Learning from Artificial Intelligence: Pedagogical Futures and Transformative Possibilities

We still have much to learn from the arrival of Artificial Intelligence. Its underlying technologies are three-quarters of a century old now. However, rapid developments in recent years have prompted us to ask urgent questions about the imminent impact of AI on society and education. In an optimistic view, machine learning will support all kinds of human activity, another step in the mechanization of life and automation of work with all the benefits that can accompany that. One of the domains of change will be learning itself, where artificial intelligence can assume the role of a pseudo-teacher. However, in a more sanguine view, AI also brings great challenges to society and education. What is the future of work when so many jobs in the so-called “knowledge economy” will be automated, from legal work, to design work, to copy-writing, to image making, to software development? As for education, what and how do we teach when AI will be so widely integrated into so many jobs? And what parts of the teaching profession itself might be automated—the tediously didactic parts at least? With the pervasive presence of AI, how can we know which parts of a student response were their own and which were generated with AI support? Or will that question even matter? These and other pressing questions about our social and educational futures will be the key themes of this year’s conference.

Themes & Tensions

In addition to the Special Focus, the 2025 conference will include various sub-themes.

THEME 1: CONSIDERING DIGITAL PEDAGOGIES

Sub-theme 1-1: Adoption and Integration of AI Intro Pedagogy

  • Development of AI-assisted e-learning environments
  • Utilization of AI for differentiated and adaptive instruction
  • Integration of virtual assistants, intelligent tutoring, or simulations for enhancing learners’ achievement and motivation
  • Harnessing the potential of ChatGPT and generative AI applications for productive academic purposes
  • Leveraging AI for efficient and effective teaching and learning

Sub-theme 1-2: Emerging Innovative and Transformative e-learning Pedagogies

  • Impacts on the advancement of e-learning and mobile-assisted learning approaches
  • AIoT (artificial intelligence of things) and advances in human-technology interfaces
  • AI, robotics, and machine learning programming designs and applications
  • Instruction on programming languages for AI applications (e.g., Python)
  • Creating immersive and inclusive experiences for digital landscapes (metaverse)
THEME 2: NEW DIGITAL INSTITUTIONS AND SPACES

Sub-theme 2-1: Critical Stances Towards AI in the Classroom

  • Ethical and transparent use of AI by teachers and students
  • Addressing the impact of clones, deepfakes, and humanization of AI
  • Mitigating the risks of artificial general intelligence (AGI)
  • Confronting bias and unreliability in AI-generated results
  • Development and implementation of AI detection and its consequences

Sub-theme 2-2: Teacher Training in the Era of e-learning

  • Issues of professional development and planning for technology-enabled pedagogies
  • Pre-service and in-service teacher perspectives and beliefs about AI and e-learning
  • Maintaining a caring pedagogy, community of practice, and teacher presence
  • The role of teachers’ technological, pedagogical, and content knowledge (TPACK)
  • Enhancing teacher training through experiential learning models
THEME 3: TECHNOLOGIES OF MEDIATION

Sub-theme 3-1: Impacts of e-learning on Teacher and Student Psychology

  • The impacts on technostress, including overload, insecurity, and uncertainty
  • The addictive, isolating, and stigmatizing effects of digital use
  • The potential therapeutic value of AI in providing counseling, companionship, and coping strategies
  • Satisfaction and thwarting of psychological needs (autonomy, competence, and relatedness)
  • Effects on exhaustion and burnout among teachers and students

Sub-theme 3-2: Impact of AI on Applied Linguistic Applications

  • AI applications for comparative and historical linguistics and language preservation
  • The present and future role of AI in translation and transcription
  • Applications for corpus analysis, computational linguistics, and qualitative data analysis
  • AI innovations for language teaching and learning and student engagement
  • Implications for language analysis (e.g., semantics, syntax, and pragmatics)
THEME 4: DESIGNING SOCIAL TRANSFORMATIONS

Sub-theme 4-1: A Social and Humanistic Perspective Towards AI

  • The role of humans in the development and training of AI
  • Promoting human experiences, emotions, and aesthetics
  • Conceptualizing AI in the context of diversity, equity, and inclusion
  • The potential of AI in narrowing digital divides and combating inequalities
  • A human-centered approach to the ethical development and application of AI

Sub-theme 4-2: Fostering Interdisciplinary and Communities of Practice

  • The universality of technology and implications for interdisciplinary teaching and learning
  • A multiple stakeholder approach for harnessing the advantages of e-learning
  • Assessing innovative applications among the sciences, social sciences, and humanities
  • Sustainability in student and teacher training, employability, and diversification
  • AI-enabled internationalization, globalization, and cross-cultural collaboration

Sub-theme 4-3: Digital Humanities and the Changing Role of Literature

  • AI-assisted literature teaching and learning
  • Assessment and evaluation of AI-assisted content in the study of literature
  • AI-generated content literacy (AI literacy)
  • Innovative uses of AI in literature
  • Big Data, computational intelligence, and literary studies