• Design and Development of Online Courseware
• Cognitive Modelling and Intelligent Systems
• Innovative Web-Based Teaching and Learning Technologies
• Digital Curriculum, Collaborative Rich-Media Applications
• Open Education Pedagogies
• Open Educational Resources
• Information and Knowledge Processing
• Collaborative E-Learning, E-Pedagogy

• New Technologies for Massive Open Online Courses (MOOCs)
• Algorithms and Programming for Modelling
• Knowledge Representation and Ontologies
• XR / VR / AR and Mixed Technologies
• New Computer Technologies, Virtual Engineering / Science Laboratory
• Intelligent Virtual Environment
• Highly Interactive Environments / Multimedia
• Advanced Distributed Learning (ADL) Technologies

• New Software Environments for Education & Training
• Computer Graphics, Computer Vision, VR / AR (Augmented Reality) and Mixed-based Applications for Education & Training, Business, Medicine, Industry and other sciences
• Software Computing in Virtual Reality and Artificial Intelligence
• Avatars and Intelligent Agents
• Computer Graphics, Computational Geometry and Computer Vision

• Blockchain Technology in Education
• Data Science and Learning Analytics
• AI in Education
• New Learning Environment: Metaverse
• Cybersecurity Qualifications and Skills

• Reconceptualization Community and the Im/possibility of Building Online Community: Involvement, Performance, Norms, Responsibility, Social Presence, Coalescence, Online Belonging, Social Control
• Electronic Personality / Digital Self and Online Organizational Behaviour: New Online Teaching / Learning Mind Set, Collaborative Learning, Need for Human Contact, Connectedness, Vulnerability, Ethics, Privacy, Online Culture, Methods of Increasing Engagement Online
• Future of Labour Force and Present-day Education
• Pace of Adopting innovation in Online Learning
• Digital Divide and Distance Learning
• Special Needs Virtual Learning

Organizers

Bogdan Simion - Associate Professor, Teaching Stream in Computer Science at University of Toronto, Mississauga.

Florin Pop - Professor at the Computer Science and Engineering Department of National University of Science and Technology POLITEHNICA Bucharest, Romania.

Abstract

The rise of generative AI and Large Language Models (LLMs) has had a transformative effect in many domains of activity. Computer science education is also on the brink of decision-making regarding how to adapt to this new computational landscape. Early instructor attitudes aimed to either ban these tools or figure out how to embrace them effectively and incorporate them into teaching. Several studies have been published recently ranging from analyzing instructor attitudes towards LLMs and student attitudes and trust in LLMs, to exploring opportunities to leverage LLMs for automatic problem generation, automated grading, accessible feedback, support for debugging, and many more. In this talk, I will discuss these aspects and the evolution of perceptions and use cases of LLMs in computer science education. The talk will be an opportunity for participants to reflect on their practices and future plans with respect to generative AI and LLMs.