Mario Arias Oliva

dblp:165/2017 · DBLP profile ↗
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4ranked-venue papers
1as first author
3since 2021 · last 2026
—ORCID · conflict

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 4 · 1 first-author · 3 since 2021
YearPublicationVenuePosition
2026 Patients' Acceptance of Surgical Robots: Findings with Machine Learning and Necessary Condition Analysis
Jorge de Andrés-Sánchez, Ala Ali Almahameed, Mario Arias Oliva, Jorge Pelegrín-Borondo
Int. J. Hum. Comput. Interact.3
2025 Sovereignty, Surveillance, and the Cloud: Geopolitical and Ethical Issues of Global Cloud Computing
Ala Ali Almahameed, Jorge Pelegrín-Borondo, Juan Luis López-Galiacho Perona, Mario Arias Oliva
ETHICOMP4
2025 Rethinking Educational Assessment in the Age of Artificial Intelligence
Mario Arias Oliva, Antonio Pérez-Portabella, Manuel Ollé Sesé, Jorge de Andrés-Sánchez
ETHICOMP1
2008 A technological acceptance of e-learning tools used in practical and laboratory teaching, according to the European higher education area
abstract
The application of scientific tools to analyse the use of Internet-based e-learning tools in academic settings is in general an ignored area. E-learning tools are actually an emergent topic as a result of the new ideas introduced by the European Higher Education Area. Lifelong learning, or the promotion of student initiative, is the new paradigm of a learner-centred education. In this context, e-learning tools can represent an effective way of supporting this new trend in education. Assuming the premise that successful use of these web-based tools depends primarily on a user's behaviour, the objective of this research is to examine the technology acceptance model (TAM) of web-based e-learning tools used in practical and laboratory teaching. The research hypotheses derived from this model have empirically been validated using the responses to a survey on e-learning usage among 220 users. These responses have been examined through partial least square. The obtained results strongly support the extended TAM in predicting a student's intention to use e-learning and define a set of external variables with a significant influence in the original TAM variables. Surprisingly, perceived ease of use did not posit a significant impact on student attitude or intention towards e-learning tool usage. Therefore, early evaluation of e-learning material is considered essential to providing a framework for further improvements of the tool.
M. Rocío Martínez-Torres, Sergio L. Toral Marín, Federico Barrero, Sergio Gallardo Vázquez, Mario Arias Oliva, T. Torres
Behav. Inf. Technol.5