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Record W4414448712 · doi:10.2196/67775

Balancing Academics and Life: Qualitative Study of Health Professions Students’ Perceptions of a Four-Day Academic Week in the United Arab Emirates

2025· article· en· W4414448712 on OpenAlexvenueno aff
Ashokan Arumugam, Jacqueline Maria Dias, Sangeetha Narasimhan, Raneen Mohammed Qadah, Reime Jamal Shalash, Taif A. M. Omran, Bashair M. Mussa, Basema Saddik, Nadia Rashed Al Mazrouei, S. Ramakrishnan

Bibliographic record

VenueJMIR Medical Education · 2025
Typearticle
Languageen
FieldPsychology
TopicPerfectionism, Procrastination, Anxiety Studies
Canadian institutionsnot available
Fundersnot available
KeywordsQualitative researchHealth professionsPerceptionMental healthWork (physics)Qualitative propertyLearning development

Abstract

fetched live from OpenAlex

Background: Since January 2022, Sharjah in the United Arab Emirates has implemented the 4-day work week model for the first time in the public and private sectors, including universities. While this framework may enhance productivity and work-life balance for many professionals, the current study specifically explores the perceptions of students in medicine, dentistry, and health sciences programs regarding the impact of transitioning from a 5-day to a 4-day work week on their academic performance. Objective: The objective of this study was to explore and analyze the perceptions of students in medicine, dentistry, and health sciences regarding the implementation of a 4-day academic week in the Emirate of Sharjah, United Arab Emirates. Methods: Twenty-four university students (mean age 20.95, SD 1.30 years; 12 men) studying in medicine, dentistry, physiotherapy, nursing, or medical diagnostic imaging programs, who experienced a transition from a 5-day week to a 4-day week, participated in semistructured interviews lasting approximately 20-30 minutes. All interviews were recorded and transcribed verbatim. The Braun and Clarke 6-phase framework of thematic analysis was used. Results: We identified 5 themes: academic journey, academic work-life balance, support systems, classroom dynamics, and common stressors of the 4-day academic week. Overall, most students reported increased motivation, engagement, and academic achievement following the transition from a 5-day to a 4-day week. In addition, participants described a positive academic work-life balance, improved physical and mental well-being, optimal use of time for both academic and personal commitments, favorable support from faculty and family members, and maintained or even improved attendance levels. Nevertheless, some students expressed concerns about condensed schedules and longer days, increased stress, disrupted work-life balance, and inadequate support systems to cope with this new framework. Conclusions: Overall, the 4-day academic week enhanced motivation, academic performance, work-life balance, and the physical and mental well-being of medicine, dental, and health science students. However, some students experienced challenges related to condensed schedules and increased stress. These mixed outcomes highlight that while the 4-day work week offers notable advantages, careful planning and support are essential to mitigate the potential drawbacks and ensure all students can succeed within this new academic framework. Future research could explore strategies to address these challenges and further improve the 4-day week experience for all students.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0110.008
Scholarly communication0.0040.003
Open science0.0020.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.069
GPT teacher head0.498
Teacher spread0.429 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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