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Trust and inclusion in AI-mediated education = where human learning meets learning machines /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Trust and inclusion in AI-mediated education/ edited by Dora Kourkoulou ... [et al.].
其他題名:	where human learning meets learning machines /
其他作者:	Kourkoulou, Dora.
出版者:	Cham :Springer Nature Switzerland : : 2024.,
面頁冊數:	xxxi, 324 p. :ill. (some col.), digital ;24 cm.
內容註:	Part 1 - Tracing AI and learning across disciplines and histories -- CHAPTER 1. Machine Learning and Human Learning (Bill Cope and Mary Kalantzis) -- CHAPTER 2: Exploring the Potential of AI Models in Education: A Post-Phenomenological and Digital Hermeneutic Perspective on Transposition Literacies (Eduardo de Moura Almeida - Rodrigo Abrantes da Silva) -- CHAPTER 3: Re-Introducing Reinforcement Learning Algorithms to Human Learning (Dora Kourkoulou) -- Part 2 - Emerging Debates: this section includes overviews on specialized areas of AI technology and its relationship to learning, such as generative models, Deep learning, explainable AI, and inclusive AI technology -- CHAPTER 4: Generative AI and Its Educational Implications (John T. Behrens, Peter W. Foltz, & Kacper Łodzikowski) -- CHAPTER 5: Deep Learning For Educational Data Science (Juan Pinto, & Luc Paquette) -- CHAPTER 6: A surveyof the use of explainable AI in education (Sophie Liu & Luc Paquette) -- CHAPTER 7: AI and Inclusive Education (Shafagh Hadinezhad, Sourabh Garg, & Robb Lindgren) -- CHAPTER 8: Utilizing VR and AI for training and professional development in education (Akash Shaini and Matthew Montebello) -- Part 3- Research from the field (this part will focus on recent usages of various AI technologies, in learning practices across levels of education) -- CHAPTER 9: Artificial intelligence in translingual language learning (Anastasia O. Tzirides) -- CHAPTER 10: Using Machine-generated Review and Revision in Academic and Technical Writing Courses (Jen Whiting) -- CHAPTER 11: "Mirror, Mirror, on theWall" - Promoting Self-Regulated Learning using Affective States Recognition via Facial Movements (Si Chen, Huang Yun, Yixin Liu, Yuqian Zhou, Yi-Chieh Lee, Risheng Lu) -- CHAPTER 12: Assisting EFL Writers Plan for English Writing Task by ChatGPT (Yu-ling You)
Contained By:	Springer Nature eBook
標題:	Artificial intelligence - Educational applications. -
電子資源:	https://doi.org/10.1007/978-3-031-64487-0
ISBN:	9783031644870

Trust and inclusion in AI-mediated education = where human learning meets learning machines /
Trust and inclusion in AI-mediated educationwhere human learning meets learning machines /[electronic resource] :edited by Dora Kourkoulou ... [et al.]. - Cham :Springer Nature Switzerland :2024. - xxxi, 324 p. :ill. (some col.), digital ;24 cm. - Postdigital science and education,2662-5334. - Postdigital science and education..

Part 1 - Tracing AI and learning across disciplines and histories -- CHAPTER 1. Machine Learning and Human Learning (Bill Cope and Mary Kalantzis) -- CHAPTER 2: Exploring the Potential of AI Models in Education: A Post-Phenomenological and Digital Hermeneutic Perspective on Transposition Literacies (Eduardo de Moura Almeida - Rodrigo Abrantes da Silva) -- CHAPTER 3: Re-Introducing Reinforcement Learning Algorithms to Human Learning (Dora Kourkoulou) -- Part 2 - Emerging Debates: this section includes overviews on specialized areas of AI technology and its relationship to learning, such as generative models, Deep learning, explainable AI, and inclusive AI technology -- CHAPTER 4: Generative AI and Its Educational Implications (John T. Behrens, Peter W. Foltz, & Kacper Łodzikowski) -- CHAPTER 5: Deep Learning For Educational Data Science (Juan Pinto, & Luc Paquette) -- CHAPTER 6: A surveyof the use of explainable AI in education (Sophie Liu & Luc Paquette) -- CHAPTER 7: AI and Inclusive Education (Shafagh Hadinezhad, Sourabh Garg, & Robb Lindgren) -- CHAPTER 8: Utilizing VR and AI for training and professional development in education (Akash Shaini and Matthew Montebello) -- Part 3- Research from the field (this part will focus on recent usages of various AI technologies, in learning practices across levels of education) -- CHAPTER 9: Artificial intelligence in translingual language learning (Anastasia O. Tzirides) -- CHAPTER 10: Using Machine-generated Review and Revision in Academic and Technical Writing Courses (Jen Whiting) -- CHAPTER 11: "Mirror, Mirror, on theWall" - Promoting Self-Regulated Learning using Affective States Recognition via Facial Movements (Si Chen, Huang Yun, Yixin Liu, Yuqian Zhou, Yi-Chieh Lee, Risheng Lu) -- CHAPTER 12: Assisting EFL Writers Plan for English Writing Task by ChatGPT (Yu-ling You)

Trust and Inclusion in AI-Mediated Education: Where Human Learning Meets Learning Machines is a resource for researchers and practitioners in a field where the mainstreaming of AI technologies, and their increased capacities for deception, have produced confusion and fear. Identifying theoretical frameworks and practices in teaching with and training trustworthy and inclusive AI technology sheds light on the new challenges and opportunities for learning machines and their intersections with human learning. The book looks into the history of developing AI technology and algorithms. It offers theoretical models for best practices, interpretation, and evaluation, taking into account especially the needs of contemporary learners and their advanced literacies in cyber-social environments. The book presents in-depth analyses of recent and ongoing applications of state-of-the-art AI technologies in learning environments and classrooms assessments, ending with an interview with George Ritzer on McDonaldization and Artificial Intelligence.

ISBN: 9783031644870

Standard No.: 10.1007/978-3-031-64487-0doiSubjects--Topical Terms:

567577
Artificial intelligence
--Educational applications.

LC Class. No.: LB1028.43

Dewey Class. No.: 371.33463

Trust and inclusion in AI-mediated education = where human learning meets learning machines /
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