Call for Book Chapters: AI and Education
Artificial Intelligence and Academic Integrity: Navigating Ethical Challenges of AI in Education
Book Publisher
Overview
Artificial Intelligence in Education (AIED) has been a field of inquiry for more than fifty years. Over the years, It has made significant progress in developing various educational technology tools, systems and applications. Some of these include development and research into Intelligent Tutoring Systems (ITS), User/Learner Modelling applications, Adaptive Learning and Personalisation tools, etc. As the integration of AI becomes more widespread within the higher education sector, it is imperative to ensure that students, academic staff and others are engaging with these tools ethically and responsibly. Various discourses on academic integrity are at the core of integrating AI into education—an embodiment of ethical principles and values underpinning scholarly behaviour. Academic integrity encompasses honesty, integrity, fairness, and intellectual property.
Safeguarding academic integrity involves upholding ethical standards and advocating for the responsible utilisation of AI technologies across diverse educational activities and programmes. This encompasses addressing a range of issues, such as plagiarism and unauthorised collaboration the acceptable use of AI tools in learning and teaching, and advocating for ethical and equitable practices when deploying AI tools to support decision-making.
This book will bring together research on developing, implementing, and evaluating AI systems and tools that support learning and teaching. It seeks contributions that report on the current state of affairs and the future of learning and teaching in the AI era. The book aims to offer valuable resources for university teachers, students, policymakers researchers, and others involved in supporting or overseeing the integration of AI in education.
Goals of the book
- Trace the historical development of AI in Education.
- Report on the contemporary development of AI applications and research in teaching and learning.
- Present various real-world cases that illustrate the implementation and impact of AI on teaching and learning environments.
- Report on innovative use of Large Language Models (e.g. ChatGPT) in teaching and learning, identifying opportunities and challenges.
- Creating guidelines, strategies, policies, and procedures for institutions to proactively address AI-enabled academic integrity issues.
- Explore research on user/learner data consent, privacy and confidentiality.
- Discuss the ethical considerations (e.g. fairness, equity, digital divide and digital dividend, privacy, bias, and transparency) in using AI in education.
- Reports on data collection, storage, integration and governance frameworks.
- Describe the ethical and legal implications of intellectual property in AI-driven research.
- Explore the future of education in an era of increasing utilisation of Generative AI.
Book Editors
Professor Ben Daniel
Higher Education Development Centre
University of Otago | Te Whare Wānanga o Otāgo
New Zealand | Aotearoa
Corresponding Editor Email: ben.daniel@otago.ac.nz
Dr Ifeoma Adaji
Department of Computer Science
University of British Columbia
Okanagan, Canada
Email: ifeoma.adaji@ubc.ca
Dr Lynnaire Sheridan
Otago Business School
University of Otago | Te Whare Wānanga o Otāgo
New Zealand | Aotearoa
Email: lynnaire.sheridan@otago.ac.nz
Nathalie Wierdak
Otago Business School
University of Otago | Te Whare Wānanga o Otāgo
New Zealand | Aotearoa
Email: nathalie.wierdak@otago.ac.nz
The proposed deadlines are as follows:
- 30 Nov 2023—submission of abstracts of chapters. Please note an abstract needs to state the aim(s) and objective(s) of the chapter and possibility a tentative outline of the chapter or themes that will be covered (500-700 words)
- 7 December 2023—abstracts review outcomes sent to potential contributors
- 5 April 2024—full chapter submission to editors and sent for peer review
- 20 May 2024—Results of peer-review of chapters sent to authors
- 30 October 2024—submission of accepted revised chapters to the editors
- 10 December 2024—submission of the complete book to the publisher
Interested authors are invited to submit chapter abstract(s) to the emails below:
ben.daniel@otago.ac.nz
