Collaboration scripts in computer-supported collaborative learning: a systematic review from 2011 to 2024

Area of Science:

• Educational Technology
• Learning Sciences
• Human-Computer Interaction

Background:

• Computer-Supported Collaborative Learning (CSCL) faces challenges like unequal participation.
• Collaboration scripts offer structured guidance to regulate group work.
• A comprehensive synthesis of recent empirical evidence on collaboration scripts is needed.

Purpose of the Study:

• To systematically review empirical studies on collaboration scripts in CSCL from 2011-2024.
• To examine research characteristics, learning outcomes, measurement, and influencing factors.
• To synthesize findings for theoretical and practical implications in CSCL design.

Main Methods:

• Systematic literature review of 53 peer-reviewed studies.
• Analysis across four dimensions: research characteristics, learning outcomes, measurement, and influencing factors.
• Synthesis of findings to conceptualize collaboration scripts as regulation-distribution mechanisms.

Main Results:

• Publication trends show renewed interest since 2020, with adaptive and AI-supported scripting.
• Collaboration scripts are linked to cognitive and behavioral improvements; affective and skills outcomes are mixed.
• Diverse measurement approaches are used, but single-method assessments persist.
• Script impact depends on alignment between external structures, learner capacity, and context.

Conclusions:

• Collaboration scripts are effective in improving various learning domains within CSCL.
• Adaptive and AI-driven approaches represent a shift towards learner-centered CSCL.
• Future research should focus on optimizing script design and implementation based on contextual factors and learner regulation.