Comparing Dynamic Versus Pre‐Planned Combinations of Individual and Collaborative Learning in a Classroom Experiment

ABSTRACT Background Traditionally, combining individual and collaborative learning happens in a pre‐planned and synchronised manner where the whole class switches between activities at the same time. However, in an era where personalised learning is showing great promise, a more dynamic way of combining the two activities may lead to better learning outcomes and/or be preferred by teachers and students. Objective The current study aims to study teachers' and students' perspectives on two ways of combining individual and collaborative learning, as well as compare their potential differences in learning outcomes. Methods Working with 195 students in 13 middle‐school classes, we conducted an experimental study with two conditions: Dynamic and Standard. The Dynamic condition allows personalized, self‐paced, and real‐time pairing up of students as the need arises in class; in the Standard condition, by contrast, students switch between activities in a pre‐planned manner, which happens at the same time for everyone in the class. We examined students' learning outcomes as the primary dependent measure, complemented by analyses of process data and stakeholder perceptions. Results This study provides one of the first empirical examinations comparing dynamic versus pre‐planned combinations of individual and collaborative learning in authentic classroom settings. By triangulating quantitative learning data with stakeholder insights, we provide valuable findings and design implications for researchers and educational technology practitioners. We found that both conditions supported significant learning gains, with the Standard condition showing greater collaboration efficiency. While learning outcomes were comparable, both teachers and students favoured the dynamic approach for its flexibility and pedagogical value. This study steps closer to the future of highly personalized smart classrooms that can address the unique needs of each student.

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Publication Details

Journal
Journal of Computer Assisted Learning
Published
2025-11-29
DOI
https://doi.org/10.1111/jcal.70158
Primary Topic
Innovative Teaching and Learning Methods
Type
article
Field-Weighted Citation Impact
0.00

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article

Comparing Dynamic Versus Pre‐Planned Combinations of Individual and Collaborative Learning in a Classroom Experiment

Yingying Pan, Kexin Bella Yang, Vincent Aleven, Nikol Rummel et al.
Journal of Computer Assisted Learning
Innovative Teaching and Learning Methods
article

Comparing Dynamic Versus Pre‐Planned Combinations of Individual and Collaborative Learning in a Classroom Experiment

Yingying Pan, Kexin Bella Yang, Vincent Aleven, Nikol Rummel, Menghan Liu
article en

Abstract

ABSTRACT Background Traditionally, combining individual and collaborative learning happens in a pre‐planned and synchronised manner where the whole class switches between activities at the same time. However, in an era where personalised learning is showing great promise, a more dynamic way of combining the two activities may lead to better learning outcomes and/or be preferred by teachers and students. Objective The current study aims to study teachers' and students' perspectives on two ways of combining individual and collaborative learning, as well as compare their potential differences in learning outcomes. Methods Working with 195 students in 13 middle‐school classes, we conducted an experimental study with two conditions: Dynamic and Standard. The Dynamic condition allows personalized, self‐paced, and real‐time pairing up of students as the need arises in class; in the Standard condition, by contrast, students switch between activities in a pre‐planned manner, which happens at the same time for everyone in the class. We examined students' learning outcomes as the primary dependent measure, complemented by analyses of process data and stakeholder perceptions. Results This study provides one of the first empirical examinations comparing dynamic versus pre‐planned combinations of individual and collaborative learning in authentic classroom settings. By triangulating quantitative learning data with stakeholder insights, we provide valuable findings and design implications for researchers and educational technology practitioners. We found that both conditions supported significant learning gains, with the Standard condition showing greater collaboration efficiency. While learning outcomes were comparable, both teachers and students favoured the dynamic approach for its flexibility and pedagogical value. This study steps closer to the future of highly personalized smart classrooms that can address the unique needs of each student.

Journal of Computer Assisted LearningVol. 42(1)
University of Washington (US), University Hospitals of the Ruhr-University of Bochum (DE), Carnegie Mellon University (US), Ruhr University Bochum (DE)
National Science Foundation
Openalex Percentile: Top 59%
Innovative Teaching and Learning Methods
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