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Domain-Specific Extensions for an E-Assessment System

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11841))

Abstract

E-assessment systems that provide automated feedback are a well-known part of modern education. Extensibility of e-assessment system with respect to domain-specific features is an import aspect of system design. This paper reports on two successful cases in which an existing e-assessment system was extended with domain-specific features.

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Notes

  1. 1.

    http://mathdox.org/formulaeditor/.

  2. 2.

    https://www.openmath.org/.

  3. 3.

    http://www.xml-cml.org/.

  4. 4.

    https://www.w3.org/Math/.

  5. 5.

    https://github.com/simplenlg/simplenlg.

References

  1. Dagger, D., O’Connor, A., Lawless, S., Walsh, E., Wade, V.P.: Service-oriented e-learning platforms: from monolithic systems to flexible services. IEEE Internet Comput. 11(3), 28–35 (2007)

    Article  Google Scholar 

  2. Vedrine, J.M.: Javascript Molecular Editor question type for Moodle. https://github.com/jmvedrine/moodle-qtype_jme

  3. Goguadze, G.: Active Math - Generation and Reuse of Interactive Exercises using Domain Reasoners and Automated Tutorial Strategies. Ph.D. thesis, Universitädes Saarlandes (5 2011)

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  4. Striewe, M.: An architecture for modular grading and feedback generation for complex exercises. Sci. Comput. Program. 129, 35–47 (2016)

    Article  Google Scholar 

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Acknowledgements

Research for this paper was partially funded by the Federal Ministry of Education and Research under grant number 01PL16075.

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Correspondence to Michael Striewe .

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© 2019 Springer Nature Switzerland AG

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Pobel, S., Striewe, M. (2019). Domain-Specific Extensions for an E-Assessment System. In: Herzog, M., Kubincová, Z., Han, P., Temperini, M. (eds) Advances in Web-Based Learning – ICWL 2019. ICWL 2019. Lecture Notes in Computer Science(), vol 11841. Springer, Cham. https://doi.org/10.1007/978-3-030-35758-0_32

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  • DOI: https://doi.org/10.1007/978-3-030-35758-0_32

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-35757-3

  • Online ISBN: 978-3-030-35758-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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