Integrating Big Five Personality Traits and TPACK: A Pedagogical Framework for Collaborative Learning Management System (C-LMS) in Higher Education

Background The current research assesses whether students can achieve better academic performance through the proposed collaborative learning management system (C-LMS) developed as the primary virtual collaborative learning environment. It is intended to examine the relationship between students’ personality traits and their technological, pedagogical, and content knowledge (TPACK) proficiency and to determine their continued use of technology. Methods The current research initiated an investigation of the issue from psychological perspectives, using students’ Big Five Personality Traits (BFPT) as predictors and extending the study by grounding it in the TPACK framework. It aimed to explain the relationship between BFPT and TPACK among students regarding their continued use of technology. The research experiment was conducted using the developed proposed C-LMS integrated into the virtual collaborative learning environment. Participants completed the provided pre-module knowledge-checking test after completing the BFPT questionnaire. Then, they needed to complete a post-module knowledge-checking test, a TPACK questionnaire, and course feedback. Their course feedback indicates their intention to continue using technology. Results Based on the findings, the students’ BFPT had a significant effect on their TPACK and continued use of technology, except for extraversion, neuroticism and TCK towards TPACK. Using PLSpredict, the proposed model demonstrated substantial predictive power over the LM model, consistently achieving lower RMSE and MAE across most indicators. Engagement within the C-LMS was positively associated with students’ academic performance, suggesting that collaborative features align with higher academic outcomes Conclusions The current research demonstrated the proposed structural model, adopting the Big Five Personality Traits (BFPT) and the TPACK framework, and integrating the proposed C-LMS to improve students’ collaborativeness through a dedicated online course. Moreover, students’ understanding of the enrolled online course improves significantly when the proposed C-LMS is integrated as the primary virtual collaborative learning environment. The phenomenon explained the positive impact of the proposed C-LMS on students’ academic performance in collaboration and knowledge co-creation.