Auto-Grader - Auto-Grading Free Text Answers (Paperback) (ISBN-13: 9783658392024)

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.

Author: Robin Richner
ISBN-10: 3658392029
ISBN-13: 9783658392024
Publisher: Springer Gabler
Language: English
Published: 10/15/2022
Pages: 96
Format: Paperback
Weight: 0.35lbs
Size: 8.19h x 5.67w x 0.32d