Julieta Noguez
Tecnológico de Monterrey, Universidad Nacional Autónoma de México
Papers
8
Total Citations
125
H-Index
6
About
Julieta Noguez is a leading researcher at the intersection of artificial intelligence, affective computing, and engineering education, with a particular focus on mobile robotics and virtual laboratories. Her pioneering work has fundamentally transformed how students learn complex technical subjects by integrating intelligent tutoring systems with emotionally aware pedagogical models. Noguez’s most influential contributions include the development of probabilistic relational student models for virtual laboratories and the incorporation of affective models into intelligent tutors—work that has garnered over 26 citations each. She demonstrated that when a tutor recognizes and responds to a student’s emotional state, motivation and learning outcomes improve significantly. Noguez also championed project-oriented learning strategies within semi-open learning environments, allowing students to explore and experiment in virtual labs while achieving clear learning objectives. Her recent work extends into surgical training, where she applies AI techniques for training, assessment, and evaluation, as highlighted in her 2025 scoping review. Through her innovative combination of virtual laboratories, intelligent tutoring, and affective modeling, Noguez has created more engaging, effective, and personalized educational experiences that bridge the gap between theoretical knowledge and practical application.
Research Focus
Key Achievements
Top Papers
- 1Incorporating an Affective Model to an Intelligent Tutor for Mobile Robotics26 citations · 2006
- 2
- 3A Probabilistic Relational Student Model for Virtual Laboratories26 citations · 2006
- 4A Semi-open Learning Environment for Virtual Laboratories15 citations · 2005
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- 6A Probabilistic Relational Student Model for Virtual Laboratories10 citations · 2007
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