Auto-Grader - Auto-Grading Free Text Answers E-Book

Robin Richner

• Herausgeber: Springer Fachmedien Wiesbaden
• Kategorie: Fachliteratur
• Serie: BestMasters
• Sprache: Englisch

Veröffentlichungsjahr: 2022

Beschreibung

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.