This document summarizes a study of students' learning in the LoT@UNED platform. It describes the LoT@UNED platform, which is a full-cycle IoT environment for learning and teaching engineering. It presents the learning scenarios and key features of the platform. The document then discusses a model and results from analyzing students' acceptance of the platform using TAM/UTAUT models. Hypotheses about how usefulness, attitude, and facilitating access affect intention to use the platform were tested using a structural equation model. The model was validated and found to adequately fit the data. Finally, conclusions state that the LoT@UNED platform was proposed and a SEM model was validated to study students' learning, with opportunities

1. Studying the Students' Learning in LoT@UNED
Llanos Tobarra, Antonio Robles-Gómez, Rafael
Pastor-Vargas, Roberto Hernández, Juan M. Haut
arobles@scc.uned.es

2. Outline
The LoT@UNED Platform
Model and Results
Conclusions

3. The LoT@UNED Platform
 A full-cycle IoT Environment (Labs of Things) for learning and
teaching in Engineering
Learning scenarios: IoT, Programming, Security
 Key features:
 Docker-Containers
 Cloud Services
 Interactive
 UNED credentials
 Self-recovery
 Session control
R. Pastor-Vargas, Ll. Tobarra, A. Robles-Gómez, S. Martín, R. Hernández, and J. Cano, “A WoT Platform for Supporting
Full-Cycle IoT Solutions from Edge to Cloud Infrastructures: A Practical Case,” Sensors, vol. 20, no. 13, pp. 1–22, 2020.

4. LoT@UNED
Architecture

5. Learning Scenarios (I)

6. Learning Scenarios (II)

7. Outline
The LoT@UNED Platform
Model and Results
Conclusions

8. Model and Results
 Based on our previous findings with
traditional TAM/UTAUT models:
 Used variables: Usefulness, Attitude, Facilitating
Access, Intention
 Discarded variables: Effort, Social Influence
Ll. Tobarra, A. Robles-Gómez, R. Pastor, R. Hernández, A. Duque, and J. Cano,
“Students’ acceptance and tracking of a new container-based virtual
laboratory,” Applied Sciences, vol. 10, no. 3, pp. 1–25, 2020.
 Confirmatory analysis with TAM/UTAUT
models
 Hypotheses over a SEM model
 Validating the SEM model: Chi-square, DFs,
CFI/GFI, RMSEA

9. Students’ Acceptance (I)

10. Students’ Acceptance (II)

11. Hypotheses
 H1. The usefulness of the LoT@UNED platform affects the attitude
 H2. The facilitating access of the LoT@UNED platform affects the
usefulness
 H3. The facilitating access of the LoT@UNED platform affects the
attitude
 H4. The facilitating access of the LoT@UNED platform affects the
intention of use it
 H5. The attitude towards the LoT@UNED platform affects the
intention to use it

12. SEM Model

13. SEM Validation
Indicator Value Optimal
Chi-square 3.3 >0.5
Chi-square / Degree Freedom 1.0 <3
Comparative Fit Index (CFI) 0.988 >0.9
Goodness Fit Index (GFI) 0.988 >0.9
Root Mean Square Error of
Approximation (RMSEA)
0.134 >0.08

14. Outline
The LoT@UNED Platform
Model and Results
Conclusions

15. Conclusions and Future Works
A remote-virtual platform, LoT@UNED, has been
proposed
A SEM model has been proposed and validated
Studying alternative SEM models and incorporating
additional capabilities to LoT@UNED

16. Studying the Students' Learning in LoT@UNED
Llanos Tobarra, Antonio Robles-Gómez, Rafael
Pastor-Vargas, Roberto Hernández, Juan M. Haut
arobles@scc.uned.es