Measuring Self-Regulation in Computer-Based Learning Environments

摘要

I provide a summary of the four invited articles in this special issue and compare and contrast different methods for measuring self-regulation in computer-based learning environments (CBLEs). I present a taxonomy that distinguishes between offline and online measures and further distinguishes subcategories within each of these categories. I discuss four measurement challenges, including orchestrating a repertoire of automated assessments to capture these ongoing activities, developing scoring rubrics and scoring criteria, interpreting assessments, and aligning multiple outcome measures. I also discuss how measures of self-regulated learning in CBLEs can be used to assess important cognitive processes such as planning, strategy use, monitoring, and increased learning. I conclude with several suggestions for measurement practices that enhance and further strengthen the validity of research conclusions.View full textDownload full textRelated var addthis_config = { ui_cobrand: "Taylor & Francis Online", services_compact: "citeulike,netvibes,twitter,technorati,delicious,linkedin,facebook,stumbleupon,digg,google,more", pubid: "ra-4dff56cd6bb1830b" }; Add to shortlist Link Permalink http://dx.doi.org/10.1080/00461520.2010.515936