Artificial Intelligence in Education

.- Scaffolding Critical Engagement with GenAI: Transforming Ethnic Minority Preparatory Students' Collaborative
Discourse in Prompt Engineering Tasks.
.- From Verdicts to Maps: Reimagining AI Assessment for ADHD through a Strength-Based Lens.
.- BRIDGE the Gap: Mitigating Bias Amplification in Automated Scoring of English Language Learners via Inter-group Data
Augmentation.
.- Decomposing the Fairness Gap: Disentangling Data Scarcity from Validity Bias in AI-Driven Formative Assessment.
.- From Barriers to Actions: A Thematic Analysis of Teachers' Perceived Obstacles and Support Needs for AI Integration in
K-12 Education.
.- How Students Interpret Representational Cues in AI-Generated Educational Illustrations.
.- Evaluating the Impact of Workshop Interventions on AI Literacy and STEM Career Aspirations with Australian
Secondary Students.
.- Implementing a Statewide AI Curriculum: One Brazilian Experience.
.- Modernizing Ground Truth: Four Shifts Toward Improving Reliability and Validity in AI in Education.
.- From Tool to Teammate? Negotiating Accountability and Disclosure in Academic Generative AI Use.
.- Mapping AI Literacy: How Do DigComp 3.0 and OECD/EC AILit Inform K-12 Curriculum Integration Decisions?.
.- A Benchmark for Gender Bias in Large Language Model Feedback on Student Essays.
.- Supporting the Text Entry of nêhiyawêwin for Lifelong Learners.
.- Toward Fair and Scalable Assessment of Socially Shared Regulation of Learning with Large Language Models.
.- From Ethical Discourse to Empirical Evidence: How Ethical Concerns Are Operationalized in Studies on Generative AI in
Higher Education.
.- Territorial Fairness in Large-Scale Academic Risk Prediction: Comparing National and State-Level Machine
Learning Models in Brazil.
.- What Children's AI Literacy Books Teach: A Content Analysis Using the AI4K12 Framework.
.- Community Futures: Hybrid and Situated Critical AI Literacy.
.- What Constitutes AI Harms and/or Unfairness? An Empirical Analysis of Teacher Deliberation with a Fairness
Elicitation Scaffold.
.- A Survey of AI Misconception and Adoption Among Indonesian K-12 Teachers.
.- Mapping AI Literacy in Medical Education: A Review of Concepts and Teaching Practices.
.- Identifying High-Confidence Social Biases in LLMs for Trustworthy Conversational Tutoring Agents.
.- When LLMs Give Voting Advice: Bias, Coherence, and Educational Risk.
.- Personalization over Privacy? Implications of the Privacy-Personalization Trade-Off on Future Use of
Intelligent Tutoring Systems.
.- Introducing Adolescents to the Social Dimensions of AI through Story-Driven Game-Based Learning.
.- Implicit and Explicit Bias Toward English Language Learners in LLM-based Essay Scoring: A Mechanistic Interpretability
Analysis.
.- Biblometrics Insights on the Trends of Artificial Intelligence and Educational Commercialization in Early Childhood Educational Research.
.- Students, AI, and the Future of Higher Education: A Scoping Review of Perceptions and Concerns.
.- Decoding Student Dialogue: A Multi-Dimensional Benchmark and Bias Analysis of Large Language Models as Annotation
Tools.
.- Measuring AI Leadership in Education: Development and Validation of the AI Educational Leadership Scale (AIELS)
for Chinese Educational Leaders.
.- From Speculation to Evaluation: Exploring Values in Design Fictions about AI-Enhanced Education.
.- Offline-First AIED: An Architectural Blueprint for On-Device LLM Integration in Low-Resource Educational Contexts.
.- Towards Elastic Offline-First Applications for AIED Unplugged.
.- When Features Misrepresent Underrepresented Learners: Auditing Algorithmic Bias with Differentially Expressive
Features.
.- Design Tensions for Generative AI in Education for Early to Mid-Adolescent Youth: An Exploration of Autonomy, Critical
Reflection, and Psychological Safety.
.- AI That Helps-or Widens Gaps? Equity Impacts of a Leaching-by-Tearning Tutor in K-12 Mathematics.
.- Kwame 2.0: Human-in-the-Loop Generative AI Teaching Assistant for Large Scale Online Coding Education in Africa.
.- CLUE-AI: A Collaborative Game-Based Learning Approach to Promote Critical Literacy for Uncovering Errors in AI.
.- Fairness Depends on Assessment: Learning by Teaching with Large Language Models.
.- Sociodemographic Biases in Educational Counselling by Large Language Models.