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E-Learning Tools with Intelligent Assessment and Feedback for Mathematics Study

E-Learning Tools with Intelligent Assessment and Feedback for Mathematics Study

Christine Bescherer, Daniel Herding, Ulrich Kortenkamp, Wolfgang Müller, Marc Zimmermann
Copyright: © 2012 |Pages: 13
ISBN13: 9781609608422|ISBN10: 1609608429|EISBN13: 9781609608439
DOI: 10.4018/978-1-60960-842-2.ch010
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MLA

Bescherer, Christine, et al. "E-Learning Tools with Intelligent Assessment and Feedback for Mathematics Study." Intelligent and Adaptive Learning Systems: Technology Enhanced Support for Learners and Teachers, edited by Sabine Graf, et al., IGI Global, 2012, pp. 151-163. https://doi.org/10.4018/978-1-60960-842-2.ch010

APA

Bescherer, C., Herding, D., Kortenkamp, U., Müller, W., & Zimmermann, M. (2012). E-Learning Tools with Intelligent Assessment and Feedback for Mathematics Study. In S. Graf, F. Lin, Kinshuk, & R. McGreal (Eds.), Intelligent and Adaptive Learning Systems: Technology Enhanced Support for Learners and Teachers (pp. 151-163). IGI Global. https://doi.org/10.4018/978-1-60960-842-2.ch010

Chicago

Bescherer, Christine, et al. "E-Learning Tools with Intelligent Assessment and Feedback for Mathematics Study." In Intelligent and Adaptive Learning Systems: Technology Enhanced Support for Learners and Teachers, edited by Sabine Graf, et al., 151-163. Hershey, PA: IGI Global, 2012. https://doi.org/10.4018/978-1-60960-842-2.ch010

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Abstract

Mathematics students, often among large university classes of several hundreds of students, are easily daunted when solving math problems. Lacking individual feedback, they easily give up. To bolster learning, Computer-Aided Assessment may help students by giving them individual feedback about their progress. This article presents some general requirements for Intelligent Assessment using semi-automatic feedback in mathematics education with a special focus on solution processes. Intelligent Assessment implies the combination of human assessment along with electronic assessment via intelligent software for evaluating a student’s performance in a specific subject. Assessment tools are used to categorize solutions and detect errors as accurately as possible. Unusual and novel solutions and errors that the computer cannot categorize are forwarded to a tutor or teacher for assessment. Several examples demonstrate that semi-automatic and process-oriented Intelligent Assessment can help to improve learning and, ultimately, student self-confidence in mastering problems.

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