Introduction

In the ever-evolving landscape of education, the integration of artificial intelligence (AI) and computing technologies has emerged as a transformative force, promising to reshape the future of teaching and learning. This special issue explores the dynamic interplay between technology and education, unraveling the potential, challenges, and innovative solutions that arise as we navigate this digital frontier. Rapid developments in AI and computing technologies have ushered in a new era for education. From intelligent tutoring systems and adaptive learning platforms to virtual and augmented reality applications, these innovations can potentially revolutionize how we approach teaching and learning. This special issue aims to delve into the diverse facets of these technologies, providing a comprehensive understanding of their impact on educational practices.

Recommended topics (but not limited to)

The special issue titled "Transformative Horizons: The Role of AI and Computers in Shaping Future Trends of Education" aims to explore the multifaceted intersection of artificial intelligence (AI) and computing technologies with the field of education. As technology continues to permeate various aspects of society, including education, this special issue seeks to examine how AI and computers shape current educational practices and pave the way for future trends.

Key areas of focus for this special issue include:

• Innovative Applications of AI in Education: Investigating how AI technologies, such as machine learning algorithms and natural language processing, are being applied to enhance teaching, learning, and educational administration.
• Intelligent Tutoring Systems and Adaptive Learning Platforms: Exploring the development and effectiveness of intelligent tutoring systems and adaptive learning platforms that provide personalized learning experiences tailored to individual student needs and learning styles.
• Virtual and Augmented Reality in Education: Examining the use of virtual and augmented reality technologies to create immersive educational experiences, simulations, and interactive learning environments.
• Gamification and Serious Games: Analyzing the use of gamification and serious games to engage learners, motivate participation, and foster skill development in educational settings.
• Big Data Analytics for Educational Insights: Investigating the use of big data analytics to analyze educational data, identify patterns, and gain insights into student learning behaviors, performance trends, and instructional effectiveness.
• Ethical Considerations and Challenges: Addressing ethical considerations, privacy concerns, and equity issues related to implementing AI and computing technologies in education.
• Teacher Professional Development in the Digital Era: Exploring strategies for integrating AI and computing technologies into teacher professional development programs to enhance pedagogical practices and instructional delivery.

Important dates

Submission deadline: 15 February, 2025

Authors notification: 15 May, 2025

Revision submission: 15 July, 2025

Submission guidelines

Original and unpublished works on any of the topics aforementioned or related are welcome. The SCPE journal has a rigorous peer-reviewing process and papers will be reviewed by at least two referees. All submitted papers must be formatted according to the journal's instructions, which can be found here.

During submission please select a Special Issue that you want to submit to and provide this information in the Comments for the Editor field.

Guest Editors

Dr. Sheikh Nasrullah, IBM Research - Almaden, email: sheikh.nasrullahibm@gmail.com

Dr. Nasrullah has completed his Ph.D. from the University of Trento, Italy. He works as a Research Scientist at IBM Research, Almaden, California. His research interests include Graph Machine Learning, Large Graph Analytics, Artificial Intelligence, and Machine Learning. He also worked as an assistant professor at the Central University of Kashmir from February 2012 to December 2015. At IBM, he worked on Developing new scalable Graph Neural Network algorithms for large enterprise knowledge graphs and Conducting Proof-of-concept on real-world data using these algorithms. He has around 25 research articles to his name, which are published in reputed, high-impact journals and indexed by SCI and Scopus. Besides this, he has attended numerous international and national conferences.

Umar Bashir Mir, Lal Bahadur Shastri Institute of Management, Delhi (LBSIM), email: mirumar.iitd@gmail.com

Dr. Umar Bashir Mir is an Assistant Professor specializing in Information Systems and is keenly interested in e-governance, ICT4D, and emerging technologies. He holds a Ph.D. from the Indian Institute of Technology, Delhi, focusing on the framework for global digital identity. With extensive academic and research experience, including roles at Lal Bahadur Shastri Institute of Management and the University of Kashmir, Dr. Mir has contributed significantly to the field through publications in reputable journals and conference presentations. He has received numerous awards and recognitions for his research, including the Research Excellence Travel Award and Full Travel Grant for participation in international conferences. Dr. Mir's expertise extends to service in various institutional committees and volunteer work with the Kashmir Education Initiative. He possesses a diverse skill set in programming languages, frameworks, and tools bolstered by certifications in machine learning and big data analytics.

Dawood Ashraf Khan, Thndr.app, Dubai, UAE, email: dawood.khan@gmail.com

Dawood Khan is a seasoned technology leader with over 20 years of experience in e-commerce, research and development, and machine learning. He has a proven track record of leading cross-functional technology teams, with experience in both startup and large R&D environments. Dawood translates critical goals and customer needs into actionable opportunities, driving technology strategy and product roadmaps. He has expertise in setting technology strategies, driving roadmaps for product portfolios, and collaborating with senior business stakeholders to realize strategic opportunities through product and technology solutions. Dawood's academic background includes a PhD in Computer Science and Engineering from Institut National Polytechnique de Lorraine, an M.S. in Computer Engineering from the University of Engineering and Technology, Taxila, and a B.E. in Information Technology from Hamdard University, Karachi. He has a strong research background with several projects focusing on AI-enabled systems and real-time path planning for UAVs.

Ruby Rani, University of Manchester, Manchester, UK, email: ruby.pnchl@gmail.com

Ruby Rani, Ph.D., currently serves as a KTP Research Associate (Post Doctoral) at the National Centre for Text Mining — NaCTeM, University of Manchester, Manchester, UK, while concurrently holding the position of Technical Project Manager at 10BE5 Ltd., London, UK. With expertise in Natural Language Processing (NLP), she adeptly bridges academia and industry, focusing on impactful solutions at the intersection of AI and text mining. Her research interests encompass Domain-Specific NLP, Social Media Analysis, Information Extraction, Large Language Models, Text Summarisation, Topic Modeling, and Machine Learning. Dr. Rani's extensive work experience includes roles such as Postdoctoral Researcher at the University of Warwick, Coventry, UK. She holds a Doctoral of Philosophy in Computer Science from JawaharLal Nehru University, Delhi, India, with a thesis on Automatic Domain Based Text Summarization for Hindi Language. Dr. Rani has published numerous journal articles, conference papers, and book chapters, demonstrating her contributions to the field. She has also presented her research at various conferences and workshops globally. Additionally, Dr. Rani has received several awards and scholarships in recognition of her academic achievements and has served as a reviewer for prestigious journals and conferences. Proficient in languages such as C, C++, JAVA, Python, and with expertise in database management and relevant libraries.

Oluwatoyin ADELAKUN-ADEYEMO, Bingham University, Karu, Nigeria, email: oluwatoyin.adeyemo@binghamuni.edu.ng

Oluwatoyin Adelakun-Adeyemo is a dedicated educator with a passion for fostering student success through engaging and challenging learning experiences. With a Ph.D. in Computer Science from the University of Ibadan, Nigeria, and an M.A. in Education from the University of South Wales, UK, she has a strong academic background. Adelakun-Adeyemo has extensive experience as a lecturer, software development manager, and researcher, with notable contributions to the field of education and computing. She has published numerous peer-reviewed articles and presented at conferences, demonstrating her commitment to advancing knowledge. Her valuable skill set includes advanced IT and computer skills, leadership abilities, analytical prowess, self-motivation, and excellent interpersonal communication. Adelakun-Adeyemo's hobbies include reading, writing, teaching, mentoring, and networking.