e-Grammar: An Assessment-based Learning Environment for English Grammar
Minmin Yang, Rice University, United States ; Diego Zapata-Rivera, Malcolm Bauer, Educational Testing Service, United States
EdMedia + Innovate Learning, in Orlando, FL USA ISBN 978-1-880094-60-0 Publisher: Association for the Advancement of Computing in Education (AACE), Waynesville, NC
Previous grammar learning environments have made limited use of both theoretical and technological advances to date. This paper presents e-Grammar, a prototype of an assessment-based learning environment, which provides a variety of additional adaptive features. The system at the macro-adaptive level adapts to students' ages, native languages, cultural background and initial choice of difficulty levels. The system at the micro-adaptation level integrates a Bayesian student model that is used to provide adaptive sequencing and feedback according to the student's knowledge level and performance across items. Studies on evaluating the effectiveness of this system will be carried out in the near future.
Yang, M., Zapata-Rivera, D. & Bauer, M. (2006). e-Grammar: An Assessment-based Learning Environment for English Grammar. In E. Pearson & P. Bohman (Eds.), Proceedings of ED-MEDIA 2006--World Conference on Educational Multimedia, Hypermedia & Telecommunications (pp. 2474-2479). Orlando, FL USA: Association for the Advancement of Computing in Education (AACE).
© 2006 Association for the Advancement of Computing in Education (AACE)