bluuebunny/crossref_metadata_2025 huggingface dataset:
A Proposed Framework for Integrating LCI’s Learning Resources to Support Lean Education in Accreditated Design and Construction Programs
Authors: Bhawani Sagata , Alves Thais , Messner John
Published: May 2024

Lean is practiced by the design and construction industry for two decades, but it is not a part of the mainstream curriculum in US-based universities. This is the first gap. The Lean practitioner community affiliated with the Lean Construction Institute (LCI) produces many resources each year that can be used for Lean education and training. However, academia is not always aware of the resources produced by the LCI’s practitioner community. This is the second gap. In this study, both gaps are addressed while fulfilling each other. This study identified potential integration points for Lean in the design and construction programs by providing examples of mapping between existing LCI’s learning resources to their respective student learning outcomes (SLOs) and curriculum guidelines. By looking into different accreditations such as ACCE, ABET, and NCARB, we found that Lean can be integrated with design and construction curriculums in three ways. One addresses project-related Lean implementation areas; two addresses specific Lean Construction systems or methods; and three addresses Lean Construction courses. Selection of the most suitable approach will depend on the program at the US universities and how their classes are designed or structured towards graduation, both at the graduate and undergraduate levels.
Toward an Understanding of Heat Stress & Strain on Roofing Technicians
Authors: Sands Kenneth , Hughes Andrew , Suh Min Jae
Published: May 2024

There is an escalating threat of heat stress exposure by all and those at a disproportionate risk are construction workers. Beyond this, roofers as a subset of those workers are second when it comes to the risk of heat-related deaths, but there are not many studies that specifically focus on the need to protect roofers. That is why it is imperative to further investigate the impact environmental heat has on roofers and this study begins to forward this work by understanding the physiological response of roofers to heat stress to advocate for more research in this area of work. To determine the conditions and physiological response to working in hot environments by roofers, the research team used two wearable devices to obtain environmental heat and core body temperature measures. What is found is that participants experienced significantly high heat index values while working. This is reflected in the measure of workers’ core body temperature readings that in some cases have shown core body temperatures significantly exceeding normal core body temperatures.
Supply Chain Issues in Construction due to COVID-19: Challenges and Resilience Strategies from an Owner's Perspective
Authors: Salman Amna , Peacock Wendy , Collins Wesley
Published: May 2024

The COVID-19 pandemic spread worldwide and affected all countries globally. The strict lockdown sent global economies plunging as it suspended all economic activities. The continuous virus spread had significant impacts on most sectors of the economy, including construction. The construction industry faced challenges, such as labor shortages, material shortages, cost escalations, schedule delays, delayed permits, delayed approvals and inspections, travel restrictions, and serious health and safety concerns among others which hindered the timely delivery of the construction projects. As a result, owners were under immense pressure, especially public universities as there were limited buildings to accommodate the increased teaching and research activities to meet current and future needs. The aim of this research was to investigate how higher education owners mitigated construction building material delays and shortages to deliver construction projects within the timeframe needed to facilitate teaching and research activities. The study was divided into three phases: In the first phase, an extensive literature review and preliminary interviews with the owners and contractors were conducted to explore the strategies adopted to tackle the supply chain issues and their effectiveness. In the next phase, data was collected through a questionnaire survey that included open-ended and closed-ended questions. In the final phase, data was analyzed, and guidelines of best practices were created for owners to tackle issues in future similar crises.
EEG-Based Cognitive Load Comparison in Construction Sensor Data Analytics
Authors: Khalid Mohammad , Akanmu Abiola , Okunola Akinwale , Awolusi Ibukun , Murzi Homero
Published: May 2024

With rising interest in innovative construction methodologies, global construction companies are actively exploring emerging sensing technologies and employing data analytics techniques to draw insights and improve their operations. While numerous educational disciplines employ Block-based Programming Interfaces to enhance domain-specific data-related inquiry and visualization skills, the construction sector has yet to fully explore this practical approach. Introducing block interfaces in construction education may overwhelm newcomers with excessive cognitive load. Past research has primarily relied on subjective measures, overlooking objective indicators for assessing cognitive responses to block interfaces’ interaction elements. This study evaluates the cognitive load induced using InerSens, a Block Programming Interface designed to address authentic construction challenges in ergonomic risk assessment. Electroencephalography is utilized to measure cognitive load, and the results are compared to those of a traditional tool, Excel. Theta Power Spectral Density in the frontal brain region, an indicator of cognitive load, demonstrates that in four out of six tasks, InerSens incurs lower cognitive load than Excel. The findings of this study underscore the potential of InerSens as a viable tool in managing cognitive load efficiency, paving the way for more effective and streamlined sensor data analytics learning experiences for future construction professionals.
Impact of ChatGPT on Student Writing in Construction Management: Analyzing Literature and Countermeasures for Writing Intensive Courses
Authors: Zhao Tianjiao , Chance Ronald , Buckhalter Chelsea , Wang George
Published: May 2024

On November 30, 2022, OpenAI released ChatGPT. This paper conducts a comprehensive literature review of the current state of its application in construction writing and the regulations of academic institutions. It explores ChatGPT’s potential uses and risks as an educational tool to improve construction management writing skills, emphasizing the need for clear usage guidelines to maintain originality and critical thinking in students' work. The study also includes a survey of 110 students from the Department of Construction Management at East Carolina University participating in two writing-intensive courses, to assess their use, attitudes toward ChatGPT and its influence on their writing proficiency. The results suggest that ChatGPT is likely to positively impact students' writing skills, boost their self-confidence, and enhance the overall learning experience if clear guidelines are regulated and implemented.
Graph Theory Implementation Towards Artificial Intelligence Generated Construction Schedule
Authors: Sulbaran Tulio
Published: May 2024

Commercial construction scheduling software (such as Primavera Project Planner and Microsoft Project) has been used by construction professionals for close to 40 years. Although those scheduling tools have been significantly modified over the years, the fundamental basis of the interaction between the construction professional and the scheduling software has remained unchanged where the construction professionals enter information and the software makes calculations and displays the schedule information in tables and graphs (such as CPM Diagram and Gantt Chart). However, in the same period, significant computational advances have been achieved leading to the recent explosion of Artificial Intelligence (AI) capabilities. The problem that serves as a point of departure for this research is that the current construction scheduling software workflow is unable to fully benefit from AI capabilities. Thus, the objective and original contribution of this paper is to describe the implementation of graph theory in Python to facilitate the realization of AI-generated construction schedules. The results presented in this paper are very encouraging as a piece in the puzzle of elements needed to create a new generation of construction scheduling software could benefit from AI capabilities and assist construction professionals in the creation of the construction schedule beyond simply making calculations and displaying information.
Incorporating Industry Professionals as Guest Speakers in Construction Management Programs: Enhancing Knowledge and Learning Experiences
Authors: Jafari Farnaz , Redden Lauren
Published: May 2024

This study explores the impact of integrating industry guest speakers into United States Construction Management (CM) programs on student learning. Combining a primary survey and action research, the study explores the effect of industry guest speakers on students’ educational experiences and the effective approaches to improve student learning. The results indicate that industry guest speakers enhance students’ understanding of the construction industry and enrich their learning. Moreover, a thematic analysis employing inductive coding was utilized to analyze the qualitative feedback from open-ended questions from the primary survey. The findings reveal that students favor interactive formats, such as hands-on workshops and Q&A sessions, over traditional lectures. They strongly desire real-world examples to connect theory with practical application, emphasizing the need for guest lecture content to be pertinent to their CM coursework. Students also advocate for more frequent guest speaker appearances across all CM courses. The study acknowledges the potential for sample size expansion, recognizing its influence on data outcomes. As more participants are expected to join the survey, results may evolve. These findings offer insights for improving guest speaker integration in CM programs to align with students’ desire for enhanced learning experiences.
Predicting Cost Impact of More Energy Efficient New Single and Small Multi-Family Homes
Authors: Bakhshi Payam , Pourmokhtarian Afshin , Cribbs John
Published: May 2024

Focused on Massachusetts, this research investigates the cost impact of constructing residential homes at various energy efficiency levels and uses real quotes obtained from subcontractors working in the state. The study includes single-family homes and small multi-family homes (2-4 units) across different Home Energy Rating System (HERS) scenarios. These scenarios range from traditional homes (HERS 55) to more energy-efficient designs like all-electric homes with mini- split heat pumps (HERS 45), all-electric homes with central heat pumps (HERS 45), and dual-fuel homes with furnaces and ducted heat pumps (HERS 42). The findings reveal that enhancing energy efficiency increases costs, varying with housing type and targeted HERS score. Single-family homes see a cost rise between $3.77 and $8.12 per square foot (SF), while small multi-family homes face higher increases, from $7.75 to $23.78 per SF, mainly due to their smaller unit sizes. In Massachusetts, improving energy efficiency in single-family homes could add between 1.8% and 3.8% to overall costs, based on HERS scores. The incremental costs are primarily linked to insulation, air tightness, windows, HVAC systems, electrical work, and gas line. This study offers insights crucial for developing public policies to mitigate these additional costs and for making informed decisions about housing affordability.
Parents’ Motivation for their Child’s Participation in Construct My Future Summer Camp
Authors: Clinefelter Terry , Bigelow Ben
Published: May 2024

An ongoing concern in the construction industry is the lack of trained skilled workers. Attracting young people to the industry will be vital as the current workforce ages out of the industry. Understanding the younger population’s motivation regarding career choice is important in developing opportunities to expose them to the field. One element to be considered is how parents or guardians might influence their children’s choice to learn about careers in construction. This study used surveys and a grounded theory design to identify reasons or motivations why a parent or guardian chose to send their child to a summer camp focusing on the construction industry. A three- step coding process was used. Open coding identified the reasons the parents/guardians registered their children for the camp. Axial coding identified three themes with two specifically related to the construction industry. Selective coding further identified the parent/guardian’s specific reasons within those two areas of motivation. These were identified directly related to a career in construction: 1) “Spark Interest in Construction Career Option” with an introduction to the construction industry and 2) to provide a better understanding of the “Specific Construction Field and Trades.”
Investigating the Use of VR Visualization to Help Students Gaining Understanding on Pull Planning
Authors: Pratama Lucky , Dossick Carrie
Published: May 2024

This research focused on assessing the effectiveness of Virtual Reality (VR) as a tool for aiding students in grasping the concept of pull planning. In real-world scenarios, professionals from various trades contribute their expertise and project knowledge to establish commitments. Students, lacking substantial industry experience, face difficulties in comprehending pull planning without oversimplification. The proposed solution was an immersive VR visualization linked to the master schedule, allowing students to visualize site conditions during pull planning exercises. The study involved grouping students and equipping them with VR headsets, simulating different trade contractors engaged in pull planning overseen by a moderator. Findings suggest that VR enhances students' understanding of pull planning and also helps them identify additional issues like logistical challenges.
Integrating a Drone-mediated Photogrammetry and Scan-to-BIM Module into an Undergraduate Construction Course
Authors: Albeaino Gilles , Eiris Ricardo , Gheisari Masoud
Published: May 2024

As technology reshapes the construction industry, the need to equip future professionals with essential digital skills becomes crucial. This study explores the integration of drone-mediated photogrammetry and Scan-to-BIM processes in undergraduate construction management education. The study involved introducing students to drone technology, Structure-from-Motion (SfM) photogrammetry, and Scan-to-BIM processes. Specifically, students were tasked with generating point clouds from drone-captured images, examining the effects of different flight parameters on point cloud accuracy, and then converting point cloud data into building information models (i.e., Scan-to-BIM). Results indicate that students developed a strong understanding of Scan-to-BIM processes and their practical applications, being able to recognize the benefits and potential applications of such processes. By incorporating these advanced digital tools and techniques into construction education, this study contributes to the industry's readiness for the evolving landscape of construction and ensures that future professionals are more competitive and well-prepared for the construction industry's digital transformation.
Attracting and Retaining Talent Through Employee Ownership : A Study of ESOP Ownership
Authors: Wyman Dan
Published: May 2024

Research has begun to study ways for the construction industry to win the war on the global labor shortage, it has become more of a challenge to attract and retain talented employees. The labor shortage makes it difficult to match positions with candidates in the first place, but keeping the talent you already have is an equally pressing matter. Together, these factors paint a challenging picture of the road ahead for the industry. To attract and retain talent, some construction companies are transforming themselves into a place where people want to work and stick around. Employee ownership is one business strategy companies have found to help attract and retain long term employment. The initial idea was designed to increase wealth after retirement and develop a culture that allows employees the opportunity to be active and engage in company strategies. The focus of this paper will show how successful Employee Stock Ownership Plans (ESOPs) impact employee retention, productivity, and engagement in becoming the employers of choice. The research shows how a positive employee attitude towards ownership will lead into a long career in construction, all the way to retirement.
A Review of the Evolution and Performance of Particleboard from Different Types of Organic Waste and Adhesives
Authors: Mirindi Derrick , Panthi Kamalesh , Sanders Thach Tonya , Hunter James
Published: May 2024

The increasing demand and rising price of wood-based materials have led to a need for alternative raw materials in particleboard production. Agricultural waste, such as waste wood and recycled wood waste, as well as food waste, can serve as ideal alternatives to traditional wood chips, which account for more than half of the production cost. Utilizing agricultural waste, food waste, and industry materials is not only cost-effective but also a key principle of the circular economy, leading to reduced carbon dioxide emissions. Nevertheless, there is a lack of an updated, comprehensive assessment of the exploitation of these materials in particleboard production. This article reviews the current state-of-the-art particleboard production using environmentally friendly agricultural and food waste materials and recycled wood waste. The review categorizes particleboards into three groups: particleboards made with agricultural waste, food industry waste, and wood-based waste. The purpose is to compare the mechanical and physical properties of the resulting particleboards and establish their use in building construction according to various particleboard standards. This study demonstrates that wood-based, agricultural, and food waste can be transformed into high-quality, eco-friendly particleboards that surpass industry standards and are suitable for various applications such as construction, furniture, and laboratory equipment. The integration of these waste materials into mainstream production highlights the role of innovative recycling techniques in promoting sustainable urban development and construction practices. This approach significantly contributes to reducing deforestation, preserving natural habitats, and providing affordable housing, supporting a more sustainable and responsible approach to resource management. This review is undertaken to address the critical need for sustainable alternatives in particleboard production amidst environmental and economic challenges. It aims to consolidate recent advancements in using waste materials, providing a comprehensive assessment essential for future research and industry application. This effort aligns with global environmental objectives and advances the circular economy.
Effects of Thermal Conductivity of Concrete on Jointed Plain Concrete Pavement’s Performance and Design Slab Thickness
Authors: Tafannum Tasfia , Sabih Gauhar , Cavalline Tara L. , Tempest Brett Q. , Islam Md Mirajul
Published: May 2024

This study investigates the influence of thermal conductivity of paving concrete on the performance of Jointed Plain Concrete Pavement (JPCP). The thermal properties of concrete play a crucial role in determining the response of pavements to temperature variations, affecting their durability and structural integrity. Through a comprehensive analysis, this research aims to elucidate the direct relationship between thermal conductivity of paving concrete and JPCP performance. The experimental approach involves varying levels of thermal conductivity in concrete mixtures to observe corresponding changes in pavement behavior. Thermal conductivity alterations are achieved by modifying material composition and incorporating additives. The study evaluates how these changes impact critical factors such as temperature-induced stresses, crack propagation, and overall pavement distress. Results from this investigation contribute valuable insights for optimizing JPCP design and materials selection, with a focus on enhancing pavement performance. By understanding the nuanced effects of thermal conductivity, engineers and practitioners can make informed decisions to improve the resilience and longevity of concrete pavements, especially in regions prone to temperature extremes. The pavement designers should incorporate laboratory tested thermal conductivity data for JPCP design otherwise the use of default data will result in under designed pavement that might fail prematurely. This research has implications for sustainable infrastructure development, offering a foundation for more robust and climate-responsive pavement design practices.
Role of Modularity in Adoption of Off-Site Construction
Authors: Chavan Abhay , Ghosh Somik
Published: May 2024

Offsite construction is beneficial for cost and schedule savings, creating a safer construction environment, and sustainability. Despite its historical use in the US since 1908, offsite construction has faced challenges in gaining a significant market share. Recently renewed interest has emerged, driven by increased housing demand and labor shortages. Leveraging prior research, this paper categorizes drivers from existing literature and investigates how modularization enhances these factors. A systematic literature review reveals that modularity can significantly benefits drivers of offsite construction grouped under different categories such as: cost and profitability, schedule, safety and quality, environmental sustainability, design and engineering and adoption of new technologies. The systematic literature review was followed by interviews with subject matter experts. The interviews highlighted the importance of modularity for efficiency and profitability, suggesting its potential to drive increased adoption in the industry.
Importance of Certification in the Construction Industry: Case of Value Engineering
Authors: Wao Joel , Kosgei Mercy , Healey Johnny
Published: May 2024

Construction project cost saving can be achieved while sacrificing the performance, quality or safety levels without knowing. With the increasing demands of project owners, it is key to optimize cost, performance and quality to obtain the needed value. Value engineering (VE) is a potential tool for achieving value in projects. The Southwest Florida region in the United States of America (USA) experienced an influx of people with increased number of construction projects, but it was not apparent whether the needed value was being obtained by the project owners. Therefore, research was conducted focusing on VE implementation in various construction projects with the specific aim of investigating the existence of VE, amount of its use, certifications and outcomes. Online survey questionnaire was administered to construction practitioners in the region to get their feedback about VE. Results showed that VE was used by experienced contractors who were mainly involved in various projects where they benefited from using VE. However, the knowledge of VE was not at the required level with limited VE certifications to warrant demonstrated qualifications to provide value in projects. It was recommended that more VE training was needed to streamline efforts for certification and value addition in the construction industry.
Opportunities for Improving Water Certification on LBC Projects in Semi-Arid Climates: Colorado Case
Authors: Wahl Trevor , Valdes-Vasquez Rodolfo , Olbina Svetlana
Published: May 2024

Sustainable design and construction continue to gain traction, and more projects are incorporating water usage and efficiency practices into their designs. These practices are important in sustainable building and are prevalent in many projects. This study aimed to examine the Living Building Challenge (LBC) rating system and identify its standards for water efficiency, which are described by the water petal. The feasibility of incorporating water imperatives described in the water petal was investigated by conducting site visits to three projects in Colorado. Observational goals for each site visit were clearly defined as part of the data collection and helped analyze each project. The challenges and successes of each project are also identified and discussed. The results indicated that Colorado water law is one of the most significant challenges, along with the failure of design teams to coordinate with municipalities or utility companies early in the design process. However, progress has been made throughout the three projects, with reduced water usage and efficiency becoming more prevalent in later projects. Efficient water usage will continue to gain importance as the scarcity of water increases; therefore, it is essential to continue working towards incorporating responsible water practices in future projects.
Machine Learning for Improving Construction Productivity: A Systematic Literature Review
Authors: Sultan Asad , Gao Zhili
Published: May 2024

Machine learning, as one of the Artificial Intelligence (AI) approaches, has been widely adopted in various fields and is now becoming one of the emerging technologies revolutionizing the construction industry. One of the machine learning applications in the construction industry is to improve construction productivity. However, the current application in this field primarily focuses on enhancing productivity within specific, isolated construction tasks, often lacking real-world applicability. Therefore, a more holistic framework aimed at enhancing productivity across the entire construction process is desired by industry professionals. To enhance readiness for constructing such a framework, a methodical examination of existing literature has been carried out to explore the status of utilizing machine learning to enhance efficiency in construction practices. This review not only identifies but also categorizes the existing machine-learning applications and practices. Additionally, it highlights limitations and potential enhancements within current machine learning techniques, offering valuable insights for future research endeavors.
An Analysis of Sustainability within Construction and Civil Engineering Curriculum
Authors: Farnsworth Clifton , Hadfield Jonnie , South Andrew , Wang Xiaomei , Bown Michael
Published: May 2024

Sustainability is crucial for minimizing environmental impact, ensuring the responsible use of resources, and creating resilient and socially conscious spaces that contribute to harmonious coexistence between the natural, built, and social environments. Because sustainability principles are embedded across the full life cycle of the built environment, sustainability should be an integral part of construction and civil engineering-based curriculum. This research performed an analysis of construction and civil engineering program curriculum to explore where sustainability is being taught, what types of content have been developed, and how prominent a role it plays across the curriculum. The results showed that although generally acknowledged in program descriptions as a prominent industry practice, many programs do not explicitly acknowledge sustainability within course titles or descriptions. Other institutions generally use it as a coupled descriptor for other key built environment topics, such as materials or infrastructure. Programs that seem to have most effectively incorporated sustainability have made a deliberate effort to emphasize it beyond just trendy terminology. This paper identifies trends in sustainability education and provides examples of how programs explicitly focus on sustainability. The results of this research can help generate ideas for strengthening sustainability education within built environment-based curriculum.
The Impact of Pre-graduation Experience on the Longevity of Initial Full-time Employment
Authors: Herrmann Michele
Published: May 2024

While it is common for universities to track employment rates for recent graduates, it is not as common for universities to track the longevity of the initial job placement. Previous studies have demonstrated the benefits of experiential learning for construction management students, but there is less information available about whether and how industry experience prior to graduation may impact the longevity of the initial full-time job. This study involved a survey of alumni about their industry experience prior to graduation and the longevity of their initial full-time position. Descriptive statistics indicate that students who had prior experience with their full-time employer were more likely to still be working for that full-time employer than those who had no prior experience with the company prior to graduation. The results also indicate that those with multiple internship experiences, as well as experiences with multiple companies, are more likely to still be working for their full-time employer than those who did not. The results of this study can be useful to those who advise students about internships and full-time job placement, as well as companies who are seeking to improve retention.
Errors and Omissions in Concrete Formwork and Technology Solutions
Authors: Qasrawi Amani , Langar Sandeep , Sulbaran Tulio
Published: May 2024

Concrete is an indispensable material in contemporary construction, used for various elements such as foundations, columns, beams, and slabs. Construction and design phases are prone to errors and omissions, which can lead to a wide range of negative consequences, resulting in delays, increased costs, compromised structural stability, and safety hazards. A significant part of the construction industry's efforts is directed toward enhancing efficiency and mitigating such issues. This study aims to identify errors and omissions in concrete structures and assess technologies and techniques that have the potential to prevent these issues. This study uses a three-phased qualitative content analysis and found the top three categories associated with concrete errors and ommissions were: "Design-related, Formwork installation and execution, and Defective formwork and structural," which encompassed 70% of the identified problems. In addition, the research identified that the majority of the solutions identified could be identified as the theme of "Technological Tools."
Construction Case Studies: A Partnership with Engineering News Record (ENR) and the Associated Schools of Construction
Authors: Holtzhower Lantz , Benhart Brad , Cline Casey , Jenkins James , Farrow Ben
Published: May 2024

In 2020, the Associated Schools of Construction (ASC) established a relationship with ENR to provide free subscriptions to students and faculty. This collaboration grew to include the development of the ASC ENR Student Edition published four times a year highlighting case studies. This introductory, pilot study sought to explore student perceptions of experience, engagement, and learning from the case studies. Seventy-six senior construction management students at three universities were assigned case studies specifically related to ongoing learning. Students completed an 18-question Qualtrics survey regarding their experiences. Results indicated strong perceived value by students. 76% of students reported satisfaction with the case studies as part of their learning experience. Additionally, 86% reported strong connection to classroom material. However, the survey highlighted areas for improvement. For example, students cited amplified value of the case study when active discussion was included after students considered the questions. The data pointed toward a need for faculty to be better trained on how best to use case studies in the classroom, as well as the need to include discussion and additional related sources. Overall, the results of this pilot study suggested that the ENR case studies are a valuable tool for students in construction management courses.
3D Concrete Printing (3DCP) Education in the Construction Industry
Authors: Afsari Kereshmeh , Babajaniniashirvani Vida , McCoy Andrew
Published: May 2024

evolutionizing the construction industry, Three-Dimensional Concrete Printing (3DCP) technologies offer a practical remedy for material and labor shortages, mitigating supply chain risks while simultaneously ushering in a wave of new job opportunities demanding advanced skills. The technology is complex though and teaching practices in construction education and professional development need to address the new skills requirements for working with the new technology. The goal of this paper is to provide an overview of the current status of 3DCP education and 3DCP educational needs and opportunities in the construction industry. This paper provides a review of existing efforts in the education of 3DCP. It also explains a case study of the design and construction process of a 3D printed affordable house focusing on the 3DCP education needs and the training approach in the case study project. The research results provide an understanding of current efforts in 3DCP training, potentials of 3DCP education in construction, and the path forward for required education of 3DCP in the construction industry.
Surveying Education in Construction Programs: A Systematic Review
Authors: Pradhan Srijesh , Besiktepe Deniz
Published: May 2024

Construction surveying is part of the core curriculum in construction degree programs. Focusing on teaching the surveying fundamentals, instrument use and practice, and more importantly, the interpretation and communication of surveying outcomes in different stages of construction projects, these programs have a critical mission to train the future workforce of construction professionals competent in surveying. As a preliminary effort to explore the status of surveying education in construction programs, this systematic review aims to scrutinize the existing literature on construction surveying education, highlighting trends and developments in pedagogical approaches, technological integration, industry demands, and academic standards. First, a set of qualifying criteria is developed, articles are searched from scholarly databases, and then the articles are screened using a machine learning tool. In the final step, the articles are reviewed to determine their fit into the topic. The findings highlight key themes: blended learning, emerging technology, evolving industry needs, and learning advancements, where most of the scholarly works direct their efforts. This study adds to the body of knowledge of surveying education literature by providing a comprehensive analysis of evolving skillsets and pedagogical strategies that are shaping the future of construction surveying education.
A Case Study in Developing a Graduate Studies Course Focusing on Soft Skills in Teamwork
Authors: Lefebvre Gabriel , Lees Melvyn , Daigneault Guillaume , Painchaud Francis
Published: May 2024

This paper describes the first phase of developing a new graduate studies course that focusses on the soft skills associated with the effective functioning of construction project teams. An examination of the literature regarding the need for the course is compared to the expectations of industry and a gap between employer needs and graduate capabilities is identified. The paper describes the processes involved in developing a course to fill the gap including securing funding, finding appropriate expertise, establishing the course aim and learning outcomes, designing the structure, determining the pedagogical approach, assessment strategy, and preparation for delivery. The paper concludes with an explanation of the next steps in the second phase.
Building a Better Classroom and Learning Experience in Construction Management Courses through Flipped Learning
Authors: Rogers Peter , Martin Clint
Published: May 2024

Concern that increasing student enrollments and larger class sizes are impacting student learning motivated faculty at a 4-year public university in the Southeastern USA to perform a mixed-method study to examine the effect of a Flipped Classroom Model (FCM) on required course within a Construction Management program. The study targeted 120 students enrolled in both on-campus (45 students) and online (75 students) classrooms. While the online students were taught asynchronously using a traditional lecture-based classroom model, the on- campus students were taught using an FCM. Thus, the online students served as a control group, while the on- campus students served as a study group. Both online and on-campus students were taught by the same instructor using the same materials and assessments. Student academic performance was measured using several assignments, with additional qualitative data collected through both pre-implementation and post-implementation surveys. Data show a significant improvement in both the distribution and average assignments scores in the study group. The study also reveals several interesting trends regarding student reactions to flipped learning, the importance of self-directed learning, and the role of technology in strengthening student learning and problem- solving abilities.
Assessing the Quality and Reliability of Fall Safety Training Videos on YouTube: A Preliminary Study
Authors: Uddin S M Jamil , Figueroa-Baltazar Alexis , Chau Anh
Published: May 2024

Fall hazards persist as a critical concern in the construction industry, constituting a leading cause of both fatal and non-fatal accidents. Over the years, scholars and industry professionals have come up with numerous safety training strategies to overcome this challenge. However, these safety training programs often fail to educate the trainees adequately due to their traditional and ineffective nature. Recently, YouTube has been adopted widely as a platform to disseminate educational information and resources. However, the quality and reliability of the YouTube videos remain questionable. This study focuses on assessing the quality and reliability of fall safety training videos available on YouTube. To achieve the objective, this study adopted one of the widely adopted tools, DISCERN. The results of this study demonstrate that the majority of assessed videos are of good quality and can be relied on as it comes to fall safety training. This research is one of the first attempts in highlighting the potential of DISCERN as a robust tool for assessing and filtering YouTube videos. The results affirm the feasibility of leveraging YouTube as a viable platform for utilizing reliable fall safety training content, thus contributing to the enhancement of safety practices within the construction industry.
Building and Implementing an Economical Construction Equipment Simulator as a Virtual Reality Tool in the Classroom
Authors: Cook Marllon Dan , McCrary Molly
Published: May 2024

Virtual reality is a growing technology topic within the construction industry. Virtual reality cannot only provide entertainment, but it can be used for educational learning and training sessions. One key component of virtual reality incorporated into training sessions focuses on the simulation aspects where the environmental around a person imitates close-to real life conditions. Virtual reality simulations can take on many different forms such as a game, role-play, or even a training activity. Virtual reality through the development of construction equipment simulators has been used to help train construction equipment operators. Yet, the affordability of these simulators may not be within the budget of a company or educational institution. This paper discusses the basic components of a construction equipment simulator and provides insights into how a more economical affordable simulator may be built for the use of educational purposes.
Transforming Construction Practices with Large Language Models
Authors: Ahmadi Ehsan , Wang Chao
Published: May 2024

This paper investigates the diverse applications of Large Language Models (LLMs) in the construction industry, emphasizing their transformative role in supporting human decision-making, enhancing efficiency, and improving accuracy in various tasks. The study explores LLMs' capabilities in key areas such as document analysis and quality control, data processing and information retrieval, content creation and management, and the development of interactive and customized systems. Through real-world examples, we illustrate how LLMs are driving innovation and progress in construction. These applications showcase LLMs' effectiveness in elevating operational efficiency, from nuanced document analysis to the advancement of interactive system development, fundamentally transforming the approach to construction management.
A Comparative Analysis of Point Clouds Acquired from UAV Photogrammetry and UAV-based LiDAR in Built Environment
Authors: Yucel Busra , Liu Junshan , Alathamneh Shadi
Published: May 2024

Advancements in reality capture techniques have transformed the use of 3D datasets into a crucial resource for surveying and documentation in the Architectural, Engineering, and Construction (AEC) field. Unmanned aerial vehicles (UAVs) are widely employed in this domain, offering high- quality mapping data. However, issues related to volumetric measurement accuracy in UAV-based 3D models have been observed. In contrast, UAV-based Light Detection and Ranging (LiDAR) technology has emerged as a promising alternative, with superior coverage and accuracy. This study aims to conduct a comparative analysis of point clouds acquired from a camera-equipped UAV and a LiDAR-equipped UAV. The findings reveal that UAV-based photogrammetry demonstrates less relative accuracy compared to UAV-based LiDAR, thus providing valuable insights for professionals in the AEC industry. The results of the study may help small and medium-sized construction companies that have limited resources for LiDAR investment.
Project Based Learning Impact on Positive Affect and Negative Affect
Authors: Coakley Brendan
Published: May 2024

Project based learning (PBL) for construction education has established positive learning outcomes for students in Construction Management programs. Business management research has shown increased Positive Affect (PA) and lower Negative Affect (NA) align with positive business behaviors. The main objective of this study was to investigate whether implementation of PBL in Construction Education using a real-world capital improvement project with requirements for development of pre-construction deliverables would have an impact on student participants’ Positive Affect and or Negative Affect toward the real-world Owner, Customer, and Users of the subject project. Throughout the PBL module, students engaged with project stakeholders through meetings, discussions, and correspondence to develop the capital improvement project deliverables of a project scope, schedule, estimate, and programing documents. Students completed a pre and post survey to see if their PA and or NA would be changed after the completion of the PBL module. At the conclusion of the project based learning module, the researcher found increased Positive Affect toward the owners and decreased Negative Affect toward the owners, requesters, and users.
Comparing Personality Traits and Tendencies: A Study of Facility Managers and Procurement Professionals
Authors: Somuah Juliana , Kassa Rebecca , Ubi Nneka , Shah Dishita , Smithwick Jake
Published: May 2024

The facility workforce has recognized an increase in the number of facility management professionals. However, the ability to identify, develop, and retain these individuals is an essential task to the success of the facility management sector broadly across many organizations. As a result, the purpose of this research is to shed light on the usage of human traits profiles for facility professionals using procurement professionals as a benchmark of comparison to assist in recruiting and retaining experts in the facility workforce. The study used HEXACO personality inventory, Emotional Intelligence, and Q-Disc behavioral diagnostics to identify the differences between 49 facility managers and 319 procurement professionals. The collected data was analyzed using a t-test to estimate quantitatively. This analysis identified significant differences between the two fields. As one of the few studies for human traits profiles in facility management, this paper will help enhance talent retention and solidify the facility management industry's foundations on a global scale.
Green Finance Gap in Sustainable and Equitable Transportation Infrastructure Systems: A Data Driven Bibliometric Analysis
Authors: Li Mingshu , Zheng Qiu , Ashuri Baabak
Published: May 2024

The transportation sector is crucial in the global economy's decarbonization efforts. In this context, green financing emerges as a crucial strategy for mobilizing financial resources to reduce carbon emissions and address climate change, yet it has received limited academic attention. This paper aims to bridge this gap by offering an overview of the academic development of green financing in transportation, employing a bibliometric analysis approach. Data for this study was sourced from the Scopus database, covering the period from 2007 to 2023. The quantitative analysis of relevant academic literature identifies key green financing mechanisms and their applicability in sustainable transportation. Our findings reveal that this field is gaining increasing academic attention, evidence by publications and citations, with significant contributions from China, the United States, and European countries. Through text mining, certain thematic areas were identified, including carbon pricing and offsetting, ESG, climate policy and change. This research contributes to literature by providing a detailed assessment of the academic interest, current status, and future directions in this domain. It is anticipated that these insights will guide researchers, policymakers, and practitioners, aiding them in capitalizing on emerging investment opportunities, envisioning green outcomes, and promoting more sustainable and equitable communities.
Terrestrial Laser Scanning and UAV Laser Scanning: Comparing Point Cloud Accuracy for Digital Elevation Model
Authors: Anwar Rana Muhammad Irfan , Alathamneh Shadi , Liu Junshan
Published: May 2024

Terrestrial Laser Scanning (TLS) and Unmanned Aerial Vehicle (UAV) Laser Scanning (ULS) are both emerging technologies for rapidly capturing detailed 3D data of structures and environments. This study provides a comparative analysis between these two scanning techniques in terms of the accuracy and differences of the resulting 3D point clouds. A case study was conducted where TLS data was collected from ground-level scan positions while ULS data was captured through automated flights around the facility exterior. The point clouds from each platform were evaluated based on point density, geometric accuracy assessments, and ability to capture fine details. The TLS scans produced a highly accurate and detailed point cloud which was used as a benchmark in this study. The UAV scans exhibited less accuracy when compared to static TLS. However, the UAV was better able to capture hard-to-reach areas and provide a more complete model of the study site exterior. This research provides quantitative and qualitative comparisons between these scanning platforms to help determine the best approach based on requirements. The results will help professionals select the optimal scanning technology for generating the Digital Elevation Models (DEMs) depending on the application and accuracy requirements of the targeted DEMs.