No significant differences emerged between GPT-3.5 Turbo and Claude 3 Opus on affective, collaborative, or performance measures¶
Claim · All claims
Evidence · 1 study · causalr2·q3·i0negligible
Currency · newest study 2025 · not yet checked against its sources · not reviewed by a person · recheck by 2028: tool and model accuracy changes quickly
Subclaims¶
Reading the evidence codes
q is the design tier, i the impact, n the sample, and the kind with its r
the rigour judged within that kind: what each code means.
This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q3 i0 All GPT-3.5 Turbo versus Claude 3 Opus comparisons showed Cohen's d < 0.2 and were not statistically significant. → Fan 2025
Evidence¶
Fan 2025¶
Fan, G., Liu, D., Zhang, R., & Pan, L. (2025). The impact of AI-assisted pair programming on student motivation, programming anxiety, collaborative learning, and programming performance: a comparative study with traditional pair programming and individual approaches. International Journal of STEM Education. https://doi.org/10.1186/s40594-025-00537-3
q3 · i0 · causal · r2
Direct comparison of the two AI-assisted year cohorts (n = 38 GPT-3.5, n = 39 Claude 3) on IMI, PAS, CLS, SPQ, and performance; the largest difference was in anxiety (d = 0.166, p = 0.149), and "Cohen's d < 0.2 for all comparisons" indicated similar impacts.
"The small effect sizes (Cohen's d < 0.2 for all comparisons) suggest that the two AI models had similar impacts on students' affective states, collaborative perceptions, and programming performance."
Discussion¶
Related Claims¶
- On benchmarks, GPT-3.5-turbo outperformed the fine-tuned Phi model in knowledge and story completion, while PhinetunEd scored best in story generation — related
- FSM-based evaluation discriminates interactive quality across models, with GPT-5 Mini scoring highest and most tiers significantly separated — related
- In blind verification, model selection matters more than source type: Bradley-Terry ranking interleaves human coders and LLMs, with per-model win rates spanning significant human advantage to numerical LLM advantage — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
no-difference-gpt35-turbo-claude3-opus |
title |
No significant differences emerged between GPT-3.5 Turbo and Claude 3 Opus on affective, collaborative, or performance measures |
description |
No significant differences emerged between GPT-3.5 Turbo and Claude 3 Opus on affective, collaborative, or performance measures |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2025 |
recheck_by |
2028 |
generated |
by process:wiki-ingest on 2026-10-15 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — fan-2025 |
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