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Usage Simulation and Testing with xAPI for Adaptive E-Learning

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Transforming Learning with Meaningful Technologies (EC-TEL 2019)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11722))

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Abstract

The systematic development of adaptive e-learning systems benefits from the principles of test-driven development, i.e., pre-defined software test cases help to improve the systems to meet the expected (adaptive) behavior. However, the inherent variability of adaptive systems can make test case development tedious and inflexible to maintain. This paper presents a concept for an interoperable, flexible testing tool for adaptive e-learning system development and systematic testing of xAPI compliant e-learning systems. It provides visual inspection and editing functionalities, xAPI simulation, and checks for adaptivity responses. This enables the systematic testing of adaptive systems and an improved development process. An xAPI recording functionality combined with a visualization of the usage flow helps in the test case development. A prototype implementation in a serious game for image interpretation verifies the concept. The concept is domain independent and valid for any xAPI compliant system.

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Acknowledgements

The underlying project to this article is funded by the Federal Office of Bundeswehr Equipment, Information Technology and In-Service Support under promotional references. The authors are responsible for the content of this article.

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Correspondence to Alexander Streicher .

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Streicher, A., Bach, L., Roller, W. (2019). Usage Simulation and Testing with xAPI for Adaptive E-Learning. In: Scheffel, M., Broisin, J., Pammer-Schindler, V., Ioannou, A., Schneider, J. (eds) Transforming Learning with Meaningful Technologies. EC-TEL 2019. Lecture Notes in Computer Science(), vol 11722. Springer, Cham. https://doi.org/10.1007/978-3-030-29736-7_68

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  • DOI: https://doi.org/10.1007/978-3-030-29736-7_68

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-29735-0

  • Online ISBN: 978-3-030-29736-7

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