Investigating Bloom's cognitive skills in foundation and advanced programming courses from students' discussions

• Main Authors: LIM, Joel Jer Wei, GOTTIPATI Swapna, SHIM, Kyong Jin
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2022
• Subjects: Discussion forum; Bloom’s taxonomy; cognitive skills; programming posts; machine learning; Databases and Information Systems; Educational Assessment, Evaluation, and Research; Programming Languages and Compilers
• Online Access: https://ink.library.smu.edu.sg/sis_research/7589; https://ink.library.smu.edu.sg/context/sis_research/article/8592/viewcontent/paper_59.pdf
• Institution: Singapore Management University

Programming courses provide students with the skills to develop complex business applications. Teaching and learning programming is challenging, and collaborative learning is proposed to help with this challenge. Online discussion forums promote networking with other learners such that they can build knowledge collaboratively. It aids students open their horizons of thought processes to acquire cognitive skills. Cognitive analysis of discussion is critical to understand students' learning process. In this paper, we propose Bloom's taxonomy based cognitive model for programming discussion forums. We present machine learning (ML) based solution to extract students' cognitive skills. Our evaluations on compupting courses show that ensemble model performs better with an average F1-score of 76%.