| 英文摘要 |
In information management education, students face challenges not only from rapidly evolving technologies but also from the need to develop adaptability and self-regulation in highly technology-oriented environments. The mentorship system plays a crucial role in supporting students during their early academic stages. However, in recent years, information management programs located in remote areas have increasingly encountered problems of declining student motivation and reduced retention intentions, raising serious concerns about the effectiveness of the mentorship system. This study integrates Socio-Technical Systems Theory (STS), the Technology Acceptance Model (TAM), and Media Richness Theory (MRT) to construct a crosstheoretical analytical framework that examines how mentorship systems, through human–technology interactions, influence student engagement and retention decisions. From an STS perspective, the design of mentorship systems should not be limited to either“technical guidance”or“interpersonal interaction.”Instead, it must simultaneously address institutionalized processes, digital tools, and social relationships to avoid“partial designs”that prioritize efficiency while neglecting students’psychological and motivational needs. Drawing on in-depth interviews with six senior faculty members in information management departments, each with more than ten years of mentoring experience, this study extracted practical strategies in learning support, crisis intervention, use of digital tools, and media selection. The findings indicate that: (1) when employing digital tools such as LINE, surveys, or sociograms, mentors must consider students’perceived usefulness and ease of use (TAM); (2) when addressing emotional support or learning difficulties, media choices must conform to MRT’s principle of media–task fit to ensure communication quality; and (3) consistent with the STS perspective, the success of the mentorship system hinges on“human–technology co-design,”where technological tools and social interactions complement rather than substitute each other, thereby enhancing both technical effectiveness and learning support. This study recommends that information management programs reform their mentorship systems by establishing structured information platforms, strengthening digital communication training for mentors, and designing early-warning and support mechanisms that balance efficiency with care. Such measures not only reduce behavioral gaps caused by biased system design but also align with the STS principle of jointly optimizing technical performance and quality of student life. The results provide valuable insights for future academic decision-making and institutional innovation. |