Evidence map›Paper›PMID 40083766›Full record

ArticleFrontiers in psychology2025

A study of the effect of question feedback types on learning engagement in panoramic videos.

Guan Huang, Haohua Zhang, Jingsheng Zeng, Wen Chen

Abstract read
In one paragraph

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

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0cells of the map it votes in
0citing papers in PubMed
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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

4 authors.

Guan HuangCollege of Education, China West Normal University, Nanchong, China.
Haohua ZhangCollege of Education, China West Normal University, Nanchong, China.
Jingsheng ZengCollege of Education, China West Normal University, Nanchong, China.
Wen ChenCyberspace Security Academy, Sichuan University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The immersive and interactive nature of panoramic video empowers learners with experiences that are infinitely close to the real environment and increases the use of imagination in learners' knowledge acquisition. Studies have shown that embedding question feedback in traditional educational videos can effectively improve learning. However, little research has been conducted on embedding question feedback in panoramic videos to explore what types of question feedback effectively improve the dimensions of learners' learning engagement and yield better learning experiences and learning effects. Methods: This study embedded questions with feedback within panoramic videos by categorizing feedback into two types: simple feedback and elaborated feedback. Using eye tracking, brainwave meters, and subjective questionnaires as measurement tools, this study investigated which type of question feedback embedded in panoramic videos improved various dimensions of learner engagement and academic performance. Participants ( Results: The results of the study showed that (1) the experimental group significantly improved in cognitive engagement, behavioral engagement, and emotional engagement compared to the control group. When the precision of feedback information was greater, the learner's behavioral engagement was greater; however, the precision of feedback information did not significantly affect cognitive and emotional engagement. (2) When the feedback information was more detailed, the learners' academic performance was better. Discussion: The findings of this study can support strategic recommendations for the design and application of panoramic videos.

Indexed as

behavior engagementcognitive engagementemotional engagementpanoramic videoquestion feedback

Identifiers

PMID40083766
PMCPMC11903445

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.