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Using Active Learning for Assisted Short Answer Grading

  • Efficient and comprehensive assessment of students knowledge is an imperative task in any learning process. Short answer grading is one of the most successful methods in assessing the knowledge of students. Many supervised learning and deep learning approaches have been used to automate the task of short answer grading in the past. We investigate why assistive grading with active learning would be the next logical step in this task as there is no absolute ground truth answer for any question and the task is very subjective in nature. We present a fast and easy method to harness the power of active learning and natural language processing in assisting the task of grading short answer questions. A webbased GUI is designed and implemented to incorporate an interactive short answer grading system. The experiments show that active learning saves the time and effort of graders in assessment and reaches the performance of supervised learning with less amount of graded answers for training.

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Document Type:Conference Object
Author:Jeeveswaran Kishaan, Mohandass Muthuraja, Deebul Nair, Paul G. Plöger
Parent Title (English):ICML 2020 Workshop on Real World Experiment Design and Active Learning
Number of pages:9
Date of first publication:2020/08/01
Keyword:Active Learning; Automatic Short Answer Grading
Departments, institutes and facilities:Fachbereich Informatik
Dewey Decimal Classification (DDC):0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Entry in this database:2020/08/04