-
Notifications
You must be signed in to change notification settings - Fork 0
/
index.xml
68 lines (57 loc) · 4.41 KB
/
index.xml
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
<channel>
<title>About on Jakub Kuzilek</title>
<link>https://jakubkuzilek.github.io/</link>
<description>Recent content in About on Jakub Kuzilek</description>
<generator>Hugo -- gohugo.io</generator><atom:link href="https://jakubkuzilek.github.io/index.xml" rel="self" type="application/rss+xml" />
<item>
<title>About</title>
<link>https://jakubkuzilek.github.io/about/</link>
<pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
<guid>https://jakubkuzilek.github.io/about/</guid>
<description>About Me I am Prague (CZ) based postdoc researcher focusing on Educational Data Mining and Learning Analytics. I am interested in machine learning, signal processing, and R. Let&rsquo;s start scrolling and learn more.
I am postdoc researcher at Czech Technical University in Prague. Since completion of my Ph.D. in Biomedical Signal Processing using Blind Source Separation methods I am focusing on Educational Data Mining and Learning Analytics research. This switch was caused by professor Zdenek Zdrahal from Knowledge Media Institute (Open University) who invited me to work with him on Data Mining of student data in project OU Analyse.</description>
</item>
<item>
<title>Contact</title>
<link>https://jakubkuzilek.github.io/contact/</link>
<pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
<guid>https://jakubkuzilek.github.io/contact/</guid>
<description>Contact Email: [email protected]
Phone: +49 30 2093-41119
Consultation Hours By appointment only
Tuesday 12:00 - 15:00
Mailing Address Rudower Chaussee 25, Room 3.415
Berlin
Germany
Social Scholar LinkedIn ResearchGate </description>
</item>
<item>
<title>Publications</title>
<link>https://jakubkuzilek.github.io/publications/</link>
<pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
<guid>https://jakubkuzilek.github.io/publications/</guid>
<description>Publications 2024 Cavus, M., &amp; Kuzilek, J. (2024) The Actionable Explanations for Student Success Prediction Models: A Benchmark Study on the Quality of Counterfactual Methods. Human-Centric eXplainable AI in Education Workshop at 17th Educational Data Mining Conference 2024.
Palomino, A., Fischer, A., Kuzilek, J., Nitsch, J., Pinkwart, N., &amp; Paaßen, B. (2024) EdTec-QBuilder: A Semantic Retrieval Tool for Assembling Vocational Training Exams in German Language. Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 3: System Demonstrations).</description>
</item>
<item>
<title>Research</title>
<link>https://jakubkuzilek.github.io/research/</link>
<pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
<guid>https://jakubkuzilek.github.io/research/</guid>
<description>Research Learning Analytics Educational Data mining Explainable AI Machine Learning Projects Year Project Funding source Role 2011 Multimedia support for ECG signal processing education University Development Foundation (CTU) Principal Investigator 2012 Multimedia support for accessible web education University Development Foundation (CTU) Principal Investigator 2010 - 2012 New approaches in acquisition, evaluation and use of biological data University Development Foundation Researcher 2013 - 2016 New approaches in acquisition, evaluation and use of biological data II.</description>
</item>
<item>
<title>Teaching</title>
<link>https://jakubkuzilek.github.io/teaching/</link>
<pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
<guid>https://jakubkuzilek.github.io/teaching/</guid>
<description>Teaching Learning Analytics (dashboards) Group work seminar on the development of own Learning Analytics Dashboard using Open University Learning Analytics Dataset as underlying data source.
Template solution Resources
Machine Learning for Education Course focus on getting overall understanding of Machine Learning and its application in Education via external lectures and practical seminars.
Resources
Mentoring Individual projects Individual research project for one semester. I got a bunch of exciting topics for the project.</description>
</item>
</channel>
</rss>