Special Issue: Integrating Artificial Intelligence in Online Education: Innovations, Challenges, and Future Directions

Theme and Scope

The convergence of artificial intelligence (AI) and online education is revolutionizing the educational landscape, offering both unprecedented opportunities and significant challenges. AI technologies, including machine learning, natural language processing, and intelligent tutoring systems, have the potential to transform how learners access and engage with educational content, how instructors design and deliver courses, and how institutions assess and support student outcomes. The proliferation of these technologies enables more personalized learning experiences, where content and pacing are adapted in real-time to individual learner needs, abilities, and preferences. AI-driven systems can offer data-driven insights into student progress, enhance engagement through interactive tools, and even automate routine tasks for educators, freeing up time for more meaningful instructional interactions. Despite these promising advancements, the integration of AI into online education raises important questions regarding equity, ethics, and the role of human educators. The deployment of AI in education is not without its challenges—ranging from algorithmic bias and privacy concerns to the risk of deepening the digital divide. Furthermore, the reliance on AI could shift the educational paradigm, potentially reducing the human-centered elements of teaching, such as mentorship, empathy, and nuanced judgment, which are critical to the learning process. It is crucial to explore not only the technological aspects of AI in education but also the broader societal and pedagogical impacts.

This special issue seeks to provide a comprehensive exploration of how AI can be effectively integrated into online education to benefit diverse learners, while also addressing the significant challenges that accompany this technological shift. It aims to present cutting-edge research on AI applications, explore emerging trends, and foster an interdisciplinary dialogue on the long-term implications of AI on education systems. By addressing both the opportunities and risks of AI, this special issue will contribute to a deeper understanding of how to leverage AI in ways that are both innovative and ethically sound, ultimately shaping the future of digital learning environments.

  • AI-Driven Personalization in Online Learning
  • Ethical and Social Implications of AI in Education
  • Innovative AI Applications in Online Teaching and Learning
  • Challenges in Implementing AI in Online Education
  • The Future of AI and Online Education
  • AI and Gamification in Online Education
  • AI in Collaborative Learning Environments
  • AI for Special Education and Inclusive Learning
  • AI and Data Privacy in Online Education


Instructions for Manuscripts

  • Submitted articles must not have been previously published or currently submitted for journal publication elsewhere. Submissions must be directly sent via email to Leading Guest Editor: cinfon@ieee.org
  • All submitted papers must conform to the layout and format guidelines of JIT.


Important Dates

  • Manuscript Submission Due: March 31, 2025
  • Notification of Acceptance/Rejection/Revision: September 30, 2025
  • Final Manuscript Due: December 31, 2025
  • Tentative Publication Date: The 1st quarter, 2027

 

Guest Editors

  • Prof. Chin-Feng Lai
  • Department of Engineering Science, National Cheng Kung University, Taiwan
  • Email: cinfon@ieee.org