Structural Study of Post-COVID-19 Use Based on LMS Log Data Analysis from the University of Extremadura: A Case Study of Learning Analytics
Year: 2026
Type: article
Abstract: The widespread adoption of Learning Management Systems (LMSs) in higher education has not necessarily led to profound pedagogical transformations, raising questions about how digital technologies are actually integrated into teaching practices. This study aims to describe and map the techno-pedagogical configurations used by instructors at the University of Extremadura (Spain) to identify teaching patterns and characterize course design within a virtual campus. Using log data from 12,361 Moodle courses during the 2021–2022 academic year, a K-means clustering analysis was applied to classify courses based on their use of digital tools and resources. The analysis identified five distinct clusters ranging from traditional models with minimal LMS use (67.37%) to advanced innovation configurations (3.98%), including audiovisual-based innovation, participative traditional models, and repository-focused approaches. The results indicate that the implementation of techno-pedagogical strategies is highly heterogeneous and that courses classified as more innovative do not consistently produce better academic outcomes. These findings suggest that for most faculty, the LMS functions as digital support for traditional face-to-face teaching rather than as a driver of pedagogical transformation, highlighting the need for teacher-centered analytics capable of capturing instructional design patterns beyond mere behavioral metrics.
Source: Education Sciences
Institution: Universidad de Extremadura
Language: English
Subfield: Computer Science Applications
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: gold
Estimated APC paid: $2,172
Award: G8712997857
OpenAlex ID: W7129016392