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)

] and measured to what extent students felt included,valued and respected. We used this scale with the purpose of exploring students’ sense ofbelongingness, specifically in CS, and modified the items to include “in computing.” Adefinition of computing was also included, “Computing is defined as doing things like making anapp, coding, fixing a computer or mobile device, creating games, making digital music, etc.”Sample questions then asked students to indicate the extent to which they agreed with statementssuch as, “I feel comfortable in computing” and “Compared with most other students at myschool, I know how to do well in computing.”Self-Efficacy: Self-efficacy captures students’ beliefs that they can accomplish designated tasks[38] related to

Conference Session

COED: Skills for Moving from Computing Student to Professional

Collection

2023 ASEE Annual Conference & Exposition

Authors

Stephanie Jill Lunn, Florida International University; Veon Brewster, Florida International University

Tagged Divisions

Computers in Education Division (COED)

job seekers. The system, called VirtualInterview (VI)-Ready, offers an immersive role-play of interview scenarios with 3D virtual agentsserving as hiring managers. We applied Bandura’s concept of self-efficacy as we investigated: 1)overall impressions of the system; 2) the impact on students’ job interview preparedness; and 3)how internal perceptions of interview performance may differ from external evaluations by hiringmanagers. In our study, we employed a convergent parallel mixed methods approach.Undergraduate and graduate students (n = 20) underwent virtual job interviews using theplatform, each interacting with one of two different agents (10 were randomly assigned to each).Their interactions were video recorded. Participants then

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)

dataset. This dataset incorporated condition-base scaling to account for the six operational modes within the data (Figure 3), as each mode could have its own nominal sensor values and failure points. Studentswere instructed to write a report showing their models’ performance: Figure 4 shows onestudent’s visualization of their RNN model, measuring the predicted RUL value to the test data’sRUL value for five engine units. The model’s performance accounted for 30% of their grade,compared to a baseline linear regression model with no data processing. Figure 4. Final Project RNN Model Performance (From Student’s Final Project)Results of pre and post course surveysA self-efficacy survey was selected as the primary

Conference Session

COED Programming Education 2: Instructional Approaches

Collection

2023 ASEE Annual Conference & Exposition

Authors

Richard Whalen, Northeastern University; Joshua L. Hertz, Northeastern University

Tagged Divisions

Computers in Education Division (COED)

introduction to hardware applications. Oncethey have gained facility in the programming language, they then apply this knowledge tohardware applications. In an alternative approach being piloted during this study, students areintroduced to programming and algorithmic thinking via the hardware applications; the material isintroduced concurrently instead of sequentially.Findings from pre and post-surveys indicate that students taught using both approaches had similarimprovements in self-efficacy to code and build projects with basic circuitry. In addition, moststudents appreciated the approach used in their class; if taught with a hardware-first approach, theythought a hardware-first approach provides greater learning, and if taught with a software

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)

differences in GPA alone. Analysis of students’survey responses shows that real-time feedback and unlimited submission attempts helpedstudents assess their learning progress and motivated them to continuously improve theirsolutions. Instant feedback and unlimited submission attempts were regarded by students aslikely having positively impacted academic integrity in the course. The effect of automatedfeedback and optional assignments on students’ need to visit office hours is explored.Implications for future pedagogical practice and research are discussed.IntroductionTimely and effective feedback provided to students on their submitted work has the potential tosignificantly enhance learning, improve student self-efficacy, reduce drop-out rates, and

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)

experiences and projects are important partsof learning. Later, Kolb, in his Experiential Learning Cycle (KLC) [2], placed large importance onexperiencing and applying/doing as essential elements of optimal learning. Positive experientiallearning from accomplishing successful projects is also emphasized as an important component ofincreasing self-efficacy [3]. Therefore, it is not surprising that KLC implementations were reportedin most of the engineering disciplines like civil engineering [4] – [6], mechanical engineering [6],chemical engineering [4], [5], [7], aeronautical engineering [6], industrial engineering [8], andmanufacturing engineering [4], [5], [9]. Bansal and Kumar [10] describe a state-of-the-art IoTecosystem that includes edge devices

Conference Session

COED: Computing in K-12 / Early Childhood Education

Collection

2023 ASEE Annual Conference & Exposition

Authors

Jaejin Hwang, Northern Illinois University; sungchul lee, Sun Moon University, South Korea; Yanghee Kim; Mobasshira Zaman, Northern Illinois University; Sobhit Pokhrel

Tagged Divisions

Computers in Education Division (COED)

Paper ID #37589Active Project: Supporting Young Children’s Computational ThinkingSkills Using a Mixed-Reality EnvironmentDr. Jaejin Hwang, Northern Illinois University Dr. Jaejin Hwang, is an Associate Professor of Industrial and Systems Engineering at NIU. His expertise lies in physical ergonomics and occupational biomechanics and exposure assessment. His representative works include the design of VR/AR user interfaces to minimize the physical and cognitive demands of users. He specializes in the measurements of bodily movement as well as muscle activity and intensity to assess the responses to physical and environmental

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)

Invisible Understaffing Epidemic | Learning Innovation.," [Online]. Available: https://www.insidehighered.com/blogs/learning-innovation/higher- ed%E2%80%99s-invisible-understaffing-epidemic. [Accessed 6 2 2023].[9] L. Boyle and J. P. M. Reid, "Turning Office Hours into Study Sessions: Impacts on Students' Homework and Exam Grades," in 2021 ASEE Virtual Annual Conference Content Access, Virtual Conference, 2021.[10] R. V. Adams and E. Blair, "Impact of Time Management Behaviors on Undergraduate Engineering Students' Performance," SAGE Open, vol. 9, p. 215824401882450, January 2019.[11] T. A. B. Sophia Lerner Pink and S. Sheppard, "What Makes an Inquisitive Engineer? An Exploration of Question-Asking, Self-Efficacy, and