Teacher-created integrated lesson plans showed strong use of familiar CT concepts but automation was the least used concept (3 of 17 plans)¶
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Evidence · 1 study · designr2·q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person
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q2 i? Across 17 lesson plans, algorithms scored highest (mean 2.27 of 3) among CT concepts while automation scored lowest (mean 0.6), and only 3 of 17 plans used automation, via loops and functions. → Lauren E. Margulieux · Brendan D. Calandra · Bryan Cox 2026
Evidence¶
Lauren E. Margulieux · Brendan D. Calandra · Bryan Cox 2026¶
Lauren E. Margulieux · Brendan D. Calandra · Bryan Cox. (2026). Online professional development to support K‑12 teachers' computer science integration. Education Tech Research Dev. https://doi.org/10.1007/s11423-026-10640-z
q2 · i? · design · r2
Rubric-based descriptive analysis of 17 teacher-submitted integrated lesson plans (7 science, 5 math, 4 English language arts, 1 social studies), scored 0–3 on CT concepts. The article reports "an average score of 2.27 out of 3" for algorithms and "0.6" for automation; no inferential test was possible.
"Of the four CT concepts, decomposition, abstraction, automation, and algorithms, algorithms appeared most frequently, with an average score of 2.27 out of 3. The mean for automation was 0.6, the lowest mean among the four CT skills"
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Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
lesson-plans-strong-ct-automation-rare |
title |
Teacher-created integrated lesson plans showed strong use of familiar CT concepts but automation was the least used concept (3 of 17 plans) |
description |
Teacher-created integrated lesson plans showed strong use of familiar CT concepts but automation was the least used concept (3 of 17 plans) |
status |
review |
evidence_strength |
weak |
newest_evidence |
2026 |
generated |
by process:wiki-ingest on 2026-10-29 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — lauren-e-margulieux-brendan-d-calandra-bryan-cox-2026 |
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