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Portable Laboratory for Electrical Engineering Education: The LAB-VEE Ecosystem Developed in Latin America and the Caribbean

Conference Session: COED: Spotlight on Diverse Learners
Collection: 2023 ASEE Annual Conference & Exposition
Authors: Reymi Then, Universidad Tecnológica de Santiago; Maria Mercedes Larrondo-Petrie, Florida Atlantic University
Tagged Divisions: Computers in Education Division (COED)

Paper ID #38138Portable Laboratory for Electrical Engineering Education: The LAB-VEEEcosystem Developed in Latin America and the CaribbeanIng. Reymi Then, Universidad Tecnol´ gica de Santiago o A young professional passionate about research, technologies and their teaching. From a very early age, he presented a high interest and understanding of engineering, starting studies and technical work in electronics in 2002. In 2004 he began to study electronic engineering at the Technological University of Santiago (UTESA) and in 2019 he coursed a master’s degree in Mathematics at his Alma Mater

Relevance Score: 0.7011063

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)

, and as a result, experienced significant hurdles with the remote learning switch. In this paper, the impact of an internally developed smartphone application called KarmaCollab is evaluated alongside the incorporation of socialized teaching and course gamification. We will look at UC Davis Electrical and Computer Engineering laboratory courses and the impact KarmaCollab had on the online course format. The relationships between course grades, KarmaCollab app engagement, student self-reported sentiment via an end-of-quarter survey, and teaching staff interviews are presented to showcase interesting remote learning insights. Introduction The COVID-19

Relevance Score: 0.030430555

The Combination Approach: Increasing Student Learning and Understanding of Introductory Computer Science Topics

Conference Session: COED Programming Education 1: Students, Motivation, and Mastery
Collection: 2023 ASEE Annual Conference & Exposition
Authors: Thomas Rossi, Penn State Behrend; Paul C. Lynch, Penn State Behrend
Tagged Divisions: Computers in Education Division (COED)

thetopic being discussed that week. For example, if a student is learning about loops in lecture, theycould be asked to write a program using loops to generate a multiplication table during the labperiod. Hazzan et al assert this allows students to be engaged in their learning rather than abystander similar to what you might see in laboratories for the natural sciences [2].Prior engineering education research has clearly shown that inductive teaching styles in lecturesand lab sessions show the students the importance and application of the subject matter byshowing the students particular examples while challenging them to keep building concept byconcept to solve complex challenges [3] [4]. These inductive teaching methods typically use ascaffolded

Relevance Score: 0.026385186

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)

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

Relevance Score: 0.020386456

Graphics Library to Aid Student Learning of Object-Oriented Programming

Conference Session: COED Programming Education 2: Instructional Approaches
Collection: 2023 ASEE Annual Conference & Exposition
Authors: Thomas Rossi, Penn State Erie; Mackenzie Sloan; Ryan Joseph Pape
Tagged Divisions: Computers in Education Division (COED)

and Y. C. Cheng, "Teaching Object-Oriented Programming Laboratory With Computer Game Programming," IEEE Transactions on Education, vol. 50, no. 3, pp. 197- 203, 2007.[6] python.org, "turtle — Turtle graphics," [Online]. Available: https://docs.python.org/3/library/turtle.html. [Accessed 30 December 2022].[7] E. Engheim, "Why Should You Program with Julia?," Manning Free Content Center, 6 May 2022. [Online]. Available: https://freecontent.manning.com/why-should-you-program-with- julia/. [Accessed 30 December 2022].[8] Apache Maven Project, "Introduction," Apache Maven Project, 1 January 2023. [Online]. Available: https://maven.apache.org/what-is-maven.html. [Accessed 1 January 2023].[9] M. Kimberlin, "Reducing Boilerplate

Relevance Score: 0.019549593

A Comparison of Students’ Academic Achievement and Perceptions in Hyflex and Non-Hyflex Engineering Courses

Conference Session: COED: Student Perspectives of Instructional and Advising Approaches
Collection: 2023 ASEE Annual Conference & Exposition
Authors: Jessica Ohanian Perez, California State Polytechnic University, Pomona; Juliana Lynn Fuqua, California State Polytechnic University, Pomona; Faye Linda Wachs, California State Polytechnic University, Pomona; Paul Morrow Nissenson, California State Polytechnic University, Pomona; Brooke Jones; Jeffrey A. Phillips; Harmony Nguyen, The Pennsylvania State University
Tagged Divisions: Computers in Education Division (COED)

Paper ID #37174A Comparison of Students’ Academic Achievement and Perceptions in Hyflexand Non-Hyflex Engineering CoursesDr. Jessica Ohanian Perez, California State Polytechnic University, Pomona Jessica Ohanian Perez is an assistant professor in Electromechanical Engineering Technology at Califor- nia State Polytechnic University, Pomona with a focus on STEM pedagogy. Jessica earned her doctorate in education, teaching, learning and culture from Claremont Graduate UniversityProf. Juliana Lynn Fuqua, California State Polytechnic University, Pomona Juliana Fuqua, Ph.D., is an Associate Professor in the Department of Psychology

Relevance Score: 0.015978428

Student Preference of Video Length for Studying Machine Learning in a Flipped Classroom

Conference Session: COED: Student Perspectives of Instructional and Advising Approaches
Collection: 2023 ASEE Annual Conference & Exposition
Authors: Ahmed Dallal, University of Pittsburgh
Tagged Divisions: Computers in Education Division (COED)

partially flipped ECE laboratory classes,” in ASEE Annual Conference and Exposition, Conference Proceedings, 2020, vol. 2020-June.[9] A. Dallal, “Students performance in remote flipped signals classes,” in ASEE Annual Conference & Exposition, 2021.[10] B. Morin, K. M. Kecskemety, K. A. Harper, and P. A. Clingan, “The inverted classroom in a first-year engineering course,” in the 120th American Society of Engineering Education Annual Conference & Exposition, Atlanta, GA, 2013.[11] F. Reyneke and L. Fletcher, “The impact of an inverted traditional teaching model on first level statistics students,” in Ninth International Conference on Teaching Statistics, 2014.[12] C. P. Talley, “The Enhanced Flipped Classroom

Relevance Score: 0.015978428

Creating and Implementing a Custom Chatbot in Engineering Education

Conference Session: The Best of Computers in Education
Collection: 2023 ASEE Annual Conference & Exposition
Authors: Shameel Abdulla, Texas A&M University, Qatar; Yasser M. Al Hamidi, Texas A&M University, Qatar; Marwan Khraisheh, Texas A&M University, Qatar
Tagged Divisions: Computers in Education Division (COED)

, Qatar Dr. Al-Hamidi holds a Ph. D. degree in Mechatronics from the University of Bourgogne Franche-Comt´ e (UBFC), France, and currently working as the Mechanical Engineering Laboratories Manager at Texas A&M University at Qatar. He joined Texas A&M University at Qatar in 2007 coming from University of Sharjah. Dr. Al-Hamidi had been appointed as a visiting lecturer in 2018 to teach design related courses in the mechanical engineering program. He specializes in product design, instrumentation, controls, and automation. Dr. Al-Hamidi founded the Engineering Enrichment Program in 2016, which is currently one of the Center for Teaching and Learning pillars. He received three Transformative Engineering

Relevance Score: 0.015355993

Enabling Remote Student Learning of IoT Technologies

Conference Session: COED: Online and Remote Learning
Collection: 2023 ASEE Annual Conference & Exposition
Authors: Lifford McLauchlan, Texas A&M University, Kingsville; David Hicks, Texas A&M University, Kingsville; Mehrube Mehrubeoglu, Texas A&M University, Corpus Christi; Hemanth Kumar Reddy Bhimavarapu, Texas A&M University, Kingsville
Tagged Divisions: Computers in Education Division (COED)

process- ing. He is a co-inventor on 3 US patents related to control systems. Dr. McLauchlan is a member of ASEE and was the 2012-2014 Chair of the Ocean and Marine Engineering Division. He is also a member of IEEE (senior member), SPIE, Eta Kappa Nu, ACES and Tau Beta Pi, and has served on the IEEE Corpus Christi Section Board in various capacities such as Chair, Vice Chair, Secretary and Membership Develop- ment Officer. Dr. McLauchlan has received the Dean’s Distinguished Service Award twice and the Dean’s Outstanding Teaching Award once for the College of Engineering at Texas A&M University-Kingsville.Dr. David Hicks, Texas A&M University, Kingsville David Hicks is an Associate Professor in the Electrical

Relevance Score: 0.014467625

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)

learning and robotics together withthe specific machine learning and robotics applications in autonomous systems, the first author hasexplored the Machine Learning Course and Robotics Course currently available in differentUniversities [1-7]. Especially, during her 8 weeks summer visiting at Stanford University, shealso had a chance to explore resources to integrate into the course. Based upon all these works, shesuccessfully adapted/developed course EGR 391- Intermediate Research Topic Course to aResearch-based Course on Machine Learning and Robotics by combining teaching, research,and engagement. This course is especially designed for the team of junior undergraduate studentswho are participating in the NSF EIR and NASA ULI projects.The

Relevance Score: 0.014361449

Board 59: WIP: Lab Container: An environment to manage a student’s time to complete programming labs while providing effective feedback from course staff

Conference Session: Computers in Education Division (COED) Poster Session
Collection: 2023 ASEE Annual Conference & Exposition
Authors: Yu Sheng Pan, University of Toronto; Aniruddha Redkar, University of Toronto; Sowrov Talukder, University of Toronto; Parth Sindhu, University of Toronto; Hamid S. Timorabadi, University of Toronto
Tagged Divisions: Computers in Education Division (COED)

, and Relational Algebra and SQL. MarkUs is aplatform that allows students to submit their code for feedback, testing, and grading. However, asignificant drawback of both these solutions is that there is no way for course staff to monitor thetime spent by students on their programming labs. This lack of monitoring allows students toallocate excessive time towards programming labs, adversely impacting their other coursework.To address this challenge, Lab Container offers a comprehensive platform for creating andcompleting programming labs while simultaneously enabling course staff to track studentprogress and time spent on labs to prevent over-investment of time in programming labs.A Better Learning and Teaching ExperienceTo create a better

Relevance Score: 0.013641536

Study of Artificial Intelligence Computing Devices for Undergraduate Computer Science and Engineering Labs

Conference Session: COED: AI and ML Topics
Collection: 2023 ASEE Annual Conference & Exposition
Authors: Nebojsa I. Jaksic, Colorado State University, Pueblo; Bahaa Ansaf, Colorado State University, Pueblo
Tagged Divisions: Computers in Education Division (COED)

Edition, Brigham Young University Press, 1995.6. L. E. Ortiz and E. M. Bachofen, “An Experience in Teaching Structures in Aeronautical, Mechanical and Civil Engineering, Applying the Experimental Methodology,” 2001 American Society for Engineering Education Annual Conference & Exposition Proceedings, Session 2526.7. M. Abdulwahed and Z. K. Nagy, Applying Kolb’s Experiential Learning Cycle for Laboratory Education, Journal of Engineering Education, July 2009, pp. 283-294.8. D. A. Wyrick and L. Hilsen, “Using Kolb’s Cycle to Round out Learning,” 2002 American Society for Engineering Education Annual Conference and Exposition Proceedings, Montreal, Canada, June 17-19, 2002. Session 2739.9. T. S. Harding, H.-Y. Lai, B. L. Tuttle, and

Relevance Score: 0.013395499

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)

taught in thissequence is basic programming.The programming instruction presented in ENGR 111 is an extension of the programming skillslearned in ENGR 110. However, ENGR 110 teaches programming basics in Python, whereas theENGR 111 instruction utilizes Arduino microcontrollers for its programming curriculum. Theprogramming instruction in ENGR 111 also forgoes standalone programming assignments forscaffolded modules that prepare students for an end-of-semester Cornerstone Project.Accordingly, students gain exposure to varying programming languages, and a wide introductionto software design concepts that help prepare them for the remainder of their academic andprofessional careers.In this paper, two semesters of ENGR 111 with two different

Relevance Score: 0.011941393

Impact of Extra Credit for Practice Questions on Programming Students’ Participation and Performance

Conference Session: COED Programming Education 2: Instructional Approaches
Collection: 2023 ASEE Annual Conference & Exposition
Authors: Sarah Rajkumari Jayasekaran, University of Florida; Umer Farooq; Saira Anwar, Texas A&M University
Tagged Divisions: Computers in Education Division (COED)

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