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)

Khorbotly, “Machine Learning: An undergraduate Engineering Course”, 2022 ASEE 2. Introduction to Deep Learning: A First Course in Machine Learning 3. Niklas Lavesson. Learning machine learning: a case study. IEEE Transactions on Education, 53(4):672–676, 2010. 4. Maja J. Mataric “Robotics Education for All Ages”, Proceedings, AAAI Spring Symposium on Accessible, Hands-on AI and Robotics Education, Palo Alto, CA, Mar 22-24, 2004. 5. Sergeyev, A., Alaraje, N., “Partnership with industry to offer a professional certificate in robotics automation”, ASEE Annual Conference & Exposition (ASEE 2010), AC 2010-968 6. Sergeyev, A

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)

the Institute of Networked Autonomous Systems at the University of Florida, Gainesville where he focused on the research and development of small, autonomous aerial and underwater vehicles, sensors and actuators. He received a BS and MS degree from the Aerospace Engineering Sciences department at CU Boulder in 2010 and 2011 respectively.Nathan Eric Whittenburg, University of Colorado Boulder Nathan Whittenburg is currently pursuing a degree in Aerospace Engineering with a minor in Computer Science at the University of Colorado Boulder. He serves as a Lab Assistant in the Aerospace department, where his responsibilities include employing Large Language Models and Natural Language Processing to enhance educational

Conference Session

The Best of Computers in Education

Collection

2023 ASEE Annual Conference & Exposition

Authors

Jayma Koval, Georgia Institute of Technology; Diley Hernandez, Georgia Institute of Technology; Tom McKlin; Douglas Edwards, Georgia Institute of Technology; Rafael A. Arce-Nazario; Joseph Carroll-Miranda; Isaris Rebeca Quinones Perez, University of Puerto Rico, Rio Piedras; Lilliana Marrero-Solis; Jason Freeman, Georgia Institute of Technology; Taneisha Lee Brown; Pascua Padro; Stephen Garrett; Analia E. Rao; Marion Usselman, Georgia Institute of Technology

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

TechnologyTom McKlinMr. Douglas Edwards, Georgia Institute of Technology Douglas Edwards is a K-12 Science Technology Engineering Mathematics (STEM) educational researcher with the Georgia Institute of Technology. His educational experience in the Atlanta area for the past twenty years includes high school mathematics teachiRafael A. Arce-NazarioJoseph Carroll-MirandaIsaris Rebeca Quinones Perez, University of Puerto Rico, Rio PiedrasLilliana Marrero-SolisJason Freeman, Georgia Institute of Technology Jason Freeman is an Associate Professor of Music at Georgia Tech. His artistic practice and scholarly research focus on using technology to engage diverse audiences in collaborative, experimental, and ac- cessible musical

Conference Session

COED: Spotlight on Diverse Learners

Collection

2023 ASEE Annual Conference & Exposition

Authors

Vijesh J. Bhute, Imperial College London; Ellen Player; Deesha Chadha, Imperial College London

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

Inclusive Delivery Method for Course Content in Higher EducationAuthors: Vijesh J. Bhute*, Ellen L. Player, and Deesha ChadhaAffiliation: Department of Chemical Engineering, Imperial College London, SouthKensington Campus, London, SW7 2AZ, UK*Corresponding Author: Dr. Vijesh J. BhuteAddress: Room 1M17A, ACE Extension Building, Department of Chemical Engineering,Imperial College London, South Kensington Campus, London, SW7 2AZ, UKEmail: v.bhute@imperial.ac.ukAbstractCourse books containing mathematical equations and images when delivered as physicalcopies, scanned ebooks or PDFs are not screen reader accessible. Current frameworks forclassification of learning resources assume ‘equal’ access and ‘uniform’ engagement

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

Conference Session

ML and Generative AI Tools and Policies

Collection

2024 ASEE Annual Conference & Exposition

Authors

Zifeng Liu, University of Florida; Rui Guo, University of Florida; Xinyue Jiao, New York University; Xueyan Gao, University of Florida; Hyunju Oh, University of Florida; Wanli Xing, University of Florida

Tagged Divisions

Computers in Education Division (COED)

science in the digital age. Running on Empty, 2010. URL https://api.semanticscholar.org/CorpusID:220884923. [8] E. B. Witherspoon, C. D. Schunn, R. M. Higashi, and R. Shoop. Attending to structural programming features predicts differences in learning and motivation. Journal of Computer Assisted Learning, 34(2):115–128, 2018. doi: 10.1111/jcal.12219. URL https://doi.org/10.1111/jcal.12219. [9] S. Marwan, G. Gao, S. Fisk, T. W. Price, and T. Barnes. Adaptive immediate feedback can improve novice programming engagement and intention to persist in computer science. In Proceedings of the 2020 ACM Conference on International Computing Education Research, pages 194–203. ACM, August 2020.[10] Ismaila Temitayo Sanusi and Sunday