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Fall 2026

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eLearn Conference Workshops

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Workshops are FREE to attendees & include 1 FREE
Registration for the Presenter.

 

Supercharging Your Research with Free AI Tools: A Hands-on Exploration (BYOL-Bring Your Own Laptop)

Abstract: This hands-on session guides researchers through the practical use of free AI tools to enhance their research workflow. Participants will explore a structured, step-by-step use case—from idea framing to writing and visualization—using real tools such as ChatGPT, Elicit, Notebook LM, Gamma, and Napkin AI. The session will introduce AI research assistants, cover tool strengths and limitations, demonstrate workflow-aligned applications, and walk participants through an interactive scenario to apply their learning in real time. Participants should bring their own laptops (BYOL).  Free accounts for most of the tools can be created during the session.

Presenter: Prof. JT Janse van Rensburg brings a unique blend of industry and academic expertise to this workshop on leveraging AI for research. As the AI Forum Education and Awareness Stream Lead at Hollard Insurance, she spearheads initiatives to enhance AI literacy and drive organizational change management, ensuring employees at all levels understand and embrace AI-driven transformation. She also serves as an AI Champion within Hollard’s IT department, bridging the gap between AI capabilities and practical business applications. Her experience extends to talent development, as she manages an IT Graduate Program, cultivating the next generation of IT professionals through agile methodologies and a culture of continuous learning. Prof. Janse van Rensburg is also an Extraordinary Professor in the Technology and Capability research area at Optentia, North-West University, where she supervises postgraduate students in AI and Machine Learning. This dual background, coupled with a track record of publications, mentoring, and leading AI-focused education initiatives, positions her to provide valuable, practical insights into effectively using AI tools for research and navigating the evolving landscape of AI-driven research methodologies.

AI-Powered Instructional Design: Developing Blended Learning Materials for an Academic Reading & Writing Program

Abstract: As education rapidly shifts toward online and blended delivery, instructors must design materials that are not only engaging and adaptable but also pedagogically sound and aligned with institutional goals. This hands-on workshop explores how AI-generated content and online tools can streamline and enhance the development of English for Academic Purposes (EAP) materials that meet these demands. Led by the developers of a successful EAP program, this workshop will detail how the ADDIE instructional design model (Analysis, Design, Development, Implementation, Evaluation) was used to create, pilot, and refine blended learning resources. Throughout this workshop, the presenters will explore the difficulties of designing and implementing educational materials to meet institutional requirements and student specific academic needs. The academic materials discussed in this workshop focus on increasing student awareness, understanding, and confidence in communicating topics related to the United Nations Sustainable Development Goals (SDG) that have gained significant media attention in the past decade across Asia. Participants will gain valuable insights into how online resources and AI tools can be integrated into the design process and will leave with concrete examples and strategies to apply in their own contexts.

Presenters: Andrew Thompson is a university lecturer with an MA in Applied Linguistics from Monash University and a BA in Communications and Sociology from Griffith University, Australia. His current research focus is investigating student learning experiences, interests, and preferences related to blended and online learning.

Andrew Gallacher is a lecturer at Fukuoka Women’s University with a B.Sc. in Psychology and Computer Science and an M.A. in Applied Linguistics and English Language Teaching. His research explores AI-enhanced language learning, with a focus on CALL, curriculum design, vocabulary development, and learner motivation.

AI Through the Lens: Empowering Classrooms with AIThaiGen and CER (Claim-Evidence-Reasoning) Framework

Abstract: This workshop combines artificial intelligence education, computational thinking, and evidence-based reasoning to help educators guide students in understanding how machines interpret image data. Using the AIThaiGen platform, participants explore RGB space, kernel filtering, and classification through real-world datasets. These technical tasks are paired with the Claim-Evidence-Reasoning (CER) framework to support structured argumentation, ethical reflection, and critical thinking. The workshop positions image data as a powerful entry point for teaching data literacy and algorithmic awareness. Participants co-design lesson ideas aligned with digital competency goals, gaining practical tools to foster AI-literate, critically engaged learners.

Presenters: The instructional team brings together expertise in artificial intelligence, mathematics education, and curriculum innovation through a tri-sectoral collaboration. Assoc. Prof. Dr. Panrasee Ritthipravat, a researcher in biomedical engineering at KMUTT, specializes in AI, machine learning, robotics, and image processing. With over 30 publications, her work includes biomedical image analysis using neural networks and the development of AIThaiGen, a web-based platform introducing AI concepts to K–12 students.
She collaborates with Dr. Artorn Nokkaew, a mathematics education researcher whose work focuses on computational thinking, data-informed learning, and inquiry-based reasoning. Dr. Nokkaew’s research advances critical mathematics and interdisciplinary STEM integration, particularly through frameworks like Claim-Evidence-Reasoning (CER). He also holds the position as an academic consultant of a private primary school and leads the AI literacy in primary school level. Together, they work closely with Miss Suparat Chuechote, Head of the Academic Department at Naresuan University Demonstration School, who brings expertise in K–12 curriculum design, particularly in embedding CER and computational tools into math and science learning. Her publications span STEM education, polynomial learning through concept maps, and project-based approaches to computational thinking.
As a team, they combine AI technical fluency, pedagogical research, and classroom-based innovation to support responsible AI literacy and inquiry-driven education across Thai schools.

Assessment Design for Learning in the Age of AI

Abstract: Educators and trainers have been designing assessment for centuries and for the last 20 years or so the problem of identifying plagiarism became very important while assessing students work. Over that period, we identified and developed various strategies and tools to detect and prevent student plagiarism. In the current time and in the age of AI it has become very difficult for teachers and trainers to design assessment which will be able to authenticate and measure actual students’ learning. In this workshop the instructors will discuss and explore various ways of designing learning assessment alongside the existence of various AI tools and technologies. A general approach is to avoid measuring learning at lower cognitive levels of memorization etc. Assessments should be designed in a way which will measure higher cognitive levels of learning and associated skills by replicating authentic real-life cases and problems and enabling verifiable evidence-based active learning.

Bio: Currently, Madhumita Bhattacharya and Steven Coombs are co-directors of New Paradigm Solutions Ltd., which is an academic consultancy concentrating on the creative strategies of educational design and management of learning. Previously Prof. Bhattacharya and Prof. Coombs worked at the Tokyo Institute of Technology on the implementation of the new curriculum for undergraduate and graduate engineering education in 2015. They have published extensively in the last 4 decades and held senior academic positions in a number of countries including Singapore, Japan, Canada, US, UK, India, UAE etc. They are the co-ordinators of the AACE SIG for Sustainable Learning Technologies.