The use of AI tools and their impact on the assessment of postgraduate courses in the technological field
This study analyzes the impact of using freely accessible generative AI in the evaluation of students in the Master's Program in Renewable Energies at Universidad Europea de Canarias, with the aim of proposing strategies to ensure that students maintain the necessary knowledge and technical ski...
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| Format: | Article |
| Language: | English |
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Universidad Politécnica de Madrid
2024-12-01
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| Series: | Advances in Building Education |
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| Online Access: | https://polired.upm.es/index.php/abe/article/view/5407 |
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| author | Susana Hernando-Castro Juan Diego López-Arquillo Martín Perea-Álvarez-de-Eulate |
| author_facet | Susana Hernando-Castro Juan Diego López-Arquillo Martín Perea-Álvarez-de-Eulate |
| author_sort | Susana Hernando-Castro |
| collection | DOAJ |
| description | This study analyzes the impact of using freely accessible generative AI in the evaluation of students in the Master's Program in Renewable Energies at Universidad Europea de Canarias, with the aim of proposing strategies to ensure that students maintain the necessary knowledge and technical skills. The case study focused on the "Renewable Energy Startups" module, worth 6 ECTS, where students completed practical activities with the assistance of AI tools.
The evaluation of AI-generated results was conducted using the same rubric applied in a previous edition, when these tools were not yet available. Additionally, the AI-generated responses to exam questions based on the official syllabus were analyzed, and the time spent was compared with the minimum times outlined in the university's study plan.
The findings show that, while AI can reduce the time needed to complete tasks, it is essential to redesign activities to integrate AI in an ethical and effective way. When approached correctly, AI can become a tool that enhances learning, improving students' technical skills without compromising the depth of knowledge. |
| format | Article |
| id | doaj-art-b0e46c70511b40b5aa18f597e841d2c8 |
| institution | Kabale University |
| issn | 2530-7940 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Universidad Politécnica de Madrid |
| record_format | Article |
| series | Advances in Building Education |
| spelling | doaj-art-b0e46c70511b40b5aa18f597e841d2c82025-02-10T11:13:31ZengUniversidad Politécnica de MadridAdvances in Building Education2530-79402024-12-018392310.20868/abe.2024.3.54078333The use of AI tools and their impact on the assessment of postgraduate courses in the technological fieldSusana Hernando-Castro0Juan Diego López-Arquillo1Martín Perea-Álvarez-de-Eulate2Universidad Europea de CanariasUniversidad Europea de CanariasUniversidad Europea de CanariasThis study analyzes the impact of using freely accessible generative AI in the evaluation of students in the Master's Program in Renewable Energies at Universidad Europea de Canarias, with the aim of proposing strategies to ensure that students maintain the necessary knowledge and technical skills. The case study focused on the "Renewable Energy Startups" module, worth 6 ECTS, where students completed practical activities with the assistance of AI tools. The evaluation of AI-generated results was conducted using the same rubric applied in a previous edition, when these tools were not yet available. Additionally, the AI-generated responses to exam questions based on the official syllabus were analyzed, and the time spent was compared with the minimum times outlined in the university's study plan. The findings show that, while AI can reduce the time needed to complete tasks, it is essential to redesign activities to integrate AI in an ethical and effective way. When approached correctly, AI can become a tool that enhances learning, improving students' technical skills without compromising the depth of knowledge.https://polired.upm.es/index.php/abe/article/view/5407artificial intelligenceeducationevaluationlearningtechnology |
| spellingShingle | Susana Hernando-Castro Juan Diego López-Arquillo Martín Perea-Álvarez-de-Eulate The use of AI tools and their impact on the assessment of postgraduate courses in the technological field Advances in Building Education artificial intelligence education evaluation learning technology |
| title | The use of AI tools and their impact on the assessment of postgraduate courses in the technological field |
| title_full | The use of AI tools and their impact on the assessment of postgraduate courses in the technological field |
| title_fullStr | The use of AI tools and their impact on the assessment of postgraduate courses in the technological field |
| title_full_unstemmed | The use of AI tools and their impact on the assessment of postgraduate courses in the technological field |
| title_short | The use of AI tools and their impact on the assessment of postgraduate courses in the technological field |
| title_sort | use of ai tools and their impact on the assessment of postgraduate courses in the technological field |
| topic | artificial intelligence education evaluation learning technology |
| url | https://polired.upm.es/index.php/abe/article/view/5407 |
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