Students who attempted more than 90 different exercises achieved significantly higher final grades than students who attempted fewer¶
Claim · All claims
Evidence · 1 study · causalr1·q3
Currency · newest study 2025 · not yet checked against its sources · not reviewed by a person
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 i? In the AY 2023/24 cohort, the 81 students who completed no more than 90 exercises averaged 27.6/30, while the 25 students who solved more than 90 averaged 29.9/30 (p = 0.002). → Letteri 2025
Evidence¶
Letteri 2025¶
Letteri, I. & Vittorini, P. (2025). Enhancing Student Feedback in Data Science Education: Harnessing the Power of AI-Generated Approaches. International Journal of Artificial Intelligence in Education. https://doi.org/10.1007/s40593-025-00492-8
q3 · i? · causal · r1
Grade analysis of the 2023/24 cohort's first exam session, comparing students above and below the 90-exercise threshold; the article reports the difference as "statistically significant (p = 0.002)".
"the 81 students who completed no more than 90 exercises achieved an average grading of 27.6/30; the other 25 students (who solved more than 90 exercises) obtained an average grading of 29.9/30."
Discussion¶
Related Claims¶
- Attempting a new exercise on average increases estimated student ability during formative assessment — related
- LLM-enhanced feedback did not yield a statistically significant improvement in final grades compared with traditional AI feedback — related
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