. ©American Society for Engineering Education, 2024 A Comparison of Civil Engineering Curriculums and EAC-ABET Civil Engineering Program CriteriaAbstractAccredited civil engineering programs use a variety of methods to meet the EAC-ABET GeneralCriteria and the Civil Engineering Program Criteria (CEPC). Since the authors conducted aprogram study in 2018, three external changes have affected civil engineering programs [1]. Thisincludes an updated version of the ASCE Body of Knowledge (BOK3), changes to the NCEESFundamentals of Engineering (FE) Civil Engineering exam, and changes to the CEPC that willbecome effective during the 2024-2025 ABET accreditation cycle. Data for this study weregathered during the 2023-2024 academic
. The research process comprises three key phases: (1)Before pilot study: Introducing the project and guidelines and conducting a pre-summativeassessment of students' prior construction skills. (2) Pilot study: Students embark on theconstruction phase, facing various challenges such as constructing their houses within specifiedparameters, including size, limited pieces, design requirements, and adhering to LEGO's setcolor guidelines for the design. (3) After pilot study: This final phase uses a post-summativeassessment that evaluates the improvement in students' construction skills. The resultsdemonstrate that well-designed LEGO tasks can enhance students' skills by improvingcommunication, leadership, analytical, and decision-making skills
. Coupled with the U.S. semiconductor manufacturing market sharedropping significantly over the past two decades [1], the U.S. government has passed the CHIPSand Science Act [2], dedicating $52.7 billion to U.S. semiconductor research, manufacturing,development, and workforce development. Included in the $52.7 billion allocated in the CHIPSand Science Act is $13.2 billion dedicated toward research and development and workforcedevelopment in universities across the nation [2]. Although many students have valuabletechnical skills and experiences when approaching employers looking for employmentopportunities [3], many students still struggle to properly communicate and relate their skills andexperiences to real-world experiences when meeting with
indicate that althoughfirst-year international students rarely considered leaving their programs, nor reflected that theirstress related to school or life was overwhelming, their data show decreasing trends in the areas ofsatisfaction with advisor relationships, support networks, cost, goals, and quality of life and work.Together, these results imply that students’ acclimation process to graduate school in the U.S. isperhaps not happening innately. Further, our findings suggest future research should explore thevariations between international students from different countries as they have different culturalbackgrounds that may contribute to or influence their experiences.Introduction, Literature Review, and Theoretical FramingIn 2022, 197,183 F-1
cost and timeconstraints of laboratory courses, many faculty members have moved to a mobile studiopedagogy where the students are equipped with relatively low-cost laboratory equipment thatallows them to perform experiments and measurements outside the laboratory. This approach hasbeen implemented in a variety of individual courses, including introductory first-year courses[1], electronics [2], digital design [3], and communication systems [4], [5], [6]. Some authorshave reported on the use of mobile studio pedagogy in multiple courses [7], [8], and someschools have implemented the technique throughout the electrical engineering curriculum [9],[10], [11]. A helpful discussion of the advantages and disadvantages of various logistic options
enactment of liberatory pedagogy is discussed through the perspectives of JEDIalumni.2. Literature ReviewThis section includes a review of literature focused efforts that seek to improve the experiencesof marginalized undergraduate engineering students or support them in creating change in theirlocal university or community context.2.1. Student Support ProgramsPrevious scholarship indicates that interventions offered by diversity engineering programs(DEPs) and minority engineering programs (MEPs) can improve marginalized students’undergraduate experience [1]. In particular, both faculty and peer mentorship programs forhistorically oppressed students have been identified as powerful support mechanisms inundergraduate engineering education [2
D3 women’s swim team. ©American Society for Engineering Education, 2024 Enhancing Efficiency and Quality in Oil Pipeline Flushing: A Novel Laboratory-Scale Pilot Plant Study1. IntroductionDid you ever wonder how all those bottles of oil on the store shelf are filled? Did you ever thinkthat many were filled at one facility through identical lines? As a result, the same set of pipes andpipelines are used. Because of this, flushing is a crucial process used to remove residues ofprevious products from the line to prevent contamination when a switch from one oil to anotheroil is made [1]. In multiproduct pipeline systems, the process of flushing gains paramountimportance, especially
and teaching methods.The paper presents the degree curriculum, integrated technology used, skill set taught to students,examples of project-based courses, external student training, and the future outlook and challengesfor the program. This paper will provide clear pathways for establishing similar programs atengineering schools worldwide.IntroductionSTEM (Science, Technology, Engineering, and Mathematics) education will play a vital role inshaping the future of technology development [1]. In an increasingly complex and technologicallydriven world, implementing STEM skills in K-12 education is crucial for fostering innovation,critical thinking, analytical, and problem-solving skills. In addition to early preparation of studentsfor a wide
only enhance problem-solving skills but also fosterinnovation and creativity in finding solutions to complex engineering problems. Engineers rarelywork in isolation in the professional environment. They are frequently part of multidisciplinaryteams where collaboration is vital for problem solving and project completion. In addition totechnical expertise, engineering demands strong interpersonal, leadership, and conflict-resolutionabilities. In the classroom, teamwork fosters the development of technical as well as soft skillsthat are essential for success in the workplace [1], [2]. Teamwork also exposes college studentsto diverse viewpoints and concepts, fostering creativity and ingenuity [3], [4]. It helps studentsappreciate the variety of
educator since 2008, and curently works in the College of Engineering and Engineering Education department at the University of Tehran.Hannah Budinoff, The University of Arizona Hannah Budinoff is an Assistant Professor of Systems and Industrial Engineering at the University of Arizona. Her research interests include additive manufacturing, geometric manufacturability analysis, design for manufacturing, and engineering education.Philipp Gutruf, The University of ArizonaDr. K. ”Larry” Larry Head, The University of Arizona ©American Society for Engineering Education, 2024 A pathway to create and validate an engineering design rubric across all engineering programs 1
engineering students feel underprepared when going into the workforce, due to a lack ofreal-world application of the college curriculum and the lack of necessary skills to confidentlymake engineering and business decisions [1-3]. Consequently, the transition between college andone’s first job can be difficult for many graduates [4]. This causes many to seek jobs outside ofthe engineering profession altogether; according to one study, only one-third of engineeringgraduates seek jobs in an engineering field [5]. Furthermore, a study by the Carnegie Foundationfound that engineering schools primarily focus on the acquisition of technical knowledge, leavinglittle attention to real-world application or preparing for employment [6].To combat this issue, the
. AR's interactive, immersive,and engaging features could transform learning experiences, particularly for female studentsdrawn by these features. The problem motivating this paper is that females make up only 34% ofthe workforce in Science, Technology, Engineering, and Math (STEM). Therefore, as part of thisresearch, Augmented Reality was introduced to female Hispanic high school students with theobjective of 1- Identifying students' familiarity with AR, 2- Identifying students' initialimpression, 3- Capturing the challenges encountered while using AR, 4- Capturing participants'interest for AR use for an extended period, and 5- Assessing potentials of AR to enhancelearning and education among female students. A pre-experimental research design
perceptions of the ethicaldimensions of using LLMs, the individual results of each survey were not linked. The pilot studywill lead to a more comprehensive study of student attitudes and use of LLMs.IntroductionIdeas about artificial intelligence (AI) have moved from theory to reality over the last century.Some credit science fiction author Isaac Asimov [1] with establishing the discipline via the ThreeLaws of Robotics in his 1942 short story “Runaround.” Others consider the birth of AI to be at a1956 conference at Dartmouth College [2]. Since then, AI development has surged off and on.The recent public release of free large language models (LLMs) such as ChatGPT hasaccelerated both dialogue about AI and use of it for a wide variety of tasks. Even
incorporating a diverse range of institutions, thestudy captures a broader spectrum of experiences and contexts, which enhances thegeneralizability of the results.Keywords: Calculus I, engineering education, student persistence, multilevel analysis, diversity,higher education.IntroductionExamining retention enables institutions to identify various factors that influence studentpersistence, such as understanding why some high-performing students choose not to return tothe university [1]. Student departure, as highlighted by researchers like Aljohani [2],significantly affects educational success indicators; however, institutions have struggled toeffectively address this challenge.The retention rate of an institution plays a pivotal role in influencing
that is engaging, interactive, and fun. This approachwas also compared with a research-centric group project that delved into establishing secure meth-ods for cyber-physical systems. The study indicates that a majority of students (77.4%) viewed theCapture the Flag Scavenger Hunt as a highly valuable learning experience.1 IntroductionStudying computer security is crucial in today’s interconnected digital landscape to safeguard sen-sitive information, preserve privacy, and ensure the reliable functioning of computer systems 1 . Anundergraduate (UG) course in computer security typically includes topics such as network security,operating system security, cryptography, software security 2 . Cryptography, a fundamental pillar
Literature ReviewCourse scheduling (also known as timetabling) is a multi-parameter combinatorial optimizationproblem with multiple constraints. The created schedule must take into consideration manyparameters and constraints including teacher expertise and preferences, student need for classes,best (non-conflicting) times for both teachers and students, and (for in-person courses) theavailability of a suitable classroom with adequate teaching equipment. The overall problem is anNP-hard problem [1] that has been extensively studied over the years. A wide variety of solutionshave been suggested. For example, [2] used genetic algorithms to solve the problem while [3] usedsimulated annealing. Similarly, [4] used the Particle Swarm Optimization (PSO
evaluation, andfocused on ABET, how these projects can be used to evaluate students' outcomes.Keywords: Project Based Learning, Integrative project, multidisciplinary project,control, instrumentation and simulator.INTRODUCTION The integration of Instrumentation, Microcontrollers and Control Systems Idisciplines in this technical project represents a significant milestone in theinterdisciplinary approach to engineering, allowing a practical and complete applicationof the concepts learned throughout the course. A. Ribas Neto, M. Fiorin, and T.Dequigiovani [1] highlight the value of project-based learning in technology degreeprograms to deepen students' understanding and skills in the field. In this report, thedevelopment of an interactive
conflict to besymmetrical across all students involved (i.e. all students perceive the conflict in the same way),which recent work indicates may not be the case [1]. This work aims to better understand thecomplex processes involved in the perception and management of conflict in student projectteams by investigating the (a)symmetrical nature of conflict within student teams and what theimplications of this (a)symmetry are on conflict management outcomes. This work will answerthe research questions: (1) How do students’ perceptions of conflict experiences converge anddiverge from their team members? And (2) What are the consequences of this (mis)alignment forconflict management outcomes? This work employs multiple perspectives research (MPR) togain
. Students document their work through four writtenreports and eight oral presentations (i.e., design reviews and test readiness reviews). The pace isbrisk. The workload is substantial. And, while each team member has a distinct technical role, allwork is completed collaboratively. For many students, teamwork is the most challenging elementof the project, as documented by Haslam and Beck [1].An important step in supporting effective teamwork is the use of best practices in teamformation. The literature suggests many factors to consider when forming student teams. Thesefactors include ethnicity, culture, and gender [2], [3], personality [4], [5], schedule [3], academicperformance [6], engineering maturity (i.e., previous experience in a professional
design and manufacturing. Chijhi is a teaching assistant in the College of Engineering Education, instructing the Transforming Ideas to Innovation I & II courses, which introduce first-year students to the engineering profession using multidisciplinary, societally relevant content.Dr. Robert P. Loweth, Purdue University Robert P. Loweth (he/him) is a Visiting Assistant Professor in the School of Engineering Education at Purdue University. His research explores how engineering students and practitioners engage stakeholders in their engineering projects, reflect on their social identities, and consider the broader societal contexts of their engineering work. The goals of his research are 1) to develop tools and
engineering careers and curriculum is well-known. ABET lists“an ability to function effectively on a team whose members together provide leadership, create acollaborative and inclusive environment, establish goals, plan tasks, and meet objectives” as astudent outcome in its outcomes-based assessment of engineering curricula [1]. Early careerengineers often describe effective teamwork and interpersonal skills as the most importantcompetencies in their jobs [2, 3]. The formation of teams can significantly affect how well a teamworks together, and team formation and function have been studied in engineering curriculum fordecades [4–6]. Previous research has shown that teams are more effective when instructors createthe teams considering students
granularity demonstrates high levels of abstractionin the initial flowchart design, which may point to under-designing by participants and/or lowerlevels of metacognition. Comparatively, having high cohesion and granularity may point to over-designing by the participant and often stems from a one-to-one mapping of flowchart nodes tolines of code. Our results point toward a logical relationship between Design Cohesion andstudents’ level of self-estimated skill, and we are confident that Design Cohesion will serve asviable metric for understanding introductory programming metacognition.1. IntroductionThis paper presents our initial characterization of Design Cohesion and Granularity Level andour case study approach to the qualitative exploratory coding
the classroom more interactive. This helps studentssee right away if they're doing things right or wrong so they can fix mistakes as they go.In the early 1900s, a researcher named Jean Piaget found that kids understand things better whenthey do hands-on activities instead of just hearing facts [1]. And other experts like Meyers andJones agree that learning is more effective when students are actively involved, like reading,writing, talking, solving problems, or answering questions in a thoughtful way [2].Also, many studies have shown that technology and hands-on activities can help studentsunderstand how theory connects to real-life situations in engineering projects. This kind oflearning, called experimental-centric-based instructional
user experience survey. The survey results gave some constructivefeedback for the developers. Overall, the project can deliver a feasible solution for courseinstructors to handle many student project teams. In the future, a generative AI feature -CHATME will also be available on the front end to help the user check the status of each studentgroup, which is built using NLTK and TensorFlow. Moreover, if a team issue arises, theplatform will alert the users, and provide constructive suggestions on how to improve the groupperformance.IntroductionIn engineering education, fostering collaborative skills [1] among students is crucial, and team-based learning has become the primary approach. It is an approach particularly prevalent infoundational
iterations.Comparisons with previous courses highlighted the impact of the methodology on increasingtechnical perspectives and detailed solutions. The study exemplifies a successful pedagogicalpractice, emphasizing the importance of starting with known technologies through scientificarticles and leveraging iterative processes to enhance learning experiences.IntroductionIn the field of biomedical engineering design, as in other branches of engineering, there is anongoing discourse about cultivating design skills to train engineers to solve real-world problems[1][2]. These skills can be developed not only through knowledge imparted in academicinstitutions but also through universal insights obtainable from sources such as scientific papers.Essentially, design
dropoutrates and improving student success.Keywords: AI, data mining, dropout, engineering, first-year students, higher educationIntroductionOver the years, many studies have been conducted to understand why students leave theirstudies in Science, Technology, Engineering, and Mathematics (STEM) disciplinesprematurely. Research has delved into sociocognitive factors that play a critical role in studentpersistence in university. For instance, sense of belonging [1, 2], self-efficacy [3, 4], identity[5, 6], and intrinsic motivation [7], which are vital to student persistence in university. Forinstance, Andrews et al. [8] researched how the incorporation of makerspaces impactsstudents' self-efficacy and sense of belonging concerning design, engineering
developing a system by which a machine can recognize thosefeatures. Eleven experienced college algebra graders of a large state university were asked tograde graphs of linear equations generated by students in their classes, and interviewed to clarifywhat features of the graphs were important to them in grading. When grading each graph on ascale of 10 points, the graders generally agreed on the relative worth of particular features: acorrect slope was worth 4 points, y-intercept was worth 4 points, labeling is worth 1 point. Afterthat, and everything else was a matter of 1 point. Furthermore, the graders judged slope andintercept from two points (the y-intercept and the first point to the right). Returning to thestudents’ work, the researchers saw
proceed without satisfying thedesired learning objectives.One potential method to ensure equal work distribution in group programming assignments is tohave each team member work on individual source control branches, having them know that thecourse staff will verify their individual contributions during evaluation.Given the benefits of collaborative work and the need to assess individual contributions, in thispaper, we focus on answering the following research questions: 1. RQ1(a): Do students in an introductory software engineering course, working in pairs, distribute work equally? RQ1(b): Can we use measurements based on git logs to assess each team member’s work contribution? How is this measurement correlated with the amount
abstraction is readily understandable meaning conversations between instructors regarding the curriculum can occur within a department and even across institutions. This abstraction is explained with a simplified curriculum and applied to the undergraduate chemical en- gineering curriculum of a subject university. Highly and lowly connected topics are identified and approaches for grouping the topics into modules are discussed.Keywords: Modeling; Curriculum; Graph Theory; Modularity* Corresponding Author: brlopez@wisc.edu 1 http://zavalab.engr.wisc.edu1 IntroductionThe early days of chemical engineering focused on
The introduction of Team-based learning (TBL) in the 1980s marked a significant shift inaddressing the challenges of large class settings in educational environments [1], [2]. Originally abusiness school innovation, TBL has now permeated various disciplines including engineering,medicine, and social sciences globally. Some courses, such as first-year engineering, maycombine TBL with project-based learning (PBL) to introduce students to common engineeringthemes such as design, sustainability, and ethics. Despite its wide-ranging benefits, TBL'seffectiveness can be inequitable for a variety of reasons, including free riders, imbalances in taskallocation, and more broad communication issues [3], [4]. Thus, the application of teamworkassessment