Distinguished Member status (2019); the CRA A. Nico Habermann award (2018); and the Richard A. Tapia Achievement Award (2017). He is originally from San Juan, Puerto Rico.Dr. Debarati Basu, Embry Riddle Aeronautical University Dr. Debarati Basu is an Assistant Professor in the Engineering Fundamentals Department in the College of Engineering at the Embry-Riddle Aeronautical University at the Daytona Beach campus. She earned her Ph.D. in Engineering Education from Virginia Tech (VT). She received her bachelor’s and masters in Computer Science and Engineering. Her research is at the intersection of Engineering Education (EE) and Computing Education Research (CER) to advance personalized learning, specifically within the
Paper ID #40997Active Learning in an Upper Division Computer Networks CourseMahima Agumbe Suresh, San Jose State University Mahima Agumbe Suresh is an Assistant Professor at San Jose State University. She received her Ph.D. from the Department of Computer Science and Engineering at Texas A&M University in December 2015. After her Ph.D., she was a postdoctoral researcher at Xerox Research Labs, India, where she worked on crime analytics and process mining. Her research interests include edge computing, machine learning, modeling and system design for cyber-physical systems and the Internet of Things. She has published
Paper ID #41044Ten Years of Badge-Based/Mastery Learning for Computer Architecture—LessonsLearnedDr. Peter Jamieson, Miami University Dr. Jamieson is an Associate Professor in the Electrical and Computer Engineering department at Miami University. His research focuses on Education, Games, and FPGAs. ©American Society for Engineering Education, 2024 Ten Years of Badge-Based/Mastery Learning for Computer Architecture - Lessons LearnedAbstractTen years ago, we chose to implement a badge-based version of a computer architecture course.We presented a research paper [1] on this
ofattainment or understanding than users of the discrete interface (p = 0.027). Future analysis ofthe current data will explore how other dimensions impact the objective performance attainmentwith the different interfaces. Results from this study and future studies could be important in theinvestment and design of future computer-based labs and simulation experiences for activelearning classrooms.IntroductionComputer-based simulations, interactive textbook simulation exercises, and on-line courses withinteractive content have become key components of modern education, boosting student interestand learning outcomes relative to conventional lecture-based classes. Many examples of thesecomputer-based teaching tools exist, and the manner of student
Ph.D. in Computer Science from the University of Oklahoma, Norman, Oklahoma. His research focuses on diverse areas such as: D ©American Society for Engineering Education, 2024 Serious Games in Computer Engineering EducationAbstractThe purpose of a capstone design project course is to provide graduating senior students with theopportunity to demonstrate understanding of the concepts they have learned during their studies.As with many computer science and engineering programs, students of the computer engineeringprogram at Utah Valley University (UVU) conclude their degree programs with a semestercapstone design experience. The intent is for students to utilize competencies developed in thefirst
Paper ID #41341An Enhanced Learning Method Used for Datapath Design Topics in ComputerEngineering CurriculumDr. Tingjun Lei, Mississippi State University Dr. Tingjun Lei is currently a Postdoctoral Research Fellow in the Department of Electrical and Computer Engineering at the Mississippi State University (MSU). He received his Ph.D. degree in electrical and computer engineering with the Department of Electrical and Computer Engineering, Mississippi State University, Mississippi State, MS, USA., in 2023, his M.S. degree in electrical and computer engineering from the New York Institute of Technology, Old Westbury, NY, USA
autonomous systems, human robot interaction, deep learning, intelligent transportation systems, and evolutionary computation.Timothy Sellers, Mississippi State University Timothy Sellers received the B.S. degree in robotics and automation technology and applied science in electro-mechanical engineering from the Alcorn State University, Lorman, MS, USA in 2020. He is currently pursuing a Ph.D. degree in the Department of Electrical and Computer Engineering at Mississippi State University, Mississippi State, MS, USA. He is currently a Graduate Teaching Assistant for Senior Design II (ECE4542/ECE4522) and was for Advance Circuits (ECE3434) at the undergraduate level and as guest lecturer delivered graduate-level courses
AR environment that promotes the earlycultivation of computational thinking. Children in K-2 were tasked with walking on a floor matdesigned as a 5x5 chessboard, assisting a robot named Linibot in navigating a path to a destinationwhile holding a tablet. Linibot provided guidance through instructions, cues, and feedback,encompassing corrections and motivational encouragement. The tablet concurrently displayed acorresponding map and AR obstacles for the child to navigate around. The key learning objectives of this study were to enhance children's foundational STEMproblem-solving skills, specifically focusing on their comprehension of symbols and sequencesapplicable across various STEM domains, and to boost their confidence in utilizing
Paper ID #41340(Board 57/Work in Progress) Immersive Learning: Maximizing ComputerNetworks Education Based on 3D Interactive AnimationsYixin Zhang, University of Toronto Yixin Zhang is an undergraduate student in computer engineering at the University of Toronto (graduating in May 2024). Her research interests include computer networks and digital communications.Hanzhang XingYaqi Zhang, University of Toronto An ECE student from university of Toronto.Xinyan Du, University of Toronto Xinyan Du is a fourth-year Computer Engineering student at the University of Toronto. She is proficient with C, C++, Python, SQL, and
Paper ID #43103Board 60: Work in Progress: Student Perspectives of Collaborative LearningTechniques (CoLT) in Introductory Computing ClassesDr. Lisa Cullington, Sacred Heart University Lisa Cullington, Ph.D. is an educational researcher with expertise in academic program development, learning outcomes, and educational assessment best practices. She focuses on building and evaluating academic programs that promote inclusive excellence for all learners. Currently, Dr. Cullington serves as the Associate Provost of Academic Programs at Sacred Heart University. Previously, she was the Founding Co-Chair of the Honors Program at
Paper ID #42957Transforming Pedagogical Assessment: AI and Computer Vision-EnhancedClassroom Observations for Experiment-Centric Learning EnvironmentsMs. Blessing Isoyiza Adeika, Morgan State University Blessing ADEIKA is a Doctoral student at Morgan State University currently in the Doctor of Engineering Program. She has an interest in teaching student basic concepts by adopting an Experiment-centric approach to it. She also is currently working towards being a Data Scientist - AI/ML Expert and hopes to use her skills to proffer solutions in the Medical, Financial, Technology and any other Sector she sees a need to be
Paper ID #44303Reflections on 10 years of Operating a Computer-based Testing Facility: LessonsLearned, Best PracticesDr. Jim Sosnowski, University of Illinois Urbana-Champaign Jim Sosnowski is the Assistant Director of the Computer-Based Testing Facility (CBTF) at the University of Illinois Urbana-Champaign.Dr. Julie M Baker, University of Illinois Urbana-Champaign Julie Baker is a Learning Design Specialist for the Applied Technologies for Learning in the Arts and Sciences (ATLAS) group in the College of Liberal Arts and Sciences (LAS). She helps LAS faculty implement best practices for computer-based assessment and
Paper ID #44324Tactile Learning: Making a Computer Vision Course Accessible throughTouched-Based InterfacesDr. Seth Polsley, University of Nebraska, Lincoln Dr. Seth Polsley is an Assistant Professor of Practice in the Jeffrey S. Raikes School of Computer Science and Management at the University of Nebraska–Lincoln, with his academic home in the School of Computing. His research focuses on the combination of intelligent systems design and human-computer interaction in order to support novel educational and universal computing experiences.Ms. Amanda Kate Lacy Amanda Lacy is a PhD student at Texas A&M University in the
, and PRIS, etc. He has extensively published journal and conference papers in engineering education and robotics fields. His research interests include engineering education, robotics and autonomous systems, human robot interaction, deep learning, and computational intelligence.Dr. Tingjun Lei, Mississippi State University Dr. Tingjun Lei is currently a Postdoctoral Research Fellow in the Department of Electrical and Computer Engineering at the Mississippi State University (MSU). He received his Ph.D. degree in electrical and computer engineering with the Department of Electrical and Computer Engineering, Mississippi State University, Mississippi State, MS, USA., in 2023, his M.S. degree in electrical and computer
Paper ID #41046The Forgotten Horseman: Digital Implementation of Arithmetic Division andResources to Learn and Teach Its ComplexitiesDr. Peter Jamieson, Miami University Dr. Jamieson is an associate professor in the Electrical and Computer Engineering department at Miami University. His research focuses on Education, Games, and FPGAs.Nathaniel David Martin, Miami University ©American Society for Engineering Education, 2024 The Forgotten Horseman - Digital Implementation of Arithmetic Division and Resources to Learn and Teach Its ComplexitiesAbstractOf the four arithmetic functions, Division is the
. Introduction1.1 Exploring Frontier of Interaction: Human-Computer Interface in Virtual RealityVirtual Reality (VR) is a groundbreaking innovation that transcends traditional boundaries be-tween the physical and digital realms [1,2]. The COVID-19 pandemic has accelerated the shiftfrom in-person to remote learning, making VR more significant in education [3,4,5]. A compre-hensive VR system consists of five elements: VR engine, software & database, input/output de-vices, users, and tasks. The system unfolds across three layers: system, middle (input/output de-vices), and application[6].As the necessary components of middle layer in VR system, the Human-Computer Interface (HCI)is crucial in VR. They facilitate the interaction between users and
.” Accessed: Mar. 26, 2024. [Online]. Available: https://dl.acm.org/doi/abs/10.1145/3610978.3640574[7] S. Dutta, T. Banerjee, N. D. Roy, and B. Chowdhury, “Development of a BCI-Based Application Using EEG to Assess Attentional Control,” in Proceedings of the Global AI Congress 2019, J. K. Mandal and S. Mukhopadhyay, Eds., in Advances in Intelligent Systems and Computing. Singapore: Springer, 2020, pp. 659–670. doi: 10.1007/978-981-15-2188- 1_52.[8] E. H. Houssein, A. Hammad, and A. A. Ali, “Human emotion recognition from EEG-based brain–computer interface using machine learning: a comprehensive review,” Neural Comput & Applic, vol. 34, no. 15, pp. 12527–12557, Aug. 2022, doi
. Specific skills developed include computerprogramming in Python, basics of electrical circuits, integrating computer hardware andsoftware, computer networking, and cyber security. Campers were introduced to computingcareers and majors through presentations and guest speakers during the Lunch and Learn time.At the end of the week, teams of campers applied these skills to an Internet of Things-themedCapstone project, which they presented to their peers and parents.Pre- and post-surveys, daily reflections, and structured interviews were collected to establishcontinuous improvements for the program and to further our understanding of how to betterprepare high school students to choose disciplines of study. Triangulation of the multiple sourcessupports
) campus.They found six themes emerging from their participants’ experiences: finding comfort, buildingcommunity, fitting in, experiencing frustration, overcoming imposter syndrome, and valuingmentorship [2].No studies were identified within the United States where all goals of photovoice (listed above)were implemented. One study, conducted in Scotland, was found in which researchers were usingphotovoice to study the transition journey of transfer students transitioning from 2-year collegedegrees to the School of Computing at a university [7]. Perez has proposed that the communityshould consider conducting a study that uses photovoice to understand the experiences of youthand their families in integrating computing into their learning schedule [8]. The
Microsoft’s Technology Education and Learning Support (TEALS)1,Google’s CS Research Mentorship Program (CSRMP)2 and Meta University3, among others.Motivated by prior works’ calls for additional research on effective diversity programs intechnology [21] and the links between programs’ design choices and students’ affectiveoutcomes [22], our work investigates how specific features of a CS-specific support programcontributed to the social capital and persistence in CS of students whose identities areunderrepresented in CS. More specifically, we investigate the impact of students’ participation inGoogle’s Computer Science Summer Institute (CSSI): a 3-week-long program where graduatinghigh school students from historically underrepresented groups in CS
Paper ID #41707Work in Progress: Understanding Differential Experiences of Identity in ComputingEnvironments Using a Computing Privilege InventoryCecil´e Sadler, Massachusetts Institute of Technology Cecil´e Sadler is a PhD student at the Massachusetts Institute of Technology in the MIT Media Lab with the Lifelong Kindergarten group. Her interests lie at the intersection of computing and education in designing equitable learning environments that cultivate creativity through technology-mediated creative learning experiences. She focuses on investigating how computing can be leveraged to create spaces for Black and brown
, and to take students to women in computing events. Dr. Villani has been active publishing and presenting these experiences in an effort to share within the research community and to ultimately broaden participation. Dr. Villani is the co-advisor of the Supporting Women in Computing Club where she has mentored many women students in the program. Dr. Villani is the recipient of the Chancellor’s Award for Teaching Excellence, 2012. Prior to joining FSC, Dr. Villani had a 15 year computer consulting career in the Risk Management and Insurance Industry.Dr. Lisa Cullington, Sacred Heart University Lisa Cullington, Ph.D. is an educational researcher with expertise in academic program development, learning outcomes and
) develop strategies to besuccessful in computing, and iii) develop career plans and explore resources. To achieve theseobjectives, we designed a set of course-specific mentoring activities. In our initiative, we formeda group of mentors composed of successful alumni, graduate students, senior students, industrialpersonnel, and faculty of different races, genders, and ethnicities.We performed anonymous surveys, interviews, and reflections to answer our second researchquestion. We also analyzed students' course performance. Results show that mentoring improvesthe sense of belonging and confidence for both groups of students. Data also indicates first-yearstudents prefer mentoring to succeed academically (e.g., learning programming). On the otherhand
Paper ID #43957A Powerful Labs Environment for Computer Science CoursesDr. Chi Yan Daniel Leung, zyBooks, A Wiley Brand Chi Yan (Daniel) Leung is the Content Software Engineer (Labs lead) at zyBooks. He oversees the content creation and maintenance of labs across different titles at zyBooks. Before joining zyBooks, he was a lecturer at the School of Engineering at the University of California at Merced. He received his Ph.D. in Computer Vision from the University of California at Merced.Joseph Mazzone, zyBooks, A Wiley BrandMs. Efthymia Kazakou, zyBooks, A Wiley Brand Efthymia Kazakou is Sr. Assessments manager at zyBooks
National Institute for Deterrence Studies. ©American Society for Engineering Education, 2024 Characterizing Computing Students' Use of Generative AIAbstractWhile the discussion of Generative AI in education has been centered on academic integrity anduses in learning contexts from a teacher and administrator perspective, there is less workunderstanding students’ adoption, use, and perspectives on this new technology.This paper reports on a survey of 371 US college students taking computing courses. We firstasked what services are being used, how much they are paying for them, what they are usingthem for, and how long they have been using AI. We dig further into their use of AI tools in theirschoolwork by
. His research focuses on diverse areas such as: D ©American Society for Engineering Education, 2024 Smart System Projects in Computer Engineering ProgramAbstractThe purpose of capstone design project courses is to provide graduating senior students with theopportunity to demonstrate understanding of the concepts they have learned during their studiesand to apply their professional skills and knowledge in a single experience and prepare them forwork in industry. As with many computer science and engineering programs, students of thecomputer engineering program at Utah Valley University (UVU) conclude their degree programswith a semester capstone design experience. The intent is for students to utilize
. Beaudin and D. Quick. “Experiential learning: Theoretical underpinnings,” Fort Collins, CO: Colorado State University, High Plains Intermountain Center for Agricultural Health and Safety. 1995.[4] J. Moeller and A. Mokaddem, “A tool for learning Mohr's circle,” International Journal of Mechanical Engineering Education, vol. 29, pp. 53-72, Jan. 2001.[5] J. Y. Lee, H. R. Ryu, and Y. T. Park, “Finite Element Implementation for Computer-Aided Education of Structural Mechanics: Mohr’s Circle and Its Practical Use,” Computer Applications in Engineering Education, vol. 22, pp. 494-508. Sept. 2011.[6] S. Bodkhe. 3D Stress Transformation and Mohr’s Circle. Available: https://www.mathworks.com/matlabcentral
Paper ID #41930Improving Efficiency and Consistency of Student Learning Assessments: ANew Framework Using LaTeXDr. Ira Harkness, University of Florida Ira Harkness is an Instructional Assistant Professor in the Department of Materials Science and Engineering. He has two decades experience in higher education, including directing information technology and facilities efforts at UF, and working with non-profits and community organizations to address K-12 education. His expertise is in computational nuclear engineering and nuclear engineering education.Prof. Justin Watson ©American Society for
Paper ID #44435Leveraging the CARE Methodology to Enhance Pedagogical and InstitutionalSupport for Blind or Low-Vision (BLV) Learners in Electrical and ComputerEngineering (ECE)Aya Mouallem, Stanford University Aya Mouallem (she/her) is a PhD candidate in Electrical Engineering, minoring in Education, at Stanford University. She received a BEng in Computer and Communications Engineering from the American University of Beirut. Aya is a graduate research assistant with the Designing Education Lab at Stanford, led by Professor Sheri Sheppard, and her research explores the accessibility of introductory engineering education
States.Undergraduate students in the department of electrical and computer engineering and thedepartment of computer science at this institution are expected to complete these courses in their3rd year of study. In terms of structure, the course had 12 weekly online assignments and 3examinations. The course also had a laboratory component with students completing 8laboratories during the semester.This course was designed by the instructor for a face-to-face delivery with initial syllabi andstudent learning objectives provided by the department (the course was not a new course to theinstitution prior to delivery by this instructor). Details regarding the design and differencesbetween styles of delivery as the courses evolved from face-to-face to asynchronous to