AI for STEAM in Education: Thematic Learning Practice
Uitgelicht
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105,00 |
Naar shop
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105,99 |
Naar shop
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105,99 |
Naar shop
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Beschrijving
Bol
This edited volume explores how artificial intelligence is reshaping education through interdisciplinary, creative, and ethically grounded practices. With a strong focus on conceptual thinking, thematic learning, and STEAM principles, it empowers teachers to foster critical thinking, authentic problem-solving, and inclusive learning methods. This edited volume explores how artificial intelligence is reshaping education through interdisciplinary, creative, and ethically grounded practices. Drawing on the EduSimSTEAM and EduAI projects, this book offers educators practical insights into integrating AI tools across the teaching cycle, from lesson design to student engagement and assessment. With a strong focus on conceptual thinking, thematic learning, and STEAM principles, it empowers teachers to foster critical thinking, authentic problem-solving, and inclusive learning methods. Backed by empirical research and visionary frameworks, this volume is essential for educators, curriculum designers, and policymakers as they work toward an AI-augmented future for Learning.
This edited volume explores how artificial intelligence is reshaping education through interdisciplinary, creative, and ethically grounded practices. With a strong focus on conceptual thinking, thematic learning, and STEAM principles, it empowers teachers to foster critical thinking, authentic problem-solving, and inclusive learning methods. This edited volume explores how artificial intelligence is reshaping education through interdisciplinary, creative, and ethically grounded practices. Drawing on the EduSimSTEAM and EduAI projects, this book offers educators practical insights into integrating AI tools across the teaching cycle, from lesson design to student engagement and assessment. With a strong focus on conceptual thinking, thematic learning, and STEAM principles, it empowers teachers to foster critical thinking, authentic problem-solving, and inclusive learning methods. Backed by empirical research and visionary frameworks, this volume is essential for educators, curriculum designers, and policymakers as they work toward an AI-augmented future for Learning.