AI in Education: Practical Approaches and Emerging Possibilities

An initiative of The British Academy of Management (BAM) E-Business and Information Systems Management Special Interest Group (SIG) and the IEEE Society on the Social Implications of Technology (SSIT) Socio-Technical Systems Committee

Date / Time

Thursday, Jul 24, 2025 from 7 pm to 9 pm AEST

Overview

This session, comprised of four parts, focuses on the practical and pedagogic dimensions of using AI to enhance teaching and learning.

The British Academy of Management (BAM) E-Business and Information Systems Management Special Interest Group (SIG), in collaboration with the Socio-Technical Systems (STS) Technical Committee of the IEEE Society on the Social Implications of Technology (SSIT), invites colleagues to a webinar exploring the evolving role of artificial intelligence in higher education. As universities adapt to rapid technological change, AI is emerging not only as a tool for automation, but as a catalyst for rethinking how we design, deliver, and support teaching and learning. This session, comprised of four parts, focuses on the practical and pedagogic dimensions of using AI to enhance teaching and learning.

In the first part of the session, Savvas Papagiannidis, Dinara Davlembayeva, Liucen Pan and Davit Marikyan will share insights from their ongoing work on selecting AI tools for pedagogic content creation. As AI becomes increasingly embedded in courses, the ability to make informed choices about these tools is essential for educators. AI has the potential to support more efficient content development, but it also raises pedagogic, ethical, and practical questions, which will be explored during this presentation, with particular focus on the affordances and complexities of AI tools for text, audio, video, and other media formats.

In the second part of the session, Armin Alimardani will offer a closer look at how tailored AI-driven solutions can enhance academic practice, presenting a talk titled “Creating Specialised Chatbots for Education and Research.” This presentation will provide a demonstration of the Safe-to-Fail AI platform, designed to support educators through the provision AI-enabled educational and research tools.

The third part of the session will provide participants with an opportunity to ask questions and share their own experiences and reflections.

The concluding part of the webinar, facilitated by Roba Abbas, will take the form of a collaborative discovery (co-discovery) session, encouraging critical and creative thinking about AI in the context of teaching and learning. Participants will be invited to share their AI literacy wish list, and reflect on the related benefits, concerns and opportunities.

 

Facilitators / Speakers

Savvas Papagiannidis

Savvas is a Professor of Information Systems, Digital Innovation and Transformation. His research interests revolve around electronic business and its various sub-domains and how digital technologies can transform organisations and societies alike. More specifically, his research aims to inform our understanding of how e-business technologies affect the social and business environment, organisational strategies and business models, and how these are implemented in terms of functional innovations (especially in emarketing and ecommerce). His work puts strong emphasis on innovation, new value creation and exploitation of entrepreneurial opportunities, within the context of different industries. Apart from the impact that the Internet and related technologies can have on businesses, he is also very much interested in the impact such technologies can have on individual users.

 

Dinara Davlembayeva

Dinara Davlembayeva is a Lecturer in Digital Business at Newcastle University Business School. Dinara’s research focuses on the use of digital technology from a multi-stakeholder perspective. Her research explores consumers’ experiences, cognitions, and behaviours when interacting on e-commerce and sharing economy platforms, as well as their interactions with innovative technologies such as artificial intelligence (AI), virtual reality (VR), and the metaverse. She incorporates interdisciplinary insights into her investigations. Dinara’s completed research has been published in peer-reviewed journals in Information System Management and Marketing and has been presented at international conferences in these fields.

 

Liucen Pan

Liucen is a Lecturer in Information Systems Management (ISM) at Newcastle University Business School. She completed her PhD in ISM at Warwick Business School (WBS), University of Warwick. Additionally, she holds a Master of Science in International Business from WBS and a Bachelor of Arts in Management from the University of Leicester, UK. As a qualitative researcher, Liucen’s work focuses on exploring how technology management can enhance the digital workplace. Her research interests include IT-enabled Equity, Diversity, and Inclusion (EDI); Digital Work; and the role of Artificial Intelligence (AI) in modern organisations. Her research emphasises leveraging advanced technologies to improve workplace dynamics. Her work has been accepted and presented at prestigious national and international ISM and management conferences (e.g., ICIS, UKAIS, AOM, EGOS). Notably, one of her papers was recently recognised as a Best Paper in Track at the 2024 International Conference of Information Systems conference (ICIS)

 

Davit Marikyan

Davit Marikyan holds a Ph.D. in Management from Newcastle University Business School (UK). Research interests embrace the impact of e-business technologies on organisations and individuals. More specifically, his research revolves around user behaviour in the context of innovative technology utilisation. In his research, Davit explores the psychological and cognitive underpinnings of technology acceptance and adoption in public and private settings. Currently, Davit is working on projects that aim to investigate individuals’ consumption through the lenses of nostalgic experiences. The research works that Davit has undertaken have appeared in several academic journals and have been presented at international conferences.

 

Roba Abbas

Roba Abbas is an Honorary Senior Fellow in the Faculty of Business and Law at the University of Wollongong (UOW), Australia. She is also the Chair of the Technical Activities Executive Committee, and the Socio-Technical Systems Committee, of the IEEE Society on the Social Implications of Technology (SSIT). For almost two decades, Roba has explored the way in which individuals, organisations, and communities design and interact with socio-technical ecosystems and spaces, by advancing collaborative, interdisciplinary approaches to systems design, digital innovation and transformation across diverse application contexts. She has led web design, development and transformation projects in industry, and held research, teaching, governance and leadership roles in academia in multiple Schools and Faculties. Roba previously served as the Co-Editor-in-Chief / Co-Editor of the IEEE Transactions on Technology and Society and was an Associate Editor of the IEEE Technology and Society Magazine. Further information follow the link.

 

Armin Alimardani

Armin Alimardani received the Ph.D. degree in law from the Faculty of Law and Justice, University of New South Wales, Sydney, Australia. He is a Senior Lecturer of Law and Emerging Technologies with the School of Law, University of Wollongong (UOW). His interdisciplinary research sits at the intersection of law, technology, science, and philosophy. His publications and talks address the social, ethical, and legal implications of emerging technologies, such as artificial intelligence (AI), brain-computer technologies, neuroscience, and genetics. From 2024 to 2025, he expanded his scholarly reach and participated in OpenAI Projects as a Consultant. As part of his commitment to shaping the responsible use of AI, he serves as a member of the UOW AI Expert Group, which advises the university on AI policies, ensuring that the institution’s approach to AI is informed by the latest research and ethical standards. He is also a Co-Founder of Safe-to-Fail AI, a platform offering AI-powered educational and research tools developed by his team. These tools are freely accessible and designed to be user-friendly, allowing educators to adopt them without advanced technical knowledge. He has designed and taught novel subjects, such as “Law and Emerging Technologies,” and “AI and the Law.” His current projects involve exploring the potential use of AI in sentencing, assessing AI safety and alignment, developing generative AI benchmarks for the legal domain, and assessing the impact of AI on legal education.