Course Schedule
Advanced Methods and Analysis for the Learning and Social Sciences
Spring 2012
Professor Ryan S.J.d. Baker

Thursday, January 12

• None

Wednesday, January 18

• None

Monday, January 23

• Baker, F.B. (2001) The Basics of Item Response Theory. Chapters 1,2. [pdf]

• Data file [xlsx]

Wednesday, January 25

• Pavlik, P.I., Cen, H., Koedinger, K.R. (2009) Performance Factors Analysis -- A New Alternative to Knowledge Tracing. Proceedings of AIED2009.[pdf]
• Pavlik, P.I., Cen, H., Koedinger, K.R. (2009) Learning Factors Transfer Analysis: Using Learning Curve Analysis to Automatically Generate Domain Models. Proceedings of the 2nd International Conference on Educational Data Mining. [pdf]

• Data file [xlsx]

Monday, January 30

• Corbett, A.T., Anderson, J.R. (1995) Knowledge Tracing: Modeling the Acquisition of Procedural Knowledge. User Modeling and User-Adapted Interaction, 4, 253-278. [pdf]
• Baker, R.S.J.d., Corbett, A.T., Aleven, V. (2008) More Accurate Student Modeling Through Contextual Estimation of Slip and Guess Probabilities in Bayesian Knowledge Tracing. Proceedings of the 9th International Conference on Intelligent Tutoring Systems, 406-415. [pdf]

• Sweet HW Spreadsheet [xlsx]

Wednesday, February 1

• Fogarty, J., Baker, R., Hudson, S. (2005) Case Studies in the use of ROC Curve Analysis for Sensor-Based Estimates in Human Computer Interaction. Proceedings of Graphics Interface (GI 2005), 129-136. [pdf]
• Davis, J., Goadrich, M. (2006) The relationship between Precision-Recall and ROC curves. Proceedings of the 23rd international conference on Machine learning. [pdf]
• Russell, S., Norvig, P. (2010) Artificial Intelligence: A Modern Approach. Ch. 20: Learning Probabilistic Models.

Monday, February 6

• Barnes, T. (2005) The Q-matrix Method: Mining Student Response Data for Knowledge. Proceedings of the Workshop on Educational Data Mining at the Annual Meeting of the American Association for Artificial Intelligence.[pdf]
• Desmarais, M.C., Meshkinfam, P., Gagnon, M. (2006) Learned Student Models with Item to Item Knowledge Structures. User Modeling and User-Adapted Interaction, 16, 5, 403-434. [pdf]
• Cen, H., Koedinger, K., Junker, B. (2006) Learning Factors Analysis – A General Method for Cognitive Model Evaluation and Improvement. Proceedings of the International Conference on Intelligent Tutoring Systems, 164-175. [pdf]

Wednesday, February 8

• Beck, J.E., Chang, K-m., Mostow, J., Corbett, A. (2008) Does Help Help? Introducing the Bayesian Evaluation and Assessment Methodology. Proceedings of the International Conference on Intelligent Tutoring Systems. [pdf]

Monday, February 13

• Sao Pedro, M.A., Baker, R.S.J.d., Gobert, J., Montalvo, O. Nakama, A. (in press) Leveraging Machine-Learned Detectors of Systematic Inquiry Behavior to Estimate and Predict Transfer of Inquiry Skill. To appear in User Modeling and User-Adapted Interaction. [pdf]
• Baker, R.S.J.d., Corbett, A.T., Roll, I., Koedinger, K.R. (2008) Developing a Generalizable Detector of When Students Game the System. User Modeling and User-Adapted Interaction, 18, 3, 287-314. [pdf]

• Ryan modified data file [csv]
• Ryan RapidMiner xml file [xml]

Wednesday, February 15

• None

Monday, February 20

• None

Wednesday, February 22

• Rosenthal, R., Rosnow, R.L. (1991) Essentials of Behaviroal Research: Methods and Data Analysis, 2nd edition. Ch. 22: Meta-Analysis.

Monday, February 27

• Ramsey, F.L., Schafer, D.W. (1997) The Statistical Sleuth: A Course in Methods of Data Analysis. Sections 7.2-7.4, 9.2-9.3, 10.2-10.3
• Witten, I.H., Frank, E. (2005)Data Mining: Practical Machine Learning Tools and Techniques. Sections 4.6, 6.5.

Wednesday, February 29

Monday, March 5

Wednesday, March 7

Monday, March 12

• Ferguson, G.A. (1971) Statistical Analysis in Psychology and Education (3rd edition). Ch. 27: Factor Analysis.

Wednesday, March 14

• Witten, I.H., Frank, E. (2005)Data Mining: Practical Machine Learning Tools and Techniques. Sections 4.8, 6.6.

Friday, March 16

• Lawrence, C.E., Altschul, S.F., Boguski, M.S., Liu, J.S., Neuwald, A.F., Wootton, J.C. (1993) Detecting subtle sequence signals: a Gibbs sampling strategy for multiple alignment. Science, 262 (5131), 208-214. [pdf]
• Shanabrook, D.H., Cooper, D.G., Woolf, B.P., Arroyo, I. (2010)Identifying High-Level Student Behavior Using Sequence-based Motif Discovery. Proceedings of the 3rd International Conference on Educational Data Mining,191-200. [pdf]

Monday, March 19

• Witten, I.H., Frank, E. (2005)Data Mining: Practical Machine Learning Tools and Techniques. Section 4.5.
• Merceron, A., Yacef, K. (2008) Interestingness Measures for Association Rules in Educational Data. Proceedings of the 1st International Conference on Educational Data Mining,57-66. [pdf]

Wednesday, March 21

• None

Monday, March 26

• Srikant, R., Agrawal, R. (1996) Mining Sequential Patterns: Generalizations and Performance Improvements. Research Report: IBM Research Division. San Jose, CA: IBM. [pdf]
• Perera, D., Kay, J., Koprinska, I., Yacef, K., Zaiane, O. (2009) Clustering and Sequential Pattern Mining of Online Collaborative Learning Data. IEEE Transactions on Knowledge and Data Engineering, 21, 759-772 [pdf]

Wednesday, March 28

Monday, April 2

• Martin, B., Mitrovic, A., Koedinger, K.R., Mathan, S. (2011) Evaluating and improving adaptive educational systems with learning curves. User Modeling and User-Adapted Interaction, 21 (3), 249-283 [pdf]

Wednesday, April 4

• Baker, R.S.J.d., Gowda, S.M. (2010) An Analysis of the Differences in the Frequency of Students' Disengagement in Urban, Rural, and Suburban High Schools. Proceedings of the 3rd International Conference on Educational Data Mining, 11-20. [pdf]

Monday, April 9

• Schafer, J.L., Graham, J.W. (2002) Missing Data: Our View of the State of the Art. Psychological Methods, 7 (2), 147-177 [pdf]

Wednesday, April 11

• Lachin, J.M. (1981) Introduction to Sample Size Determination and Power Analysis for Clinical Trials Controlled Clinical Trials,2,93-113.[pdf]
• Cohen, J. (1992) A Power Primer. Psychological Bulletin , 112 (1), 155-159. [pdf]

Monday, April 16

Wednesday, April 18

• Rosenthal, R., Rosnow, R.L. (1991) Essentials of Behavioral Research: Methods and Data Analysis, 2nd edition. p. 329-333.
• Verhoven, K.J.F., Simonsen, K.L., McIntyre, L.M. (2005)Implementing false discovery rate control: increasing your power. Oikos, 108, 643-647. [pdf]

Monday, April 23

Wednesday, April 25

• Haythornthwaite, C. (2001) Exploring Multiplexity: Social Network Structures in a Computer-Supported Distance Learning Class. The Information Society: An International Journal, 17 (3), 211-226[pdf]
• Dawson, S. (2008) A study of the relationship between student social networks and sense of community. Educational Technology & Society, 11(3),224-238. [pdf]

Thursday, April 26

• Ferguson, G.A. (1971) Statistical Analysis in Psychology and Education (3rd edition). p. 160-172, 321-346, 390-403.

Monday, April 30

• Caruana, R., Niculescu-Mizil, A., Crew, G., Ksikes, A. (2004) Ensemble selection from libraries of models. Proceedings of the twenty first International Conference on Machine Learning. [pdf]
• Pardos, Z.A., Baker, R.S.J.d., Gowda, S.M., Heffernan, N.T. (in press) The Sum is Greater than the Parts: Ensembling Models of Student Knowledge in Educational Software. To appear in SIGKDD Explorations. [pdf]