Auto-Grader - Auto-Grading Free Text Answers

Auto-Grader - Auto-Grading Free Text Answers

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Teachers spend a great amount of time grading free text answer type questions. To encounter this challenge an auto-grader system is proposed. The thesis illustrates that the auto-grader can be approached with simple, recurrent, and Transformer-based neural networks. Hereby, the Transformer-based models has the best performance. It is further demonstrated that geometric representation of question-answer pairs is a worthwhile strategy for an auto-grader. Finally, it is indicated that while the auto-grader could potentially assist teachers in saving time with grading, it is not yet on a level to fully replace teachers for this task.

Introduction.- Research design.- Research background.- Data.- Model development
Evaluation.- Discussion, limitations and further research.- Conclusion.
ISBN 978-3-658-39202-4
Artikelnummer 9783658392024
Medientyp Buch
Auflage 1st ed. 2022
Copyrightjahr 2022
Verlag Springer, Berlin
Umfang XIII, 96 Seiten
Abbildungen XIII, 96 p. 39 illus., 34 illus. in color. Textbook for German language market.
Sprache Englisch