Keynote delivered by George Siemens (@gsiemens), Dragan Gasevic (@dgasevic), and Ryan Baker (@BakerEDMLab) at the 8th International Educational Data Mining Conference (EDM 2015) in Madrid, Spain on June 27, 2015
Educational data mining and learning analytics have to date largely focused on specific research questions that provide insight into granular interactions. These insights have bee abstracted to include the development of predictive models, intelligent tutors, and adaptive learning. While there are several domains where holistic or systems models have provided additional explanatory power, work around learning has not created holistic models with the level of concreteness or richness required. The need for both granular and integrated high-level view of learning is further influenced by distributed, life long, multi-spaced learning that today defines education. Drawing on social and knowledge graph theory, we propose the development of a Personal Learning Graph (PLeG) - an open and learner-owned profile that addresses cognitive, affective, and related elements that reflect what a learner knows, is able to do, and processes through which she learns best. This talk will introduce PLeG, detail required technical infrastructure, and articulate how it would interact with established learning software.
Everything I have learnt about eLearningPoh-Sun Goh
A summary of key ideas and useful tips for applying eLearning in medical education.
See also update on 7 April 2020 at
https://www.slideshare.net/dnrgohps/everything-i-have-learnt-about-elearning-updated-7-april-2020
and
https://www.slideshare.net/dnrgohps/implementation-of-technology-enhanced-learning-including-vr-ar-and-ai-in-medical-education-some-questions-to-ask
SlideDeck for presentation as part of MEU lunchtime symposium, Dec 10, 2013; Symposium room 2 and 3, Clinical Research Centre (CRC), Block MD 11, 10 Medical Drive, Yong Loo Lin School of Medicine, National University of Singapore
Discover strategies to increase student engagement in your courses and learn how to use Brightspace tools and college services to aid in student retention.
Everything I have learnt about eLearningPoh-Sun Goh
A summary of key ideas and useful tips for applying eLearning in medical education.
See also update on 7 April 2020 at
https://www.slideshare.net/dnrgohps/everything-i-have-learnt-about-elearning-updated-7-april-2020
and
https://www.slideshare.net/dnrgohps/implementation-of-technology-enhanced-learning-including-vr-ar-and-ai-in-medical-education-some-questions-to-ask
SlideDeck for presentation as part of MEU lunchtime symposium, Dec 10, 2013; Symposium room 2 and 3, Clinical Research Centre (CRC), Block MD 11, 10 Medical Drive, Yong Loo Lin School of Medicine, National University of Singapore
Discover strategies to increase student engagement in your courses and learn how to use Brightspace tools and college services to aid in student retention.
Inclusive learning design for Online LearnersRichardM_Walker
This talk reflects on the key lessons learned from the University of York’s teaching experience during the pandemic, addressing flexible design and delivery of teaching to support the needs of a fragmented student, located on campus and off site / overseas across different time zones.
It recounts how we have refreshed our inclusive learning strategies in the light of the pivot to online learning delivery.
Peer Evaluation as a Learning & Assessment Strategy: Enhancing Student Engage...BCcampus
Ranga Venkatachary, Program Director, Centre for Online and Distance Education, Simon Fraser University
Festival of Learning in Burnaby, B.C. - June 6-9, 2016
Supporting High Impact Practices with portfolio-based learning Alison PootePortfolios Australia
"Born out of a recognition that today’s graduates need to be responsible global citizens, aware of and respectful of other cultures, and equipped to respond to the challenges the future holds, High-Impact Practices (HIPs) offer a structure to help educators create learning cultures designed to develop the whole person and nurture graduates who are genuinely future-ready. HIPs were first proposed by George Kuh (2008) and his research suggests that when done well, they can enhance student success, retention and engagement. This presentation will introduce the eleven HIPs, the elements essential to making practice meaningful and high-impact, and the central role that portfolios can play in supporting these practices. A number of international examples of portfolio practice will be showcased to demonstrate this theory in action.
Kuh, G. D. (2008). High-impact educational practices: What they are, who has access to them, and why they matter. Washington, DC: Association of American Colleges and Universities.
"
The Evidence Hub: Harnessing the Collective Intelligence of Communities to Bu...Anna De Liddo
Presentation to the Large-Scale Idea Management and Deliberation Systems Workshop @
6th International Conference on Communities and Technologies C&T2013
June 29,2013
Munich, Germany
Inclusive learning design for Online LearnersRichardM_Walker
This talk reflects on the key lessons learned from the University of York’s teaching experience during the pandemic, addressing flexible design and delivery of teaching to support the needs of a fragmented student, located on campus and off site / overseas across different time zones.
It recounts how we have refreshed our inclusive learning strategies in the light of the pivot to online learning delivery.
Peer Evaluation as a Learning & Assessment Strategy: Enhancing Student Engage...BCcampus
Ranga Venkatachary, Program Director, Centre for Online and Distance Education, Simon Fraser University
Festival of Learning in Burnaby, B.C. - June 6-9, 2016
Supporting High Impact Practices with portfolio-based learning Alison PootePortfolios Australia
"Born out of a recognition that today’s graduates need to be responsible global citizens, aware of and respectful of other cultures, and equipped to respond to the challenges the future holds, High-Impact Practices (HIPs) offer a structure to help educators create learning cultures designed to develop the whole person and nurture graduates who are genuinely future-ready. HIPs were first proposed by George Kuh (2008) and his research suggests that when done well, they can enhance student success, retention and engagement. This presentation will introduce the eleven HIPs, the elements essential to making practice meaningful and high-impact, and the central role that portfolios can play in supporting these practices. A number of international examples of portfolio practice will be showcased to demonstrate this theory in action.
Kuh, G. D. (2008). High-impact educational practices: What they are, who has access to them, and why they matter. Washington, DC: Association of American Colleges and Universities.
"
The Evidence Hub: Harnessing the Collective Intelligence of Communities to Bu...Anna De Liddo
Presentation to the Large-Scale Idea Management and Deliberation Systems Workshop @
6th International Conference on Communities and Technologies C&T2013
June 29,2013
Munich, Germany
Dcla13 discourse, computation and context – sociocultural dclaSimon Knight
My DCLA13 talk at LAK13 in Leuven. The images should all be CC licensed with links provided in the speaker notes on the slides.
I'd recommend looking at the other slides from this session (see http://www.solaresearch.org/events/lak/lak13/dcla13/ ) particularly those on context - this presentation provides a theoretical perspective on context, which some of the other presentations were showing really interesting examples of in empirical (and well theorised) work.
The Value of Competency-based Medical Education Across the ContinuumMedCouncilCan
"The Value of Competency-based Medical Education Across the Continuum." Workshop presented by Dr. Eric S. Holmboe at Memorial University's Faculty of Medicine.
An introduction to Competency-based education and the new student demographic. Discover today's modern student and the education system designed to fit them. http://bit.ly/1hU8ntv
XIP Dashboard: Visual Analytics from Automated Rhetorical Parsing of Scient...Simon Buckingham Shum
XIP Dashboard: Visual Analytics from Automated Rhetorical Parsing of Scientific Metadiscourse
ABSTRACT
A key competency that we seek to build in learners is a critical mind, i.e. ability to engage with the ideas in the literature, and to identify when significant claims are being made in articles. The ability to decode such moves in texts is essential, as is the ability to make such moves in one’s own writing. Computational techniques for extracting them are becoming available, using Natural Language Processing (NLP) tuned to recognize the rhetorical signals that authors use when making a significant scholarly move. After reviewing related NLP work, we introduce the Xerox Incremental Parser (XIP), note previous work to render its output, and then motivate the design of the XIP Dashboard, a set of visual analytics modules built on XIP output, using the LAK/EDM open dataset as a test corpus. We report preliminary user reactions to a paper prototype of such a novel dashboard, describe the visualizations implemented to date, and present user scenarios for learners, educators and researchers. We conclude with a summary of ongoing design refinements, potential platform integrations, and questions that need to be investigated through end-user evaluations.
Online Course Design for Active Learning within the UDL FrameworkSandra Annette Rogers
2019 Keynote presentation to the faculty and staff at the University of Houston for their Innovative Teaching and Learning at a Distance (ITLD) Conference
Presentation that was given at the TESOL Arabia Mobile Learning Conference entitled ""M-Learning in Context :Localizing a Global Trend" 28 November 2015
at Emirates Aviation College, Dubai, United Arab Emirates. Focused on the use of a "learning community" model to help realise successful integration of mobile learning strategies across the English Writing Services Department of the University College (General Education program) at Zayed University, United Arab Emirates.
Theoretical and Empirical Foundations of Connected Learning at Virginia Commo...Laura Gogia
Presentation given for VCU School of Social Work on January 20, 2016 on the approach to connected learning promoted by VCU Academic Learning Transformation Lab
Overview of C-SAP open educational resources projectCSAPOER
This presentation showcases, discusses and reflects upon the work of the C-SAP "Open Educational Resources" project. Our project, "Evaluating the Practice of Opening up Resources for Learning and Teaching in the Social Sciences", was part of a pilot programme (funded by the HEA and JISC), which sought to explore issues around the sharing of educational material from a disciplinary perspective. Whilst exploring, with our academic project partners, the principles and issues around releasing educational material (institutional, contractual, administrative), we have also sought to develop some insights into the processes of sharing practice, and look forward to discussing the findings in this forum.
The Emergent Learning Model takes the Open Context Model of Learning and organisational Architectures of PArticipation further and looks at how we might join up all modes of learning. Using the Bologna Process and EU i2015 & i2020 targets it rethinks the role of people and social processes, content and contexts as well as the roles of institutions and accreditation
Slides from Keynote presentation at the University of Southern California's 2015 Teaching with Technology annual conference.
"9:15 am – ANN Auditorium
Key Note: What Do We Mean by Learning Analytics?
Leah Macfadyen, Director for Evaluation and Learning Analytics, University of British Columbia
Executive Board, SoLAR (Society for Learning Analytics Research)
Leah Macfadyen will define and explore the emerging and interdisciplinary field of learning analytics in the context of quantified and personalized learning. Leah will use actual examples and case studies to illustrate the range of stakeholders learning analytics may serve, the diverse array of questions they may be used to address, and the potential impact of learning analytics in higher education."
Presentations, Day 1, by Tanya Joosten and Amy Mangrich on Blended Learning for the 1st Annual eLearning Conference in Riyadh, Saudi Arabia. Topics include backwards design, developing a learning module, managing your workload, managing student's expectations, evaluation, small groups, and more. Course demonstrations included as well.
SNS messages Recommendation for Learning Motivation (AIED 2015)Sebastien Louvigne
Setting goals for learning enhances motivation and performance. This research shows that observing learning goals from peers on social networks allows learners to specify new learning purposes and to enhance the perception of their own expertise. This study consists of: 1) a model recommending goal-based messages from peers with diverse textual contents (i.e. purpose) for a same goal (e.g. mastering English), and 2) a Web-based implementation using an LDA (Latent Dirichlet Allocation) model, known as a highly accurate text latent topic model. The experiment was conducted by university students who expressed and evaluated their goals before observing similar/diverse messages from other peers. Results showed that observing the diversity of peers’ learning purposes is an important factor positively affecting intrinsic motivational attributes such as goal specificity and confidence to achieve the goal.
Keywords:
Learning Analytics -Towards a New Discipline-Dragan Gasevic
The talk, motivated by the present state of learning and education, identifies a need for a systematic change of the present preactice. Learning analytics is identified as a possible way to good to address this open challenge. Some connections with evidence-based medicine are drawn. Finally, learning analytics is defined as well as some open research challenges.
E-Portfolios and the Problem of Learning in the Post-Course Era by Randy Bass, Center for New Designs in Learning and Scholarship (CNDLS), Georgetown University
General Education 3.0 (AAC&U)
March 4, 2011
Nurturing the Connections: The Role of Quantitative Ethnography in Learning A...Dragan Gasevic
This talk will explore connections between two emerging fields focused on harnessing the potential of data – learning analytics and quantitative ethnography. Learning analytics is focused on the analysis of data collected from user interactions with technology with the goal of advancing our understanding of and enhancing human learning. Despite some early success stories and widespread interest, producing meaningful and actionable results is still a top open research challenge for learning analytics. The talk will first explore how quantitative ethnography can offer promising approaches that can address this open challenge in learning analytics. The talk will next discuss how progress in learning analytics can be used to accelerate the development of the field of quantitative ethnography. The talk will finally outline promising directions for future research at the intersection of learning analytics and quantitative ethnography.
Can learning analytics offer meaningful assessment? Dragan Gasevic
The emergence of learning analytics afforded for the analysis of digital traces of user interaction with technology. This analysis offers many opportunities to advance understanding and enhance learning and the environments in which learning occurs. Existing research has shown how learning analytics can provide contributions to different areas of education such as prediction of student success, uncovering learning strategies, understanding affective states, and unpacking the role social networks in learning. While these results have shown much promise, one critical challenge remains unclear – how learning analytics can help track learning progression and inform assessment especially from the perspective of the 21st century skills. This talk will explore opportunities and challenges for the integration of methods commonly used in learning analytics to analyze different digital traces with methods commonly used in assessment. The talk particularly focuses on open learning environments where analytics-based assessment is rather underexplored in contrast to assessment in specialized (intelligent tutoring) systems where the combined use of data mining and assessment has been established for some time now.
Towards Strengthening Links between Learning Analytics and AssessmentDragan Gasevic
. The emergence of learning analytics afforded for the analysis of digital traces of user interaction with technology. This analysis offers many opportunities to advance understanding and enhance learning and the environments in which learning occurs. Existing research has shown how learning analytics can provide contributions to different areas of education such as prediction of student success, uncovering learning strategies, understanding affective states, and unpacking the role social networks in learning. While these results have shown much promise, one critical challenge remains unclear – how learning analytics can help track learning progression and inform assessment especially from the perspective of the 21st century skills. This talk will explore opportunities and challenges for the integration of methods commonly used in learning analytics to analyze different digital traces with methods commonly used in assessment and psychometric research. The paper particularly focuses on open learning environments where analytics-based assessment is rather underexplored in contrast to assessment in specialized (intelligent tutoring) systems where the combined use of data mining and psychometric techniques has been established for some time now.
Let’s get there! Towards policy for adoption of learning analyticsDragan Gasevic
The field learning analytics is established with the promise for the education sector to embrace the use of data for decision making. There are many examples of successful use of learning analytics to enhance student experience, increase learning outcomes, and optimize learning environments. Despite much interest in learning analytics, many higher education institutions are still looking for effective ways that can enable systemic uptake. The talk will first describe some selected examples of the successful use of learning analytics in higher education. Key challenges identified to affect implementation of learning analytics will then be discussed. This will be followed with an overview of an approach to the development of institutional policy and strategy for the learning analytics implementation in higher education. The talk will be based on the findings of several international studies and will critically interrogate the role of institutional and cultural differences.
State and Directions of Learning Analytics Adoption (Second edition)Dragan Gasevic
The analysis of data collected from user interactions with educational and information technology has attracted much attention as a promising approach for advancing our understanding of the learning process. This promise motivated the emergence of the new field learning analytics and mobilized the education sector to embrace the use of data for decision-making. This talk will first introduce the field of learning analytics and touch on lessons learned from some well-known case studies. The talk will then identify critical challenges that require immediate attention in order for learning analytics to make a sustainable impact on learning, teaching, and decision making. The talk will conclude by discussing a set of milestones selected as critical for the maturation of the field of learning analytics. The most important take away from the talk will be that
- systemic approaches to the development and adoption of learning analytics are critical,
- multidisciplinary teams are necessary to unlock a full potential of learning analytics, and
- capacity development at institutional levels through the inclusion of diverse stakeholders is essential for full learning analytics adoption.
This is the second edition of the talk that previously gave under the same title on several occasions. The second edition reflects many developments happened in the field of learning analytics, especially those in the following two projects - http://he-analytics.com and http://sheilaproject.eu.
Learning with me Mate: Analytics of Social Networks in Higher EducationDragan Gasevic
Effects of social interactions are reported in research on higher education to lead to positive outcomes such as higher levels of internalization, sense of community, academic achievement, metacognition, and student retention. The role of social networks has especially been emphasized in research due to the availability of theoretical foundations and analytic methods to investigate their effects in higher education. The increased use of technologies in education allows for the collection of large and rich datasets about social networks which call for the use of novel analytics methods. This talk will first give a brief overview of the existing work on and lessons learned from some well-known studies on social networks in higher education in diverse situations from face-to-face to massive open online courses. The talk will then identify critical challenges that require immediate attention in order for the study of social networks to make a sustainable impact on learning and teaching. The most important take away from the talk will be that
- computational aspects of the study of social networks need to be integrated deeply with theory, research and practice,
- novel methods for the study of critical dimensions (discourse, structure and dynamics) that shape network formation and network effects are necessary, and
- innovative instructional approaches are essential to address the changing conditions created by contemporary educational and technological contexts.
Technologies to support self-directed learning through social interactionDragan Gasevic
This talk will describe underlying principles, design, and experience gained with ProSolo, a platform that supports personalized, competency-based learning through social interaction. Traditional educational models are primarily focused on classroom education and training typically associated with the notion of credit hours as the (only) route towards formal credentials. This limits opportunities for creating personalized learning pathways in the changing educational context. ProSolo provide users with the ability to unbundle education programs, courses, and units into discrete yet inter-related competencies, allowing learners to construct their education pathway in a manner that better reflects their interests and future career motivations and requirements. ProSolo is developed with the intention of providing learners with opportunities to customize, modify, and personalize their self-directed learning journey. ProSolo supports the development of skills for self-directed learning by allowing learners to control the planning, learning, and presentation of outcomes associated with their learning. To support learners with different levels of prior knowledge, study skills, and cultural backgrounds, ProSolo offers features for supporting self-directed learning through three types of scaffolds, including instructional, social, and technological. Learning in ProSolo occurs within a socially rich environment that aggregates learners’ information created and shared in their existing online spaces. ProSolo makes use of learning analytics to empower learners and instructors in this new model of education. ProSolo was used in the Data, Learning, and Analytics MOOC and is currently being piloted at several university sites.
Learning analytics: An opportunity for higher education?Dragan Gasevic
Slides used in my keynote at the Annual Conference of the European Association of Distance Teaching Universities - The open, online, flexible higher education conference - #OOFHEC2015
Learning analytics are more than measurementDragan Gasevic
Slides used for the keynote
Learning analytics are more than measurement
at
Policies for Educational Data Mining and Learning Analytics Briefing
organized by http://www.laceproject.eu/
Social network analysis and understanding of massive open online coursesDragan Gasevic
This presentation is prepared for DALMOOC and talks about the use of social network analysis for understanding distributed pedagogies in massive open online courses (MOOCs). The presentation is based on
Skrypnyk, O., Joksimović, S. Kovanović, V., Gasevic, D., Dawson, S. (2014). Roles of course facilitators, learners, and technology in the flow of information of a cMOOC. British Journal of Educational Technology (submitted), http://www.sfu.ca/~dgasevic/papers_shared/bjet2014_cmoocs.pdf.
Social network analysis and social presenceDragan Gasevic
This presentation is prepared for DALMOOC and talks about the use of social network analysis for the development of social capital based on social presence in communities of inquiry The presentation is based on
Kovanović, V., Joksimović, S., Gašević, D., Hatala, M., “What is the source of social capital? The association between social network position and social presence in communities of inquiry,” In Proceedings of 7th International Conference on Educational Data Mining – Workshops, London, UK, 2014, http://ceur-ws.org/Vol-1183/gedm_paper03.pdf
Social network analysis and learning designDragan Gasevic
This presentation is prepared for DALMOOC and talks about the use of social network analysis for improvement of learning design. The presentation is based on
Lockyer, L., Heathcote, E., & Dawson, S. (2013). Informing pedagogical action: Aligning learning analytics with learning design. American Behavioral Scientist, 57(10), 1439-1459, doi:10.1177/0002764213479367
Social network analysis and creative potentialDragan Gasevic
This presentation is prepared for DALMOOC and talks about the use of social network analysis for understanding of creative potential. The presentation is based on
Dawson, S., Tan, J. P. L., & McWilliam, E. (2011). Measuring creative potential: Using social network analysis to monitor a learners' creative capacity. Australasian Journal of Educational Technology, 27(6), 924-942.
Social network analysis and academic performanceDragan Gasevic
This presentation is prepared for DALMOOC and talks about the use of social network analysis for understanding and prediction of academic performance. The presentation is based on
Gašević, D., Zouaq, A., Jenzen, R. (2013) 'Choose your Classmates, your GPA is at Stake!' The Association of Cross-Class Social Ties and Academic Performance. American Behavioral Scientist, 57(10), 1459-1478, http://www.sfu.ca/~dgasevic/papers_shared/abs2013.pdf
Network modularity and community identificationDragan Gasevic
The presentation describes the notion of network modularity as a method used for identification of communities in social network analysis. The presentation is prepared by Dragan Gasevic for DALMOOC.
Network measures used in social network analysis Dragan Gasevic
Definition of measures (diameter, density, degree centrality, in-degree centrality, out-degree centrality, betweenness centrality, closeness centrality) used in social network analysis. The presentation is prepared by Dragan Gasevic for DALMOOC.
The Roman Empire A Historical Colossus.pdfkaushalkr1407
The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
The Roman Empire’s society was hierarchical, with a rigid class system. At the top were the patricians, wealthy elites who held significant political power. Below them were the plebeians, free citizens with limited political influence, and the vast numbers of slaves who formed the backbone of the economy. The family unit was central, governed by the paterfamilias, the male head who held absolute authority.
Culturally, the Romans were eclectic, absorbing and adapting elements from the civilizations they encountered, particularly the Greeks. Roman art, literature, and philosophy reflected this synthesis, creating a rich cultural tapestry. Latin, the Roman language, became the lingua franca of the Western world, influencing numerous modern languages.
Roman architecture and engineering achievements were monumental. They perfected the arch, vault, and dome, constructing enduring structures like the Colosseum, Pantheon, and aqueducts. These engineering marvels not only showcased Roman ingenuity but also served practical purposes, from public entertainment to water supply.
Embracing GenAI - A Strategic ImperativePeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Palestine last event orientationfvgnh .pptxRaedMohamed3
An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
This presentation provides a briefing on how to upload submissions and documents in Google Classroom. It was prepared as part of an orientation for new Sainik School in-service teacher trainees. As a training officer, my goal is to ensure that you are comfortable and proficient with this essential tool for managing assignments and fostering student engagement.
Biological screening of herbal drugs: Introduction and Need for
Phyto-Pharmacological Screening, New Strategies for evaluating
Natural Products, In vitro evaluation techniques for Antioxidants, Antimicrobial and Anticancer drugs. In vivo evaluation techniques
for Anti-inflammatory, Antiulcer, Anticancer, Wound healing, Antidiabetic, Hepatoprotective, Cardio protective, Diuretics and
Antifertility, Toxicity studies as per OECD guidelines
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
1. PERSONAL LEARNING GRAPHS
(PLeG)
George Siemens
Dragan Gasevic
Ryan Baker
Presented to:
International Educational Data Mining Conference
Madrid
June 27, 2015
3. Personalized learning models
Keller Plan (Personalized System of Instruction)
Static learner profile (old school)
Objective based (adaptivecourseware)
Intelligent tutors (CMU OLI, cognitive tutor,
ALEKS)
Personalized (outer-loop, i.e. Knewton)
Smart Sparrow (teacher at center)
5. Introducing PLG
Learner owned
API-like interface to systems that need
information
Related to existing work:
eportfolios
Personal learning networks
Existing toolsets (Learning Locker)
12. Student profiles
Diversifying
(OECD)
Less than 50% now full time
(US Census Bureau)
http://www.oecd.org/edu/skills-beyond-school/EDIF%202013--
N%C2%B015.pdf
http://www.census.gov/prod/2013pubs/acsbr11-14.pdf
13. Complexification of higher education
Learning needs are complex, ongoing
Simple singular narrative won’t suffice going
forward
The idea of the university (and learning) is
expanding and diversifying
15. Granularization of assessment
Cracking the credit hour
(New America Foundation)
Badges
(Mozilla & others)
http://newamerica.net/publications/policy/cracking_the_credit_hour
http://openbadges.org/
16. Something is needed that expands the
idea of a “course” and moves control
of learning experience/data from the
institution to the learner
21. What will PLeG enable?
Career transitions
Full spectrum of learning (hobby, work, formal,
personal)
Integrated & immersive learning
Foundation for personalized/adaptive learning
29. Capturing traces of SRL
Macro-Level SRL
Process
Micro-Level SRL Process Description Example SRL Event
Planning
Task Analysis
To become familiar with the learning
context and the definition and
requirements of a (learning) task at hand
Clicking on different competences under
duties or projects related to the user
Goal Setting
To explicitly set, define or update learning
goals
Drag and dropping an available
competence to a new or an existing
learning goal
Making Personal Plans
To create plans and select strategies for
achieving a set learning goal
Choosing an available learning path as the
path for a competence
Engagement
Working on the Task
To consistently engage with a learning task
and using tactics and strategies
Request collaboration for a competence,
learning path or learning activity
Applying appropriate
Strategy Changes
To revise learning strategies, or apply
change in tactics
Adding a new activity to an existing learning
path
Evaluation &
Reflection
Evaluation
Evaluating one’s learning process and
comparing one’s work with the others
Rating a learning path, learning activity or
knowledge asset
Reflection
Reflecting on individual learning and
sharing learning experiences
Adding a comment for a competence,
learning path or learning activity
Siadaty, M., Gasevic, D., Hatala, M., Winne, P. H. (2015). Trace-based Micro-analytic Measurement of Self-
Regulated Learning Processes. Submitted to the Journal of Learning Analytics.
30. Siadaty, M., Gasevic, D., Hatala, M., Winne, P. H. (2015). Trace-based Micro-analytic Measurement of Self-
Regulated Learning Processes. Submitted to the Journal of Learning Analytics.
31. Siadaty, M., Gasevic, D., Hatala, M., Winne, P. H. (2015). Trace-based Micro-analytic Measurement of Self-
Regulated Learning Processes. Submitted to the Journal of Learning Analytics.
34. Orchestration graphs
Process modeling and process mining (discovery,
compliance checking, and improvement)
Dillenbourg, P. (2015). Orchestration graphs. Lausanne, Switzerland: EPFL Press / Routledge
35. Information structure of content
Information extraction techniques such as topic
modeling (LDA) or name entity extraction
36. Connectivism as a
learning theory
Networked learning
Educational
technology
- Connectivism,
- Social media,
- Emergence,
- …
- E-learning,
- Complex
adaptive system,
- edtech,
- …
- Social network,
- Networked
learning,
- Social group,
- …
Connectivism in practice
- Collaboration,
- Knowledge,
- Thought,
- …
Joksimović, S., Kovanović, V., Jovanović, J., Zouaq, A., Gašević, D., Hatala, M. (2015). What do cMOOC participants talk
about in Social Media? A Topic Analysis of Discourse in a cMOOC," In Proceedings of the 5th International Conference
on Learning Analytics & Knowledge (LAK 2015), Poughkeepsie, NY, USA (pp. 156-165).
Topic extraction
37. Readings and Discourse Similarity
Joksimović, S., Kovanović, V., Jovanović, J., Zouaq, A., Gašević, D., Hatala, M. (2015). What do cMOOC participants talk
about in Social Media? A Topic Analysis of Discourse in a cMOOC," In Proceedings of the 5th International Conference
on Learning Analytics & Knowledge (LAK 2015), Poughkeepsie, NY, USA (pp. 156-165).
43. Promising development
Trace data based measures of
the crowd-sourced learning skill
E.g., Dreyfus model of skill acquisition
Milligan, S. (2015). Crowd-sourced learning in MOOCs: learning analytics meets measurement theory. In Proceedings
of the Fifth International Conference on Learning Analytics And Knowledge (pp. 151-155). ACM.
44. Progressions can build upon
• Models that represent prerequisite structure
and connections in knowledge
• Such as Partial Order Knowledge Spaces
(Desmarais & Pu, 2005)
45. Engagement in the PLeG
• Behavioral Engagement
• Affective Engagement
48. Engagement predicts long-term
participation
Engagement during middle school math predicts
– College attendance (San Pedro et al., 2013)
– College selectivity (San Pedro et al., in
preparation)
– College major (San Pedro et al., 2014, 2015)
50. Community Factors Matter
Communities form during MOOCs like this one
(Brown et al., 2015)
Future work – study how these communities
persist into the future
(early evidence from CCK08 MOOC)
51. Use PLeG to
• Track what aspects of student engagement are
enduring
• As opposed to just pertaining to a specific
system or learning domain
52. Use PLeG to
• Determine when students are disengaged
• And track them to activities that can re-
engage them
53. Use PLeG to
• Find what does motivate a student
• And personalize less motivating content to
connect it to what motivates the student (cf.
Walkington & Bernacki, 2014; Walkington et
al., 2014)
54. Use PLeG to
• Figure out student long-term trajectories and
inform instructors and guidance counselors
55. Challenges
• Linking engagement models from different
learning systems to each other
– Models of different constructs
– Models with different reliabilities
– More and less aggressive models
• Figuring out how to decay engagement data
over time, and where it does and doesn’t
apply
57. We know…
• Scientific inquiry skills transfer across domains
(Sao Pedro et al., 2012)
– Essential if we are dealing with complex and multi-
disciplinary problems
• SRL skill that a student develops can be enduring
across a semester (Roll et al., 2011)
• These processes and strategies support the
development of cognition
– Can also support social skills, and affect and
engagement regulation skills
58. But…
• To what degree does SRL process skills in one learning
environment transfer to other environments?
• Are the same strategies and processes positive across
different learning environments?
– What behaviors are beneficial across learning
environments?
• Are the same strategies and processes effective for
different cultures and populations?
– Soriano et al. (2013) has found evidence that this is not the
case
59. Conclusion
Expansion of learning (for so-called knowledge age)
requires expansion techniques and methods for
learning
Learning controlled, owned
Personalized learning – by starting with learners
driving their learning
Resonance & activating latency
Labour market & related impact (rethinking “the
course”)
Need YOUR/EDM algorithmic and related expertise
So what makes the type of courseware special? Well, we think that it teaches students that science is not just mastery of what is already known, but an exploration of the unknown. We actually believe that this is what learning itself is all about.
The courseware is also centred around compelling questions that motivate students, such as, are we alone in the universe? There are challenging problems that contextualise the learning. They are authentic problems that real scientists are working on right now at the frontier of human knowledge.
The courseware also gets students to appreciate the solutions to real problems in science do not fit into tidy disciplinary bins. The courseware has a transdisciplinary approach whilst mapping closely to introductory science courses, and the learning objectives faculty are used to teaching.
And as a community, we are building what we call Smart Courses: streams of enquiry, centred around a Big Question (for example, Are We Alone?), which map to introductory science courses in physics, chemistry, and biology. We currently have the existing gen-ed science course Habitable Worlds that I mentioned, and will have the biology course (or Stream) completed this year. The first set of courses will be framed around this astrobiology theme and next year we will do it all again with a biomedical theme and the Big Question: can we survive the next epidemic?
Novice, advanced beginner, competent, proficient, and expert