other · Americanae (AECID Library) · 2015
Student profiling model for the "Computer Programming" course
Peñuela Vega, Camilo Orlando
Cited by 0Abstract and details only
Abstract
Abstract. The research work presents a student profiling model, and the results after applying it to the "Computer Programming" course, which is developed partially virtual through the Virtual Intelligent Learning Platform, this is an E-Learning system that allows the students to consult the course material and to take the tests. The model identifies the profiles based on socio-economic data (age and gender), and students' behavior when using the Platform (Number of accesses to documents, exercises or videos, percentage of accesses performed in class, average session length and average absence time). The profiles found are analyzed in order to define if they are connected to the academic performance. Data of around 1000 students (those enrolled in 2014) and 20500 sessions, were used. The profiles were found through the k-Means clustering algorithm. Per each profile, the common sequences of navigation were identified. A warnings system is proposed, it uses a lazy classifier to assign a profile to the current student, and based on this profile, give timely feedback by showing alerts. A recommender system is proposed, it shows suggestions of resources that should be accessed, in order to improve the academic performance.
Cite this paper
Peñuela Vega, C. O. (2015). Student profiling model for the "Computer Programming" course. Americanae (AECID Library).
Peñuela Vega, Camilo Orlando. “Student profiling model for the "Computer Programming" course.” Americanae (AECID Library), 2015.
Peñuela Vega, Camilo Orlando. 2015. “Student profiling model for the "Computer Programming" course.” Americanae (AECID Library).
Peñuela Vega, C.O. (2015) ‘Student profiling model for the "Computer Programming" course’, Americanae (AECID Library).
@misc{penuelavega2015student,
title = {{Student profiling model for the "Computer Programming" course}},
author = {Peñuela Vega, Camilo Orlando},
journal = {Americanae (AECID Library)},
year = {2015}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.