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Yiran Chen – Research in Higher Education, 2025
The "k"-means clustering method, while widely embraced in college student typology research, is often misunderstood and misapplied. Many researchers regard "k"-means as a near-universal solution for uncovering homogeneous student groups, believing its success hinges primarily on the selection of an appropriate "k."…
Descriptors: College Students, Classification, Educational Research, Research Methodology
David Shuang Song; Anthony Lising Antonio; Pearl Lo – International Studies in Sociology of Education, 2025
In a longitudinal interview-based study of racial-minority students of low-income or working-class origin at an elite private university in the United States, we examine how class and race co-determine students' friendship-making patterns. We advance previous research in college students' friendship-making by applying a dual lens of…
Descriptors: College Students, Private Colleges, Social Class, Race
Chang Lu; Okan Bulut; Carrie Demmans Epp; Mark Gierl – Distance Education, 2025
Engagement is essential for improving academic outcomes, especially in technology-enhanced learning (TEL) environments where self-regulated learning is critical. This study investigated the longitudinal impacts of different levels of engagement on undergraduate students' short-term and long-term academic outcomes in TEL. Using a learning analytics…
Descriptors: Learner Engagement, Outcomes of Education, Technology Uses in Education, Educational Technology
Helen Boylan; Alison L. DuBois; Brian Petrus – Journal of STEM Education: Innovations and Research, 2025
In recent years, employers have expressed concerns that Science, Technology, Engineering, and Mathematics (STEM) graduates, though proficient in their academic disciplines, lack the critical skills necessary for success in the workplace (Karimi & Pina, 2021). Additionally, many non-STEM majors do not develop the basic STEM competencies that…
Descriptors: Student Projects, Active Learning, Teamwork, Undergraduate Students