Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Trini Balart, Texas A&M University; Kristi J. Shryock, Texas A&M University

Tagged Divisions

Computers in Education Division (COED)

Paper ID #43499Board 48: Perceptions of ChatGPT on Engineering Education: A 2022-2023Exploratory Literature ReviewTrini Balart, Texas A&M University Trinidad Balart is a PhD student at Texas A&M University. She completed her Bachelors of Science in Computer Science engineering from Pontifical Catholic University of Chile. She is currently pursuing her PhD in Multidisciplinary Engineering with a focus in engineering education and the impact of AI on education. Her main research interests include Improving engineering students’ learning, innovative ways of teaching and learning, and how artificial intelligence can

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2023 ASEE Annual Conference & Exposition

Authors

Lynette Michaluk, West Virginia University; Mingyu Lu, West Virginia University Institute of Technology; Gay Bernadette Stewart

Tagged Divisions

Computers in Education Division (COED)

of Education, and Code.org. The SUCCESS RPP partnership first convened at a summer 2021 workshop, where middleschool-level “design teams” including teachers, principals and counselors were formed. These teamsworked with district and university SUCCESS senior personnel to modify the most widely used CScurriculum in the world (Code.org) and understand how the RPP would use data obtained from partnersand students of participating teachers. Data collected are used to provide and iteratively improve culturallyresponsive development (PD) and other supports to additional state districts in summer 2022 and 2023. Inthis paper, we provide an update of the impact of the project to date on numbers of teachers, counselors,and principals, and

Conference Session

COED: Skills for Moving from Computing Student to Professional

Collection

2023 ASEE Annual Conference & Exposition

Authors

Edward Dillon, Morgan State University; Abigail Dina; Mariah McMichael; Theodore Wimberly Jr.; Lauren Brown; Krystal L. Williams, University of Georgia

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

span of 3 to 4 semestersranging from Fall 2020 to Spring 2022. A small portion of this work has already been publishedby the authors that strictly focuses on its initial impacts during Fall 2020 semester [16]. Neweroutcomes regarding this work are discussed in this current article that represent findings thattrend over a span of 3 to 4 semesters instead of one.During each of the targeted semesters, this study included a PRE and POST assessment to gaugethe students’ problem-solving abilities at different points throughout a given semester. Thetargeted participants for this study were students enrolled in either the CS2 or Object-OrientedProgramming (OOP) course at a Mid-Atlantic HBCU in the United States. Just to note: the OOPcourse was not

Conference Session

Programming Education 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Jialiang Tan, Lehigh University; Yu Chen, Independent Researcher; Shuyin Jiao, North Carolina State University

Tagged Divisions

Computers in Education Division (COED)

understanding and skills. Students are required torun the in-class coding exercises via the Jupyter Notebook extension installed in VS Code andcomplete the programming tasks (homework assignments, lab exercises, and projects) in VSCode independently.5.2. VS Code and VS Code Guidance EvaluationWe designed a survey of 21 questions to gather students' feedback on both VS Code and the VSCode Guidance at the end of the semester. The survey first collects information about students'backgrounds, then asks them to rate VS Code and the guidance based on their programmingexperience throughout the semester. We received a total of 82 valid responses, with 42 responsesfrom the Fall 2022 and 40 responses from the Spring 2023.First, we collected students' background

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)

analysis will then help us identify thebenefits and detriments of how the server is currently being utilized (RQ2) so we can thenprovide recommendations for those wishing to start their own departmental Discord server. Next, we will discuss our data collection strategies. Due to the server and its contentbeing public, we have already collected four semesters worth of individual course channelconversations. These semesters include Spring 2022, Summer 2022, Fall 2022, and Spring 2023.Discord does not allow user accounts to scrape data automatically, so we created a bot that wasadded to our server of interest and automated scraping conversations from all the server’s classchannels. We used a free, open-source tool called DiscordChatExporter 1

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)

project. Results of this choice are presented in the Results section.There was also a concern that the higher level of complexity of Python could lead to a lowerlevel of student achievement in the course. Python is a relatively easy language to learn,however MATLAB is even easier. Some faculty members felt that students learning Pythonmight progress more slowly and finish the course with fewer programming skills than those wholearned using MATLAB.An objective of this paper is to explore the extent to which the second concern is true. Studentwork from two different semesters is compared. Instruction during Fall 2022 used MATLABonly; during Fall 2023, most of the course was taught using Python. Assignments used in thispaper for comparison of

Conference Session

Programming Education 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

John Alexander Mendoza-Garcia, University of Florida

Tagged Divisions

Computers in Education Division (COED)

following this scheme for several years. Although encouraged to talkto each other, students are expected to create their solutions independently and not copy themfrom other students. The due dates in the course are mostly not flexible.2.4.2 The Experiment: Including an Engineering Design ProjectIn fall 2021 and spring 2022, students in that course were asked to complete an EngineeringDesign Project in addition to their programming work. To balance the course workload,homework was optional in one semester, while activities were optional in the other semester. Theexpected product students had to create was an App developed in MATLAB in which studentsimplemented their solution to a programming problem that they defined. For this projectdefinition

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Brayan A Díaz, North Carolina State University; Kevin Han, North Carolina State University

Tagged Divisions

Computers in Education Division (COED)

knowledge from their less familiar discipline, they didn't always achieve acomprehensive practical understanding of the class outcomes. The paper also discusses the merits anddrawbacks of employing both approaches to build an interdisciplinary class. The benefits, pros, and consof having both approaches to building an interdisciplinary class are discussed. IntroductionCollaborative skills have been widely recognized as the primary skills for success in 21st-century society(National Science Foundation, 2020; Engineers Australia, 2022; Engineering Council, UK, 2020). In thefield of STEM professions, the development of these collaborative skills is critical to work effectively ininterdisciplinary

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)

havetheir work shown here as an example of WheelsFX.7.0. Works Cited[1] A. S. Gillis, "object-oriented programming (OOP)," TechTarget, July 2021. [Online]. Available: https://www.techtarget.com/searchapparchitecture/definition/object-oriented- programming-OOP. [Accessed 26 December 2022].[2] "JavaTpoint," JavaTpoint, 2021. [Online]. Available: https://www.javatpoint.com/history- of-java. [Accessed 26 December 2022].[3] L. Yan, "Teaching Object-Oriented Programming with Games," in 2009 Sixth International Conference on Information Technology: New Generations, Las Vegas, 2009.[4] K. E. Sanders and A. Van Dam, Object-oriented Programming in Java: A Graphical Approach; Preliminary Edition, Pearson College Division, 2005.[5] W.-K. Chen

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)

Deep Learning Model Face Recognition Technology,” Scientific Programming, vol. 2022, pp. 1–10, 2022.[2] “ R. Verma, N. Bhardwaj, A. Bhavsar, and K. Krishan, “Towards facial recognition using likelihood ratio approach to facial landmark indices from images,” Forensic Science International: Reports, vol. 5, p. 100254, Oct. 2022.[3] “University of Toronto Exam Centre,” Montgomery Sisam. [Online]. Available: https://www.montgomerysisam.com/project/university-of-toronto-exam-centre/#:~:text=Pro gram%20spaces%20include%20two%20300,series%20of%20specialized%20testing%20faci lities. [Accessed: 23-Feb-2023].[4] “Facial point annotations,” i·bug - resources - Facial point annotations. [Online]. Available: https://ibug.doc.ic.ac.uk

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Ankunda Kiremire, Louisiana Tech University; Kevin A Cherry, Louisiana Tech University

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

practices,” July 2022, [Online; retrieved 22-July-2022]. [Online]. Available: https://aaas-arise.org/2022/07/05/student- centered-computing-teaching-computer-science-using-culturally-authentic-practices/[4] D. Hamilton, J. McKechnie, E. Edgerton, and C. Wilson, “Immersive virtual reality as a pedagogical tool in education: a systematic literature review of quantitative learning outcomes and experimental design,” Journal of Computers in Education, vol. 8, 07 2020.[5] V. W. Imed Bouchrika, Nouzha Harrati and G. Wills, “Exploring the impact of gamification on student engagement and involvement with e-learning systems,” Interactive Learning Environments, vol. 29, no. 8, pp. 1244–1257, 2021. [Online]. Available: https://doi.org/10.1080

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Deborah Moyaki, University of Georgia; Deborah Gbemisola Fabiyi, Washington State University; Nathaniel Hunsu, University of Georgia

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

. Publication Year 10 Number of Publications 8 6 4 2 0 2003 2005 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 YearFigure 2a: Article Distribution based on Publication Year Publication Type Conference

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2023 ASEE Annual Conference & Exposition

Authors

Ahmed Ashraf Butt, Purdue University at West Lafayette (COE); Saira Anwar, Texas A&M University; Muhsin Menekse, Purdue University at West Lafayette (COE)

Tagged Divisions

Computers in Education Division (COED)

.[6] K. Mite-Baidal, C. Delgado-Vera, E. Solís-Avilés, A. H. Espinoza, J. Ortiz-Zambrano, and E. Varela-Tapia, “Sentiment analysis in education Domain: A systematic literature review,” in Technologies and Innovation, R. Valencia-García, G. Alcaraz-Mármol, J. Del Cioppo- Morstadt, N. Vera-Lucio, and M. Bucaram-Leverone, Eds., Cham: Springer International Publishing, 2018, pp. 285–297.[7] Y. Sun, Z. Ming, Z. Ball, S. Peng, J. K. Allen, and F. Mistree, “Assessment of Student Learning Through Reflection on Doing Using the Latent Dirichlet Algorithm,” J. Mech. Des., vol. 144, no. 12, Sep. 2022, doi: 10.1115/1.4055376.[8] U. Naseem, I. Razzak, K. Musial, and M. Imran, “Transformer based Deep Intelligent

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2023 ASEE Annual Conference & Exposition

Authors

Neha B. Raikar, University of Maryland Baltimore County; Nilanjan Banerjee

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

the grade and create a grade sheet after reverse mapping the barcode with thestudent's name. This part is still under development. For our current data analysis, we performedmanual decoding. The manual reverse mapping is time-consuming and not scalable for largeclasses. Hence, we will be focusing on the development of the reverse mapping application next.Perform data collection and statistical analysisFigure 2 highlights the average course GPA for a Spring 2022 course in Chemical Biochemicaland Environmental Engineering course that one of the authors taught. The figure shows thatthere is a difference in the mean GPA across various ethnicities. The GPA difference can be aresult of various factors such as prior preparation, semester course load

Conference Session

The Best of Computers in Education Division (COED)

Collection

2024 ASEE Annual Conference & Exposition

Authors

John K. Estell, Ohio Northern University; Lisa Graham Robeson, Ohio Northern University; Ye Hong, Ohio Northern University; Stephany Coffman-Wolph, Ohio Northern University

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

First-Year Programs (FPD) and Computers in Education (CoED) divisions, and with the Ad Hoc Committee on Interdivisional Cooperation, Interdivisional Town Hall Planning Committee, ASEE Active, and the Commission on Diversity, Equity, and Inclusion. Estell has received multiple ASEE Annual Conference Best Paper awards from the Computers in Education, First-Year Programs, and Design in Engineering Education Divisions. He has also been recognized by ASEE as the recipient of the 2005 Merl K. Miller Award and by the Kern Entrepreneurial Engineering Network (KEEN) with the 2018 ASEE Best Card Award. Estell received the First-Year Programs Division’s Distinguished Service Award in 2019 and the 2022 Computers in Education

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)

classroom modality.In the fall of 2022, first-year ECE students were given a survey about their experiences in bothcourses. The same survey was given to sophomore ECE students, who persisted in the programand complete the aforementioned course sequence one year prior, asking them to reflect on theirfirst-year experience. A quantitative analysis of the Likert scale survey questions and adiscussion of themes present in the student responses are detailed in the next section.IV. Results and DiscussionResulting from 24 responses from students who began their university studies in the fall of 2021and fall of 2022, figure 1 shows a picture of the student experience with respect to usingtechnology for learning. For the survey responses, rarely was defined

Conference Session

COED: Cybersecurity Education

Collection

2023 ASEE Annual Conference & Exposition

Authors

Fitratullah Khan, The University of Texas, Rio Grande Valley; Ala Qubbaj, The University of Texas, Rio Grande Valley; Laura Saenz; Liyu Zhang, The University of Texas, Rio Grande Valley

Tagged Divisions

Computers in Education Division (COED)

ofoverhauling the curricula was supported by a federal grant awarded through Texas HigherEducation Coordinating Board (THECB) in early 2022 [1]. The motivation of the grant viaTHECB was to have an educational institution contribute towards 60x30TX educational goalwhich is to have 60% or more of 25–34-year-old Texans secure a certificate or a degree by theyear 2030 [2]. Increasing the number of accelerated credentials embedded in higher educationdegrees is meant to allow students to secure certificates even when some of the students cannotcomplete a degree due to any reason. This can also be viewed as stackable milestones, or stacks,being achieved while pursuing a degree rather than a binary result of either obtaining a degree ordropping out

Conference Session

COED: Skills for Moving from Computing Student to Professional

Collection

2023 ASEE Annual Conference & Exposition

Authors

Mary Kay Camarillo, University of the Pacific; Elizabeth Basha, University of the Pacific

Tagged Divisions

Computers in Education Division (COED)

Analysis. It is a graduate course, open to allengineering and computer science majors. Although an introductory statistics course is notrequired, it is recommended. The course has been taught four times since 2016, evolving from anapplied statistics course into a data science course. Previously, much of the course content wascentered on statistics and practice of statistical concepts using textbook problems with a finalproject applying these concepts to a real-world data set. The last time that the course was taught,in Fall 2022, the statistics content was reduced, a textbook was not used, and the course almostexclusively relied on real-world data sets for lecture examples and homework assignments. Table2 outlines the lecture topics covered. In

Conference Session

COED Modulus Topics

Collection

2023 ASEE Annual Conference & Exposition

Authors

Mudasser Fraz Wyne, National University; Alireza Farahani; Esmaeil Atashpaz-Gargari; Lu Zhang, National University

Tagged Divisions

Computers in Education Division (COED)

, L., “Multi-Semester Course StaffingOptimization”, In the proceedings for 2022 ASEE Annual Conference & Exposition, June 26-29,Minneapolis, MN, 2022.[2] T. A. Ta, T. Mai, F. Bastin and P. L'Ecuyer, "A Logistic Regression and Linear ProgrammingApproach for Multi-Skill Staffing Optimization in Call Centers" 2022 Winter SimulationConference (WSC), Singapore, 2022, pp. 3087-3098, doi: 10.1109/WSC57314.2022.10015281.[3] Darmanto, E., Siregar, M. , Hayadi, B., Renwarin, J., Asfar, D., Sulissusiawan, A., Anam, S.,and Fatmawati, I., “Decision Support System for Staff Assignment Using VIKOR Algorithm”,Journal of Physics Conference Series, March 2021.[4] J. Wang, "Patient Flow Modeling and Optimal Staffing for Emergency Departments: A PetriNet

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)

apply them [13]. Likewise, ML isseen as a difficult topic to learn and understand, one that cannot be attempted without years ofeducation in computer science and mathematics. In short, most engineering faculty and studentsdo not know where to begin when implementing or teaching ML in practical applications. Thispaper introduces a course that attempts to fill some of these gaps for our engineering students.Course contentIn spring of 2022 the author taught a course at Louisiana Tech University titled “Machine Learningin Predictive Maintenance.” The purpose of this course was to introduce engineering students tomachine learning concepts centered on a real-world application of the technology. Nine studentscompleted the course, five from Mechanical

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)

flipped machinelearning classes offered during the spring and fall semesters of 2022. The flipped modules of thiscourse include video lectures that vary in length, ranging from 4 to 20 minutes. Depending on thevideo's length, we required students to finish between three to seven video lessons before classtime. To analyze student interaction with videos of different lengths, we statistically analyzed thevideo coverage from different modules and used surveys to gather students' preferences for videolength. Our analysis indicated that the number of students completing videos before class timesignificantly decreased as video duration increased. However, once students started a video, theycompleted most of it irrespective of its length. Statistical

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)

, “Using natural language processing technology for qualitative data analysis,” International Journal of Social Research Methodology, vol. 15, no. 6, pp. 523–543, Nov. 2012, doi: 10.1080/13645579.2011.625764.[4] P. Pandiaraja, K. B. Boopesh, T. Deepthi, M. Laksmi Priya, and R. Noodhana, “An Analysis of Document Summarization for Educational Data Classification Using NLP with Machine Learning Techniques,” in Applied Computational Technologies, B. Iyer, T. Crick, and S.-L. Peng, Eds., Singapore: Springer Nature Singapore, 2022, pp. 127–143.[5] G. Yang, N.-S. Chen, Kinshuk, E. Sutinen, T. Anderson, and D. Wen, “The effectiveness of automatic text summarization in mobile learning contexts,” Computers & Education, vol. 68, pp

Conference Session

Programming Education 2

Collection

2024 ASEE Annual Conference & Exposition

Authors

Tyler James Stump, The Ohio State University; Abbey Darya Kashani Motlagh, The Ohio State University; Krista M Kecskemety, The Ohio State University

Tagged Divisions

Computers in Education Division (COED)

Paper ID #42069Student Experiences with Parsons Problems in a First-Year Engineering CourseTyler James Stump, The Ohio State University Tyler Stump is a first year Ph.D. student in the Department of Engineering Education at The Ohio State University. Tyler received his B.S.in Biosystems Engineering at Michigan State University in 2022 and received his M.S. from Michigan State University in 2023. His engineering education interests include first-year engineering student experiences, computing education, and how to foster and develop creativity within programming courses.Abbey Darya Kashani Motlagh, The Ohio State

Conference Session

COED: Online and Remote Learning

Collection

2023 ASEE Annual Conference & Exposition

Authors

James Edward Toney, The Ohio State University

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

sections. In the Fall 2022 semester, we piloted aself-paced, mastery-learning model for the online section, while the in-person sections continuedto follow a traditional format.Mastery LearningThe mastery learning approach was articulated in the 1960s by Bloom [1], who saw it asenabling nearly all students to achieve mastery of a subject, despite variations in aptitude andlearning styles. The essential idea, which derives from Carroll [2], is that variations in aptitudedo not imply differences in the capacity to master the material, only to differences in the timerequired to achieve mastery. Mastery learning is therefore closely linked to self-pacedinstruction.A review of prior work on mastery learning in computer science education is given in [3

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)

Cornerstone Projects will becompared. Project 1 took place during the spring of 2022 and was comprised of a windmillpower generation system. Students constructed this windmill and used Arduino programming tointerpret sensor data and calculate system performance. Project 2 took place during the 2022summer semester and was comprised of a water filtration system. In this project, students utilizedthe Arduino to both observe system information and control its behavior.At the end of each of these semesters, students took a survey in which they provided theirperceptions of the programming instruction they received, in addition to expressing theirconfidence in programming. Results of these questions from Spring 2022 (Project 1) andSummer 2022 (Project 2

Conference Session

COED: All about That Math

Collection

2023 ASEE Annual Conference & Exposition

Authors

Tagged Divisions

Computers in Education Division (COED)

term of 2021, the Aplic Triang mobileapplication [4] was used for the first time in an experimental group and compared with a controlgroup, finding a significant difference in the time a student takes to solve one exercise [5]. Then,in the spring of 2022, the Aplic Triang mobile application was used to demonstrate that thesignificant difference in the time reduction was not related to the teacher's expertise but to thedidactic strategy that included the mobile app. This paper presents the didactic strategy in classto use the app, some of the mobile app characteristics, the result of the test applied, and, finally,the conclusions of the work.Literature reviewSeveral authors state that the positive correlation between learning results and

Conference Session

COED: All about That Math

Collection

2023 ASEE Annual Conference & Exposition

Authors

Yael Gertner, University of Illinois, Urbana-Champaign; Juan Alvarez, University of Illinois, Urbana-Champaign; Benjamin Cosman; Jennifer R. Amos, University of Illinois, Urbana-Champaign

Tagged Divisions

Computers in Education Division (COED)

introduction to programming courses. In this paper we focus onanother important gateway course in the computing sequence: Discrete Math. This courseinvolves conceptual problem solving that requires students to think about a problem andconceptually understand it before starting to work on it. This might require different studybehaviors than those needed when working to compile code where trial and error might helpforge a way towards a solution. The theoretical mathematical nature of the course mightalso alter students motivation.2 MethodsOur goal was to discover student profiles that might be associated with performance in aDiscrete Math course. We surveyed students in two different offerings of the course Fall2021 and Spring 2022 and checked to

Conference Session

The Best of Computers in Education

Collection

2023 ASEE Annual Conference & Exposition

Authors

Andrew Rukangu, University of Georgia; John Ray Morelock, University of Georgia; Kyle Johnsen, University of Georgia

Tagged Divisions

Computers in Education Division (COED)

, UR101 IntroductionRobotics is considered to be one of the most engaging and tangible subjects in Engineering (Van Dyne and Fjermestad,2012; Passos et al., 2022). However, certain kinds of robotics, such as small mobile robots, are more often featured inpractical engineering coursework due to safety and cost constraints (McLurkin et al., 2013). As a result, engineeringstudents may never get direct practice working with certain types of robotic equipment, such as robotic arms, despitethat equipment being vital to modern industry (Gomes and Bogosyan, 2009). In these cases, some instructors haveturned to simulations and virtual reality (VR) to provide exposure (Rukangu et al., 2021; Cassola et al., 2021). However,simulations rarely emulate a

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)

focuses on the impact of immediate automated feedback and optional no-credit codingassignments on students’ engagement with course content, performance, and academic integrityin three offerings of a MATLAB programming course offered by an engineering department at alarge public research university. The course was offered remotely in the winter 2021 and inhyflex modality [39] in the winter quarter of 2022. These offerings coincided with theCOVID-19 pandemic, when many university campuses, including our own, were shut down oroperating under restrictions for health and safety reasons.Figure 1. Distribution of structures across (a) college level, (b) gender (M = male, F = female) and URM, first-generation, and transfer status (Y = yes, N = no), and

Conference Session

COED Modulus Topics

Collection

2023 ASEE Annual Conference & Exposition

Authors

Martha Cervantes, Johns Hopkins University ; Raphael Norman-Tenazas; Adam Goertz; Erik C. Johnson, University of Illinois, Urbana-Champaign; William Roberts Gray-Roncal

Tagged Divisions

Computers in Education Division (COED)

, Li He, and Fumin Zhu. "Swarm robotics control and communications: Imminent challenges for next generation smart logistics." IEEE Communications Magazine 56, no. 7 (2018): 102-107.9. Pickem, Daniel, Paul Glotfelter, Li Wang, Mark Mote, Aaron Ames, Eric Feron, and Magnus Egerstedt. "The robotarium: A remotely accessible swarm robotics research testbed." In 2017 IEEE International Conference on Robotics and Automation (ICRA), pp. 1699-1706. IEEE, 2017.10. Jones, Simon, Emma Milner, Mahesh Sooriyabandara, and Sabine Hauert. "DOTS: An open testbed for industrial swarm robotic solutions." arXiv preprint arXiv:2203.13809 (2022).11. Dhanaraj, Neel, Nathan Hewitt, Casey Edmonds-Estes, Rachel Jarman, Jeongwoo Seo, Henry Gunner