from University of Washington,students are required to enroll in a sequence of two Unit Operations laboratory courses (ChemE436 and 437). Only the second course (ChemE 437) was modified in this project. The first course(ChemE 436) offers conceptually independent experiments in transport phenomena with specificfocus on fluid flow and heat transfer. Therefore, the first course in the sequence serves as a goodbasis for assessment of the effectiveness of the new structure. The second laboratory (ChemE437) offers experiments involving unit operations focusing specifically on mass transport andchemical reactions. This is the only laboratory course that has been modified to have the “full-plant” structure. In both courses, students work in groups of
purposes and had no real value.This lecture should have been given early the first semester.In addition, in the rush to redesign and implement the new class, adequate supporting materialsand examples were often unavailable on a timely basis to the students. Lecture handouts wereoften being completed just-in-time for lecture, and examples of finished work were not available.Finally, the rush to produce the class did not allow the faculty sufficient time to incorporateinternal assessments into the course with which to obtain early evaluations of our own progresstowards the course goals we had laid out. While several approaches were used, including formalsurveys, focus groups and individual informal interviews, the course faculty were rarely able
various perspectives and an ability to evaluate multiple disciplinary approaches to problem-solving. Interdisciplinarity also includes an ability to recognize the strengths or weaknesses of one‟s own disciplinary perspective, but also recognize the shared assumptions, skills or knowledge among disciplines.”20The research design and methods of this study were influenced by specific qualities ofinterdisciplinary understanding at the collegiate level21-22. Boix Mansilla and Duraisingh (2007;2009) worked to determine a comprehensive definition of what constitutes a student‟sinterdisciplinary understanding based upon faculty assessment of student interdisciplinaryresearch. The study focused on four well-recognized
AC 2011-1796: NAVY METROLOGY ENGINEERING CENTER STEM OUT-REACH THROUGH THE STEP PROGRAM: CHALLENGES, LESSONSLEARNED AND APPLICATION TO DOD STRATEGYDouglas Sugg, Navy -NSWC Corona CA Doug Sugg is the Department Head of Product Engineering Assessement at the Corona Division of the Naval Surface Warfare Center.John V Fishell,JD, John Victor Fishell, President, Science and Technology Education Partnership (STEP) John V. Fishell retired from his position as Technical Director of NSWC, Corona Division, Corona, CA in 2008 after 36 years of service. He holds a Juris Doctorate in Law from California Southern Law School and a BSEE from the University of Texas, El Paso along with two Certficates in Management from the
andstudied by students during the course of learning and instruction. Work on assessing theenacted curriculum was done to create a dependent variable for use in research onteachers‘ content decisions11. In contrast to the intended curriculum, which depicts theidealized classroom experience, as stated in the printed teacher and student textbooks, theenacted curriculum is empirically established. Observations show that the enactedcurriculum is dynamic – it often deviates from the intended plan and varies from teacherto teacher and classroom to classroom based not only on the teacher‘s actions, but also onthe student needs. Students generally learn what is presented in the classroom and maymiss elements that were intended to be incorporated by the
), the students were asked toreflect on their learning process, the quality of their contributions to the various assignments, thevalue gained with respect to attaining their individual learning objectives and competencies aswell as the value added to the overall ME6102 Learning Organization. Finally, based upon thisself-reflection, the students were asked to propose a grading scheme for evaluating their ownwork as well as that of their peers. This included developing a comprehensive assessment rubric[34] showing the categories of work to be assessed along with justifications for the variousdegrees of achievement, as well as the articulation of the specific grades they believed they hadearned.5. Educational frame of referenceIn the following
AC 2010-745: A QUALITATIVE EXAMINATION OF FACULTY BELIEFSRELATED TO ENTREPRENEURSHIP EDUCATIONKirsten Hochstedt, Pennsylvania State University Kirsten Hochstedt is a Graduate Assistant at the Leonhard Center for the Enhancement of Engineering Education. She has received her Masters degree in Educational Psychology, with an emphasis in educational and psychological measurement, at Penn State and is a doctoral candidate in the same program. The primary focus of her research concerns assessing the response structure of test scores using item response theory methodology.Sarah Zappe, Pennsylvania State University Sarah E. Zappe, is Research Associate and Director of Assessment and Instructional
solving problems problem statement11. Quality Control The measure of a Apply or review qualityand Quality project’s quality is control and/or qualityAssurance how well the results assurance procedures on a conform to all project component requirements12. Risk, Risk, reliability, Apply concepts of risk,Reliability, and and/or uncertainty reliability, and/orUncertainty assessment are uncertainty as an integral essential in part of engineering design engineering practice and decision making13. Safety In manufacturing
Cumulative Cumulative Cumulative GPA GPA GPA Funded scholars 3.44 (n=25) 3.01 (n=11) NA Unfunded scholars 3.27 (n=5) 2.51 (n=4) 2.24 (n=14)There were 11 S-STEM scholars who graduated during the 2012-2013 academic year, eight ofthe scholars had accepted engineering positions prior to graduation and the remaining three wereactively seeking employment in engineering and/or considering engineering graduate school.Assessments and OutcomesThe S-STEM program was primarily assessed using student academic performance and programelements surveys completed by students at the end of the each semester
Paper ID #9569Social Responsibility Attitudes of First Year Engineering Students and theImpact of CoursesDr. Angela R Bielefeldt, University of Colorado, Boulder Angela Bielefeldt, Ph.D., P.E., is a Professor in the Department of Civil, Environmental, & Architec- tural Engineering at the University of Colorado Boulder. She has been on the faculty since 1996. She serves as the ABET Assessment Coordinator for the Department. Professor Bielefeldt teaches introduc- tory courses for first year engineering students, senior capstone design, and environmental engineering specialty courses. She conducts engineering education
-quirements tracing, where traceability is defined as the “ability to describe and follow the lifeof a requirement, in both a forwards and backwards direction”. The traceability informationnot only facilitates the identification of the code in response to a change request, but also sup-ports many Software Engineering activities, such as risk assessment, regression test selection,and so on.11As in many Software Engineering activities, automated tools have been developed to supportthe establishment and management of the traceability information. Although modern toolsemploy information retrieval (IR) techniques to automatically generate candidate traceabilitylinks between software artifacts, the links must be certified by the software engineer to ensure
manager and senior con- sultant. He has taught and developed undergraduate and graduate courses in electronics, power systems, control and power electronics, electric machines, instrumentation, radar and remote sensing, numerical methods and data analysis, space and atmosphere physics, and physics. His research interests included power system stability, control and protection, renewable energy system analysis, assessment and design, power electronics and electric machines for wind energy conversion, radar and remote sensing, wave and turbulence simulation, measurement and modeling, numerical modeling, electromagnetic compatibility and engineering education. During his career Dr. Belu published several papers in
which a problem is embeddedSolution Evaluation Test and evaluate potential solutionsStakeholders Engage with or account for stakeholders’ needs and perspectivesTangible Artifacts Building Build tangible artifacts as models, prototypes, or working productsTeamwork and Collaboration Engage in teamwork or collaborate towards a common goalTechnical Communication Prepare technical communication, including written reports and figures to represent workTechnical Details Account for, develop, or refine the concrete details of (potential) solutionsTroubleshooting Engage in troubleshooting to systematically identify or assess potential issuesData AnalysisThe
desired learning outcomes without compromising student self-value. In the hybrid (a combination of remoteand traditional lab components) lab, hands-on experiments were performed with half capacity. Face-to-face students worked with theirremote partners using technologies such as Microsoft Teams, Zoom, PTZ cameras, and augmented reality. In the remote lab, hands-onexperiments were replaced with various types of virtual tours of the equipment, a detailed description and illustration of its operation, andanalysis of real data (previously collected). The value of these approaches is being assessed based on learning outcomes. Best practicesfrom this experience can be seen as a great incentive to further develop hybrid teaching approaches in
to contributemeaningfully to a dynamic and interconnected world [10].Closely related, futures studies as an academic field moves beyond conventional planning toolslike forecasting and risk assessment. It embraces uncertainty and explores multiple plausiblefutures to spark imagination and address complex challenges [13, 14]. As James Dator famouslystated, “The future cannot be predicted because the future does not exist” [15].In engineering education, the use of futures literacy has primarily focused on planning and riskmanagement. While these approaches are valuable, they tend to constrain the broader,exploratory potential of futures thinking. Relying on past data and predictive accuracy canoverlook transformative shifts and obscure less
-Week Course Flow. Intro to Hacking Competitions is split into 4 stages, each focusing on a different stage of skilldevelopment. Through completion and mastery of each stage of the course, students progress further towards autonomy,eventually reaching the final stage of the course where they have the capability to start exploring and mastering cybersecuritytopics / challenges on their own.Introduction to Hacking Competition’s course design can be broken down into four stages ofskill complexity. For the first half of the quarter, students complete the first two stages, 1)Foundations of Hacking and 2) Hands-On Fundamentals, culminating in a midterm to assess andcement knowledge in these foundational topics and ensure that learners are prepared to
pursuing roles in business analysis, IT management, orconsulting.IMPLEMENTATION AND EVALUATION OF AI-FOCUSED COURSESTo ensure success and long-term effectiveness of the proposed AI-focused curricula, it is criticalto establish a comprehensive framework for both implementation and evaluation. As part of thisprocess, pilot versions of the new AI concentration courses should be launched with an initialcohort of students. The effectiveness of these courses can be evaluated using a combination ofdirect and indirect measures. Direct measures might include assessments of student performanceon capstone projects, course-specific evaluations, and skill-based assessments. Indirect measurescould involve student self-assessments, alumni surveys, employer
Students (DRS) services to receive course accommodations. This datawas collected for program evaluation and was determined to be “not research” by the UWHuman Subjects Division (HSD).Table 1. Survey to assess student usage of lecture recordings and impact on attendance.Note that any question with an asterisk (*) was added to the survey after the original posting timeand does not have responses from all survey participants. Question Response Option/Type What is your class standing in Chemical ● Sophomore Engineering? ● Junior ● Senior ● Graduate student (M.S. or Ph.D
) evaluated ten techniques demonstrated to improve efforts on studentlearning. Of those, practice testing and spaced practice rated as “high utility” indicating thatpositive evidence has been consistently found [2].Practice testing (retrieval practice) is a low-stakes or no-stakes practice or learning activity thatrequires the learner to retrieve previously learned information. It can be student or instructor ledand is separate from summative assessments administered by the instructor [1], [3]. Benefitsfrom practice testing are well established and retrieving information from memory duringpractice improves long-term retention more than restudying information [4]. In 2008, Karpickeand Roediger found that after initial learning on foreign language
student time, and achievement of desiredlearning outcomes, particularly in online environments [15]. Designing effective onlinelaboratories necessitates a holistic approach that considers technical aspects, pedagogicaldimensions, and social elements of the learning experience, "it is imperative to situate onlinelaboratories within the broader learning ecosystem, encompassing learning goals, student activitydesign, assessment methods, and the facilitation of social presence and interactions mediatedthrough digital tools” [5]. While online hands-on environments present challenges, techniquesexist to maintain PBL’s benefits through strategies such as virtual and augmented realitytechnologies, simulation tools, remote access to physical equipment
, contributing to innovative studies in the field of civil infrastructure. His primary research area focuses on sustainable design for pavement systems, aiming to develop environmentally responsible, durable, and cost-effective solutions for modern transportation networks. Samuel’s work explores the integration of green materials, lifecycle assessment, and resilient engineering practices in pavement design. Through his research, he seeks to address key challenges in infrastructure sustainability while promoting long-term resilience in the face of climate change and increasing urban demandsTolulope Abiri, Morgan State University Tolulope Abiri is a graduate student in Civil Engineering at Morgan State University, where he also
Faculty Learning Community(FLC) model to promote effective teaching practices. Through this program, faculty regularlyengage with instructional design experts to redesign one course. The support staff work one-on-one with faculty to identify core learning outcomes and help to design content that capitalizes onintrinsic motivation to increase student engagement, competence and learning gains [7]. Thecourse redesigned through this program is tracked over several semesters to assess results andgauge the overall effectiveness of the program.The course presented in this paper was improved by refining the learning outcomes based onBlooms Taxonomy [21], incorporating scaffolding to provide the appropriate level of support tolearn more complex concepts
and a half, or a year, and so it’s a lot of like kids that were behind or even further behind, you’re teaching them how to, it sounds cliche, but like how to learn school again, but it’s really all of that trauma and all of those experiences that they’re coming back with and, yeah, everyone was tired. I think there was low energy because there we had, the state didn’t say, ‘Oh, okay, you know, I know the kids are coming back with these deficits or these issues, you know, don’t worry about STAAR [State of Texas Assessments of Academic Readiness exam] [37], don’t worry about this.’ For a lot of schools like us, we were an IR [Improvement Required] [38], so we had to push and dig and dig and dig to get out
electric vehicle (EV) technology. CED explores theintersection of air quality with EJ and sustainable transportation topics from a local geospatialperspective. Initial findings show that CED increased students’ understanding of the engineeringdesign process and the role of incorporating EJ in design solutions.After several years of classroom testing and revisions, CED is now published and freelyavailable through the TeachEngineering online digital library to extend its reach and adoption.IntroductionEngineers act in the service of healthy communities [1], and Environmental Justice (EJ) is a keyelement of ethical engineering. This reinforces the importance and necessity that engineers mustengage with all stakeholders and assess the value and
reserved for discussion of ethics and AI. In order to better engage students in anotherwise ‘technical’ course, the module incorporates a mix of lecture-style presentation, classdiscussion, and an in-class role-playing game inspired by the popular party game Mafia. Thisactive learning [8, 9] component is key for diversifying away from the lecture-heavy approachtaken in many computing ethics courses. The content of the two classes is described further in theAI Policy Module section. In order to gauge the effectiveness of the module, students completedpre- and post-module surveys [10, 11] which aimed to assess student interest in AI policy andmeasure competencies related to the application of policy to technical AI development.The overall goals of
independentproblem-solving, and it employs advanced problem-solving frameworks, such as issue trees andfirst principles, as well as Socratic questioning, to guide students through complex challenges.The AI chatbot aims to build student confidence and competence in navigating engineeringproblems through these methods.To assess the chatbot's impact, we use the following research questions: ● How effectively is the AI chatbot improving students’ understanding of lab procedures and instrumentation? ● In what capacity does the chatbot promote deeper conceptual thinking and independent problem-solving?These questions form the foundation of a mixed-methods evaluation approach, which combinesqualitative student feedback, surveys, and an analysis
research efforts focus on pedagogical assessment and science fair participation by students in grades 6-12. ©American Society for Engineering Education, 2025 A Comparison of Three Teaching Methods in Junior Chemical Engineering Required CoursesAbstractJuniors in chemical engineering at a small, private, South Plains institution (The University ofTulsa) take three required chemical engineering courses in the spring semester: mass transfer &separations, reactor design, and process control. The faculty structured their courses in differentways: • Mass Transfer was taught traditionally with in-class lectures and in-class problem solving by the professor before students
courses—Introduction toSustainable Process Engineering and Environmental Life Cycle Assessment [19]. These coursesprovide in-depth focused coverage of introductory topics and the fundamentals of life cycleassessment. While these courses have been successful, their limited capacity (25 studentsmaximum) and upper-level placement restricts the audience to a portion of the junior and seniorstudents, along with a few graduate students. To address these limitations, the department isplanning to expand its sustainability efforts by integrating dedicated lesson modules into threesophomore core courses. This approach aims to establish an early and consistent foundation insustainability concepts, emphasizing their importance and ensuring that all chemical
Paper ID #46127Student Performance Improvement in a Circuit Analysis Course when InteractiveWeb-Native Textbook Activities are Assigned for PointsMs. Jenny Welter, Wiley Jennifer ”Jenny” Welter has been a publishing professional for more than two decades, specifically focused on engineering publications and courseware during the majority of her tenure. She is passionate about supporting engineering education, specifically focused on content and assessment development for more effective student learning. She earned her BA in English from The University of Iowa.Yasaman Adibi, zyBooks Yasaman Adibi is an Engineering Content
optimize their3D assets to improve their performance on their VR headset, progressing from practice tomastery. Each lab should take students ~4 hours each and are due at the end of the week,ensuring they have ample time to engage deeply with the material and attend open lab times asneeded. Figure 4 depicts an example lab prompt as well as student submissions to this lab.Figure 4: The prompt (left) and sample student submissions (right) for Lab 5, a lab in which students create a balcony space inShapesXR using assets from the ShapesXR library.Labs provide structured practice while acting as formative assessments with timely feedback,helping learners improve. When grading labs, the teaching team considers weekly learning goals,student progress, and