Evidence map›Paper›PMID 40520845›Full record

ArticleCureus2025

Enhancing Student Engagement Through Active Teaching-Learning Approaches Among First-Year Medical Undergraduates.

Harish Rangareddy, K S Govinda Swamy, Ashakiran S, Mahalaxmi S Petimani

Abstract read
In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Harish RangareddyBiochemistry, Haveri Institute of Medical Sciences, Haveri, IND.
K S Govinda SwamyBiochemistry, Shimoga Institute of Medical Sciences, Shimoga, IND.
Ashakiran SBiochemistry, Haveri Institute of Medical Sciences, Haveri, IND.
Mahalaxmi S PetimaniBiochemistry, Haveri Institute of Medical Sciences, Haveri, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Active teaching-learning approaches involve students in the learning process, promoting critical thinking, problem-solving, and knowledge retention. These methods contrast with traditional didactic lectures, which focus on passive listening. This study aims to evaluate the perceptions and effectiveness of active teaching-learning methods among first-year medical students. Methodology A cross-sectional survey of 113 first-year medical students was conducted using a validated questionnaire (Cronbach's alpha = 0.873). Active teaching-learning methods, viz., small group discussions, case-based learning, flipped classroom, and early clinical exposure sessions, were implemented to enhance engagement among first-year MBBS students. The survey collected data on engagement, retention, and critical thinking through Likert-scale questions and open-ended feedback. Data were analyzed using SPSS version 16 (SPSS Inc., Chicago, IL, USA). Results Overall, 79.7% of students agreed that active teaching methods enhanced engagement, while 75.2% reported improved retention. Further, 83.2% felt their clinical reasoning skills benefited. Students emphasized the importance of interactive sessions and real-life clinical case discussions. Conclusions Active teaching-learning approaches improve engagement and critical thinking, aligning with the needs of modern medical education. Integration of these methods into the curriculum, alongside adequate resource allocation, is crucial for long-term success.

Indexed as

active learning methodscritical thinkingmedical student engagementproblem-based learning (pbl)self-directed learning

Identifiers

PMID40520845
PMCPMC12166464

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.