Pedagogical Methodologies and Approaches Used in the Integration of Artificial Intelligence in University Curricula of Graduate Programs

The study on pedagogical methodologies and approaches used in the integration of AI in graduate program curricula outlines the constant educational evolution that goes hand in hand with new technological advances. However, research in this context faces variables where prospective, rigorous, innovative and realistic thinking is required. Therefore, the objective is to identify the pedagogical methodologies and approaches used in the integration of artificial intelligence in the university curricula of postgraduate programs at the global level, within the framework of professional competencies and learning outcomes. The methodology addresses a bibliometric analysis based on PRISMA 2020, where data from Scopus and Web of Science are analyzed. The results demonstrate the importance of the use of AI in Higher Education Institutions (HEIs) from the creation of tools to the needs of the pedagogical context, in the same way it shows the research gap between Asian and Latin American countries in this context.

Authors

Publication Details

Journal
Journal of Information Systems Engineering & Management
Published
2025-05-22
DOI
https://doi.org/10.52783/jisem.v10i49s.9820
Primary Topic
E-Learning and Knowledge Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Pedagogical Methodologies and Approaches Used in the Integration of Artificial Intelligence in University Curricula of Graduate Programs

Leonardo Fabio Montoya Guiral
Journal of Information Systems Engineering & Management
E-Learning and Knowledge Management
article

Pedagogical Methodologies and Approaches Used in the Integration of Artificial Intelligence in University Curricula of Graduate Programs

Leonardo Fabio Montoya Guiral
article en

Abstract

The study on pedagogical methodologies and approaches used in the integration of AI in graduate program curricula outlines the constant educational evolution that goes hand in hand with new technological advances. However, research in this context faces variables where prospective, rigorous, innovative and realistic thinking is required. Therefore, the objective is to identify the pedagogical methodologies and approaches used in the integration of artificial intelligence in the university curricula of postgraduate programs at the global level, within the framework of professional competencies and learning outcomes. The methodology addresses a bibliometric analysis based on PRISMA 2020, where data from Scopus and Web of Science are analyzed. The results demonstrate the importance of the use of AI in Higher Education Institutions (HEIs) from the creation of tools to the needs of the pedagogical context, in the same way it shows the research gap between Asian and Latin American countries in this context.

Journal of Information Systems Engineering & ManagementVol. 10(49s)
Openalex Percentile: Top 89%
E-Learning and Knowledge Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.