Awareness and adoption readiness of machine learning technology in the construction industry of a developing country: a case of Nigeria
Loya, S.O.; Eze, E.C.; Awodele, I.A.; Sofolahan, O.; Omoboye, O. · University of Westminster Research
Abstrak / Ringkasan
This study investigated the awareness of the Nigerian construction organisations on some identified ML application areas, and the readiness of the organisations to adopt ML learning in the identified application areas. A comprehensive Literature review was undertaken to identify the application areas of ML, then, a well-structured questionnaire was developed and used to gather relevant data from construction professionals using the snowball sampling method via electronic means. 143 valid responses were obtained, and the gathered data were analysed using arrays of descriptive and inferential analytical tools. The study revealed that the critical applications areas of ML with higher awareness level and adoption readiness in Nigeria are (1) Health and Safety prediction and management, (2) Waste management, (3) Prediction of and management of construction costs, (4) Risk Management, (5) Structural Health Monitoring and Prediction, and (6) Building Life-Cycle assessment and management. Further, a significant statistical difference was observed between the opinions of the participants regarding the awareness and adoption readiness of the various ML application areas. This study identified critical application areas of ML where the awareness and adoption readiness are very high, thus, signalling the preparedness of the Nigerian construction industry (NCI) to embrace ML to drive sustainable construction.
Topik Terkait
Referensi Serupa
Global Lessons in School Design and Management: Insights from OECD Work on Physical Learning Environments
Blyth, A.
Analysis of Student Learning Difficulties by Using the GQGA Application during the Covid-19 Pandemic
Siagian, Meryance Viorentina; Fau, Alwin
Self-awareness and self-regulatory learning as mediators between ChatGPT usage and pre-service mathematics teacher's self-efficacy
Bright Asare; Francis Ohene Boateng
Effect of Using Collaborative Learning and Scaffolding Strategies via the Learning Management System on Improving EFL Students’ Writing Skill
Fatemeh Shafiee; Hadi Salehi; Omid Tabatabaei; Melor Md Yunus
Student Performance Prediction Using Machine Learning
Hrutuja Umakant Aher
Classroom Management and Learning Performance
Salim, Salim
Classroom Management and Learning Performance
Salim, Salim
Prediction model of preeclampsia using single nucleotide polymorphism and machine learning methods: A population-based cohort study in Jordan
Shatha Awawdeh; Hasan Rawashdeh; Hanaa Fathi; Arar Al Tawil; Fatima Al-Shannaq; Esraa Henawi; Omar F. Khabour
Sustainable Waste Management in Healthcare: Application of Fuzzy Determination Method to Prioritize Key Influencing Factors
Mehdi Kabiri Naeini; Zeynab Elahi
Improving students’ learning experience using simulated environments in applied degree education in architecture, engineering, and construction
Memon, S.A.; Sumanarathna, N.; Adhikari, A.
Learning Management Of Islamic Teachers In Millenial Era
Pratiwi, Sri Nurabdiah; Nasution, Inom
Supported self-management for adults with type 2 diabetes and a learning disability (OK-Diabetes): study protocol for a randomised controlled feasibility trial
Walwyn, REA; Russell, AM; Bryant, LD; Farrin, AJ; Wright-Hughes, AM; Graham, EH; Hulme, C; O'Dwyer, JL; Latchford, GJ; Stansfield, AJ; Nagi, D; Ajjan, RA; House, AO
Literatur Lain dari University of Westminster Research
Global Lessons in School Design and Management: Insights from OECD Work on Physical Learning Environments
Blyth, A. · 2026
Improving students’ learning experience using simulated environments in applied degree education in architecture, engineering, and construction
Memon, S.A.; Sumanarathna, N.; Adhikari, A. · 2022
Making Education for Sustainable Development (ESD) More Inclusive and Engaging Through Universal Design for Learning (UDL): A Case Study at theWestminster Business School
Espinoza Ramos, G. · 2024
The Construction of Eating Disorders Psychiatry, Politics and Cultural Representations of Disordered Eating
Fixsen, Alison · 2024
Enhancing aridity index assessment in Pakistan's dryland ecosystems: A machine learning approach integrating remote sensing and seasonal lag effects
Mazhar, N.; Ghalub, A.K.; Malki, I.; Noreena; Arshad, S. · 2025
Positional Health Assessment of Collaborative Robots Based on Long Short-Term Memory Auto-Encoder (LSTMAE) Network
Hasan, N.; Webb, L.; Kaniappan Chinnathai, M.; Hossain, M.A-A.; Ozkat, E.C.; Tokhi, M.O.; Alkan, B. · 2024
What is Music Business Management? A Critical Conversation on Music, Knowledge and Power in the University
Gross, S.; Bennett, T. · 2024
A growing community of practice on games and learning: a literature review with bibliometric and thematic analyses
Kristina Risley; Rene Röpke · 2024
Literatur Terbaru yang Relevan
Global Lessons in School Design and Management: Insights from OECD Work on Physical Learning Environments
Blyth, A. · 2026
Analysis of Student Learning Difficulties by Using the GQGA Application during the Covid-19 Pandemic
Siagian, Meryance Viorentina; Fau, Alwin · 2021
Self-awareness and self-regulatory learning as mediators between ChatGPT usage and pre-service mathematics teacher's self-efficacy
Bright Asare; Francis Ohene Boateng · 2025
Effect of Using Collaborative Learning and Scaffolding Strategies via the Learning Management System on Improving EFL Students’ Writing Skill
Fatemeh Shafiee; Hadi Salehi; Omid Tabatabaei; Melor Md Yunus · 2025
Student Performance Prediction Using Machine Learning
Hrutuja Umakant Aher · 2026
Classroom Management and Learning Performance
Salim, Salim · 2020
Classroom Management and Learning Performance
Salim, Salim · 2020
Prediction model of preeclampsia using single nucleotide polymorphism and machine learning methods: A population-based cohort study in Jordan
Shatha Awawdeh; Hasan Rawashdeh; Hanaa Fathi; Arar Al Tawil; Fatima Al-Shannaq; Esraa Henawi; Omar F. Khabour · 2026