معرفی
Mihai Dascălu is a faculty member at the Faculty of Automatic Control and Computers, University Politehnica of Bucharest, with additional affiliation at the Academy of Romanian Scientists. His work spans Natural Language Processing, Intelligent Tutoring Systems, and Learning Analytics, focusing on automated comprehension modeling, text summarization, and psychomotor training systems.
- Research Interests: Reading comprehension, cohesion network analysis, large language models (ChatGPT), automated assessment, dialogism in education, and psychomotor skill development.
- Key Contributions: Development of the ReaderBench framework for collaborative learning analysis, validation studies integrating AI with educational psychology, and datasets for large-N educational research.
- Publications: 62 items (2008–2024), including 15 recent works on multitask scoring, domain adaptation, and AI-driven educational tools.
- Collaborations: Frequent co-authorship with Dragos Corlatescu, Laurentiu Neagu, Stefan Ruseti, and Robert Botarleanu across institutions like Arizona State University, Mines ParisTech, and Romanian Academy.
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