More years of coding experience were associated with better performance in AI-supported PBL courses (exploratory)¶

Claim · All claims
Evidence · 1 study · design r2 · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? Student-level exploratory OLS found each additional year of coding experience associated with +1.88 points on course score (95% CI [+0.30,+3.46]; p= 0.022). → Micky C. Nnamdi 2026

Evidence¶

Micky C. Nnamdi 2026¶

Micky C. Nnamdi, J. Ben Tamo, Benoit Marteau, Wenqi Shi, May D. Wang. (2026). Advancing Problem-Based Learning in Biomedical Engineering in the Era of Generative AI. arXiv. https://arxiv.org/abs/2503.16558 doi:10.48550/arxiv.2503.16558

q2 · i? · design · r2

Exploratory student-level OLS analysis, visualized in Figure 2 (right panel), relating years of coding experience to course score. The unstandardized slope is "ˆβ= +1.88points per year"; the association is correlational and the authors interpret it conservatively as coding fluency enabling effective GenAI use.

"Students with more years of coding experience tended to perform better, a finding consistent with an exploratory ordinary least squares (OLS) analysis at the student level (slope ˆβ= +1.88points per year; 95 % CI[+0.30,+3.46];p= 0.022)"

Discussion¶

Related Claims¶

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