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Related Experiment Video

Updated: Apr 2, 2026

Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes
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How does teacher collaboration drive technology adoption? A PLS-SEM analysis of PISA 2022 data.

Rui Liu1, Fan Liu2, Runlin Li1

  • 1School of Intelligent Technology, Geely University of China, Chengdu, China.

Frontiers in Psychology
|April 1, 2026
PubMed
Summary

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Teacher collaboration drives technology adoption through school climate and self-efficacy. This study reveals how social interactions become psychological resources, impacting educators' use of technology.

Area of Science:

  • Educational Technology
  • Social Psychology
  • Organizational Behavior

Background:

  • Teacher collaboration is crucial for educational reform, yet its link to individual technology adoption is unclear.
  • Existing research lacks a framework explaining how social interactions translate into psychological resources for technology use.
  • This study integrates Communities of Practice and Social Cognitive Theory to address this gap.

Purpose of the Study:

  • To investigate the mechanisms linking teacher collaboration to instructional technology adoption.
  • To test a theoretical framework synthesizing social and cognitive factors influencing technology use.
  • To identify the mediating roles of school climate and teacher self-efficacy.

Main Methods:

  • Utilized the PISA 2022 global dataset (N=38,747).
Keywords:
PISAschool climateself-efficacyteacher collaborationtechnology adoption

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  • Employed Partial Least Squares Structural Equation Modeling (PLS-SEM) to test a chain mediation model.
  • Examined teacher collaboration, school climate, and self-efficacy as predictors of technology adoption.

    • Main Results:

    • Teacher collaboration directly and indirectly influences technology adoption.
    • Indirect pathways include mediation by school climate and teacher self-efficacy.
    • A serial pathway shows school climate enhances self-efficacy, further promoting technology adoption.

    Conclusions:

    • The Social-Cognitive Integration Framework explains how social interactions lead to behavioral change.
    • School climate and self-efficacy are key mediators for technology adoption.
    • Teacher education should foster collaboration, and schools should create psychologically safe environments for digital transformation.