Question Answering in STACK Applying String Similarity

Authors

  • Achim Eichhorn Esslingen University of Applied Sciences
  • Andreas Helfrich-Schkarbanenko Karlsruhe University of Applied Sciences

DOI:

https://doi.org/10.3991/ijet.v17i23.35893

Keywords:

online assessment, question answering, STACK, CAS, Damerau-Levenshtein edit distance, string metric, string similarity, e-learning, Natural Language Processing

Abstract


We present a method to evaluate fill-in-the-blank student answers in STACK using a string metric, which is not possible in the current version of STACK. To increase the quality of the evaluation, we use whitelist and blacklist instead of a single teacher answer. The performance of a STACK question equipped with a string metric is quantitatively demonstrated by evaluating its use in mathematics courses.

Cover iJET Vol. 17 No. 23 (2022)

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Published

2022-12-08

How to Cite

Eichhorn, A., & Helfrich-Schkarbanenko, A. (2022). Question Answering in STACK Applying String Similarity. International Journal of Emerging Technologies in Learning (iJET), 17(23), pp. 56–63. https://doi.org/10.3991/ijet.v17i23.35893

Issue

Vol. 17 No. 23 (2022)

Section

Special Focus Papers

License

Copyright (c) 2022 Andreas Helfrich-Schkarbanenko, Achim Eichhorn

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