Non-completion in higher education is a persistent problem and even worse of a problem in higher online education. Although there is a lot of research on predictors of non-completion, less is known about what interventions resolve the non-completion problem and to what extent these interventions focus on relevant predictors of non-completion. To close that gap, the literature was systematically reviewed with a twofold aim: 1. Identify modifiable predictors of non-completion in higher (online) education 2. Investigate characteristics of effective interventions to reduce non-completion in higher (online) education. Results showed that study-or learning strategies, academic self-efficacy, (academic) goals and intentions, institutional or college adjustment, employment, supportive network, and faculty-student interaction are modifiable consistent predictors of non-completion. Coaching, remedial teaching, and peer mentoring are promising interventions to resolve the problem of non-completion in higher education. Interventions aimed at increasing completion rates are limited in targeting relevant modifiable predictors of noncompletion.

Non-completion is an ongoing concern in higher education, and even more so in higher online education. One way to address this problem is to take initiatives prior to student enrollment, enabling informed decision making. In line with this, an institution for open higher online education seeks to develop a (non-committal) online self-assessment for prospective students. To identify variables (tests) to be included in this self-assessment, the present study aims at validating variables–previously identified as “predictive of completion in higher education and open to intervention before enrollment”—within the current higher online education context. Results of correlational analyses indicate that the following modifiable variables are relevant to include: hours planned to study, employment hours, study intention, discipline, discipline confidence, basic mathematical skills, and social support. Based on a sensitivity cut-off of 95% (to minimize false negatives) about 13% of the actual non-completers could be identified correctly. Implications for future development of the self-assessment are discussed.

This paper presents the results of a study, carried out as part of the design-based development of an online self-assessment for prospective students in higher online education. The self-assessment consists of a set of tests – predictive of completion – and is meant to improve informed decision making prior to enrolment. The rationale being that better decision making will help to address the ongoing concern of non-completion in higher online education. A prototypical design of the self-assessment was created based on an extensive literature review and correlational research, aimed at investigating validity evidence concerning the predictive value of the tests. The present study focused on investigating validity evidence regarding the content of the self-assessment (including the feedback it provides) from a user perspective. Results from a survey among prospective students (N = 66) indicated that predictive validity and content validity of the self-assessment are somewhat at odds: three out of the five tests included in the current prototype were considered relevant by prospective students. Moreover, students rated eleven additionally suggested tests – currently not included – as relevant concerning their study decision. Expectations regarding the feedback to be provided in connection with the tests include an explanation of the measurement and advice for further preparation. A comparison of the obtained scores to a reference group (i.e., other test-takers or successful students) is not expected. Implications for further development and evaluation of the self-assessment are discussed.

Over the last decades, changes within higher education have created increased pressure and uncertainty for academics, increasing their risk for cognitive, behavioral, physical, as well as psychological issues due to high job demands. Specifically, for new academics in teaching roles, their lack of knowledge and skills can contribute to a negative effect of these job demands on their well-being. This study therefore explored how teaching-related professional development programs can enhance new university teachers’ well-being, through semi-structured interviews with 10 university teachers participating in such a program at a mid-sized Dutch university. We pay special attention to the relationship between specific learning activities integrated in the program (such as learning communities, formal workshops, and reflecting) and various dimensions of the psychological model of well-being by Ryff and Keyes (such as self-acceptance, autonomy, environmental mastery, and positive relationships). Using co-occurrence analysis and content analysis, we found that different learning activities had distinct relationships with different well-being facets. For example, formal workshops were mainly related to environmental mastery, a purpose in life and personal growth, while reflecting seemed to be especially connected to teachers’ self-acceptance, and participating in a learning community was mainly related to positive relations with others and personal growth. Our findings have implications for research on teacher well-being as well as for the design of professional development programs for higher education teaching staff.

Informed study decisions are pivotal for student retention in higher online education. A self-assessment prior to enrolment has been proposed as a promising approach to enable informed decision-making and to build resources for retention. To determine whether such a self-assessment affects the decision-making process as intended, thorough and careful validation is a necessity. This study reports on two validity aspects that are less commonly addressed in that respect, but essential for evaluating effectiveness: response processes and consequences of (self-) testing. To map the response processes and consequences of the current selfassessment, a mixed-methods approach was used in which eight prospective students took a self-assessment in an observed think-aloud mode and were interviewed before and after that. Results show different response processes depending on the type of subtest that is taken. The results also indicate that consequential aspect of validity must be considered in the context of decisionmaking phases. The demonstrated evidence and possible threats to validity are discussed in light of refining the self-assessment and embedding it in counselling practice.