On analysing student resilience in Higher Education Programs using a data-driven approach

• Main Authors: WIDJAJA, Audrey Tedja, LIM, Ee-Peng, GUNAWAN, Aldy
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2021
• Subjects: data-driven framework; academic resilience; quasiexperimental design; pairwise analysis; Databases and Information Systems; Educational Assessment, Evaluation, and Research; Higher Education
• Online Access: https://ink.library.smu.edu.sg/sis_research/6754; https://ink.library.smu.edu.sg/context/sis_research/article/7757/viewcontent/5._On_Analysing_Student_Resilience_in_Higher_Education_Programs_Using_a_Data_Driven_Approach_IEEETALE2021_.pdf
• Institution: Singapore Management University

Analysing student resilience is important as research has shown that resilience is related to students’ academic performance and their persistence through academic setbacks. While questionnaires can be conducted to assess student resilience directly, they suffer from human recall errors and delibera...