Special issue on AI in Education: Enhancing Learning and Teaching Processes

Special issue on

AI in Education: Enhancing Learning and Teaching Processes

Guest Editors:   

 

Dr. Rahmat Widia Sembiring

Department of Computer and Informatic, Politeknik Negeri Medan, North Sumatra 20155, Indonesia.

 

Dr. Jasni Mohammad Zain

Institute for Big Data Analytics and Artificial Intelligence (IBDAAI), Universiti Teknologi MARA, 40450, Shah Alam, Selangor, Malaysia.

 

Dr. Tao Hai

School of Computer and Information, Qiannan Normal University for Nationalities, Duyun, Guizhou, 558000, China.

The IJMS (Interdisciplinary Journal of Management Studies) is a peer-reviewed open access journal published by the University of Tehran, Iran since the year 2007. The journal publishes scientific papers reporting original research and/or applications in the field of Management Sciences.

Artificial intelligence is revolutionising the field of education by providing creative ways to improve student experiences. The influence of AI on learning outcomes, teaching approaches, and the entire educational environment are the main topics of this paper, which offers a thorough overview of how AI is transforming education. Personalised learning experiences catered to the requirements of each individual student have been made possible by the use of AI in education. Adaptive learning systems driven by artificial intelligence use student performance data to design personalised learning pathways that meet each student's knowledge and speed. But the use of AI in school management also brings up an assortment of moral, legal, and societal concerns.

To ensure that everyone has fair access to high-quality education and to fully realise the promise of AI in education, it will be imperative to address these issues. In summary, artificial intelligence is redefining education by improving student experiences, changing instructional strategies, and streamlining administrative procedures. AI's influence on education is predicted to increase as it develops further, presenting fresh chances to enhance student achievement in the digital era and enhance learning outcomes. AI is revolutionising a number of sectors, especially manufacturing, healthcare, and finance. AI has also become more prevalent in the field of education, especially in educational administration. AI has the potential to boost academic achievement, streamline operations, and improve the learning process. Although the use of AI in school management is still in its infancy, the initial findings are encouraging. For instance, learning systems driven by AI have the ability to tailor the educational experience for each student, offer immediate feedback, and identify any issues before they become serious. In a similar vein, AI can assist teachers in determining the strengths and weaknesses of their students so they may modify their pedagogical approaches.

 

A sector that is currently and is going to continue to be influenced by the advancement of artificial intelligence is education. They next give a quick overview of learning analytics and machine learning, which form the technological basis for AI-based educational applications. This special issue gives an overview of the practical application of AI in various learning environments by examining the available AI educational offerings and services from the perspectives of educators, learners, and educational management. It also acts as a guide for choices regarding the implementation and choice of applications in AI-enabled smart education. Papers are invited that consider, but are not limited to, the following themes:

  1. AI-powered education revolution: a thorough analysis of improving educational opportunities
  2. Perceptions of AI in education to facilitate student-AI cooperation in designing education
  3. Training using artificial intelligence: Prospects and obstacles for sustainable growth
  4. An exhaustive structure for teaching and learning about AI policies at academia
  5. Analysing human intelligence through the lens of artificial intelligence in education
  6. A new method to improving student outcomes and the teaching-learning process
  7. AI's effects on pedagogic and integration to improve learning-teaching
  8. Education with human-focused artificial intelligence: Perceiving the unseen via the visible
  9. Examining the potential and constraints associated with machine learning and artificial intelligence
  10. Potential obstacles, functions, and academic challenges of artificial intelligence in education
  11. AI as a technique to assist teachers' mental processing and instructional practices.

Manuscript Preparation and Submission 

All Manuscripts submitting in the SI should conform to the standard editorial and publication policies as mentioned in the journal. The authors should submit the manuscript via online system at https://ijms.ut.ac.ir/. Please select the article type “SI: AIELTP-2026” when submitting the manuscript.  

 

Important Dates

  • July 15, 2025: Paper submission deadline
  • September 10, 2025: First Notification of Initial review
  • November 15, 2025: Revisions Deadline
  • January 20, 2026: Notification of Acceptance