Medical students in India favor reforms in teaching-learning, clinical training, and evaluation methods
Jha, A.; Goyal, P.; Erry, A.; Renjhen, P.; Jha, R. P.; Gupta, A.; Rajvanshi, U.; Singh, S.
Show abstract
BackgroundDespite the implementation of Competency-Based Medical Education (CBME) in India, there is limited data on the perspectives of students regarding prevailing educational methodologies. MethodsAn observational cross-sectional study was conducted to assess the perception and satisfaction of Indian medical students towards current teaching-learning and assessment methods. Data were collected via an electronic questionnaire, stratified by academic year, and analysed using SPSS. Results(N=413) 45% students expressed a neutral response to the curriculum, with greater satisfaction in the clinical years (44.9%) than pre/para-clinical years (30.7%). Lectures were rated neutral by 53%. Tools like clinical demonstration videos (68.8%) and animated videos (56.7%) were favoured over traditional methods. Outpatient and bedside learning were the preferred practical instruction modes (58.9%), though poor departmental coordination was cited as a significant barrier to clinical learning by 42.5%. Students favoured MCQ-based assessments, complemented by viva-cum-practical (78% in clinical years, 68.8% in pre/para-clinical years), while written long essay-type questions were less preferred. ConclusionsStudents prefer interactive, clinically integrated teaching and MCQ-based assessments. However, as of now, preferences of students seem to differ from reality, especially in developing countries like India. Addressing these concerns and feedback from students can guide in-depth discussions for medical education curriculum reforms in resource-limited settings.
Matching journals
The top 1 journal accounts for 50% of the predicted probability mass.
Similar papers in this journal
- Effect of introducing interprofessional education concepts on students of various healthcare disciplines in the United Arab Emirates 97%
- Improving capacity for advanced training in obstetric surgery: Evaluation of a blended learning approach 96%
- Evaluation of Statistical Illiteracy in Latin American Clinicians and of the Efficacy of a 10-Hour Course 95%
Similar papers in this journal
- Evaluation of Self-Directed Learning Activities at King Abdulaziz University: A Qualitative Study of Faculty Perceptions 97%
- Validation of the patient reported outcome measures tool “Catquest” in Odia language 92%
- Data Driven Monitoring in Community Based Management of SAM children using Psychometric Techniques: An Operational Framework 92%
Similar papers in this journal
- Introducing the 4Ps Model of Transitioning to Distance Learning: a convergent mixed methods study conducted during the COVID-19 pandemic 97%
- Medical Students’ Knowledge, Attitudes, and Motivation towards Antimicrobial Resistance Efforts in Eastern Uganda 95%
- A national professional development program fills mentoring gaps for postdoctoral researchers 95%
Similar papers in this journal
- COVID-19 Advanced Respiratory Care Educational Training Program for Healthcare Workers in Lesotho: An Observational Study 94%
- Calculated grades, predicted grades, forecasted grades and actual A-level grades: Reliability, correlations and predictive validity in medical school applicants, undergraduates, and postgraduates in a time of COVID-19 94%
- Evaluating a first fully automated interview grounded in Multiple Mini Interview (MMI) methodology: results from a feasibility study 93%
Similar papers in this journal
- The PBL teaching method in Neurology Education in the Traditional Chinese Medicine undergraduate students: An Observational Study 94%
- Open Science Practices Among Authors Published in Complementary, Alternative, and Integrative Medicine Journals: An International, Cross-Sectional Survey 91%
- Changes in healthcare workers’ knowledge, attitudes, practices, and stress during the COVID-19 pandemic 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.