RubiSCoT: A Framework for AI-Supported Academic Assessment

Lecture notes on data engineering and communications technologies 2026

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Authors: Thorsten Fröhlich, Tim Schlippe
DOI: 10.1007/978-981-95-4423-3_20
Cited by: 2
References: 29

Fields of Study & Subjects

Expert finding and Q&A systems Student Assessment and Feedback Topic Modeling

Publication details

Journal / source
Lecture notes on data engineering and communications technologies
Publisher
Springer Nature Singapore
Pages
309–331
Publication date
1 January 2026
Language
EN