Evidence map›Paper›PMID 37937181›Full record

ArticleCureus2023

Flipped Classroom With Artificial Intelligence: Educational Effectiveness of Combining Voice-Over Presentations and AI.

Marcos Sanchez-Gonzalez, Mark Terrell

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
4.1field-weighted citation impact, top 6% of its field
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

6 citing papers in PubMed, 14 citations in OpenAlex.

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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 at 1 institution in 1 country.

Marcos Sanchez-GonzalezHealth Services Administration, Lake Erie College of Osteopathic Medicine, Erie, USA.
Mark TerrellMedical Education, Lake Erie College of Osteopathic Medicine, Erie, USA.
Lake Erie College of Osteopathic Medicine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMost theorists and medical educators agree that a curriculum rich in active learning (AL) strategies, such as a flipped classroom, is superior to passive listening to promote better retention and application of new knowledge. Although AL multimodal teaching strategies have been considered the most effective, including online virtual teaching, voice-over pre-recorded lectures, and, more recently, the addition of artificial intelligence (AI), data on the effectiveness of these methods in medical education is scarce. The present educational research study examined the effectiveness of voice-over-style lectures and AI in facilitating learning outcomes as assessed by test scores after participating in basic science lectures in a medical school setting.

methodsParticipating students were divided equally into two educational strategy groups: slide decks only traditional way (PPT) or PPT plus AI (PPT+AI) platform (edYOU; Los Angeles, CA, USA). The PPT+AI group comprised the PPT with narration and real-time interaction with an AI being personalized, which leverages natural language processing to tailor customized conversations to each student's current knowledge. Students in the two groups were asked to participate in a formative quiz (not reflective of their academic evaluations) to answer questions relevant to voice-over lectures (PPT and PPT+AI). The statistical strategy for conducting quiz item analysis included item difficulty, item discrimination, and point-biserial correlation R. A student's T-test was conducted to compare the two strategies' effectiveness via test scores. A priori, an alpha level of 0.05 was considered significant.

results

Indexed as

ai in medical educationcustomized medical educationhigher education medical trainingmedical education curriculumonline medical education

Identifiers

PMID37937181
PMCPMC10627552
OpenAlexW4388412384

What OpenQuestion holds

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LicenceCC BY
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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.