A rule-based expert system for teachers’ certification in the use of learning management systems

  1. Luisa M. Regueras 1
  2. María Jesús Verdú 1
  3. Juan-Pablo de Castro 1
  1. 1 Universidad de Valladolid
    info

    Universidad de Valladolid

    Valladolid, España

    ROR https://ror.org/01fvbaw18

Revista:
IJIMAI

ISSN: 1989-1660

Año de publicación: 2022

Volumen: 7

Número: 7

Páginas: 75-81

Tipo: Artículo

DOI: 10.9781/IJIMAI.2022.11.004 DIALNET GOOGLE SCHOLAR lock_openDialnet editor

Otras publicaciones en: IJIMAI

Indicadores

Citas recibidas

  • Citas en Scopus: 2 (26-02-2024)
  • Citas en Web of Science: 1 (09-10-2023)
  • Citas en Dimensions: 1 (07-02-2024)

JCR (Journal Impact Factor)

  • Año 2022
  • Factor de impacto de la revista: 3.6
  • Factor de impacto sin autocitas: 3.2
  • Article influence score: 0.473
  • Cuartil mayor: Q3
  • Área: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Cuartil: Q3 Posición en el área: 73/145 (Edicion: SCIE)
  • Área: COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Cuartil: Q3 Posición en el área: 56/110 (Edicion: SCIE)

SCImago Journal Rank

  • Año 2022
  • Impacto SJR de la revista: 0.58
  • Cuartil mayor: Q2
  • Área: Computer Networks and Communications Cuartil: Q2 Posición en el área: 147/373
  • Área: Computer Vision and Pattern Recognition Cuartil: Q2 Posición en el área: 42/100
  • Área: Signal Processing Cuartil: Q2 Posición en el área: 52/115
  • Área: Computer Science Applications Cuartil: Q2 Posición en el área: 336/782
  • Área: Statistics and Probability Cuartil: Q2 Posición en el área: 112/258
  • Área: Artificial Intelligence Cuartil: Q3 Posición en el área: 144/284

Scopus CiteScore

  • Año 2022
  • CiteScore de la revista: 2.1
  • Área: Statistics and Probability Percentil: 55
  • Área: Computer Science Applications Percentil: 34
  • Área: Computer Vision and Pattern Recognition Percentil: 34
  • Área: Computer Networks and Communications Percentil: 33
  • Área: Signal Processing Percentil: 31
  • Área: Artificial Intelligence Percentil: 27

Journal Citation Indicator (JCI)

  • Año 2022
  • JCI de la revista: 0.75
  • Cuartil mayor: Q2
  • Área: COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Cuartil: Q2 Posición en el área: 72/163
  • Área: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Cuartil: Q2 Posición en el área: 73/192

Dimensions

(Datos actualizados a fecha de 07-02-2024)
  • Citas totales: 1
  • Citas recientes (2 años): 1
  • Field Citation Ratio (FCR): 0.88

Resumen

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.

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