Predictors of academic performance in the discipline‐specific bioscience paper: a retrospective qualitative study

Khareedi, Rohini

doi:10.1111/eje.12234

Cited by 2 publications

(4 citation statements)

References 34 publications

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“…On the other hand, although other studies have demonstrated that previous academic performance was correlated with students' academic performance (Anderton and Chivers, 2016; Sturges et al, 2016; Khareedi, 2018), the present study shows that this correlation is not consistent. Moreover, in line with the literature, which does not report consistent positive or negative correlations between age (Sheard, 2009; Kötter et al, 2017) and sex (Ari et al, 2010; Voyer and Voyer, 2014; Kötter et al, 2017) and academic performance, the present study does not reveal any association regarding these variables, as well as academic background (admission grade and enrolling program).…”

Section: Discussioncontrasting

confidence: 99%

How Computer‐Assisted Learning Influences Medical Students' Performance in Anatomy Courses

Santos

Carvalho

Tsisar

et al. 2020

Anatomical Sciences Ed

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Anatomy is an essential subject of the medical curriculum. Despite its relevance, the curricular time and logistical resources devoted to teaching anatomy are in decline, favoring the introduction of new pedagogical approaches based on computer‐assisted learning (CAL). This new pedagogical approach provides an insight into students' learning profiles and features, which are correlated with knowledge acquisition. The aim of this study was to understand how training with CAL platforms can influence medical students' anatomy performance. A total of 611 medical students attending Musculoskeletal Anatomy (MA) and Cardiovascular Anatomy (CA) courses were allocated to one of three groups (MA Group, CA Group, and MA + CA Group). An association between the performance in these anatomy courses and the number of CAL training sessions was detected. In the MA Group (r = 0.761, P < 0.001) and the MA + CA Group (r = 0.786, P < 0.001), a large positive correlation was observed between musculoskeletal anatomy performance and the number of CAL training sessions. Similarly, in the CA Group (r = 0.670, P < 0.001) and the MA + CA Group (r = 0.772, P < 0.001), a large positive correlation was observed between cardiovascular anatomy performance and the number of CAL training sessions. Multiple linear regression models were performed, considering either musculoskeletal or cardiovascular anatomy performance as the dependent variable. The results suggest that using CAL platforms to study has a positive dose‐dependent effect on anatomy performance. Understanding students' individual features and academic background may contribute to the optimization of the learning process.

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Section: Discussioncontrasting

confidence: 99%

How Computer‐Assisted Learning Influences Medical Students' Performance in Anatomy Courses

Santos

Carvalho

Tsisar

et al. 2020

Anatomical Sciences Ed

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“…As to the prior performance of the students, the AP in the medical program was increased by almost 6% up on increasing the prior performance by 1% and a research on predictors of AP in the discipline-specific bioscience paper conducted at Auckland University among oral health students revealed that prior academic achievement was a reliable predictor of academic performance. For every unit grade increase in prior achievement, there was an increase by 0.812 in the outcome variable (discipline-specific bioscience paper) [ 9 ]. This is lower compared to the current report which may be related to the expertise or the level of the students’ prior education.…”

Section: Discussionmentioning

confidence: 99%

“…Academic performance (AP) of students is affected by different factors; socio-demographic factors like, financial income and gender were found to be affecting academic performances [ 9 – 12 ]. Some factors like work experience have a positive effect on academic performance and others, like stress, were found to be negatively affecting students’ performance [ 13 , 14 ]. Student performance is correlated with different factors related to prior education, such as entrance qualification, level of prior education and prior achievement [ 9 , 15 , 16 ]. The presence of experienced teachers with higher degrees and technology support, like internet access, enhance student performance [ 17 , 18 ].…”

Section: Introductionmentioning

confidence: 99%

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confidence: 99%

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Assessing predictors of students’ academic performance in Ethiopian new medical schools: a concurrent mixed-method study

Gebru,

Verstegen

2023

BMC Med Educ

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Background Since 2012 the Ethiopian Federal Ministry of Health and Education implemented a new medical curriculum in 13 institutions. The new curriculum introduced some questions on its admission policy: students can join with different educational backgrounds. Students’ performance on qualifying exams and grade point average are lower than desired. Therefore, the aim of the study was to investigate what factors predict the academic performance of students in the New Medical Education Initiative in Ethiopia. Methods A concurrent mixed method of survey and qualitative was used; for the survey, a structured self-administered questionnaire was distributed to students of four randomly selected medical schools from December 2018 to January 2019. The questionnaire includes questions about socio-demographic and educational background of participants. Multiple linear regression analysis was used in order to identify the factors associated with academic performance. In-depth interviews were conducted with 15 key informants to explore qualitatively. Results In the multiple linear regressions, stress was associated with lower academic performance. Students with prior education in the field of health science outperformed students with other bachelors. The cumulative grade point average of the previous bachelor degree and the score on the entrance exam to join medicine also significantly predicted performance. Although some more variables are identified from the qualitative interviews, its findings supported the survey results. Conclusions Of the number of predictor variables analyzed in the model, only stress, prior educational degree, performance in the prior degree and entrance exam score were significantly correlated with the performance of students in their preclinical medical engagement.

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Predictors of academic performance in the discipline‐specific bioscience paper: a retrospective qualitative study

Abstract: Prior academic achievement was the only variable that was demonstrated to be correlated to and predictive of the academic performance in the discipline-specific bioscience paper.

Cited by 2 publications

References 34 publications

How Computer‐Assisted Learning Influences Medical Students' Performance in Anatomy Courses

How Computer‐Assisted Learning Influences Medical Students' Performance in Anatomy Courses

Assessing predictors of students’ academic performance in Ethiopian new medical schools: a concurrent mixed-method study

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