TY - JOUR
T1 - Analysis from the student perspective on the implementation of learning technologies in mining engineering
AU - López, P.
AU - Rodríguez, J.
AU - Acosta, A.
AU - Berrios, M.
N1 - Publisher Copyright:
Copyright © 2019 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
PY - 2019
Y1 - 2019
N2 - The emergence of new technologies such as virtual reality, mobile applications, web platforms and holograms are very useful for the development of learning; for this reason this research focuses on knowing the interest of the students of the Professional School of Mining Engineering in relation to the use of these technological learning systems. For this purpose, we used a survey as a measuring instrument based on the external variables of the Technology Acceptance Model 3 (TAM3) and the answers were based on the Likert scale; additionally, the processing and interpretation was carried out using the Statistical Package for the Social Sciences (SPSS). Relationships were established through the Pearson coefficient (r> 0). We identified the interest perceived by the students of the Professional School of Mining Engineering related the implementation and use of technological systems of learning, identifying weak variables such as the Subjective Standard, which refers to the need for help in the use of a learning platform, and the lack of experience in the use of these systems. On the other hand, a web platform is being developed that will satisfy visual and interactive needs of the student and the professor.
AB - The emergence of new technologies such as virtual reality, mobile applications, web platforms and holograms are very useful for the development of learning; for this reason this research focuses on knowing the interest of the students of the Professional School of Mining Engineering in relation to the use of these technological learning systems. For this purpose, we used a survey as a measuring instrument based on the external variables of the Technology Acceptance Model 3 (TAM3) and the answers were based on the Likert scale; additionally, the processing and interpretation was carried out using the Statistical Package for the Social Sciences (SPSS). Relationships were established through the Pearson coefficient (r> 0). We identified the interest perceived by the students of the Professional School of Mining Engineering related the implementation and use of technological systems of learning, identifying weak variables such as the Subjective Standard, which refers to the need for help in the use of a learning platform, and the lack of experience in the use of these systems. On the other hand, a web platform is being developed that will satisfy visual and interactive needs of the student and the professor.
KW - Learning
KW - Mining Engineering
KW - SPSS
KW - TAM3
KW - Technology
UR - https://www.scopus.com/pages/publications/85079745101
M3 - Artículo de la conferencia
AN - SCOPUS:85079745101
SN - 1613-0073
VL - 2555
SP - 268
EP - 277
JO - CEUR Workshop Proceedings
JF - CEUR Workshop Proceedings
T2 - 2019 International Congress on Educational and Technology in Sciences, CISETC 2019
Y2 - 10 December 2019 through 12 December 2019
ER -