English ABLE

  • Authors:
  • Diego Zapata-Rivera;Waverely Vanwinkle;Valerie Shute;Jody S. Underwood;Malcolm Bauer

  • Affiliations:
  • Educational Testing Service, Princeton, NJ 08541 USA;Educational Testing Service, Princeton, NJ 08541 USA;Educational Testing Service, Princeton, NJ 08541 USA;Educational Testing Service, Princeton, NJ 08541 USA;Educational Testing Service, Princeton, NJ 08541 USA

  • Venue:
  • Proceedings of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work
  • Year:
  • 2007

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Abstract

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.