Olalekan Shamsideen Oshodi
Biographic Data
| ID | 7867926 |
|---|---|
| NAME | Olalekan Shamsideen Oshodi |
| GIVEN NAMES | Olalekan Shamsideen |
| FAMILY NAME | Oshodi |
| SIGNATURE | OSHODI O S |
| AFFILIATIONS | Anglia Ruskin University |
| ORCID | 0000-0001-6106-7717 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Impacts of artificial intelligence (AI) in teaching and learning of built environment students in a developing country
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 …
The Exposure of Workers at a Busy Road Node to PM2.5
The link between air pollution and health burden in urban areas has been well researched. This has led to a plethora of effective policy-induced monitoring and interventions in the global south. However, the implication of pollutant species like PM 2.5 in low middle income countries (LMIC) still remains a concern. By adopting a positivist philosophy and deductive reasoning, this research addresses the question, to what extent can we deliver effec…
No prominent works on this page.
The Exposure of Workers at a Busy Road Node to PM2.5
The link between air pollution and health burden in urban areas has been well researched. This has led to a plethora of effective policy-induced monitoring and interventions in the global south. However, the implication of pollutant species like PM 2.5 in low middle income countries (LMIC) still remains a concern. By adopting a positivist philosophy and deductive reasoning, this research addresses the question, to what extent can we deliver effec…
Impacts of artificial intelligence (AI) in teaching and learning of built environment students in a developing country
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 …
Air Quality and Health Impacts (1 work) · Air Quality Monitoring and Forecasting (1 work) · Artificial Intelligence in Healthcare and Education (1 work) · Built environment (1 work) · Business (1 work) · Computer Science (1 work) · Computer security (1 work) · COVID-19 diagnosis using AI (1 work) · Developing country (1 work) · Educational technology (1 work)