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Displaying all 11 results
Conference Session
Computer Engineering Topics
Collection
2024 ASEE Annual Conference & Exposition
Authors
Peter Jamieson, Miami University; Nathaniel David Martin, Miami University
Tagged Topics
Diversity
Tagged Divisions
Computers in Education Division (COED)
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
Conference Session
ML and Generative AI Tools and Policies
Collection
2024 ASEE Annual Conference & Exposition
Authors
Sofia M Vidalis, Pennsylvania State University; Rajarajan Subramanian, Pennsylvania State University; Fazil T. Najafi, University of Florida
Tagged Divisions
Computers in Education Division (COED)
, 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
Conference Session
ML and Generative AI Tools and Policies
Collection
2024 ASEE Annual Conference & Exposition
Authors
Jason M. Keith, Mississippi State University; Amin Amirlatifi, Mississippi State University; Shahram Rahimi; Subash Neupane, Mississippi State University; Sudip Mittal
Tagged Divisions
Computers in Education Division (COED)
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
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)
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
Conference Session
Spotlight on Diverse Learners
Collection
2024 ASEE Annual Conference & Exposition
Authors
Sung Je Bang, Texas A&M University; Saira Anwar, Texas A and M University
Tagged Divisions
Computers in Education Division (COED)
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
Conference Session
Teaching with ML and Generative AI
Collection
2024 ASEE Annual Conference & Exposition
Authors
Bobby F Hodgkinson, University of Colorado Boulder; Nathan Eric Whittenburg, University of Colorado Boulder
Tagged Divisions
Computers in Education Division (COED)
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
Conference Session
Computer-Supported Pedagogy and Assessment
Collection
2024 ASEE Annual Conference & Exposition
Authors
Jim Sosnowski, University of Illinois Urbana-Champaign; Julie M Baker, University of Illinois Urbana-Champaign; Olivia Arnold, University of Illinois Urbana-Champaign; Mariana Silva, University of Illinois Urbana-Champaign; David Mussulman, University of Illinois Urbana-Champaign; Craig Zilles, University of Illinois Urbana-Champaign; Matthew West, University of Illinois Urbana-Champaign
Tagged Topics
Diversity
Tagged Divisions
Computers in Education Division (COED)
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
Conference Session
The Best of Computers in Education Division (COED)
Collection
2024 ASEE Annual Conference & Exposition
Authors
Yutong Ai, University of Michigan; Maya Baveja, University of Michigan; Akanksha Girdhar, University of Michigan; Melina O'Dell, University of Michigan; Andrew Deorio, University of Michigan
Tagged Divisions
Computers in Education Division (COED)
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
Conference Session
Computer-Supported Pedagogy and Assessment
Collection
2024 ASEE Annual Conference & Exposition
Authors
Tammy VanDeGrift, University of Portland
Tagged Divisions
Computers in Education Division (COED)
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
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
Conference Session
Spotlight on Diverse Learners
Collection
2024 ASEE Annual Conference & Exposition
Authors
Lily Rui Liang, University of the District of Columbia; Rui Kang; Carlos Sac Mendoza, University of the District of Columbia
Tagged Topics
Diversity
Tagged Divisions
Computers in Education Division (COED)
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