[vc_row][vc_column][vc_column_text] << Return to Programme Session 5B: Predictive analytics and data governance Chair: TBA 11:00-11:30 Physiological Data for Academic Performance Prediction: A Systematic Literature Review Mathieu Chambard, Benoît Encelle, Karim Sehaba, and Béatrice Fuchs 11:30-12:00 Deep Learning Architectures for Predictive Tasks in Learning Analytics: A Systematic Mapping and Architectural Analysis
Start
18/09/2026 - 11:00
End
18/09/2026 - 12:30
Address
Room 1.4 View mapSession 5B: Predictive analytics and data governance
Chair: TBA
11:00-11:30
Physiological Data for Academic Performance Prediction: A Systematic Literature Review
Mathieu Chambard, Benoît Encelle, Karim Sehaba, and Béatrice Fuchs
Physiological Data for Academic Performance Prediction: A Systematic Literature Review
Mathieu Chambard, Benoît Encelle, Karim Sehaba, and Béatrice Fuchs
11:30-12:00
Deep Learning Architectures for Predictive Tasks in Learning Analytics: A Systematic Mapping and Architectural Analysis
Alejandro Felipe Zárate Pérez, Boris Escalante Ramírez, Idalia Flores, and Jimena Olveres
Deep Learning Architectures for Predictive Tasks in Learning Analytics: A Systematic Mapping and Architectural Analysis
Alejandro Felipe Zárate Pérez, Boris Escalante Ramírez, Idalia Flores, and Jimena Olveres
12:00-12:30
Who holds your students’ data? A study on the use of LLMs in Technology-Enhanced Learning
Pablo Arnau-González, David Gimeno-Gómez, Alejandro Canovas Solbes, and Stamos Katsigiannis
Who holds your students’ data? A study on the use of LLMs in Technology-Enhanced Learning
Pablo Arnau-González, David Gimeno-Gómez, Alejandro Canovas Solbes, and Stamos Katsigiannis