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The high dropout rate among online learning students is a serious issue. Using the theory of planned behavior as a framework, this study investigates what effect attitude, opinion of others and perceived ease of online learning technologies leave on Pakistani online students' persistence intentions.

The sample of this study comprises 320 students enrolled at a distance learning university in Pakistan. Online questionnaires are used to gather data for the study. Correlations and regression analysis are run to figure out the effect of independent variables on the dependent variable of the study.

The findings of the study show that 51% variance in online students’ persistence intentions can be explained by personal attitude, subjective norms and perceived behavioral control.

The use of a non-random sampling technique along with a cross-sectional design form the major limitations of the study.

The outcome of the study may help online education providers as well as policymakers to design programs and initiatives to improve students’ retention in online study programs.

The study contributed to the extant literature by finding out Pakistani online students’ persistence behavior is affected by their attitude, subjective norms and perceived ease of online learning. The study also found that the opinion of people closely related to students influences their study persistence decisions.

This study examined the psychometric properties of intention to drop out and study satisfaction measures for first-year South African students. The factorial validity, item bias, measurement invariance and reliability were tested.

A cross-sectional design was used. For the study on intention to drop out, 1,820 first-year students participated, whilst 780 first-year students participated in the study on satisfaction with studies. Confirmatory factor analysis (CFA), differential item functioning (DIF), measurement invariance and internal consistency were used to test the scales.

A one-factor structure was confirmed for both scales. For the intention to drop out scale, Items 3 and 4 were identified with statistically significant item bias; however, these differences had no practical impact. Except for scalar invariance for language, sufficient measurement invariance was established. No problematic items were identified for the study satisfaction scale.

In essence, this study provides evidence of two short measures that are culturally sensitive that could be used as short and valid measures across contextual boundaries as practically valuable tools to measure intention to drop out and study satisfaction in diverse and multicultural contexts.

This study contributes to limited research on bias and invariance analyses for scales that can be used in interventions to identify students at risk of leaving the university and utilising psychometric analyses to ensure the applicability of these two scales in diverse and multicultural settings.

The purpose of this paper is to analyse data on first-year students’ needs regarding academic support services and reasons for their intention to leave the institution prior to degree completion. On the basis of the findings, a digital badge outline is proposed which could contribute to improved communication of academic requirements in order to help students to better adapt to higher education demands. Digital badges might also serve as an indicator for students’ needing additional academic support services.

An online-questionnaire was conducted with 730 first-year students at a German university. Participants’ responses to open-ended questions were coded and categorised. On the basis on these findings, an outline for a digital badge programme is proposed.

Participants seek the most institutional support regarding research skills and organisational aspects. Main reasons for participants’ intention to withdraw from the institution include difficulties with their programme choice.

These findings may enable higher education institutions to provide targeted support services that meet first-year students’ needs. On the basis of the findings, higher education institutions can create digital badge programmes, which may improve communication of academic requirements and may also serve as a platform for a staff-student conversation about expectations and demands for a successful first-year experience. Besides, further research and discussion may address using digital badges for learning analytics algorithms to even better identify students’ strengths and needs for targeted academic support services and enhanced student success in higher education.

Little is known about first-year students’ needs for institutional support and reasons for thinking about dropout in Germany. Understanding the student perspective is crucial for enhancing student retention. Digital badges are an emerging educational technology in higher education and they have the potential to target academic requirements, which may guide first-year students and help them to better adjust to universities’ demands.

The present study investigates the influence of five personality traits based on the Big Five model, i.e. extraversion, neuroticism, conscientiousness, agreeableness and openness to experience and personal innovativeness on learners' intention to complete MOOCs.

The proposed model was empirically tested using cross-sectional design. The primary data were gathered through a survey of 515 students at five higher educational institutions in the National Capital Region of Delhi, India. Structural equation modelling was used to test the hypothesized relationships in the proposed model.

The study has found significant associations between the personality traits, personal innovativeness and MOOC completion intention. The findings indicate that extraversion, conscientiousness, agreeableness, openness to experience and personal innovativeness have significant positive effects whereas neuroticism has no significant effect on MOOCs continuance intention. Personal innovativeness has been found to mediate the relationships between all the personality traits and MOOCs completion intention of learners.

Our findings can potentially address the issue of drop-out rates of MOOCs in developing countries such as India. The findings of the study are helpful for MOOCs providers and other stakeholders. The MOOC developers should develop courses with wide scope so as to accommodate learners with different personality profiles. Additionally, during the enrolment process, MOOC providers can identify the students' attributes through personality tests. This will help in customizing the study material and teaching pedagogy as per the needs of the students.

The study contributes to the growing area of research in MOOCs usage by exploring the influence of personality traits on learners' behaviour towards completing MOOCs. Since the learners' intention to complete MOOCs is a major concern for MOOC developers, hence the present study makes a worthwhile contribution as it is a relatively under-researched area.

This study explored graduate students' academic success by testing a hypothesized model based on the self-determination theory (SDT), which posits that motivation, time management and career aspiration predicts perceived success.

A quantitative methodology was employed to garner data from a population of 324 graduate students, and then analyzed using structural equation modeling in R.

Intrinsic motivation was the strongest motivation type that predicted graduate students' perceived success. Time management was another important predictor of perceived success, while career aspiration did not impact students' perception of success. Doctoral students showed significantly higher relatedness when compared to master degree students. In addition, male students showed significantly higher career aspirations than females, while female students showed significantly higher time management than their male counterparts. The results of this study support the SDT as a framework to understand graduate students' academic success.

Implementing the research findings may increase graduate students' academic success. This study suggests direct ways of increasing graduate students' achievement through intrinsic motivation, time management and autonomy, as well as reducing amotivation (lack of motivation) to indirectly enhance academic success.

This paper aims to address the issue of why students want to drop out from a course and suggests appropriate strategies to enhance student retention.

A sample of 260 hospitality management students were surveyed based on both Tinto's model of student–institution integration and a theory of planned behavior on student departure. The research applies data mining and decision tree using the classification and regression trees (CART) method as an analytic tool to identify a group, discover relationships between groups and predict future events for segmentation.

The results regarding the demographics indicate that the most critical factors of dropout included residency status, financial situation, quality of class and occupation.

This is a limited US sample, based on student perceptions only and not lecturer or institution perceptions.

The paper provides empirical evidence of student perspective along with institutional and learning environment factors. It includes data from students who are currently enrolled (which previous literature has not covered) by testing student–institution integration and planned behavior on student departure.

This study aims to advance the understanding on individual variations in PhD candidates’ personal interest in their doctorate and supervisory and research community support, and several individual and structural attributes potentially having an impact on the profiles.

The authors explored the interrelationship between personal interest – social support profiles, and nationality, gender, research group and study status and the risk of dropping out. A total of 768 PhD candidates from a research-intensive university in Finland responded to a modified version of the cross-cultural doctoral experience survey. Latent profile analysis was used to explore the individual variations in PhD candidates’ interest and support from the supervisor and research community.

Three distinctive PhD interest-social support profiles were detected; the high interest–high support profile (74.4%, n = 570), the high interest–moderate support profile (18.2%, n = 140) and the moderate interest–moderate support profile (7.4%, n = 56). The profiles exhibited high to moderate levels of research, development and instrumental interest. Individuals in the high interest–moderate support and in the moderate interest–moderate support profiles were more prone to consider dropping out from their PhD than in the high interest–high support profile.

The results indicate that by cultivating PhD candidates’ interest and providing sufficient supervisory and the research community offers a means for preventing candidates from discontinuing their doctorate. Hence, building a supportive learning environment that cultivates a PhD candidate’s personal interest is likely to reduce high dropout rates among the candidates.

Previous research has considered human motivation as a determinant of inquisitiveness, learning and innovation. However, how student’s motivation affects both exploitative/exploratory research outcomes has not yet been sufficiently addressed. The purpose of this paper is to examine self-determination theory (SDT) as a conceptual tool to understand post-graduate student’s academic motivation and how it affects two types of ambidextrous outcomes (exploitative and exploratory), and thus posit relational capital as an important mediator in the motivation–innovation process.

The authors draw conclusions using 331 valid post-graduate foreign scholars data collected via online survey in three Chinese Universities and conduct data analysis using the structural equation modeling technique (AMOS).

Results indicate that: academic motivation and perceived collaboration capability both has a significant effect on exploitation behavior; there was no significant relationship between academic motivation and tendency to collaborate with actors within their networks; collaboration capability and exploitation behavior mediate the relationship between academic motivation and exploration behavior; and further a complementary link was found to exist between exploitation behavior and exploration behavior in students attempt to be ambidextrous.

The authors advance innovation research by expanding SDT to include relational perspective as an antecedent of ambidexterity (exploration/exploitation behaviors) and provide new insights into current understanding of research engagement in higher education settings. The authors highlight some implications for educational agencies seeking to promote the emergence of psychological and relational conditions to enhance novelty in post-graduate internationalized education.

This study aims at developing an instrument to measure the latent trait propensity to drop out in face-to-face higher education.

Based on Tinto's student integration theory, a 27-item scale was created to measure student propensity to drop out of undergraduate programs. Item response theory was used to evaluate the psychometric analysis of the items. Furthermore, different methodologies were used to evaluate and provide evidence for content validity, response process validity, internal structure validity and criterion-related validity.

With the support of specialists in the construct, the interpretation of the scores for the use of the scale was defined in four levels of propensity: high, moderate, low and very low.

The latent trait propensity to drop out in face-to-face higher education allows the inclusion of new items and aspects in the instrument. Thus, it can be adapted to distance education.

The students' propensity to drop out score can be useful for researchers and administration units in colleges and universities in the planning of permanent institutional actions and programs to take preventive measures.

Minimize dropout in order to raise the educational level of the population and make better use of the resources invested in education.

This study points out when, why and how propensity to drop out can be measured and how scores can be interpreted in the context of the problem.

Theoretical models of attrition have failed to address the interwoven factors from the perspective of undergraduate students that influence their decision to drop out. The purpose of this paper is to unravel these complexities using a qualitative phenomenological approach to gain systematic descriptions of the experience of non-completion.

Tinto’s (2004) and Bean and Metzner’s (1985) models serve as the theoretical construct for the study’s design and analysis. In-depth interviews were conducted with 41 students who discontinued studies at universities in the United Arab Emirates, to understand the situations that led them to drop out of university and how they experienced this event in their lives.

Several issues were identified as contributing factors for dropping out that are consistent with those found in the international literature. Additional issues were more gender or culture specific and, to some extent, represented the differences that signal a social development that is in a transitional stage. The findings revealed that institutional factors, poor pre-college preparation, environmental factors (work-education conflict), early marriage responsibilities, well-paid job opportunities and financial concerns were most influential.

Despite the limitations of relying on a small sample to generalize findings, the rich detail of this inductive study has added to the understanding of the dropout phenomenon in a new context.

The paper recommends both remedial and early intervention strategies to be undertaken by the Ministry of Education and universities. Remedial strategies include re-examining the desired standard of English as a condition for admission and adjusting the grading system. Early intervention measures that accommodate the needs of at-risk students are also proposed. At local, regional and international levels, higher education should be freed from commodification and inflated fees.

The paper presents a significant departure from the largely North American and European literature on the university dropout, by offering a broader knowledge of this phenomenon in another regional and national context.