Learning Analytics and Computational Techniques for Detecting and Evaluating Patterns in Learning: An Introduction to the Special Issue

Journal of the Learning Sciences

Volumn 22, Issue 4, 2013, Pages 511-520

  Martin, Taylor ^a   Sherin, Bruce ^b  

^a UTAH STATE UNIVERSITY   (United States)

^b NORTHWESTERN UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84887882370     PISSN: 10508406     EISSN: None     Source Type: Journal    
DOI: 10.1080/10508406.2013.840466     Document Type: Article

References (5)

1. Baker, R. S., Hershkovitz, A., Rossi, L. M., Goldstein, A. B. and Gowda, S. M. 2013/this issue. Predicting robust learning with the visual form of the moment-by-moment learning curve. Journal of the Learning Sciences, 22: 639 - 666. doi: 10.1080/10508406.2013.836653
2. Berland, M., Martin, T., Benton, T., Petrick Smith, C. and Davis, D. 2013/this issue. Using learning analytics to understand the learning pathways of novice programmers. Journal of the Learning Sciences, 22: 564 - 599. doi: 10.1080/10508406.2013.836655
3. Blikstein, P., Worsley, M., Piech, C., Gibbons, A., Sahami, M., Cooper, S. and Koller, D. in press. Programming pluralism: Using learning analytics to detect patterns in the learning of computer programming. Journal of the Learning Sciences,
4. Gobert, J. D., Sao Pedro, M., Raziuddin, J. and Baker, R. S. From log files to assessment metrics: Measuring students' science inquiry skills using educational data mining. Journal of the Learning Sciences, 22 521 - 563. 2013/this issuedoi:10.1080/10508406.2013.837391
5. Sherin, B. A computational study of commonsense science: An exploration in the automated analysis of clinical interview data. Journal of the Learning Sciences, 22 600 - 638. 2013/this issuedoi:10.1080/10508406.2013.836654