IWAS: Intelligent Web-Based Assessment System
Jingshan Huang, University of South Alabama, United States ; Lei He, National Institutes of Health, United States ; Gayle Davidson-Shivers, University of South Alabama, United States
Society for Information Technology & Teacher Education International Conference, in San Diego, CA, USA ISBN 978-1-880094-78-5 Publisher: Association for the Advancement of Computing in Education (AACE), Chesapeake, VA
Effective assessment is vital in educational activities. We propose Intelligent Web-Based Assessment System (IWAS) to assess both learning and teaching. IWAS provides a foundation for more efficiency in instructional activities and, ultimately, student performance by: (1) Given the causes (knowledge levels and learning styles), Bayesian Networks technique is utilized to reason on the probabilities of the presence of the effects (learning outcomes). (2) The absence of teaching assessments is addressed via the feedback from different levels, aiming to correlate teaching assessments with learning assessments for the improved effectiveness in instructional activities. (3) Under a client/server architecture, IWAS is decomposed into a set of modules; through the standard inter-module interfaces, the flexibility of easy maintenance makes IWAS a generalized system adaptable to different domains. (4) Web technologies are integrated to deliver the formative feedback to users in a timely manner.
Huang, J., He, L. & Davidson-Shivers, G. (2010). IWAS: Intelligent Web-Based Assessment System. In D. Gibson & B. Dodge (Eds.), Proceedings of SITE 2010--Society for Information Technology & Teacher Education International Conference (pp. 84-91). San Diego, CA, USA: Association for the Advancement of Computing in Education (AACE).
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