Auto-Grader - Auto-Grading Free Text Answers

von Robin Richner

96 Seiten, Taschenbuch

Kurzbeschreibung des Verlags

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.

• Reihe: BestMasters
• Themen: Wirtschaftswissenschaft, Finanzen, Betriebswirtschaft und Management Betriebswirtschaft und Management Innovation
• ISBN: 9783658392024
• Sprache: Englisch
• Erscheinungsdatum: 15.10.2022
• Größe: 21 x 14.8 cm
• Verlag: Springer Fachmedien Wiesbaden GmbH