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Adaptive Learning in the Library: Designing a Sustainable and Effective Online Instruction Program

This article discusses the importance of adaptive learning in designing an online instruction program for libraries. It explores the behaviors and expectations of distance and traditional students, and the challenges faced by faculty in building and assessing online programs. The article also provides an overview of adaptive learning basics and the adaptation process, with examples of adaptive eLearning tools and platforms.

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Adaptive Learning in the Library: Designing a Sustainable and Effective Online Instruction Program

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  1. Adaptive Learning in the Library Designing a sustainable and effective online instruction program Joelle Pitts Assistant Professor | Instructional Design Librarian Kansas State University

  2. Overview • Distance Student Behaviors and Expectations • Adaptive Learning • Library Applications

  3. Background • SLIM • Great Plains IDEA • Distance Education Consortium • Fully online degree programs/course sharing • Faculty and student interaction • Program building • Assessment • Research

  4. Great Plains IDEA Faculty • Most teach on campus • Most are under pressure • Most completed their graduate work using outdated technologies • Focus is getting content online • Most assume their audience is non-traditional • And knows how to conduct research • Information literacy gaps • More training needed

  5. Online = Non-traditional?

  6. Non-traditional?

  7. Non-traditional?

  8. Non-traditional GPIDEA students • Demographics • Mostly female • Avg. age 33 • Non traditional • Work at least part time • Family responsibilities • Financial restrictions

  9. Non-traditional GPIDEA students Behavior Expectations Consistency Format Efficiency Cost • 10+ years since undergraduate work • Technology learning curve • Wikis • Google applications • Multimedia/collaborative platforms • Library use • Aren’t aware they are able to access it as a distance student • Perception of the library is print based

  10. Traditional GPIDEA Students • Fastest growing population in online education • Demographics • Millennial (18-30) • Work part time • Some family obligations

  11. Traditional GPIDEA students Behavior Expectations Consistency Format Efficiency Cost • Technology • Wired • Social Media • Multimedia/collaborative platforms • Mobile • Gaming • Library use • Aren’t aware they are able to access it as a distance student • Perception of the library is print based Pew Research Center (2010)

  12. GPIDEA Common Student Behaviors and Expectations Behavior Expectations Consistency Format Efficiency Cost • Library use • Aren’t aware they are able to access it as a distance student • Perception of the library is print based Information Literacy Level? Online ≠ non-traditional

  13. Adaptive Learning

  14. Adaptive Learning Basics • A system which collects user information and behavioral data to customize a learning experience for an individual • Encourages active participation rather than passive receptacle • Moves away from static hypermedia (same page content and links for all users) • Artificial Intelligence movement Brusilovsky (2001)

  15. This…

  16. Not this…

  17. Machine Learning • Machine collects data and recognizes patterns in the data • Algorithms – sequence of instructions to transform the input into output • Intelligent systems have the ability to learn in a changing environment Alpaydin (2010)

  18. Adaptation Process • Data collection • User interaction • Direct input • Interpret data using models • Infer user requirements and preferences • Tailored aggregation • Presentation of tailored content (adaptive effect) • Synthesis with population data Paramythis & Liodl-Reisinger, (2003)

  19. Adaptation Process Brusilovsky & Maybury (2002)

  20. Modeling Jacko (2009)

  21. Categories of Adaptation • Interaction with the system • Course/object delivery • Content adaptation • Collaborative/social support Paramythis & Liodl-Reisinger (2003)

  22. Content Adaptation • Adaptive presentation • content of a hypermedia page adapted to the user’s goals, knowledge and other information • Adaptive navigation • link presentation and functionality adapted to the goals, knowledge and characteristics of the user • Direct guidance • Link sorting • Link annotation • Link hiding Brusilovsky (2000)

  23. Assessment • System feedback • Embedded assessment • Adaptive • Timing/architecture • Question level

  24. Examples • Adaptive eLearning Research Group • AHA! • Andes Physics Tutor • ELM-ART • GRE • iKnow! • Learnthat • Khan Academy • Knewton • More…

  25. References • Alpaydin, E. (2010). Introduction to machine learning, ch. 1. MIT Press • De Bra, P., et al. (2003) AHA! The Adaptive Hypermedia Architecture. In Proceedings of the fourteenth ACM conference on Hypertext and Hypermedia, Nottingham, August, pp. 81-84 • De Bra, P., Aroyo, L., & Chepegin, V. (2004). The next big thing: adaptive web-based systems. Journal of Digital Information, 5(1). • Brusilovsky, P. (2000). Adaptive hypermedia: from intelligent tutoring systems to web-based education. Intelligent Tutoring Systems: 5th International Conference. • Brusilovsky, P. (2001). Adaptive hypermedia. User modeling and user-adapted interaction. 11: 87-110. • Brusilovsky, P., & Maybury, M. T. (2002). From adaptive hypermedia to the adaptive web. Communications of the ACM, vol. 45, No. 5. • Brusilovsky, P., & Peylo, C. (2003). Adaptive and intelligent web-based educational systems. International Journal of Artificial intelligence in Education 13, 159-172. • Great Plains Interactive Distance Education Alliance. (2009). New student survey • Jacko, J. A. (2009). Human-computer interaction: design issues, solutions, and applications. Taylor & Francis. • Paramythis, A., & Liodl-Reisinger, S. (2003). Adaptive learning environments and e-learning standards. European conference on E-Learning. • Pew Research Center. (2010). Millennials: a portrait of generation next. http://pewsocialtrends.org/files/2010/10/millennials-confident-connected-open-to-change.pdf

  26. Image credits • http://web.mit.edu/newsoffice/2009/ai-overview-1207.html • http://s425.photobucket.com/albums/pp339/ridizle4/?action=view&current=terminator.png&newest=1 • http://www.llift.com/pages/platform.htm • http://www.gw.edu/academics/off/online/ • http://www.braintrack.com/college-and-work-news/articles/non-traditional-students-becoming-the-norm-10082502 • http://www.drexel.edu/univrel/digest/archive/110306/index.html

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