through the principles ofUniversal Design, which benefit all users [83], [84].Gaps in the Literature and Future DirectionsSeveral gaps in the literature warrant attention. First, the lack of long-term studies assessing thesustained impact of these technologies is a significant gap. For example, some studies [24], [25]show initial promise of using technology but do not extend beyond short-term evaluations.Additionally, there is a need for more inclusive design practices that involve the target populationfrom the outset. The tendency of many studies (e.g., [26], [27]), to prioritize technologicalinnovation over user needs, leads to solutions that may not be fully aligned with the experiencesand preferences of the intended users.Future research
workforce. Our findings will also provide other researchers with aninitial assessment of emerging positions and how these positions complement traditionalconstruction roles to move the industry forward.Background LiteratureConstruction 4.0 can be considered the application of Industry 4.0 concepts to the constructionindustry. Previous research indicates Construction 4.0 to be a transformative framework [2,14]encompassing changes during production (namely increasing industrial production), theapplication of cyber-physical systems, and the wider spread of digital technologies. Therefore,Construction 4.0 is not a single, but a system of emerging and connected technologies andprocesses.Previous research has categorized these technologies and processes
how policies could be enacted, and the implementationcontext (for example, funding, professional development, etc.). This provided the background forparticipants to critically assess CS graduation policies from other states, consider theiradaptability to Massachusetts, and brainstorm innovative policy solutions. Through a mix ofverbal exchanges, written contributions, and collaborative virtual whiteboard activities,participants could express diverse viewpoints and respond dynamically to each other’s ideas.This interactive approach enabled the collection of rich, real-time data, capturing a broad rangeof perspectives essential for shaping a responsive and inclusive set of policy recommendations.Focus group protocols were developed drawing from
catalyze thinking and discussion. The team was alsointentional to identify moments of transformation, conflict, or alignment in ourcollective meaning-making process.5) Comparative Analysis of Sociotechnical Frameworks: In this step the teamcompared student-driven selection criteria with existing sociotechnical educationliterature (Bucciarelli, 2008; Riley, 2017). They also assessed whether traditionalengineering selection criteria (e.g., GPA, technical skills) were challenged or reinforcedin the participatory process. It was at this point where the CCRRKT (Care, Commitment,Respect, Responsibility, Knowledge, Trust) Approach was introduced to provide anemerging framework to support student decision-making.6) Iterative Refinement of the Process: In
. One group did note how public feedback influences research priorities on their actor map,a mechanism that was repeated across most of the other causal loop maps with variation in detail.Comments on Mapping Process and Overall ThemesA key process insight from assessing the problem dimension across the maps is that both theactor mapping and causal loop diagramming tools did not push participants to explain their ownassumptions or pause to consider/collect the information they did not have access to. To a degreethis makes sense; time constraints in the workshop did not leave much opportunity for secondaryresearch. Although most teams identified stakeholder expertise and knowledge, it was alsosurprising that only technical expertise was
Paper ID #48637Data-Driven Insights into Academic Success: Analyzing ten years of studentacademic records in an Electrical and Computer Engineering departmentMr. Weiyu Sun, Georgia Institute of Technology Weiyu Sun is pursuing doctoral degree of Electrical and Computer Engineering (ECE) at Georgia Institute of Technology since Fall 2024. He earned BE and ME degrees of ECE at Nanjing University in China. His research interests/fields include Trustworthy AI, AI4Education, AI4Science, bio-signal processing, and foundation model.Dr. Jacqueline Rohde, Georgia Institute of Technology Jacqueline (Jacki) Rohde is the Assessment
and Lopez’s four front model of assessment [38] which emphasize the role anenvironment plays in influencing a person’s behavior and well-being. While these frameworks canbe used to provide understanding and characterization of the relationship between a person andenvironment, Neufeld’s Model (Fig. 1) focuses on the process through which a person andenvironment interact and how that process promotes or hinders goal attainment. In general, theenvironment is defined as the people, procedures, and structures that comprise the environment aperson is navigating including implicit or informal procedures and structures. To characterize theengagement between a person and environment, this model uses a tripartite construct ofnegotiation, evaluation
climate anxiety through educational technologyand experiential learningDr. Gerald TembrevillaGerald Tembrevilla is an Assistant Professor in the Faculty of Education at Mount Saint VincentUniversity in Halifax, Canada. He teaches and conducts research on the integration of emerging,learning, and collaborative technologies to enhance hands-on science, experiential learning,scientific argumentation skills of K-12 students, preservice, and practicing teachers. He alsoinvestigates the complicated impacts of such technologies in the design, assessment, andimplementation on K-12 STEM curriculum, pedagogy, and institutional policies in thePhilippines and Canada.Mohosina Jabin TomaMohosina Jabin Toma is a PhD student in the Department of Curriculum and
enrolled in a small subset of courses. Indeed, uneven use of research-basedteaching across sections can introduce new inequities into learning and assessment opportunities.Similarly, efforts to increase the representation of women in academic STEM by supportingindividuals’ career development with grants or workshops may assist individual women scholars,but do little to address the entrenched structural and cultural barriers that women face in theacademy [9], [10].In response, many have turned to systemic approaches that directly address root causes of theissue and place the onus to change on the organizational unit—an institution, department, orcollege. For example, public and private funders have developed programs to support efforts totackle
paired with a single professional virtue to keep assessment rubrics focused. 2. Value → Lever. Design levers are phrased as implementable patterns (e.g., “stake- slashing contracts”). A subsequent design-proposition section elaborates these levers with definitions and a feasibility/impact matrix. 3. Citations. Core empirical or theoretical papers are cited with abbreviations to streamline the tables; full references appear in the bibliography.6 Discussion: Moving from PD Mechanics to AI Ethics andDeveloper ValuesSection 5 charted explicit lines from Prisoner’s-Dilemma variants to trust mechanisms,professional virtues, and design levers (Axelrod & Hamilton, 1981; Mayer et al., 1995). Wenow interpret those links through
facilitate faculty dialogue and inspire action.Later, the focus shifted toward action, culminating in sessions designed to translate theknowledge and reflections from the semester into tangible plans for positive change. Thesesessions were scheduled after a semester of weekly challenges and guided workshops, ensuringthat participants arrived with a shared framework, an understanding of key concepts, andpreliminary ideas for improvement. We used tools such as rubrics to assess current efforts andidentify areas for growth, and held a half-day retreat which included a visioning board exerciseto collaboratively imagine the future of engineering education. This scaffolded approach evolvedover time and provided a deliberate progression from individual
UniversityErin Keeney, Kennesaw State UniversityCoskun TekesDr. Tris Utschig, Kennesaw State University Dr. Utschig is Director for Scholarly Teaching in the Center for Excellence in Teaching and Learning (CETL) and Professor of Nuclear Engineering. Formerly, he was Assistant Director for CETL and the Office of Assessment at Georgia Tech, and Associate Professor of Engineering Physics at Lewis-Clark State College. He has extensive experience consulting with faculty about evidence-based approaches for teaching and learning and assessing their impact. He has over 100 peer-reviewed publications on teaching and learning and has facilitated or presented hundreds of times on this topic. He completed his PhD in Nuclear Engineering
the course development team, plus one other universityemployee were investigators in the study. The investigators used qualitative artifact analysis andquantitative data analysis.The course development process commenced with the creation of a prototype to assess thecapabilities of the generative AI tools to be used, and to determine the extent to which these toolscan be used to make the course development more efficient. Throughout the process theprofessor and the instructional designer revised their approach towards and the use of differentAI tools to achieve the desired results. While the output from AI was treated as 'raw materials'for the final products, cloned audio was the only product used throughout the project. Textgenerated by AI
-institutional partner-ships often leads to siloed educational advancements, limiting the broader impact of promisingtools like WebTA. This project aims to address this gap by fostering a partnership between Michi-gan Technological University and Hofstra University, creating a model for how institutions cancollaboratively improve programming education through shared resources, research, and innova-tion.Practicums and their importancePracticums are common in the science and medical fields. In general, the purpose of a practicumis to assess competency in a given area. For example, as an undergraduate, one may have beenrequired to take a “practicum (exam)” in a microbiology course to demonstrate knowledge andlaboratory skills. A practicum can be considered
ArkansasAbstractStudent retention and graduation rates are important indicators of student success and also serveas viable metrics in assessing the quality of a school. The Ralph E. Martin Department ofChemical Engineering at the University of Arkansas (U of A) has been monitoring undergraduateretention and graduation rates since 2007. The student cohort for the study is defined as thestudents entering the Introduction to Chemical Engineering class and includes students that hadcompleted the First-year Engineering Program (FEP), new freshmen that chose to take the classbecause they had satisfied the chemistry prerequisites for the course upon entering the university,students that had transferred from other departments at the university and students who
gotten to know some of their peers in prior coursework.Data collection and analysisThe primary data source for this study is responses to the Closeness and Safety Survey thatstudents completed at the end of the semester (refer to Appendix B for full survey). The surveyincluded items measuring team safety and closeness drawn from previously developed surveys[8], [22], [23], [24]. 17 of 20 students (85%) enrolled in the CS course and 17 of 32 students(53%) enrolled in the ECE course completed the survey. As with most any research method,missing data is a documented and understood issue in SNA. As a result, several approaches andnorms have been developed to handle missing responses. A first assessment of missingness inSNA evaluates whether the full
things courses. Thismodule will be assessed using a pre-and-post survey of students understanding sustainableproduction processes, and their perceptions of how a digital twin can be used to optimize aproduction operation for sustainability. Moreover, the end term course evaluation also showsimprovements in course ranking.IntroductionAfter years of devastating wars, environmental degradation, and pollution, member states of theUnited Nations (UN) reached a historic agreement in 2015 to create a safe and sustainableenvironment for humanity and other life forms. This agreement resulted in the introduction ofseventeen Sustainable Development Goals (SDGs), with targets set to be achieved by 2030 [1].Among these, sustainable manufacturing stands as
systems,[7,8] thermalfluids engineering,[9] renewable energy technologies,[10] and molecular engineering.[11]Assessment of VR-based learning tools in the classroom indicates enhanced student interestlevels, improved performance on examinations, [7] and beneficial effects on students' perceptionsof the learning experience.[12] VR technology is gaining momentum in chemical engineering education, as it canprovide access to simulated learning environments that would be too expensive, too dangerous,or otherwise impractical to implement on campus. Recent advances in VR software andhardware are creating new possibilities for pedagogical innovations that could transformengineering education by bridging the gap between classroom teaching and hands
often assume that most incomingfirst-year engineering students have minimal or no experience with engineering topics. However,the increasing availability of accessible programming languages, CAD software, andextracurricular initiatives suggests shifts in this landscape. Unlike AP Computer Science, whichprovides a structured national framework for programming education, engineering-relatedcourses lack similar widespread adoption mechanisms, leading to inconsistent offerings acrossschools. Given that no comprehensive update to Carr et al. focused on implementation andavailability is currently available, this study seeks to begin filling that gap by pursuing a currentsnapshot of pre-college engineering exposure by assessing the experiences of
100 data frames, with specific data sets processed sequentially.The training data were divided into X_train, X_text, y_train, and y_test,while the testing data covered training sizes ranging from 10 to 100 datapoints (see Eq. 1). A linear regression model was employed to predict loadflow data by isolating sequential data frame proportions within the rangesof 10, 20, 40, 60, 80, and 100 frames (see Fig. A).Eq.1The initial setup of the mitigation retracking simulation model wasevaluated using the mean squared error (MSE) metric, and its timeefficiency was assessed by analyzing prediction latency. First, profile datawere concatenated along two axes, the x- and y-axes, incorporatinggenerator power and line reactive power parameters (sgen_p
concerning ozone pollution. According to the American LungAssociation's 2024 "State of the Air" report [18], the city ranks 14th worst in the nation for ozonepollution, earning an "F" grade in this category that year and every year since 2000 when theorganization released its first report. The city performs moderately well in terms of particlepollution, typically seeing Air Quality Index (AQI) of 25 to 120 (‘good’ to ‘moderate’),however, the summer months tend to be higher and the city experiences levels of ‘unhealthy’ airquality (AQI > 130) during this time of the year.3.2 MeasuresStudents who participated in the IRB-approved study, with parental consent, were assessed usingpre- and post-surveys to evaluate changes in their understanding and
Cycles 9 Ideal Gas Mixtures 10, 11 Psychrometrics 12, 13, 14 Combustion 15 Chemical Equilibrium, Project PresentationsWhile the department maps this course as helping to fulfill several ABET student outcomes,14(student outcomes (1), (2), (3), (4), and (5)), the course is only marginally used in the formalassessment of how well the program fulfills these outcomes. This is because the department haschosen to focus most of its assessment activities on required courses taken by all the students inthe program. As an elective course, MechEng 402 would not provide a representative measureof the achievement of
also highlights gaps in currentresearch and provides recommendations for universities to enhance mental health supportservices for international graduate engineering students.Keywords: international graduate students, mental health, stressors, coping strategies,engineering, construction engineering and managementIntroductionThe mental health of international students in the U.S. has emerged as a critical concern, as thesestudents often face unique stressors that can lead to severe psychological distress. According tothe American College Health Association’s National College Health Assessment (ACHA-NCHA), international students experience challenges such as cultural adjustment, financialconstraints, and social isolation, which contribute to
attainment of thesecertificates as part of their coursework. The tests provide a good benchmark for a basic skillsetwith CAD proficiency [18], and the skills required to receive the certification are directly basedon proper use of appropriate functions of the program to build component models in CADprograms. Many instructors may see, therefore, that they provide a fitting assessment of studentskills, while also offering additional benefits in the students’ formation as engineers and in jobsearches. However, few studies to date have directly examined the effects of these certificates onstudent motivation towards CAD work. They may indeed provide extra incentive to drive studentengagement, or they may present as an externally imposed motivation, and
critiques, often informally, as they work on projects [7].Architecture students also benefit from interdisciplinary work, such as overcoming noted troublewith creating realistic designs [8].There are a few documented attempts at interdisciplinary courses that involve architecture andstructural engineering students [9-14]. Interdisciplinary education in engineering and architectureis not without its challenges, both in terms of implementation and assessing effectiveness andwhether the results of one integrated experience would be transferable to another [15, 16]. Theseresearchers often used surveys and examples of students’ work to show how course structuresupports the courses’ pedagogical effectiveness. These courses often include co-teaching
employing graduateassistants shall develop procedures to: 8 1. Provide appropriate training to support and enhance these assistants' teaching effectiveness; 2. Conduct regular assessments of and annually evaluate, based on written procedures and including results of student and faculty evaluations, of each assistant's teaching effectiveness and performance; and, 3. Assess competency in English and, if needed, provide training in English language proficiency.Pressing ChallengesCommon challenges for TA trainers were: lack of higher level support, lack of participation fromfaculty, and the difficulty of
increase the number of people with the appropriate qualifications, such asthe MINT Forum (MINT is an acronym for Mathematics, Informatics, Natural Sciences andTechnology. It is the German equivalent to STEM) announces Heine [4]. At the beginning a largenumber of student labs, student research centers (according to Haupt et al. [6] and Haupt [7]) andmakerspaces were quickly established in Germany as Pfenning [2] declares; model projects werelaunched, evaluated and disseminated. In the wake of the so-called PISA shock (PISA is anacronym for Program for International Student Assessment, initiated by the OECD), realizationthat the quality of STEM education in Germany was not up to international standards also playeda role (according to Prenzel et al
shown here for illustrative purposes, but theinstructor can provide more cycles in the assignment at their discretion) are constructed such thatthey exchange heat with only two isothermal energy reservoirs 𝑅𝑅𝐻𝐻 and 𝑅𝑅𝐿𝐿 at temperatures 𝑇𝑇𝐻𝐻 >𝑇𝑇𝐿𝐿 , and 𝑇𝑇𝐿𝐿 , respectively, as required by the Clausius statement. Furthermore, the system is takento be 1 kg of an ideal gas operating in a piston-cylinder assembly.Analyze each cycle process-by-process to determine if (a) the cycle is even possible or not.(NOTE: If even a single process is not possible, the cycle will be impossible to design/construct.)(b) If all processes are possible, then the cycle is possible, and your next step is to assess whetherthe cycle violates the
oncethe pedagogical needs have been identified. Clear and achievable objectives must be establishedfor the training program; these goals should be concrete, calculable, attainable, and important [5].The curriculum will also have to be designed, which includes the selection and sequencing of thestudy material, the definition of teaching techniques, and the assessment of this platform. Likewise,the implementation of the curricular program will have to be carried out because, once traced andsuitable, we can proceed to the realization of it in the classrooms. During this phase, it is imperativeto continuously monitor and evaluate the progress of students, as well as to compile feedback fromeducational staff and students to make adjustments if
, S. F., Rueda, B., Mata-Villarreal, J., & Mundy, M.-A. (2011). Assessing Mental Health Needs of Rural Schools in South Texas: Counselors’ Perspectives. Research in Higher Education Journal, 14, 1–11. ERIC.Balakrishnan, B., Krishnan Muthaiah, V. P., Peters-Brinkerhoff, C., & Ganesan, M. (2023). Stress, anxiety, and depression in professional graduate students during COVID 19 pandemic. Educational and Developmental Psychologist, 40(2), 201–213. Scopus. https://doi.org/10.1080/20590776.2022.2114341Baldwin, J. A., Williamson, H. J., Eaves, E. R., Levin, B. L., Burton, D. L., & Massey, O. T. (2017). Broadening measures of success: Results of a