Zobrazeno 1 - 10
of 70
pro vyhledávání: '"Martin Drlik"'
Autor:
Janka Pecuchova, Martin Drlik
Publikováno v:
IEEE Access, Vol 12, Pp 159336-159367 (2024)
Educational Data Mining and learning analytics have gained significant prominence in recent years, garnering attention from researchers worldwide. This is primarily due to their potential to improve decision-making processes within higher education.
Externí odkaz:
https://doaj.org/article/e8203e3d4e8e4b77bc2069cb7828fa0c
Autor:
Valerii Popovych, Martin Drlik
Publikováno v:
Applied Sciences, Vol 14, Iss 9, p 3615 (2024)
The identification of heterogeneous and homogeneous groups of students using clustering analysis in learning analytics is still rare. The paper describes a study in which the students’ performance data stored in the micro-learning platform Priscill
Externí odkaz:
https://doaj.org/article/e7b0bcc51c5e490287515f33e1a7b493
Autor:
Jan Skalka, Martin Drlik
Publikováno v:
IEEE Access, Vol 11, Pp 106772-106792 (2023)
Increasing the effectiveness of programming education has emerged as an important goal in teaching programming languages in the last decade. Automatic evaluation of the correctness of the student’s source code saves teachers time and effort and all
Externí odkaz:
https://doaj.org/article/40eccb99794643aa957e8514b25d6432
Publikováno v:
IEEE Access, Vol 9, Pp 23795-23813 (2021)
Many contemporary studies realized in the Learning Analytics research field provide substantial insights into the virtual learning environment stakeholders’ behaviour on single-course or small-scale level. They used different knowledge discovery te
Externí odkaz:
https://doaj.org/article/7e4a63764dcc411d91d716b5bf51a499
Publikováno v:
PeerJ Computer Science, Vol 7, p e624 (2021)
Research of the techniques for effective fake news detection has become very needed and attractive. These techniques have a background in many research disciplines, including morphological analysis. Several researchers stated that simple content-rela
Externí odkaz:
https://doaj.org/article/45d3d94a6e5d45abbe6231e145841dc6
Autor:
Martin Drlik, Michal Munk
Publikováno v:
IEEE Access, Vol 7, Pp 3106-3121 (2019)
The learning analytics communities, as well as most learning analytics research, have not frequently focused on time-based trends in the same virtual learning environment over different years of deployment, or on temporal trends in the selection of d
Externí odkaz:
https://doaj.org/article/675a4c76ee7d41d5b9c04c8a5135471b
Publikováno v:
IEEE Access, Vol 5, Pp 8989-9004 (2017)
Educational data preprocessing from log files represents a time-consuming phase of the knowledge discovery process. It consists of data cleaning, user identification, session identification, and path completion phase. This paper attempts to identify
Externí odkaz:
https://doaj.org/article/342b0cd9cdc440c786955da0808e66e6
Autor:
Janka Kabathova, Martin Drlik
Publikováno v:
Applied Sciences, Vol 11, Iss 7, p 3130 (2021)
Early and precisely predicting the students’ dropout based on available educational data belongs to the widespread research topic of the learning analytics research field. Despite the amount of already realized research, the progress is not signifi
Externí odkaz:
https://doaj.org/article/05d3d32d90234380a035d0d377202ebd
Autor:
Jan Skalka, Martin Drlik
Publikováno v:
Applied Sciences, Vol 10, Iss 13, p 4566 (2020)
The number of students who decided to study information technology related study programs is continually increasing. Introductory programming courses represent the most crucial milestone in information technology education and often reflect students
Externí odkaz:
https://doaj.org/article/52ea1e5768914085a32e5e3ac7ccd29b
Autor:
Eugenia Smyrnova-Trybulska, Ewa Ogrodzka-Mazur, Anna Szafrańska-Gajdzica, Ewelina Doluk, Piet Kommers, Nataliia Morze, Tatiana Noskova, Tatiana Pavlova, Olga Yakovleva, Paulo Pinto, Juan Arias Masa, Sixto Cubo Delgado, Gemma Delicado Puerto, Martin Drlik, Tomayess Issa, Maryna Romanyukha
Publikováno v:
International Journal of Research in E-Learning, Vol 1, Iss 1 (2015)
This article, prepared by an international team of researchers from different scientific areas, connected with ICT, e-learning, pedagogy, and other related disciplines, focuses on the objectives and some results of the international project IRNet. In
Externí odkaz:
https://doaj.org/article/c4f9b9589a4e4b53b6e3ff56a71b5a9f