Estudios Generales

 

Envíos recientes

  • Digital Technology in Higher Education: Identification of Surfaces in Space Generated by Functions of Two Variables 

    Vivas Pachas, Jorge Luis; Trujillo, Edwin Cristian Julián; Flores Salazar, Jesús Victoria; Saravia-Molina, Nancy (Springer, 2023)
    This forms part of a research project to characterize the mathematical work performed by higher education students in developing a didactic sequence, through digital technology, in which they mobilize the concept of surfaces ...

  • Collaborative learning and text production of original texts 

    Montoya Cantoral, Elisa; Gómez Carbonel, Piero; Niño Cueva, Moisés Ronal; Villaba-Condori, Klinge Orlando; Silva Sprock, Antonio; Niño Cueva, Danes Carlos Enrique (IEEE, 2022)
    University education faces several challenges and difficulties in the development of soft skills in students, especially in the ability to work in a team and communicate their ideas with coherence and cohesion through ...

  • A problem-oriented method for supporting AEH authors through data mining 

    Bravo, Javier; Vialardi Sacín, César; Ortigosa, Álvaro (Universidad Técnica de Aachen, 2007)
    One of the main problems with Adaptive Educational Hypermedia Systems (AEHS) is that is very difficult to test whether adaptation decisions are beneficial for all the students or some of them would benefit from a different ...

  • ASquare: A powerful evaluation tool for adaptive hypermedia course system 

    Bravo, Javier; Vialardi Sacín, César; Ortigosa, Álvaro (ACM, 2008)
    Currently many methods and tools are being developed to support e-Learning courses. On the one hand, they are used to help students. On the other, a few applications are being developed to help course designers and ...

  • Recommendation in higher education using data mining techniques 

    Vialardi Sacín, César; Braver, Javier; Shaftr, Leila; Ortigosa, Álvaro (Universidad de Cordoba, 2009)
    One of the main problems faced by university students is to take the right decision in relation to their academic itinerary based on available information (for example courses, schedules, sections, classrooms and professors). ...

  • A Case Study: Data Mining Applied to Student Enrollment 

    Vialardi Sacín, César; Chue Gallardo, Jorge; Barrientos Padilla, Alfredo; Victoria, Daniel; Estrella, Jhonny; Peche, Juan Pablo; Ortigosa, Álvaro (Educational Data Mining, 2010)
    One of the main problems faced by university students is deciding the right learning path based on available information such as courses, schedules and professors. In this context, this paper presents a recommender system ...