ICITL 2025
Track on Application and Design of Generative Artificial Intelligence in Education

As we stand on the brink of the fourth industrial revolution, where artificial intelligence is not just an aid but a fundamental component of innovation, the 2025 International Conference of Innovative Technologies and Learning (ICITL 2025) is poised to steer the conversation towards the future of education with a focus on Generative AI (GAI). This workshop is not a peripheral event but a pivotal gathering that will address the heart of how learning can and will transform in the face of rapidly advancing AI technologies.

In pursuit of a diverse and comprehensive examination of GAI in education, we invite submissions under the following themes and categories:

1. Theoretical Foundations and Models:

• Papers that delve into the underlying algorithms, theoretical models, and frameworks that drive generative AI technologies.

2. Ethical, Legal, and Social Implications:

• Contributions exploring the ethical considerations, legal frameworks, and societal impacts of implementing GAI in educational contexts.

3. Technology and Application Innovations:

• Studies and prototypes showcasing novel applications of GAI in learning, including personalized content generation, automated assessment tools, and interactive learning environments.

4. Language Processing and Literacy Development:

• Research on the use of LLMs for language learning, literacy improvement, and the potential for these tools to revolutionize language acquisition and proficiency.

5. Visual Learning and Image Synthesis:

• Papers on the application of text-to-image GAI for enhancing visual learning, creativity, and understanding complex concepts.

6. Speech and Accessibility Technologies:

• Innovations in speech-to-text and text-to-speech technologies, focusing on accessibility and the inclusion of diverse learning populations.

7. GAI in Creativity and the Arts:

• Explorations of GAI's role in fostering creativity and its applications in the arts, music, and literature as educational tools.

8. Data Privacy and Security in GAI-Enabled Learning Environments:

• Discussions on the challenges and solutions related to data privacy and security when integrating GAI into learning systems.

9. GAI in Assessment and Feedback Mechanisms:

• Papers addressing the use of GAI in automating assessments, providing real-time feedback, and the implications for learning outcomes.

10. The Future Classroom: GAI as a Teaching Partner:

• Visions and critical analyses of the role of GAI as a partner in the classroom, augmenting the teacher's role, and facilitating collaborative learning.

Chi-Cheng Chang

National Taiwan Normal University, Taiwan

Hong-Ren Chen

National Taichung University of Education, Taiwan

Ting-Chia Hsu

National Taiwan Normal University, Taiwan

Yueh-Min Huang

National Cheng Kung University, Taiwan

Lusia Maryani Silitonga

Universitas PGRI Semarang, Indonesia