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DESIGNING A SUSTAINABLE AND EFFECTIVE ONLINE INSTRUCTION PROGRAM ADAPTIVE LEARNING IN THE LIBRARY Joelle Pitts Assistant Professor | Instructional Design.

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Presentation on theme: "DESIGNING A SUSTAINABLE AND EFFECTIVE ONLINE INSTRUCTION PROGRAM ADAPTIVE LEARNING IN THE LIBRARY Joelle Pitts Assistant Professor | Instructional Design."— Presentation transcript:

1 DESIGNING A SUSTAINABLE AND EFFECTIVE ONLINE INSTRUCTION PROGRAM ADAPTIVE LEARNING IN THE LIBRARY 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4 GREAT PLAINS IDEA FACULTY Most teach on campus Most are under pressure Most completed their graduate work using outdated technologies Focus is getting content online Most assume their audience is non- traditional And knows how to conduct research Information literacy gaps More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

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 10+ years since undergraduate work Technology learning curve Wikis Google applications Multimedia/collaborative platforms Library use Arent aware they are able to access it as a distance student Perception of the library is print based Expectations Consistency Format Efficiency Cost

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 Technology Wired Social Media Multimedia/collaborative platforms Mobile Gaming Library use Arent aware they are able to access it as a distance student Perception of the library is print based Expectations Consistency Format Efficiency Cost Pew Research Center (2010)

12 GPIDEA COMMON STUDENT BEHAVIORS AND EXPECTATIONS Behavior Library use Arent aware they are able to access it as a distance student Perception of the library is print based Expectations Consistency Format Efficiency Cost 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 users 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: 5 th 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 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://web.mit.edu/newsoffice/2009/ai-overview- 1207.html http://s425.photobucket.com/albums/pp339/ridizle 4/?action=view¤t=terminator.png&newest=1 http://s425.photobucket.com/albums/pp339/ridizle 4/?action=view¤t=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.braintrack.com/college-and-work- news/articles/non-traditional-students-becoming- the-norm-10082502 http://www.drexel.edu/univrel/digest/archive/1103 06/index.html http://www.drexel.edu/univrel/digest/archive/1103 06/index.html


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