Educational technology enhanced interprofessional E-learning for engaging cross-institutional and cross-border healthcare students: A mixed-methods study

作者：Siu Ling Chan, John Tai Chun Fung, Man Sang Wong, Christopher Chi Wai Cheng, Jay Jung Jae Lee, Hye Ri Choi, Wai Hin Wan, Harrison Withrow, Seng-Iad Sirirat, Wai Ho Tse, Rebecca Po Wah Poon, Choi Fung Lam, Hemio Chung Yan Lam, Chun Kit Chan, Chia‐Chin Lin · 发表于：International Journal of Nursing Studies Advances · 年份：2025 · DOI：10.1016/j.ijnsa.2025.100404 · 被引用次数：3 · 研究领域：Interprofessional Education and Collaboration、E-Learning and COVID-19、Cultural Competency in Health Care

Aim: In the post-COVID-19 era, educators in higher education are exploring innovative pedagogies to deliver effective interprofessional education in an online learning environment. This study aimed to evaluate the effectiveness of the technology-enhanced e-learning modules for undergraduate healthcare students from different cultural backgrounds. The focus was on student engagement with interprofessional learning and diversity using innovative educational technology. Methods: This is a mixed-methods study including pre- and post-test evaluations and focus group interviews. The educational intervention strategies focused on applying interprofessional learning among undergraduate healthcare students by integrating education technologies (i.e., virtual reality 360 and gamification) into two e-learning modules. Three time-points involving pre and post modules' evaluation (before and after the 1st learning module, and after the 2nd learning module) were collected using validated scales including Interprofessional Attitudes Scale and Online Student Engagement Scale. Linear mixed models were used to investigate the association between interventions and changes in outcomes from pre-to post-intervention by adjusting the covariates. To further validate the quantitative findings, focus-group interviews were conducted with a verbatim transcript obtained from participating students for content analysis. Results: < 0.001) after the e-learning modules. A statistically significant correlatio...