The integration of Generative AI into educational settings offers exciting opportunities and significant challenges that are transforming teaching and learning approaches. As these technologies develop, they enable innovative content creation and personalized learning experiences, but also raise critical concerns about the accuracy and reliability of AI-generated content. At ICCE 2024, we invite scholars, educators, and practitioners to submit papers that explore the combination of Generative AI with learning analytics to improve educational strategies and outcomes. We are looking for contributions that improve the precision of AI outputs, tailor AI applications to educational needs, or showcase innovative AI support for personalized learning and teaching.
In this maiden edition, we focus on how Generative AI can be effectively merged with learning analytics to deliver accurate interventions and deepen insights into student engagement, performance, and learning experiences. We welcome submissions that offer practical implementations and theoretical insights into integrating AI into educational practices. Topics might include adapting teaching models to incorporate AI, managing AI's influence on learning environments, evolving assessment landscape in the age of GenAI and addressing the ethical use of AI in education. We encourage you to contribute your research on the effectiveness of AI systems, propose new models for combining AI with learning analytics, or discuss the impact of these technologies on educational settings. This symbiotic relationship is likely to drive the next wave of innovations in educational technology, making learning more personalized, engaging, and effective.
We welcome submissions on some of the following topics (though not restrictive):
LLMs in education.
Learning personalization and adaptive feedback with LLMs.
Students’ motivation and engagement analysis in LLM-assisted learning activities.
GenAI in supporting students with learning disabilities.
Pedagogical approaches to introducing LLMs and managing its effects.
Quality, accuracy, and effectiveness of LLMs in teaching and learning.
Assessments in the era of LLMs in education.
LLM-assisted learning content design.
Frameworks, models and standards for integrating LLM into existing learning tools.
Integrating LLMs into the teaching methods, curriculum and online learning platforms.
Stakeholder awareness on the use, relevance and risk of LLMs in education.
Identifying gaps in education and appropriate use of LLMs.
LLMs and learning analytics.
Ethics, fairness, privacy, equity, diversity, and inclusion aspects.
The workshop will serve as a forum to address the challenges linked to AI-generated inaccuracies, strategies to ensure content relevance and correctness, and the wider implications of AI integration in education.
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Initial paper submission: 5th August, 2024 19th August, 2024
Notification of acceptance: 19th August, 2024 2nd September, 2024
Registration deadline: 16th September, 2024
Camera-Ready deadline: 2nd September, 2024 16th September, 2024
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Full Paper: Presentation: 25 min, Q&A: 5 min
Short Paper: Presentation: 15 min, Q&A: 5 min
09:00 - 09:30: Workshop Introduction & Opening Remarks
Overview of the workshop and key themes
09:30 - 10:30: Paper Presentations - Session 1
Analyzing teacher-student dialogues in online learning environments using AI (Full paper)
AVERY: A GenAI-based Approach to Enhancing Learning Experiences (Full paper)
Supporting Teacher-Student Book Talk and Book Wish Lists with AI-Driven Technology (Full paper)
10:30 - 10:50: Coffee Break
10:50 - 12:20: Panel Discussion
Shaping the Future of Education with Generative AI
Scheduled time: 1 hour 30 min
12:20 - 13:20: Lunch Break
13:20 - 14:50: Paper Presentations - Session 2
How AI Supports Returning Adult Learners in a Developing Economy: Enhancing Academic Writing Through Self-Determination Theory (Full paper)
Developing a multimodal learning analytics approach to examine students’ cognitive presence and metacognition in a metaverse environment (Full paper)
Integrating ChatGPT into Flipped Learning: Enhancing Students’ Creative Writing Skills and Perception (Full paper)
14:50 - 15:10: Coffee Break
15:10 - 16:30: Paper Presentations - Session 3
Competency-based Assessment in the Era of Generative Artificial Intelligence: Perspectives of Selected STEM Educators (Full paper)
A Case Study for Educators with ChatGPT and Plato's Allegory of the Cave (Short paper)
Supporting Students’ Post-Exam Reflection Needs in College Automation Engineering Course Using LLM (Short paper)
Research track:
Full paper: 8-10 pages
Short paper: 5-6 pages
Submit papers using EasyChair: https://easychair.org/conferences/?conf=genaiicce24
All submissions to the workshop must follow the format of the Workshop Proceedings Template (download). Accepted papers will be published in the conference proceedings, which will be submitted to Elsevier for inclusion in Scopus.
Patrick Ocheja (Kyoto University, Japan)
Brendan Flanagan (Kyoto University, Japan)
Yiling Dai (Kyoto University, Japan)
Owen H.T. Lu (National Chengchi University, Taiwan)
Hiroaki Ogata (Kyoto University, Japan)
Joseph F. Agbo (Williamette University, USA)
Davinia Hernandez-Leo (Pompeu Fabra University, Spain)
Vicent Hwang (National Taichung University of Science and Technology, Taiwan)
Solomon Sunday Oyelere (University of Exeter, United Kingdom)
Ismaila Temitayo Sanusi (University of Eastern Finland, Finland)
Kyosuke Takami (National Institute for Education and Policy Research, Japan)
Albert C.M. Yang (National Chung Hsing University, Taiwan)
For more information about GenAI in Education and learning analytics, please refer to the following:
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