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
Paper ID #37986Mastery Grading in a Software Engineering CourseCarlos Rojas, San Jose State University Carlos Rojas is an Assistant Professor in the Department of Computer Engineering at San Jose State University. His current research focus is on applying computational, machine learning, and visualization techniques to the understanding of biological mechanisms and systems. Dr. Rojas received his Ph.D., M.S., and B.S. degrees from UC Davis where his research focused on computational methods to compare 3D geometric shapes.Prof. Gina M. Quan, San Jose State University Gina Quan is an assistant professor in the Department
Paper ID #38310Engaging Engineering Students through Environmental Data ScienceDr. Mary Kay Camarillo, University of the Pacific Dr. Mary Kay Camarillo is an Associate Professor of Civil Engineering at the University of the Pacific in Stockton, CA. She has a PhD in Civil & Environmental Engineering from the University of California, Davis and is a licensed Professional Engineer in California (Civil). Prior to working in academia, Dr. Ca- marillo worked in the consulting industry, designing and overseeing construction of water and wastewater infrastructure. Her research interests include environmental impacts of energy
, UK, 2018; p. 012001 3. Doug Austin (July 21, 2023). "120 Mind Blowing AI Tools: Artificial Intelligence Trends," eDiscovery Today, https://ediscoverytoday.com/2023/07/21/120-mind-blowing- ai-tools-artificial-intelligence-trends/, Accessed on October 2023. 4. Ines Roldos (June 9th, 2020). "NLP, Machine Learning and AI Explained," MonkeyLearn, Blog, https://monkeylearn.com/blog/nlp- ai/#:~:text=AI%2Dpowered%20chatbots%2C%20for%20example,by%20learning%20fro m%20past%20interactions, Accessed on October 2023. 5. Johri Aditya, (2020). “Artificial Intelligence and Engineering Education”, Journal of Engineering Education, Vol. 1 Section 4. DOI: 10.1002/jee.20326 6. Mukhamediev, R.I.; Symagulov, A.; Kuchin, Y
Paper ID #39645Virtual Reality For Robot Control and Programming in UndergraduateEngineering CoursesMr. Andrew Rukangu, University of Georgia Andrew is a Ph.D. candidate at the University of Georgia School of Electrical and Computer Engineer- ing. His research is centered around the use of embedded microcontrollers and hardware to create better interfaces for virtual reality. His work has practical applications in fields such as engineering education and robotics.Dr. John Ray Morelock, University of Georgia Dr. Morelock is an Assistant Professor of Practice with an emphasis on engineering education research, and the
Paper ID #41009Bark Plug: The ChatGPT of the Bagley College of Engineering at MississippiState UniversityDr. Jason M. Keith, Mississippi State University Jason Keith is the Dean and Earnest W. and Mary Ann Deavenport, Jr. Chair in the Bagley College of Engineering at Mississippi State University, a position he has held since March, 2014. Keith received his B.S. in Chemical Engineering from The University of Akron and his Ph.D. from the University of Notre Dame. Keith is Fellow of ASEE.Amin Amirlatifi, Mississippi State UniversityShahram RahimiSubash Neupane, Mississippi State UniversitySudip Mittal
Paper ID #44115(Board 50/Work in Progress) A Systematic Review of Embedding Large LanguageModels in Engineering and Computing EducationDr. David Reeping, University of Cincinnati Dr. David Reeping is an Assistant Professor in the Department of Engineering and Computing Education at the University of Cincinnati. He earned his Ph.D. in Engineering Education from Virginia Tech and was a National Science Foundation Graduate Research Fellow. He received his B.S. in Engineering Education with a Mathematics minor from Ohio Northern University. His main research interests include transfer student information asymmetries, threshold
more effectively [8][9]. Notably, learning tocommunicate effectively (oral and written) requires correct sentence structure, which is lackingskill and requires assistance.Recognizing the root problem of engineering students' technical writing as inappropriate use ofsentence structure in English, this paper focuses on creating means to allow students to conveytheir thoughts using correct sentence structure. Prior literature suggests that complete sentenceseffectively allow an individual to communicate with another because complete sentencesenhance the strength and meaning of the ideas in the writer's mind [10].We hypothesize that this model will assist students in classifying written sentences asdeclarative, interrogative, imperative
, Computer Science, Computer Engineering, ParadigmsMotivation: Music and Fluency in Computing Levels of AbstractionThe notions of computer science as an art form itself and as a platform for creative minds toexercise new artistic direction have been intertwined since Ada Lovelace envisioned a futurewhere computer served as more than calculator machines.1 Her insight into the potential forcomputing machines stemmed in part from her dedicated study of the piano, singing, and as aharpist.2 Since music and the “fundamental relations of pitched sounds” may be quantified as ascience of the harmony of expression, she envisioned a computing machine that could composeelaborate pieces of music to any computable degree of complexity.While the extent
ineducational settings. Not all of these methods are appropriate or applicable to the problem athand though; the specific NLP technique implemented must be adapted to fit the type of textbeing analyzed and the purpose of that analysis [8].Existing Uses of Natural Language Processing in AssessmentWith the ethical concerns and limitations of more advanced models in mind, the use of naturallanguage processing in educational assessment is by no means a new endeavor. The use ofautomated essay scoring techniques have been widely developed and discussed across multiplesubject areas [9]. However, their usage remains problematic and they do not see significant usein the field of engineering education.This said, there have been many attempts at more detailed
Paper ID #39142Assessment of the Utilization of Open Educational Resources during andafter the PandemicDr. Janardhanan Gangathulasi, National Institute of Technical Teachers Training and Research, Chennai,India Dr. Janardhanan Gangathulasi is Professor of Civil and Environmental Engineering and Head of Centre for Academic Studies and Research at the National Institute of Technical Teachers Training and Research Chennai. Dr. Janardhanan has over 20 years of research, teaching and consulting experience within the broad fields of civil, environmental engineering and engineering education. His research expertise includes
Paper ID #39981A SwarmAI Testbed for Workforce Development and Collaborative,Interdisciplinary ResearchMartha Cervantes, Johns Hopkins University Martha Cervantes is a Mechanical Engineer at the Johns Hopkins University Applied Physics Labora- tory where she works in mechanical design and integration of robotic systems. Additionally, Martha is the project manger of the CIRCUIT Program at JHU/APL, which connects and mentors students from trailblazing backgrounds to STEM careers through science and engineering projects. Martha received her B.S. in Mechanical Engineering from Johns Hopkins University, and she is currently
] P. E. Doolittle, “Understanding Cooperative Learning through Vygotsky’s Zone of Proximal Development.,” 1995.[3] J. G. Greeno, A. M. Collins, and L. Resnick, “Cognition and learning,” in Cognition and Learning, 1996, pp. 15–46.[4] L. S. VYGOTSKY, Mind in Society. Harvard University Press, 1978. doi: 10.2307/j.ctvjf9vz4.[5] A. Bandura, “Albert Bandura- Social Learning Theory,” Simply Psychology, 1977.[6] J. P. Martin, D. R. Simmons, and S. L. Yu, “The Role of Social Capital in the Experiences of Hispanic Women Engineering Majors,” Journal of Engineering Education, vol. 102, no. 2, pp. 227–243, Apr. 2013, doi: 10.1002/jee.20010.[7] S. Freeman et al., “Prescribed Active Learning Increases
Paper ID #37735Using VR (Virtual Reality) Technology to Teach Fall Safety Topics toStudents: Simulation Outcomes and Student LearningsDr. Mahmud Hasan, University of Houston, Downtown Strong and diverse teaching, research, industry, and service (department, college, university, and commu- nity level) experience in innovative safety environments. Worked in different multinational engineering companies: McDermott International, Inc., Genesis Oil and Gas (Technip USA Inc.), and Shahjibazar Gas Turbine Power Plant. A licensed Certified Safety Professional (CSP) and Professional Engineer (PE) from two states (Texas and Louisiana
Paper ID #42183WIP: AI-based Sentiment Analysis and Grader EnhancementsMr. Bobby F Hodgkinson, University of Colorado Boulder Bobby Hodgkinson is an Associate Teaching Professor in the Smead Aerospace Engineering Sciences Department (AES) and co-manages the educational electronics and instrumentation shop. He assists students and researchers in the department for sensor and data acquisition needs as well as manages several lab courses and experiments. He is a member of the Professional Advisory Board for the senior capstone projects course. Prior to joining Smead Aerospace department in 2012, he was the lab manager at
Paper ID #38390The Combination Approach: Increasing Student Learning and Understand-ingof Introductory Computer Science TopicsMr. Thomas Rossi, Penn State Behrend Thomas Rossi is a lecturer in Computer Science and Software Engineering at Penn State Behrend. His research focuses on improving the post-secondary experience for students through the use of current com- puting tools and technologies. Thomas graduated with his MS in Computer Science from the University of New Hampshire in 2016.Dr. Paul C. Lynch, Penn State Behrend Paul C. Lynch received his Ph.D., M.S., and B.S. degrees in Industrial Engineering from the
Paper ID #36777Identifying Student Profiles Related to Success in Discrete Math CSCoursesProf. Yael Gertner, University of Illinois, Urbana-Champaign Dr Gertner joined the Computer Science Department at the University of Illinois in 2020 as a Teaching Assistant Professor. She received her B.S. and MEng in Electrical Engineering and Computer Science from MIT, and Ph.D. in Computer and Information Science at the University of Pennsylvania. She was a Beckman Fellow at the University of Illinois Urbana-Champaign. Her current focus is on broadening par- ticipation in Computer Science and Computer Science Education She has
Paper ID #38467What to Teach First, Hardware or Software? Improving Success inIntroductory Programming CoursesDr. Richard Whalen, Northeastern University Dr. Richard Whalen is a Teaching Professor at Northeastern University in Boston, MA and is Director of First-year Engineering. The mission of the First-year Engineering team is to provide a reliable, wide- ranging, and constructive educational experience that endorses the student-centered and professionally- oriented mission of the University. He also teaches specialty courses in the Department of Mechanical and Industrial Engineering at Northeastern and has published and
Paper ID #36975Application of Mastery Learning in an Online MATLAB Programming CourseDr. James Edward Toney, The Ohio State University James Toney earned the Ph.D. in applied physics from Carnegie Mellon University in 1998 and the B.S. in electrical engineering from Rensselaer Polytechnic Institute in 1984. He is a Senior Lecturer in the Department of Engineering Education at Ohio State, where his focus is on curriculum development for teaching computer programming, primarily in MATLAB. He has previously held R&D positions at Bat- telle, Penn State Electro-Optics Center, and SRICO, Inc., where he worked on modeling
Paper ID #36998Graphics Library to Aid Student Learning of Object-Oriented ProgrammingMr. Thomas Rossi, Penn State Erie Thomas Rossi is a lecturer in Computer Science and Software Engineering at Penn State Behrend. His research focuses on improving the post-secondary experience for students through the use of current com- puting tools and technologies. Thomas graduated with his MS in Computer Science from the University of New Hampshire in 2016.Mackenzie SloanRyan Joseph Pape ©American Society for Engineering Education, 2023 Graphics Library to Aid Student Learning of Object-Oriented
serves as the main liaison from the college to the CBTF.Olivia Arnold, University of Illinois Urbana-ChampaignProf. Mariana Silva, University of Illinois Urbana-Champaign Mariana Silva is a Teaching Associate Professor in the Department of Computer Science at the University of Illinois at Urbana-Champaign. Silva is known for her teaching innovations and educational studies in large-scale assessments and collaborative learning. She has participated in two major overhauls of large courses in the College of Engineering: she played a key role in the re-structure of the three Mechanics courses in the Mechanical Science and Engineering Department, and the creation of the new computational-based linear algebra course, which
Paper ID #39036Impact of Extra Credit for Practice Questions on Programming Students’Participation and PerformanceDr. Sarah Rajkumari Jayasekaran, University of Florida Sarah Jayasekaran (Dr J) is an instructional assistant professor at the University of Florida. She has a Master’s in Structural Engineering and a Ph.D. in Civil Engineering from the University of Florida (UF). She is originally from the city of Chennai, India. Dr. J came to the United States to pursue her passion for teaching. Her research interest includes smart cities, smart concepts in education, student retention, and curriculum development.Umer
Paper ID #38829Development of a Hardware Educational Tool for Teaching ComputationalThinking with Scratch®Ing. Martha Lucia Cano, Pontificia Universidad Javeriana, Bogot´a, Columbia Professor at the Faculty of Engineering at Pontificia Universidad Javeriana in Bogot´a and current Ph.D student in Engineering Education at Rowan University. Received the B.S. degree in electronics engineer- ing from Pontificia Universidad Javeriana, Bogot´a, Colombia, and the M.S. degree in critical systems and networks from Universit´e Paul Sabatier, Toulouse, France, in 2006. She has worked as professor at Pontificia Universidad Javeriana
Paper ID #41541A Custom Generative AI Chatbot as a Course ResourceYutong Ai, University of MichiganMaya Baveja, University of MichiganAkanksha Girdhar, University of MichiganMelina O’Dell, University of MichiganDr. Andrew Deorio, University of Michigan Andrew DeOrio is a teaching faculty and Associate Chair for Undergraduate Affairs at the University of Michigan and a consultant for web projects. His research interests are in engineering education and interdisciplinary computing. His teaching has been recognized with the Provost’s Teaching Innovation Prize, and he has three times been named Professor of the Year by the students
Paper ID #41917Giving Voice to Problem-Solving: Hearing Students’ Techniques in VideoReflectionsDr. Tammy VanDeGrift, University of Portland Dr. Tammy VanDeGrift is a Professor and Chair of Computer Science at the University of Portland. Her research interests include computer science education, pedagogy, and best practices for retention and engagement. ©American Society for Engineering Education, 2024 Giving Voice to Problem-Solving: Hearing Students’ Techniques in Video ReflectionsAbstractWritten exams are regularly used to assess students’ skills in problem-solving
Paper ID #37309The ”besTech” Technology Practice Framework for Early Childhood Educa-tionDr. Safia Malallah, Kansas State University Safia Malallah is a postdoc in the computer science department at Kansas State University working with Vision and Data science projects. She has ten years of experience as a computer analyst and graphic de- signer. Besides, she’s passionate about developing curriculums for teaching coding, data science, AI, and engineering to young children by modeling playground environments. She tries to expand her experience by facilitating and volunteering for many STEM workshopsJoshua Levi Weese, Kansas
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
Paper ID #40146First Try, No (Autograder) Warm Up: Motivating Quality Coding Submis-sionsLiia Butler, University of Illinois, Urbana-ChampaignDr. Geoffrey L. Herman, University of Illinois, Urbana-Champaign Dr. Geoffrey L. Herman is the Severns Teaching Associate Professor with the Department of Computer Science at the University of Illinois at Urbana-Champaign. ©American Society for Engineering Education, 2023 First Try, No (Autograder) Warm Up: Motivating Quality Coding SubmissionsAbstractInstructors face the challenge of encouraging well-tested, quality code
Paper ID #41775Developing Lafayette Park Minecraft World to Broaden Participation in ComputingDr. Lily Rui Liang, University of the District of Columbia Dr. Lily Rui Liang is a full professor and Graduate Program Director at the Department of Computer Science and Information Technology, University of the District of Columbia. Dr. Liang joined the University of the District of Columbia in 2004 after receiving her Ph.D. in Computer Science and Engineering from the University of Nevada, Reno, Nevada. Her research areas include computer science education, cybersecurity, artificial intelligence, and digital image processing. She
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