Phil Winne "Learning Analytics for Learning Science When N = me"CITE
Phil Winne argues that traditional learning science offers limited support for individual learners due to its reliance on randomized controlled trials. However, learning analytics that leverage large datasets can better support learners by clustering data about similar individuals and providing personalized feedback and recommendations. Winne presents nStudy, an online tool that traces self-regulated learning behaviors to gather data and provide analytics to guide learners' monitoring, assembling, rehearsing, and generating of information.
Teaching Information Literacy: A Performance Based Cycleannielibrarian
This document summarizes a presentation about developing and implementing a performance-based assessment of information literacy skills for freshman English students at the University of North Texas. It describes collaborating between the university libraries and English department to deliver library instruction sessions to nearly 600 students over two years. Pre- and post-instruction assessments found students had poor navigation and search skills, despite overestimating their abilities. To improve learning, librarians added active learning exercises and developed software to directly observe students' research performance, finding engagement and demonstration of skills increased. The authors conclude performance-based assessment is needed to truly evaluate information literacy.
Tiffany Barnes "Making a meaningful difference: Leveraging data to improve le...CITE
The document discusses the future of learning and how data can be leveraged to improve learning for most people. It outlines using data to recognize excellence in teaching and learning, provide real-time support, and identify effective collaborations. A case study is described that used an intelligent tutoring system to construct student models and provide feedback based on past student data. Guiding principles of respect, beneficence, and justice are presented for developing learning systems.
This presentation to the MoodleMoot UK/I 2017 provides an overview of Learning Analytics for VLE/LMS data and lessons learned in practice from using this data to model student risk and other characteristics. The findings come from fundamental research and application of Blackboard's X-Ray Learning Analytics application.
This document discusses how school librarians and media coordinators can use action research to improve their programs and advocate for their value. It defines action research as systematic inquiry conducted by educators to solve relevant classroom and school issues. Conducting action research connects to professional standards by helping librarians collect data on student learning and use it to make evidence-based decisions and changes. Findings from action research can also be leveraged to advocate for and improve the school library media program.
How to successfully transition to common core state standardsDreamBox Learning
This document discusses implementing the Common Core State Standards for Mathematics (CCSS-M). It begins by asking questions about how different parts of the mathematics education system are responding to the introduction of the CCSS-M, including states, schools, teacher education programs, and professional development. It then discusses distinguishing between alignment of curriculum and assessments with the standards and ensuring high quality. The rest of the document focuses on one school district's approach to transitioning to the CCSS-M, covering their work on developing curriculum, instruction, professional development, assessment, and engaging parents and the community.
Phil Winne "Learning Analytics for Learning Science When N = me"CITE
Phil Winne argues that traditional learning science offers limited support for individual learners due to its reliance on randomized controlled trials. However, learning analytics that leverage large datasets can better support learners by clustering data about similar individuals and providing personalized feedback and recommendations. Winne presents nStudy, an online tool that traces self-regulated learning behaviors to gather data and provide analytics to guide learners' monitoring, assembling, rehearsing, and generating of information.
Teaching Information Literacy: A Performance Based Cycleannielibrarian
This document summarizes a presentation about developing and implementing a performance-based assessment of information literacy skills for freshman English students at the University of North Texas. It describes collaborating between the university libraries and English department to deliver library instruction sessions to nearly 600 students over two years. Pre- and post-instruction assessments found students had poor navigation and search skills, despite overestimating their abilities. To improve learning, librarians added active learning exercises and developed software to directly observe students' research performance, finding engagement and demonstration of skills increased. The authors conclude performance-based assessment is needed to truly evaluate information literacy.
Tiffany Barnes "Making a meaningful difference: Leveraging data to improve le...CITE
The document discusses the future of learning and how data can be leveraged to improve learning for most people. It outlines using data to recognize excellence in teaching and learning, provide real-time support, and identify effective collaborations. A case study is described that used an intelligent tutoring system to construct student models and provide feedback based on past student data. Guiding principles of respect, beneficence, and justice are presented for developing learning systems.
This presentation to the MoodleMoot UK/I 2017 provides an overview of Learning Analytics for VLE/LMS data and lessons learned in practice from using this data to model student risk and other characteristics. The findings come from fundamental research and application of Blackboard's X-Ray Learning Analytics application.
This document discusses how school librarians and media coordinators can use action research to improve their programs and advocate for their value. It defines action research as systematic inquiry conducted by educators to solve relevant classroom and school issues. Conducting action research connects to professional standards by helping librarians collect data on student learning and use it to make evidence-based decisions and changes. Findings from action research can also be leveraged to advocate for and improve the school library media program.
How to successfully transition to common core state standardsDreamBox Learning
This document discusses implementing the Common Core State Standards for Mathematics (CCSS-M). It begins by asking questions about how different parts of the mathematics education system are responding to the introduction of the CCSS-M, including states, schools, teacher education programs, and professional development. It then discusses distinguishing between alignment of curriculum and assessments with the standards and ensuring high quality. The rest of the document focuses on one school district's approach to transitioning to the CCSS-M, covering their work on developing curriculum, instruction, professional development, assessment, and engaging parents and the community.
Open Academic Analytics Initiative - Campus Technology Innovator Award Presen...Joshua
The document provides an overview of the Open Academic Analytics Initiative (OAAI) project. The key points are:
1) OAAI is a project funded by the Gates Foundation to develop an open-source academic early alert system using learning analytics and predictive modeling of student data from LMS, SIS, and surveys.
2) The project developed a predictive model and deployed interventions to over 2,200 students across four institutions. Results showed statistically significant improvements in final grades and content mastery for at-risk students who received interventions.
3) Future research interests include factors that impact intervention effectiveness, customizing models for specific programs/subjects, and whether analytics can identify at-risk students who otherwise wouldn
This document summarizes a presentation about collaborations and assessments in student learning. It discusses three models of interaction - parallel work, cooperation, and collaboration - and provides examples of how these models have been manifested in assignments at Linfield College. It also describes assessments that have been used to evaluate students' research skills and inform collaborations between librarians and faculty to enhance student learning.
Putting The P A L Model & Rt I Pieces Togetherguest539850
The document discusses using the Response to Intervention (RtI) model to facilitate collaboration between general education, prevention programs, and special education. It proposes a research study to examine the impact of RtI and technology-assisted reading support on students in the PAL program. Preliminary data shows promising results for PAL students who received Headsprout computer-assisted instruction, with most data points above the aim line and doubled or tripled reading rates. The purpose is to compare effects of supplemental reading instruction using Headsprout technology on PAL student outcomes.
This document discusses using data and learning analytics to inform blended learning design and delivery. It describes learning design and curriculum design, as well as learning analytics and how they interact. Potential uses of data discussed include understanding what learning materials and activities students engage with the most, what students are learning, and tailoring learning design based on the characteristics of incoming student cohorts. Challenges around legal/ethical issues, data wrangling, and institutional culture are also addressed. The document encourages discussion of current and potential uses of curriculum analytics within institutions.
From theory to practice blending the math classroom and creating a data cultu...DreamBox Learning
This document discusses strategies for creating a data-driven culture in schools. It emphasizes the importance of leadership, collecting and analyzing various types of student and school data, and using data to make instructional decisions. Key steps include developing a leadership team, gathering and reviewing data patterns, generating hypotheses, setting goals, designing strategies, and evaluating outcomes. Barriers to effective data use include lack of training and clear priorities, as well as outdated technology. The document provides examples of integrating technology and data through programs, applications, and blended learning models.
The document discusses learning analytics and outlines an agenda for an OER policy roundtable. It defines learning analytics and academic analytics. It discusses benefits like reducing attrition and personalizing learning. Examples from universities in Australia are provided. The document outlines what teaching and learning data is needed, strategies for acquiring this data, and potential actionable insights around retention, at-risk students, and learning effectiveness. It concludes with recommendations for next steps like funding research projects, establishing an open analytics platform, and pilot studies.
Gobert, Dede, Martin, Rose "Panel: Learning Analytics and Learning Sciences"CITE
This panel discussed learning analytics and learning sciences. Janice Gobert discussed problems with standardized tests and how interactive labs have assessment potential but challenges. Chris Dede discussed his research on immersive learning using virtual reality and challenges assessing open-ended environments. Taylor Martin discussed how microgenetic research and learning analytics can improve data collection and analysis. Carolyn Rose discussed using conversational data and a new theoretical framework analyzing social processes and distances. The panel addressed if these methods lead to improved standardized test scores, with Janice and Chris noting validity issues with standardized tests and that these methods improve deeper learning over rote memorization.
Educational Technology Update for Future Principals in WA State provides information about:
1) Key findings from the 2015-2016 Educational Technology Survey showing widespread connectivity and access to instructional devices in schools across Washington state.
2) Statewide educational technology initiatives including the K-20 Network, open educational resources, technology standards, and online assessments.
3) New legislation regarding computer science, digital citizenship, and sexual health education.
This document discusses tools and methods for quantitative and qualitative data analysis. It explains the different types of data, including quantitative, qualitative, and mixed methods data. For quantitative analysis, it covers descriptive statistics like measures of central tendency, frequency distributions, and cross-tabulations. Qualitative analysis techniques include thematic coding, word clouds, and abstraction. Specific tools demonstrated include Excel for basic statistics, SurveyMonkey for surveys, and NVivo for advanced qualitative coding. The goal is to help users select the right analysis method and tools based on their data types and objectives.
The document discusses how teachers can use learning analytics and data to improve teaching and learning. It defines learning analytics as measuring, collecting, analyzing, and reporting data about learners and learning environments to understand and optimize the learning process. It provides examples of how teachers can use grade book data, anonymous student surveys, outcome mapping, individualized learning tools, and assessment item analysis to gain insights and make improvements.
The document discusses several open learning analytics initiatives:
1) Open Learning Analytics (OLA) which aims to create an open ecosystem around LA software, standards, models, content and transparency.
2) The LAMP program which seeks to develop open educational resources and curriculum around learning analytics through MOOCs and collaboration between universities.
3) Open learning about open learning analytics through the creation of MOOCs and graduate programs focused on LA.
4) The LACE project which works to develop an online community for sharing LA knowledge and connecting professionals.
5) Two open access journals focused on publishing LA research - the Journal of Learning Analytics and the Journal of Educational Data Mining.
This document discusses learning analytics and the differences between academic analytics and learning analytics. It provides:
- Definitions of academic analytics as focused on institutional decision making and management, while learning analytics focuses on supporting student learning and is aimed at learners and instructors.
- An overview of how learning analytics has evolved from traditional testing and assessment to incorporate larger datasets, models, personalization techniques, and insights from digital traces like online activity logs.
- Several examples of how learning analytics can provide insights at the individual student level, within groups, in the classroom, and across academic programs.
- Some of the challenges in implementing learning analytics including issues around ethics, data access, and developing institutional capacity like data science
John SanGiovanni - Transitioning and Implementing the Common Core State Stand...DreamBox Learning
Transitioning to the Common Core Standards requires teachers to use new methods that emphasize a conceptual understanding of Math. In this month’s Blended Learning webinar, presenter John SanGiovanni discussed best practices for implementing these methods. John shared a case study from Howard County Schools where administrators created an implementation plan that included a feedback and support system, as well as a portal of online tools for educators and administrators. Watch the webinar to find out more.
Speakers:
David Lewis, senior analytics consultant, Jisc
Martin Lynch, learning systems manager, University of South Wales
An opportunity to find out about how an institution has been implementing learning analytics to support the student journey with and opportunity to discuss issues and possibilities that the use of learning analytics may create.
‘Eyes Wide Shut’: The Challenge of Evaluating E-Learningcies
This document discusses evaluating e-learning and the challenges of using data from virtual learning environments (VLEs) like WebCT. It notes that VLE data requires context and careful interpretation to be useful. While the data provides information on usage, it does not necessarily reflect the learning experience. The Center for Excellence in Teaching and Learning promotes a holistic evaluation approach using both quantitative VLE data and qualitative methods like surveys, focus groups, and reflective journals to understand teaching practices and their impact on learning.
The document discusses challenges in using student performance data and teacher information to measure educational productivity. It identifies issues such as poor links between student and teacher data, a lack of data on educational system inputs, and gaps in core information systems that hinder productivity analysis. It also notes analytical gaps like difficulties assigning productivity when tests are given mid-year and a lack of connections between testing and licensure data. Solutions proposed include improving gradebook and testing data collection, developing tracking systems for professional development, and integrating human resources and learning management systems to facilitate more accurate productivity measurement.
This document discusses how analytics can be used to improve student success. It begins by describing a session that shows how analytics identify opportunities to improve student success. Participants will learn how to connect predictions of risk to interventions most likely to work under different conditions. The document then discusses how data is changing education and how analytics can be applied in areas like enrollment management, student services, and program design. It provides examples of how predictive analytics have been used at various institutions to improve retention, successful course completion, and graduation rates. The document emphasizes linking predictions of risk to specific interventions and measuring the impact and ROI of different interventions.
Assessing critical thinking in moo cs preliminary proposal 201309Su-Tuan Lulee
This document discusses a study assessing critical thinking skills in MOOCs through content analysis and social network analysis. The study aims to determine if results from these two methods are highly related. It will analyze discussion data from the learning management systems of several MOOCs to examine levels of critical thinking and how interaction in discussions relates to knowledge construction. The researcher assumes more interaction leads to higher critical thinking and that measures from social network analysis will highly correlate with critical thinking levels from content analysis. Limitations include only analyzing LMS discussions, convenience sampling, and a small sample size of 2-3 MOOCs.
SAVI (Social Assets and Vulnerabilities Indicators) is a community information system that provides reliable data, analysis tools, and capacity building resources to help organizations and individuals make informed decisions. It collects over 30 types of social, economic, health, and demographic data from across central Indiana and organizes it by geographic boundaries like counties, townships, and census tracts. SAVI's data and tools can help users understand community needs and assets, identify vulnerable populations, inform strategic planning and grant applications, and guide decision making. The document outlines SAVI's services and provides an example of how its 7-step data-driven decision making process can be applied to analyze issues in a neighborhood and develop action plans to address needs
The story of GAeL (Graduate Attributes eLearning): Embedding Information Lit...Lorna Dodd
1. Maynooth University implemented a new curriculum focused on developing critical skills in students and embedding information literacy.
2. The library saw this as an opportunity to collaborate more broadly by developing resources to teach key information literacy competencies across disciplines.
3. They created online tutorials, videos and guides covering topics like evaluating information, researching, citing sources, and understanding plagiarism to help students develop skills outlined in the university's graduate attributes.
This short document promotes creating presentations using Haiku Deck, a tool for making slideshows. It encourages the reader to get started making their own Haiku Deck presentation and sharing it on SlideShare. In just one sentence, it pitches the idea of using Haiku Deck to easily create engaging slideshows.
Open Academic Analytics Initiative - Campus Technology Innovator Award Presen...Joshua
The document provides an overview of the Open Academic Analytics Initiative (OAAI) project. The key points are:
1) OAAI is a project funded by the Gates Foundation to develop an open-source academic early alert system using learning analytics and predictive modeling of student data from LMS, SIS, and surveys.
2) The project developed a predictive model and deployed interventions to over 2,200 students across four institutions. Results showed statistically significant improvements in final grades and content mastery for at-risk students who received interventions.
3) Future research interests include factors that impact intervention effectiveness, customizing models for specific programs/subjects, and whether analytics can identify at-risk students who otherwise wouldn
This document summarizes a presentation about collaborations and assessments in student learning. It discusses three models of interaction - parallel work, cooperation, and collaboration - and provides examples of how these models have been manifested in assignments at Linfield College. It also describes assessments that have been used to evaluate students' research skills and inform collaborations between librarians and faculty to enhance student learning.
Putting The P A L Model & Rt I Pieces Togetherguest539850
The document discusses using the Response to Intervention (RtI) model to facilitate collaboration between general education, prevention programs, and special education. It proposes a research study to examine the impact of RtI and technology-assisted reading support on students in the PAL program. Preliminary data shows promising results for PAL students who received Headsprout computer-assisted instruction, with most data points above the aim line and doubled or tripled reading rates. The purpose is to compare effects of supplemental reading instruction using Headsprout technology on PAL student outcomes.
This document discusses using data and learning analytics to inform blended learning design and delivery. It describes learning design and curriculum design, as well as learning analytics and how they interact. Potential uses of data discussed include understanding what learning materials and activities students engage with the most, what students are learning, and tailoring learning design based on the characteristics of incoming student cohorts. Challenges around legal/ethical issues, data wrangling, and institutional culture are also addressed. The document encourages discussion of current and potential uses of curriculum analytics within institutions.
From theory to practice blending the math classroom and creating a data cultu...DreamBox Learning
This document discusses strategies for creating a data-driven culture in schools. It emphasizes the importance of leadership, collecting and analyzing various types of student and school data, and using data to make instructional decisions. Key steps include developing a leadership team, gathering and reviewing data patterns, generating hypotheses, setting goals, designing strategies, and evaluating outcomes. Barriers to effective data use include lack of training and clear priorities, as well as outdated technology. The document provides examples of integrating technology and data through programs, applications, and blended learning models.
The document discusses learning analytics and outlines an agenda for an OER policy roundtable. It defines learning analytics and academic analytics. It discusses benefits like reducing attrition and personalizing learning. Examples from universities in Australia are provided. The document outlines what teaching and learning data is needed, strategies for acquiring this data, and potential actionable insights around retention, at-risk students, and learning effectiveness. It concludes with recommendations for next steps like funding research projects, establishing an open analytics platform, and pilot studies.
Gobert, Dede, Martin, Rose "Panel: Learning Analytics and Learning Sciences"CITE
This panel discussed learning analytics and learning sciences. Janice Gobert discussed problems with standardized tests and how interactive labs have assessment potential but challenges. Chris Dede discussed his research on immersive learning using virtual reality and challenges assessing open-ended environments. Taylor Martin discussed how microgenetic research and learning analytics can improve data collection and analysis. Carolyn Rose discussed using conversational data and a new theoretical framework analyzing social processes and distances. The panel addressed if these methods lead to improved standardized test scores, with Janice and Chris noting validity issues with standardized tests and that these methods improve deeper learning over rote memorization.
Educational Technology Update for Future Principals in WA State provides information about:
1) Key findings from the 2015-2016 Educational Technology Survey showing widespread connectivity and access to instructional devices in schools across Washington state.
2) Statewide educational technology initiatives including the K-20 Network, open educational resources, technology standards, and online assessments.
3) New legislation regarding computer science, digital citizenship, and sexual health education.
This document discusses tools and methods for quantitative and qualitative data analysis. It explains the different types of data, including quantitative, qualitative, and mixed methods data. For quantitative analysis, it covers descriptive statistics like measures of central tendency, frequency distributions, and cross-tabulations. Qualitative analysis techniques include thematic coding, word clouds, and abstraction. Specific tools demonstrated include Excel for basic statistics, SurveyMonkey for surveys, and NVivo for advanced qualitative coding. The goal is to help users select the right analysis method and tools based on their data types and objectives.
The document discusses how teachers can use learning analytics and data to improve teaching and learning. It defines learning analytics as measuring, collecting, analyzing, and reporting data about learners and learning environments to understand and optimize the learning process. It provides examples of how teachers can use grade book data, anonymous student surveys, outcome mapping, individualized learning tools, and assessment item analysis to gain insights and make improvements.
The document discusses several open learning analytics initiatives:
1) Open Learning Analytics (OLA) which aims to create an open ecosystem around LA software, standards, models, content and transparency.
2) The LAMP program which seeks to develop open educational resources and curriculum around learning analytics through MOOCs and collaboration between universities.
3) Open learning about open learning analytics through the creation of MOOCs and graduate programs focused on LA.
4) The LACE project which works to develop an online community for sharing LA knowledge and connecting professionals.
5) Two open access journals focused on publishing LA research - the Journal of Learning Analytics and the Journal of Educational Data Mining.
This document discusses learning analytics and the differences between academic analytics and learning analytics. It provides:
- Definitions of academic analytics as focused on institutional decision making and management, while learning analytics focuses on supporting student learning and is aimed at learners and instructors.
- An overview of how learning analytics has evolved from traditional testing and assessment to incorporate larger datasets, models, personalization techniques, and insights from digital traces like online activity logs.
- Several examples of how learning analytics can provide insights at the individual student level, within groups, in the classroom, and across academic programs.
- Some of the challenges in implementing learning analytics including issues around ethics, data access, and developing institutional capacity like data science
John SanGiovanni - Transitioning and Implementing the Common Core State Stand...DreamBox Learning
Transitioning to the Common Core Standards requires teachers to use new methods that emphasize a conceptual understanding of Math. In this month’s Blended Learning webinar, presenter John SanGiovanni discussed best practices for implementing these methods. John shared a case study from Howard County Schools where administrators created an implementation plan that included a feedback and support system, as well as a portal of online tools for educators and administrators. Watch the webinar to find out more.
Speakers:
David Lewis, senior analytics consultant, Jisc
Martin Lynch, learning systems manager, University of South Wales
An opportunity to find out about how an institution has been implementing learning analytics to support the student journey with and opportunity to discuss issues and possibilities that the use of learning analytics may create.
‘Eyes Wide Shut’: The Challenge of Evaluating E-Learningcies
This document discusses evaluating e-learning and the challenges of using data from virtual learning environments (VLEs) like WebCT. It notes that VLE data requires context and careful interpretation to be useful. While the data provides information on usage, it does not necessarily reflect the learning experience. The Center for Excellence in Teaching and Learning promotes a holistic evaluation approach using both quantitative VLE data and qualitative methods like surveys, focus groups, and reflective journals to understand teaching practices and their impact on learning.
The document discusses challenges in using student performance data and teacher information to measure educational productivity. It identifies issues such as poor links between student and teacher data, a lack of data on educational system inputs, and gaps in core information systems that hinder productivity analysis. It also notes analytical gaps like difficulties assigning productivity when tests are given mid-year and a lack of connections between testing and licensure data. Solutions proposed include improving gradebook and testing data collection, developing tracking systems for professional development, and integrating human resources and learning management systems to facilitate more accurate productivity measurement.
This document discusses how analytics can be used to improve student success. It begins by describing a session that shows how analytics identify opportunities to improve student success. Participants will learn how to connect predictions of risk to interventions most likely to work under different conditions. The document then discusses how data is changing education and how analytics can be applied in areas like enrollment management, student services, and program design. It provides examples of how predictive analytics have been used at various institutions to improve retention, successful course completion, and graduation rates. The document emphasizes linking predictions of risk to specific interventions and measuring the impact and ROI of different interventions.
Assessing critical thinking in moo cs preliminary proposal 201309Su-Tuan Lulee
This document discusses a study assessing critical thinking skills in MOOCs through content analysis and social network analysis. The study aims to determine if results from these two methods are highly related. It will analyze discussion data from the learning management systems of several MOOCs to examine levels of critical thinking and how interaction in discussions relates to knowledge construction. The researcher assumes more interaction leads to higher critical thinking and that measures from social network analysis will highly correlate with critical thinking levels from content analysis. Limitations include only analyzing LMS discussions, convenience sampling, and a small sample size of 2-3 MOOCs.
SAVI (Social Assets and Vulnerabilities Indicators) is a community information system that provides reliable data, analysis tools, and capacity building resources to help organizations and individuals make informed decisions. It collects over 30 types of social, economic, health, and demographic data from across central Indiana and organizes it by geographic boundaries like counties, townships, and census tracts. SAVI's data and tools can help users understand community needs and assets, identify vulnerable populations, inform strategic planning and grant applications, and guide decision making. The document outlines SAVI's services and provides an example of how its 7-step data-driven decision making process can be applied to analyze issues in a neighborhood and develop action plans to address needs
The story of GAeL (Graduate Attributes eLearning): Embedding Information Lit...Lorna Dodd
1. Maynooth University implemented a new curriculum focused on developing critical skills in students and embedding information literacy.
2. The library saw this as an opportunity to collaborate more broadly by developing resources to teach key information literacy competencies across disciplines.
3. They created online tutorials, videos and guides covering topics like evaluating information, researching, citing sources, and understanding plagiarism to help students develop skills outlined in the university's graduate attributes.
This short document promotes creating presentations using Haiku Deck, a tool for making slideshows. It encourages the reader to get started making their own Haiku Deck presentation and sharing it on SlideShare. In just one sentence, it pitches the idea of using Haiku Deck to easily create engaging slideshows.
Nitesh Kumar is seeking a position as an Associate Software Engineer utilizing his 2 years of experience developing applications using Java, Servlet, JSP, JDBC, Hibernate, and Eclipse. He has experience developing CRM and social networking applications, including working on video, music, games, photo, and blog features. Nitesh has a B.Tech in Electronics and Communication Engineering and skills in technologies including Java, JDBC, Servlets, JSP, Spring, Hibernate, MySQL, Oracle, Tomcat, RESTful web services, HTML, XML, and Maven.
Ebben az előadásban a kommunikációelmélet tudományának területeit mutatom be, hogy mit foglalnak magukba, és milyen területeit boncolgatja a tudomány magának a kommunikációnak.
The document provides scripture passages that encourage remembering the words of prophets and apostles about scoffers coming in the last days. It discusses how scoffers follow ungodly desires, create divisions, and do not have the Spirit. Jude wants believers to (1) build themselves up in faith through spiritual growth, (2) pray in the Holy Spirit with the help of the Spirit according to God's will, (3) keep themselves in God's love as they wait for Jesus, (4) show mercy to doubters, and (5) save others from hell by snatching them from the fire of sin.
The document discusses how St. Francis of Assisi Parish in Centerville, Ohio was awarded the Pentecost Award for their outstanding evangelization efforts through the JustFaith program. JustFaith is a 30-week process that focuses on conversion and value classification, leading parishioners at St. Francis to start various social ministry programs focused on issues like agriculture, prison ministry, and helping unemployed workers. As a result of JustFaith, St. Francis has seen a doubling in size of their St. Vincent de Paul Society, an increase in Lenten Rice Bowl collections, and numerous parishioners become actively involved in social justice causes.
Richard McClain has over 13 years of experience as a manager and supervisor at Duke Energy and Cinergy. He currently serves as the Manager of Distribution Resource Planning, Scheduling, and Analysis at Duke Energy Indiana, where he oversees $146 million in annual capital construction and maintenance work plans. Previously, he held roles such as General Supervisor and Customer Project Supervisor, where he coordinated projects, personnel, and day-to-day operations. McClain demonstrates leadership, strategic thinking, problem solving, and communication skills. He has a Master's degree in Business Administration and a Bachelor's degree in Science.
E-book del progetto "Ripartire dalle radici. la memoria e il sapere al servizio di un progetto per una nuova qualità sociale della vita nel rione Monti"
Realizzato da Upter Solidarietà, in collaborazione con
Fitel Lazio, Associazione Culturale Sportiva Ricreativa Rione Monti, Associazione Storie di Mondi Possibili.
Finanziato dalla Provincia di Roma, Dipartimento IX “Servizi Sociali”, bando Prevenzione Mille.
H Εταιρία
Η INTELLIGENT TECHNOLOGIES ξεκίνησε την δραστηριότητα της τον Απρίλιο του 2000 με στόχο την εξειδίκευση στον χώρο των Λιανικών Πωλήσεων, με αποκλειστικό αντικείμενο να προτείνει και να υλοποιεί ολοκληρωμένες λύσεις προσαρμοσμένες στις σύγχρονες απαιτήσεις για τη διαχείριση από το μικρό κατάστημα μέχρι την οργανωμένη διανομή και από τον μικρό επαγγελματία μέχρι τον franchisee. Αυτό επιτυγχάνεται τόσο με την ευελιξία των προϊόντων όσο και με την άψογη τεχνολογική υποστήριξη ,την σωστή συμβουλευτική κατεύθυνση.
Στο πρόσωπό μας θα βρείτε όχι μόνο τον πεπειραμένο σύμβουλο αλλά και τον φίλο, έτοιμο να λύσει το πρόβλημά.
Τα προϊόντα
Τηλεφωνικά Κέντρα LG-ERICSON (Office,Company,Hotel,Maritime)
Συστήματα Ασφάλειας Κάμερες , Συναγερμοί
Wi-fi (Office, Company, Hotel, Maritime)
Υποδομές Δικτύων & Internet
Ταμειακά & Ζυγιστικά Συστήματα
P.o.s ( Point Of Sales) , Θερμικοί εκτυπωτές .
Desktop environments provide users with a graphical user interface (GUI) for interacting with the operating system through common elements like icons, windows, folders, and desktop widgets. They aim to mimic real-world interactions using the desktop metaphor. A desktop environment consists of a window manager that handles user interactions and widget toolkits that give applications a consistent graphical interface. It allows users to easily access and edit files while hiding more advanced operating system features behind a simple interface.
A Three-Pronged Model To Learning Analysis And Instructional DesignCourtney Esco
The document summarizes a three-pronged model for conducting learning analysis and using the findings to inform instructional design processes. The model includes an analytic-quantitative dimension using statistical analysis of assessment data, an interpretive-qualitative dimension using survey and interview data to understand student experiences, and a connoisseur-appraisive dimension using expert reviews to identify creative or critical elements. As a case study, the model is applied to analyze an introductory microeconomics course focusing on attrition rates, delivery format effectiveness, student workload challenges, and opportunities to improve feedback and instructor presence. The discussion explores how integrating traditional assessment with learning analytics and adding an artistic perspective can provide a holistic view of student learning.
Learning analytics - what can we achieve together.pptxRebecca Ferguson
Keynote given on 7 June 2023 by Rebecca Ferguson of The Open University in the UK at the Learning Analytics Summer Institute (LASI) organised by the Society for Learning Analytics Research (SoLAR) in Singapore.
This document discusses assessment at various levels - instructional, program, and institutional. It defines assessment as determining what you want to know and how to measure it, not as evaluation. The document provides examples of formative and summative instructional assessments including classroom assessment techniques. It also discusses tying instruction to learning outcomes and assessing at the program level by examining outcomes. Finally, it discusses institutional level assessment through tools like rubric assessment of undergraduate learning outcomes.
Action Research in a Community of Practice: from Disciplinary Teaching to Sch...witthaus
Workshop co-presented with Keith Pond at the Chartered Association of Business Schools #LTSE2017 in Bristol, 25 April 2017. Developed in collaboration with the L'boro SBE Community of Practice founders, Chris WIlson and Alex WIlson.
Designing Learning Analytics for Humans with Humansalywise
The document discusses designing learning analytics tools with a human-centered approach by involving intended users. It notes that past learning analytics have focused more on technical systems than human ones. Only a small percentage of tools reported user needs analysis or usability testing. This can result in tools being misaligned with user needs and perceptions, undermining trust. The presentation describes NYU's learning analytics work which aims to build partnerships putting people first. It discusses initial design processes, fieldwork examining instructor analytics use, and implications for tool redesign and implementation supports to better facilitate pedagogical decision-making.
Towards contemp ed power point presentationAbi Woldhuis
The document discusses a model called "Towards Contemporary Practice" that is designed to encourage teacher professional engagement through developing teachers' "Practical Theories". The model is a 7-step process where teachers 1) develop their own teaching theory, 2) identify an area to improve student engagement, 3) measure current student engagement, 4) research and implement a pedagogical change, 5) measure the impact of the change, 6) evaluate and reflect, and 7) share results. The goal of the model is to promote teacher growth and improved student outcomes through self-reflection and collaboration between teachers.
Towards contemp ed power point presentationAbi Woldhuis
The document discusses a model called "Towards Contemporary Practice" that is designed to encourage teacher professional engagement through developing teachers' "Practical Theories". The model is a 7-step process where teachers 1) develop their own teaching theory, 2) identify an area to improve student engagement, 3) measure current student engagement, 4) research and implement a pedagogical change, 5) measure the impact of the change, 6) evaluate and reflect, and 7) share results. The goal of the model is to promote teacher growth and improved student outcomes through self-reflection and collaboration between teachers.
The document discusses a reference model for learning analytics with four dimensions:
1) Data and environments - what data is collected from what sources
2) Stakeholders - who are the people involved (learners, teachers, institutions)
3) Objectives - why is the data being analyzed (understanding learning, optimizing environments)
4) Methods - how the data is analyzed (data mining, statistics, visualization)
The document reviews related fields like academic analytics, educational data mining, and personalized learning, and proposes that learning analytics draws upon methods from these areas.
This document provides information on action research conducted by Dr. C. Thanavathi. It begins with an introduction to action research, including its purpose and benefits. It then discusses how to conduct action research, outlining the typical cycles and steps involved, from identifying a problem or question, developing a research plan, collecting and analyzing data, and sharing results. Different types of action research are also described, including individual teacher research, collaborative research, and school-wide research. Methods for collecting both qualitative and quantitative data are presented. The document concludes by emphasizing that action research is an ongoing, reflective process aimed at improving teaching and learning.
This document discusses the need for a pan-Canadian e-learning research agenda. It notes that while many research opportunities and questions exist, there have been no systematic efforts to define or address issues through research. Developing an agenda could catalyze action, create a shared community, focus ideas, provide direction, allow for collaboration, and attract funding. The document reviews different approaches to developing an agenda and barriers to e-learning research. It argues that an integrated, pan-Canadian agenda is needed to energize the research community and ensure discovery and adoption of innovations.
- Researchers used a Data-in-a-Day approach to observe multiple classrooms in a single day through short observations, faculty surveys, and student questionnaires.
- Data-in-a-Day allows for collecting, analyzing, and synthesizing data from various stakeholders to evaluate educational reforms and provide timely feedback to schools.
- The document describes a classroom observation checklist and student questionnaire used in the Data-in-a-Day approach to evaluate smaller learning communities at a school.
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
This document describes a comparative study conducted by Kari Weaver and Michelle Petrie that embedded reflective writing prompts into two sociology research methods labs. The study aimed to improve student engagement, research skills, and writing abilities. Students in Lab 1 received three reflective writing prompts at different stages of their research paper development. Lab 2 students received alternative prompts focused on qualitative or quantitative research methodologies. Student responses were thematically coded to assess effects on affect, learning, and research process engagement. The study findings could help inform interventions to better support student writing and research skills in sociology curriculum.
The Faculty Perceptions of Statistics (FPS) scale was administered to 747 faculty participants from seven universities to measure attitudes toward statistics. A hierarchical cluster analysis identified seven clusters within the 33 Likert scale items: Comfort, General Teaching, Expectations, Statistical Literacy, Scholarship, Effective Teaching, and Benefits. Cronbach's alpha values for the clusters ranged from 0.58 to 0.92, indicating acceptable internal reliability. Demographic data including discipline, experience, and statistical training were also collected and compared across clusters.
The document discusses learning analytics and its use at the University of Auckland. It provides examples of how several faculty members are using learning analytics to gain insights into student behavior and learning. One example looks at correlations between course access and grades. Another shares past student performance data to help current students evaluate their own progress. A third discusses using analytics to support an established peer mentoring program. The document emphasizes that learning analytics has potential to improve teaching and learning but also comes with challenges around student privacy and making data meaningful for instructors.
An introduction to Research Approaches in Higher Education for new or existing university teachers or academics interested in using research to inform their teaching.
Similar to The Empty Chair at the Metrics Table (20)
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Gamify it until you make it Improving Agile Development and Operations with ...Ben Linders
So many challenges, so little time. While we’re busy developing software and keeping it operational, we also need to sharpen the saw, but how? Gamification can be a way to look at how you’re doing and find out where to improve. It’s a great way to have everyone involved and get the best out of people.
In this presentation, Ben Linders will show how playing games with the DevOps coaching cards can help to explore your current development and deployment (DevOps) practices and decide as a team what to improve or experiment with.
The games that we play are based on an engagement model. Instead of imposing change, the games enable people to pull in ideas for change and apply those in a way that best suits their collective needs.
By playing games, you can learn from each other. Teams can use games, exercises, and coaching cards to discuss values, principles, and practices, and share their experiences and learnings.
Different game formats can be used to share experiences on DevOps principles and practices and explore how they can be applied effectively. This presentation provides an overview of playing formats and will inspire you to come up with your own formats.
1.) Introduction
Our Movement is not new; it is the same as it was for Freedom, Justice, and Equality since we were labeled as slaves. However, this movement at its core must entail economics.
2.) Historical Context
This is the same movement because none of the previous movements, such as boycotts, were ever completed. For some, maybe, but for the most part, it’s just a place to keep your stable until you’re ready to assimilate them into your system. The rest of the crabs are left in the world’s worst parts, begging for scraps.
3.) Economic Empowerment
Our Movement aims to show that it is indeed possible for the less fortunate to establish their economic system. Everyone else – Caucasian, Asian, Mexican, Israeli, Jews, etc. – has their systems, and they all set up and usurp money from the less fortunate. So, the less fortunate buy from every one of them, yet none of them buy from the less fortunate. Moreover, the less fortunate really don’t have anything to sell.
4.) Collaboration with Organizations
Our Movement will demonstrate how organizations such as the National Association for the Advancement of Colored People, National Urban League, Black Lives Matter, and others can assist in creating a much more indestructible Black Wall Street.
5.) Vision for the Future
Our Movement will not settle for less than those who came before us and stopped before the rights were equal. The economy, jobs, healthcare, education, housing, incarceration – everything is unfair, and what isn’t is rigged for the less fortunate to fail, as evidenced in society.
6.) Call to Action
Our movement has started and implemented everything needed for the advancement of the economic system. There are positions for only those who understand the importance of this movement, as failure to address it will continue the degradation of the people deemed less fortunate.
No, this isn’t Noah’s Ark, nor am I a Prophet. I’m just a man who wrote a couple of books, created a magnificent website: http://www.thearkproject.llc, and who truly hopes to try and initiate a truly sustainable economic system for deprived people. We may not all have the same beliefs, but if our methods are tried, tested, and proven, we can come together and help others. My website: http://www.thearkproject.llc is very informative and considerably controversial. Please check it out, and if you are afraid, leave immediately; it’s no place for cowards. The last Prophet said: “Whoever among you sees an evil action, then let him change it with his hand [by taking action]; if he cannot, then with his tongue [by speaking out]; and if he cannot, then, with his heart – and that is the weakest of faith.” [Sahih Muslim] If we all, or even some of us, did this, there would be significant change. We are able to witness it on small and grand scales, for example, from climate control to business partnerships. I encourage, invite, and challenge you all to support me by visiting my website.
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11June 2024. An online pre-engagement session was organized on Tuesday June 11 to introduce the Science Policy Lab approach and the main components of the conceptual framework.
About 40 experts from around the globe gathered online for a pre-engagement session, paving the way for the first SASi-SPi Science Policy Lab event scheduled for June 18-19, 2024 in Malmö. The session presented the objectives for the upcoming Science Policy Lab (S-PoL), which featured a role-playing game designed to simulate stakeholder interactions and policy interventions for food systems transitions. Participants called for the sharing of meeting materials and continued collaboration, reflecting a strong commitment to advancing towards sustainable agrifood systems.
1. The Empty Chair at the
Metrics Table
Discussing the absence of
educational impact metrics and a
framework for their creation
Lauren Ashby: Associate Editor, SAGE Publications
Mathias Astell: Marketing Manager, Nature Publishing
Group
2. Why are we here?
Currently no metrics which
focus on the educational
impact of scholarly outputs
We propose the creation of
a quantitative metric for
educational impact
3. Questions
1. Who are the audiences of scholarly outputs?
2. What potential measures of educational impact currently exist?
3. What would an educational metric look like, and how might it be used?
6. The Rest of the Picture
Practitioners
Students (School, Further and Higher Education)
Teachers
The journal as a universityJournal Textbook Monograph Reader Handbook Thesis
Web
Resource
Slides Videos
Researcher X X X X X X X
Practitioner X X X X X X
Student X X X X X X X X X
Teacher X X X X X X
8. Online Syllabi and Reading Lists
Homa, N. et al. (2013) “An Analysis of Learning Objectives and Content
Coverage in Introductory Psychology Syllabi”, Teaching of Psychology, 40(3).
“...evidence from this research indicates that online syllabus citations are
useful sources of evidence about educational value...”
Kousha, K. & Thelwall, M.(2008) "Assessing the impact of disciplinary research on teaching: An automatic analysis of online
syllabuses." Journal of the American Society for Information Science and Technology 59(13): p. 2067.
10. Other sources
Counting of URLs
Journal clubs
Public and university library holdings
Cites in academic presentations
Reference management system
Dissertation and Thesis Citation Measurement
12. Blending approaches
Data gathered in previous research studies chiefly focused on benefit to
researchers - recast techniques to help expressing educational impact
Open, not weighted and informational
Quantitative for use in qualitative assessments.
this information has to be used collectively in order to make a useful assessment of the
different ways in which a scholarly output is being used.
The benefits:
Credit for the creation of more educationally focussed outputs
Global awareness of usage of scholarly outputs in education
Support creating syllabi - and the post graduate teaching community
13. In conclusion
Our thinking aims to devise a quantitative measure of educational impact: a
count of when and how scholarly outputs are used in teaching and learning to
better represent and promote these valuable resources.