Paper ID #37212Integration of VHDL Simulations and Written Reflections to ImproveStudent Understanding of Sequential Logic CircuitsBen Arie Tanay, Purdue Engineering EducationDr. Renee M. Clark, University of Pittsburgh Renee Clark serves as the Director of Assessment for the Swanson School of Engineering at the University of Pittsburgh. She received her PhD from the Department of Industrial Engineering, where she also completed her post-doctoral studies. Her research has primarily focused on the application of data analysis techniques to engineering education research studies as well as industrial accidents. She has over 20
Paper ID #38062Changes to a Circuits Lab Sequence to Encourage Reflection andIntegration of Experiences Across Related Courses to Explore NewSolution Spaces to an Engineering ProblemDr. Chandrasekhar Radhakrishnan, University of Illinois, Urbana-ChampaignDr. Christopher D. Schmitz, University of Illinois at Urbana - Champaign Christopher D. Schmitz received his Ph.D. in Electrical and Computer Engineering from the University of Illinois in 2002.Dr. Rebecca Marie Reck, University of Illinois Urbana-Champaign Rebecca M. Reck is a Teaching Associate Professor of Bioengineering at the University of Illinois Urbana- Champaign. Her
Paper ID #43465Board #440: Effect of Reflection Exercises on Preparation for Exams: A CaseStudy in an ECE Machine Learning ClassDr. Ahmed Dallal, University of Pittsburgh Dr. Dallal is an associate professor at the department of electrical and computer engineering, Unversity of Pittsburgh. Dr. Dallal’s primary focus is on education development and innovation. His research interests include biomedical signal processing, biomedical image analysis, and computer vision, as well as machine learning, networked control systems, and human-machine learning. ©American Society for Engineering Education, 2024
undergraduate students over the years. Next, we will introduce and discuss the twoclasses (Freshman Engineering and Electromagnetism) where we deployed the method. We willalso highlight the students’ work and introduce their journeys by sharing their reflections andsome examples of their activities and challenges. The main question that we are trying to ask andfind evidence for is, "Can we re-engineer mistakes and use them as an important part of thelearning, changing, and adapting to the process, examinations, and growth of the students?” Wefound that providing low-stakes learning opportunities is impactful in encouraging collaborationsamong the students and allowing them to openly engage in their own identity, discuss, examinetheir knowledge and not
response to these trends, more engineering courses are being designed to incorporate moreinnovative, creative problem-solving skills2,3,4,5. Some examples include field trips or minicompetitions as a creative model to encourage creativity6. In addition, problem-based learningand critical thinking skills in the context of real-world problems have been integrated intoengineering education to facilitate students’ divergent thinking during the idea generation phase7.Among them, the most common instructional approach in engineering education is open-endeddesign projects, where the target product is not defined in order to allow creative opportunities3,5.One argument in favor of open-ended design projects is that students reflect on their owncreative
Framework Kolb’s Experiential Learning Theory (ELT) provides a foundational framework forunderstanding how students learn through experience, and serves as a key theoretical guide in thedesign of our summer course. Learning, according to [9], is defined as “the process wherebyknowledge is created through the transformation of experience,” which shows that experienceand reflection form the core of meaningful learning. As for the ELT model, a four-stage learningcycle is outlined: Concrete Experience (CE), Reflective Observation (RO), AbstractConceptualization (AC), and Active Experimentation (AE). Here, such a cyclical model is rootedin constructivist principles, viewing learners as active constructors of knowledge And in thismodel, effective
rooted in human-centered design and is often related to developinga product or service. However, design thinking also evokes a sense of creativity andintentionality that goes beyond industrial or commercial settings. IDEO, a pioneering companyin design thinking, dramatically expanded the term’s dissemination and implementation. “Wewant to teach people how to use design thinking in their lives, communities, businesses andorganizations,” asserts Tim Brown, Executive Chair of IDEO [6]. Building on this vision, wedesigned a course module for graduate engineering students to integrate design thinking intoself-reflection and career development practices. Using a framework developed by Bill Burnettand Dave Evans at the Stanford Design School, we
receivepartialcreditontheproblemsattempted.Finalgradesarethendeterminedbycombining the scores on the formative (homework) and summative (tests) assessments using a predetermined formula. In somecases,attendance,classparticipation,andlabworkmayfactor in the final grade calculation. Although this works reasonably well, the final grade does not accurately reflect student knowledge. tandards-based Grading is a more authentic way to assess student achievement. In a courseSusingauthenticgrading,coursegradesarebasedonstudentproficiencyinspecifictopics,called standards. Standards are regularly assessed and opportunities for reassessments are offered
the College of Engineering and Computing and an Associate Professor of Electrical and Computer Engineering at George Mason University. ©American Society for Engineering Education, 2025 Sharing Our Insights after Serving as Rotators at the National Science FoundationAbstract: A panel co-hosted by the Divisions of ECE and CoED will focus on the reflectionsfrom the former National Science Foundation (NSF) Program Directors. The panelists andmoderator served as rotating program directors across various directorates at NSF, all with aconnection to engineering and computing education. They will reflect on their experiences atNSF and what they learned from the position and will
for teaching highly technical concepts. ©American Society for Engineering Education, 2023 Considerations for Software-defined Radio Use within a Project-based Learning SubjectAbstractIn this paper we reflect on the use of software-defined radio (SDR) within a project-basedlearning (PBL) subject at the master’s level that incorporates a semester-long wirelesscommunication design project. PBL as a pedagogy is an important tool for addressing disparitiesexisting between the capabilities with which engineering students graduate and those demandedby employers. Ideally, it enables ‘dual impact’ activities in which both technical and professionalskills can be developed concurrently
facets of knowledge inlearning activities. Additionally, Krathwohl's revision of Bloom's Taxonomy [14] emphasizes theevolution of the framework, underlining the significance of metacognitive knowledge. This newlyintroduced category reflects advancements in cognitive psychology, stressing the importance ofstudents' awareness of their own cognitive processes—an aspect crucial for effective learning.Building on Bloom's Taxonomy, which originated in 1956 [16], the end goal has always been tocontribute to the development of students’ learning facilitated through a taxonomy of educationalobjectives and in this case, specific to engineering education. The taxonomy not only classifieseducational goals but also provides precision in discussing curricular
, followed by 14 months ofsubsequent abstract conceptualization, design, building, and testing the solar tracking systems,and reflections. Students led this project as part of a Project-based Learning framework groundedin Kolb’s Experiential Learning Theory. Students gained foundational knowledge aboutprinciples of the solar cell, semiconductors and pn junction in lectures, then learnedcharacterization method of the solar cell efficiency with Arduino, current sensor, potentiometer,and multimeter in a lab session of ESAP Nanotechnology course. After the course, students werefurther motivated to make a prototype solar tracking system for renewable energy technology.Through the iterative process of building, testing, and troubleshooting, the solar
benefits of hands-on learning are well-documented, there is limited research on itsimpact within the unique context of HBCUs, particularly among second-year pre-engineeringstudents. This study addresses this gap by focusing on the intersection of educational innovation,diversity, and equity, examining how hands-on physics preparation supports academic success andcareer readiness in underserved populations.2.5 Kolb’s Experiential Learning ModelThis consists of four stages: Concrete Experience, Reflective Observation, AbstractConceptualization, and Active Experimentation. In the study, this model was applied to hands-onphysics preparation for pre-engineering students at HBCUs in the following ways:2.5.1 Concrete ExperienceIn this experience
, we developed the Plug -n- Play approach, a flexiblepedagogical approach which ensures instructors have a fixed core structure, flexibility inleveraging their own teaching style, and a mechanism for constant reflection which allows foradaptations to the course structure over time. The PNP approach focuses course design around thestudent experience, while acknowledging and supporting individual teaching styles and teachingmethods.To assess PNP, a classroom observation protocol was developed to evaluate student engagement,as well as examination of sixteen sections worth of grades and student evaluations. The resultsshow that students are highly engaged with the course material, peers in the class, and theinstructors. Finally, the PNP approach
technical assignments include eight guidedlaboratory assignments and two open-ended projects, each scaffolded by a proposal process,where students meet with teaching assistants to check in and get critical feedback on their designideas. A Lab Practicum is administered as an authentic performance measure near the end of thecourse. Three reflection assignments are administered throughout the semester at week 2 (pre),week 9 (mid), and week 14 (post) to measure the development of student attitudes throughout thecourse. These reflection results are the data analyzed in this paper.In addition to measuring students’ self-efficacy, the reflection assignments also measure theiridentity both as a “maker” and “engineer” as well as their sense of belonging to
established AI curriculum, enhanced with specializedadaptations for neurodivergent learners. Students engaged with machine learning principlesthrough hands-on exercises in Python, working with frameworks including TensorFlow andKeras. The curriculum emphasized responsible AI design, particularly addressing machinelearning bias, a critical consideration given emerging research on algorithmic fairness. Projectwork spanned affective computing, computer vision, and natural language processing usingindustry-standard tools, including GitHub and Jupyter Notebooks.Pedagogical ApproachThe program's pedagogical design reflected the current understanding of neurodivergent learningpreferences. Technical content delivery incorporated frequent active learning
incentivizing intellectual curiosity, allowing studentsto engage deeply with the material without sacrificing the practical importance of their academicrecords.Alternative grading also gives more meaning to earned grades over traditional grading models byensuring they directly reflect a student’s demonstrated understanding of key concepts. Instead ofrelying on partial credit or averaging scores across graded events, this approach requires studentsto meet clearly defined learning objectives before receiving credit. Furthermore, assessments areclearly and transparently mapped to learning objectives. As a result, grades become a more accu-rate representation of what students understand at the end of a course.In this work, we describe the implementation of
Mission for a Holistic Education: Pilot ImplementationAbstractThe evolution of engineering education over the past few decades reflects the growingcomplexity of the challenges engineers encounter in today’s world. Where once technicalproficiency was the primary emphasis of engineering education, there is now a growingrecognition of the distinct but complementary role that professional formation plays in shapingwell-rounded engineers [1] [2] [3]. A holistic approach to engineering education will help usshape future engineers who possess the foundational knowledge and applied skills in theirdiscipline, as well as across disciplinary boundaries, along with global and cultural awareness,social responsibility, ethical leadership, and sustainability
) learning systems [3], [5]. Someonline homework systems, that provide instant feedback, tutorial information and opportunitiesto repeat problems provide the opportunity for students who are willing to persevere and investthe time repeating problems they have missed. Students who give up, or resort to guessing maynot benefit as much from these systems. Some systems have penalties for repeating problemswhich discourages guessing. Explicit instruction to students on how to interact with thesesystems might be helpful. The author is now instructing his students to avoid guessing.Carroll’s model reflects his goal to give all students the opportunity to succeed. Bloom, inspiredby Carroll’s work, developed mastery learning with a goal of enabling a large
instruction. One instructor noted the challenge ofindividualizing instruction given that, for privacy and research-related reasons, they weredesigning materials for students with whom they would not interact directly: “I’m so used toknowing the individual from my work that it was a challenge for me to do that without sort of aclear …” understanding of the learners. Bridging this gap and providing individualized supportproved to be an ongoing challenge for instructors. Another instructor reflected on how the denseprogram with a compressed timeframe contributed to this difficulty: "So it was like too muchwork for them. We didn't expect that we are going to have to invest this amount of time in thisproject…”Balancing Conceptual and Technical
, Exploration,Explanation, Elaboration, and Evaluation) teaching approach, as also recommended in [19]. Duringthe Engagement phase, students discuss their pre-noted questions and observations in the researcharticles they were assigned to read before class. In the exploration phase, students independentlyinvestigate concepts by maintaining a list of questions. In the Explanation phase, the instructor usesthe lecture materials to clarify key concepts and address the challenges identified during the explo-ration phase. The Elaboration phase extends learning by introducing advanced problems and casestudies in the lectures. Finally, in the Evaluation phase, comprehension was assessed by reviewingthe homework sets, reflective discussions, and final paper
Intrinsic Motivation items of the questionnaire were codedon a Likert-scale from “Strongly agree” to “Strongly disagree”. The Learning Styles Inven-tory questionnaire included 44 items that were binary in nature, students picked the bestfit from two presented options, e.g. “I understand something better after I a) try it out orb) think it through”. Each of these 44 items belonged to one of 4 learning styles categories:Activist/Reflective, Sensing/Intuitive, Visual/Verbal, or Sequential/Global. Students wouldthus get a score between 0 and 11 for each category - for example, the 11 items that cor-responded to the Activist/Reflective spectrum were added with a score of 1 if the responsecorresponded to Activist and a score of 0 if the response
much betterDoes your system display a low pass response or a high pass response? How do you know?Students displayed errors in identification and terminology that are anticipated for any laboratoryexperiment on frequency response. In their written reflections, some students correctlyqualitatively described a highpass response, but incorrectly classified it as a lowpass response.Students in both the speaker completed first and resistor completed first groups bothemphasized the behavior of the speaker when justifying whether their circuit was high or lowpass. One student in the resistor completed first group reversed their judgment of the filternature after doing the speaker version of the experiment. After completing the resistor-onlyportion of
analysisof the autoethnographic account of the first blind student to complete the introductory ECEcourse at our institution, Stanford University. This work also expands the role of the blindstudent to become a co-researcher, actively guiding the direction of this work while receivingmentorship from research team members on qualitative research methods.In this work, we begin with the analysis of seven reflection journal entries written by the blindstudent and relevant discussion session notes recorded by the lead researcher. These data weregenerated and collected via the autoethnography method and analyzed by applying the CAREmethodology, using a grounded theory approach, during which we completed open and focusedcoding. We then identify
Teaching andLearning (ET&L) at the University of Washington, Seattle. 1. Exit Slips: These were distributed to students who attended the AGOH throughout the quarter. The purpose of the exit slips was to capture immediate feedback and reflections from students on their learning experiences and the specific assistance they received during AGOH. 2. End-of-Term Course Evaluation: A comprehensive course evaluation form was made available to all students at the end of the term. This evaluation aimed to assess various aspects of the course, including the effectiveness of teaching methods, the utility of office hours, and overall student satisfaction.Both measurement tools were designed to be anonymous. This ensured
all relevant books within the O’Reilly database. • For each recommended book, we manually verified its existence in the O’Reilly database and in our curated dataset. Only after this verification step did we include the book as part of our ground truth set.Figure 1: The flow chart of TextMatch’s search algorithm, from user input (main query and topics)through keyword search, semantic reranking stages, and finally to the top 10 most relevant results.This method combined ChatGPT’s broad knowledge and user-friendly presentation with humanverification, producing a set of ground truth data that was practical and reflective of typical usersearch strategies. Figure 2: A histogram of the frequency distribution of relevant items in
for undergraduate ECE students. A key component of this effort is creatingassessments to qualitatively and quantitatively measure improvements in debugging skillsthroughout the semester.In Spring 2024, we conducted a trial of three debugging assessments with 29 undergraduatestudents to establish baseline debugging skills before introducing the new curriculum [6].Although the assessments provided valuable insights, reflective journaling, coding of findings,and student feedback revealed opportunities to reduce bias and minimize stressors in the examprocess. The updated exam format was used with 50 students during the Fall 2024 semester andreflected the success of the exam modifications. The assessment was improved by adding ampleopen space to
exercises use. We also have a support website [7], which provides access to therules and additional setup information. The white team also maintains a Discord server to answerquestions and provide additional support.This preparatory period is crucial for fostering collaboration, honing technical skills, andinstilling a sense of ownership among participants. It ensures that the competition is a test ofdefensive capabilities and a comprehensive learning experience reflecting real-worldcybersecurity challenges' complexities.Exercise: On the event day, the competition phase starts, an intense eight-hour attack session,during which the Blue Teams (defenders) must maintain service availability while fending offsophisticated attacks from the Red Team
1. Alsodiscussed is the pedagogical background required for designing realistic engineering problems.Finally, an example project for sophomore-level electrical and computer engineers is explained indetail, with the author’s own experiences in assigning this project explored. The project is anopen-ended problem with multiple solution options. Students have scaffold-ed experiences withinthe course to guide them towards several possible techniques. Students follow a fullproblem-solving structure through defining their problem, exploring options, planning a method,implementing said method, and then reflecting upon the success of their design.IntroductionThe first of the seven ABET outcomes is stated as “an ability to identify, formulate, and
you understand those concepts very well you won’t have to waste more time relearning it.” “Review your Physics II before you start the class.” “Do well in University Physics 2” Needs for Visualization “Bringing more visualization would be helpful.” “I would have preferred more visual aids, specifically animations of the fields.”Conditions and Constraints in Class EnvironmentThe class environment plays a pivotal role in fostering effective learning and holds significantimportance in shaping the educational experience for students. It is useful to clarify the classenvironment for both universities along with the constraints so that it reflects better howvisualization tools and trials work. Both institutions adopt typical university classes and