Submissions

Author Guidelines

Authors are invited to make a submission to this journal. All submissions will be assessed by an editor to determine whether they meet the aims and scope of this journal. Those considered to be a good fit will be sent for peer review before determining whether they will be accepted or rejected.

Before making a submission, authors are responsible for obtaining permission to publish any material included with the submission, such as photos, documents and datasets. All authors identified on the submission must consent to be identified as an author. Where appropriate, research should be approved by an appropriate ethics committee in accordance with the legal requirements of the study's country.

An editor may desk reject a submission if it does not meet minimum standards of quality. Before submitting, please ensure that the study design and research argument are structured and articulated properly. The title should be concise and the abstract should be able to stand on its own. This will increase the likelihood of reviewers agreeing to review the paper. When you're satisfied that your submission meets this standard, please follow the checklist below to prepare your submission.

Submission Preparation Checklist

All submissions must meet the following requirements.

This submission meets the requirements outlined in the Author Guidelines.
This submission has not been previously published, nor is it before another journal for consideration.
All references have been checked for accuracy and completeness.
All tables and figures have been numbered and labeled.
Permission has been obtained to publish all photos, datasets and other material provided with this submission.

Topic: Virtual and Augmented Reality in Education

In the last few years, Virtual reality (VR) and Augmented Reality (AR) have rapidly increased their popularity. AR/VR solutions can enhance classroom experiences and expand opportunities at all levels of learning. As a result, their use in educational environments has been a topic of interest in academic education. However, both virtual reality and augmented reality are not yet widely used in higher education.

This topical collection will introduce the technology of augmented reality (AR) and its possibilities for education and provide a model for the development of integrated learning objects based on the VR and AR approach where VR and AR objects could be integrated into other educational content as learning objects by creating integrated learning programs, learning scenarios.

Topic: Gamification and Game-Based Learning

Gamification is an educational approach that seeks to motivate students by using introduction of game elements into a traditionally non-game situation. Game-based learning refers to the borrowing of certain gaming principles, it is designing learning activities that can incrementally introduce concepts, and guide users towards an end goal. Gamification and game-based learning both promote engagement and sustained motivation in learning.

This topic aims to publish works focused on all aspects of gamification and Game-based learning. It welcomes submissions from academics and researchers that facilitate education or propose new theories on teaching and learning that can be supported by such technology.

Topic: Educational Data Mining (EDM) and Learning Analytics (LA)

Educational data mining (EDM) and learning analytics (LA) are used to represent the application of data mining in higher education and other educational settings. They are fundamentally based on computational data analysis and can consecutively collect, process, report, and work on digital data to improve the educational process. EDM and LA are used to offer more personalized, adaptive, and interactive educational environments to enhance learning outcomes, teaching and learning effectiveness, and optimize institutional proficiency, contributing to both learning sciences and educational theory more broadly.

The topic seeks to connect learning analytics researchers, developers, and practitioners who share a common interest in computational approaches to educational data mining, to better understand and improve learning through the creation and implementation of new tools and techniques.

Specifically, it welcomes high-quality original work including but not limited to:
Student modeling
Social Network Analysis
Analysis and Visualization of Data
Prediction, Clustering, and Relationship Mining
Developing concept maps
Discovering or improving domain models
Predicting students’ future learning behavior
…

Topic: Artificial Intelligence (AI) in Education

Artificial Intelligence (AI) in education is about using computer intelligence to help teachers and students and make the education system much better and more effective. AI in Education is developing new solutions for teaching and learning in different situations. The potential of AI for education and learning and the role of education in developing AI literacy, have also received increased attention.

The proposed topic collection aims to understand how artificial intelligence enables innovation in education and teaching, changes educational practices, and how major stakeholders in the education industry (i.e. students, teachers, teachers, and families) view this continuous change. Relevant topics include but are not limited to:

Intelligent Tutoring Systems
Adaptive learning environments
Personalized Learning
Automated Grading
Chatbots and Virtual Assistants
Predictive Analytics
Intelligent techniques for objective and integrated students evaluation in TEL
Teachers' competencies for effective integration of AI into Education
Teachers’ perceptions of AI: prejudices and attitudes

Selected Papers from Conferences

This section will publish selected papers from conferences.

Copyright Notice

Authors retain the copyright. Articles are licensed under an open access Creative Commons CC BY 4.0 license, which means all papers can be downloaded, shared, and reused without restriction, as long as the original authors are properly cited. These conditions allow for maximum use and exposure of the work while ensuring that the authors receive proper credit.

In exceptional circumstances, articles may be licensed differently. If you have a specific condition (such as one linked to funding) that does not allow this license, please mention this to the editorial office of the journal at submission.

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