Uses of artificial intelligence in STEM education:
Gespeichert in:
| Weitere beteiligte Personen: | , |
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| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Oxford
Oxford University Press
[2024]
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| Schlagwörter: | |
| Links: | https://doi.org/10.1093/oso/9780198882077.001.0001 |
| Abstract: | In the age of rapid technological advancements, the integration of artificial intelligence (AI), machine learning (ML), and large language models (LLMs) in science, technology, engineering, and mathematics (STEM) education has emerged as a transformative force, reshaping pedagogical approaches and assessment methodologies. This book, comprising twenty-six chapters, delves deep into the multifaceted realm of AI-driven STEM education. It begins by exploring the challenges and opportunities of AI-based STEM education, emphasizing the intricate balance between human tasks and technological tools. As the chapters unfold, readers learn about innovative AI applications, from automated scoring systems in biology, chemistry, physics, mathematics, and engineering to intelligent tutors and adaptive learning. The book also touches upon the nuances of AI in supporting diverse learners, including students with learning disabilities, and the ethical considerations surrounding AI's growing influence in educational settings. It showcases the transformative potential of AI in reshaping STEM education, emphasizing the need for adaptive pedagogical strategies that cater to diverse learning needs in an AI-centric world. The chapters further delve into the practical applications of AI, from scoring teacher observations and analyzing classroom videos using neural networks to the broader implications of AI for STEM assessment practices. Concluding with reflections on the new paradigm of AI-based STEM education, this book serves as a comprehensive guide for educators, researchers, and policymakers, offering insights into the future of STEM education in an AI-driven world. |
| Beschreibung: | Bevorzugte Informationsquelle Landing Page (Oxford Academic), da kein Titelblatt vorhanden |
| Umfang: | 1 Online-Ressource |
| ISBN: | 9780191991226 |
| DOI: | 10.1093/oso/9780198882077.001.0001 |
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| 520 | 3 | |a In the age of rapid technological advancements, the integration of artificial intelligence (AI), machine learning (ML), and large language models (LLMs) in science, technology, engineering, and mathematics (STEM) education has emerged as a transformative force, reshaping pedagogical approaches and assessment methodologies. This book, comprising twenty-six chapters, delves deep into the multifaceted realm of AI-driven STEM education. It begins by exploring the challenges and opportunities of AI-based STEM education, emphasizing the intricate balance between human tasks and technological tools. As the chapters unfold, readers learn about innovative AI applications, from automated scoring systems in biology, chemistry, physics, mathematics, and engineering to intelligent tutors and adaptive learning. The book also touches upon the nuances of AI in supporting diverse learners, including students with learning disabilities, and the ethical considerations surrounding AI's growing influence in educational settings. It showcases the transformative potential of AI in reshaping STEM education, emphasizing the need for adaptive pedagogical strategies that cater to diverse learning needs in an AI-centric world. The chapters further delve into the practical applications of AI, from scoring teacher observations and analyzing classroom videos using neural networks to the broader implications of AI for STEM assessment practices. Concluding with reflections on the new paradigm of AI-based STEM education, this book serves as a comprehensive guide for educators, researchers, and policymakers, offering insights into the future of STEM education in an AI-driven world. | |
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| spelling | Uses of artificial intelligence in STEM education Xiaoming Zhai (ed.), Joseph Krajcik (ed.) Oxford Oxford University Press [2024] © 2024 1 Online-Ressource txt rdacontent c rdamedia cr rdacarrier Bevorzugte Informationsquelle Landing Page (Oxford Academic), da kein Titelblatt vorhanden In the age of rapid technological advancements, the integration of artificial intelligence (AI), machine learning (ML), and large language models (LLMs) in science, technology, engineering, and mathematics (STEM) education has emerged as a transformative force, reshaping pedagogical approaches and assessment methodologies. This book, comprising twenty-six chapters, delves deep into the multifaceted realm of AI-driven STEM education. It begins by exploring the challenges and opportunities of AI-based STEM education, emphasizing the intricate balance between human tasks and technological tools. As the chapters unfold, readers learn about innovative AI applications, from automated scoring systems in biology, chemistry, physics, mathematics, and engineering to intelligent tutors and adaptive learning. The book also touches upon the nuances of AI in supporting diverse learners, including students with learning disabilities, and the ethical considerations surrounding AI's growing influence in educational settings. It showcases the transformative potential of AI in reshaping STEM education, emphasizing the need for adaptive pedagogical strategies that cater to diverse learning needs in an AI-centric world. The chapters further delve into the practical applications of AI, from scoring teacher observations and analyzing classroom videos using neural networks to the broader implications of AI for STEM assessment practices. Concluding with reflections on the new paradigm of AI-based STEM education, this book serves as a comprehensive guide for educators, researchers, and policymakers, offering insights into the future of STEM education in an AI-driven world. Artificial intelligence Bildungsstrategien und -politik COMPUTERS / Artificial Intelligence EDUCATION / Educational Policy & Reform / General Educational strategies & policy Künstliche Intelligenz Krajcik, Rastislav 1976- (DE-588)135669227 edt Zhai, Xiaoming edt Erscheint auch als Druck-Ausgabe 978-0-19-888207-7 https://doi.org/10.1093/oso/9780198882077.001.0001 Verlag kostenfrei Volltext |
| spellingShingle | Uses of artificial intelligence in STEM education |
| title | Uses of artificial intelligence in STEM education |
| title_auth | Uses of artificial intelligence in STEM education |
| title_exact_search | Uses of artificial intelligence in STEM education |
| title_full | Uses of artificial intelligence in STEM education Xiaoming Zhai (ed.), Joseph Krajcik (ed.) |
| title_fullStr | Uses of artificial intelligence in STEM education Xiaoming Zhai (ed.), Joseph Krajcik (ed.) |
| title_full_unstemmed | Uses of artificial intelligence in STEM education Xiaoming Zhai (ed.), Joseph Krajcik (ed.) |
| title_short | Uses of artificial intelligence in STEM education |
| title_sort | uses of artificial intelligence in stem education |
| url | https://doi.org/10.1093/oso/9780198882077.001.0001 |
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