Understanding student engagement with the institution from the first day of classes to the end of the semester would help inform the institution of the potential risk that a student will drop out of a class or of the school. Learning Management Systems (LMS) record student interactions with the system and might be able to be used to identify…

Course dropout is a concern in online higher education, mainly in first-year courses when different factors negatively influence the learners' engagement leading to an unsuccessful outcome or even dropping out from the university. The early identification of such potential at-risk learners is the key to intervening and trying to help them before…

English language learning students in China often feel challenged to learn English due to lack of motivation and confidence, pronunciation and grammar difference, lack of practice and people to communicate with etc., which affects students mental health. Adopting Big data and AI will help in overcoming these limitations as it provides personalized…

Studying STEM Intervention Program (SIP) retention, particularly what distinguishes those students who remain in the program from those that leave, may be a key to better understand how to keep students on track towards STEM degree completion. This study focuses on the participation of Latinx and other underrepresented racial/ethnic minoritized…

Mentorship-based interventions have been found to have positive effects for youth at-risk of negative academic and behavioral outcomes. Implementation studies of school-based mentorship programs, such as the Check & Connect (C&C) program, have mixed results with some studies supporting positive academic and behavioral outcomes for students…

Nearly half of students who enter college do not graduate. The majority of efforts to increase college completion have focused on supporting students before or soon after they enter college, yet many students drop out after making significant progress towards their degree. In this paper, we report results from a multi-year, large-scale…

Predicting students' performance to identify which students are at risk of receiving a D/Fail/Withdraw (DFW) grade and ensuring their timely graduation is not just desirable but also necessary in most educational entities. In the US, not only is the Science, Technology, Engineering, and Mathematics (STEM) major becoming less popular among…

We describe the challenge of college non-completion in the U.S. and a variety of explanations for the high rate of non-completion. We then provide an overview of the implementation of and evidence from eight specific college completion interventions designed to increase college completion rates through a comprehensive set of services. The eight…

This work discusses a nudging intervention mechanism combined with an artificial intelligence (AI) system for early detection of learners' risk of failing or dropping out. Different types of personalized nudges were designed according to educational principles and the learners' risk classification. The impact on learners' performance, dropout…

The College Completion Network was established to expand the field's understanding of promising strategies that could support more students in attaining degrees at open- and broad-access institutions. Funded by a 6-year grant (2017-2022) from the Institute of Education Sciences, the network brought together research teams focused on postsecondary…

Although the number of students in higher education institutions (HEIs) has increased over the past two decades, it is far from assured that all students will gain an academic degree. To that end, institutional analytics (IA) can offer insights to support strategic planning with the aim of reducing dropout and therefore of minimizing its negative…

Dropout rates in higher education (HE) are particularly high for non-traditional students which may be due to unadjusted educational policies. Considering as non-traditional the students who are employed at the enrolment moment and using a longitudinal database containing information on 5351 students from a Portuguese HE institution, an event…

This study sought to explore dating violence perceptions from Latino students in a college setting with the goal of enhancing knowledge for developing successful culturally tailored preventive interventions that decrease Latino college student dropout and enhance persistence. Focus groups including 35 college students attending a Hispanic Serving…

Higher education institutions are increasingly seeking technological solutions to not only enhance the learning environment but also support students. In this study, we explored the case of an early alert system (EAS) at a regional university engaged in both on-campus and online teaching. Using a total of 16,142 observations captured between 2011…

Background: People who are racialized, gendered, or otherwise minoritized are underrepresented in computing professions in North America. This is reflected in undergraduate computer science (CS) programs, in which students from marginalized backgrounds continue to experience inequities that do not typically affect White cis-men. This is especially…