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Displaying results 181 - 209 of 209 in total
Conference Session
Computers in Education Division (COED) Track 2.D
Collection
2025 ASEE Annual Conference & Exposition
Authors
Ryan Tsang, University of California, Davis; SYDNEY Y WOOD, University of California, Davis
Tagged Topics
Diversity
Tagged Divisions
Computers in Education Division (COED)
]. Available: https://doi.org/10.1007/s11409-008-9029-x[20] P. Winne and A. Hadwin, “Studying as self-regulated learning,” in Metacognition in Educational Theory and Practice, 1st ed. Lawrence Erlbaum Associates Publishers, Jan. 1998, vol. 93, pp. 277–304. [Online]. Available: https://www.researchgate.net/publication/247664651[21] J. A. Greene and R. Azevedo, “A Theoretical Review of Winne and Hadwin’s Model of Self-Regulated Learning: New Perspectives and Directions,” Review of Educational Research, vol. 77, no. 3, pp. 334–372, Sep. 2007. [Online]. Available: https://doi.org/10.3102/003465430303953[22] P. H. Winne, A. F. Hadwin, and C. Gress, “The learning kit project: Software tools for supporting and researching regulation of
Conference Session
Computers in Education Division (COED) Track 4.C
Collection
2025 ASEE Annual Conference & Exposition
Authors
Safia Malallah, Kansas State University; Ejiro U Osiobe; Lior Shamir, Kansas State University; Joshua Levi Weese, Kansas State University; Nathan H. Bean, Kansas State University; Russell Feldhausen, Kansas State University
Tagged Topics
Diversity
Tagged Divisions
Computers in Education Division (COED)
gender-inclusive STEM practices, cross-culturalapplicability, and alignment with educational standards. Similarly, Beals and Bers [12]highlighted the importance of tailored communication tools and cooperative play to alignvirtual activities with children’s developmental needs. VWs provide unique opportunities for fostering creativity, ethical decision-making, andcivic engagement. Bers [15] explored the Zora VW as a praxis-based environment,demonstrating how open-ended tasks and interactive learning promote critical thinking andcivic knowledge. Similarly, Beals and Bers [16] evaluated the ClubZora project, highlightingthe role of user-driven design and safe spaces in fostering engagement and inclusivity. Malallah[13] emphasized purposeful
Conference Session
Computers in Education Division (COED) Track 2.B
Collection
2025 ASEE Annual Conference & Exposition
Authors
Stephany Coffman-Wolph, Ohio Northern University; Abigail Clark, Ohio Northern University; J. Blake Hylton, Ohio Northern University; Bryan Alan Lutz, Ohio Northern University; Gabriel Mott, Ohio Northern University
Tagged Divisions
Computers in Education Division (COED)
process via hands-on projects, skills such as computer-aided modeling, teamwork, technical communication, and others.One long-standing assignment in this course is the “One-Minute Engineer”, which occurs duringthe first semester course [6], [7]. This assignment is part of the technical communication contentin the FYE curriculum. In this assignment, students first identify a goal within the UnitedNations’ Sustainable Development goals [8] and identify an engineering-connected topic withinthat goal. For example, a student may select the goal of “Zero Hunger” and the topic of“Genetically Modified Organisms” within that goal. Once approved by the instructor, thestudents research their topic and write a one-to-two-page memo regarding the topic, get
Conference Session
COED: Skills for Moving from Computing Student to Professional
Collection
2023 ASEE Annual Conference & Exposition
Authors
Rachel Field, Morgan State University; Steven J. Fuller; Edward Dillon, Morgan State University
Tagged Divisions
Computers in Education Division (COED)
institutions are beginning toimplement technical interview practices into the classroom as assignments, group projects,warm-ups, class exercises, and dedicating a class to the topic. For instance, literature shows thatexposing students to technical interview exercises in their Data Structure course(s) is one of themost effective methods. One reason being that students are exposed to the process early on but itbecomes natural for them to think as interviewees based on the construct of these particularcourses. Likewise, literature suggests that introducing the technical interview process early in astudent’s computational development could better gauge the overall effectiveness of thisemployed initiative. Yet, the number of studies that reflect such
Conference Session
COED: Grading Systems
Collection
2023 ASEE Annual Conference & Exposition
Authors
Liia Butler, University of Illinois, Urbana-Champaign; Geoffrey L. Herman, University of Illinois, Urbana-Champaign
Tagged Divisions
Computers in Education Division (COED)
Vesa Lappalainen. Csi with games and an emphasis on tdd and unit testing: Piling a trend upon a trend. ACM Inroads, 3(3):62–68, sep 2012. ISSN 2153-2184. URL https://doi.org/10.1145/2339055.2339073.[15] Peter J. Clarke, Debra Davis, Tariq M. King, Jairo Pava, and Edward L. Jones. Integrating testing into software engineering courses supported by a collaborative learning environment. ACM Trans. Comput. Educ., 14(3), oct 2014. URL https://doi.org/10.1145/2648787.[16] Nicole Clark. Peer testing in software engineering projects. In Proceedings of the Sixth Australasian Conference on Computing Education - Volume 30, ACE ’04, page 41–48, AUS, 2004. Australian Computer Society, Inc.[17] Stephen H. Edwards. Using software
Conference Session
COED Modulus Topics
Collection
2023 ASEE Annual Conference & Exposition
Authors
Damitu Robinson, University of California, Davis; Nicholas Hosein; Andre Knoesen, University of California, Davis; Akash Kashyap
Tagged Divisions
Computers in Education Division (COED)
answered.At the top of every post in the active tab of KarmaCollab is a button that will launch a QR codescanner. The video chat automatically launches once the companion web app is scanned from anybrowser (no login required). KarmaCollab video rooms have no capacity limits and allow forscreenshare, which is used extensively in project courses involving simulations and coding.Self-Managed ArchiveKarmaCollab tries a new approach to archiving posts. Other platforms such as Slack, Piazza, andBlackboard allow for an infinitely long archive of all questions posted, sometimes even from pastinstances of the course. KarmaCollab uses a model more like Twitter, where trending archivedtopics bubble to the top of the archive, and posts that have lost relevance
Conference Session
COED: Student Perspectives of Instructional and Advising Approaches
Collection
2023 ASEE Annual Conference & Exposition
Authors
Mahbub K. Ahmed, P.E., Southern Arkansas University; Kendra J. Ahmed, Southern Arkansas University
Tagged Divisions
Computers in Education Division (COED)
tool, a set ofsurvey questions were given to those students whose schedules have been made using theadvising tool. The collected survey data has been analyzed statistically to determine the tool'sefficacy from students’ perspectives. The analyzed data indicate that the students were overallsatisfied and had positive attitudes towards different aspects of the tool.MotivationIn any major, preparing an effective and error-free course plan for undergraduate students eachsemester is crucial for their timely graduation. However, various constraints may arisethroughout the student’s four-year program, which can cause uncertainties in their graduationtiming. Students also often want a clear picture of their projected graduation date, including
Conference Session
COED: Spotlight on Diverse Learners
Collection
2023 ASEE Annual Conference & Exposition
Authors
Edward Dillon, Morgan State University; Theodore Wimberly Jr.; Mariah McMichael; Lauren Brown, Morgan State University; Abigail Dina; Krystal L. Williams, University of Georgia
Tagged Topics
Diversity
Tagged Divisions
Computers in Education Division (COED)
the field of CS may not be equitable or inclusive to black women. Moreover, the fact thatan overwhelming majority of these participants experience imposter syndrome and struggle withtheir inner confidence further challenges their sense of belonging in the field, which could playan integral role in their overall representation in CS.Challenges that black women face are uniquely different from other groups due to the fact thatthey reside in the middle of the intersection of race, gender, and in some cases class. This uniquedynamic may be indicative for why 50% of the participants feel pressure to show adequatecompetency and perfection in these settings. Being one of very few on team projects and relatedinteractions, or feeling immediate
Conference Session
The Best of Computers in Education Division (COED)
Collection
2024 ASEE Annual Conference & Exposition
Authors
Phyllis J. Beck, Mississippi State University; Mahnas Jean Mohammadi-Aragh, Mississippi State University
Tagged Topics
Diversity
Tagged Divisions
Computers in Education Division (COED)
fl fl fl flcan leave a lot of problem-solving to be completed in the coding phase where a participant mayneed more time to complete the project or run into unanticipated problems.3.4 Design Cohesion and Granularity LevelAfter applying the alignment notation to each of the exercise samples we determined that DesignCohesion could be classified as low, medium, or high. A low level of design cohesion canindicate a low level of metacognition and ability to plan prior to implementing a programmingsolution. It may also represent a lack of attention to the planning phase, where a
Conference Session
Teaching with ML and Generative AI
Collection
2024 ASEE Annual Conference & Exposition
Authors
Anthony Cortez, Point Loma Nazarene University; Paul Daniel Schmelzenbach, Point Loma Nazarene University
Tagged Divisions
Computers in Education Division (COED)
in communicating complex and technical ideas. 3. Understand key ideas of how to use Excel as a tool to solve problems and communicate data in science and engineering. 4. Become proficient at using MATLAB, including writing .m files and correcting or modifying existing code. 5. Learn fundamental skills for group collaboration, as well as lab and project execution/documentation/demonstrations. 6. Address the role that artificial intelligence has in engineering. 7. Understand how to utilize a microcontroller to solve certain engineering problems.Therefore, ChatGPT was not introduced into the course until two-thirds of the way through thesemester. The purpose for introducing AI to the latter part of the semester was
Conference Session
Programming Education 2
Collection
2024 ASEE Annual Conference & Exposition
Authors
Timothy James, Purdue University; Alejandra J. Magana, Purdue University
Tagged Divisions
Computers in Education Division (COED)
able to effectively engage a broader audience.1. IntroductionThe number of jobs in software development is projected to increase substantially over the nextdecade [1]; this increased demand will require many new workers to learn how to developsoftware. Traditionally, many universities and colleges have provided computer science degreeprograms that will prepare future workers. However, more scalable approaches like MassiveOpen Online Courses (MOOCs) could be an alternative – a more scalable approach to preparingthe next generation of software developers that might reach a broader audience [2]. Thesecourses can help to address rising demand for computer programming education and expandaccess to educational opportunities [3]. Unfortunately, MOOCs
Conference Session
Teaching with ML and Generative AI
Collection
2024 ASEE Annual Conference & Exposition
Authors
Han Kyul Kim, University of Southern California; Aleyeh Roknaldin, University of Southern California; Shriniwas Prakash Nayak, University of Southern California; Xiaoci Zhang, University of Southern California; Muyao Yang, University of Southern California; Marlon Twyman, University of Southern California; Angel Hsing-Chi Hwang, Cornell University; Stephen Lu, University of Southern California
Tagged Divisions
Computers in Education Division (COED)
ideas in engineering design course projects,” Design Studies, vol. 47, pp. 47–72, 2016.[23] D. H. Cropley, Creativity in engineering. Springer, 2016.[24] G. Salton and C. Buckley, “Term-weighting approaches in automatic text retrieval,” Information processing & management, vol. 24, no. 5, pp. 513–523, 1988.[25] H. K. Kim, H. Kim, and S. Cho, “Bag-of-concepts: Comprehending document representation through clustering words in distributed representation,” Neurocomputing, vol. 266, pp. 336–352, 2017.[26] D. H. Cropley, A. J. Cropley, and B. L. Sandwith, “Creativity in the engineering domain,” Creativity & Engineering, vol. 11, no. 2, p. 233, 2017.[27] Y. Zhu, J.-Y. Nie, K. Zhou, P. Du, H. Jiang, and Z. Dou, “Proactive
Conference Session
Computers in Education Division (COED) Track 6.B
Collection
2025 ASEE Annual Conference & Exposition
Authors
Laura Albrant, Michigan Technological University; Michelle E Jarvie-Eggart P.E., Michigan Technological University; Leo C. Ureel II, Michigan Technological University
Tagged Divisions
Computers in Education Division (COED)
Antipatterns In Novice Code. PhD thesis, Michigan Technological University, Houghton, MI, Aug 2020.[2] L. C. Ureel II and C. Wallace, “Automated critique of early programming antipatterns,” in Proceedings of the 50th ACM Technical Symposium on Computer Science Education, pp. 738– 744, 2019.[3] E. Gamma, R. Helm, R. Johnson, and J. Vlissides, Design Patterns: Elements of Reusable Object-Oriented Software Addison-Wesley. Addison-Wesley, 1995.[4] W. H. Brown, R. C. Malveau, H. W. McCormick, and T. J. Mowbray, AntiPatterns: refactoring software, architectures, and projects in crisis. John Wiley & Sons, Inc., 1998.[5] A. Koenig, “Patterns and antipatterns.,” Journal of Object-oriented Programming, vol. 8, pp. 46–48, 1995.[6] A
Conference Session
Computers in Education Division (COED) Poster Session (Track 1.A)
Collection
2025 ASEE Annual Conference & Exposition
Authors
Ratana Prinyawiwatkul; brian Warren, Southern University and Agricultural & Mechanical College; Shuju Bai, Clayton State University; Albertha Hilton Lawson, Southern University and A&M College
Tagged Divisions
Computers in Education Division (COED)
nontraditional community college students,” 2013 ASEE Annual Conference & Exposition, Jun. 2013, Retrieved from: https://peer.asee.org/22591.pdf[12] National Girls Collaborative Project (2019)- State of girls and women in STEM. Retrieved Mar 11, 2023, from NGCP-TheStateofGirlsinSTEM-March2024.pdf.[13] K.-Y. Jin, F. Reichert, L. P. Cagasan, J. De La Torre, and N. Law, “Measuring digital literacy across three age cohorts: Exploring test dimensionality and performance differences,” Computers & Education, vol. 157, p. 103968, Jul. 2020, doi: 10.1016/j.compedu.2020.103968.[14] E. N. Tetteh and E. J. K. Attiogbe, “Work–life balance among working university students in Ghana,” Higher Education Skills and Work-based
Conference Session
Computers in Education Division (COED) Track 4.C
Collection
2025 ASEE Annual Conference & Exposition
Authors
Paulina Henríquez Lagos, Universidad Andres Bello; Juan Felipe Calderón, Universidad Andres Bello, Viña del Mar, Chile; Ruben Orlando Baeza, Accion Integra; Luis Rojas, Universidad San Sebastián
Tagged Topics
Diversity
Tagged Divisions
Computers in Education Division (COED)
appliedwith input from an autism and childhood specialist psychologist and a special education teacher.This multidisciplinary team will contribute to assessing improvements in users’ communicationwith their environment and identifying new functionalities. The DBR process consists of severalsteps illustrated in Fig. 3.Fig. 3. DBR Design Diagram, Self-Elaboration.The DBR consists of four phases:• Foundation: Collect and analyze challenges faced by individuals with ASD at support levels 2 and 3 who are nonverbal or have communication difficulties to inform preliminary decision-making for the project and specify the roles of stakeholders. Interviews will be conducted with caregivers from institutions whose children exhibit the specified user
Conference Session
Computers in Education Division (COED) Track 4.B
Collection
2025 ASEE Annual Conference & Exposition
Authors
Madison Melton, University of North Carolina at Charlotte; Mohsen M Dorodchi, University of North Carolina at Charlotte
Tagged Divisions
Computers in Education Division (COED)
, with the goal of reducing teachers’ workload and enhancing instructional strategies.Dr. Mohsen M Dorodchi, University of North Carolina at Charlotte Dr. Dorodchi has been teaching in the field of computing for over 35 years of which 25 years as an educator. He has taught the majority of the courses in the computer science and engineering curriculum over the past 25 years such as introductory programming, data structures, databases, software engineering, system programming, etc. He has been involved in a number of National Science Foundation supported grant projects including Scholarship for STEM students (S-STEM), Researcher Practitioner Partnership (RPP), IUSE, and EAGER. ©American
Conference Session
COED: Grading Systems
Collection
2023 ASEE Annual Conference & Exposition
Authors
Chenyan Zhao, University of Illinois, Urbana-Champaign; Matthew West, University of Illinois, Urbana-Champaign; Mariana Silva, University of Illinois, Urbana-Champaign
Tagged Topics
Diversity
Tagged Divisions
Computers in Education Division (COED)
, family emergency, etc)The response rate for the survey was 84%. Of those students responding, 58% preferred the Strictschedule policy (option A) compared to 27% of the students who preferred the Lenient schedulepolicy (option B). Only 8% would like a stricter schedule with one-fixed additional week tocomplete the assignments (option C), while the remaining 7% preferred no built-in flexibility(option D).4 LimitationsThe data from this study was collected in one Computer Science course at a highly-selectiveresearch university in the United States. It will be important to investigate the extent to which theresults generalize to other settings. For example, project-based courses with specific milestones atpre-determined times would be an
Conference Session
Computers in Education Division (COED) Poster Session
Collection
2024 ASEE Annual Conference & Exposition
Authors
Syed Hasib Akhter Faruqui, Sam Houston State University; Nazia Tasnim, University of Texas at Austin; Iftekhar Ibne Basith, Sam Houston State University; Suleiman M Obeidat, Texas A&M University; Faruk Yildiz, Sam Houston State University
Tagged Divisions
Computers in Education Division (COED)
feedback mechanisms. By inter-linking Artificial Intelligence and assistive technology in an educational setting, this project aspiresto advance personalized learning experiences for students, making meaningful strides in inclusiveeducation.Keywords: SAMCares, Large Language Model, Adaptive Learning, Interactive Learning, Re-triever Augmented GenerationIntroductionThe recent advancement in science and technology has transformed the field of higher education 1 ,bringing a paradigm shift in both teaching methodologies and learning experience. This trend canbe observed globally from both students’ and educators’ perspectives. With the development ofinnovative educational platforms like adaptive learning platforms, virtual and augmented reality(VR/AR
Conference Session
Spotlight on Diverse Learners
Collection
2024 ASEE Annual Conference & Exposition
Authors
Manuel A. Pérez-Quiñones, University of North Carolina; Debarati Basu, Embry Riddle Aeronautical University
Tagged Topics
Diversity
Tagged Divisions
Computers in Education Division (COED)
term; and the use of heavily weighted high-stakes tests or project assignments whereone assignment’s score can make the difference between achieving an average grade or needing torepeat a course.According to Feldman [42], traditional grading includes a component that evaluates student’sbehaviors, often including timeliness, effort, and other behavioral measures. Often these expectedbehaviors make an assumption of life outside of the classroom which indirectly anddisproportionally affects students with part-time jobs, students with family responsibilities, andother non-traditional students.In an online interview with Cornelius Minor2 , he states: “One of the first aspects of truly inclusivegrading is understanding that the assignment doesn’t
Conference Session
Computers in Education Division (COED) Track 3.C
Collection
2025 ASEE Annual Conference & Exposition
Authors
Brian Michael Fiegel, The University of Iowa; Geb W. Thomas, The University of Iowa; Matthew Yazvec
Tagged Divisions
Computers in Education Division (COED)
deliberatepractice environments can address persistent challenges in technical education and inform thedesign of scalable, adaptive learning tools for broader implementation.1. IntroductionThe retention and application of SQL knowledge represent persistent challenges forundergraduate STEM students. At a large Midwestern university, students struggled to applySQL skills acquired through lectures, in-class exercises, and homework when working on theirsemester projects, often within a month of initial exposure. Suspecting limited practiceopportunities contributed to poor skill retention, we sought to improve student engagement,enjoyment, and performance with an effective e-learning system that emphasizes deliberatepractice and immediate feedback.Deliberate
Conference Session
Computers in Education Division (COED) Track 5.D
Collection
2025 ASEE Annual Conference & Exposition
Authors
Sung Je Bang, Texas A&M University; Anna Stepanova, Texas A&M University; Syeda Fizza Ali, Texas A&M University; Christina Belanger, Texas A&M University; Tracy Anne Hammond, Texas A&M University; Saira Anwar, Texas A&M University
Tagged Divisions
Computers in Education Division (COED)
Paper ID #48844High School Students’ Sentiments and Outcomes in FossilSketch LearningActivitiesMr. Sung Je Bang, Texas A&M University Sung Je Bang is a Ph.D. candidate in Interdisciplinary Engineering at Texas A&M University, within the Department of Multidisciplinary Engineering. He serves as a graduate research assistant on multiple projects, where he focuses on user experience and psychological aspects of technology. His research interests include artificial intelligence, large language models, user experience design, and engineering education.Anna Stepanova, Texas A&M University Dr. Anna Stepanova is a
Conference Session
Computers in Education Division (COED) Track 5.C
Collection
2025 ASEE Annual Conference & Exposition
Authors
Erik Verlage, The Ohio State University; Christian Gabbianelli, Massachusetts Institute of Technology; Kachina Studer, Massachusetts Institute of Technology; Ashim Dhakal, The Ohio State University; Zhen Zhao, Massachusetts Institute of Technology; Meredith Thompson, Massachusetts Institute of Technology; John Liu, Massachusetts Institute of Technology
Tagged Divisions
Computers in Education Division (COED)
environments that make use ofdarts or target metaphors [24], or dynamical displays of stochastic processes such as a digitalGalton board as an analogy for manufacturing variation [25]. There is an opportunity to createdigital environments that allow users to virtually operate equipment, gather and analyze data,interact directly with SPC tools like run charts and control charts, and better prepare students foron-the-job problem solving. In this work we leverage the advantages of digital environments tocreate a series of interactive simulations and games to teach statistical process control in amanufacturing environment.2. Development of Process Control Interactive Simulations and Web GameFor this project, the goal of using interactive web simulations
Conference Session
Computers in Education Division (COED) Track 2.B
Collection
2025 ASEE Annual Conference & Exposition
Authors
Runu Proma Das, University of Georgia; Tathyana Moratti, University of Georgia; Shari Gasper, University of Georgia; Beshoy Morkos, University of Georgia
Tagged Divisions
Computers in Education Division (COED)
system design, manufacturing, and their respective education. His system design research focuses on developing computational representation and reasoning support for managing complex system design through the use of Model Based approaches. The goal of Dr. Morkos’ manufacturing research is to fundamentally reframe our understanding and utilization of product and process representations and computational reasoning capabilities to support the development of models which help engineers and project planners intelligently make informed decisions. On the engineering education front, Dr. Morkos’ research explores means to improve persistence and diversity in engineering education by leveraging students’ design experiences
Conference Session
Computers in Education Division (COED) Track 6.A
Collection
2025 ASEE Annual Conference & Exposition
Authors
Abdulrahman AlRabah, University of Illinois at Urbana - Champaign; Zepei Li, University of Illinois at Urbana Champaign; Meredith Blumthal, University of Illinois at Urbana - Champaign; Sotiria Koloutsou-Vakakis, University of Illinois Urbana-Champaign; Volodymyr Kindratenko, University of Illinois Urbana-Champaign; Tomasz Kozlowski, University of Illinois Urbana-Champaign; Abdussalam Alawini, University of Illinois Urbana - Champaign
Tagged Divisions
Computers in Education Division (COED)
focused on designing AI tools to assiststudents’ learning in specific ways and on evaluating and improving these tools. For example,Gabbay and Cohen developed a framework for LLMs to complement automated test-basedfeedback in programming courses, evaluating the quality of the feedback and demonstrating thepotential of tools like GPT-4 to enhance feedback on code assignments [22]. Vadaparty et al.examined the integration of LLMs in an introductory programming course, focusing on students’experiences and reactions to the LLM’s ability to enhance learning and creativity in project-basedassessments [23]. Jury et al. developed WorkedGen, a tool that utilizes LLMs to generateinteractive worked examples for programming courses. They provided expert
Conference Session
Computers in Education Division (COED) Track 6.A
Collection
2025 ASEE Annual Conference & Exposition
Authors
Kevin Huang, Troy High School; Ivan Zimmerman; Doina Bein, California State University, Fullerton
Tagged Divisions
Computers in Education Division (COED)
that may connect to a student's academicengagement and performance such as number of units completed in previous semester, gradesfrom previous semester, and tuition fee payment status with an accuracy of 85.9% for thepredictions on the test data: 94.5% correctly on the prediction of non-dropouts and 67.9%correctly on the prediction of dropouts. Furthermore, the same set of data was processed by theMulti-Output Classifier neural network resulting in accuracy scores ranging from 83.5% to94.2% for the five target variables, providing valuable insights to educators for advocatingtailored support for at-risk students.IntroductionMultiple research projects have shown the effectiveness of using early warning for supporting at-risk students in
Conference Session
COED: Spotlight on Diverse Learners
Collection
2023 ASEE Annual Conference & Exposition
Authors
Vijesh J. Bhute, Imperial College London; Ellen Player; Deesha Chadha, Imperial College London
Tagged Topics
Diversity
Tagged Divisions
Computers in Education Division (COED)
Paper ID #38909Motivation and Evidence for Screen Reader Accessible Website as anEffective and Inclusive Delivery Method for Course Content in HigherEducationDr. Vijesh J. Bhute, Imperial College London Dr. Vijesh Bhute currently leads 1st and 2nd year modules on Mathematics in the Chemical Engineering Department at Imperial College London. He leverages technology to enhance delivery of abstract con- cepts and also uses math-aware assessment platforms to improve student learning. He collaborates with students on various projects and has also contributed to development of innovative hybrid experiential learning approaches
Conference Session
Computer Engineering Topics
Collection
2024 ASEE Annual Conference & Exposition
Authors
Peter Jamieson, Miami University; Nathaniel David Martin, Miami University
Tagged Topics
Diversity
Tagged Divisions
Computers in Education Division (COED)
processor for division by default, but anynumbers can be loaded to test the dividers if desired.Once the divider and wrapper are created, our entire design, which includes our HW divider, thewrapper, and the edited Trireme processor will be synthesized with the Quartus tool. We alsocompile just the HW divider in its module to get an accurate measure of speed and area for justthe divider. This will give us a result for the area of this divider, as well as the critical path for thedivider implementation. The synthesis of the entire project is needed for ModelSim to carry outthe simulation and test the divider. The ModelSim simulator will simulate the testbench writtenfor it and check for correctness. The number of clock cycles to complete the HW
Conference Session
Computers in Education Division (COED) Track 6.C
Collection
2025 ASEE Annual Conference & Exposition
Authors
Yiqing Li, University of California, San Diego; Jiaen Yu, University of California, San Diego; U Lam Lou, University of California, San Diego; Dingyi Yu, University of California, San Diego; Michael Levin, Utah State University; Korena S Klimczak, Utah State University; Soohyun Nam Liao, University of California, San Diego
Tagged Divisions
Computers in Education Division (COED)
psychological factors of procrastination,and address common cognitive distortions that can contribute to difficult emotions. Our contentends with a feature called the goal tracker which prompts users to set a specific goal for theupcoming week. Throughout the week, participants record their progress, procrastinationtendencies, and ACT skills that they practice daily. It serves as a final project of our content,asking users to apply all the ACT skills they learned.Our design prioritizes high content clarity and minimal cognitive load. The reason is to help usersengage with our content as effectively as possible without additional stress. In order to achievehigh content clarity, we integrated multimedia resources through which ClearMind’s content
Conference Session
Computers in Education Division (COED) Track 6.D
Collection
2025 ASEE Annual Conference & Exposition
Authors
Mitchell Gerhardt, Virginia Polytechnic Institute and State University; Andrew Katz, Virginia Polytechnic Institute and State University
Tagged Topics
Diversity
Tagged Divisions
Computers in Education Division (COED)
what research is and how engineering knowledge isgenerated. In a related study, Faber and Benson [19] similarly found that the epistemic climatesignificantly shapes students’ problem-solving strategies by influencing their goals andmotivation, depth of engagement, source selection, evaluation approaches, and willingness toconsider alternative solutions. One student, Lily, exemplified this influence saying, “Yeah, if this[homework] was a huge part of my grade, or was a big test or big group project, I definitelywould have looked further than on my online book, my textbook, and my slides. I would havegone to the library and found books on [the homework topic], and pulled my information tosupport my ideas, or talked about things that could oppose