Claims

Prior programming experience significantly predicted Promptly task performance and prompting self-efficacy

Claim · All claims
Evidence · 1 study · causal r2 · q3
Currency · newest study 2026 · 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? Prior programming experience was a significant predictor of task performance (B = 0.563, p = 0.021) and of prompting self-efficacy (B = 1.178, p < 0.001) in the mixed-effects models. → Keith Tran 2026

Evidence

Keith Tran 2026

Keith Tran, Samiha Marwan, and Thomas Price. (2026). Teaching Prompt-Based Programming with LLMs: A 45-Minute Lesson with Guided Practice for End-User Programmers. https://arxiv.org/abs/2606.30547 doi:10.48550/arxiv.2606.30547

q3 · i? · causal · r2

Covariate analysis within the same randomized controlled study's linear mixed-effects models; experience was a composite of prior courses, programming frequency, and self-assessed comfort, and was also a significant self-efficacy predictor consistent with prior work.

"Prior Programming Experience was a significant predictor of performance (𝐵 = 0.563, 95% CI[0.085, 1.042],𝑝 = 0.021), estimating that each standard deviation of additional experience corresponded to 0.56 more problems solved."

Discussion

Page metadata
Field Value
type claim
id prior-experience-predicts-prompting-outcomes
title Prior programming experience significantly predicted Promptly task performance and prompting self-efficacy
description Prior programming experience significantly predicted Promptly task performance and prompting self-efficacy
status review
evidence_strength moderate
newest_evidence 2026
generated by process:wiki-ingest on 2026-10-11
trust unverified — no one has confirmed this page's content
sources 1 — keith-tran-2026

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