Conference 1 Copyright © 2024, American Society for Engineering Educationwith ideas, test implementations, and customize the hands-on experience I find necessary to learnnew material. Not only that, but I was enjoying myself! After taking Computer Architecture,I approached my professor about exploring incorporating the game into the coursework at myuniversity as a means to assist struggling students through alternative learning methods. This paperis a formalized version of the proposal that I made to my professor.In addition to developing unique projects for students, this paper suggests an innovative approachto easing the transition between digital logic and computer architecture. We propose taskingstudents with
) allocate funding forcomputer science teacher professional learning and 4) allow computer science to satisfy a coregraduation requirement.10 In addition, 46% of public high schools (serving 70% of the studentpopulation) within the state offered at least one computer science course as of 2022. Given thistrend, it brings to question whether these initiatives are having an impact on student performancein computer science post K-12 such as in a collegiate setting. In particular, are there courseofferings or approaches that lead to more success for engineering students in a first-yearprogramming course? The goal of this study is to develop a better understanding of this situationwith a focus on the implementation of computer science initiatives at the
Paper ID #44608Student Dropout Prediction in Regional Universities Using AutomatedMachine LearningBin Chen, Purdue University Fort Wayne ©American Society for Engineering Education, 2024 Student Dropout Prediction in Regional Universities Using Automated Machine Learning Bin Chen Department of Electrical and Computer Engineering Purdue University Fort Wayne Fort Wayne, IN, 46805 Email: chenb@pfw.eduIntroductionAccording to the latest
(EDMM 3520) atWestern Michigan University (WMU). Furthermore, this 3-credit course (2 hours lecture, 3hours laboratory per week) is usually offered over a sixteen-week semester schedule was beingconducted during an eight-week 2020 summer session.1This paper discusses how a simulation software can be made accommodating and beneficial in adistance learning environment to students equipped with a basic laptop computer. Additionally,the paper identifies modules used in conjunction with simulation activities to incorporate whatwas being taught in the conventional Metal Casting course. The outcome potentially can be usedas a virtual introductory foundry training program. Flow and solidification simulation softwareprovide a safe virtual setting to
Paper ID #44590Engineering Experiences and Lessons Learned from 2023 Annular EclipseBallooningZachary Owen Dickinson, Gannon University Zachary Dickinson is a Cyber engineering student at Gannon University, Erie, PA, and expected to grad- uate in May 2024. His areas of research interests include embedded systems and hardware security.Hannah Paige Jacobs, Gannon UniversitySara Jones, Gannon University ˆ Chu, Gannon UniversityDamien Thiˆen AnHunter Dawson Yaple, Gannon UniversityMr. Andrew Donald SnowdyZoey McClain, Gannon UniversityDr. Nicholas B Conklin, Gannon University Nicholas B. Conklin received a B.S. in applied
: Efforts Toward Active Learning Matthew R. Marsteller University Libraries Carnegie Mellon University Pittsburgh, PA 15213 Email: matthewm@andrew.cmu.edu Haoyong Lan University Libraries Carnegie Mellon University Pittsburgh, PA 15213 Email: haoyonglan@cmu.eduAbstractThe opportunity to introduce engineering students to technical standards literature is a
Paper ID #44643Sustainability-Focused Project-Based Learning in a Heat Transfer CourseDr. Christopher Gioia, Slippery Rock University Chris Gioia is an Assistant Professor in the Department of Engineering at Slippery Rock University. He is the faculty adviser for the Formula SAE team at SRU, and is a member of the Department curriculum committee. Dr. Gioia teaches courses in Heat Transfer, Dynamics, Machines and Mechanisms, Mechani- cal Control Systems, and Capstone Design. His research interests include control systems, cyber-physical systems, project-based learning pedagogy, heat exchangers, and biodiesel production. Dr
would not adjust for the newclock speed. This means the serial communication would be occurring at an undefined baud rateand could not be read correctly. In the future, it would be a good idea to migrate the serial communication to run in parallelwith the video streaming off a single main computer like the i5 on this payload. This would removemost of the issues encountered when using a Raspberry Pi. This would also remove the need forSSH communication between systems in the payload. The students gained a lot of insight intocommunication and automation in the construction of this payload.4. Reflections on Troubleshooting 4.1. VHF/UHF Transmitter and Receiver Working on and learning about the HASP payload project is a great opportunity
underrepresenta- tion of minority groups in computer technology programs, Effect of psychological factors in technology adoption, Use of mobile apps and emerging digital technology for interactive academic learning, and interdisciplinary and transdisciplinary research. She is also a founding member of The International As- sociation FOR Transdisciplinary Communication (AFTC). ©American Society for Engineering Education, 2024 Impact of Formative and Summative e-Assessment on Active Learning Bilquis Ferdousi School of Information Security and Applied Computing Eastern Michigan University
Paper ID #44652Towards Streamlining the Process of Building Machine Learning Modelsfor your Artificial Intelligence ApplicationsMr. Joseph George, Western Michigan UniversityDr. Ajay Gupta, Western Michigan UniversityAlvis Fong, Western Michigan University ©American Society for Engineering Education, 2024 Towards Streamlining the Process of Building Machine Learning Models for your Artificial Intelligence Applications Joseph George Department of Computer Science Western Michigan University
Paper ID #44681Quantum and Classical Supervised Learning Study of Epitaxially–GrownZnO Surface MorphologyMr. Andrew Steven Messecar, Western Michigan University Andrew Messecar is a Ph.D. candidate at Western Michigan University’s Department of Computer Sci- ence. He works with Dr. Robert Makin in the College of Engineering and Applied Sciences’ Molecular Beam Epitaxy Laboratory. His research interests include materials and process informatics, the epitaxial synthesis of novel electronic materials and devices, and the simulation of physical systems using quantum and classical computation.STEVEN DURBINRobert Makin, Western
, machine ethics, artificial in- telligence safety, biomedical applications, optimization, the chaos theory, distance education, e-learning, computer education, and computer science.Neena Goveas, University of North DakotaMr. Shree Ram Abayankar Balaji, University of North Dakota ©American Society for Engineering Education, 2024 Designing Effective Cybersecurity Curriculum: Bridging Disciplines for Next Generation Workforce Prakash Ranganathan, Jamison Jangula, Utku Kose, Neena Goveas, Shree Ram Abayankar Balaji School of Electrical Engineering & Computer Science (SEECS) University of North
Paper ID #44667Undergraduate Research Experiences for Automated and Connected VehicleAlgorithm Development using Real VehiclesDr. Chan-Jin Chung, Lawrence Technological University Chan-Jin ”CJ” Chung is a professor of computer science at Lawrence Technological University with expertise in Intelligent Robotics, Artificial Intelligence (AI), Machine Learning, Deep Learning, Evo- lutionary Computation, and Computer Science and AI education. He was a senior research scientist at Electronics and Telecommunications Research Institute (ETRI) in South Korea where he was involved in developing a digital switching system called TDX that
offering.Specifically how the course was intentionally developed to include practical applications ofindustry-standard writing and to center student learning with regular feedback and practice. Next,we break down the core concepts for autonomous vehicle engineering across engineering andcomputer science disciplines. We address the issue of prerequisites and how the class conceptswere ultimately organized and how existing university research and computer labs were utilized.Lastly, we also discuss group dynamics and techniques for ensuring course project teams havediverse majors. Our results section is primarily composed of survey results from our third courseoffering. We show the evolution of skills from the mechanical engineering students and thecomputer
. Lectures are held twice a week for 50minutes each. The project studio and computer lab sessions are scheduled for 110 minutes each,weekly. Each course component is designed with its own set of learning outcomes. All undergraduate engineering students must take ENGR127 and ENGR128. Bothcourses are 4-credit courses designed to prepare students to apply mathematical techniques toengineering problems and carry out engineering projects. In these courses, students are exposedto lectures, project studios, and computer laboratories designed to prepare students to formulateand solve engineering problems, learn about computer tools for manipulating data sets andstructured programming, electronics and circuits, practice teamwork, project management
Paper ID #44673Developing a Writing Rubric to Answer Research Questions (not forGrading!)Mr. John William Lynch, University of Cincinnati I am an engineering and computing education PhD student at the University of Cincinnati. My interests are in retention of computer science students and improving Computer Science education for undergraduates by leveraging current technology. I am also interested in exploring the links between spatial skills and computer science, particularly how they can contribute to success in computer science. My overarching goal is to increase the retention rate for studying Computer Science at all
Paper ID #44639A Comparative Study of Topic Models for Student EvaluationsJoseph Carpenter Sheils, Marshall University Joseph C. Sheils is an undergraduate researcher at Marshall University. With a background in statistics, he has conducted research on machine learning, probability theory, and natural language processing.Dr. David A Dampier, Marshall University Dr. Dave Dampier is Dean of the College of Engineering and Computer Sciences and Professor in the Department of Computer Sciences and Electrical Engineering at Marshall University. In that position, he serves as the university lead for engineering and computer
that blends traditionalclassroom instruction with practical, hands-on skills. It leverages the already robust engineeringlaboratory infrastructure housed within the College of Computer Science and Engineering. Thisintegrated approach ensures that students not only acquire theoretical knowledge but also gainvaluable experiential learning. Within the college’s facilities, students have access to a wide arrayof laboratories tailored to support interdisciplinary engineering courses. These laboratories areequipped with cutting-edge technology and resources, creating an ideal environment for hands-onskill development. Here are some of the key laboratories that play a pivotal role in enriching theeducational journey: • Industrial Control Laboratory
Paper ID #44551Walk and Draw: Digital Cartography as Artistic Practice for K-12 StudentsAndrew James Goodling, Grand Valley State UniversityDr. Erik Fredericks, Grand Valley State University Erik Fredericks is an Assistant Professor in the School of Computing at Grand Valley State University. His research focuses on exploring how uncertainty can impact self-adaptive and safety-critical systems at different levels of abstraction and how it can be mitigated by using search-based software engineer- ing techniques. Recently, he has been investigating how generative art can be automatically created via evolutionary
learningDBEL – Design-based engineering learningCAD – Computer-aided design 1 Proceedings of the 2024 ASEE North Central Section Conference Copyright © 2024, American Society for Engineering EducationIntroductionImproving the quality of education is motivation for many who pursue careers in academia, andtwo common topics that appear are active learning and student self-efficacy. Active learning putsstudents in a position where they are discovering knowledge on their own rather than passivelyreceiving information from an educator. Knowledge transfer through active learning strategieswhether it be design-based
, comparative outcomes research, and biomedical sciences. He has successfully published several peer-reviewed articles in biomedical sciences, physical medicine and rehabilitation, modeling and simulation of physiological signals, motion analysis, and engineering.Dr. Asad Salem, Marshall University ©American Society for Engineering Education, 2024 Research Learning Integration: Modeling and Simulation Analysis of Coal Fly Ash Compounds Settling in West Virginia Mohammed Ferdjallah1, and Asad Salem2 1 Department of Computer Science and Electrical Engineering 2 Department of
engineering disciplines in biomedicaleducation at the University of Melbourne [1], [2] , and the incorporation of transdisciplinaryknowledge in first-year engineering courses [3]. This paper contributes to the field ofengineering education by providing a novel approach to undergraduate learning. It showcaseshow the integration of Lean philosophy and continuous improvement strategies within the seniordesign projects can elevate the quality of engineering education. Moreover, the study highlightsthe practical implications of these methodologies in enhancing student performance, creativity,and employability, potentially serving as a model for future educational programs in engineeringand other disciplines.This Innovative approach will aim to
Paper ID #44616Converting Text Into 3D Printable BrailleDax Amburgy, Ohio Northern University College of Engineering I am a Junior Computer Science major with a concentration in Cybersecurity.Dr. John K. Estell, Ohio Northern University An active member of ASEE for over 30 years, Dr. John K. Estell was elected in 2016 as a Fellow of ASEE in recognition of the breadth, richness, and quality of his contributions to the betterment of engineering education. Estell currently serves as chair of ASEE’s IT Committee; he previously served on the ASEE Board of Directors as the Vice President of Professional Interest Councils and as
cap with 19 Ag/AgCl coated electrodespositioned in the configuration shown in Figure 2. Sixteen of these electrodes are channels ofsignals. The OpenBCI CytonDaisy was used for signal preprocessing. It includes aPIC32MX250F128B Microcontroller, two low-noise, 8-channel analog-to-digital converters fromTexas Instruments, and RFduino to transmit data to computers. Our primary research emphasis ison extracting and categorizing signal features. Employing deep learning techniques enhances theefficiency of feature extraction, encompassing both time-domain and frequency-domain aspects.Additionally, deep learning algorithms play a crucial role in strengthening classifiers like SupportVector Machine (SVM), Linear Discriminant Analysis (LDA), and
. Accessed: Jan. 26, 2024. [Online]. Available: https://peer.asee.org/work-in-progress- incorporation-of-the-entrepreneurial-mindset-into-the-introduction-to-engineering-course[2] J. Goggins, “Engineering in communities: learning by doing,” Campus-Wide Inf. Syst., vol. 29, no. 4, pp. 238–250, Jan. 2012, doi: 10.1108/10650741211253831.[3] M. Buckley, H. Kershner, K. Schindler, C. Alphonce, and J. Braswell, “Benefits of using socially- relevant projects in computer science and engineering education,” in Proceedings of the 35th SIGCSE technical symposium on Computer science education, in SIGCSE ’04. New York, NY, USA: Association for Computing Machinery, Mar. 2004, pp. 482–486. doi: 10.1145/971300.971463.[4] R. Welch and A. Estes
work.ENGR 1020 – Basic Engineering Graphics and Computer Aided Design – In their first semesterof college life, students on Day One see how business and industry value the “people” (soft)skills they will bring to the workplace (Figure 1). “Soft skills include interpersonal (people)skills, communication skills, listening skills, time management, problem-solving, leadership, andempathy, among others. They are among the top skills employers seek in the candidates they hirebecause soft skills are important for just about every job.” [9] Figure 1. First-year students learn the practical value of the communication skills taught in their engineering classes. This is an excerpt from “Why We Need Technical Writing in Engineering Classes
HODAs and including a semester-long project wherestudents proposed solutions to complex problems in aviation using CST skills. In 2022, CSTstudents used systems thinking techniques on a semester-long project to analyze the shortage ofaviation mechanics in the U.S. The students worked in small teams that proposed solutions froma variety of perspectives.This paper analyzes the goals, preparation, and execution of semester-long real-life aviationproblems in a CST course. The analysis of the in-class activities includes understanding thestudents’ and instructors’ perspectives regarding the advantages and disadvantages of combiningProblem-Based Learning (PBL) and CST methodologies in higher education. This paper aims toshed light on the
standout feature of the proposedcurriculum is the hands-on laboratory sessions, which are prepared for fluid mechanics courses.These labs are designed to provide students with direct, experiential learning opportunities. Forinstance, the Pipe Flow Experiment—a staple in fluid mechanics laboratories—will be utilized toinvestigate flow characteristics. By leveraging the small river facilities offered by the GeologyDepartment, students will have the unique advantage of combining experimental data withnatural observations and computational simulations. This integrative approach facilitates acomprehensive understanding of engineering problems within authentic environmental contexts.Some key Lab and Project examples are listed below:Pipe Flow
electronics course Elizabeth A. Thompson, Ph.D. Department of Electrical & Computer Engineering Purdue University Fort Wayne Fort Wayne, IN 46805 thompsoe@pfw.eduAbstractAn introductory power electronics undergraduate level course at Purdue University Fort Waynehas been upgraded, incorporating theoretical and simulation analyses for comparison to actualmeasured values obtained from a Lucas Nuelle Power Electronics and Drives 300 W trainingsystem. Lecture and laboratory content have been revised to more fully integrate lectures withlaboratory assignments. Close agreement between
Paper ID #44641Data Driven Methods for Improving Team Culture within Capstone CapstoneDesignMorgan Elaine Bartley, West Virginia UniversityDr. Andrew C. Nix, West Virginia UniversityDr. Brian D. Woerner, West Virginia University Brian Woerner is Professor in the Lane Department of Computer Science & Electrical Engineering at West Virginia University. He serves as co-advisor to the WVU EcoCAR team, and as a capstone design instructor. ©American Society for Engineering Education, 2024Data-Driven Methods for Improving Team Culture within Capstone Design Morgan Bartley, Andrew Nix, and Brian