Learning Analytics: A short introduction Learning Analytics & Machine Learning March 25, 2014...

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Learning Analytics: A short introduction Learning Analytics & Machine Learning March 25, 2014 #LAK14

Transcript of Learning Analytics: A short introduction Learning Analytics & Machine Learning March 25, 2014...

Page 1: Learning Analytics: A short introduction Learning Analytics & Machine Learning March 25, 2014 #LAK14.

Learning Analytics: A short introduction

Learning Analytics & Machine LearningMarch 25, 2014

#LAK14

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Learning analytics is the measurement, collection, analysis, and reporting of data about learners and their contexts, for the purposes of understanding and optimizing learning and the environments in which it occurs.

LAK11 Conference

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Analytics is the process of developing actionable insights through problem definition and the application of statistical models and analysis against existing and/or simulated future data

Cooper, 2012

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Historical influences

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1. Citation analysis

Garfield, 1955Page et al., 1999

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2. Social network analysis

Milgram, 1967Granovetter, 1973Wellman, 1999Haythornthwaite, 2002

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3. User modeling

Rich, 1979Fischer, 2001 (HCI)

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4. Education/cognitive models

Anderson et al., 1995

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5. Tutors (intelligent)

Burns, 1989Anderson et al., 1995

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6. Knowledge discovery in databases

Fayyad, 1996

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7. Adaptive hypermedia

Brusilovsky, 2001

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8. Digital learning

Elearning/online learningMOOCs

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Related

Business intelligenceAcademic analytics

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Technique: Baker and Yacef (2009) five primary areas of analysis: - Prediction- Clustering- Relationship mining- Distillation of data for human

judgment- Discovery with models

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Application: Bienkowski, Feng, and Means (2012) five areas of LA/EDM application:- Modeling user knowledge, behavior, and experience- Creating profiles of users- Modeling knowledge domains- Trend analysis- Personalization and adaptation

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Why ML?

Two main areas of promise for LA:

NeuroscienceML

(wearable (ambient) computing)

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https://tekri.athabascau.ca/analytics/ Cooper, A. (2012a). What is analytics? Definitions and essential characteristics. JISC CETIS Analytics Series, 1(5). Retrieved on March 10, 2013 from http://publications.cetis.ac.uk/wp-content/uploads/2012/11/What-is-Analytics-Vol1-No-5.pdfGarfield, E. (1955). Citation indexes for Science: A new dimension in documentation through association of ideas. Science, 122(3159), 108-111. Page, L., Brin, S., Motwani, R., & Winograd, T. (1999). The PageRank Citation Ranking: Bringing Order to the Web. Technical Report. Stanford InfoLab. Retrieved on March 10 from http://ilpubs.stanford.edu:8090/422/Milgram, S. (1967) ‘The small world problem.’ Psychology Today 2, 60-67.Granovetter, M. (1973) ‘The strength of weak ties.’ American Journal of Sociology, 78(6), 1360-1380.Wellman, B. (1999) Networks in the global village: life in contemporary communities. Boulder: Westview PressHaythornthwaite, C. (2002) ‘Strong, weak, and latent ties and the impact of new media.’ The Information Society 18, 285-401Rich, E. (1979). User modeling via stereotypes. Cognitive Science 3, 329-354.Fischer, G. (2001). User Modeling in Human-Computer Interactions. User Modeling and User-Adapted Interaction, 11, 65-86. Anderson, J. R., Corbett, A. T., Koedinger, K. R., & Pelletier, R. (1995). Cognitive tutors: Lessons learned. The Journal of the Learning Sciences, 4(2), 167-207. Burns, H. L. (1989). Foundations of intelligent tutoring systems: An introduction. In Richardson, J. J., & Polson, M. C. (Eds.), Proceedings of the Air Force Forum for Intelligent Tutoring Systems. Retrieved on March 10, 2013 from http://www.dtic.mil/cgi-bin/GetTRDoc?AD=ADA207096#page=16 Fayyad, U., Piatetsky-Shapiro, G., & Smyth, P. (1996). From data mining to knowledge discovery in databases. American Association for Artificial Intelligence, 17(30), 37-54.Brusilovsky, P. (2001). Adaptive hypermedia: From intelligent tutoring systems to web-based education. User Modeling and User-Adapted Interaction, 11(1-2), 87-110.Baker, R. S. J.d., & Yacef, K. (2009). The state of educational data mining in 2009: A review and future visions. Journal of Educational Data Mining, 1(1). http://www.educationaldatamining.org/JEDM/images/articles/vol1/issue1/JEDMVol1Issue1_BakerYacef.pdfBienkowski, M., Feng, M., & Means, B. (2012). Enhancing teaching and learning through educational data mining and learning analytics. U.S. Department of Education. Retrieved on March 10, 2013 from http://www.ed.gov/edblogs/technology/files/2012/03/edm-la-brief.pdf