. Students could simulate building operations andmaintenance processes using model-based data-driven platforms that support the ConstructionOperations Building Information Exchange (COBie) standard. The real-time monitoring ofoccupancy and space utilization further enhanced their understanding of operational efficiency inthe built environment. The primary goal of this project was to foster technical proficiency, criticalthinking, and problem-solving skills through four steps within the experiential learning experience:abstract conceptualization, active experiment, concrete experience, and reflective observation.With direct engagement with advanced tools, student reflections indicated a significant increase inconfidence and motivation to apply these
challengesmastering these concepts, which impacts their academic and professional development.An exploratory mixed-methods approach was used, combining surveys and classroomactivities. Data were collected from 32 Construction Engineering students enrolled in theApplied Statics course during the spring 2024 semester at a private university in Chile.Surveys were administered at three stages—beginning, after AI-mediated activities, and endof semester—capturing students' perceptions of ChatGPT’s integration. The studydemonstrates that ChatGPT was positively perceived as a complementary learning tool,helping students clarify doubts, reflect on errors, and strengthen critical thinking. Over thesemester, students developed greater confidence in the tool, valuing
workshops and structuredinterventions (intentionally designed activities with guided steps, such as promptingquestions, that help students reflect, think conceptually, and reach the appropriate solution toa problem) [16]. Haas et al. [17] demonstrated that workshops focused on team effectivenesssignificantly enhance teamwork perceptions by ensuring all members are familiar withproposed solutions. At the same time, Miralami et al. [3] warned that a lack of formal trainingin teamwork skills can exacerbate inequalities, particularly those based on gender and race,negatively impacting students’ sense of belonging and team dynamics.Innovative approaches, such as game-based methodologies, offer additional opportunities todevelop critical teamwork skills
engineering and construction context aims to engage engineering and constructionmanagement students in world history in a way that is more interesting for them than a typicalhistory course. Essays throughout the course ask them to reflect on aspects of the projects thatdirectly relate to construction such as (1) challenges that were encountered during theconstruction, (2) examples of modern structures that were inspired by the projects, and (3) howconstruction techniques and project management have evolved over time. Students are alsoasked to reflect on political, economic, and social aspects of the projects, which help to engagethem in the historical context and be exposed to the fact that many complexities of constructionprojects go beyond just
applications, helping students develop a deeper understanding of how environmental,technical, and socioeconomic systems interact in the future of construction and the builtenvironment. The assignment aims to help students identify and reflect on specific callouts’feasibility, relevance, and implications. Their submissions are analyzed through qualitativecontent analysis.Preliminary results from this ongoing study suggest that the FWV assignment has successfullyinspired students to explore a range of futuristic construction topics. Findings reveal that studentsprioritized 117 callouts of the 446 included in the platform, emphasizing automation,sustainability, and urban resilience, such as programmable construction sites, greeninfrastructure, and
throughactivities that involve concrete experience, reflective observation, abstract conceptualization, andactive experimentation [5]. Summer camps, in particular, serve as effective platforms for thismodel, as they provide immersive environments that blend structured learning with real-worldapplications. Studies by Yilmaz et al. and Hammack et al. have demonstrated that STEM-focusedcamps foster a lasting interest in engineering and related fields, especially when activities includefield trips, direct industry engagement, and project-based learning [6-7].Construction Engineering in STEM Outreach: The integration of construction engineeringconcepts into STEM outreach programs can provide students with a clearer understanding of thedesign and implementation
socio-economic challenges, including rapid urbanization, poverty and limitedinfrastructure development (Ganda, 2019). Countries in these regions are classified as“developing” based on criteria such as lower GDP per capita, less developed technologicalinfrastructure and ongoing challenges in areas such as healthcare, education and povertyalleviation.2. Understanding the Modular Construction ConceptModular construction has deep historical roots and a rich evolution that reflects humanity’spursuit of efficiency in building practices. The origins of modular construction trace back to the17th century, when prefabrication techniques began to emerge. One notable example is the “kithouses” exported from England to colonial America in the 1620s
fields of ComputerScience and Information Technology, reflecting the technical foundation of chatbot development.Key sources of publications include Lecture Notes in Computer Science (36 publications), ACMInternational Conference Proceeding Series (28 publications), Communications in Computer andInformation Science (23 publications), and Computers and Education: Artificial Intelligence (13publications). Engineering-related research represents 7% of the total publications (91 studies),with a subset of five focusing specifically on CEM. Notably, the ASEE Annual Conference andExposition has contributed three publications explicitly mentioning AI chatbots, furtherhighlighting their relevance in engineering education and research. Although still a
seniors formed the majority of 79% of the participants, due to their advanced academicpreparation. Strategies to engage more freshmen and sophomores could encourage earlierinvolvement, providing long-term benefits for their academic and professional journeys.The predominance of medium (58%) and low-income (38%) participants highlights the importanceof providing financial assistance to ensure equitable access to the competition for all students.4.2. University Coursework AlignmentOverwhelming agreement (90%) reflects the competition’s role in inspiring academic excellence.Participants reported that the challenge of the competition pushed them to excel in theircoursework. Motivation for Coursework Neutral
these gaps, this study applies a modified Social Cognitive Career Theory (SCCT)framework [11], [12], emphasizing on four primary constructs: self-efficacy (i.e., beliefsin one's ability to successfully complete specific tasks), outcome expectations (i.e., beliefs aboutthe consequences of performing tasks required for success), vocational interests, and careerchoice goals. Self-efficacy plays a crucial role in motivating individuals to engage with andpersist in pursuits related to their careers [13]. Vocational interests reflect the patterns of likes,dislikes, and preferences toward specific career domains, while career choice goals pertain toindividuals' aspirations and intentions to pursue specific career paths [13]. SCCT provides
significant steps to advance DEI through strategic diversity andinclusion plans informed by contributions from university community groups. Followingguidance from state equity initiatives, the university reviewed its system-wide vision andincorporated DEI principles into its institutional framework. Key actions included the formationof task forces and committees focused on diversity and inclusion at various levels of governance.These groups assessed current policies and practices, identifying barriers to equity andopportunities for growth. A new DEI-focused vision and mission were crafted to reflect thesepriorities, accompanied by regular faculty and staff training programs. These training sessionshighlighted best practices for fostering a healthy
exercises such as role-playing, simulations, and casestudies provides students with hands-on experience in applying ethical principles. For example,students might be presented with a case in which they must weigh competing ethical priorities,such as ensuring compliance with environmental regulations while meeting tight projectdeadlines. Guided reflections and discussions can help students explore how different ethicaltheories offer alternative approaches to resolving these dilemmas.Furthermore, integrating ethical frameworks with industry-specific codes of ethics creates a morerobust ethical foundation. This connection ensures that students not only understand ethicaltheories in isolation but also see how these principles reinforce professional
, programming, sensor integration, and data analysis while alsostrengthening their critical thinking, problem-solving, and teamwork abilities. This approachensures students are better prepared for the evolving construction industry, where integratingsensing technologies and AI-driven tools is becoming increasingly important for safety andinnovation.3.4.2 Assessment PlanStudent learning and project effectiveness were assessed through a combination of projectdeliverables, peer evaluations, and reflective surveys. The assessment focused on both thetechnical skills gained and the collaborative process throughout the project. 1. Project deliverables: Each team were required to submit a final prototype and presentation, showcasing their research
heavily depends on interactions among participantsthrough various class activities. The classroom environment reflects the characteristics of itsparticipants and significantly impacts students’ learning as they engage with one another. Thispaper presents a quantitative analysis of the classroom environment, focusing on socialrelationship development activities and their effects on student performance in a constructionmanagement course. In this case study, social relationship development activities are defined aspedagogical methods aimed at increasing student engagement, serving as an alternative to thetraditional lecture format. A total of six social relationship development activities were evaluatedby students in terms of their impact on the
inimplementing automation and robotics technologies in the classroom and in the industry,reflecting the conservative nature of the industry. They also indicated a perceived lack of interestamong civil engineering students at that time in learning about construction automation androbotics.Current status of incorporating automation in construction educationIncorporating automation-related concepts and practices in the construction managementeducation curriculum is important for preparing future professionals to navigate the rapidlyevolving landscape of the construction industry [6]. The construction sector increasinglyembraces technological advancements in planning, design, construction, andoperation/maintenance, posing a need that students must be
-worldimplications to students’ abilities to empathize, relate emotionally, and reflect on ethical orinclusive practice [12]. Too, the existence of codes and regulations in construction educationalmost exclusively focuses on the resulting building being inclusive and accessible as in Marteland Paton-Cole [13], rather than on improving conditions for the workers doing the building.There are a few examples in the literature that get closer to uniting teaching with professionalpractice around disability in construction education. These tend to be descriptions rather thanevaluations of educational or curricular interventions and come from other related fields such asarchitecture. Most pertinent may be Livingston’s 2000 article [14] describing a
graduate Foundations I -Estimating, and the case involves the use of Togal.AI, ChatGPT, and MS Copilot forconstruction estimating solutions. This approach is suitable because it allows for in-depthexploration of students' perceptions, challenges, and the impact of AI tools on learningoutcomes. An IRB approval was obtained for the study.ParticipantsThe participants in this study are students enrolled in a graduate course (n=9). These studentswere assigned a semester project to explore and utilize various AI tools to complete constructionestimating tasks. Students provided individual submissions detailing their experiences,preliminary research, and reflections on using AI tools during the semester. Their variedbackgrounds, ranging from minimal
in their demographic reporting, reflecting evolving approaches to genderrepresentation in academic research. Regarding graduate programs, the studies encompassed avariety of disciplines. Engineering programs were prominently featured in [15, 16, 17, 18], whileother studies focused on social work [8], natural sciences [6], and multiple disciplines [11].Some studies [5, 7, 9] examined graduate student experiences across various programs without aspecific disciplinary focus.For stressors affecting international graduate students (Table 1), academic challenges emerge asa consistent theme, with most studies highlighting coursework pressure, research requirements,and scholarly expectations [8, 10, 12, 13, 14, 15, 17, 18]. For instance, study [15
names, programCIP designations, and individual course offerings, illustrating the multi-disciplinary and uniquenature of construction education. This diversity is also a reflection of the different educationalapproaches. Although the ACCE and ABET accreditation standards would have a minimummathematics and physical science requirement, the accreditation process relates to the entirecurriculum for a degree program. It is assessed mainly by the learning outcomes rather than theindividual course offerings.As a part of the discussion, the following issues must be noted: • There is a clear difference between the construction engineering/technology programs and the construction management/science programs. The engineering/technology
testing, such as weekly quizzes, encourages continuous learning and better testperformance by helping students develop effective study habits [41]. This phenomenon, knownas "washback," demonstrates that frequent assessments foster practice and review, contributingto improved retention and understanding [42]. The positive effects of regular evaluations are alsoassociated with students’ ability to organize and apply their knowledge more effectively.In contrast, the use of grades as a sole indicator of academic success has limitations, as they donot always reflect the depth of a student's knowledge or understanding of a subject [43]. Whilegrades serve practical purposes, they may not accurately indicate how well students havemastered material or
Reel-style platform’s potentialas a platform for educational engagement, where users can continuously build on theirunderstanding through the content shared within the community [26], [27], [28], [29]. The shiftin learning practices reflects a broader digital transformation that has affected the way peopleapproach education, emphasizing the need to adapt teaching methods to leverage technologicaladvancements effectively.The digital revolution has introduced significant changes to educational strategies, and theseshifts require the adoption of new teaching and learning approaches [30], [31], [32], [33].Technological tools alone are not enough to foster innovation in education; they must beintegrated with novel educational methods that reflect
sustainabilityprojects provided students with hands-on opportunities to develop competencies critical for thegreen building industry. Specific course outcomes were aligned with NACE competencies, andadditional learning objectives were introduced to address gaps, ensuring a more comprehensivecompetency development approach. However, this study did not evaluate the students’ perceivedgrowth as a result of this implementation.Walters [6] investigated the integration of NACE competencies in architectural engineeringcurricula, focusing on aligning core competencies with ABET standards and programeducational outcomes. The study utilized a systematic framework to map course objectives withNACE competencies. Their study included assessments of student self-reflections
haveconsiderably lower sleep time compared to other industries, aligning with the demanding natureof the construction industry and its often-irregular work hours.Both groups identified similar top factors impacting sleep deprivation, including tight schedules,heavy workloads, and fatigue from previous days. However, construction students perceivedfamily-related issues as less impactful on sleep deprivation compared to engineering students,potentially reflecting varying perceptions of work-life balance between the two fields. Animportant observation was the difference in perceived impact of sleepiness on depression.Construction students rated this impact considerably lower than engineering students, which isparticularly noteworthy given that the
Woodrow Wilson in support of vocational education in the United States.This bill allowed federal funding to promote further vocational education programs [3]. Federalfunding helps financially support vocational schools but it also “demonstrates a recognition ofthe fact that education is a component of national economic growth. It affirms a nationalcommitment to preparing the labor force as a whole and serves as a national response to thegrowing need for skilled workers in new occupations” [4].Vocational education has evolved throughout the years causing a name change in 2006 to CTE(Career and Technical Education) to reflect the changing education that went from strictlyvocational to emphasizing real-world skill and practical knowledge [5]. Across
measurable student improvement incomprehension, skill development, or knowledge retention. For instance, research by Constantinouet al. [4] and Zhou and Song [5] provides quantitative data showing significant learning gains whenusing AI-enhanced tools, with improvements in analytical capabilities ranging from 25-40%compared to traditional methods. The selected applications have demonstrated capacity to enhancestudents' ability to visualize complex systems and understand multifaceted sustainability conceptsthat are often challenging to grasp through conventional instructional methods. Industry relevanceserved as another crucial selection criterion, ensuring that the reviewed technologies reflect currentand emerging trends in professional practice
the construction industry (years) (n=16)According to the majority (43%) of the respondents, AI is primarily used to improve projectefficiency. This is followed by 30% of respondents who indicated that AI is used to makeprojects more cost-effective and efficient (Figure 3). Safety is also a significant concern inconstruction projects, and the use of AI to mitigate these risks suggests that companies recognizeAI’s potential to enhance safety. The data indicates that employees predominantly use AI toboost efficiency, as reflected by the 43% of responses favoring this application. Figure 3. Company use of AI (n=16)Industry members who have not heavily invested in AI often struggle to envision its futurepotential
programsin construction to be the course content for industry professionals. As the general trend of theconstruction industry, safety is always seen as a vital component of a project’s success. Any toolthat improves this aspect is valued the most by industry professionals. The same was observed forAI tools for Schedule and resource management. These responses reflect the trends of thepreference for operations.The learning format and preferred duration also indicate a requirement for a properly structuredprogram design while allowing the learners to balance technical education with professionalobligations. The preference was predominantly seen for shorter courses of less than 4 hours andonline self-paced courses which shed light on the importance of
:59 352 126.17 403.91 403.91 12:00–15:59 271 126.17 165.9 165.9 16:00–19:59 83 126.17 14.77 14.77 20:00–23:59 0 126.17 126.21 126.21 Total 871.8 871.8Chi-square statistical test showed a value of 871.80 (Table 1) which is much greater than 11.07which is considered critical for the data. This indicates the existing differences are significant inas much as the obtained p-value of less than 0.00001 reflects the minute distribution likelihoodof such results as a version of chance variation. The data reveals that the highest number
construction and sustainability topics into CM and CE curriculaThe last question sought to identify effective teaching methods for educating CE and CMstudents on sustainability topics, including circular construction. The results are presented inFigure 5 using box plots, where the box spans from the first quartile (Q1) to the third quartile(Q3). The median is represented by a horizontal line, the mean is indicated by an “x”, and thewhiskers depict the minimum and maximum values. According to the study results, the mosteffective teaching methods for educating students are: (1) hands-on experience, reflecting a meanof 4.50; (2) on-the-job training, with a mean of 4.45; and (3) problem-based learning, yielding
stakeholders in the decision-making process using MOcan lead to better alignment of project goals, ensuring that the final outcomes reflect the interestsof all parties involved. This collaborative approach not only improves project outcomes but alsofosters a sense of ownership and commitment among stakeholders.Transformative Use of ML In CMThe transformative field within artificial intelligence, known as ML, enables systems to learnfrom data and improve autonomously. The growth of ML is driven by the availability of largedatasets and advancements in algorithms [18]. ML is increasingly being integrated into CM toenhance efficiency, accuracy, and data-driven decision-making processes. This integrationaddresses challenges of efficiency, schedule