Analyze and Predict Student Dropout from Online Programs

Author(s):  
Kyehong Kang ◽  
Sujing Wang
2020 ◽  
Vol 5 (1) ◽  
pp. 74-89
Author(s):  
Hugh Crago

In a seminal 1973 paper, Robert Clark described the very different “cultures” of the first and second year students in a four year clinical psychology PhD programme. The author applies Clark’s template to his own experiences as trainee or trainer in five different counsellor education programmes, one in the US and four in Australia. Each of the programmes, to varying degrees, demonstrates key features of the pattern identified by Clark, where the first year is “therapeutic” and other-oriented, the second is “professional” and self-focused. The author concludes that all the surveyed programmes exhibited some level of “second year crisis”, in which a significant number of students felt abandoned, dissatisfied, or rebellious. The author extends and refines Clark’s developmental analogy (first year = childhood; second year = adolescence) to reflect recent neurological research, in particular, the shift from a right hemisphere-dominant first year of life, prioritising affiliative needs, to a left hemisphere-dominant second year, prioritising autonomy and control. This shift is paralleled later by a more gradual move from a protective, supportive childhood to necessary, but sometimes conflictual, individuation in adolescence. The first two years of a counsellor training programme broadly echo this process, a process exacerbated by the second year internship/placement, in which students must “leave home” and adjust to unfamiliar, potentially less nurturing, authority figures. Finally, the author suggests introducing more rigorous “academic holding” into the first year, and greater attention to “therapeutic holding” of dissident students in the second, hopefully decreasing student dropout, and achieving a better balanced training experience.


Electronics ◽  
2021 ◽  
Vol 10 (14) ◽  
pp. 1701
Author(s):  
Theodor Panagiotakopoulos ◽  
Sotiris Kotsiantis ◽  
Georgios Kostopoulos ◽  
Omiros Iatrellis ◽  
Achilles Kameas

Over recent years, massive open online courses (MOOCs) have gained increasing popularity in the field of online education. Students with different needs and learning specificities are able to attend a wide range of specialized online courses offered by universities and educational institutions. As a result, large amounts of data regarding students’ demographic characteristics, activity patterns, and learning performances are generated and stored in institutional repositories on a daily basis. Unfortunately, a key issue in MOOCs is low completion rates, which directly affect student success. Therefore, it is of utmost importance for educational institutions and faculty members to find more effective practices and reduce non-completer ratios. In this context, the main purpose of the present study is to employ a plethora of state-of-the-art supervised machine learning algorithms for predicting student dropout in a MOOC for smart city professionals at an early stage. The experimental results show that accuracy exceeds 96% based on data collected during the first week of the course, thus enabling effective intervention strategies and support actions.


Author(s):  
Victor M. Hernández-Gantes

The dramatic growth of online education over the past two decades is requiring colleges to make a shift from fragmented approaches to program planning and implementation towards a framework integrating both into a coherent support system. This article provides an overview of an emerging holistic framework for planning and implementation of online programs calling for shared strategic planning needs assessment strategies, and establishing program consensus. Guided by a program vision, curriculum and instructional strategies are identified along with internal and external supports needed for successful implementation. The framework suggests demand-driven strategic planning, benchmarking approaches to implementation practices, and interactive feedback to ensure effective program planning and implementation.


Author(s):  
Lisa Bäulke ◽  
Carola Grunschel ◽  
Markus Dresel

AbstractStudent dropout can be conceptualized as a decision-making process, consisting of different phases. Based on previous literature on student dropout, decision-making, and action-phases, we proposed that the process of developing dropout intentions includes the following phases: non-fit perception, thoughts of quitting/changing, deliberation, information search, and a final decision. In the present cross-sectional study, we empirically investigated if the assumed phases can be distinguished from each other, if the phases follow the presumed order, and whether each phase is associated with certain characteristics. Furthermore, we considered a strict separation between quitting studies completely and changing a major. For this purpose, we analyzed data of N = 1005 students (average age of 23.0 years; 53% female; 47% male) from a German University. By using confirmatory factor analyses, we found the supposed factor structure for the different phases concerning both kinds of dropout, quitting studies, and changing majors. In each process, structural equation modelling indicated positive relations between adjoining phases. The factor values correlated to a substantial amount with an assortment of variables associated with student dropout. On a theoretical level, the conception of different phases of student dropout helps to get a better understanding of regulatory processes in the context of student dropout.


2021 ◽  
Author(s):  
Patrizia Ungar ◽  
Ann-Kathrin Schindler ◽  
Sabine Polujanski ◽  
Thomas Rotthoff

BACKGROUND Medical students are at an increasing risk of depression and burnout during their study period. This trend among future physicians is a cause for concern, given the great responsibility that the medical profession entails. Medical faculties therefore play a significant role in supporting medical students in maintaining their mental health. Especially in the context of the current COVID-19 pandemic, support services that allow greater flexibility in their use become particularly relevant. Online programs can be accessed from anywhere and any time and can be used individually in a safe or well-known setting. From a preventive perspective, individual characteristics that have been shown to be protective of mental health should be addressed in such programs. Before conceptualizing an online program, reviewing existing online programs for medical students is a first relevant step. OBJECTIVE This review provides an overview of the current online programs for medical students to strengthen their mental health by addressing individual characteristics believed to be protective of mental health and addressable in medical curricula. METHODS PubMed, ERIC, Cochrane, and Web of Science were used for a systematic literature search. The programs had to be offered digitally and address medical students. Preventive individual characteristics for mental health were included in the search to provide information on their role in the studies. Publications also should include information on the effectiveness of the respective programs. RESULTS The literature search yielded 592 articles; of them, only nine met the study criteria. The programs found included elements of cognitive-behavioral therapy, mindfulness training, or peer support. Regarding the mental health outcomes, two studies showed a significant reduction in perceived stress and one study indicated a reduced level of burnout. One program had significant immediate effects on mindfulness, empathy, and resilience; two studies indicated strengthening coping strategies. Two programs were qualitatively assessed as helpful. One study is still ongoing. CONCLUSIONS Only a few studies have assessed the effectiveness of online programs to strengthen medical students’ mental health. The programs found mostly addressed preventive individual characteristics but were not developed on the basis of a survey of medical students’ demands. Furthermore, they were provided as add-on programs; integration of such programs into the curriculum may highlight the relevance of mental health. For the development of future online programs, the concrete needs of the respective target group should be surveyed and taken into account. Based on this, suitable online programs can be developed in a targeted way to strengthen mental health by addressing preventive individual characteristics. This needs-based prevention approach can support health-promoting education of future physicians.


2018 ◽  
Vol 7 (2) ◽  
pp. 191 ◽  
Author(s):  
Jeje Moses Okurut

The impact of automatic promotion practice on students dropping out of Uganda’s primary education was assessed using propensity score in difference in differences analysis technique. The analysis strategy was instrumental in addressing the selection bias problem, as well as biases arising from common trends over time, and permanent latent differences between the treated and control groups. Probit regression results indicate a negative effect on the probability of students dropping out, but only at P3. There seems to be no policy effect at P6. Decomposing the effect incidence along school location shows the policy as having had an effect only on P3 students studying in urban schools; otherwise, there is no effect among students at P3 rural, P6 rural or P6 Urban. In terms of the gender component, automatic promotion appears to have had an effect on P3 male and female students and no effect on either sex at P6.


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