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Authors contributing to the conference program of the MoStart Conference are requested to register between 09:30 and 10:00. This will facilitate a seamless integration of their presentations and discussions into the day's schedule, ensuring a productive and engaging event for all participants.
Graph-based methods such as argument maps and concept maps have been found to enhance critical-thinking (CT) skills more effectively than other CT training approaches. Despite such benefits, the widespread adoption of graph composition in education has been hindered by the perception of high training costs. Nonetheless, the author's research team has shown that by engaging in collaborative creation of graph documents (RDF graphs validated through suitable ontologies) during group discussions, students can improve their CT skills without incurring additional training expenses. This finding supports the implementation of collaborative graph-document composition in educational settings to achieve improved learning outcomes.
Prof. Slavomir Stankov, PhD (University of Split) will reveal how we can successfully assess knowledge at a workshop during the #MoStart conference. Prof. Stankov has been advocating for the introduction and implementation of e-learning in the entire educational system for years. Students at Doctoral Studies have the opportunity to earn 3 ECTS credits by participating in the workshop.
Advanced technologies are revolutionizing the field of education and transforming the way we learn and teach. Cutting-edge technologies are helping to personalize education, improve the learning experience and provide students with new opportunities to engage with their course material. The topics of interest in this track are as follows but 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
- Reinforcement Learning
- Generative Models and Generative Adversarial Networks (GANs)
- Application of Artificial Intelligence in Law and Education: Privacy and Etical Issues
| 12:00 | Artificial Intelligence in Elementary Math Education: Analyzing Impact on Students Achievements (abstract) PRESENTER: Ana Bešlić |
| 12:15 | Assessing the Impact of Large-Scale ICT Investment in Education Through Measuring the Digital Maturity of Schools (abstract) PRESENTER: Goran Škvarč |
| 12:30 | Enhancing Student Discussion Forum Analysis through Natural Language Processing (abstract) PRESENTER: Daniel Vasić |
| 12:45 | Gamification in Learning process enhanced with AI (abstract)  PRESENTER: Maja Gakić |
| 13:00 | Impact of the e-Schools Programme on the Use of the e-Class Register (abstract) |
| 13:15 | Opportunities for the Professional Development of Teachers in Digital Competences Related to the Use of Artificial Intelligence in Education in Croatia (abstract) PRESENTER: Gordana Jugo |
| 13:30 | Students' Digital Learning Behavior During the Mandatory and Non-mandatory Platforms in an Online Learning Environment (abstract) |
| 13:45 | The Exhibition, Games and Virtual reality - Technologies in Math Education (abstract) PRESENTER: Bojan Crnković |
Artificial Intelligence is at the forefront of reshaping industries, driving innovation, and enhancing productivity. As Industry 4.0 ushers in a new era of smart manufacturing, AI and NLP applications are becoming indispensable tools across various sectors.
- AI and Industry 4.0: Revolutionizing Manufacturing
- Predictive Maintenance in Industry 4.0
- Financial Forecasting using AI
- AI-powered Personalization in E-commerce
- AI-driven Cybersecurity for Industrial Systems
- Robotics and AI in Smart Manufacturing
- Computer Vision in Search and Rescue Operations
- AI in Healthcare: Diagnostics and Predictions
- Natural Language Processing (NLP) for Business Intelligence
- AI-driven Customer Support using NLP
- Reinforcement Learning in Automated Trading
- AI Ethics and Accountability in Industrial Applications
- AI in Precision Agriculture and Smart Farming
- Virtual Assistants and NLP in Business Automation
- Integrating IoT with AI for Smart Industry Solutions
- AI in traffic management and prediction
- AI in autonomous mobility systems and self-driving vehicles
- AI in entertainment, sports and games
- AI for energy transition: smart grids, optimized electricity consumption and electric mobility
| 12:00 | A Systematic Review of Robotics' Transformative Role in Education (abstract) PRESENTER: Vlado Grubišić |
| 12:15 | Application of artificial intelligence in the economic and legal affairs of companies (abstract) |
| 12:30 | Application of the decision tree in the business process (abstract) PRESENTER: Emil Brajković |
| 12:45 | Artificial intelligence-based control of autonomous vehicles in simulation: a CNN vs. RL case study (abstract) PRESENTER: Josip Musić |
| 13:00 | Crop-Guided Neural Network Segmentation of High-Resolution Skin Lesion Images (abstract) PRESENTER: Marin Benčević |
| 13:15 | Development of a Dynamic Multi-Object Planning Framework for Autonomous Mobile Robots (abstract) PRESENTER: Toma Sikora |
| 13:30 | Fuzzy-based knowledge design and delivery model for personalised learning (abstract) |
| 13:45 | Impact of AI tools on software development code quality (abstract) PRESENTER: Boris Martinović |
| 14:00 | The Development of Assistive Robotics: A Comprehensive Analysis Integrating Machine Learning, Robotic Vision, and Collaborative Human Assistive Robots (abstract) |
Artificial Intelligence is revolutionizing the education sector, providing new opportunities for personalized learning, automation, and innovative pedagogical approaches. The panelists who will present their experiences and insights on the impact of AI on education include: Prof. Slavomir Stankov, PhD, (University of Split), Prof. Ani Grubišić, PhD, (University of Split), Prof. Branko Žitko, PhD, (University of Split),Angelina Gašpar, PhD, (University of Split), Daniel Vasić, PhD, (University of Mostar), Hrvoje Ljubić, (University of Mostar).