AI Literacy Assessment: Self-Reported vs Performance Misalignment
Synthesis Highlights critical misalignment between self-reported AI literacy and actual performance. Teachers overestimate their AI skills by 40% on average. Performance-based assessments correlate better (r=0.72) with classroom AI integration than self-reports (r=0.31). Connecti...
AI literacy-related domains and AI-TPACK readiness among preservice mathematics teachers: A factor-informed structural equation modelling study
Authors: Moeketsi Mosia, Fadip Audu Nannim, Felix Egara Source: Computers and Education: AI, Vol 11 — Open Access (CC BY 4.0) Key Findings SEM study of 130 preservice math teachers in South Africa (Global South context). AI-TPACK readiness explained 53% of variance. Positive asso...
Assessment Validity in AI Education
Synthesis Assessment validity—the degree to which an instrument measures what it claims to measure—is critical in AI education contexts where self-report bias distorts competency evaluation. Zhang et al. (2026) revealed a 40% overestimation gap : teachers' self-reported AI litera...
Cost-of-Ethics Crisis: Beliefs, Decisions, and Justifications in the Job Searches of Computer Science Students in Canada and the United States
Cost-of-Ethics Crisis in CS Education Mohamed Abdalla, Sahar Abdalla, Alicia Cappello et al. (2026) — Study of 129 CS students/recent grads in Canada and US. 📄 Full text (arXiv) Key Findings This study examines the disconnect between ethics education and real-world decision-makin...
Effects of an AI-supported inquiry model on AI literacy and authentic performance: A quasi-experimental study with preservice teachers
Authors: Dongyun Cao, Yuting Yan, Anyuan Xiong, David Wicks Source: Computers and Education: AI, Vol 11 — Open Access (CC BY 4.0) Key Findings Quasi-experimental study with 95 preservice teachers over 10 weeks. QUEST+AI model (Question, Understand, Engage, Solve, Teach) integrate...
K-12 AI Education
Synthesis K-12 AI Education encompasses the integration of artificial intelligence literacy, tools, and pedagogical approaches into primary and secondary education. Recent research reveals three critical pillars: 1. Teacher Preparation Gap Teachers systematically overestimate the...
Teacher AI Competency
Synthesis Teacher AI competency encompasses the knowledge, skills, and dispositions required for effective AI integration in educational contexts. Emerging frameworks identify three competency dimensions: 1. Technical Proficiency Prompt Engineering: Crafting effective prompts for...
Transforming GenAI Policy to Prompting Instruction (RCT)
Transforming GenAI Policy to Prompting Instruction: RCT Synthesis This RCT investigates the impact of transforming institutional GenAI policies into actionable prompting instruction for K-12 educators. Key findings: Policy-to-Practice Gap: Most GenAI policies lack implementation...