Evidence map›Paper›PMID 40564533›Full record

ArticleBehavioral sciences (Basel, Switzerland)2025

Enhancing Prospective Teachers' Professional Development Through Shared Collaborative Lesson Planning.

Chen Guo, Xiangdong Chen, Jiawen Chen

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 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

3 authors.

Chen GuoSchool of Educational and Psychological Science, Hefei Normal University, Hefei 230601, China.ORCID 0000-0003-1061-2206
Xiangdong ChenFaculty of Education, East China Normal University, Shanghai 200062, China.
Jiawen ChenSchool of Artificial Intelligence, Shanghai Normal University Tianhua College, Shanghai 201815, China.

Funding

Ministry of Education 22YJC880006
6 · The paper itself

Abstract

Teacher collaboration, particularly through collaborative lesson planning, plays a key role in fostering professional development and teaching skills. This study investigates the effectiveness of the proposed Shared Collaborative Lesson Planning (SCLP) procedure in enhancing the professional development of prospective teachers through the lens of socially shared regulation of learning (SSRL). Twenty-four prospective information and technology teachers participated in two rounds of SCLP activities. Using a cyclical framework, the prospective teachers engaged in collaborative tasks supported by an online learning platform and other computer-supported collaborative learning (CSCL) tools. Detailed descriptions from observations, recordings, questionnaires, and interviews revealed that the SCLP procedure can help facilitate structured collaboration, improve professional skills, and encourage adaptive regulatory behaviors among the prospective teachers. The integration of CSCL tools further enhanced the effectiveness of the collaborative lesson planning process. However, challenges related to technical proficiency and emotional regulation were identified. The study concludes that the SCLP procedure offers a promising approach for teacher education by fostering a collaborative learning environment and promoting regulatory behaviors. Future research should explore the long-term impacts and adaptability across diverse educational contexts to strengthen teacher education programs or courses.

Indexed as

collaborative lesson planningprospective teachersocially shared regulation of learningteacher education

Identifiers

PMID40564533
PMCPMC12189349

What OpenQuestion holds

Textmetadata
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.