Collaborative Filtering Recommender System pada Virtual 3D Kelas Cendekia

 Intelligent Clasrooms is a concept of modern learning process where users can perform collaborative learning wherever and whenever. With learning in Intelligent Classroom, users can get different learning experience where learning process is expected to run more effectively and efficiently. One application of the Intelligent Classrooms concept is learning by utilizing the virtual world. The information collected in the Intelligent Classroom will increase so that a system is needed. The recommendation system of collaborative filtering is the most appropriate system with the intellectual class. With the sparsity of training rate of 80%, it is implemented a collaborative filtering recommendation system with error rate which if calculated with RMSE is 1.060709 or it can be said that the accuracy level is 78.79%

Diseño de un aplicativo web que recomiende asignaturas electivas a estudiantes de ingeniería industrial de la Pontificia Universidad Javeriana

Las asignaturas electivas buscan el desarrollo integral de los estudiantes, la Pontificia Universidad Javeriana ofrece una gran cantidad de opciones, lo que, usualmente, dificulta el proceso de elección e inscripción de este tipo de asignaturas. Este problema lleva a los estudiantes a retirar las asignaturas o ver asignaturas electivas cuyo contenido no es de su agrado. Estas situaciones no promueven, necesariamente, el proceso de formación integral. Por esta razón, se hace necesaria una herramienta que recomiende asignaturas electivas a los estudiantes, según sus preferencias de aprendizaje. Este problema se va abordar a través de un algoritmo de recomendación mixto que base su predicción en el historial académico de los estudiantes. Se realizó una implementación web de este sistema de recomendación para facilitar el proceso de elección e inscripción de asignaturas electivas, promoviendo, la esencia de la educación integral.Elective subjects seek the student’s integral development, the Pontificia Universidad Javeriana offers a great amount of options, which, usually, makes the election and inscription processes of this kind of subjects more difficult. This problem leads the students to withdraw the subjects or to enroll into subjects whose contents do not reflect their likings. These situations don’t necessarily promote the process of integral formation. This reason makes necessary a tool that recommends elective subjects to students, according to their learning preferences. And the problem will be addressed through a hybrid recommender algorithm that bases its prediction on students' academic records. A web implementation of this recommendation system was made to facilitate the process of electing and registering elective subjects, promoting the essence of integral education.Ingeniero (a) IndustrialPregrad