Teachers' confidence and interest in ML integration progressively increased from the Teachers-as-Learners to the Teachers-as-Designers session.¶
Claim · All claims
Evidence · 1 study · designr2·q2
Currency · newest study 2023 · 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? Teacher confidence and interest in ML integration rose progressively across the two PD sessions. → Jingwan Tang 2023
Evidence¶
Jingwan Tang 2023¶
Jingwan Tang, Xiaofei Zhou, Xiaoyu Wan, Michael Daley, Zhen Bai. (2023). ML4STEM Professional Development Program: Enriching K-12 STEM Teaching with Machine Learning. International Journal of Artificial Intelligence in Education. https://doi.org/10.1007/s40593-022-00292-4
q2 · i? · design · r2
Belief outcomes were measured with a pre/post ML self-efficacy survey (7-point Likert, five items) after TaL and thematic analysis of reflection journals after TaD. The article states confidence and interest "progressively increased through the TaL to TaD sessions"; the results section reporting these tests is beyond the supplied text, so no statistic is available.
"Teachers’ confidence and interest in ML 1 https:// pacifi c- headl and- 34136. herok uapp. com/ 2 https:// augni tionl ab. github. io/ FaceO verlay_ Publi sh/ 187 International Journal of Artificial Intelligence in Education (2023) 33:185–224 1 3 integration progressively increased through the TaL to TaD sessions."
Discussion¶
Related Claims¶
- Short-duration TPACK-based professional development improved teachers' ML knowledge and interest (ML4STEM) — related
- An online PD program using unplugged explainable machine-learning activities increased K–12 educators' AI self-efficacy from below-moderate to above-moderate levels — related
- Teachers in online team-based training reported significantly greater confidence in their technological pedagogical content knowledge after training — related
- The ML4STEM Teachers-as-Learners session significantly increases K-12 STEM teachers' technology knowledge of k-means clustering on five of six assessment questions. — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
ml-confidence-interest-increase |
title |
Teachers' confidence and interest in ML integration progressively increased from the Teachers-as-Learners to the Teachers-as-Designers session. |
description |
Teachers' confidence and interest in ML integration progressively increased from the Teachers-as-Learners to the Teachers-as-Designers session. |
status |
review |
evidence_strength |
weak |
newest_evidence |
2023 |
generated |
by process:wiki-ingest on 2026-10-27 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — jingwan-tang-2023 |
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