Impacts of artificial intelligence (AI) in teaching and learning of built environment students in a developing country

Dados Bibliográficos

ID21632461
AutoresKabir Ibrahim (0000-0001-5970-2451, University of the Free State, autor correspondente), Innocent Chigozie Osuizugbo (0000-0002-9220-4363, Bells University of Technology), Emmanuel Chidiebere Eze (0000-0001-7919-6322, Northumbria University), AbdulHafeez Ibrahim (Kaduna State University), Olalekan Shamsideen Oshodi (0000-0001-6106-7717, Anglia Ruskin University), Adeoye Olugbenga Adewolu (0000-0002-8977-6213, Bells University of Technology)
Ano2025
Páginas1-19
Data de publicação2025-10-24
Peer ReviewedSim
Open AccessNão
TipoARTICLE
PeriódicoInteractive Learning Environments (JOURNAL)
Identificadores do periódicoISSN: 1049-4820 • E-ISSN: 1744-5191
EditoraInforma UK Limited (PUBLISHER • GB)
DOI10.1080/10494820.2025.2575010
OpenAlexW4415518945
IdiomaEN
Referências citadas67

Artificial intelligence (AI) has shown its transformative ability, and its integration into education has become a necessity for enhancing teaching and learning. Meanwhile, not much research has been done in the African context, such as Nigeria, to understand the impact of AI usage on students learning and teaching. Hence, this study investigated the positive and negative impacts of AI on teaching and learning of built environment students using a questionnaire, which was distributed to built environment students and the collected data was analysed using descriptive and inferential statistical techniques. The results revealed “AI expediting the research process by sourcing and organising data, particularly valuable for students with limited access to physical libraries and resources as the top positive impact of AI on teaching and learning. Again, the study revealed that “devaluing traditional research methodologies by relying solely on AI-generated information, potentially compromises research quality”, as the top most negative impacts of AI on teaching and learning. Overall, the study provides valuable insights into the positive and negative impacts of AI on teaching and learning of built environment students in Nigeria

Built environment · Developing country · Educational technology · Experiential learning · Learning environment · Teaching method · Artificial Intelligence in Healthcare and Education · COVID-19 diagnosis using AI