Automated Assessment Generation in Intelligent Tutoring Systems

Minősített cikkek
2023-02-02 14:40:00

Intelligent Tutoring Systems have a huge potential to improve the efficiency of learning and teaching, especially for personalized adaptive self-learning. The investigation presented in this paper focuses on the implementation of a sub-module, the Automated Question Generation for Assessment unit, using a combined rule based and machine learning based methods. The proposed module is based on a proposed background domain ontology, and it works in two phases. A generator automaton is used to construct the answer templates in the first phase. In the next phase, an encoder-decoder neural network translator unit was used to generate the question sentence templates for the selected answer templates. According to the tests with the implemented prototype assessment generator application on the SQL domain, the proposed framework is suitable to generate assessment tasks in a very efficient way.

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Hivatkozás

MLA: Kovács, László, László Csépányi-Fürjes, and Ghanim Hussein Ali Ahmed. "Automated Assessment Generation in Intelligent Tutoring Systems." The 15th International Conference Interdisciplinarity in Engineering: Conference Proceedings. Cham: Springer International Publishing, 2022.

APA: Kovács, L., Csépányi-Fürjes, L., & Ahmed, G. H. A. (2022, February). Automated Assessment Generation in Intelligent Tutoring Systems. In The 15th International Conference Interdisciplinarity in Engineering: Conference Proceedings (pp. 808-819). Cham: Springer International Publishing.

ISO690: KOVÁCS, László; CSÉPÁNYI-FÜRJES, László; AHMED, Ghanim Hussein Ali. Automated Assessment Generation in Intelligent Tutoring Systems. In: The 15th International Conference Interdisciplinarity in Engineering: Conference Proceedings. Cham: Springer International Publishing, 2022. p. 808-819.

BibTeX:

@inproceedings{kovacs2022automated,
  title={Automated Assessment Generation in Intelligent Tutoring Systems},
  author={Kov{'a}cs, L{'a}szl{'o} and Cs{'e}p{'a}nyi-F{"u}rjes, L{'a}szl{'o} and Ahmed, Ghanim Hussein Ali},
  booktitle={The 15th International Conference Interdisciplinarity in Engineering: Conference Proceedings},
  pages={808--819},
  year={2022},
  organization={Springer}
}

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