Analytics-enabled authentic assessment design approach for digital education

• Main Authors: LIM, Tristan, GOTTIPATI, Swapna, CHEONG, Michelle L. F., NG, Jun Wei, PANG, Christopher
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2023
• Subjects: Authentic Assessment Design; Digital Education; Pilot Study; Gamified Heutagogical Multi-modal AI-driven (“GHMA”) Approach; Learner Experience and Satisfaction; Computer Sciences; Educational Assessment, Evaluation, and Research
• Online Access: https://ink.library.smu.edu.sg/sis_research/7764; https://ink.library.smu.edu.sg/context/sis_research/article/8767/viewcontent/s10639_022_11525_3_pv.pdf
• Institution: Singapore Management University

There are known issues in authentic assessment design practices in digital education, which include the lack of freedom-of-choice, lack of focus on the multimodal nature of the digital process, and shortage of effective feedbacks. This study looks to identify an assessment design construct that over...