ASEE PEER - Search Results

Displaying results 31 - 60 of 135 in total

Moving from Matlab to Python in a First-Year Engineering Programming Course: Comparison of Student Achievement and Assessment of Self-Learning

Conference Session: Programming Education 2
Collection: 2024 ASEE Annual Conference & Exposition
Authors: Robert Scott Pierce P.E., Western Carolina University; Chaitanya Borra, Western Carolina University
Tagged Divisions: Computers in Education Division (COED)

Paper ID #43386Moving from Matlab to Python in a First-Year Engineering ProgrammingCourse: Comparison of Student Achievement and Assessment of Self-LearningDr. Robert Scott Pierce P.E., Western Carolina University Robert Scott Pierce is an Associate Professor of Engineering and Technology at Western Carolina University. He received his Ph.D. in mechanical engineering from Georgia Tech in 1993. Prior to his teaching career, he spent 14 years in industry designing automated positioning equipment.Dr. Chaitanya Borra, Western Carolina University ©American Society for Engineering Education, 2024

Relevance Score: 0.19871996

Development of a Research-Based Course on Machine Learning and Robotics for Undergraduate Engineering Students at Hampton University

Conference Session: COED: AI and ML Topics
Collection: 2023 ASEE Annual Conference & Exposition
Authors: Zhao Sun, Hampton University; Laura Camila Peralta; Myles Anthony Ragins; Niara Renee Chaney
Tagged Divisions: Computers in Education Division (COED)

ML-based path planning, navigation, and control of autonomous vehicles. 2. Introduction to Machine Learning and Robotics (4 credits) This part covers the fundamentals of machine learning and robotics, including the history and development of the field, the different types of machine learning and robotics, and the current applications of the technology. For this part, students use IBM AI/ML online course as a self-study tool to have better understanding of the fundamental and concepts taught in the lectures. © American Society for Engineering Education, 2023 2023 ASEE Midwest Section Conference 3. Machine Learning Algorithms (15 credits

Relevance Score: 0.19689998

Board 50: Work in Progress: A Systematic Review of Embedding Large Language Models in Engineering and Computing Education

Conference Session: Computers in Education Division (COED) Poster Session
Collection: 2024 ASEE Annual Conference & Exposition
Authors: David Reeping, University of Cincinnati; Aarohi Shah, University of Cincinnati
Tagged Divisions: Computers in Education Division (COED)

"Engineering")This search string yielded 717 papers, which were collected in September 2023. We used Arxiv, apopular preprint repository, to retrieve papers because, at the time, it was anticipated that manypapers about LLMs in education would not have passed peer review or been published yet.Moreover, the "correctness" of the results was not of concern at this stage; we were interested inwhich applications were garnering interest to explore through a research lens.To determine which papers were relevant, we evaluated them against the following two criteria:(1) the paper included reference to an LLM like ChatGPT in an educational setting, and (2) theeducational setting was science, technology, engineering, or mathematics (STEM). Following thefirst

Relevance Score: 0.19630675

Effect of Automated Instantaneous Feedback, Unlimited Submission Attempts, and Optional Exercises on Student Engagement, Performance, and Academic Integrity in an Introductory Computer Programming Course for Engineers

Conference Session: COED: Grading Systems
Collection: 2023 ASEE Annual Conference & Exposition
Authors: Marko V. Lubarda, University of California, San Diego; Alex M. Phan, University of California, San Diego; Aidan Daniel Carrigg; Karthik Srinivasan; Josephine Relaford-Doyle, University of California, San Diego
Tagged Topics: Diversity
Tagged Divisions: Computers in Education Division (COED)

Paper ID #36789Effect of Automated Instantaneous Feedback, Unlimited SubmissionAttempts, and Optional Exercises on Student Engagement, Performance, andAcademic Integrity in an Introductory Computer Programming Course forEngineersMarko V. Lubarda, University of California, San Diego Marko V. Lubarda is an Assistant Teaching Professor in the Department of Mechanical and Aerospace Engineering at the University of California, San Diego. He teaches mechanics, materials science, design, computational analysis, and engineering mathematics courses, and has co-authored the undergraduate textbook Intermediate Solid Mechanics (Cambridge

Relevance Score: 0.17176767

Implementation and Evaluation of a Predictive Maintenance Course Utilizing Machine Learning

Conference Session: COED: AI and ML Topics
Collection: 2023 ASEE Annual Conference & Exposition
Authors: Jonathan Adam Niemirowski, Louisiana Tech University; Krystal Corbett Cruse, Louisiana Tech University; David Hall, Louisiana Tech University
Tagged Divisions: Computers in Education Division (COED)

, 122), and various electives in machine learning for engineering students (ENGR 489). His doctoral research is on incorporating ma- chine learning topics into the engineering curriculum, providing a foundation for engineers to utilize the technology in their work fields, and developing a framework to assist other educators in expanding ML content in their courses.Ms. Krystal Corbett Cruse, Louisiana Tech University Dr. Krystal Corbett is the First-Year Engineering Programs Coordinator and Assistant Professor in the Mechanical Engineering Department at Louisiana Tech University. She is also the Co-Director of the Office for Women in Science and Engineering at Louisiana Tech.Dr. David Hall, Louisiana Tech University

Relevance Score: 0.023460303

Computational Thinking Pedagogical + Framework for Early Childhood Education

Conference Session: COED: Computing in K-12 / Early Childhood Education
Collection: 2023 ASEE Annual Conference & Exposition
Authors: Safia Malallah, Kansas State University; Lior Shamir, Kansas State University; William Henry Hsu, Kansas State University; Joshua Levi Weese, Kansas State University; Salah Alfailakawi, Kansas State University
Tagged Divisions: Computers in Education Division (COED)

State University Associate professor of computer science at Kansas State University.Dr. William Henry Hsu, Kansas State University William H. Hsu is an associate professor of Computing and Information Sciences at Kansas State Univer- sity. He received a B.S. in Mathematical Sciences and Computer Science and an M.S.Eng. in Computer Science from Johns Hopkins University in 1993, and a PhJoshua Levi Weese, Kansas State University Dr. Josh Weese is a Teaching Assistant Professor at Kansas State University in the department of Com- puter Science. Dr. Weese joined K-State as faculty in the Fall of 2017. He has expertise in data science, software engineering, web technologies, computer science education research, and

Relevance Score: 0.023157068

Board 58: WIP: Enhancing Workforce Development of Data Science Skills within Domain-Specific Programs

Conference Session: Computers in Education Division (COED) Poster Session
Collection: 2023 ASEE Annual Conference & Exposition
Authors: Ryan L. Solnosky P.E., Pennsylvania State University; Rebecca Napolitano; Wesley F. Reinhart, Pennsylvania State University
Tagged Divisions: Computers in Education Division (COED)

reliance on cloud computing and big data will continuously increase, andnew data-centric technologies and engineering approaches will be developed. Due to this rapidlydeveloping field, there is a need to track these trends and incorporate the corresponding developments intoour current science and engineering curriculum. Besides data science skills already taught in traditionalengineering curricula, such as mathematical, computational, and statistical foundations, the NationalAcademies guide discusses that key concepts in developing data acumen include domain-specificconsiderations and ethical problem-solving. This work-in-progress (WIP) paper will highlight the foundation of a comprehensive study toexplore data science education in two

Relevance Score: 0.022427758

Assessment of the Utilization of Open Educational Resources during and after the Pandemic

Conference Session: COED: Online and Remote Learning
Collection: 2023 ASEE Annual Conference & Exposition
Authors: Janardhanan Gangathulasi, National Institute of Technical Teachers Training and Research, Chennai, India; Shanmuganeethi Velu, P.E.; P. Malliga; Dinesh Kumar K.S.A.
Tagged Divisions: Computers in Education Division (COED)

University, India. He extensively traveled within and abroad for technical lectures viz., USA, Germany, Belarus, China, Hong Kong, Thailand, Malaysia, Singapore.Dr. Shanmuganeethi Velu, P.E., Dr. V.Shanmuganeethi, Professor, Department of Computer Science and Engineering. He has been work- ing in the domain of Education Learning Analytics, web technologies, programming Paradigm, Instruc- tional technologies and Teaching aˆ C” Learning PraDr. P. MalligaDr. Dinesh Kumar K.S.A. Dr. K S A Dineshkumar, Assistant Professor, Department of Civil Engineering. He has been working in the domain of Structural Engineering, Geographical Information System, Sustainable development, Smart City, Instructional technologies and Teaching

Relevance Score: 0.022243887

Student Preferences and Performance in Active Learning Online Environments

Conference Session: Spotlight on Diverse Learners
Collection: 2024 ASEE Annual Conference & Exposition
Authors: Minkyung Lee, Pennsylvania State University; Stephanie Cutler, Pennsylvania State University; Sarah E Zappe, Pennsylvania State University; Sam Spiegel, Colorado School of Mines; Ibukun Samuel Osunbunmi, Pennsylvania State University
Tagged Divisions: Computers in Education Division (COED)

Paper ID #43097Student Preferences and Performance in Active Learning Online EnvironmentsMinkyung Lee, Pennsylvania State University Minkyung Lee is a doctoral candidate in the Department of Learning and Performance Systems at Penn State University and serves as a Graduate Assistant at the Leonhard Center, an engineering education center at Penn State. Her academic journey and professional contributions reflect her dedication to the field of educational technology and design.Dr. Stephanie Cutler, Pennsylvania State University Dr. Stephanie Cutler has degrees in Mechanical Engineering, Industrial and Systems Engineering

Relevance Score: 0.021778302

Student Perceptions of Learning Models in First-Year Programming Courses

Conference Session: COED Programming Education 1: Students, Motivation, and Mastery
Collection: 2023 ASEE Annual Conference & Exposition
Authors: David M. Feinauer, P.E., Virginia Military Institute; Runna Alghazo, Prince Mohammad Bin Fahd University, Saudi Arabia; Jaafar M. Alghazo, Virginia Military Institute; Sherif Abdelhamid, Virginia Military Institute; James C. Squire, P.E., Virginia Military Institute
Tagged Topics: Diversity
Tagged Divisions: Computers in Education Division (COED)

technology, curriculum and instruction, leadership, and technical writing pedagogy.Dr. Jaafar M. Alghazo, Virginia Military Institute Dr. Jaafar Alghazo is an Associate Professor in Electrical and Computer Engineering at the Virginia Military Institute. He graduated from Southern Illinois University with a Ph.D in Engineering Sci- ence/Computer Engineering in 2004 and M.Sc. in Electrical and Computer Engineering in 2000 from the same university. He worked at the American University in Dubai, the University of Central Florida, and Prince Mohammad Bin Fahd University before joining the Virginia Military Institute as a Tenure Track faculty member. His research interests are in Machine Learning and Artificial Intelligence

Relevance Score: 0.021582998

Machine Learning Tools in the Technical Writing Classroom: A Modular Approach

Conference Session: ML and Generative AI Tools and Policies
Collection: 2024 ASEE Annual Conference & Exposition
Authors: Alyson G. Eggleston, Pennsylvania State University; Robert J. Rabb P.E., Pennsylvania State University
Tagged Divisions: Computers in Education Division (COED)

; (3) boundaries around AI use, with some calling for aninternational regulation [7-9].Everybody’s Doing ItWhile scholars argue about what ‘authorship’ even means in the age of LLMS [10], what is clearis that STEM practitioners have been early adopters of this technology. Healthcare and medicalscientists warn that LLM-driven AI is an “experimental technology that is not ready for primetime,” [11-12] in the sense that it can only augment human decision making if it iterates within“an ethical, technical, and cultural framework for responsible design, development, anddeployment.”LLMs and Engineering EducationSelected educators are advocating for the use of transparent LLM-assisted report writing, findingmixed results and some benefits for

Relevance Score: 0.021114372

Board 65: Work in Progress: Using Natural Language Processing to Facilitate Scoring of Scenario-Based Assessments

Conference Session: Computers in Education Division (COED) Poster Session
Collection: 2023 ASEE Annual Conference & Exposition
Authors: Matthew Norris, Virginia Tech; Hamidreza Taimoory, Virginia Polytechnic Institute and State University; Andrew Katz, Virginia Polytechnic Institute and State University; Jacob R Grohs, Virginia Polytechnic Institute and State University
Tagged Divisions: Computers in Education Division (COED)

Paper ID #39463Board 65: Work in Progress: Using Natural Language Processing toFacilitate Scoring of Scenario-Based AssessmentsMatthew Norris, Virginia Tech Matthew Norris is a PhD student and Graduate Research Assistant in the Department of Engineering Education at Virginia Tech.Mr. Hamidreza Taimoory, Virginia Polytechnic Institute and State University Hamidreza is a Ph.D. student in Engineering Education and has a master’s degree in industrial engineering at Virginia Tech (VT). He has worked in the industry as a research and development engineer. He is currently a data analyst in TLOS (Technology-Enhanced Learning

Relevance Score: 0.020666175

KarmaCollab: A Communication Platform For Collaborative Learning

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)

Paper ID #36723KarmaCollab: A Communication Platform For Collaborative LearningDamitu Robinson, University of California, DavisMr. Nicholas Hosein Nicholas is a PhD candidate at the University of California Davis with a background in computer ar- chitecture, algorithms and machine learning. His current focus is advancing the electrical engineering curriculum at UC Davis to be more industry relevant inProf. Andre Knoesen, University of California, Davis Andre Knoesen received his Ph.D. degree from the Georgia Institute of Technology, Atlanta, in 1987. He is currently a Professor in the Department of Electrical Engineering

Relevance Score: 0.020510193

ChatGPT and Me: Collaborative Creativity in a Group Brainstorming with Generative AI

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)

Paper ID #43798ChatGPT and Me: Collaborative Creativity in a Group Brainstorming withGenerative AIMr. Han Kyul Kim, University of Southern California Han Kyul Kim is a Ph.D. student in the Department of Industrial and Systems Engineering at the University of Southern California. He earned his M.S. in Industrial Engineering from Seoul National University and holds B.S. degrees in Industrial & Systems Engineering and Business and Technology Management from KAIST. Previously, he worked as a data scientist and software engineer at Deloitte Consulting, Samsung Electronics, and Seoul National University Hospital. His

Relevance Score: 0.019824162

Board 58: Work in Progress: Iron Coder: An Integrated Development Environment for Embedded Development in Rust

Conference Session: Computers in Education Division (COED) Poster Session
Collection: 2024 ASEE Annual Conference & Exposition
Authors: Carsten Monrad Thue-Bludworth, University of Florida; Jeremiah J Blanchard, University of Florida
Tagged Divisions: Computers in Education Division (COED)

intellectuallychallenging professional endeavor, to one of today’s most accessible realms of computing [4].The rapid success and growth of hobby development boards has had a significant impact oncomputer science and engineering education, with physical computing used to inspire and excitenew developers [5]. The availability of low-cost, high-performance development boards isaccelerating the development of novel technologies and finding use in a variety of industries suchas the IoT, industrial automation, connected infrastructure and agriculture, and edge-AI [6]. Thisso-called “fourth industrial revolution” has the potential to significantly impact the future of ourworld [7].As a rapidly growing field that is likely to highly influence our lives, the safety

Relevance Score: 0.019786904

Board 60: Work in Progress - Development and implementation of a virtual reality application in high school geometry education.

Conference Session: Computers in Education Division (COED) Poster Session
Collection: 2023 ASEE Annual Conference & Exposition
Authors: Chinyere Offor, Lincoln University of Pennsylvania; Tiffanie R Smith, Lincoln University
Tagged Divisions: Computers in Education Division (COED)

Professor of Computer Science at Lincoln University of PA. She received her Ph.D. in Human Centered Computing from the University of Florida in the Depart- ment of Computer and Information Sciences and Engineering in 2019 . Her research interests include educational technologies, embodied learning, culturally relevant education, and broadening minority par- ticipation in STEM. ©American Society for Engineering Education, 2023Development and Implementation of a Virtual Reality Application in HighSchool Geometry EducationIntroduction and GoalThe average Geometry classroom is too traditional in its teaching methods. The emphasis onnumeracy, arithmetic and algebraic reasoning has caused many a student to

Relevance Score: 0.019529765

Automated Grading with Rapid Feedback for SOLIDWORKS Files

Conference Session: Computer-Supported Pedagogy and Assessment
Collection: 2024 ASEE Annual Conference & Exposition
Authors: Keith Hekman, California Baptist University
Tagged Divisions: Computers in Education Division (COED)

Paper ID #42730Automated Grading with Rapid Feedback for SOLIDWORKS FilesDr. Keith Hekman, California Baptist University Dr. Keith Hekman is a full professor in Mechanical Engineering. He has been at California Baptist University for since 2008. Prior to teaching at CBU, he taught at Calvin College and the American University in Cairo. His Ph.D. is from the Georgia Institute of Technology ©American Society for Engineering Education, 2024 Automated Grading with Rapid Feedback for SOLIDWORKS FilesAbstractSOLIDWORKS is a frequently used CAD program in various

Relevance Score: 0.019332418

Board 46: Integrating AI in Higher-Education Protocol for a Pilot Study with ’SAMCares An Adaptive Learning Hub'

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)

Paper ID #44040Board 46: Integrating AI in Higher-Education Protocol for a Pilot Study with’SAMCares An Adaptive Learning Hub’Syed Hasib Akhter Faruqui, Sam Houston State University Assistant Professor, Department of Engineering TechnologyNazia Tasnim, University of Texas at AustinDr. Iftekhar Ibne Basith, Sam Houston State University Dr. Iftekhar Ibne Basith is an Associate Professor in the Department of Engineering Technology at Sam Houston State University, Huntsville, TX, USA. Dr. Basith has a Ph.D and Masters in Electrical and Computer Engineering from University of Windsor, ON,Dr. Suleiman M Obeidat, Texas A&M

Relevance Score: 0.01902308

A Department’s Syllabi Review for LLM Considerations Prior to University-standard Guidance

Conference Session: ML and Generative AI Tools and Policies
Collection: 2024 ASEE Annual Conference & Exposition
Authors: Lucas J. Wiese, Purdue University at West Lafayette; Alejandra J. Magana, Purdue University at West Lafayette
Tagged Divisions: Computers in Education Division (COED)

Paper ID #42501A Department’s Syllabi Review for LLM Considerations Prior to University-standardGuidanceLucas J. Wiese, Purdue University at West Lafayette Lucas Wiese is a PhD student in Computer and Information Technology at Purdue University. He studies AI ethics education and workforce development and works in the Research on Computing in Engineering and Technology Education lab (ROCkETEd) and the Governance and Responsible AI Lab (GRAIL).Dr. Alejandra J. Magana, Purdue University at West Lafayette Alejandra J. Magana, Ph.D., is the W.C. Furnas Professor in Enterprise Excellence in the Department of Computer and

Relevance Score: 0.018979575

Active Project: Supporting Young Children’s Computational Thinking Skills Using a Mixed-Reality Environment

Conference Session: COED: Computing in K-12 / Early Childhood Education
Collection: 2023 ASEE Annual Conference & Exposition
Authors: Jaejin Hwang, Northern Illinois University; sungchul lee, Sun Moon University, South Korea; Yanghee Kim; Mobasshira Zaman, Northern Illinois University; Sobhit Pokhrel
Tagged Divisions: Computers in Education Division (COED)

stimuli. In this project, he will lead multimodal behavioral data collection, processing, and analyses to assess children’s learning and affective behaviors.sungchul lee, Sun Moon University, South KoreaYanghee KimMobasshira Zaman, Northern Illinois UniversitySobhit Pokhrel ©American Society for Engineering Education, 2023Supporting Young Children’s Computational Thinking Skills Using a Mixed-Reality Environment Jaejin Hwang1*, Sungchul Lee2, Yanghee Kim3, Mobasshira Zaman1, and Sobhit Pokhrel1 1 Department of Industrial and Systems Engineering, College of Engineering and Engineering Technology, Northern Illinois University, DeKalb, IL 2 Division of Computer Science

Relevance Score: 0.018975295

Surveying the Importance of Integrating Technical Interviews into Computer Science Curriculums and Increasing Awareness in the Academy

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)

portion of the event, students had theopportunity to ask the recruiters and engineers questions one-on-one.2.8 Career Center Initiatives with the Technical Interview Process - Category 4Cornell University [6], Dartmouth University [7], Massachusetts Institute of Technology [17],Northeastern University [18], and Yale University [27] demonstrate a more indirect approach totechnical interview preparation by providing online content and direct links to external sourcesthat can aid in students’ preparation. Similarly, the University of Massachusetts Amherst embedsthese materials directly on their College of Information & Computer Sciences careers webpage[24]. On the other hand, Rensselaer Polytechnic Institute’s (RPI) Center for Career

Relevance Score: 0.018700518

Constructing Reconfigurable and Affordable Robotic Arm Platform to Teach Robotics and Automation

Conference Session: Robotics and Circuits
Collection: 2024 ASEE Annual Conference & Exposition
Authors: Carl Joseph Murzynski, Pennsylvania State University, Behrend College; Hussein - Abdeltawab, Wake Forest University; Omar Ashour, Pennsylvania State University, Behrend College; Ahmed Sammoud, Pennsylvania State University, Behrend College
Tagged Topics: Diversity
Tagged Divisions: Computers in Education Division (COED)

, The Behrend College. Dr. Ashour received the B.S. degree in Industrial Engineering/Manufacturing Engineering and the M.S. degree in Industrial Engineering from Jordan University of Science and Technology (JUST) in 2005 and 2007, respectively. He received his M.Eng. degree in Industrial Engineering/Human Factors and Ergonomics and a Ph.D. degree in Industrial Engineering and Operations Research from The Pennsylvania State University (PSU) in 2010 and 2012, respectively. Dr. Ashour was the inaugural recipient of William and Wendy Korb Early Career Professorship in Industrial Engineering in 2016. Dr. Ashour’s research areas include data-driven decision-making, modeling and simulation, data analytics, immersive

Relevance Score: 0.018628817

Board 57: WIP - A Web-based Face Recognition Application for Better In-Person Learning

Conference Session: Computers in Education Division (COED) Poster Session
Collection: 2023 ASEE Annual Conference & Exposition
Authors: Shirley Qin, University of Toronto; Jiawei Tian, University of Toronto; Yuqi Yang; Qian Guo, University of Toronto; Junhao Liao, University of Toronto; Hamid S. Timorabadi, University of Toronto
Tagged Divisions: Computers in Education Division (COED)

of Toronto. He is interested in software programming and electrical systems. He is proficient with C/C++, Java and SQL and familiar with JavaScript, Verilog and Assembly.Yuqi YangMiss Qian Guo, University of Toronto Qian Guo is a fourth year Electrical Engineering student at University of Toronto. Previously, she worked as a Quality Analyst in SS&C Technologies. She is interested in software programming. She is proficient with C, C++ and Python and familiar with PSQL, Intel FPGA Verilog and ARM Assembly.Mr. Junhao Liao, University of Toronto Junhao Liao holds a Computer Engineering Bachelor degree from University of Toronto. Previously, he worked as a Teaching Assistant at University of Toronto. He is

Relevance Score: 0.018567882

Board 51: Work in Progress: Cognitive and Emotional Effects of the Video Game Freedom Bridge.

Conference Session: Computers in Education Division (COED) Poster Session
Collection: 2024 ASEE Annual Conference & Exposition
Authors: Samuel Opeyemi Falade, Texas A&M University; Kristi J. Shryock, Texas A&M University; Michael S Rugh, Texas A&M University; Andre Thomas, Texas A&M University
Tagged Divisions: Computers in Education Division (COED)

Paper ID #43616(Board 51/Work in Progress) Cognitive and Emotional Effects of the VideoGame Freedom Bridge.Samuel Opeyemi Falade, Texas A&M University Samuel Falade is a PhD student in Multidisciplinary Engineering at Texas A&M University in College Station, Texas. His research focuses on the non-entertainment use of games and game engines.Dr. Kristi J. Shryock, Texas A&M University Dr. Kristi J. Shryock is the Frank and Jean Raymond Foundation Inc. Endowed Associate Professor in Multidisciplinary Engineering and Affiliated Faculty in Aerospace Engineering in the College of Engineering at Texas A&M University

Relevance Score: 0.0185027

Evaluating Self-paced Computational Notebooks vs. Instructor-Led Online Lectures for Introductory Computer Programming

Conference Session: COED Programming Education 2: Instructional Approaches
Collection: 2023 ASEE Annual Conference & Exposition
Authors: Timothy James, Purdue University, West Lafayette ; Alejandra J. Magana, Purdue University at West Lafayette
Tagged Divisions: Computers in Education Division (COED)

and CS education efforts.Dr. Alejandra J. Magana, Purdue University at West Lafayette Alejandra J. Magana, Ph.D., is the W.C. Furnas Professor in Enterprise Excellence in the Department of Computer and Information Technology with a courtesy appointment at the School of Engineering Education at Purdue University. She holds a B.E. in Informa ©American Society for Engineering Education, 2023 Evaluating Self-paced Computational Notebooks vs. Instructor- Led Online Lectures for Introductory Computer ProgrammingAbstractTeaching a new programming language to computer science students ischallenging, time consuming, and fraught with error. Students face manychallenges while attempting to learn a new language

Relevance Score: 0.018469967

Comparing First-Year Student Programming Confidence Perceptions Between Different Hands-On Projects

Conference Session: COED Programming Education 1: Students, Motivation, and Mastery
Collection: 2023 ASEE Annual Conference & Exposition
Authors: James E. Lewis, University of Louisville; Nicholas Hawkins, University of Louisville; Brian Scott Robinson, University of Louisville
Tagged Divisions: Computers in Education Division (COED)

Paper ID #37281Comparing First-Year Student Programming Confidence Perceptions BetweenDifferent Hands-On ProjectsDr. James E. Lewis, University of Louisville James E. Lewis, Ph.D. is an Associate Professor in the Department of Engineering Fundamentals in the J. B. Speed School of Engineering at the University of Louisville. is research interests include paral- lel and distributed computer systems, cryptography, engineering education, undergraduate retention and technology used in the classroom.Mr. Nicholas Hawkins, University of Louisville Nick Hawkins is an Assistant Professor in the Engineering Fundamentals Department at

Relevance Score: 0.018356424

Board 54: Work in Progress: Exploring How an Unofficial Discord Server Supports Undergraduate Learning in Computer Science

Conference Session: Computers in Education Division (COED) Poster Session
Collection: 2024 ASEE Annual Conference & Exposition
Authors: Makayla Moster, Clemson University; D. Matthew Boyer, Clemson University
Tagged Divisions: Computers in Education Division (COED)

Paper ID #42573(Board 54/Work in Progress) Exploring How an Unofficial Discord ServerSupports Undergraduate Learning in Computer ScienceMakayla Moster, Clemson University Makayla Moster is a PhD student at Clemson University in Clemson, South Carolina. Her research encompasses improving online teamwork in software engineering education.Dr. D. Matthew Boyer, Clemson University Dr. Boyer is a Research Associate Professor in the Department of Engineering & Science Education in the College of Engineering, Computing, and Applied Sciences at Clemson University. His work focuses on how technology supports knowledge building and

Relevance Score: 0.01821205

Pandemic or Profession? Factors Motivating Students to Pursue an Online Bachelor’s Degree

Conference Session: COED: Online and Remote Learning
Collection: 2023 ASEE Annual Conference & Exposition
Authors: Carolyn Kusbit Dunn, East Carolina University; David L. Batts, East Carolina University
Tagged Divisions: Computers in Education Division (COED)

University. His career experiences include industrial consulting and managing an outreach center. His research interests include Distance education qual ©American Society for Engineering Education, 2023Introduction In the Fall of 2021, many universities attempted to return to a semblance of normalcyafter a year and a half of COVID restrictions. This seemed an appropriate time to survey distanceeducation students about their experience, and how COVID impacted their decisions about theireducation. An online survey was sent to all currently enrolled distance education students (591students in all) in the Bachelor of Science in Industrial Technology program at East CarolinaUniversity (ECU). In addition to several

Relevance Score: 0.018176137

Board 62: Work in progress: A Comparative Analysis of Large Language Models and NLP Algorithms to Enhance Student Reflection Summaries

Conference Session: Computers in Education Division (COED) Poster Session
Collection: 2024 ASEE Annual Conference & Exposition
Authors: Ahmed Ashraf Butt, Carnegie Mellon University; Eesha tur razia babar, University of California, Irvine; Muhsin Menekse, Purdue University, West Lafayette; Ali Alhaddad, Purdue University, West Lafayette
Tagged Topics: Diversity
Tagged Divisions: Computers in Education Division (COED)

Paper ID #42399Board 62: Work in progress: A Comparative Analysis of Large LanguageModels and NLP Algorithms to Enhance Student Reflection SummariesDr. Ahmed Ashraf Butt, Carnegie Mellon University Ahmed Ashraf Butt has recently completed his Ph.D. in the School of Engineering Education at Purdue University, where he cultivated a multidisciplinary research portfolio bridging learning science, Human-Computer Interaction (HCI), and engineering education. His primary research focuses on designing and developing educational technologies that facilitate different student learning aspects (e.g., engagement). Further, he is

Relevance Score: 0.018050397

Natural Human-Computer Interface Based on Gesture Recognition with YOLO to Enhance Virtual Lab Users’ Immersive Feeling

Conference Session: Simulations and Virtual Learning
Collection: 2024 ASEE Annual Conference & Exposition
Authors: Momina Liaqat Ali; Zhou Zhang, Middle Tennessee State University
Tagged Divisions: Computers in Education Division (COED)

Paper ID #41709Natural Human-Computer Interface Based on Gesture Recognition with YOLOto Enhance Virtual Lab Users’ Immersive FeelingMomina Liaqat AliDr. Zhou Zhang, Middle Tennessee State University I have been an Associate Professor in the Department of Engineering Technology at Middle Tennessee State University since August 2022. Before taking this position, I was an Assistant Professor at the CUNY New York City College of Technology from August 2017 to August 2022. I earned my Ph.D. degree in Mechanical Engineering with the honor of the James Harry Potter Award for outstanding performance in the Doctoral Program at the