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Full-Text Articles in Engineering
Detecting Learning Moment-By-Moment, Ryan Baker, Adam Goldstein, Neil Heffernan
Detecting Learning Moment-By-Moment, Ryan Baker, Adam Goldstein, Neil Heffernan
Ryan S.J.d. Baker
Intelligent tutors have become increasingly accurate at detecting whether a student knows a skill, or knowledge component (KC), at a given time. However, current student models do not tell us exactly at which point a KC is learned. In this paper, we present a machine-learned model that assesses the probability that a student learned a KC at a specific problem step (instead of at the next or previous problem step). We use this model to analyze which KCs are learned gradually, and which are learned in “eureka” moments. We also discuss potential ways that this model could be used to …
Comparing Learners' Affect While Using An Intelligent Tutor And An Educational Game, Ryan Baker, Ma.Mercedes Rodrigo
Comparing Learners' Affect While Using An Intelligent Tutor And An Educational Game, Ryan Baker, Ma.Mercedes Rodrigo
Ryan S.J.d. Baker
We compare the affect associated with students learning from an intelligent tutoring system, Aplusix, and a game, Math Blaster 9-12, covering very similar mathematical content. Quantitative field observations of student affect were conducted in classrooms in private schools in the Philippines. Students experienced large amounts of positive affect in both environments. It has been hypothesized that educational games will lead to better affect than other forms of educational software, but it was found that students experienced more positive affect (specifically, engaged concentration) and less negative affect (specifically, boredom) in the intelligent tutor than in the game, though there was a …