A Rule-Based Expert System for Teachers’ Certification in the Use of Learning Management Systems

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

Clustering of LMS Use Strategies with Autoencoders

Learning Management Systems provide teachers with many functionalities to offer materials to students, interact with them and manage their courses. Recognizing teachers’ instructing styles from their course designs would allow recommendations and best practices to be made. We propose a method that determines teaching style in an unsupervised way from the course structure and use patterns. We define a course classification approach based on deep learning and clustering. We first use an autoencoder to reduce the dimensionality of the input data, while extracting the most important characteristics; thus, we obtain a latent representation of the courses. We then apply clustering techniques to the latent data to group courses based on their use patterns. The results show that this technique improves the clustering performance while avoiding the manual data pre-processing work. Furthermore, the obtained model defines seven course typologies that are clearly related to different use patterns of Learning Management Systems

Follicular adenomatoid odontogenic tumor : immunohistochemical study

Adenomatoid odontogenic tumor (AOT) is an uncommon benign odontogenic lesion that affects young patients, with female predominance, mainly in second decade, showing a radiolucent unilocular image associated with an unerupted tooth, usually a canine. In spite of previous and confusing denominations, such as adenoameloblastoma or adenomatoid ameloblastic tumor, AOT is a benign tumor with a very low rate of recurrence, that show a peculiar morphological picture (basaloid appearance with glandular-like structures, calcifying areas, and amiloid-like material) that allow its histopathological recognition. We present a clinicopathological analysis of a case of follicular AOT affecting the mandible in a 9 years-old female patient associated with unerupted lower left canine. Immunohistochemical study showed some data previously unrecognised. All cellular types that composed AOT showed nuclear positivity for p63 indicating a basal characterization in the different cellular components. According to its benign character and low potential for recurrence, AOT revealed a scant proliferative activity (2-3% nuclei showed Ki-67 positivity) limited to some epithelial nodules (AE1-3 +) of fusiform appearance. Absence of reactivity for hormonal receptors (RE and RPg) excluded a possible hormonodependence in AOT that could explain the observed female predominance

TELEADAPT-SOCINF: un espacio virtual de formación para las PYMES

This article describes the work that is being done in the TeleAdapt-SOCINF project, an ADAPT project by the European Social Fund, the regional government of Castile -León and the Centre for Telecommunications Development of Castile-Leon.  Four interactive hypermedia are being developed. These hypermedia, supported by a web-bases learning space will be used to offer continuous training to SMEs’ employers and employees in Castile-Leon and in Berlin. The have developed and interdisciplinary research group Canalejas is working together whit the department of telelearning  and Multimedia of CEDETEL and a technological center and a university in Berlin to acomplish this project.Este artículo describe el trabajo que se está realizando en el proyecto TELEADAPT-SOCINF, enmarcado dentro de la iniciativa comunitaria ADAPT y cofinanciado por el Fondo Social Europeo, la Junta de Castilla y León y CEDETEL. En TELEADAPT-SOCINF se han desarrollado cuatro hipermedias interactivos que apoyados por un espacio virtual de formación se emplearán para impartir cursos a PYMEs de Castilla y León y de Berlín. El equipo de investigación interdisciplinar e interuniversitario Canalejas está trabajando con el departamento de Tele formación y Multimedia de CEDETEL y con una universidad y un centro tecnológico de Berlín para llevar a cabo este proyecto

Learning Pathway Recommendation based on a Pedagogical Ontology and its Implementation in Moodle

When learners may select among different alternatives, or are guided to do so by an adaptive learning environment (ALE), it is generally meaningful to discuss the concept of different learning pathways. Pedagogically, these learning pathways may either be defined macroscopically, e.g. in terms of desired learning outcomes or competencies, or microscopically in terms of a didactical model for individual knowledge objects. In this contribution we consider such learning pathways from a pedagogical point of view and then establish a mathematical model for their traversal by a learner and for the analysis of his behavior. This model is implemented in a novel ALE provided by the EU FP7 project INTUITEL, introduced in its Moodle version as concrete example

Propuesta de Mejoras en el Soporte de Mecanismos QoS en el Sistema de Modems de Cable ComUNITY de Com21

En este artículo se lleva a cabo un estudio de cuáles son los mecanismos de soporte QoS (Quality of Service) ofrecidos por el sistema de modems de cable ComUNITY de Com21, el cual está basado en el uso del protocolo propietario UPSTREAMS, y cómo se lleva a cabo la asignación de ranuras (o slots temporales) en el canal ascendente. Además, para solucionar el problema de la asignación de grants para el servicio ABR, se propondrá el uso de un controlador difuso

Clustering of LMS Use Strategies with Autoencoders

Learning Management Systems provide teachers with many functionalities to offer materials to students, interact with them and manage their courses. Recognizing teachers’ instructing styles from their course designs would allow recommendations and best practices to be made. We propose a method that determines teaching style in an unsupervised way from the course structure and use patterns. We define a course classification approach based on deep learning and clustering. We first use an autoencoder to reduce the dimensionality of the input data, while extracting the most important characteristics; thus, we obtain a latent representation of the courses. We then apply clustering techniques to the latent data to group courses based on their use patterns. The results show that this technique improves the clustering performance while avoiding the manual data pre-processing work. Furthermore, the obtained model defines seven course typologies that are clearly related to different use patterns of Learning Management Systems

Teleadapt-Socinf: un espacio virtual para las PYMEs

Este artículo describe el trabajo que se está realizando en el proyecto TELEADAPT-SOCINF, en-marcado dentro de la iniciativa comunitaria ADAPT y co-financiado por el Fondo Social Europeo, la Junta de Castilla y León y CEDETEL. En TELEADAPT-SOCINF se han desarrollado cuatro hipermedias interactivos que apoyados por un espacio virtual de formación se emplearán para impartir cursos a PYMEs de Castilla y n o apoio do Consella - León y de Berhn. El equipo de investigación interdisciplinar e interuniversitario Canalejas está trabajando con el departamento de Teleformación y Multimedia de CEDETEL y con una universidad y un centro tecnológico de Berlín para llevar a cabo este proyecto

RIED. Revista iberoamericana de educación a distancia

Resumen basado en el de la publicaciónSe describe el trabajo que se está realizando en el proyecto TELEADAPT-SOCINF destinado a la impartición de cursos de formación continua a pequeñas y medianas empresas (PYMES). Se enmarca dentro de la iniciativa comunitaria ADAPT y co-financiado por el Fondo Social Europeo, la Junta de Castilla y León y CEDETEL. Se describen los materiales diseñados y desarrollados para dichos cursos, concretamente cuatro hipermedias interactivos que apoyados por un espacio virtual de formación se emplean para impartir los cursos a PYMES de Castilla y León y de Berlín.MadridES