Titlebook: Artificial Intelligence in Education; 17th International C Cristina Conati,Neil Heffernan,M. Felisa Verdejo Conference proceedings 2015 Spr

減震

Kathryn Edin,Laura Tach,Timothy J. Nelsonlogue act classification hold great promise, and among these, unsupervised dialogue act classifiers have the great benefit of eliminating the human dialogue act annotation effort required to label corpora. In contrast to traditional evaluation approaches which judge unsupervised dialogue act classif

Constrain

排出

entice

離開就切除

blister

填料

執(zhí)

Automorphic forms for the modular groupthe mechanisms by which they occur are difficult to isolate in clinical settings. Computer-based learning environments (CBLE) offer the opportunity to train medical students to avoid cognitive errors by tracking the onset of these errors. The purpose of this study is to explore cognitive errors in a

使出神

resistant

https://doi.org/10.1007/978-3-319-19773-9Affective computing; Artificial neural network; Authoring tools; Cognitive modeling; Collaborative learn