Increased and targeted counseling and advising may be an effective way to support English learner students enrolled in programs for English for Speakers of Other Languages (ESOL). This study examines ESOL student outcomes after an embedded counseling intervention in which college counselors repeatedly visited ESOL course sections to discuss…

Student attrition from STEM disciplines is one of the most pressing issues in higher education. To better understand the causes of this attrition, this study examines STEM students' college experiences and uncovers their perspectives on the existing support systems with a specific focus on the role of academic advising. Our research reveals that…

Texting has been identified as a tool that has the potential to enhance informational exchanges between academic advisors and students. We use focus group and survey data from a recent texting intervention to assess student and advisor receptivity to texting as a new mode of communication. The data reveal that most students immediately saw the…

Identifying and supporting high-risk students are critical to increasing retention and persistence. What makes some high-risk students able to succeed, while others attrit? This article argues that early success in college courses is a key factor in resilience among high-risk students. Enrolling students in skill-appropriate courses during their…

This study examined how 10 Latinx students perceived their sense of belonging in engineering programs. Drawing upon Strayhorn's definition of sense of belonging, we sought to understand the experiences and individuals that facilitated Latinx students' connections to their engineering programs and to the larger campus community at a 4-year…

Higher education institutions have prioritized supporting undecided students with their major and career decisions for decades. This study used a U.S. public research-focused university's large-scale institutional data set and undecided student's retention and graduation rate predictors to demonstrate how to couple student and institutional data…

This study presents a systematic review of the literature on the predicting student retention in higher education through machine learning algorithms based on measures such as dropout risk, attrition risk, and completion risk. A systematic review methodology was employed comprised of review protocol, requirements for study selection, and analysis…

We examined three large freshman cohorts from Texas State University, a Hispanic-Serving Institution (HSI), to identify risk factors that might affect academic retention. Risk factors supported by empirical studies such as first-generation, ethnicity, gender, financial aid need, high school performance, and living off campus were examined. We also…

High attrition rates have been a defining characteristic of doctoral education for decades, representing a loss of time, talent, and effort for departing students and their faculty. This qualitative study uses a biomedical science doctoral student sample to collect "real time" data on attrition within the first 2 years of doctoral…

Female, Black, Latinx, Native American, low-income, and rural students remain underrepresented among computer science undergraduate degree recipients. Along with student, family, and secondary school characteristics, college organizational climate, curricula, and instructional practices shape undergraduates' experiences that foster persistence…

Advising students for success in higher education has always been an important and challenging task. This becomes even more critical nowadays as most higher education institutions are trying to boost their enrollment and improve their retention so that they can be self-sufficient financially and sustainable economically. Research studies on…

This exploratory mixed-methods study examines factors contributing to doctoral students' consideration of departure from their graduate programs with comparisons made by sex and affiliation with Science, Technology, Engineering, and Mathematics (STEM) programs. Logistic regression and qualitative analyses point to the importance of strong…

In this study, we investigated how environmental, cognitive, and demographic variables influenced students' ability to graduate from a 4-year university in 4 years. Specifically, we examined how behaviors related to social cognitive career theory (i.e., self-efficacy, outcome expectations, and academic goals) were influenced by contextual…

Using intrusive advising principles and the four Cs framework, the Strong-Start Program was developed and implemented to improve student outcomes in developmental math, reading, and writing courses. An intrusive advising protocol was used to help students recognize, adopt, and engage in the behaviors needed to complete instructor-assigned…

Science, Technology, Engineering, and Mathematics student success is an important topic in higher education research. Recently, the use of data analytics in higher education administration has gain popularity. However, very few studies have examined how data analytics may influence Science, Technology, Engineering, and Mathematics student success.…