Abstract
Web-based delivery of educational courses is becoming increasingly common. There is great scope for light-weight AI methods in enhancing web-based education. We describe the design, prototype implementation and use of QuizHelper, a system of light-weight agents that provides feedback to students taking online quizzes. We discuss AgentSquare, the framework used to build QuizHelper. AgentSquare supports adding agent intelligence to websites.
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This project was funded by ARC Spirt Grant C001066966, “Agent based Knowledge Assimilation and Maintenance for online learning”, supported by Hearne Scientific Software.
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Chan, K., Sterling, L. (2003). Light-Weight Agents for E-learning Environments. In: Zhong, N., Raś, Z.W., Tsumoto, S., Suzuki, E. (eds) Foundations of Intelligent Systems. ISMIS 2003. Lecture Notes in Computer Science(), vol 2871. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39592-8_27
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DOI: https://doi.org/10.1007/978-3-540-39592-8_27
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