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Título del libro:
Título del capítulo: Spatial Analysis of Student Feedback on Learning Management Systems in Mathematics: Leveraging GIS for Enhanced Insights

Autores UNAM:
EDUARDO ELOY LOZA PACHECO; MAYRA OLGUIN ROSAS; DULCE LOURDES LOZA PACHECO; MAYRA LORENA DIAZ SOSA; GEORGINA ESLAVA GARCIA; CHRISTIAN CARLOS DELGADO ELIZONDO;
Autores externos:

Idioma:

Año de publicación:
2025
Palabras clave:

Adversarial machine learning; Federated learning; Natural language processing systems; Online searching; Students; Hybrid course; Learn+; Learning management system; Learning objects; Natural process; Natural process language; Process languages; Smart education; Spatial analysis; Student feedback; Contrastive Learning


Resumen:

The use of Learning Management Systems is Important in Hybrid courses especially in Mathematics. In addition to that since the COVID LMS are a important mechanism to enforce the learning at home for students. However, the feedback from students is important to adapt the learning objects so students can learn and study in a more effective way. On the Other hand, Geographic Information Systems helps to represent a reason spatial information to give more accurate information about where objects are located. Natural Process Language has different applications for example to understand written and speak language. It is use in web search engines, translate, intelligent assistants. The present work with GIS and NLP is used to measure the level of effectiveness a LMS called TEDI have in students of Mathematics by analyzing their locations, responses in order to build the LMS system more effective to students. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.


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