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Humboldt-Universität zu Berlin - Mathematisch-Naturwissenschaftliche Fakultät - Didaktik der Informatik | Informatik und Gesellschaft

Dipl.-Wirt.-Inf. Sebastian Groß

Dipl.-Wirt.-Inf. Sebastian Groß  

Sebastian Groß hat ein Diplom in Wirtschaftsinformatik von der TU Clausthal. In seiner Diplomarbeit hat er sich mit ausgewählten Verfahren der Computerlinguistik im kollaborativen Schreiben beschäftigt. Er arbeitete von Oktober 2011 bis März 2018 am Lehrstuhl und forschte im Bereich intelligenter computergestützter Lernumgebungen (wie z. B. Intelligent Tutoring Systems).

Veröffentlichungen

Journal Articles by S. Gross


Conference Papers


J. Coenen, S. Gross, and N. Pinkwart
Comparison of Feedback Strategies for Supporting Programming Learning in Integrated Development Environments (IDEs)
Advanced Computational Methods for Knowledge Engineering: Proceedings of the 5th International Conference on Computer Science, Applied Mathematics and Applications, ICCSAMA 2017, Springer International Publishing, 2017, ISBN 978-3-319-61911-8
dynafit fit
URL, DOI, ISBN, RIS, BibTex
S. Gross and N. Pinkwart
Konzept-Lernressourcen-Beziehungen als Unterstützung von Selbstreflexion in einem Learning-Analytics-Werkzeug
Proceedings der Pre-Conference-Workshops der 14. E-Learning Fachtagung Informatik co-located with 14th e-Learning Conference of the German Computer Society (DeLFI 2016), CEUR Workshop Proceedings (CEUR-WS.org), 2016
dynafit fit learning analytics werkzeug lernressource visualisierung konzept
URL, RIS, BibTex
S. Gross and N. Pinkwart
Ressourcenorientierte Visualisierungen als Learning-Analytics-Werkzeuge für Lehrende und Lerner
Proceedings of DeLFI Workshops 2015 co-located with 13th e-Learning Conference of the German Computer Society (DeLFI 2015), CEUR Workshop Proceedings (CEUR-WS.org), 2015
dynafit fit learning analytics werkzeug lernressource visualisierung konzept
URL, RIS, BibTex
S. Gross and N. Pinkwart
How Do Learners Behave in Help-Seeking When Given a Choice?
Artificial Intelligence in Education, Springer International Publishing, 2015, ISBN 978-3-319-19772-2
fit intelligent tutoring system help-seeking feedback choice
DOI, ISBN, PDF, RIS, BibTex
S. Gross, B. Mokbel, B. Hammer, and N. Pinkwart
How to Select an Example? A Comparison of Selection Strategies in Example-Based Learning
Proceedings of the 12th International Conference on Intelligent Tutoring Systems (ITS), Springer Verlag, 2014
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DOI, RIS, BibTex
B. Mokbel, S. Gross, B. Paassen, N. Pinkwart, and B. Hammer
Domain-Independent Proximity Measures in Intelligent Tutoring Systems
Proceedings of the 6th International Conference on Educational Data Mining (EDM), 2013
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RIS, BibTex
S. Gross, B. Mokbel, B. Hammer, and N. Pinkwart
Towards a Domain-Independent ITS Middleware Architecture
Proceedings of the 13th IEEE International Conference on Advanced Learning Technologies (ICALT), IEEE Computer Society Press, 2013
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DOI, RIS, BibTex
S. Gross, B. Mokbel, B. Hammer, and N. Pinkwart
Towards Providing Feedback to Students in Absence of Formalized Domain Models
Proceedings of the 16th International Conference on Artificial Intelligence in Education (AIED), Springer Verlag, 2013
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DOI, RIS, BibTex
N. T. Le, S. Strickroth, S. Gross, and N. Pinkwart
A Review of AI-Supported Tutoring Approaches for Learning Programming
Advanced Computational Methods for Knowledge Engineering - Proceedings of the 1st International Conference on Computer Science, Applied Mathematics and Applications (ICCSAMA), Springer Verlag, 2013
computer-supported collaborative learning intelligent tutoring systems programming pair learning
DOI, RIS, BibTex
S. Gross, S. Strickroth, N. Pinkwart, and N. T. Le
Towards Deeper Understanding of Syntactic Concepts in Programming
Workshops Proceedings of the 16th International Conference on Artificial Intelligence in Education Part 9: The First Workshop on AI-supported Education for Computer Science (AIEDCS), CEUR-WS, 2013
URL, RIS, BibTex
S. Gross and N. Pinkwart
Empfehlungsbasierte Unterstützung für Schreibprozesse
Mensch \& Computer 2013: Interaktive Vielfalt. Tagungsband der 13. fachübergreifenden Konferenz für interaktive und kooperative Medien, München, Oldenbourg Verlag, 2013
URL, DOI, RIS, BibTex
B. Mokbel, S. Gross, M. Lux, N. Pinkwart, and B. Hammer
How to Quantitatively Compare Data Dissimilarities for Unsupervised Machine Learning?
Proceedings of the 5th International Workshop on Artificial Neural Networks in Pattern Recognition (ANNPR), Springer Verlag, 2012
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PDF, RIS, BibTex
S. Gross, X. Zhu, B. Hammer, and N. Pinkwart
Cluster Based Feedback Provision Strategies in Intelligent Tutoring Systems
Proceedings of the 11th International Conference on Intelligent Tutoring Systems (ITS), Springer Verlag, 2012
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PDF, RIS, BibTex

Theses


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