Engineering Commons^™

Towards Automatically Detecting Whether Student Learning Is Shallow, Ryan Baker, Sujith Gowda, Albert Corbett, Lisa Rossi

Ryan S.J.d. Baker

Recent research has extended student modeling to infer not just whether a student knows a skill or set of skills, but also whether the student has achieved robust learning – learning that enables the student to transfer their knowledge and prepares them for future learning (PFL). However, a student may fail to have robust learning in two fashions: they may have no learning, or they may have shallow learning (learning that applies only to the current skill, and does not support transfer or PFL). Within this paper, we present automated detectors which identify shallow learners, who are likely to need …