Evidence map›Paper›PMID 38545130›Full record

ArticleHeliyon2024

Pre-class mode "flipped" again: Making videos instead of just watching them.

Jie Liu, Shiyuan Cao, Xiangfeng Liu, Chengjin Ye, Pierluigi Siano

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Jie LiuSchool of Public Administration, Zhejiang University of Finance and Economics, Hangzhou, Zhejiang, 310018, China.
Shiyuan CaoSchool of Public Administration, Zhejiang University of Finance and Economics, Hangzhou, Zhejiang, 310018, China.
Xiangfeng LiuChina Research Institute of Regulation and Public Policy, Hangzhou, Zhejiang, 310018, China.
Chengjin YeDepartment of Electrical Engineering, Zhejiang University, Hangzhou, Zhejiang, 310027, China.
Pierluigi SianoDepartment of Management & Innovation Systems, University of Salerno, Salerno, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

"Flipped classroom" has subverted the traditional classroom teaching model and is believed to have a positive impact on knowledge acquisition and skill training for higher education students. The pre-class learning phase is considered a key factor in the success of flipped classrooms. However, currently, the pre-class learning phase of flipped classrooms mainly relies on video watching, which makes students passive receivers. Teachers need to invest a lot of time and resources in developing online videos, which greatly increases students' learning time and tasks. This also hinders the promotion of this teaching model. This study designs a pre-active learning strategy based on student participation in video production and a flipped classroom teaching model, and uses questionnaire surveys and interviews to observe students' reactions, explore its impact on students' satisfaction, and empirically analyze the path it affects students' satisfaction. We found that in the pre-class phase, the greater the ease of use and usefulness perceived by students in video production, the higher the students' satisfaction. Perceived enjoyment and perceived value are important intermediary paths. In addition, based on the research results, this study proposes suggestions for a flipped classroom teaching model based on video production. The results of this study will provide important references for the pre-class learning phase of flipped classrooms.

Indexed as

Flipped classroomImproving classroom teachingPost-secondary educationPre-class learning based on video productionTeaching/learning strategies

Identifiers

PMID38545130
PMCPMC10966700

What OpenQuestion holds

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LicenceCC BY-NC
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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.