GAI-assisted DST creation produced significantly higher collaborative problem-solving skills than traditional methods among university students¶

Claim · All claims
Evidence · 1 study · causal r2 · q3 · i3 large
Currency · newest study 2025 · checked against its sources 2026-10-16 (automated, 1 of 1 entry) · not reviewed by a person

Subclaims¶

q3 i3 Students who employed GAI tools for DST creation achieved higher overall CPS scores than those using traditional methods, with a large effect size (η² = 0.16). → Wei 2025

q3 i2 The experimental group showed a strong within-group CPS improvement (Cohen's d = 1.18) while the control group showed a moderate improvement (Cohen's d = 0.64). → Wei 2025

Evidence¶

Wei 2025¶

Wei, X., Wang, L., Lee, L.-K., & Liu, R. (2025). The effects of generative AI on collaborative problem-solving and team creativity performance in digital story creation: an experimental study. International Journal of Educational Technology in Higher Education, 22:23. https://doi.org/10.1186/s41239-025-00526-0

q3 · i3 · causal · r2

ANCOVA with pretest CPS as covariate compared 30 experimental (GAI tools) vs 30 control (traditional tools) students in a 20-week randomized design. The article reports "a significant difference between the two groups in students' overall CPS scores (F = 10.69, p < 0.01) with a large effect size (η2 = 0.16)."

"there was a significant difference between the two groups in students' overall CPS scores (F = 10.69, p < 0.01) with a large effect size (η2 = 0.16)"

Studies bearing on this claim¶

Do AI tools in a group's workspace improve its collaborative problem solving, and how does the way a group works with the AI change the result? This table gathers the studies behind this claim and the 9 narrower claims that bear on it: 5 distinct studies (2 causal, 1 qualitative, 1 design, 1 associational), q2–q3, 1 of 5 with an effect size coded. One row per study, codes as each entry records them; no effect is averaged and no verdict is drawn. Built by scripts/synthesize_claim.py from eval/synthesis/; a row that looks wrong is fixed on the claim it comes from.

Discussion¶

Learner Variables¶

• Collaboration — outcome: instruction changes it
• Problem Solving — outcome: instruction changes it

Related Claims¶

• GAI-assisted DST creation significantly enhanced all five CPS sub-dimensions compared to traditional methods — a narrower finding that bears on this claim
• GenAI-assisted education produces significantly higher higher-order thinking abilities than non-GenAI approaches (g = 0.72) — a broader claim this one bears on
• GAI-assisted DST creation produced significantly better team creativity performance than traditional methods, particularly in novelty and user experience — related
• Both instructional groups improved significantly from pre-test to post-test, with larger gains in the generative AI-supported group — related
• Adult learners view AI as a collaborative learning agent for solving complex problems, sharing knowledge, and honing higher-order thinking — related
• Embodied GenAI agents in mixed reality raised engagement and lowered cognitive load for 26 post-secondary learners during collaborative problem-solving — related
• GenAI students collaboratively phrased and troubleshooted questions, with collaborative problem-solving varying substantially between the two genAI groups — related
• Adult learners perceive AI collaborative workspaces as fostering equitable participation and shared responsibility in group problem-solving — related
• Interviews revealed six themes: enhanced efficiency, improved quality, facilitated reflection, increased interaction, improved collaboration, and concerns about over-reliance — related
• The Delegated Reasoning group significantly outperformed the Concerted Interpretation group on collaborative problem-solving task performance — related
• Cluster analysis of student-AI dialogue identifies three distinct collaboration profiles: Delegated Reasoning, Concerted Interpretation, and Delegated Elaboration — related