Teaching experience does not significantly enhance MTES AI-TPACK proficiency, though experienced MTES scored slightly higher on every variable¶
Claim · All claims
Evidence · 1 study · associationalr?·q2
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.
q2 i? Mean scores of experienced MTES were slightly higher than inexperienced MTES on every variable, but teaching experience did not significantly enhance AI-TPACK proficiency. → Meijuan Xie 2025
Evidence¶
Meijuan Xie 2025¶
Meijuan Xie, Liling Luo. (2025). The Status Quo and Future of AI-TPACK for Mathematics Teacher Education Students: A Case Study in Chinese Universities. arXiv. https://arxiv.org/abs/2503.13533 doi:10.48550/arxiv.2503.13533
q2 · i? · associational · r?
Comparison of experienced (with teaching practice in an educational institution) versus inexperienced MTES within the post-test survey (N=412), shown in Fig. 6. No test statistic or effect size was printed for this contrast, so the null finding carries no reported magnitude.
"the mean scores of experienced MTES were slightly higher than those inexperienced on every variables. It has been demonstrated that teaching experience does not significantly enhance teachers’ proficiency in AI-TPACK."
Studies bearing on this claim¶
Does teachers' technology-integration knowledge rise with teaching experience, grade or age, or differ by gender? This table gathers the studies behind this claim and the 4 narrower claims that bear on it: 2 distinct studies (2 associational), q2, 0 of 2 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.
| Study | Design | Effect as recorded | Bears on this claim through |
|---|---|---|---|
| Meijuan Xie 2025 | q2 · associational · r? | i? | this claim; AI-TPACK component scores show no significant differences across MTES grades, while self-e (supports) |
| Sutedjo A 2026 | q2 · associational · r2 | i? | Self-perceived TPACK-21 domain scores do not differ significantly by faculty age group or (supports); Male faculty report modestly higher self-perceived GenAI knowledge than female faculty in (qualifies); Faculty report high self-perceived knowledge in traditional TPACK domains but substantiall (qualifies) |
Discussion¶
Related Claims¶
- Chinese MTES show medium-level AI-TPACK overall, with AI-TK the lowest-scoring component and teaching beliefs the highest, indicating a basic, preliminary stage — related
- Self-perceived TPACK-21 domain scores do not differ significantly by faculty age group or appointment type — related
- AI-TPACK component scores show no significant differences across MTES grades, while self-efficacy and teaching beliefs do differ — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
teaching-experience-no-aick-gain |
title |
Teaching experience does not significantly enhance MTES AI-TPACK proficiency, though experienced MTES scored slightly higher on every variable |
description |
Teaching experience does not significantly enhance MTES AI-TPACK proficiency, though experienced MTES scored slightly higher on every variable |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2025 |
generated |
by process:wiki-ingest on 2026-10-12 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — meijuan-xie-2025 |
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