Artificial Intelligence and Learning Futures: Critical Narratives of Technology and Imagination in Higher Education

Artificial Intelligence and Learning Futures: Critical Narratives of Technology and Imagination in Higher Education explores the implications of AI adoption in higher education and the challenges to building sustainable instead of dystopic schooling. It examines the development, risks, and opportunities inherent to AI in education and curriculum design, the problematic ideological assumptions of intelligence and technology, and the evidence base and ethical imagination required to responsibly implement these learning technologies.

Format: Hardback
Length: 220 pages
Publication date: 30 November 2022
Publisher: Taylor & Francis Ltd

Artificial Intelligence and Learning Futures: Critical Narratives of Technology and Imagination in Higher Education delves into the profound implications of artificial intelligence (AI) integration in higher education and the formidable challenges posed in constructing sustainable, rather than dystopian, educational systems. In the contemporary landscape of colleges and universities, where AI has seamlessly become an indispensable component of pedagogy and profitability, a crucial and urgent discourse on these systems and algorithms is imperative to resist their potential to facilitate surveillance, control, and oppression. This comprehensive book explores the intricate development, risks, and opportunities inherent in AI in education and curriculum design, critically examining the problematic ideological assumptions surrounding intelligence and technology. It also examines the evidence base and ethical imagination necessary to responsibly implement these learning technologies, ensuring their quality and sustainability. This book is of immense value to leaders, administrators, faculty members, technologists, and designers, as its provocative and accessible ideas offer profound insights into their research, decision-making, and concerns.

Introduction:
The advent of AI has brought about a transformative shift in the educational landscape, reshaping the way we teach and learn. While AI has the potential to revolutionize the way we impart knowledge and enhance student outcomes, it also presents significant challenges and risks. This book aims to explore the critical narratives of technology and imagination in higher education, focusing on the implications of AI adoption and the challenges to building sustainable, rather than dystopian, schooling systems.

Development, Risks, and Opportunities of AI in Education:
Chapter 1: The Development of AI in Education
This chapter provides an overview of the historical development of AI in education, from its early beginnings to the present day. It explores the various technologies and algorithms used in AI, such as machine learning, natural language processing, and computer vision, and their applications in education. The chapter also discusses the challenges and limitations associated with AI development, such as data privacy, bias, and the need for ethical considerations.

Chapter 2: Risks and Challenges of AI in Education
In this chapter, we delve into the potential risks and challenges posed by AI in education. We examine the ways in which AI can be used to facilitate surveillance, control, and oppression, as well as the ways in which it can be used to promote equity, diversity, and inclusion. We also explore the ethical considerations that need to be taken into account when implementing AI in education, such as transparency, accountability, and the protection of student privacy.

Chapter 3: Opportunities of AI in Education
Despite the risks and challenges, AI also presents significant opportunities for education. This chapter explores the ways in which AI can be used to enhance student learning, improve teaching practices, and create new learning experiences. We examine the potential of AI to personalize learning, provide real-time feedback, and facilitate interdisciplinary collaboration. We also discuss the ways in which AI can be used to address educational inequalities and promote lifelong learning.

Problematic Ideological Assumptions of Intelligence and Technology:
Chapter 4: Problematic Ideological Assumptions of Intelligence and Technology
In this chapter, we examine the problematic ideological assumptions that underpin the development and implementation of AI in education. We explore the ways in which these assumptions can perpetuate biases, discrimination, and inequality, and the ways in which they can limit our ability to imagine and create new possibilities for education. We also discuss the need for a more nuanced and critical approach to the development and implementation of AI in education, one that takes into account the diverse perspectives and experiences of students and educators.

Evidence Base and Ethical Imagination for Responsible AI Implementation:
Chapter 5: Evidence Base and Ethical Imagination for Responsible AI Implementation
In this chapter, we explore the evidence base and ethical imagination required for responsible AI implementation in education. We examine the ways in which researchers and practitioners can gather and analyze data to identify potential biases and ethical concerns in AI systems. We also discuss the ways in which educators can use evidence-based practices and ethical imagination to design and implement AI-based learning technologies that promote quality and sustainability.

Conclusion:
In conclusion, Artificial Intelligence and Learning Futures: Critical Narratives of Technology and Imagination in Higher Education provides a comprehensive exploration of the implications of AI adoption in higher education and the challenges to building sustainable, rather than dystopian, schooling systems. By examining the development, risks, and opportunities inherent in AI in education and curriculum design, the problematic ideological assumptions of intelligence and technology, and the evidence base and ethical imagination required to responsibly implement these learning technologies, this book offers valuable insights and perspectives for leaders, administrators, faculty members, technologists, and designers. As AI continues to evolve and shape the future of education, it is essential that we engage in critical discourse and action to ensure that AI is used to promote equity, diversity, and inclusion, and to create new possibilities for learning and growth.

Weight: 432g
Dimension: 159 x 234 x 19 (mm)
ISBN-13: 9781032210636