Exploring the impact of generative AI technologies on education
Academic expert perspectives, trends, and implications for sustainable development goals
Bibliographic Data
| ID | 22188904 |
|---|---|
| Authors | Ibrahim Rashid Al Shamsi (0000-0003-3741-6942, University of Buraimi), Ibrahim Alshamsi, Kaneez Fatima Sadriwala (0000-0002-5769-7967, University of Nizwa), Fouad J I Alazzawi (0000-0002-2975-3618), Boumedyen Shannaq (0000-0001-5867-3986, University of Buraimi) |
| Year | 2024 |
| Volume | 8 |
| Issue | 11 |
| Pages | 8532 |
| Publication date | 2024-10-09 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Infrastructure Policy and Development (JOURNAL) |
| Journal identifiers | ISSN: 2572-7923 • E-ISSN: 2572-7931 |
| Publisher | EnPress Publisher (PUBLISHER) |
| DOI | 10.24294/jipd.v8i11.8532 |
| OpenAlex | W4403275108 |
| Language | EN |
| Citations received | 3 |
This study provides empirical data on the impact of generative AI in education, with special emphasis on sustainable development goals (SDGs). By conducting a thorough analysis of the relationship between generative AI technologies and educational outcomes, this research fills a critical gap in the literature. The insights offered are valuable for policymakers seeking to leverage new educational technologies to support sustainable development. Using Smart-PLS4, five hypotheses derived from the research questions were tested based on data collected from an E-Questionnaire distributed to academic faculty members and education managers. Of the 311 valid responses, the measurement model assessment confirmed the validity and reliability of the data, while the structural model assessment validated the hypotheses. The study’s findings reveal that New Approaches to Learning Outcome Assessment (NALOA) significantly contribute to achieving SDGs, with a path coefficient of 0.477 (p
Engineering ethics · Engineering management · Generative grammar · Knowledge management · Political science · Process management · Sustainable development · Computer Science · Engineering · Engineering Education and Technology · Online Learning and Analytics · Smart Cities and Technologies · Artificial Intelligence
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Exploring the connections between integrated sustainable curricula, generative AI tools, and perceived climate change capabilities across the global south and north using multi-analytics
| Citations per year | 1.5 |
|---|---|
| Citation span | 2024 - 2026 (3) |
| Highly cited | No |