The ML4STEM Teachers-as-Learners session significantly increases K-12 STEM teachers' technology knowledge of k-means clustering on five of six assessment questions.¶
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
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q2 i? Teachers' scores increased on all six TK questions, with statistically significant pre-to-post gains on five of six questions after the TaL session. → 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
Pre/post assessment study of 18 K-12 STEM teachers in the TaL session, using six open-ended k-means clustering questions scored 0-3 with high inter-rater agreement and paired t-tests. The article reports "a significant increase from pre- to post-test for five out of six questions"; no effect size is printed.
"teachers' scores increased in all the TK assessment questions, and the paired t-test results (Table 6) show a significant increase from pre- to post-test for five out of six questions"
Discussion¶
Related Claims¶
- Short-duration TPACK-based professional development improved teachers' ML knowledge and interest (ML4STEM) — a broader claim this one bears on
- Teachers' confidence and interest in ML integration progressively increased from the Teachers-as-Learners to the Teachers-as-Designers session. — related
- Teachers' post-TaL technology knowledge is not significantly associated with their technology content knowledge. — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
ml4stem-tk-learning-gain |
title |
The ML4STEM Teachers-as-Learners session significantly increases K-12 STEM teachers' technology knowledge of k-means clustering on five of six assessment questions. |
description |
The ML4STEM Teachers-as-Learners session significantly increases K-12 STEM teachers' technology knowledge of k-means clustering on five of six assessment questions. |
status |
review |
evidence_strength |
moderate |
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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