Studying the Students' Learning in LoT@UNED

• Published in: IEEE Global Engineering Education Conference pp. 1475 - 1479
• Main Authors: Tobarra, Llanos, Robles-Gomez, Antonio, Pastor-Vargas, Rafael, Hernandez, Roberto, Haut, Juan M.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 21.04.2021
• Subjects: Analytical models; Cloud Computing; Evaluation; Hardware; Laboratories; Labs of Things (LoT); Learning Environments; Memory; Numerical analysis; SEM Models; Software; Statistical analysis
• ISSN: 2165-9567
• DOI: 10.1109/EDUCON46332.2021.9454045

The instructional design of experimental subjects with a distance methodology in Engineering disciplines is nowadays a challenge. One of the most useful applications is the use of remote and virtual laboratories technologies. The learning process must transparently integrate these technologies. It is also essential to be able to analyze the students learning and acceptance of this technology. In particular, the IoT paradigm involves the acquisition of practical skills and knowledge from the use of devices/sensors to the management of cloud environments, by including data storage and processing. A Laboratory of Things platform at UNED (called LoT@UNED) has been developed to cover all phases of a life-cycle development, both hardware infrastructures and software applications. This work focuses on studying the influence among several acceptance indicators during the learning/teaching process of students for the cyber-security topic, and with respect to their intention of employing LoT@UNED for other learning purposes. To achieve this, a new structural equation models (SEM) has been proposed, as well as an statistical analysis is included from a confirmatory point of view.