RT info:eu-repo/semantics/article
T1 A Rule-Based Expert System for Teachers’ Certification in the Use of Learning Management Systems
A1 Regueras Santos, Luisa María
A1 Verdú Pérez, María Jesús
A1 Castro Fernández, Juan Pablo de
K1 Academic Analytics; Automatic Course Classification; Learning Management Systems; Rule-based System; Expert System
AB In recent years and accelerated by the arrival of the COVID-19 pandemic, Learning Management Systems (LMS) are increasingly used as a complement to university teaching. LMS provide an important number of resources and activities that teachers can freely select to complement their teaching, which means courses with different usage patterns difficult to characterize. This study proposes an expert system to automatically classify courses and certify teachers’ LMS competence from LMS logs. The proposed system uses clustering to stablish the classification scheme. From the output of this algorithm, it defines the rules used to classify courses. Data registered from a university virtual campus with 3,303 courses and two million interactive events have been used to obtain the classification scheme and rules. The system has been validated against a group of experts. Results show that it performs successfully. Therefore, it can be concluded that the system can automatically and satisfactorily evaluate and certify the teachers’ LMS competence evidenced in their courses.
SN 1989-1660
YR 2022
FD 2022
LK https://uvadoc.uva.es/handle/10324/65512
UL https://uvadoc.uva.es/handle/10324/65512
LA eng
NO Luisa M. Regueras, María Jesús Verdú & Juan-Pablo de Castro, A Rule-Based Expert System for Teachers’ Certification  in the Use of Learning Management Systems, International Journal of Interactive Multimedia and Artificial Intelligence, 7(7), 75-81, 2022
DS UVaDOC
RD 13-may-2024