| Autor: |
Marco Antonio Zamora-Antuñano, Rossana Barros-Baertl, Belzabeth Tovar-Luna, Carlos Alberto González-Gutiérrez, Nestor Efren Mendez-Lozano, Miguel Ángel Cruz-Perez |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
Education Sciences, Vol 12, Iss 11, p 755 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
2227-7102 |
| DOI: |
10.3390/educsci12110755 |
| Popis: |
The objective of this research was to analyze the improvement in the data analysis and problem-solving competence of students of industrial and systems engineering (IIS) and mechatronics engineering (IMEC) through the use of this technology and its impact on the results of the undergraduate general examination (EGEL). A training course was held for teachers and students for the design of learning objects (LO), and a questionnaire on the use of AR and the improvement in learning was administered. AR is a technology that has begun to be introduced in different contexts and at different educational levels. The results obtained through the Wilcoxon test and the multiple correspondence analysis (MCA) showed that there were improvements in academic performance with the use of AR and an interest in this tool being used during the academic training process. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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