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Stem Education

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Stem Education

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Research Frontiers in Teacher Professional Development in Data Science Literacy

Designs and assesses comprehensive training programs enabling K-12 educators to teach data science concepts and critical data literacy skills.

Pedagogical Translation of Statistical Uncertainty for Non-Experts
Epistemic Shifts in Teaching Computational Thinking Across Disciplines
Teacher Identity Formation in the Data Science Era
Cognitive Load Management in Multimodal Data Visualization Instruction
Bridging Statistical Intuition and Algorithmic Reasoning in Teachers
Affective Barriers to Data Literacy Adoption in Traditional Classrooms
Situated Learning of Causal Inference for Secondary Educators
Communities of Practice in Emerging Data Science Pedagogy
Misconceptions About Machine Learning in K-12 Teacher Preparation
Translational Capacity Building for Data Governance and Ethics

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