Thematic analysis identified three outcomes: AI concepts became explainable and learnable, participants gained enhanced understanding of classification processes, and participants valued the practical applicability of unplugged approaches¶

Claim · All claims
Evidence · 1 study · design r2 · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? Thematic analysis of participant data revealed three key outcomes: explainable and learnable AI concepts, enhanced understanding of classification processes, and valued practical applicability of unplugged approaches. → Sung 2026

Evidence¶

Sung 2026¶

Sung, W., & Gunpinar, Y. (2026). Bringing Artificial Intelligence Literacy Into Online Education: Machine-Learning Integration Through Geometry in K–12 Teacher Professional Development. The International Review of Research in Open and Distributed Learning, 27(2), 21–45. https://doi.org/10.19173/irrodl.v27i2.9140

q2 · i? · design · r2

Qualitative thematic analysis in the ten-educator online PD study. The article names the three outcomes verbatim: "AI concepts became explainable and learnable", enhanced understanding of classification, and valued practical applicability of unplugged approaches.

"Thematic analysis revealed three key outcomes: (a) AI concepts became explainable and learnable, (b) participants gained enhanced understanding of classification processes, and (c) participants valued the practical applicability of unplugged approaches."

Discussion¶

Related Claims¶

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• A hybrid human-AI workflow using GPT-4o with retrieval-augmented generation supported efficient inductive thematic analysis while preserving researcher judgment — 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