Research

The project team published the following scientific papers where the team presents the findings and experience with the realisation of the FITPED projects. The following papers have been already accepted and published in the journals and proceedings, which are usually indexed in the Scopus and Web of Science Databases

FITPED-GAI (2024-2027)

Scientific Papers Published in 2024

• Halvoník D., Kapusta J., Large Language Models and Rule-Based Approaches in Domain-Specific Communication, in IEEE Access, vol. 12, pp. 107046-107058, 2024, https://doi.org/10.1109/ACCESS.2024.3436902
• Skalka J., Valko M., Rapid Guessing Behavior Detection in Microlearning: Insights Into Student Performance, Engagement, and Response Accuracy in IEEE Access, vol. 12, pp. 157996-158024, 2024, https://doi.org/10.1109/ACCESS.2024.3485505.

FITPED-AI (2021-2024)

Scientific Papers Published in 2024

• Farana, R. The usability of algorithms from graph theory in the field of multicriteria analysis. In: 26th Annual International Conference Economic Competitiveness and Sustainability 2024 Proceedings. Mendel University in Brno, 2024, pp. 60-64. ISBN 978-80-7509-990-7. https://doi.org/10.11118/978-80-7509-990-7-0060
• Kapusta J., Držík D., Šteflovič K., Nagy K. S., Text Data Augmentation Techniques for Word Embeddings in Fake News Classification in IEEE Access, vol. 12, pp. 31538-31550, 2024, https://doi.org/10.1109/ACCESS.2024.3369918
• Pecuchova J., Drlik M., Enhancing the Early Student Dropout Prediction Model Through Clustering Analysis of Students’ Digital Traces, in IEEE Access, vol. 12, pp. 159336-159367, 2024, https://doi.org/10.1109/ACCESS.2024.3486762
• Popovych, V., & Drlik, M. Identification of Students with Similar Performances in Micro-Learning Programming Courses with Automatically Evaluated Student Assignments. Applied Sciences, 2024, 14(9), 3615. https://doi.org/10.3390/app14093615
• Przybyła-Kasperek M., Doroz R., Lisowska A., Machnik G., Nowakowski A., Wróbel K., & Zielosko B. (2024). Exploring the Educational Efficacy and Potential of 24-Hour Hackathon Programming Marathon – HackEmotion. International Journal of Research in E-Learning, 10(1), 1-26. https://doi.org/10.31261/IJREL.2024.10.1.07
• Chromiński, K. M., Przybyła-Kasperek, M., & Skinderowicz, R. K. (2024). Example of Good Practice for Teaching about Cyber Security in Secondary School. In M. Klement (Ed.), Trendy ve vzdělávání 2024: sborník abstraktů mezinárodní konference (p. 27). Univerzita Palackého v Olomouci.

Scientific Papers Published in 2023

• Chromiński, K., Przybyła-Kasperek, M., Smyrnova-Trybulska, E., Bazarbayeva, A. & Morze, N. (2023) Comparative International Research in Area of Educational Platform and MOOCs in Opinion of IT Students Using Data Mining Analysing. in E-learning & Artificial Intelligence. „E-learning” Series. Vol. 15 Katowice-Cieszyn: STUDIO NOA for University of Silesia. (pp. 15-30) ISSN 2451-3644 (print edition), ISSN 2451-3652 (digital edition), ISBN 978-83-66055-39-1 https://doi.org/10.34916/el.2023.15.02
• Chromiński K, Przybyła-Kasperek M., Smyrnova-Trybulska E., Bazarbayeva A., Morze N.: Comparative International Research in the Area of Educational Platforms and MOOCS: an Opinion of It Students Using Data Mining Analysis In: E-learning & Artificial Intelligence: monograph / Smyrnova-Trybulska Eugenia (eds.), E-Learning, vol. 15, 2023, STUDIO NOA, ISBN 978-83-66055-42-1, pp. 15-30, https://doi.org/10.34916/el.2023.15.02 
• Morze N., Smyrnova-Trybulska E., Drlík M., Buinytska O. Development of advanced digital ecosystems at universities: A study comparing experiences from Ukraine, Poland and Slovakia. In European Journal of Education 2023, 58 (4), 647-664, https://doi.org/10.1111/ejed.12588
• Pecuchova, J. & Drlik, M. (2023). The Importance of Selected LMS Logs Pre-processing Tasks on the Performance Metrics of Classification Models. In: Singh, Y., Verma, C., Zoltán, I., Chhabra, J.K., Singh, P.K. (eds) Proceedings of International Conference on Recent Innovations in Computing. ICRIC 2022. Lecture Notes in Electrical Engineering, vol 1011. Springer, Singapore. https://doi.org/10.1007/978-981-99-0601-7_11
• Pecuchova, J. & Drlik, M. (2023). Predicting Students at Risk of Early Dropping Out from Course Using Ensemble Classification Methods. Procedia Computer Science. KES2023 – 27th Annual KES Conference, Athens, Greece, 6-8 September 2023. https://doi.org/10.1016/j.procs.2023.10.316
• Popovych, V., Drlik, M. (2023). Towards Development of Data Architecture for Learning Analytics Projects Using Data Engineering Approach. In: Tanwar, S., Wierzchon, S.T., Singh, P.K., Ganzha, M., Epiphaniou, G. (eds) Proceedings of Fourth International Conference on Computing, Communications, and Cyber-Security. CCCS 2022. Lecture Notes in Networks and Systems, vol 664. Springer, Singapore. https://doi.org/10.1007/978-981-99-1479-1_38
• Przybyła-Kasperek M., Chromiński K., Smyrnova-Trybulska E., Morze N., & Bazarbayeva A. Importance, Popularity and Elements of Educational Platforms – A Study of the Opinions of Students from Poland, Ukraine and Kazakhstan. International Journal of Research in E-Learning, 2023, 9(2), 1-29. https://doi.org/10.31261/IJREL.2023.9.2.09
• Skalka J., Drlík, M.,Development of Automatic Source Code Evaluation Tests Using Grey-Box Methods: A Programming Education Case Study, in IEEE Access, 2023, vol. 11, pp. 106772-106792, https://doi.org/10.1109/ACCESS.2023.3317694
• Smyrnova-Trybulska, E., Przybyła-Kasperek, M., & Kommers, P. (2023). Educational, Social and Ethical Apects of AI in the opinion of IT and Pedagogy Studenta – a Case study. In P. Kommers, I. A. Sánchez, & P. Isaías (Eds.), Proceeding of the International Conferences on E-Society 2023 and Mobile Learning 2023, Lisbon, Portugal 11-13 march, 2023 (pp. 171–178). IADIS Press. https://doi.org/10.33965/ES_ML2023_202302L021
• Szabó Nagy, K., Kapusta, J. & Munk, M. Feature extraction from unstructured texts as a combination of the morphological and the syntactic analysis and its usage in fake news classification tasks. Neural Comput & Applic 35, 22055–22067 (2023). https://doi.org/10.1007/s00521-023-08967-2 
• Šteflovič, K., & Kapusta, J. (2023). Coreference Resolution for Improving Performance Measures of Classification Tasks. Applied Sciences, 13(16), 9272. https://doi.org/10.3390/app13169272
• Reichel, J., Benko, Ľ. Preservation of sentiment in machine translation of low-resource languages: a case study on Slovak movie subtitles. Lang Resources & Evaluation (2024). https://doi.org/10.1007/s10579-024-09736-w
• Glazunova O.G., Korolchuk V. I., Parhomenko O. V., Voloshyna T.V., Morze N. V., Smyrnova-Trybulska E.V. A methodology for flipped learning in a cloud-oriented environment: enhancing future IT specialists’ training. In Educational Technology Quarterly 2023 (3), 233-255, https://doi.org/10.55056/etq.629
• Dolgopolovas, V., Dagiene, V., Pozdniakov, S., Liaptsev, A. (2022). Developing Computational Thinking Skills to Foster Student Research: Contemporary Scientific Education Through Modeling and Simulations. In: Rezaei, N. (eds) Integrated Education and Learning. Integrated Science, vol 13. Springer, Cham. https://doi.org/10.1007/978-3-031-15963-3_23
• Przybyła-Kasperek M., Smyrnova-Trybulska E., Morze N., Strutynska O. Awareness of the Importance of Artificial Intelligence in Today’s World – A Polish-Ukrainian Comparative Study, In: Book of Abstracts The 9th International Conference on Education (ICEDU 2023), 16th-17th March 2023 Bangkok, Thailand, 2023, Sri Lanka, The International Institute of Knowledge Management (TIIKM), pp.73-73, ISBN 978-624-5746-34-7
• Przybyła-Kasperek M., Smyrnova-Trybulska E., & Kommers P. (2023). Factors Enhancing Students’ Views on Artificial Intelligence. International Journal of Research in E-Learning, 9(2), 1-42. https://doi.org/10.31261/IJREL.2023.9.2.03
• Przybyła– Kasperek M., Smyczek F., Smyrnova– Trybulska E., Morze N., Kuzminska O. Analysis the Key Topics and Identification of Social and University Networks Based on Papers Related to Artificial Intelligence in Education. In Transformacje 4 (119) 2023, pp. 736-767, ISSN: 1230-0292, e-ISSN 2719-7158.

Scientific Papers Published in 2022

• Skalka, J. & Drlik, M. (2022). Proposal of Artificial Intelligence Educational Model Using Active Learning in a Virtual Learning Environment. DOI 10.34916/el.2022.14.02. In: E-learning : E-learning, vol. 14 / Eugenia Smyrnova-Trybulska. – Katowice : University of Silesia in Katowice, 2022. – ISBN 978-83-66055-31-5. – ISSN 2451-3644, p. 15-28.
• Pecuchova, J. & Drlik, M. (2022). Identification of Students With Similar Behavioural Patterns Using Clustering Techniques. DOI 10.34916/el.2022.14.09. In: E-learning : E-learning, vol. 14 / Eugenia Smyrnova-Trybulska. – Katowice : University of Silesia in Katowice, 2022. – ISBN 978-83-66055-31-5. – ISSN 2451-3644, p. 257-267.
• Kuzminska, O. – Morze, N. – Smyrnova-Trybulska, E. (2022). Artificial Intelligence in Education: A Study on Using Bibliometric Systems. DIVAI 2022 – The 14th international scientific conference on Distance Learning in Applied Informatics. ISBN 978-80-7676-410-1 ISSN 2464-7470 (Print) ISSN 2464-7489 (On-line), p. 393-403.
• Pecuchova, J. (2022). The Issues Related to Preprocessing Educational Datasets for Improving Student’s Performance. DIVAI 2022 – The 14th international scientific conference on Distance Learning in Applied Informatics. ISBN 978-80-7676-410-1 ISSN 2464-7470 (Print) ISSN 2464-7489 (On-line), p. 424-431.

Scientific Papers Published in 2021

• Halvoník, D., Kapusta, J., & Munk, M. Improve estimated time-on-task calculation in a Virtual Learning Environment. Interactive Learning Environments, 31(5), 2914–2929. 2021. https://doi.org/10.1080/10494820.2021.1913609
• Dolgopolovas, V., & Dagiene, V. On the Future of Computational Thinking Education: Moving beyond the Digital Agenda, a Discourse Analysis Perspective. Sustainability, 13(24), 13848. 2021, https://doi.org/10.3390/su132413848
• Skalka, J., Drlik, M., Benko, L., Kapusta, J., Rodríguez del Pino, J. C., Smyrnova-Trybulska, E., Stolinska, A., Svec, P., & Turcinek, P. Conceptual Framework for Programming Skills Development Based on Microlearning and Automated Source Code Evaluation in Virtual Learning Environment. Sustainability, 13(6), 3293, 2021. https://doi.org/10.3390/su13063293

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FITPED (2018-2021)

Scientific Papers Published in 2021

The project team published the following scientific papers in indexed journals and participated in several international conferences during 2021, where the team presents the findings and experience with the realisation of the project FITPED. The following papers have been already accepted and published in the journals and proceedings, which are indexed in the Scopus and Web of Science Databases:

• Smyrnova-Trybulska, E.; Kommers, P.; Drlik, M.; Skalka, J. (Eds.) Microlearning: New Approaches to A More Effective Higher Education; Springer: Cham, Switzerland, 2022. https://doi.org/10.1007/978-3-031-13359-6 was published as result of Intellectual Output O17 (Table of the Content, Preprints)
• Kabáthová, J. & Drlik, M. (2021).  Towards Predicting Student’s Dropout in University Courses Using Different Machine Learning Techniques. Appl. Sci. 2021, 11(7), 3130. (Q2, IF=2,474)

Scientific Papers Published in 2020

The project team published the following scientific papers in indexed journals and participated in several international conferences during 2020, where the team presents the progress and intellectual outputs of the project FITPED. The following papers have been already accepted and will be published in the journals and proceedings, which are indexed in the Scopus and Web of Science Databases:

• Skalka, J. et al. (2020). Architecture Proposal for Micro-Learning Application for Learning and Teaching Programming Courses. IEEE Global Engineering Education Conference, EDUCON, April-2020.
• Skalka, J. & Drlik, M. (2020). Automated Assessment and Microlearning Units as Predictors of At-Risk Students and Students’ Outcomes in the Introductory Programming Courses. Appl. Sci. 2020, 10(13), 4566; (Q2, IF = 2,474)

Scientific Papers Published in 2019

The project team participated in several international conferences during 2019. The authors also presented several important aspects of the project FITPED in the indexed journals. The following papers have been already published in indexed in the Scopus and Web of Science Databases:

• Kapusta, J. et al. (2019). User Identification in the Process of Web Usage Data Preprocessing. International Journal of Emerging Technologies in Learning (iJET), [S.l.], v. 14, n. 09, p. pp. 21-33, May. 2019. ISSN 1863-0383. 
• Skalka J., Drlik M. & Obonya, J. (2019). Automated assessment in learning and teaching programming languages using virtual learning environment. (2019) IEEE Global Engineering Education Conference, EDUCON, April-2019, art. no. 8725127, pp. 689-697. 

Conference Papers Published in 2018

The project team participated in several international conferences during 2018. The authors presented several important aspects of the project FITPED. The following papers have been published in the proceedings, which are indexed in the Scopus and Web of Science Databases:

• Skalka, J. & Drlík, M. (2018). Educational Model for Improving Programming Skills based on Conceptual Microlearning Framework. In: ICL 2018. 21th International Conference on Interactive Collaborative Learning, 25-28 September 2018, Kos Island, Greece, p. 490-501 – ISSN 2194-5357.
• Skalka, J. & Drlík, M. (2018). Priscilla – Proposal of System Architecture for Programming Learning and Teaching Environment. In: The IEEE 12th International Conference Application of Information and Communication Technologies 17-19 Oct 2018. Almaty, Kazakhstan. ISBN 978-1-5386-0501-1.
• Skalka, J. (2018). Data processing methods in the development of the microlearning-based framework for teaching programming languages. In: DIVAI 2018: Proceedings from 12th International Scientific Conference on Distance Learning in Applied Informatics, Štúrovo 2. – 4. May 2018; Eds. Milan Turčáni et al. – 1. ed. – Praha: Wolters Kluwer ČR, 2018. P. 504-511 – ISBN 978-80-7598-059-5.
• Obonya, J. & Kapusta, J. (2018). Identification of Important Activities for Teaching Programming Languages by Decision Trees. In: DIVAI 2018: Proceedings from 12th International Scientific Conference on Distance Learning in Applied Informatics, Štúrovo 2. – 4. May 2018; Eds. Milan Turčáni et al. – 1. ed. – Praha: Wolters Kluwer ČR, 2018. – P. 481-490. – ISBN 978-80-7598-059-5.
• Obonya, J. & Kapusta, J. (2018). Data visualization to discover the activity and changing the teachers’ point of view in a particular LMS system. In: 12th International Technology, Education and Development Conference in Valencia, Spain. 5-7 March 2018. P. 4608-4613. ISBN: 978-84-697-9480-7 / ISSN: 2340-1079.
• Skalka, J. & Drlík, M. (2018). Conceptual framework of microlearning-based training mobile application for improving programming skills. In: Advances in Intelligent Systems and Computing: IMCL 2017. 11th International Conference on Interactive Mobile Communication Technologies and Learning, Thessaloniki; Greece; – Berlín: Springer Verlag, 2018. – ISBN 978-331975174-0. – ISSN 2194-5357, Vol. 725, p. 213-224.DOI 10.1007/978-3-319-75175-7_22.