MoStart2025: International Conference on Digital Transformation in Education and Artificial Intelligence Applications Mostar Mostar, Bosnia and Herzegovina, April 23-25, 2025

MoStart 2025 marks the third edition of this annual international conference focused on digital transformation in education and the applications of artificial intelligence (AI). This year, we seek to bring together researchers, educators, and industry experts working across these fields to share insights and advance discussions on integrating advanced technologies and AI into various areas of human life, with a particular emphasis on education. MoStart 2025 will take place in the vibrant city of Mostar, Bosnia and Herzegovina, from April 23rd to April 25th, 2025.

Distinguished for its two-track approach, MoStart 2025 is structured to explore both Advanced Educational Technologies and Artificial Intelligence Applications. This setup allows participants to delve deeply into either track while appreciating the intersections and synergies between AI and education. The Advanced Educational Technologies track highlights innovations such as Intelligent Tutoring Systems, Augmented and Virtual Reality, and Robotics in Education, covering both the theoretical and practical implications of technology-empowered classrooms. Meanwhile, the Artificial Intelligence Applications track spans traditional AI fields and newer areas, such as ethical AI and AI solutions for global challenges. This unique focus on two evolving domains ensures that MoStart 2025 remains a hub for pioneering ideas, rigorous research, and meaningful exchanges.

Submission Guidelines

MoStart 2025 is pleased to announce an open call for papers and invites authors to submit their contributions in the form of scientific papers by February 1, 2025. Acceptance notifications will be sent to authors by March 1, 2025, with final, camera-ready submissions due by March 20, 2025. All submissions should be made through the EasyChair platform.

IMPORTANT NOTICE: The conference will be held in person, and physical attendance is required. However, in the event of travel restrictions that prevent physical participation, online presentations of scientific papers will be accommodated. For questions regarding this policy, please contact us at mostart@sum.ba.

List of Topics

T1 Advanced Technologies in Education

General chair: Assist. Prof. Daniel Vasić, PhD

Advanced technologies are at the forefront of reshaping the educational landscape, transforming both how we learn and how we teach. These innovations are driving a shift toward more personalized, interactive, and accessible learning experiences, offering students new opportunities to engage with content in meaningful ways. This track invites research and insights into the latest developments in educational technology. Topics of interest include, but are not limited to:

• Artificial Intelligence in Education
• Robotics in Education
• Robotics for Assessment and Evaluation
• Games and Serious Games in Education
• Games for Assessment and Evaluation
• Game-based and Simulated Learning Environments
• Intelligent Tutoring Systems
• Future Trends in Intelligent Tutoring Systems
• Augmented Reality in Education
• Virtual Reality in Education
• Applied Natural Language Processing in Education
• Question Answering and Dialogue Systems in Education
• Computer Vision and Applications in Education
• Knowledge Representation in Intelligent Tutoring Systems
• IoT Applications in Education
• Metaverse Applications in Education
• Learning Analytics and Data Mining
• Deep Neural Networks for Personalized Learning
• Recommender Systems and Predictive Analytics
• Application of Artificial Intelligence in Law and Education: Privacy and Ethical Issues

This track offers a platform for pioneering discussions and insights on how these technologies can be harnessed to advance educational practices and empower the next generation of learners.

T2 Artificial Intelligence Applications

General chair: Assist. Prof. Emil Brajković, PhD

Artificial Intelligence continues to advance, powering transformative applications across a broad range of fields. With developments in areas such as computer vision, natural language processing, and deep learning, AI is increasingly capable of augmenting human capabilities and providing solutions to complex problems. This track invites research that explores the diverse applications of AI technologies. Topics of interest include, but are not limited to:

• Computer Vision Applications and Image Recognition
• Natural Language Processing (NLP) for Automated Insights and Interactions
• Reinforcement Learning and Decision-Making Systems
• AI for Predictive Analytics and Forecasting
• Deep Learning Techniques for Large-Scale Data Analysis
• Ethical and Accountable AI Systems
• AI in Healthcare: Diagnostic Tools and Predictive Modeling
• Personalized Recommendations and Predictive Analytics
• Conversational AI and Virtual Assistants
• Generative AI for Creative Applications
• Machine Learning for Cybersecurity and Risk Detection
• AI for Smart Environments and IoT Integration
• Advanced Neural Networks for Autonomous Systems
• AI in Education and Intelligent Tutoring
• Applications of AI in Social Media and Content Generation
• Explainable AI for Transparency and Trustworthiness
• AI for Data Mining and Knowledge Discovery
• AI in Language Translation and Multilingual Processing
• Graph Neural Networks for Complex Data Relationships
• Applications of Machine Learning in Climate and Environmental Science

This track encourages contributions on the latest advancements and practical applications of AI, fostering discussions on how these technologies can drive innovation and impact across diverse fields.

Conference proceedings

The paper accepted and presented in Advanced Technologies in Education (Track 1) and Artificial Intelligence Applications (Track 2) at the MoStart conference will be published by Springer as part of the Communications in Computer and Information Science (CCIS) book series. Volumes published as part of  the CCIS are indexed by the following services: DBLP, EI Compendex, INSPEC, Japanese Science and Technology Agency (JST), Norwegian Register for Scientific Journals and Series, SCImago, SCOPUS, zbMATH. All papers that are not accepted by Springer will be published in the MoStart proceedings.

Additionally, authors of the best extended version of a paper presented in either Track 1 or Track 2 will be invited to submit their work for potential publication in a special issue of the prestigious SN Computer Science journal (https://link.springer.com/journal/42979). Acceptance in SN Computer Science will be subject to a rigorous peer-review process. The call for papers (CFP) of the specail issue will be available soon.

Here's why you should consider submitting your extended version to SN Computer Science:

• High Impact: SN Computer Science is a broad-based, peer reviewed journal that publishes original research in all the disciplines of computer science including various inter-disciplinary aspects ensuring wide dissemination and potential impact within the scientific community. The journal is indexed by Scopus, boasts an impressive H-index of 25 and holds a commendable Q2 ranking in Scimago (SJR).
• Rigorous Peer Review:  Your work will undergo a thorough single blind peer review process by experts in the field.
• Fast Publication: Accepted manuscripts will be published online rapidly, ensuring timely access to your research findings.
• SN Computer Science is a hybrid open access journal. Once the article is accepted for publication, authors will have the option to choose how their article is published:

  • Traditional publishing model – published articles are made available to institutions and individuals who subscribe to SN Computer Science or who pay to read specific articles.

  • Open Access – when an article is accepted for publication, the author/s or funder/s pay an Article Processing Charge (APC). The final version of the published article is then free to read for everyone.

Important Dates:

• Conference Paper Submission Deadline: February 1, 2025
• Conference Dates: April 23-25, 2025
• Extended Version Submission Deadline: August 31, 2025

Don't miss this opportunity to showcase your research in a renowned journal and contribute to the advancement of knowledge in AI applications for education and professions!

Committees

Program Committee

• Sanja Bijakšić. Ph. D. - University of Mostar
• Mirjana Bonković, Ph.D. - University of Split
• Geoffrey Dick, Ph.D. - St John's University New York
• Ivo Čolak, Ph. D. - University of Mostar
• Juan Manuel Fernández Luna, Ph.D. - University of Granada
• Irena Galić, Ph.D. - University of Osijek
• Puya Ghazizadeh, Ph.D. - St John's University New York
• Suzanna Schmeelk, Ph.D. - St John's University New York
• Sven Gotovac, Ph.D. - University of Split
• Tamara Grujić, Ph.D. - University of Split
• Rainer Herpers, Ph.D. - Bonn-Rhein-Sieg University of Applied Sciences
• Branko Katalinić, Univ. Prof. i.R. Dipl.-Ing. Dr. techn. Dr.mult.h.c. Prof.mult.h.c. - Vienna University of Technology 
• Zdenko Klepić, Ph. D. - University of Mostar
• Goran Martinović, Ph.D. - University of Osijek
• Pedro Miguel Moreira, Ph.D. - Polytechnic institute of Viana do Castelo
• Vladan Papić, Ph.D. - University of Split
• Marko Rosić, Ph.D. - University of Split
• Slavomir Stankov, Ph.D. - Retired full professor at the University of Split
• Zoran Tomić, Ph. D. - University of Mostar
• Drago Žagar, Ph.D. - University of Osijek
• Boris Crnokić, Ph.D. - University of Mostar
• Ani Grubišić, Ph.D. - University of Split
• Tonćo Marušić, Ph.D. - University of Mostar
• Jonathan Schler, Ph.D. Holon Institute of Technology
• Jan Snajder, Ph.D. - University of Zagreb
• Danijel Topić, Ph. D. - University of Osijek
• Tomislav Volarić, Ph.D. - University of Mostar
• Branko Žitko, Ph.D. - University of Split
• Krunoslav Žubrinić, Ph.D. - University of Dubrovnik
• Elisabete Cunha, Ph.D. - Polytechnic institute of Viana do Castelo
• Bárbara Cristina Dos Santos Gaspar Cleto, Ph.D. - Polytechnic Institute of Porto
• Angelina Gašpar, Ph.D. - University of Split
• Janez Gotlih, Ph.D. - University of Maribor
• Miroslav Grubišić, Ph.D. - University of Mostar
• Lada Maleš, Ph.D. - University of Split
• Benny Johnson, Ph.D. - Vitalsource
• Timi Karner, Ph.D. - University of Maribor
• Mirela Kundid Vasić, Ph.D. - University of Mostar
• Nikola Ljubešić, Ph.D. - University of Ljubljana
• Željko Marušić, Ph.D. - University of Mostar
• Ivan Peko, Ph.D. - University of Split
• Krešimir Rakić, Ph.D. - University of Mostar
• Višnja Simić, Ph.D. - University of Kragujevac
• Suzana Tomaš, Ph.D. - University of Split
• Daniel Vasić, Ph.D. - University of Mostar
• Josip Vasilj, Ph.D. - University of Split
• Željko Šeremet, Ph.D. - University of Mostar

Organizing committee

• Boris Crnokić, Ph.D. - University of Mostar
• Tomislav Volarić, Ph.D. - University of Mostar
• Emil Brajković, Ph.D. - University of Mostar
• Mirela Kundid Vasić, Ph.D. - University of Mostar
• Krešimir Rakić, Ph.D. - University of Mostar
• Davorka Topić Stipić, Ph.D. - University of Mostar
• Daniel Vasić, Ph.D. - University of Mostar
• Damir Vasilj, Ph.D. - University of Mostar
• Ivan Šabić, Ph.D. - University of Mostar
• Marin Bošnjak - University of Mostar
• Hrvoje Ljubić - University of Mostar
• Maja Marić - University of Mostar
• Manlio Napoli - University of Mostar
• Ana Pinjuh - University of Mostar
• Hrvoje Puljiz - CARNet: Croatian Academic and Research Network
• Robert Rozić - University of Mostar
• Selena Buhovac Knežić, University of Mostar

Contact

All inquiries regarding submissions should be directed to mostart@sum.ba.