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.
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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