DATA CENTRIC EDUCATION & LEARNING
- 1. DATA CENTRIC EDUCATION & LEARNING Seung Won Yoon, Ph.D. hrdswon@gmail.com Instructional Design & Technology, Western Illinois University
- 2. Project & Case Examples Outline Technology in Education: Past Now and Future Design Frameworks 1 2 3 4
- 3. Assumptions Strategies first, then technologies. If great people/tool vs. bad culture/system, latter wins. Most technology integration has failed. Innovation adoption has been tough. Workshop or training to (big) data/analytics will always have minimal impacts. Learning and performance must be integrated.
- 4. Technologies in the Past Technologies in education Process: Instructional design, learning strategy, 4C/ID (for complex contents), learning environments, design based research, etc. Media: radio, TV, CBT, video, PC, multimedia, Web, virtual worlds, … now, analytics & network analysis (paradigm change? Anything new?) Education: Industry lowest in adopting technologies People will always focus more on new media Media vs. methods debate New technology has never replaced ‘old’
- 5. Present & Future NMC Horizon report Near: MOOC and Tablet computing Middle: Learning analytics & gaming Far: 3D printing & wearable technology A day made of glass by Amber Case, from Flick’r
- 6. What’s New about Data-centric Learning? Tablet, phone, devices connected to the cloud Real-time feedback (pacing) Adaptive contents (individualization) Instructional precision/effectiveness (previous knowledge) Analyzed and used to augment teacher/student capabilities Watters. A. (2011, July). How data and analytics will change education.
- 7. Data-centric Education & Learning LMS: grade, log, forum postings Student/institutional records Web 2.0/3.0 – digital trails Top 100 learning tools – more data Data sources (in addition to social media): PSLC’s learning datasets Carnegie Melon University Stanford’s multimodal learning analytics Stanford’s large network data collection Society for Learning Analytics Research datasets
- 9. Building Blocks Nodes, edges, density, centrality, community, motif Data: Affiliation matrix, edge list Sources: Social media Email/listserv/forum RDBM Open communities Tools NodeXL, Gephi…
- 10. Project & Case Examples Use of SNAPP (Moodle, BlackBoard, D2L, Angel) At risk students/non-participants Identify communities Identify brokers Before and after new strategy (e.g., each post vs. responding to instructor prompt) LATF at U of Michigan: Cross-course analysis - Time on tasks, frequency of contacts, network position, resource use, instructor reuse of contents, learning-reflecting assessments, contextual resources (privacy, security, governance) Bakharia, A., & Dawson, S. (2011). SNAPP: A bird’s eye view of temporal participant interaction
- 11. Examples cont’d Predictive analytics at American Public Universities 1 mil students, 5 mil courses, 16 schools
- 12. Examples cont’d Graduate Committee Network Shirley, K., & Bradley, K.D., (2009). Examining graduate faculty committee compositions.
- 13. Examples cont’d Citation Analysis Cho, Y. J. and colleagues. (2012). Landscape of educational technology. BJET.
- 14. Examples cont’d Leadership and programs Co-authorship & collaboration Interdisciplinary research
- 15. In the Workplace IBM’s Knowledge creation & sharing Encouraging strategic collaboration, before & after
- 16. Design Frameworks Learning must take place in the context of work or performing tasks.
- 17. Learning & Performance Architecture Rosenberg, M. (2006). Beyond E-Learning: Approaches and technologies to enhance organizational knowledge, learning, and performance. New York: Pfeiffer.
- 18. Strategic Blending Yoon, S. W., & Lim, D. H. (2007). Strategic blending: A conceptual framework to improve learning and performance. International Journal on E-Le Yoon, S. W., & Lim, D. H. (2007). Strategic blending: A conceptual framework to improve learning and performance. International Journal on E-Learning, 6(3), 475-489. Yoon, S. W., & Lim, D. H. (2010). Virtual learning and technologies for managing organizational competency and talents. Advances in Developing Human Resources, 12(6), 715-728.
- 19. HPT Model Van Tiem, D. M., Moseley, J. L. & Dessinger, J. C. (2012). Fundamentals of Performance Improvement: A guide to optimizing results through people, process, and organizations
- 20. Learning & Knowledge at Macro Level Figure 1. Esterby-Smith’s (2003) Key Topics of Learning in Organizations Song J.H., Uhm, D., Yoon, S. W. (2011). Organizational knowledge creation practice., LODJ.
- 21. Interactions & Others PBL, PJL, AL – Activity Theory 4C/ID, Learning environment Online interactions Figure. Activity Theory (Engeström, 2000) Figure. Online interactions (Hirumi, 2002)
- 22. Innovation & Adoption (TAM/UTAUT)
- 23. Conclusions It’s not about if (big) data/analytics is different; it’s about doing the right thing & doing things right Must be treated as the same as business intelligence Tools & frameworks are here, are you ready?