Computer Engineering Commons^™

Population Validity For Educational Data Mining Models: A Case Study In Affect Detection, Ryan Baker, Jaclyn Ocumpaugh, Sujith Gowda, Neil Heffermnan, Cristina Heffernan

Ryan S.J.d. Baker

ICT-enhanced research methods such as educational data mining (EDM) have allowed researchers to effectively model a broad range of constructs pertaining to the student, moving from traditional assessments of knowledge to assessment of engagement, meta-cognition, strategy, and affect. The automated detection of these constructs allows EDM researchers to develop intervention strategies that can be implemented either by the software or the teacher. It also allows for secondary analyses of the construct, where the detectors are applied to a data set that is much larger than one that could be analyzed by more traditional methods. However, in many cases, the data …