Evidence map›Paper›PMID 41333504›Full record

ReviewCureus2025

The Active Classroom: A Narrative Review of Active Teaching Methods and the Flipped Classroom Model in Graduate Medical Education.

Kalyan Kandra, Praneetha Vennam

Abstract readReview
In one paragraph

Review in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Kalyan KandraPsychiatry, Southern Illinois University School of Medicine, Springfield, USA.
Praneetha VennamCenter for Clinical Research, Southern Illinois University School of Medicine, Springfield, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Graduate medical education (GME) is undergoing a significant pedagogical transformation, moving away from traditional, passive learning environments toward more dynamic, learner-centered approaches. This narrative review examines the implementation and impact of active teaching methods in GME, with a specific focus on the flipped classroom model. In this narrative review, we compare and contrast these innovative strategies with traditional didactic lectures, evaluating their effects on learner engagement, knowledge retention, clinical reasoning, and overall satisfaction. Active learning, grounded in constructivist theory, repositions the resident as an active participant in their education, utilizing methods such as case-based learning, team-based learning, and simulation. The flipped classroom, a prominent example, inverts the conventional educational structure by delivering foundational content outside the classroom to reserve in-person time for collaborative problem-solving and application of knowledge. While traditional methods are efficient for information dissemination, evidence suggests that active learning models foster the development of higher-order thinking and essential clinical competencies. Successfully overcoming implementation challenges requires a strategic approach centered on faculty and learner engagement, continuous feedback, and robust institutional support. This review concludes that the adoption of active teaching methodologies is critical for preparing future physicians with the skills necessary to navigate the complexities of modern healthcare.

Indexed as

active learning methodsactive teaching methodscase-based learningflipped classromgraduate medical educationproblem-based learning (pbl)team-based learning (tbl)

Identifiers

PMID41333504
PMCPMC12665511

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.