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."…

This study aims to reveal the main trends and findings of the studies examining the use of learning analytics in distance education. For this purpose, journal articles indexed in the SSCI index in the Web of Science database were reviewed, and a total of 400 journal articles were analysed within the scope of this study. The systematic review…

Feedback plays an important role in supporting students' learning process. Nonetheless, providing feedback is still rather unusual in higher education. Moreover, research on the design of ideal feedback as well as its effects is rare. In order to contribute to the development of this field, a web-based feedback system was implemented in a lecture…

This chapter discusses the utility of person-centered approaches to critical quantitative researchers. These techniques, which identify groups of individuals who share similar attributes, experiences, or outcomes, are contrasted with more commonly used variable-centered approaches. An illustrative example of a latent class analysis of the college…

STEM (Science, Technology, Engineering and Mathematics) education has been achieving growing international attention. As the world economy is becoming more diversified and dependent on innovation, Science, Technology, Engineering, and Math (STEM) skills and expertise are progressively more needed for competition and development. Egyptian students…

This study explored the interaction between student characteristics and the online environment in predicting course performance and subsequent college persistence among students in a large urban U.S. university system. Multilevel modeling, propensity score matching, and the KHB decomposition method were used. The most consistent pattern observed…

Nearly all quantitative analyses in higher education draw from incomplete datasets-a common problem with no universal solution. In the first part of this paper, we explain why missing data matter and outline the advantages and disadvantages of six common methods for handling missing data. Next, we analyze real-world data from 5,905 students across…

This study examined Chinese university students' conceptualization of the meaning of work. One hundred and ninety students (93 male, 97 female) from Beijing, China, participated in the study. Prototype research methodology (J. Li, 2001) was used to explore the meaning of work and the associations among the identified meanings. Cluster analysis was…

As the number of online degree programs continues to grow, one of the greatest challenges is developing a sense of community among learners who do not convene at the same time and place. This study examined the sense of community among medical professionals in an online graduate program for healthcare professionals. We took the sample from a fully…

Community college students typically have access to a large selection of courses and programs, and therefore the student transcripts at any one college or college system tend to be very diverse. As a result, it is difficult for faculty, administrators, and researchers to understand the course-taking patterns of students in order to determine what…

Achievement goal research has grown increasingly complex with the number of proposed goal orientations that motivate students. As the number of proposed goal constructs proliferates, a variety of data analytic challenges have emerged, such as profiling students on different types of goal pursuit as well as evaluating the relationships of multiple…

The efficacy of online learning programs is tied to the suitability of the program in relation to the target audience. Based on the dataset that provides information on student enrollment, academic performance, and demographics extracted from a data warehouse of a large Southwest institution, this study explored the factors that could distinguish…

Identity development is a critical period that extends into adulthood. Based on E. H. Erikson's (1968) theory, this study explored how identity statuses best separate heavy- from light-drinking college students. Exploring identity status can assist students in making healthier behavior choices. (Contains 3 tables.)