AI-Driven Educational Technologies: Systems and Applications

A special issue of Applied System Innovation (ISSN 2571-5577). This special issue belongs to the section "Applied Systems on Educational Innovations and Emerging Technologies".

Deadline for manuscript submissions: 20 April 2026 | Viewed by 1554

Special Issue Editors


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Guest Editor
Department of Digital Media and Communication, Ionian University, 28100 Kefalonia, Greece
Interests: communication; online media; human–computer interaction; social networking and intercultural communication for tourism

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Guest Editor
Department of Preschool Education, Faculty of Education, University of Crete, 74100 Crete, Greece
Interests: technology-enhanced learning; game-based learning; educational robotics; computational thinking; coding; STEM; machine learning; artificial intelligence
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Special Issue Information

Dear Colleagues,

The rapid evolution of intercultural communication and Artificial Intelligence (AI) is fundamentally transforming educational technologies, creating intelligent, adaptive, and data-driven learning environments. This Special Issue aims to present cutting-edge research that explores the design, development, and application of AI-driven educational technologies across diverse learning contexts. We welcome contributions that address AI’s role in enhancing personalized learning, improving student engagement, streamlining assessment processes, and supporting educators in instructional planning and decision-making. Effective Human–Computer Interaction (HCI) is essential for ensuring that these technologies are not only adopted but also truly enhance the learning experience.

Submissions may include original research, comprehensive reviews, case studies, frameworks, and experimental studies focusing on the practical integration of AI in both formal and informal education settings.

Topics of interest include the following:

Gamification and AI in education;

AI-powered intelligent tutoring systems;

UX and usability evaluation of AI-based learning tools;

Automated feedback and assessment tools;

Intercultural communication and AI;

Adaptive user interfaces in education;

Multimodal learning environments powered by AI;

AI-powered intelligent tutoring systems.

Dr. Nikos Antonopoulos
Dr. Stamatios Papadakis
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied System Innovation is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • artificial intelligence
  • education
  • human–computer interaction

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Published Papers (1 paper)

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Research

30 pages, 1790 KB  
Article
From Manual to AI-Driven: Methods for Generating Mathematics and Programming Exercises in Interactive Educational Platforms
by Dominik Borys, Janina Macura, Beata Sikora and Łukasz Wróbel
Appl. Syst. Innov. 2025, 8(6), 174; https://doi.org/10.3390/asi8060174 - 18 Nov 2025
Viewed by 756
Abstract
The paper presents methods of applying AI to generate mathematical and programming exercises for the purpose of creating courses on an educational platform. Various challenges and advantages are highlighted and discussed in the context of a new interactive platform—Compass. The proposed learning methods [...] Read more.
The paper presents methods of applying AI to generate mathematical and programming exercises for the purpose of creating courses on an educational platform. Various challenges and advantages are highlighted and discussed in the context of a new interactive platform—Compass. The proposed learning methods based on user–platform interaction are described, along with the results of evaluations conducted among university students who learned with Compass. Full article
(This article belongs to the Special Issue AI-Driven Educational Technologies: Systems and Applications)
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