Improving students´ help-seeking skills using metacognitive feedback in an intelligent tutoring system.

Ido Roll, Vincent Aleven, Bruce McLaren, Kenneth R. Koedinger

In: Learning and Instruction 21 2 Seiten 267-280 Elsevier 2011.


The present research investigated whether immediate metacognitive feedback on students’ help-seeking errors can help students acquire better help-seeking skills. The Help Tutor, an intelligent tutor agent for help seeking, was integrated into a commercial tutoring system for geometry, the Geometry Cognitive Tutor. Study 1, with 58 students, found that the real-time assessment of students’ help-seeking behavior correlated with other independent measures of help seeking, and that the Help Tutor improved students’ help-seeking behavior while learning Geometry with the Geometry Cognitive Tutor. Study 2, with 67 students, evaluated more elaborated support that included, in addition to the Help Tutor, also help-seeking instruction and support for self-assessment. The study replicated the effect found in Study 1. It was also found that the improved help-seeking skills transferred to learning new domain-level content during the month following the intervention, while the help- seeking support was no longer in effect. Implications for metacognitive tutoring are discussed.

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence