning. can it make learning more resilient against the risk...dvndamme
Education research is growing, but has not enough impact to tackle the systemic risks of education systems (quality, productivity, equity, innovation). Why? Do we work with outdated theories? And can the science of learning help to do better? Keynote at ECER2019.
Ruth Geraghty (PEI) - The PEI Research Initiative at the Children's Research ...dri_ireland
The PEI Research Initiative at the Children's Research Network archived evaluation data from early childhood programs in Ireland from 2016-2018 in 10 steps:
1) Meeting with program commissioners and evaluators to understand the data and obtain buy-in for archiving.
2) Appraising, processing, and standardizing the data while addressing issues like consent and copyright.
3) Depositing the data in public archives with contextual documents and metadata to make it openly available online.
4) Stimulating reuse through research grants and disseminating findings in publications and conferences to extend the impact of the early intervention programs.
Promising Developments in Edtech for ScienceJohn Terada
We are releasing “Promising Developments in Edtech for Science”, a summary report of our findings and the lessons learned from the Science Learning Challenge market research and cohort experience. The report compiles the key insights we’ve gleaned, and presents them in three sections: why science education matters, challenges facing K-12 science learning, and opportunities for edtech to support science learning.
Presentation Slides from ISSOTL 2015.
Bronnimann, J., West, D., Heath, D. & Huijser, H. (2015) Leveraging learning analytics for future pedagogies and scholarship. Paper presented at Leading learning and the scholarship of change: 12th annual ISSOTL conference, Melbourne, Australia.
This document discusses the importance of data in education and provides an overview of key topics related to data use. It defines different types of data, sources of data, and how data can be used at various levels within the education system. The goal is to shift toward using data in strategic and thoughtful ways to inform decisions and improve student outcomes. Leaders are encouraged to develop a culture of inquiry and data-informed decision making.
Similar to Is uw instelling klaar voor learning analytics? (20)
Biking on the edge - Jerome Mies - SRD23SURF Events
Jerome Mies presented on using edge computing and AWS IoT Greengrass to monitor street conditions in Amsterdam via bicycle inspections. The project aims to cover the entire city with LiDAR and video AI to provide an accurate overview of deficiencies. Edge devices like NVIDIA Jetson Nano mounted on bicycles can perform real-time image analysis and inference to detect issues like light posts, garbage, and road damage. AWS Greengrass enables managing remote edge devices and orchestrating event-driven workflows. Models are trained with Amazon SageMaker and optimized for battery-powered edge applications. The cloud allows scalability to multiple edge devices for real-time data processing and updates to improve public safety.
Voor duurzame onderwijsinnovaties zoals Blended Learning is de onderwijsmanager een onmisbare schakel. Als koersbepaler of als te nemen horde, als aanjager of als teamleider, zonder 'management mee' komt innovatie moeilijk van de grond. Tegelijkertijd staat onderwijsvernieuwing (met ict) steeds vaker expliciet in de opdracht die programmaleiders, opleidingsmanagers en teamleiders meekrijgen. Tijd dus voor het managementperspectief op onderwijsinnovatie met ict - hoe maken we managers bewust van wat innovatie inhoudt, en hoe maken we innovators bewust van de keuzes waar management voor staat?
Om het gesprek hierover op weg te helpen ontwikkelt De Haagse Hogeschool een Onderwijsinnovatie Management Card Game. Speelbaar door managers, (docent)innovators en onderwijskundige ict-adviseurs, wordt in een semi-coöperatief kaartspel teamsgewijze innovatie in het onderwijs verkend. Speel mee en ervaar zelf de keuzes en dilemma's van de innoverende manager!
Hoe door een multidisciplinaire aanpak de ondersteuning van het leren en werk...SURF Events
"Op de HAN is sinds 2,5 jaar een multidisciplinair team actief waarin vanuit verschillende HAN afdelingen expertises worden gecombineerd ter ondersteuning van HAN medewerkers, docenten en studenten bij het leren en werken met ICT. Het team is in eerste instantie bij elkaar gekomen omdat doordat bij de aanvang van corona just in time beslissingen, organisatie en ondersteuning nodig waren voor het op afstand werken en leren. Ondertussen is dit initiatief met groot succes doorontwikkeld tot een volwassen multidisciplinaire samenwerking.
De multidisciplinaire aanpak zorgt voor een betere regie op de HAN DLWO. Zo zijn er centrale multidisciplinaire klantteams (MKTs; bestaande uit een adviseur, informatiemanager en een functioneel beheerder) ontstaan die nauw contact houden met de academies rondom grotere (ondersteun)vragen op het gebied van leren en werken met ICT. Daarnaast zijn we als team bezig het software aanvraagproces op de HAN te stroomlijnen.
Ons initiatief is een goed voorbeeld van hoe door een multidisciplinaire aanpak en het tonen van daadkracht en leiderschap snel, adequaat en kwalitatief hoge ondersteuning gegeven kan worden op het gebied van leren en werken op afstand/met ICT aan docenten en medewerkers van een hogeschool. Tijdens deze presentatie willen we graag ingaan op de aanpak en behaalde resultaten van onze multidisciplinaire samenwerking, en daarbij onze lessons learned met jullie delen."
Gebruikers aan het woord, effectief doorontwikkelen - Jeffrey Braak & Larissa...SURF Events
Na een succesvolle implementatie staat de doorontwikkeling van de digitale leeromgeving voor de deur. Bij de Universiteit van Amsterdam streven wij ernaar om de belangen, behoeftes en het gebruik van onze digitale leeromgeving gebruikers voorop te zetten. Maar hoe gebruiken zij de digitale leeromgeving nou eigenlijk, waar zijn ze echt mee geholpen en wat mag van hen nu echt de prullenbak in? Wij zijn aan de slag gegaan om gezamenlijk met alle faculteiten processen te ontwikkelen om te weten te komen waar onze gebruikers echt blij van worden. In deze korte talk delen wij onze strategie hoe wij doorlopend en tijdig inzicht vergaren over de DLO en hiermee geïnformeerde data-driven doorontwikkelingen neerzetten.
Hoe geven de HU en Fontys vorm aan studentgestuurd onderwijs met hulp van een...SURF Events
"Hoe geef je vorm aan studentgestuurd leren in een traditioneel docentgestuurde digitale leeromgeving? Hoe belangrijk vind je het stimuleren van studenteigenaarschap en hoe ver wil je daar in gaan? Wat is de juiste balans tussen student- en docentsturing en hoe ondersteun je die balans optimaal in de digitale leeromgeving?
Om in cocreatie antwoorden te vinden op deze vragen heeft Fontys Hogescholen Drieam benaderd. Met elkaar hebben ze vorig jaar een eerste versie van een studentgestuurd portfolio die volledig integreert in het LMS ontwikkeld die alles rondom deze vraagstukken met elkaar verbindt. Inmiddels zijn al 10 andere instellingen aangehaakt. In deze sessie bespreken de Hogeschool Utrecht en Fontys hoe ze studenteigenaarschap vormgeven in de DLO met hulp van een portfolio."
Blended education en de organisatie van onderwijs - Judith Vennix& Ralf Hille...SURF Events
Het effect van blended onderwijs op het curriculum heeft ook effect op de organisatie van onderwijs. Wat zijn de gevolgen voor planning en taaktoedeling binnen teams, hoe breng je de benodigde professionalisering van je team in overeenstemming met de individuele wensen, welke consequenties heeft blended learning voor inrichting van lokalen en gebouwen. Wat is de invloed op roostering etc. De onderwijsmanager krijgt al deze vragen op zijn/haar bordje, maar er zijn nog maar weinig antwoorden. Om hier zicht op te krijgen zijn we bij Hogeschool Rotterdam een professionele leergemeenschap gestart met 10 onderwijsmanagers die, ondersteund door deskundigen, samen leren en onderzoeken. In deze sessie gaan we in op de werkwijze en resultaten tot nu toe.
Kickstart de blend- modellen en benaderingen - Barend Last (UM) - OWD22SURF Events
Blended learning is een hot topic. Maar de invulling ervan is complex en tijdrovend. Om het ontwerpen voor blended learning te vergemakkelijken, is het aan te bevelen om te werken met modellen en benaderingen. Denk bijvoorbeeld aan het flipped classroom model of het station-rotatiemodel. Er is onderzoek gedaan naar veelvoorkomende verschijningsvormen, waaruit twee indelingen zijn voortgekomen: een model-indeling en een impact-indeling. Het werken met deze indelingen, kan docenten en opleidingen snel meer grip geven op de implementatie van blended learning. In deze sessie ga je aan de slag met deze indelingen. Elke indeling wordt kort ingeleid, waarna je in kleine groepen van 3-6 personen bespreekt hoe je deze kan inzetten binnen je eigen instelling.
Erasmus without paper - een mijlpaal in de ondersteuning van studentmobilitei...SURF Events
Het flexibiliseren van studentroutes in het onderwijs vereist een open student informatiesysteem. OSIRIS biedt uitgebreide mogelijkheden om dit te ondersteunen, o.a. door studentmobiliteit via EduXchange en Erasmus Without Paper (EWP). Tijdens deze sessie geven we een update over de ondersteuning in OSIRIS van de flexibele studentroutes en specifiek de ondersteuning van EWP.
Accelereren op leven lang ontwikkelen met (micro)credentials, badges en actio...SURF Events
In het kader van een leven lang ontwikkelen helpen onderwijsinstellingen studenten, alumni en werknemers om hun kansen op de voortdurend veranderende arbeidsmarkt te vergroten en een positieve bijdrage te leveren aan de samenleving van vandaag en morgen. Hoe kun je micro credentialing hiervoor inzetten en waarom is dat belangrijk, hoe zorg je ervoor dat alumni en medewerkers betrokken zijn en blijven? In 2 x 15 minuten laten we je graag met concrete voorbeelden zien hoe onderwijsinstellingen Canvas Credentials en Impact inzetten als onderdeel van hun leven lang ontwikkelen strategie.
Green Award; trigger voor het verduurzamen van ict onderwijs - Claudia Tempel...SURF Events
"Tijdens de halfjaarlijkse Winnovation introduceren we de uitreiking van de Green Award. De Winnovation is een evenement waar alle hbo-ict-studenten uit het derde en vierde jaar hun projectresultaten presenteren aan bedrijven, docenten en medestudenten. Om deze Green Award te kunnen winnen moeten studenten motiveren welke groene keuzes zij hebben gemaakt tijdens het ontwerpproces. Drie juryleden, waaronder twee Windesheim lectoren en de MVO-manager van SURF, bepalen wie de winnaar wordt. Er wordt zowel gekeken naar Greening by IT als Greening of IT. Om te komen tot goede criteria onderzoeken we samen met studenten aan welke knoppen een ict professional kan draaien om de uitstoot van CO2 zo laag mogelijk te houden. Hierna bouwen we een applicatie die ict-studenten kan helpen bij het maken van groene keuzes.
Het initiatief maakt deel uit van het project 'Energietransitie Bewuste&Bekwame Engineers'. Het doel van dit project is om alle techniekstudenten op te leiden tot duurzame engineers."
De Le-Do-Loop- een nieuwe methode om hoogcognitieve leerdoelen te bereiken - ...SURF Events
"De Le-Do-Loop is een nieuw Evidence-Informed onderwijsconcept gebaseerd op het principe ‘Learning by Teaching’ (Lernen durch Lehren). Dit concept heeft als doel om hoge cognitieve leerdoelen te bereiken middels (online) kwalitatief goed onderwijs. De werkdruk van docenten zal verminderen doordat de Le-Do-Loop snel aanpasbaar is wanneer nieuwe kennis en inzichten een plek moeten krijgen in het onderwijs.
Het onderwijsconcept wordt geïmplementeerd in verschillende Bachelor en Mastervakken van Wageningen Universiteit. Momenteel bevinden we ons in de evaluatiefase. Binnen de Le-Do-Loop zullen studenten vaardigheden ontwikkelen om zelfstandig nieuwe kennis eigen te maken door onderwijs voor te bereiden en vervolgens daadwerkelijk het topic te doceren aan anderen. Studenten reflecteren hierbij op hun eigen begrip van het materiaal en koppelen dit aan hun huidige kennis om deze kennis vervolgens door te geven. Afhankelijke van de content kan de Le-Do-Loop kan uit verschillende loops bestaan."
Een open boek ontwikkelen- het proces - Loes van Hove & Martijn Ouwehand (TU/...SURF Events
"In 2021 zijn we met twaalf interfacultaire wiskundedocenten binnen de TU Delft begonnen aan het avontuur om zelf een open boek te schrijven. Werktitel: lineaire algebra voor ingenieurs. In deze sessie nemen we jullie mee in dat proces: wat zijn uitdagingen (geweest), hoe hebben we dit aangepakt en wat hebben we daaruit geleerd?
Een paar zaken die je kunt verwachten:
- Open lesmateriaal ontwikkelen - geschikt platform, mindshift: in hoeverre is een open boek een boek?
- Samenwerken met een grote groep
- Grasple - integratie van interactieve opgaven
Let op: dit is geen lezing. We zullen intensief met elkaar in gesprek gaan."
Betekenisvol leren in de digitalisering van het onderwijs - Michiel de Jong (...SURF Events
"Een essentieel aspect van het bieden van een goede leerervaring, is om studenten het gevoel te geven dat wat zij leren betekenisvol is. Betekenisvol leren is een begrip met meerdere kenmerken van leren, zoals actief en autonoom, constructief, collaboratief, doelgericht en in een authentieke leercontext. De keuzes die een student maakt in het leerproces hebben persoonlijke betekenis en impact. Maar hoe organiseer je dit betekenisvol leren in de context van de digitalisering van het onderwijs met open, online en blended learning?
In deze sessie gaan wij in op mogelijkheden tot het ontwerpen en uitvoeren van een onderwijs framework waarbij de nadruk ligt op het aanbieden van een betekenisvolle leerervaring voor studenten in een open, online en blended setting. Uit het framework blijkt, dat om betekenisvol leren te versterken, het noodzakelijk is dat dit in een open context gebeurt. Hierbij werken docenten en studenten aan en met open leermaterialen en zijn zij verbonden aan elkaar, aan andere kennisexperts en aan het professionele werkveld middels open netwerken. Deze open context van betekenisvol leren staat bekend als Open Pedagogy.
In een World Cafe setting willen we jullie ontmoeten, om in gesprek te gaan en ervaringen uit te wisselen over de volgende vraagstukken:
- Wat voor activiteiten kunnen docenten organiseren om betekenisvol leren in een open context te stimuleren? Dit behandelen wij aan de hand van concrete voorbeelden.
- Hoe verandert de rolverdeling tussen docent en student in dit onderwijsontwerp en hoe kun je deze verandering in goede banen leiden?
- Hoe sluit het framework aan bij de onderwijsontwikkelingen/onderwijsinnovaties die nu in je instelling plaatsvinden en hoe vind je de juiste drivers om mensen te overtuigen dit onderwijs framework te adopteren?"
The impact of technology on society - how to become a responsible designer of...SURF Events
In deze sessie zullen Jo-An en John het hebben over waarom het belangrijk is om na te denken over de impact van technologie op mens en maatschappij (en hoe we die gedachten naar de praktijk kunnen brengen). We bekijken technologie niet alleen vanuit een dystopisch perspectief (wat er mogelijk mis kan gaan) maar ook vanuit een utopisch perspectief (hoe we de samenleving beter kunnen betrekken bij de technologie die we ontwerpen of gebruiken). We bespreken onder andere de Technology Impact Cycle Tool, ontwikkeld door Fontys, die je na de sessie direct kunt gebruiken in je eigen beroepspraktijk. (Deze sessie is in het Engels.)
Uncovering technologies #2- Cloud, Edge & XR - Tim Kok, David Salek, Esther v...SURF Events
"In deze interactieve sessie delen SURF-experts en -adviseurs de laatste technologietrends. Ze laten je zien hoe het onderwijs in de toekomst kan profiteren van de verschillende technologieën. Doe mee en laten we samen verkennen hoe de campus in de toekomst eruit ziet en hoe studenten en docenten er aan de slag gaan.
Trainen met impact in onderwijslogistiek - Iwan Brouns & Lisanne van Brouwers...SURF Events
Hoe zorg jij ervoor dat jouw team iets doet of laat en dit nooit meer vergeet? Flexibilisering en verandering in het onderwijs vragen om nieuwe kennis en kunde bij onderwijslogistieke professionals. De manier om dat te realiseren is impactvolle training. Benieuwd hoe wij dit doen? Samen met een van onze klanten blikken wij terug op een trainingstraject met impact.
From Emergency Remote Teaching to Post Covid Teaching & Learning - Chris Rouw...SURF Events
"In deze interactieve sessie discussiëren we ervaringen van de UT over hoe het gebruik van IT zich kan door ontwikkelen na de pandemie. De covid-19-pandemie heeft ons laten zien dat technologie goed heeft geholpen in 'emergency remote teaching'. In deze sessie bespreken we vraagstukken die spelen op de lange termijn. Gedurende de sessie zullen we na een korte introductie aan de tafels uitwisselen hoe de verschillende instellingen omgaan met onderstaande vragen.
Uitwisseling tussen tafelgenoten:
Welke beleidsmaatregelingen kunnen we nemen om beter te balanceren tussen leerervaringen op de campus en afstand? Hoe kan de campus bijdragen aan het welzijn van studenten?
Hoe nemen we drempels bij docenten (tijd / capaciteit) weg om het onderwijs om te vormen naar blended onderwijs van hoge kwaliteit?
Digitale en open leermaterialen in NL- samenwerking centraal - Lieke Rensink ...SURF Events
Het realiseren van een nationale infrastructuur waarmee docenten en studenten op één plek een optimale mix van (open én gelicenseerde) digitale leermaterialen kunnen samenstellen en gebruiken is het ambitieuze doel waar SURF samen met onderwijsinstellingen binnen het Versnellingsplan aan werkt. Om dit te realiseren en tot een succes te maken hebben we gewerkt aan een integrale aanpak waarbij samenwerking het sleutelwoord was. In deze talk nemen we je mee in de wereld van digitale en open leermaterialen, de rol die samenwerking op verschillende niveaus daarin speelt en wat jij kan doen binnen je eigen instelling.
Kan jij wat. Over de groei en reflectie tool voor de onderwijskundig ict prof...SURF Events
Er zijn steeds meer medewerkers nodig die docenten faciliteren en professionaliseren op het gebied van onderwijsinnovaties met ICT. Deze functie voor onderwijskundig ICT-professionals wordt verschillend vormgegeven op onze onderwijsinstellingen. Uit een onderzoek is gebleken dat er behoefte is aan een instrument waarmee dezemedewerkers, en hun instellingen, hun werk en positie kunnen versterken en zichzelf kunnen professionaliseren. We hebben hiervoor een groei- en reflectietool ontwikkeld die de medewerker inzicht geeft in de beheersing over vijf rollen, wat een dialoog oplevert met collega's over mogelijkheden en wens tot ontwikkeling. Ook geeft de tool inzicht in de beheersing van deze rollen binnen het team. Daarmee is duidelijk te maken waar blinde vlekken zijn in het team. De vijf rollen zijn: veranderaar, coach, adviseur, netwerker, inspirator.
"Het is een uitdaging om goed hybride onderwijs te geven. Hoe zorg je in een hybride setting voor activering van beide groepen deelnemers? En hoe creëer je gelijkheid van beide groepen? Hybride onderwijs is een vorm die blijvend is. Er zijn altijd studenten die vanwege omstandigheden niet fysiek aanwezig kunnen zijn. Dus iets om rekening mee te houden in je onderwijsontwerp.
In deze sessie gaan we in ronde tafelgesprekken met elkaar brainstormen over goede hybride onderwijsvormen. Ter inspiratie zullen ook een aantal verrassende hybride onderwijsvormen gedeeld worden. Doe mee en doe inspiratie op."
Strategies for Effective Upskilling is a presentation by Chinwendu Peace in a Your Skill Boost Masterclass organisation by the Excellence Foundation for South Sudan on 08th and 09th June 2024 from 1 PM to 3 PM on each day.
How to Make a Field Mandatory in Odoo 17Celine George
In Odoo, making a field required can be done through both Python code and XML views. When you set the required attribute to True in Python code, it makes the field required across all views where it's used. Conversely, when you set the required attribute in XML views, it makes the field required only in the context of that particular view.
This presentation was provided by Steph Pollock of The American Psychological Association’s Journals Program, and Damita Snow, of The American Society of Civil Engineers (ASCE), for the initial session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session One: 'Setting Expectations: a DEIA Primer,' was held June 6, 2024.
Leveraging Generative AI to Drive Nonprofit InnovationTechSoup
In this webinar, participants learned how to utilize Generative AI to streamline operations and elevate member engagement. Amazon Web Service experts provided a customer specific use cases and dived into low/no-code tools that are quick and easy to deploy through Amazon Web Service (AWS.)
This document provides an overview of wound healing, its functions, stages, mechanisms, factors affecting it, and complications.
A wound is a break in the integrity of the skin or tissues, which may be associated with disruption of the structure and function.
Healing is the body’s response to injury in an attempt to restore normal structure and functions.
Healing can occur in two ways: Regeneration and Repair
There are 4 phases of wound healing: hemostasis, inflammation, proliferation, and remodeling. This document also describes the mechanism of wound healing. Factors that affect healing include infection, uncontrolled diabetes, poor nutrition, age, anemia, the presence of foreign bodies, etc.
Complications of wound healing like infection, hyperpigmentation of scar, contractures, and keloid formation.
Chapter wise All Notes of First year Basic Civil Engineering.pptxDenish Jangid
Chapter wise All Notes of First year Basic Civil Engineering
Syllabus
Chapter-1
Introduction to objective, scope and outcome the subject
Chapter 2
Introduction: Scope and Specialization of Civil Engineering, Role of civil Engineer in Society, Impact of infrastructural development on economy of country.
Chapter 3
Surveying: Object Principles & Types of Surveying; Site Plans, Plans & Maps; Scales & Unit of different Measurements.
Linear Measurements: Instruments used. Linear Measurement by Tape, Ranging out Survey Lines and overcoming Obstructions; Measurements on sloping ground; Tape corrections, conventional symbols. Angular Measurements: Instruments used; Introduction to Compass Surveying, Bearings and Longitude & Latitude of a Line, Introduction to total station.
Levelling: Instrument used Object of levelling, Methods of levelling in brief, and Contour maps.
Chapter 4
Buildings: Selection of site for Buildings, Layout of Building Plan, Types of buildings, Plinth area, carpet area, floor space index, Introduction to building byelaws, concept of sun light & ventilation. Components of Buildings & their functions, Basic concept of R.C.C., Introduction to types of foundation
Chapter 5
Transportation: Introduction to Transportation Engineering; Traffic and Road Safety: Types and Characteristics of Various Modes of Transportation; Various Road Traffic Signs, Causes of Accidents and Road Safety Measures.
Chapter 6
Environmental Engineering: Environmental Pollution, Environmental Acts and Regulations, Functional Concepts of Ecology, Basics of Species, Biodiversity, Ecosystem, Hydrological Cycle; Chemical Cycles: Carbon, Nitrogen & Phosphorus; Energy Flow in Ecosystems.
Water Pollution: Water Quality standards, Introduction to Treatment & Disposal of Waste Water. Reuse and Saving of Water, Rain Water Harvesting. Solid Waste Management: Classification of Solid Waste, Collection, Transportation and Disposal of Solid. Recycling of Solid Waste: Energy Recovery, Sanitary Landfill, On-Site Sanitation. Air & Noise Pollution: Primary and Secondary air pollutants, Harmful effects of Air Pollution, Control of Air Pollution. . Noise Pollution Harmful Effects of noise pollution, control of noise pollution, Global warming & Climate Change, Ozone depletion, Greenhouse effect
Text Books:
1. Palancharmy, Basic Civil Engineering, McGraw Hill publishers.
2. Satheesh Gopi, Basic Civil Engineering, Pearson Publishers.
3. Ketki Rangwala Dalal, Essentials of Civil Engineering, Charotar Publishing House.
4. BCP, Surveying volume 1
বাংলাদেশের অর্থনৈতিক সমীক্ষা ২০২৪ [Bangladesh Economic Review 2024 Bangla.pdf] কম্পিউটার , ট্যাব ও স্মার্ট ফোন ভার্সন সহ সম্পূর্ণ বাংলা ই-বুক বা pdf বই " সুচিপত্র ...বুকমার্ক মেনু 🔖 ও হাইপার লিংক মেনু 📝👆 যুক্ত ..
আমাদের সবার জন্য খুব খুব গুরুত্বপূর্ণ একটি বই ..বিসিএস, ব্যাংক, ইউনিভার্সিটি ভর্তি ও যে কোন প্রতিযোগিতা মূলক পরীক্ষার জন্য এর খুব ইম্পরট্যান্ট একটি বিষয় ...তাছাড়া বাংলাদেশের সাম্প্রতিক যে কোন ডাটা বা তথ্য এই বইতে পাবেন ...
তাই একজন নাগরিক হিসাবে এই তথ্য গুলো আপনার জানা প্রয়োজন ...।
বিসিএস ও ব্যাংক এর লিখিত পরীক্ষা ...+এছাড়া মাধ্যমিক ও উচ্চমাধ্যমিকের স্টুডেন্টদের জন্য অনেক কাজে আসবে ...
This presentation includes basic of PCOS their pathology and treatment and also Ayurveda correlation of PCOS and Ayurvedic line of treatment mentioned in classics.
How to Setup Warehouse & Location in Odoo 17 InventoryCeline George
In this slide, we'll explore how to set up warehouses and locations in Odoo 17 Inventory. This will help us manage our stock effectively, track inventory levels, and streamline warehouse operations.
LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UPRAHUL
This Dissertation explores the particular circumstances of Mirzapur, a region located in the
core of India. Mirzapur, with its varied terrains and abundant biodiversity, offers an optimal
environment for investigating the changes in vegetation cover dynamics. Our study utilizes
advanced technologies such as GIS (Geographic Information Systems) and Remote sensing to
analyze the transformations that have taken place over the course of a decade.
The complex relationship between human activities and the environment has been the focus
of extensive research and worry. As the global community grapples with swift urbanization,
population expansion, and economic progress, the effects on natural ecosystems are becoming
more evident. A crucial element of this impact is the alteration of vegetation cover, which plays a
significant role in maintaining the ecological equilibrium of our planet.Land serves as the foundation for all human activities and provides the necessary materials for
these activities. As the most crucial natural resource, its utilization by humans results in different
'Land uses,' which are determined by both human activities and the physical characteristics of the
land.
The utilization of land is impacted by human needs and environmental factors. In countries
like India, rapid population growth and the emphasis on extensive resource exploitation can lead
to significant land degradation, adversely affecting the region's land cover.
Therefore, human intervention has significantly influenced land use patterns over many
centuries, evolving its structure over time and space. In the present era, these changes have
accelerated due to factors such as agriculture and urbanization. Information regarding land use and
cover is essential for various planning and management tasks related to the Earth's surface,
providing crucial environmental data for scientific, resource management, policy purposes, and
diverse human activities.
Accurate understanding of land use and cover is imperative for the development planning
of any area. Consequently, a wide range of professionals, including earth system scientists, land
and water managers, and urban planners, are interested in obtaining data on land use and cover
changes, conversion trends, and other related patterns. The spatial dimensions of land use and
cover support policymakers and scientists in making well-informed decisions, as alterations in
these patterns indicate shifts in economic and social conditions. Monitoring such changes with the
help of Advanced technologies like Remote Sensing and Geographic Information Systems is
crucial for coordinated efforts across different administrative levels. Advanced technologies like
Remote Sensing and Geographic Information Systems
9
Changes in vegetation cover refer to variations in the distribution, composition, and overall
structure of plant communities across different temporal and spatial scales. These changes can
occur natural.
How to Fix the Import Error in the Odoo 17Celine George
An import error occurs when a program fails to import a module or library, disrupting its execution. In languages like Python, this issue arises when the specified module cannot be found or accessed, hindering the program's functionality. Resolving import errors is crucial for maintaining smooth software operation and uninterrupted development processes.
How to Manage Your Lost Opportunities in Odoo 17 CRMCeline George
Odoo 17 CRM allows us to track why we lose sales opportunities with "Lost Reasons." This helps analyze our sales process and identify areas for improvement. Here's how to configure lost reasons in Odoo 17 CRM
3. Stakeholders
Greller & Draschler (2012)
distinguish between “data
subjects” and “data clients”
Students Instructors
Senior
management
Analytics
committee
Academic
administrators
Data scientist
Educational
researcher
Learning
systems staff
Learning
content staff
Learning
support staff
Student affairs Government
4. Macfadyen & Dawson, 2012
“A focus on technological issues merely generates ‘urgency’
around technical systems and integration concerns, and
fails to address the complexities and challenges of
institutional culture and change.”
5. Arnold, Lonn & Pistilli, 2014
Survey of 33 people in 9 North American universities
Rating from strongly disagree to strongly agree e.g.
“My institution has a culture that accepts the use of data to
make decisions”
“My institution has professionals with knowledge and
expertise in manipulating data from multiple sources and
platforms to conform to institutional specifications”
6. Arnold, Lonn & Pistilli, 2014
Findings
Readiness highly varied across institutions
Culture and process intertwined
Introduced broad institutional readiness as 5th factor
This and ability were of greatest concern
7. Arnold, Lynch, Huston,Wong, Jorn & Olsen (2014)
“Absolutely vital to success was having a leader with a deep
scholarly understanding of learning analytics principles and
practices and the mechanics of creating predictive
models.”
8. Photo: Caroline Kotter
Increase urgency
Build the guiding team
Get the vision right
Communicate for buy-in
Empower action
Create short-term wins
Don’t let up
Make change stick
9. Norris & Bear (2013)
Static reporting
3000+ US
institutions
Dynamic analysis & intervention
8-900+ US
institutions
Optimisation
30-50 US
institutions
10. Siemens, Dawson & Lynch (2013)
unable to identify a single example of an institution which
had implemented an institution-wide learning analytics
strategy
11. 1. Start on a small scale
2. Support and empower the key stakeholders
3. Transparency and openness are key to success
4. Distribute learning analytics governance power
structures (datasets, technical infrastructure &
interventions)
5. Minimise possibilities for conflict between different
stakeholders by defining principles around the
collection and use of the data
Elouazizi (2014)
Tips
33. Group Name Question Main type Importance Responsibility
2 Consent Adverse impact of opting
out on individual
If a student is allowed to opt out of data collection and
analysis could this have a negative impact on their
academic progress?
Ethical 1 Analytics Committee
7 Action Conflict with study goals What should a student do if the suggestions are in
conflict with their study goals?
Ethical 3 Student
8 Adverse impact Oversimplification How can institutions avoid overly simplistic metrics and
decision making which ignore personal circumstances?
Ethical 1 Educational researcher
86 issues in 9 groups
Available from Effective learning analytics blog: analytics.jiscinvolve.org
34. Group Name Question Main type Importance Responsibility
2 Consent Adverse impact of opting
out on individual
If a student is allowed to opt out of data collection and
analysis could this have a negative impact on their
academic progress?
Ethical 1 Analytics Committee
7 Action Conflict with study goals What should a student do if the suggestions are in
conflict with their study goals?
Ethical 3 Student
8 Adverse impact Oversimplification How can institutions avoid overly simplistic metrics and
decision making which ignore personal circumstances?
Ethical 1 Educational researcher
86 issues
jisc.ac.uk/guides/code-of-practice-for-learning-analytics