Call for Papers: eLearn Magazine Special Issue
Special Issue on Generative AI in eLearning: Innovation and application in the Middle East Region
Prospective authors are invited to submit articles for potential publication in a Special Issue of
eLearn Magazine focusing on the use of “Generative Artificial Intelligence in eLearning in the Middle East Region”
In recent years, the field of artificial intelligence (AI) has witnessed unprecedented growth, with Generative AI (Gen AI) emerging as a groundbreaking frontier. Gen AI enables teachers to create content that ranges from text to images, sounds, video, and beyond and holds immense potential for transformative applications across various sectors. Education, as a cornerstone for societal development, is no exception. The application of Gen AI in learning and education opens innovative pathways for teaching pedagogies, personalized learning experiences, and the democratization of education, particularly in regions where traditional educational resources may be scarce or unevenly distributed.
The Middle East region, with its diverse cultural heritage and rapid technological adoption, presents a unique landscape for the implementation of Gen AI in education. The region's educational institutions and stakeholders are increasingly recognizing the potential of AI to revolutionize learning environments, making education more accessible, engaging, and effective.
This special issue aims to explore innovative applications of Gen AI in the eLearning sector within the Middle East, shedding light on the current state, challenges, opportunities, and future directions.
We invite researchers, practitioners, teachers, and policymakers to contribute their original research articles, case studies, technical reports, and perspectives on the use of Gen AI in eLearning and education. Topics of interest include, but are not limited to, the development of AI-driven educational tools, the impact of Gen AI on student engagement and learning outcomes, ethical considerations and challenges in deploying AI technologies in education, and case studies of successful implementations within the Middle East region.
This special issue seeks to not only showcase the innovative applications of Gen AI in the Middle East's educational sector but also to stimulate discussion on how these technologies can be harnessed to address region-specific challenges and contribute to the global body of knowledge in AI-enhanced learning. We look forward to receiving your contributions and to fostering a vibrant discourse on the future of education in the Middle East, as shaped by the advancements in generative AI.
Overview of Topics for the Special Issue
The goal of this Special Issue is to inspire the integration of educational technology, specifically Gen AI tools (applications), to enhance the e-learning process. As such, topics can include (but are not limited to):
- Gen AI applications to promote interactive content creation for e-learning
- Utilizing Gen AI tools to prepare and plan for effective online teaching
- Case studies on the effectiveness of AI-driven personalized learning in the Middle East.
- Innovations in AI-generated texts, images, videos, and interactive materials for enhancing e-learning experiences.
- Ethical considerations and quality control in the use of AI-generated educational content.
- AI in educational assessment and feedback:
- Automated grading systems and feedback tools powered by AI.
- Gen AI for assessment
- Gen AI to enhance peer collaboration
- Impact of AI-powered virtual environments on student engagement and learning outcomes
As indicated by the sample topics, the focus of this Special Issue goes beyond generalized best practices of integrating Gen AI to share best practices and inspire other teachers and practitioners in the world. All articles should focus on a specific Gen AI and explore its impact, value, and potential in the eLearning environment.
Deadlines
- Article submission deadline: May 31, 2024
Article Preparation
- Articles must be written in clear English.
- Identify a specific technology and clearly identify the value this technology adds to the blended learning experience.
- Connect recommendations, challenges or solutions to theory, research or data.
- Provide practical advice, resources, tools, and strategies to address the problem.
- Identify and discuss concrete suggestions for the integration of the targeted instructional technology.
Maximum length of submission is 2000 words or less (excluding references). Articles should be written in a newsletter style (less formal and comprehensive than a traditional journal article), targeting a general audience. Article submissions must be accompanied by an article title (10 words or less) and a brief article summary.
Article Submission
Please submit your paper
here.
Peer Review
All submissions are evaluated by a double-blind, peer-review process. Prior to dissemination to the reviewers, the Editor will conduct a preliminary appraisal for content, substance, and appropriateness for the Special Issue. If the article is clearly inappropriate, the author will be informed, and the article returned. Appropriate articles will be sent to two reviewers for blind evaluation.
Articles will be evaluated according to the following criteria:
- Focus – Does the article focus on a specific Gen AI tool that fosters teaching and learning?
- Value – Does the article offer significant value to those involved in education / practitioners of using Gen AI? Are the recommendations appropriate?
- Relevance – Is the article grounded in relevant scholarly literature, theoretical foundations, or empirical data?
- Utility – Does the article offer practical advice for utilizing Gen AI to enhance eLearning?
- Innovation – Is the article innovative, original, or offer novel insights to enhance the use of Gen AI in education?
- Current – Is the article thorough and current?
- Professional – Is the article professionally written, well-organized, easy to read and free from errors in grammar or spelling?
Contact Information
If you have any questions or need additional information, please contact the Special Issue Editor:
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