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<!DOCTYPE html>
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Frederik Baucks</title>
<link rel="stylesheet" href="style_publications.css">
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<body>
<div class="header">
<h1><a href="index.html">Frederik Baucks</a></h1>
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<ul>
<li><a href="cv.html">CV</a></li>
<li><a href="publications.html" class="active">Publications</a></li>
</ul>
</div>
</div>
<div class="main-content">
<h2>Publications</h2>
<p>
Welcome to my portfolio of publications, where advanced data analytics and machine learning
intersect with educational strategies. Here, you'll find my research on using Item Response
Theory to assess course difficulty variations, contributing to enhanced curriculum design.
Among the featured works is the development of a dashboard tool for academic counseling, which
serves as a bridge between theoretical research and practical application. Highlighted as well
is my work mitigating biases for curriculum analytics measures with an additive grade point model.
</p>
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<p>Last updated on 11/30/23</p>
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<div class="sidebar">
<img src="assets/profile.jpg" alt="Frederik Baucks" class="header-img">
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<div class="publications">
<ul>
<li><span class="best-paper">Baucks, F.</span>, & Wiskott, L. (2024, July). Empowering Advisors: Designing a Dashboard for University Student Guidance. In P. Salden & Leschke, J. (Eds.), Learning Analytics und Künstliche Intelligenz in Studium und Lehre. Erfahrungen und Schlussfolgerungen aus einer hochschulweiten Erprobung, accepted. Wiesbaden, Germany: Springer VS Fachmedien.</li>
<li><span class="best-paper">Baucks*, F.</span>, Schmucker*, R., & Wiskott, L. (2024, March). Gaining Insights into Course Difficulty Variations Using Item Response Theory. LAK24: 14th International Learning Analytics and Knowledge Conference, accepted. New York, NY, USA: Association for Computing Machinery.</li>
<li><span class="best-paper">Baucks, F.</span>, & Wiskott, L. (2023). Von der Forschung in die Praxis: Entwicklung eines Dashboards für die Studienberatung.</li>
<li><span class="best-paper">Baucks, F.</span>, Leschke, J., Metzger, C., & Wiskott, L. (2023). Ein Dashboard für die Studienberatung: Technische Infrastruktur und Studienverlaufsplanung im Projekt KI:edu.nrw. Workshop Proceedings of the 21th Fachtagung Bildungstechnologien (DELFI), Accepted. Bonn: Gesellschaft für Informatik e.V.</li>
<li><span class="best-paper">Baucks, F.</span>, & Wiskott, L. (2023). <span class="best-paper">*Best Paper Nominee*</span> Mitigating Biases using an Additive Grade Point Model: Towards Trustworthy Curriculum Analytics Measures. 21. Fachtagung Bildungstechnologien (DELFI), 41–52. doi:10.18420/delfi2023-12</li>
<li><span class="best-paper">Baucks*, F.</span>, Schmucker*, R., & Wiskott, L. (2023). Tracing Changes in University Course Difficulty Using Item-Response Theory.</li>
<li><span class="best-paper">Baucks, F.</span>, & Wiskott, L. (2022). Simulating Policy Changes in Prerequisite-Free Curricula: A Supervised Data-Driven Approach. Proceedings of the 15th International Conference on Educational Data Mining, 470–476. doi:10.5281/zenodo.6853177</li>
</ul>
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<p>Contact: <a href="mailto:[email protected]">E-Mail</a> -
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