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Learning Analytics and Sensemaking in Digital Learning Ecosystems - Examples from higher education and the workplace
- 1. http://Learning-Layers-euhttp://Learning-Layers-eu Learning Layers Scaling up Technologies for Informal Learning in SME Clusters Learning Analytics and Sensemaking in Digital Learning Ecosystems Examples from higher education and the workplace Tobias Ley, Center for Educational Technology,Tallinn University
- 2. http://Learning-Layers-eu Digital Learning Environments 2 Villemard, 1910: À l' École, Bibliotèque national de France http://expositions.bnf.fr/utopie/grand/3_95b1.htm
- 3. http://Learning-Layers-eu Some trends in distributed Learning Environments • Use of social media and social software in education and at the workplace • Open Educational Resources • A drive towards Personal Learning Environment • New pedagogical trends: Self-directed learning, learning as knowledge building • Lifelong Learning and Professional Development • MOOCS and other modes of scaling learning 3
- 4. http://Learning-Layers-eu Dialectics of TEL system evolution • THESIS: mainstream TEL systems today are LMS (e.g. Moodle) • ANTITHESIS: innovators among academic staff are radically opposing LMS and propose using PLE and social media instead • SYNTHESIS: new quality, taking the best from both worlds. Digital Learning Ecosystem? IVA LMS Blog-based PLE Dippler DLE ! Pedagogy-driven design User-centered design 1.1 Initial ped. framework 1.2. Participatory design 1.3. Evaluation 2.1. Experimenting with blogs 2.2. Participatory design 2.3. Case studies 3.1. Participatory design 3.2. Updated ped. framework 3.3. Participatory action research 3.4. Generic ped. model for DLE
- 5. http://Learning-Layers-eu Digital Learning Ecosystem DLE is an adaptive socio-technical system consisting of mutually interacting digital agents (tools, services, content used in learning process) and communities of users (learners, facilitators, trainers, developers) together with their social, economical and cultural environment. 5
- 6. http://Learning-Layers-eu Some Examples • Higher Education: From blog-based courses to digital learning ecosystems • Higher Education: Managing the MOOCS Ecosystem • Scaling Informal Learning at the Workplace 6
- 7. http://Learning-Layers-eu EDUFEEDR, LEPRESS & DIPPLER Higher Education: From blog-based courses to digital learning ecosystems 7
- 8. http://Learning-Layers-eu Open and Personal Blog-based Courses • Students use Weblogs as Personal Learning Environments • Courses are temporal configurations of learning settings • Tools offer coordination, awareness and management functionalities 8 Course Blogs Student Blogs Content Assignments Feedack Analytics EduFeedr LePress DIPPLER
- 11. http://Learning-Layers-eu LePress Classbook – Teacher’s View
- 12. http://Learning-Layers-eu DIPPLER: Prototype of a Digital Learning Ecosystem Social media Blog Profile Courses Activities RSS Users Analytics Courses Widgets Institutional BOS Middleware: BackOffice Service Cloud Storage HTTP WS Types of tasks: Post Structured post Artefact (file) Discussion Self-test Test Group task Offline task All courses Featured My courses Course page Summary Course info Outcomes Announcem. Participants Groups Resources Tasks Settings Categories Learner's Wordpress with Dippler plugin Dippler: institutional client, teacher's tool IOS app: mobile client
- 13. http://Learning-Layers-eu Connecting… • Competences with learning outcomes • Learning outcomes with assignments • Assignments with learning resources
- 14. http://Learning-Layers-eu EMMA Higher Education: Managing the MOOCS Ecosystem 14
- 15. http://Learning-Layers-eu EMMA Learning Analytics • For learners: – Support personalization and support the achievement of learning goals through: • personalized feedback to individual learners • new learning paths recommendations • reflection opportunities to assist in monitoring learning and achievement • For MOOC providers/ instructors – Offers prediction functionalities to give feedback in order to enhance/improve their course design considering traced learning experiences
- 18. http://Learning-Layers-eu LEARNING LAYERS Scaling Informal Learning at the Workplace 18
- 19. http://Learning-Layers-eu The Dilemma of Informal Learning at the Workplace How do people learn at the workplace? • Ask colleagues, search for help, try things out, learn from experience • Learning is informal, connected to work practices, multi-episodic, just- in time [Hart 2011, Kooken 2009] How do learning technologies look like? • follow traditional training models • based on direct classroom instruction and courses transfered to the screen [Kraiger 2008] highly effective individualized contextualized motivating does not scale not persistent few benefit expensive
- 21. http://Learning-Layers-eu Straw Building How To X3-PVQX3-PJC X3-POZ PLC Equipment One possible Construction Scenario Explaining the use of a new construction technique and materials on site Making video material available on site through QR tagsUse of video recording and annotation Further questions on the use of the technique connected to site Material, questions and best practices collected and discussed Collection transformed into instructional material to enhance traditional training
- 22. http://Learning-Layers-eu Deployment & Sustainability Scaling in Regional Clusters Architecture & Integration Layer Integration through Common Infrastructure Workplace Learning Layer Integration through Workplace Learning Practices Scaling Informal Learning: Project Architecture 22 Interaction Layers: An Ecosystem of Tools Social Semantic Layer Integration through Shared Meaning Interacting with Physical Objects Interacting with People Interacting with Digital Materials Straw Building How To X3-PVQX3-PJC X3-POZ PLC Equipment
- 23. http://Learning-Layers-eu ACHSO! Mobile Social Learning on the Construction Site 23
- 24. http://Learning-Layers-eu AchSo! Mobile Learning on the Construction Site 24 Video: http://vimeo.com/84383004 Software: http://developer.learning-layers.eu/tools/ach-so/
- 25. http://Learning-Layers-eu MAKING SENSE OF BITS AND PIECES Sensemaking in the Healthcare domain 25
- 26. http://Learning-Layers-eu Design Idea 26 more busy time more flexible working time Evernote AchSo! KnowBrain B&P
- 27. http://Learning-Layers-eu Bits and Pieces - Sensemaking about Learning Experiences 27 Software: http://developer.learning-layers.eu/tools/bits-and-pieces/ Running Demo
- 28. http://Learning-Layers-eu THE SOCIAL SEMANTIC SERVER Integrating the Tool Ecosystem 28
- 29. http://Learning-Layers-eu Deployment & Sustainability Scaling in Regional Clusters Architecture & Integration Layer Integration through Common Infrastructure Workplace Learning Layer Integration through Workplace Learning Practices Scaling Informal Learning: Project Architecture 29 Interaction Layers: An Ecosystem of Tools Social Semantic Layer Integration through Shared Meaning Interacting with Physical Objects Interacting with People Interacting with Digital Materials Straw Building How To X3-PVQX3-PJC X3-POZ PLC Equipment
- 30. http://Learning-Layers-eu Who When Where What ... ... ... ... ... ... An Artefact Actor Network User Profile Resource Profile Topic Modeling Recommended Resource Each interaction increases the network ... ... and is tracked in the history Trust and Social Network Traces of the Network History Knowledge is built by people interacting with other people and artefacts New Information displayed to Support User Interactions Intelligent Services derive new information 1 2 3 4 5 Who When Where What ... ... ... ... ... ... Who When Where What ... ... ... ... ... ... Who When Where What ... ... ... ... ... ... Whom to ask? What to read and watch? Who are the experts? What do people talk about?What’s the quality?
- 31. http://Learning-Layers-eu Project Consortium Basiskarte: digitale-europakarte.de Project Coordination Learning Technology Research Regional Application Clusters Scaling Partners Technology Partners Health Care – Leeds Construction & Building – Bremen
- 32. http://Learning-Layers-eu DLEs introduce new opportunities ... • Social and informal processes play a bigger role in learning • Better opportunities for connecting formal and informal contexts of learning • Learning across institutional boundaries • Learning as knowledge creation, not as simple acquisition 32
- 33. http://Learning-Layers-eu ... but also new challenges! • How to make tools work together to allow for a meaningful learning experience? • How to help learners make sense of the multitude of content and experiences? • How to enable teachers and institutions to exhibit some control over the learning process? • How to make the educational system evidence- based? 33
- 34. http://Learning-Layers-eu Conclusions • Both tools and infrastructure are needed to make sense of the Digital Learning Ecosystem • Learning Analytics provide an opportunity to cope with the inherent complexity and make education more evidence-based • Great Opportunities for European Learning Technology SMEs – Strong focus on Open Source and Open Resources 34
- 35. http://Learning-Layers-eu Learning in the Digital Ecosystem 35 Tobias Ley Tallinn University Institute of Informatics tley@tlu.ee skype tobias_ley http://tobiasley.wordpress.com Learning Layers Project ICT EU-FP7, 12mEUR, 2012-2016 Web: http://learning-layers.eu Software: http://github.com/learning-layers
Editor's Notes
- EMMA – European Multiple MOOC Aggregator Operates in two main modes: as an aggregator and hosting system of courses produced by European universities; as a system that enables learners to construct their own learning pathways using units from MOOCs as building blocks