IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v17y2025i20p9079-d1770717.html

Intelligent Construction-Driven Transformation of Construction Management Education for Sustainable Development: From the Educator’s Perspective

Author

Listed:
  • Weijun Liu

    (Department of Engineering Management, School of Transportation, Changsha University of Science & Technology, Changsha 410114, China)

  • Yuan Zeng

    (Department of Engineering Management, School of Transportation, Changsha University of Science & Technology, Changsha 410114, China)

  • Dingli Liu

    (Department of Engineering Management, School of Transportation, Changsha University of Science & Technology, Changsha 410114, China)

  • Yao Huang

    (Department of Engineering Management, School of Transportation, Changsha University of Science & Technology, Changsha 410114, China)

  • Yunfei Hou

    (Department of Engineering Management, School of Transportation, Changsha University of Science & Technology, Changsha 410114, China)

Abstract

In the context of global sustainable development strategies and the rise of intelligent construction, it has become increasingly urgent for universities to adapt construction management curricula to meet the demands of this new era. However, prior education-reform-based studies rarely offer a systematic, educator-centered prioritization of knowledge areas, limiting actionable guidance for course sequencing and credit-hour allocation. To address this gap, this study identifies eight essential knowledge categories for construction management education through a comprehensive literature review and a survey of faculty members with strong theoretical and practical experience. An improved Analytic Hierarchy Process (AHP) model, weighted by the Consistency Ratio ( CR ), is applied to prioritize these areas. Results show that Fundamentals of Construction (18.50%), BIM (18.08%), and AI and Big Data (17.07%) received the highest importance values. These findings emphasize the need for curriculum reorientation to align with intelligent construction. This study contributes to modernizing construction management education and offers practical insights for curriculum development, ensuring alignment with industry trends and technological advancements.

Suggested Citation

  • Weijun Liu & Yuan Zeng & Dingli Liu & Yao Huang & Yunfei Hou, 2025. "Intelligent Construction-Driven Transformation of Construction Management Education for Sustainable Development: From the Educator’s Perspective," Sustainability, MDPI, vol. 17(20), pages 1-18, October.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:20:p:9079-:d:1770717
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/17/20/9079/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/17/20/9079/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Marina Johnson & Rashmi Jain & Peggy Brennan-Tonetta & Ethne Swartz & Deborah Silver & Jessica Paolini & Stanislav Mamonov & Chelsey Hill, 2021. "Impact of Big Data and Artificial Intelligence on Industry: Developing a Workforce Roadmap for a Data Driven Economy," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 22(3), pages 197-217, September.
    2. Houljakbe Houlteurbe Dagou & Asli Pelin Gurgun & Kerim Koc & Cenk Budayan, 2025. "The Future of Construction: Integrating Innovative Technologies for Smarter Project Management," Sustainability, MDPI, vol. 17(10), pages 1-29, May.
    3. Murat Gunduz & Mohammed Almuajebh, 2020. "Critical Success Factors for Sustainable Construction Project Management," Sustainability, MDPI, vol. 12(5), pages 1-17, March.
    4. Bahareh Nikmehr & M. Reza Hosseini & Igor Martek & Edmundas Kazimieras Zavadskas & Jurgita Antucheviciene, 2021. "Digitalization as a Strategic Means of Achieving Sustainable Efficiencies in Construction Management: A Critical Review," Sustainability, MDPI, vol. 13(9), pages 1-12, April.
    5. Saaty, Thomas L., 1990. "How to make a decision: The analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 48(1), pages 9-26, September.
    6. Shuting Wang & Jie Meng & Yuanlong Xie & Liquan Jiang & Han Ding & Xinyu Shao, 2023. "Reference training system for intelligent manufacturing talent education: platform construction and curriculum development," Journal of Intelligent Manufacturing, Springer, vol. 34(3), pages 1125-1164, March.
    7. Jianying Lai & Runnan Wan & Heap-Yih Chong & Xiaofeng Liao, 2025. "Digital Intelligence in Building Lifecycle Management: A Mixed-Methods Approach," Sustainability, MDPI, vol. 17(11), pages 1-24, June.
    8. Jinyi Li & Zhen Liu & Guizhong Han & Peter Demian & Mohamed Osmani, 2024. "The Relationship Between Artificial Intelligence (AI) and Building Information Modeling (BIM) Technologies for Sustainable Building in the Context of Smart Cities," Sustainability, MDPI, vol. 16(24), pages 1-38, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mahathir Mohammad Bappy & John Key & Niamat Ullah Ibne Hossain & Raed Jaradat, 2022. "Assessing the Social Impacts of Additive Manufacturing Using Hierarchical Evidential Reasoning Approach," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 23(2), pages 201-220, June.
    2. Flavio Martins & Maria Fatima Almeida & Rodrigo Calili & Agatha Oliveira, 2020. "Design Thinking Applied to Smart Home Projects: A User-Centric and Sustainable Perspective," Sustainability, MDPI, vol. 12(23), pages 1-27, December.
    3. Jochen Wulf, 2020. "Development of an AHP hierarchy for managing omnichannel capabilities: a design science research approach," Business Research, Springer;German Academic Association for Business Research, vol. 13(1), pages 39-68, April.
    4. Wu, Zhangsheng & Li, Yue & Wang, Rong & Xu, Xu & Ren, Dongyang & Huang, Quanzhong & Xiong, Yunwu & Huang, Guanhua, 2023. "Evaluation of irrigation water saving and salinity control practices of maize and sunflower in the upper Yellow River basin with an agro-hydrological model based method," Agricultural Water Management, Elsevier, vol. 278(C).
    5. D’Inverno, Giovanna & Carosi, Laura & Romano, Giulia & Guerrini, Andrea, 2018. "Water pollution in wastewater treatment plants: An efficiency analysis with undesirable output," European Journal of Operational Research, Elsevier, vol. 269(1), pages 24-34.
    6. Nermin Kişi, 2019. "A Strategic Approach to Sustainable Tourism Development Using the A’WOT Hybrid Method: A Case Study of Zonguldak, Turkey," Sustainability, MDPI, vol. 11(4), pages 1-19, February.
    7. Pathiraja, Erandathie & Griffith, Garry & Farquharson, Robert & Faggia, Rob, 2019. "The Cost of Climate Change to Agricultural Industries: Coconuts in Sri Lanka," International Journal on Food System Dynamics, International Center for Management, Communication, and Research, vol. 10(05), December.
    8. Ayodele, T.R. & Ogunjuyigbe, A.S.O. & Odigie, O. & Munda, J.L., 2018. "A multi-criteria GIS based model for wind farm site selection using interval type-2 fuzzy analytic hierarchy process: The case study of Nigeria," Applied Energy, Elsevier, vol. 228(C), pages 1853-1869.
    9. V. Srinivasan & G. Shainesh & Anand K. Sharma, 2015. "An approach to prioritize customer-based, cost-effective service enhancements," The Service Industries Journal, Taylor & Francis Journals, vol. 35(14), pages 747-762, October.
    10. Patricija Bajec & Danijela Tuljak-Suban, 2019. "An Integrated Analytic Hierarchy Process—Slack Based Measure-Data Envelopment Analysis Model for Evaluating the Efficiency of Logistics Service Providers Considering Undesirable Performance Criteria," Sustainability, MDPI, vol. 11(8), pages 1-18, April.
    11. Abareshi, Maryam & Zaferanieh, Mehdi, 2019. "A bi-level capacitated P-median facility location problem with the most likely allocation solution," Transportation Research Part B: Methodological, Elsevier, vol. 123(C), pages 1-20.
    12. Muhammad Ehtsham & Giuliana Parisi & Flavia Pedone & Federico Rossi & Marta Zincani & Eleonora Congiu & Chiara Marchionni, 2025. "AI-Powered Advanced Technologies for a Sustainable Built Environment: A Systematic Review on Emerging Challenges," Sustainability, MDPI, vol. 17(17), pages 1-45, September.
    13. Datu Buyung Agusdinata & Wenjuan Liu & Sinta Sulistyo & Philippe LeBillon & Je'anne Wegner, 2023. "Evaluating sustainability impacts of critical mineral extractions: Integration of life cycle sustainability assessment and SDGs frameworks," Journal of Industrial Ecology, Yale University, vol. 27(3), pages 746-759, June.
    14. Xinxin Liu & Xiaosheng Wang & Haiying Guo & Xiaojie An, 2021. "Benefit Allocation in Shared Water-Saving Management Contract Projects Based on Modified Expected Shapley Value," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(1), pages 39-62, January.
    15. Sushil, 2019. "Efficient interpretive ranking process incorporating implicit and transitive dominance relationships," Annals of Operations Research, Springer, vol. 283(1), pages 1489-1516, December.
    16. Kokaraki, Nikoleta & Hopfe, Christina J. & Robinson, Elaine & Nikolaidou, Elli, 2019. "Testing the reliability of deterministic multi-criteria decision-making methods using building performance simulation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 991-1007.
    17. Hossein Yousefi & Saheb Ghanbari Motlagh & Mohammad Montazeri, 2022. "Multi-Criteria Decision-Making System for Wind Farm Site-Selection Using Geographic Information System (GIS): Case Study of Semnan Province, Iran," Sustainability, MDPI, vol. 14(13), pages 1-27, June.
    18. Moumita Palchaudhuri & Sujata Biswas, 2016. "Application of AHP with GIS in drought risk assessment for Puruliya district, India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(3), pages 1905-1920, December.
    19. Kadir Kaan GÖNCÜ & Onur ÇETIN, 2022. "Evaluation Of Location Selection Criteria For Coordination Management Centers And Logistic Support Units In Disaster Areas With Ahp Method," Prizren Social Science Journal, SHIKS, vol. 6(2), pages 15-23, August.
    20. Tommaso Ortalli & Andrea Di Martino & Michela Longo & Dario Zaninelli, 2024. "Make-or-Buy Policy Decision in Maintenance Planning for Mobility: A Multi-Criteria Approach," Logistics, MDPI, vol. 8(2), pages 1-18, May.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:17:y:2025:i:20:p:9079-:d:1770717. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.