Generative artificial intelligence in higher education: challenges, opportunities and future course of actions to achieve sustainable development goals

Purpose This study explores the challenges, opportunities and future course for the use of generative artificial intelligence (GAI) in higher education to attain the targets of the sustainable development goals (SDG4). Design/methodology/approach A phenomenological approach within the qualitative research tradition was adopted. Data were collected through semi-structured interviews with 11 purposefully selected university faculty members. A hybrid data analysis procedure was employed, combining the application of a GAI model (ChatGPT 3.5) with validation by the researchers. Findings The findings revealed several challenges and opportunities that may negatively affect higher education institution (HEIs) in attaining SDG4. The study has also identified significant opportunities and has proposed future courses to align GAI with the purposes of education and attain SDG4. Research limitations/implications Equitable access to GAI-driven education requires collaboration between governments, academia and private enterprises (Target 4.3). Research-based policies must ensure AI enhances learning without undermining critical skills (Target 4.4). Inclusive AI design can improve accessibility for diverse learners while mitigating biases (Target 4.a). Educators should be empowered to integrate AI while maintaining human-centered learning environments (Target 4.c). Finally, ethical AI guidelines are crucial for fostering global citizenship and sustainable development (Target 4.7). This study underscores the need for strategic policy frameworks to maximize AI’s potential in education. Originality/value This study provides original insights into the educational use of GAI, particularly its facilitation and impediments to HEIs’ efforts to achieve SDG4. The findings offer valuable contributions to the ongoing discourse on the integration of emerging technologies in higher education and their alignment with global development objectives.

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Publication Details

Journal
International Journal of Educational Management
Published
2025-10-21
DOI
https://doi.org/10.1108/ijem-12-2024-0786
Citations
3
Primary Topic
Engineering Education and Technology
Type
article
Field-Weighted Citation Impact
9.74
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article

Generative artificial intelligence in higher education: challenges, opportunities and future course of actions to achieve sustainable development goals

Nazir Ahmed Jogezai, Диана Королева, Иван Иванов
3 citations
International Journal of Educational Management
Engineering Education and Technology
9.74
article

Generative artificial intelligence in higher education: challenges, opportunities and future course of actions to achieve sustainable development goals

Nazir Ahmed Jogezai, Диана Королева, Иван Иванов
article en
3 citations

Abstract

Purpose This study explores the challenges, opportunities and future course for the use of generative artificial intelligence (GAI) in higher education to attain the targets of the sustainable development goals (SDG4). Design/methodology/approach A phenomenological approach within the qualitative research tradition was adopted. Data were collected through semi-structured interviews with 11 purposefully selected university faculty members. A hybrid data analysis procedure was employed, combining the application of a GAI model (ChatGPT 3.5) with validation by the researchers. Findings The findings revealed several challenges and opportunities that may negatively affect higher education institution (HEIs) in attaining SDG4. The study has also identified significant opportunities and has proposed future courses to align GAI with the purposes of education and attain SDG4. Research limitations/implications Equitable access to GAI-driven education requires collaboration between governments, academia and private enterprises (Target 4.3). Research-based policies must ensure AI enhances learning without undermining critical skills (Target 4.4). Inclusive AI design can improve accessibility for diverse learners while mitigating biases (Target 4.a). Educators should be empowered to integrate AI while maintaining human-centered learning environments (Target 4.c). Finally, ethical AI guidelines are crucial for fostering global citizenship and sustainable development (Target 4.7). This study underscores the need for strategic policy frameworks to maximize AI’s potential in education. Originality/value This study provides original insights into the educational use of GAI, particularly its facilitation and impediments to HEIs’ efforts to achieve SDG4. The findings offer valuable contributions to the ongoing discourse on the integration of emerging technologies in higher education and their alignment with global development objectives.

International Journal of Educational Management
National Research University Higher School of Economics (RU)
Openalex Percentile: Top 2%
Engineering Education and Technology
9.74
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