A Dashboard for University Student Guidance
We develope an interactive dashboard to support academic advising through personalized, data-driven insights.
@inproceedings{BaucksSchmuckerWiskott2024, author = {Baucks, Frederik and Schmucker, Robin and Wiskott, Laurenz}, title = {*Best Paper Nominee* Gaining Insights into Course Difficulty Variations Using Item Response Theory}, booktitle = {LAK24: 14th International Learning Analytics and Knowledge Conference}, pages = {450–461}, publisher = {Association for Computing Machinery}, address = {New York, NY, USA}, month = {March}, year = {2024}, doi = {10.1145/3636555.3636902}, }
@inproceedings{BaucksSchmuckerBorchersEtAl2024, author = {Baucks, Frederik and Schmucker, Robin and Borchers, Conrad and Pardos, Zachary A. and Wiskott, Laurenz}, title = {Gaining Insights into Group-Level Course Difficulty via Differential Course Functioning}, booktitle = {Proceedings of the Eleventh ACM Conference on Learning @ Scale}, pages = {165–176}, publisher = {Association for Computing Machinery}, series = {L@S ′24}, address = {New York, NY, USA}, year = {2024}, doi = {10.1145/3657604.3662028}, }
@inbook{BaucksWiskott2024, author = {Baucks, Frederik and Wiskott, Laurenz}, title = {Empowering Advisors: Designing a Dashboard for University Student Guidance}, editor = {Salden, Peter and Leschke, Jonas}, pages = {27–44}, publisher = {Springer Fachmedien Wiesbaden}, address = {Wiesbaden}, year = {2024}, doi = {10.1007/978-3-658-42993-5_2}, }
@inproceedings{BaucksWiskott2023, author = {Baucks, Frederik and Wiskott, Laurenz}, title = {*Best Paper Nominee* Mitigating Biases using an Additive Grade Point Model: Towards Trustworthy Curriculum Analytics Measures}, booktitle = {21. Fachtagung Bildungstechnologien (DELFI)}, pages = {41–52}, publisher = {Gesellschaft für Informatik e.V.}, address = {Bonn}, year = {2023}, doi = {10.18420/delfi2023-12}, }
@inproceedings{BaucksWiskott2022, author = {Baucks, Frederik and Wiskott, Laurenz}, title = {Simulating Policy Changes in Prerequisite-Free Curricula: A Supervised Data-Driven Approach}, booktitle = {Proceedings of the 15th International Conference on Educational Data Mining}, pages = {470–476}, publisher = {International Educational Data Mining Society}, month = {July }, year = {2022}, doi = {10.5281/zenodo.6853177}, }
@inproceedings{BaucksSchmuckerWiskott2024, author = {Baucks, Frederik and Schmucker, Robin and Wiskott, Laurenz}, title = {*Best Paper Nominee* Gaining Insights into Course Difficulty Variations Using Item Response Theory}, booktitle = {LAK24: 14th International Learning Analytics and Knowledge Conference}, pages = {450–461}, publisher = {Association for Computing Machinery}, address = {New York, NY, USA}, month = {March}, year = {2024}, doi = {10.1145/3636555.3636902}, }
@inproceedings{BaucksSchmuckerBorchersEtAl2024, author = {Baucks, Frederik and Schmucker, Robin and Borchers, Conrad and Pardos, Zachary A. and Wiskott, Laurenz}, title = {Gaining Insights into Group-Level Course Difficulty via Differential Course Functioning}, booktitle = {Proceedings of the Eleventh ACM Conference on Learning @ Scale}, pages = {165–176}, publisher = {Association for Computing Machinery}, series = {L@S ′24}, address = {New York, NY, USA}, year = {2024}, doi = {10.1145/3657604.3662028}, }
@inbook{BaucksWiskott2024, author = {Baucks, Frederik and Wiskott, Laurenz}, title = {Empowering Advisors: Designing a Dashboard for University Student Guidance}, editor = {Salden, Peter and Leschke, Jonas}, pages = {27–44}, publisher = {Springer Fachmedien Wiesbaden}, address = {Wiesbaden}, year = {2024}, doi = {10.1007/978-3-658-42993-5_2}, }
@unpublished{BaucksWiskott2023b, author = {Baucks, Frederik and Wiskott, Laurenz}, title = {Von der Forschung in die Praxis: Entwicklung eines Dashboards für die Studienberatung}, month = {August}, year = {2023}, }
@inproceedings{BaucksLeschkeMetzgerEtAl2023, author = {Baucks, Frederik and Leschke, Jonas and Metzger, Christian and Wiskott, Laurenz}, title = {Ein Dashboard für die Studienberatung: Technische Infrastruktur und Studienverlaufsplanung im Projekt KI:edu.nrw}, booktitle = {Workshop Proceedings of the 21th Fachtagung Bildungstechnologien (DELFI)}, pages = {185–188}, publisher = {Gesellschaft für Informatik e.V.}, address = {Bonn}, year = {2023}, }
@inproceedings{BaucksWiskott2023, author = {Baucks, Frederik and Wiskott, Laurenz}, title = {*Best Paper Nominee* Mitigating Biases using an Additive Grade Point Model: Towards Trustworthy Curriculum Analytics Measures}, booktitle = {21. Fachtagung Bildungstechnologien (DELFI)}, pages = {41–52}, publisher = {Gesellschaft für Informatik e.V.}, address = {Bonn}, year = {2023}, doi = {10.18420/delfi2023-12}, }
@misc{Baucks*Schmucker*Wiskott2023, author = {Baucks*, Frederik and Schmucker*, Robin and Wiskott, Laurenz}, title = {Tracing Changes in University Course Difficulty Using Item-Response Theory}, howpublished = {AAAI Workshop on AI for Education: https://ai4ed.cc/workshops/aaai2023}, year = {2023}, }
@inproceedings{BaucksWiskott2022, author = {Baucks, Frederik and Wiskott, Laurenz}, title = {Simulating Policy Changes in Prerequisite-Free Curricula: A Supervised Data-Driven Approach}, booktitle = {Proceedings of the 15th International Conference on Educational Data Mining}, pages = {470–476}, publisher = {International Educational Data Mining Society}, month = {July }, year = {2022}, doi = {10.5281/zenodo.6853177}, }
Lab courses | An Introduction to Python for Data Analysis |
Lab courses | Introduction to Python |
We develope an interactive dashboard to support academic advising through personalized, data-driven insights.
We analyze how course difficulty varies across student groups and over time using various methods from Curriculum Analytics. It aims to uncover hidden inequities and support fairer, data-driven curriculum decisions.
In higher education, curricula define the structure of study programs. Changing them can have a major impact on the students following these programs. This project develops a simulation framework to estimate the impact of potential curriculum changes, such as the recommended workload and exam scheduling.
The Institut für Neuroinformatik (INI) is a research unit of the Faculty of Computer Science at the Ruhr-Universität Bochum. Its scientific goal is to understand the fundamental principles through which organisms generate behavior and cognition while linked to their environments through sensory and effector systems. Inspired by our insights into such natural cognitive systems, we seek new solutions to problems of information processing in artificial cognitive systems. We draw from a variety of disciplines that include experimental psychology and neurophysiology as well as machine learning, neural artificial intelligence, computer vision, and robotics.
Universitätsstr. 150, Building NB, Room 3/32
D-44801 Bochum, Germany
Tel: (+49) 234 32-28967
Fax: (+49) 234 32-14210