Abstract
In the implementation of technological tools such as AI in postgraduate academic curricula, several factors of holistic sense are faced, these factors operate together in similarity to the structure of everything for everything, so it is important to evidence them to generate new curricular proposals. The study evidences scientific documentation that guides the line of research on AI applied to the graduate curriculum, identifies gaps in access to knowledge and ethical concerns regarding the use of AI. The databases used to locate the reference literature were Scopus and Web of Science, in this same sense R Studio and its Bibliometrix library are used for the storage and analysis of metadata.
| Original language | American English |
|---|---|
| Pages (from-to) | 647-659 |
| Number of pages | 13 |
| Journal | TPM - Testing, Psychometrics, Methodology in Applied Psychology |
| Volume | 32 |
| Issue number | S4 |
| State | Indexed - 2025 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2025, Cises srl. All rights reserved.
Keywords
- Artificial Intelligence (AI)
- Curricular factors
- Educational innovation
- Postgraduate curriculum
- Technological incorporation in higher education
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