Published in

Springer Verlag, Lecture Notes in Computer Science, p. 233-243

DOI: 10.1007/978-3-319-07227-2_23

Links

Tools

Export citation

Search in Google Scholar

Exploring B-Learning Scenarios Using Fuzzy Logic-Based Modeling of Users’ LMS Quality of Interaction in Ergonomics and Psychomotor Rehabilitation Academic Courses

Journal article published in 2014 by Sofia Balula Dias, José A. Diniz, Leontios J. Hadjileontiadis ORCID
This paper is available in a repository.
This paper is available in a repository.

Full text: Download

Green circle
Preprint: archiving allowed
Green circle
Postprint: archiving allowed
Red circle
Published version: archiving forbidden
Data provided by SHERPA/RoMEO

Abstract

The multidisciplinary field of human-computer interaction can be seen as an open-ended concept used to refer to the understanding of different relationships between people (users) and computers. The pedagogical planning within the blended learning environment with the users’ quality of interaction (QoI) with the Learning Management System (LMS) is explored here. The required QoI (both for professors and students) is estimated by adopting a fuzzy logic-based modeling approach, namely FuzzyQoI, applied to LMS Moodle data from two undergraduate courses (i.e., Ergonomics and Psychomotor Rehabilitation) offered by a public higher education institution. In order to facilitate the understanding of the learning context and curricula organization of the both courses, the MindMup tool from the i-Treasures Pedagogical Planner (www.i-treasures.eu) is employed. The results presented can inspire LMS administrators to include the measure of QoI and reflect upon issues like system-quality, system-use and user-satisfaction into their current evaluation techniques of LMS based b-learning systems efficiency.