Submit a Manuscript to the Journal
Applied Artificial Intelligence
For an Article Collection on
AI for Education
31 May 2024
AI for Education
The Article Collection on “AI in Education” presents an exploration of how Artificial Intelligence (AI) is revolutionizing the field of education. With the rapid progress of AI capabilities, there is growing interest in incorporating intelligence into educational software to improve learning experiences, tailor training, and optimize educational results. This collection aims to highlight cutting-edge research, innovations, and insights that show how AI may alter education and shape the future of learning.
AI in education provides immense potential and effect for students, instructors, and educational institutions alike. Educators may personalize instructional content to individual students’ needs, preferences, and learning styles by utilizing AI-powered systems, in which all stakeholders can interact in an engaging learning environment. Furthermore, AI can serve as the tool to evaluate massive volumes of educational data to offer researchers with important insights, assisting in the development of evidence-based policies and practices that improve overall educational quality and outcomes. As AI continues to reshape different fields around the world, examining its possibilities in education becomes critical to ensuring future generations’ readiness to flourish in an increasingly AI-driven environment. At the same time, the development and deployment of these technologies should have an eye towards inclusivity, diversity, equity, and ethics, to ensure that benefits of the technology reach reach those in most need.
Toward this direction, this Article Collection is soliciting original research papers as well as review articles and short communications in specific relevant areas. The topics of interest include, but are not limited to, the following:
- Personalized Learning with AI
- Intelligent Tutoring Systems & Adaptive educational hypermedia systems
- Intelligent techniques (e.g., deep learning, artificial neural networks, reinforcement learning, fuzzy logic, cognitive maps, genetic algorithms, etc.) in education
- Natural Language Processing in Education
- Educational Data Analytics
- Virtual and Augmented Reality in Education
- Affective Computing
- Inclusivity, Diversity, Equity, Ethical and Privacy Considerations
All manuscripts submitted to this Article Collection will undergo a full peer-review; the Guest Advisor for this collection will not be handling the manuscripts (unless they are an Editorial Board member). Please review the journal scope <link> and author submission instructions <link> prior to submitting a manuscript. The deadline for submitting manuscripts is 31/05/2024.
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All Contributing Authors are eligible for a 10% Discount on the Article Processing Charge by applying the following discount code at the point of Submission: UAAI-2024-C22142
The Editors welcome the following Article Types for this collection:
Original Research Papers – Presenting high quality original research
Reviews – Comprehensive review of research and developments of significance in the field, highlighting problems to overcome and future directions for research
Short Communications – Discussing concise, but important, break through data or research not embedded within a complex story
Technical Reports - Describe new approaches, methods process or progress of technical research
Commentaries – Evaluate recent research findings, professional practices and/or current issues in the subject area
Meeting Reports – Summarizes presentations from recent meetings in the field. Meeting Reports should only be submitted after prior agreement from the Editor
All manuscripts submitted to this Article Collection will undergo desk assessment and peer-review as part of our standard editorial process. Guest Advisors for this collection will not be involved in peer-reviewing manuscripts unless they are an existing member of the Editorial Board. Please review the journal Aims and Scope and author submission instructions prior to submitting a manuscript.