Harnessing the power of AI-instructor collaborative grading approach: Topic-based effective grading for semi open-ended multipart questions

• Main Authors: WIN MYINT, Phyo Yi, LO, Siaw Ling, ZHANG, Yuhao
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Large Language Model; Human-AI Collaboration; Semi Open-Ended Multipart Questions; AI-Assisted Grading; Artificial Intelligence and Robotics; Educational Assessment, Evaluation, and Research
• Online Access: https://ink.library.smu.edu.sg/sis_research/9822; https://ink.library.smu.edu.sg/context/sis_research/article/10822/viewcontent/LoSiawLing_2024_Harnessing_the_power_of_AI_instructor_collaborative_grading_approach_semi_open_ended_multipart_questions.pdf
• Institution: Singapore Management University

Semi open-ended multipart questions consist of multiple sub questions within a single question, requiring students to provide certain factual information while allowing them to express their opinion within a defined context. Human grading of such questions can be tedious, constrained by the marking...