Journal Articles
Permanent URI for this collectionhttps://mro.massey.ac.nz/handle/10179/7915
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Item Generative AI, Large Language Models, and ChatGPT in Construction Education, Training, and Practice(MDPI (Basel, Switzerland), 2025-03-15) Jelodar MB; Senouci AThe rapid advancement of generative AI, large language models (LLMs), and ChatGPT presents transformative opportunities for the construction industry. This study investigates their integration across education, training, and professional practice to address skill gaps and inefficiencies. While AI’s potential in construction has been highlighted, limited attention has been given to synchronising academic curricula, workforce development, and industry practices. This research seeks to fill that gap by evaluating AI adoption through a mixed and multi-stage methodology, including theoretical conceptualisation, case studies, content analysis and application of strategic frameworks such as scenario planning, SWOT analysis, and PESTEL frameworks. The findings show AI tools enhance foundational learning and critical thinking in education but often fail to develop job-ready skills. Training programmes improve task-specific competencies with immersive simulations and predictive analytics but neglect strategic leadership skills. Professional practice benefits from AI-driven resource optimisation and collaboration tools but faces barriers like regulatory and interoperability challenges. By aligning theoretical education with practical training and strategic professional development, this research highlights the potential to create a future-ready workforce. The study provides actionable recommendations for integrating AI across domains. These findings contribute to understanding AI’s transformative role in construction, offering a baseline for effective and responsible adoption.Item Innovative use of low-cost digitisation for smart information systems in construction projects(MDPI (Basel, Switzerland), 2021-06-24) Jelodar MB; Shu F; Edwards DJ; Aigbavboa C; Ejohwomu OThe low-level application of digital tools and information systems in construction implies that many projects cannot meet modern requirements and standard of work of advanced industries. This study adopts a practical and diagnostic approach to identify key attributes and implementation processes of information systems in construction and logistics. To have triangulation of knowledge, a three-step methodology is adopted. Initially an exploratory analysis of previous literature is per-formed. Secondly a diagnostic analysis of IS applications in construction is achieved by case studies. Finally, expert interviews are performed to examine and consolidate the findings. The study illus-trated practical and innovative applications of low-cost digital tools in IS development and created a framework for documentation of these discrete and mostly unshared practices. It is recommended that the construction sector should embrace more advance technologies to minimise human inter-vention and enhance real-time capabilities. The practicality of how different low-cost and off-the-shelf tools and digital platforms can be combined is discussed and demonstrated. The study provides a clear distinction for practitioners and academics as to what is being practiced in comparison to the dominant theories.