Evidence map›Paper›PMID 38855256›Full record

ArticlePeerJ. Computer science2024

A review on cultivating effective learning: synthesizing educational theories and virtual reality for enhanced educational experiences.

Fatma Mallek, Tehseen Mazhar, Syed Faisal Abbas Shah, Yazeed Yasin Ghadi, Habib Hamam

Abstract read
In one paragraph

Article in PeerJ. Computer science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

5 authors.

Fatma Mallek *Faculty of Engineering, University de Moncton, Moncton, Canada.
Tehseen Mazhar *Department of Computer Science & Information Technology, Virtual University of Pakistan, Lahore, Pakistan.
Syed Faisal Abbas ShahDepartment of Computer Science & Information Technology, Virtual University of Pakistan, Lahore, Pakistan.
Yazeed Yasin GhadiDepartment of Computer Science and Software Engineering, Al Ain University, Abu Dhabi, United Arab Emirates.
Habib HamamFaculty of Engineering, University de Moncton, Moncton, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immersive technology, especially virtual reality (VR), transforms education. It offers immersive and interactive learning experiences. This study presents a systematic review focusing on VR's integration with educational theories in higher education. The review evaluates the literature on VR applications combined with pedagogical frameworks. It aims to identify effective strategies for enhancing educational experiences through VR. The process involved analyzing studies about VR and educational theories, focusing on methodologies, outcomes, and effectiveness. Findings show that VR improves learning outcomes when aligned with theories such as constructivism, experiential learning, and collaborative learning. These integrations offer personalized, immersive, and interactive learning experiences. The study highlights the importance of incorporating educational principles into VR application development. It suggests a promising direction for future research and implementation in education. This approach aims to maximize VR's pedagogical value, enhancing learning outcomes across educational settings.

Indexed as

Algorithms and analysisAugmented realityAutonomous systemComputer network and communicationEducation sectorEducation technologyEmbedded computingImmersive technologyTeachingVirtual reality

Identifiers

PMID38855256
PMCPMC11157568

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.