Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Jakub Kuzilek"'
Publikováno v:
PLoS ONE, Vol 9, Iss 6, p e98450 (2014)
We have developed a method focusing on ECG signal de-noising using Independent component analysis (ICA). This approach combines JADE source separation and binary decision tree for identification and subsequent ECG noise removal. In order to to test t
Externí odkaz:
https://doaj.org/article/204945ac48f54642b99721b7df9e0392
Publikováno v:
Journal of Computer Assisted Learning. 39:255-268
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9329fea35eb62a81155fa63f2f45dd2c
https://doi.org/10.1111/jcal.12744
https://doi.org/10.1111/jcal.12744
Autor:
Fernando Marmolejo‐Ramos, Mauricio Tejo, Marek Brabec, Jakub Kuzilek, Srecko Joksimovic, Vitomir Kovanovic, Jorge González, Thomas Kneib, Peter Bühlmann, Lucas Kook, Guillermo Briseño‐Sánchez, Raydonal Ospina
Publikováno v:
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 13 (1)
The advent of technological developments is allowing to gather large amounts of data in several research fields. Learning analytics (LA)/educational data mining has access to big observational unstructured data captured from educational settings and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b06653340d9acd0ad1a22a1e7cb6c198
Publikováno v:
Future Generation Computer Systems. 125:661-671
The Faculty of Mechanical Engineering, Czech Technical University in Prague (FME) faces a significant student drop-out in the first-year bachelor programme, which is an actual problem for many higher education institutions. Metacognitive processes pl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b835c1f70c615846f2910a5d40329150
https://doi.org/10.1016/j.future.2021.07.009
https://doi.org/10.1016/j.future.2021.07.009
Publikováno v:
International Journal of Artificial Intelligence in Education.
Student drop-out is one of the most critical issues that higher educational institutions face nowadays. The problem is significant for first-year students. These freshmen are especially at risk of failing due to the transition from different educatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5bf5069d023d5f36c4a44b9b59f8fd04
https://doi.org/10.1007/s40593-022-00303-4
https://doi.org/10.1007/s40593-022-00303-4
Publikováno v:
LAK
At present, universities collect study-related data about their students. This information can be used to support students at risk of failing their studies. At the Faculty of Mechanical Engineering (FME), Czech Technical University in Prague (CTU), t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be0b4cc26edf99a0017036984e75fa32
https://doi.org/10.1145/3375462.3375469
https://doi.org/10.1145/3375462.3375469
Autor:
Peter de Lange, Alexander Tobias Neumann, Ralf Klamma, Jakub Kuzilek, Milos Kravcik, Benedikt Hensen, Xia Wang
Publikováno v:
Intelligent Tutoring Systems ISBN: 9783030496623
ITS
ITS
Mentoring is the activity when an experienced person (the mentor) supports a less knowledgeable person (the mentee), in order to achieve the learning goal. In a perfect world, the mentor would be always available when the mentee needs it. However, in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a23b5df6cd97cc2e73f6a1cb597ef3b9
https://doi.org/10.1007/978-3-030-49663-0_6
https://doi.org/10.1007/978-3-030-49663-0_6
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030297350
EC-TEL
EC-TEL
Almost all higher educational institutions use Virtual Learning Environments (VLE) for the delivery of educational content to the students. Those systems collect information about student behaviour, and university can take advantage of analysing such
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d99218a0fea7bec43f49b3b3e090582
https://doi.org/10.1007/978-3-030-29736-7_45
https://doi.org/10.1007/978-3-030-29736-7_45
Publikováno v:
Lifelong Technology-Enhanced Learning ISBN: 9783319985718
EC-TEL
EC-TEL
Nowadays, the higher education institutions experience the problem of the student drop-out. In response to this problem, universities started employing analytical dashboards and educational data mining methods such as machine learning, to detect stud
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::74e4acbf50509b38483dd2893428b135
https://doi.org/10.1007/978-3-319-98572-5_48
https://doi.org/10.1007/978-3-319-98572-5_48
Publikováno v:
Lifelong Technology-Enhanced Learning ISBN: 9783319985718
EC-TEL
EC-TEL
With the rapid advancement of Virtual Learning Environments (VLE) in higher education, the amount of available student data grows. Universities collect the information about students, their demographics, their study results and their behaviour in the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dc1273c0b280fd35a2efba84e85040bb
https://doi.org/10.1007/978-3-319-98572-5_13
https://doi.org/10.1007/978-3-319-98572-5_13