Explore the latest advancements in large language models, text generation, and multimodal AI, and how these technologies can be leveraged to create high-quality educational content. Papers should address innovations in automated assessment and feedback mechanisms powered by generative AI, as well as techniques for ensuring the reliability, validity, and fairness of AI-generated educational materials. Submissions may also examine the integration of these AI-powered tools into content creation workflows and their impact on the quality and efficiency of e-learning content development.

• Explore the use of large language models, text generation, and multimodal AI to create high-quality educational content.
• Address innovations in automated assessment, feedback mechanisms, and techniques for ensuring the reliability, validity, and fairness of AI-generated materials.
• Examine the integration of these AI-powered tools into content creation workflows and their impact on the quality and efficiency of e-learning content development.

The development and integration of AI-powered virtual assistants that can help and interact with students, teachers, and other learners. Researchers are encouraged to share their work on the integration of virtual assistants with learning management systems and educational platforms, as well as the evaluation of the pedagogical effectiveness and user experience of these AI-powered educational assistants. Papers may also explore the capabilities, limitations, and ethical considerations surrounding the use of virtual educational assistants.

• The development and integration of AI-powered virtual assistants that can help and interact with students, teachers, and other learners.
• Examples include virtual tutors, teaching assistants, and personalized learning companions that use natural language processing and machine learning to engage with users, provide guidance, and adapt to individual needs.
• Evaluate the effectiveness of these AI-powered educational assistants in terms of their impact on learning outcomes, user experience, and pedagogical value.

The latest advancements in adaptive and personalized learning experiences driven by AI and machine learning. Submissions may highlight the development of immersive and interactive learning environments utilizing virtual/augmented reality and game-based approaches. Additionally, papers in this theme can address the use of AI-powered learning analytics and recommendation systems to enhance learner engagement, personalization, and learning outcomes.

• The latest advancements in adaptive and personalized learning experiences driven by AI and machine learning.
• The development of immersive and interactive learning environments utilizing virtual/augmented reality and game-based approaches.

Papers can explore frameworks and strategies for the responsible and equitable use of AI in educational settings. It may address the ethical challenges of AI, such as bias, privacy, and transparency concerns, and propose solutions for building trust and ensuring human oversight in AI-driven educational applications. Discussions on the societal and pedagogical implications of AI in education are also welcome.

• Explore frameworks and strategies for the responsible and equitable use of AI in educational settings.
• Address ethical challenges such as privacy, transparency, and the potential for misuse, and propose solutions for building trust and ensuring appropriate human oversight.
• Discuss the implications of AI assistants like ChatGPT in educational contexts, including their impact on academic integrity, teaching practices, and student learning.

The integration of AI into corporate training, performance support, and continuing professional development. Papers may showcase successful case studies of leveraging AI for adaptive and self-directed learning in the workplace, as well as discuss the organizational and technological barriers to successful AI implementation in the learning and development (L&D) domain.

• The implementation and integration of AI-powered technologies within corporate training, employee development, and continuing professional education programs.
• Practices for successfully adopting AI-based tools and techniques to enhance the efficiency, personalization, and effectiveness of L&D.
• Explore the organizational and technological barriers that need to be addressed for successful AI integration in corporate learning environments.

Researchers can explore the potential of AI-enabled ecosystems for continuous, adaptive, and personalized learning. Submissions may envision scenarios and provide recommendations for integrating AI to support self-directed and collaborative learning, as well as discuss the role of AI in fostering a culture of lifelong learning and reskilling.

• How AI can be leveraged to support and empower self-directed, collaborative, and continuous learning throughout an individual’s professional and personal life.
• Using AI-driven tools and systems to facilitate personalized learning pathways, and foster a culture of lifelong learning.
• Innovative scenarios and recommendations for integrating AI to enhance the delivery, accessibility, and impact of lifelong learning programs.