Affective computing
Technology support for complex problem solving: from SAD environments to AI
Smart machines in education
Embodied emotional agent in intelligent training system
Recent advances in intelligent paradigms and applications
A Bayesian computational model of social capital in virtual communities
Communities and technologies
Adaptive modelling of student diagnosis and material selection for on-line language learning
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - IBERAMIA '02
Interacting with Inspectable Bayesian Student Models
International Journal of Artificial Intelligence in Education
International Journal of Artificial Intelligence in Education
Adaptive, assessment-based educational games
ITS'10 Proceedings of the 10th international conference on Intelligent Tutoring Systems - Volume Part II
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Assessment-Based Learning Environments (ABLE) make use of assessment information coming from a variety of sources (e.g., formative and summative) to guide instruction. We have developed English ABLE, an assessment based learning environment designed to help English language learners (ELLs) learn about English grammar. Main features of English ABLE include: Item/task reuse (900 enhanced TOEFL® items were recalibrated based on data from all native Spanish speakers who have taken the test), a Bayesian psychometric student model that makes use item statistics, adaptive feedback, adaptive sequencing of tasks, pedagogical agents (Dr. Grammar, Jorge and Carmen), and an indirectly visible student model. This paper presents English ABLE and reports on some preliminary results from a study that involved 149 native Spanish-speaking ELLs.