Trust and Inclusion in AI-Mediated Education: Where Human Learning Meets Learnin

The Nile on eBay   Trust and Inclusion in AI-Mediated Education by Dora Kourkoulou, Bill Cope, Mary Kalantzis, Anastasia-Olga Tzirides

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.

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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.

Author Biography

Dora Kourkoulou has a PhD in Educational Policy, Organization and Leadership from the University of Illinois at Urbana-Champaign. She works as an Illini Science Policy Scholar with the Illinois Department of Commerce and Economic Opportunity on digital equity initiatives and outreach, and is developing a module on AI literacies for Illinois Extension. She holds an MA in Classical Literature from the University of Athens, Greece and an EdM in Human Resource Education from the University of Illinois. She has conducted ethnographic and interpretive research in and about the design of virtual worlds. Her dissertation, Cyber-Ludic Pedagogies: An Interpretive Framework on Playful Conflict in Video Games and Learning, examined narratives of resistance in and defection from video games, and their public pedagogical implications. Her interests lie in critical code and technology studies, and the intersections between AI computing, playfulness, and inclusive epistemologies in online spaces of action. She has edited a Special Issue for the Journal on Communications and Linguistics Studies titled 'Data, Media, Knowledge'.  Anastasia-Olga (Olnancy) Tzirides holds a Ph.D. in the Learning Design and Leadership Program from the University of Illinois, Urbana-Champaign (UIUC). Her research interests include advanced digital technologies, artificial intelligence, user experience research, learning design, online education, as well as language and culture learning. Her dissertation research project is focused on exploring the potential of advanced digital technologies and artificial intelligence for collaborative language learning utilizing translanguaging and multimodal communication approaches. In the past, she has worked as a teaching assistant and learning designer for online graduate courses in the Learning Design and Leadership Program and the International Studies Program at the College of Education, UIUC. She was also an instructor at the Modern Greek Studies program at the University of Illinois Urbana-Champaign and designed the elementary and intermediate level courses in an online format. Anastasia-Olga also holds a joint Master's degree in Multilingual and Multicultural Education from the Aristotle University of Thessaloniki, Greece and Université du Maine, France, and a Bachelor's degree in Elementary Education from the Aristotle University of Thessaloniki, Greece. Bill Cope is a Professor in the Department of Education Policy, Organization and Leadership, University of Illinois, Urbana-Champaign. His research interests include theories and practices of pedagogy, cultural and linguistic diversity, and new technologies of representation and communication. His recent research has focused on the development of digital writing and assessment technologies, with the support of a number of major grants from the US Department of Education, the Bill and Melinda Gates Foundation, and the National Science Foundation. The result has been the CGScholar multimodal writing and assessment environment. With Mary Kalantzis, he has co-authored or co-edited: New Learning: Elements of a Science of Education (2008/2012); Ubiquitous Learning (2009), Towards a Semantic Web: Connecting Knowledge in Academic Research (2009); Literacies (2012/2016); A Pedagogy of Multiliteracies (2016); E-Learning Ecologies (2017); and the two volume grammar of multimodal meaning, Making Sense and Adding Sense (2020).  Mary Kalantzis was from 2006 to 2016 Dean of the College of Education at the University of Illinois, Urbana-Champaign. Before this, she was Dean of the Faculty of Education, Language and Community Services at RMIT University, Melbourne, Australia, and President of the Australian Council of Deans of Education. With Bill Cope, she has co-authored or co-edited: New Learning: Elements of a Science of Education (2008/2012); Ubiquitous Learning (2009), Towards a Semantic Web: Connecting Knowledge in Academic Research (2009); Literacies (2012/2016); A Pedagogy of Multiliteracies (2016); E-Learning Ecologies (2017); and the two volume grammar of multimodal meaning, Making Sense and Adding Sense (2020). 

Table of Contents

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 odzikowski).- 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).

Details ISBN3031644867 Author Anastasia-Olga Tzirides Publisher Springer International Publishing AG Series Postdigital Science and Education Year 2024 ISBN-13 9783031644863 Format Hardcover Imprint Springer International Publishing AG Subtitle Where Human Learning Meets Learning Machines Place of Publication Cham Country of Publication Switzerland Alternative 9783031644894 Edited by Anastasia-Olga Tzirides Audience Professional & Vocational Edition Description 2024 ed. Edition 2024th Pages 324 Publication Date 2024-09-28 Illustrations 32 Illustrations, color; 10 Illustrations, black and white; XXXI, 324 p. 42 illus., 32 illus. in color. DEWEY 371.33463 We've got this

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