Titlebook: Intelligent Tutoring Systems; 12th International C Stefan Trausan-Matu,Kristy Elizabeth Boyer,Kitty P Conference proceedings 2014 Springer

食草

Towards Automatically Detecting Whether Student Is in Flowthis paper, we present an automated detector which is able to identify the students that are in flow. This detector is developed using a step regression approach, with data collected from college students learning linear algebra from a step-based tutoring system.

GEON

To Quit or Not to Quit: Predicting Future Behavioral Disengagement from Reading Patternsbove chance), as well as if students would quit sometime after the first page with an accuracy of 81.4% (51% greater than chance). Both . quits and . quits were significantly related to learning, which provides some evidence for the predictive validity of our model. Implications and future work related to ITSs are also discussed.

AUGUR

Acumen

vibrant

變態(tài)

nugatory

Using an Intelligent Tutoring System to Support Collaborative as well as Individual Learningwledge. The collaborative groups had the same learning gains as the individual groups in both the procedural and conceptual learning conditions but were able to do so with fewer problems. This work indicates that by embedding collaboration scripts in ITSs, collaborative learning can be an effective instructional method even with young children.

blithe

Conference proceedings 2014SA, in June 2014. The 31 revised full papers, 45 short papers and 27 posters presented were carefully viewed and selected from 177 submissions. The specific theme of the ITS 2014 conference is "Creating fertile soil for learning interactions". Besides that, the highly interdisciplinary ITS conferenc

PRE

散步