Enhancing Student Motivation and Achievement through Digital
Mikloš Kovač 1), Mirjana Brdar 2), Goran Radojev 3), Radivoje Stojković 4)
1) Electrotechnical School “Mihajlo Pupin”, Novi Sad (Serbia)
2) Faculty of Technology Novi Sad, University of Novi Sad (Serbia)
3) Faculty of Science, University of Novi Sad (Serbia)
4) Gymnasium “Jovan Jovanović Zmaj”, Novi Sad (Serbia)
https://doi.org/10.53656/math2025-6-1-est
Abstract. The established mind mapping technique can be effectively applied in various digital contexts. In this research, tasks related to ellipses were integrated into quizzes on the Moodle platform…
Application of Python in Data Forecasting using SARIMA Models
Vesela Dimitrova
University of National and World Economy, Sofia (Bulgaria)
https://doi.org/10.53656/math2025-6-2-apd
Abstract. This study aims to build and estimate a SARIMA model to predict the prices of the shares of a company listed on NYSE. With the help of Python, the daily closing prices of the stock for the period from 3.01.2023 to 17.03.2025 were taken…
Математическо моделиране в първи гимназиален етап: изграждане на междупредметни връзки между математика, физика, биология и информационни технологии
Гергана Петрова
ПМГ „Акад. Боян Петканчин“, Хасково (България)
https://doi.org/10.53656/math2025-6-3-mmf
Резюме. Статията изследва педагогическите и организационните предизвикателства при внедряването на задачи с математическо моделиране в училищното обучение. Анализира се ролята на тези задачи като средство за свързване на абстрактни математически концепции с реални житейски ситуации, както и тяхното място в учебния процес – дали да бъдат част от часовете по математика, или по природни науки…
Optimization vs Boosting: Comparison of Strategies on Educational Datasets to Explore Low-performing at-risk and Dropout Students
Ranjit Paul 1), Asmaa Mohamed 2), Peren Canatalay 3), Ashima Kukkar 4), Sadiq Hussain 1), Arun Baruah 1), Jiten Hazarika 1), Silvia Gaftandzhieva 5), Esraa Mahareek 2), Abeer Desuky 2), Rositsa Doneva 5)
1) Dibrugarh University, Dibrugarh (India)
2) Al-Azhar University (girls branch), Cairo (Egypt)
3) Istinye University, Istanbul (Turkey)
4) Chitkara University, Punjab (India)
5) University of Plovdiv “Paisii Hilendarski”, Plovdiv (Bulgaria)
https://doi.org/10.53656/math2025-6-4-obc
Abstract. The paper proposes a comprehensive student academic performance prediction approach by integrating machine learning with metaheuristic optimization…
Artificial Intelligence as a Tool for Pedagogical Innovations in Mathematics Education
Stanka Hadzhikoleva 1), Maria Borisova 1), 2), Borislava Kirilova 3)
1) University of Plovdiv “Paisii Hilendarski”, Plovdiv (Bulgaria)
2) Primary School “Otets Paisiy”, Topolovo (Bulgaria)
3) Sofia University “St. Kliment Ohridski”, Sofia (Bulgaria)
https://doi.org/10.53656/math2025-6-5-ait
Abstract. This article examines the emerging role of artificial intelligence (AI) tools in school education, highlighting the opportunities, benefits, and challenges they present for teaching and learning…
