Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Valerie A Carr, San Jose State University; Jennifer Avena, University of Northern Colorado; Maureen Smith; Wendy Lee, San Jose State University; David Schuster, San Jose State University; Belle Wei, San Jose State University

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

data science, bioinformatics, and applied computing for the social sciences.These programs are designed to provide students with both domain knowledge and computingskills to better prepare them for today’s increasingly digital world. To benefit from theseprograms, however, students first need awareness that these opportunities exist. Furthermore,students majoring in non-computer science/engineering fields are often not provided withlearning experiences that foster their self-efficacy in pursuing computing courses, thus limitingtheir future educational and career choices [1 - 3]. Students from historically marginalizedcommunities, shown to be enrolled at higher rates in community colleges than in 4-yearinstitutions, are particularly affected by

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Sweni Shah; Hamid S Timorabadi P.Eng., University of Toronto; Sanjana Dasadia; Samreen Khatib Syed; Doaa Muhammad, University of Toronto

Tagged Divisions

Computers in Education Division (COED)

revealed 99.7% of matches as valid, indicating mentors and mentees sharedtwo or more similarities.IntroductionSuccessful mentorship in engineering education by Akerele, Vermeulen, and Marnewick [1],demonstrates the pivotal role of mentorship in transforming theoretical knowledge into practicalskills. A study published in the International Journal for Academic Development indicates thatstudents with mentors exhibit a higher likelihood of successfully completing their engineeringdegrees and actively pursuing careers in the field [2]. In response to the limitations of existingresources, MentorMate introduces an automated solution with a matching algorithm aimed atsimplifying and expediting the mentorship process. Our objective is to devise an

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)

capable?" - "Do you have any specific career goals or aspirations? Are there industries or professions you're drawn to?" - "Would you like to work remote, at the office or outdoors?” - "What is your salary expectation?" - "Outside of academics, what do you enjoy doing in your free time? Are there any hobbies or extracurricular activities that you're passionate about?" - "What learning environment do you prefer? Some students thrive in small, interactive classes, while others prefer larger lecture-style classes."The above changes have led to the revised architecture / algorithm shown in figure 2 below.Figure 2 - Current Architecture of Bark PlugAs stated earlier, Bark Plug’s system is designed to generate contextual responses

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)

mechanisms to better support student learning and improve theoverall nature of computing courses. As a result of this, computation has been integrated intonumerous first-year engineering courses to expose students to introductory computing activitiesto improve student learning early in their post K-12 career. Introductory programming coursessuch as these first-year engineering courses have been a significant context to study as thechallenges associated with novice programmers have been a focus of scholarly work withincomputing education research both for the students themselves and the instructors [2,3].The challenges students face in introductory programming has been a focus for computingeducation and engineering education researchers investigating

Conference Session

ML and Generative AI Tools and Policies

Collection

2024 ASEE Annual Conference & Exposition

Authors

Lucas J. Wiese, Purdue University at West Lafayette; Alejandra J. Magana, Purdue University at West Lafayette

Tagged Divisions

Computers in Education Division (COED)

the use of LLMs is“considered to be engaging in academic dishonesty and will be subjected to the university’spolicies for academic dishonesty.” In some cases, this verbiage was included without furtherexplanation. In other cases, these lines of legalese were alongside language that LLMs arecounterproductive to learning and that there is a risk of the generated output being incomplete,biased, or incorrect, and thus hurting the student’s grade in the course. One faculty summarizedthese positions as: “Don’t cheat. It’s not worth it. You won’t like what happens. Don’t let one baddecision ruin your academic career.”5.2.2. DiscouragedThe usage of LLMs in the classroom is discouraged, but in the case that it is used, it is requiredto disclose and

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Ella Kokinda, Clemson University; D. Matthew Boyer, Clemson University

Tagged Divisions

Computers in Education Division (COED)

their learning experiences into something meaningful and tailored to their expectedexperiences [3]. Within the workplace, professionals use informal learning for continuingeducation, seeking help, gathering information, finding support or feedback, collaborating, andgaining further experience for both their career and private lives [4, 5]. However, despite researchshowing the benefits of informal learning opportunities, many individuals and organizations pushfor formal education over informal or mixed educational pathways [6].Informal education and opportunities in STEM help bridge the gap between formal education andreal-world experiences and foster continuing education throughout a career and beyond [7, 8].Specifically within computer science

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)

resource for realtime student evaluation.Future WorkThe authors plan on implementing the In Class Datastorm challenges across all sections of ourprogram’s sophomore Data Structures class initially, and then all our freshmen classeseventually.We also plan on hosting our first day long Datastorm event in the near future. Our institution hassuccessfully held a similar event called Cyberstorm [7] at least annually over the last 14 years.Cyberstorm has shown great success in increasing the visibility of both our institution’s CyberEngineering program as well as the Cybersecurity field of our Computer Science program. It hasalso served to increase student and community engagement in the field, and encourage students topursue careers in these areas. We

Conference Session

The Best of Computers in Education Division (COED)

Collection

2024 ASEE Annual Conference & Exposition

Authors

Phyllis J. Beck, Mississippi State University; Mahnas Jean Mohammadi-Aragh, Mississippi State University

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

barriers to foster an environment where diverse and creative people are successful in the pursuit of engineering and computing degrees. Jean’s efforts have been recognized with numerous awards including the National Science Foundation Faculty Early Career Development award, the American Society for Engineering Education John A. Curtis Lecturer award, and the Bagley College of Engineering Service award. Jean earned her B.S. and M.S. in computer engineering from Mississippi State University, and her Ph.D. in engineering education from Virginia Tech. ©American Society for Engineering Education, 2024 An Initial Investigation of Design Cohesion as an IDE-based Learning Analytic for

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Ibukun Samuel Osunbunmi, Pennsylvania State University; Stephanie Cutler, Pennsylvania State University; Viyon Dansu, Florida International University; Yashin Brijmohan, University of Nebraska, Lincoln; Bolaji Ruth Bamidele, Utah State University; Abasiafak Ndifreke Udosen, Purdue University, West Lafayette; Lexy Chiwete Arinze, Purdue University, West Lafayette; Adurangba Victor Oje, University of Georgia; Deborah Moyaki, University of Georgia; Melissa J Hicks, Pennsylvania State University; Bono Po-Jen Shih, Pennsylvania State University

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Diversity

Tagged Divisions

Computers in Education Division (COED)

personalize the learning experience, leading to adeeper understanding of subject matter, self-regulated learning, improved accuracy of studentdata analytics, and enhancement of essential skills for industrial careers. Supporting this finding,Chen et al. [9] observed a high performance on quizzes focused on assessing business students’ability to recollect and understand conceptual knowledge alongside a consensus on the use ofchatbots to foster higher-order skills such as critical thinking. Similarly, Hwang and Chang [10]highlighted the interactive feature of chatbots as a means of fostering deeper engagement withcourse concepts through conversations that go beyond text and videos.The utility of GAI for assessment has been explored with assessment

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Lisa Cullington, Sacred Heart University; Mary V Villani, Farmingdale State College, SUNY, New York; Nur Dean, Farmingdale State College, SUNY, New York; Moaath Alrajab, Farmingdale State College, SUNY, New York; Arthur Hoskey, Farmingdale State College SUNY, New York; Ilknur Aydin, Farmingdale State College, SUNY, New York

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Diversity

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Computers in Education Division (COED)

research community and to ultimately broaden participation. Dr. Villani is the co-advisor of the Supporting Women in Computing Club where she has mentored many women students in the program. Dr. Villani is the recipient of the Chancellor’s Award for Teaching Excellence, 2012. Prior to joining FSC, Dr. Villani had a 15 year computer consulting career in the Risk Management and Insurance Industry.Dr. Nur Dean, Farmingdale State College, SUNY, New York Nur Dean is an Assistant Professor in the Computer Systems Department at Farmingdale State College in New York. She obtained her PhD in Computer Science from The Graduate Center, City University of New York and holds an M.S. in Applied Mathematics from Hofstra University in New

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)

building code of Florida. Najafi is a member of numerous professional societies and has served on many committees and programs; and continuously attends and presents refereed papers at international, national, and local professional meetings and conferences. Lastly, Najafi attends courses, seminars, and workshops and has developed courses, videos, and software packages during his career. Najafi has more than 300 refereed articles. His areas of specialization include transportation planning and management, legal aspects, construction contract administration, public works, and Renewable Energy. ©American Society for Engineering Education, 2024 Exploring Student

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)

careers. Python is popular, accordingto the PYPL index [25] and Stackoverflow Developer Survey 2021 [30], Python is the mostpopular and the fastest-growing programming language (10.4%) in the world as of June 2022.2.2. Pedagogical ApproachesProgramming language plays an important role in computing education. Many systematic studiesexplore the teaching in introductory-level programming classes [14, 21, 27, 28]. Through ourobservation, a tremendous amount of research has been done on how the programmingenvironment can improve students' coding experience in recent years, especially theprogramming environment for Java and Python, which are the most taught entry-levelprogramming languages in college. The selection of the programming environment is

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)

languages due to its widespread use globally. In theUSA, the engineering disciplines use language as a major means of communication [1] . Becauseof engineers' heavy usage of English, engineering students studying in the United States whowish to pursue their careers in the USA must have a strong grasp of the language in both oral andwritten form [1] .However, engineering students from countries that do not have English as their primary languageoften struggle to comprehend or use English effectively in their work [1][2][3]. One of theproblems with students not being able to use English fluently is that when writing in English,engineering students fail to effectively and accurately utilize sentence structures [4]. The use ofthe English language is a

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)

the success of any technology depends on theend users [16], we must investigate learning technologies that characterize foundationalengineering courses to ensure effective implementation in preparing engineering learners forfuture careers. Furthermore, there is a need to develop and make available validatedinstruments for measuring technology acceptance-related factors towards a standardizedunderstanding of the literature.Presently, we observed adoption and acceptance to be used interchangeably in most of thereviewed studies and propose that a clear distinction be made by researchers in theirpublications. This distinction enables instructors to identify literature relevant to theirclassroom or institutional phase, yielding positive impacts

Conference Session

ML and Generative AI Tools and Policies

Collection

2024 ASEE Annual Conference & Exposition

Authors

Alyson G. Eggleston, Pennsylvania State University; Robert J. Rabb P.E., Pennsylvania State University

Tagged Divisions

Computers in Education Division (COED)

in medical research isprocessed to yield more concise, readable text. This article was chosen because it was publishedbefore LLM-based applications existed [21]. 1a. Input Text 1b. Tuned for Conciseness TEXT TEXT Figure 1: WordTune Text Results, Tuned for Conciseness.Module 2: LLM-assisted Summaries for Comprehension – Explainpaper, CopyaiSometimes, early career engineering writers are blocked by fear of the blank page, fear of failing,and general anxiety around writing. It can be helpful to jumpstart the process. Copyai [22] is atool that essentially trains users in high quality prompt engineering, adopting a visual graphicuser interface that narrows the writer’s needs down by interest area. For example, in Figure 2below

Conference Session

Cybersecurity Topics

Collection

2024 ASEE Annual Conference & Exposition

Authors

Heena Rathore, Texas State University; Henry Griffith, San Antonio College

Tagged Divisions

Computers in Education Division (COED)

with numbers to find the hidden treasure. Additionally, an alternative encryption approachinvolved Secret Decoder Wheel created by INL, where letters were matched with symbols, allow-ing for encoding messages to describe the treasure locations in symbols for students to decode andfind.Similarly, in 14 was developed exclusively for grades third to eight where the students had to solveCaesar shift encryption algorithm. The author designed a worksheet and organized a scavengerhunt for an all-girls STEM-careers camp, catering to ages 6-12. They facilitated the completion ofthe worksheet collectively and split the participants into two age-based groups for the scavengerhunt. The author reflects that the activity effectively introduces children to

Conference Session

Spotlight on Diverse Learners

Collection

2024 ASEE Annual Conference & Exposition

Authors

Isabella Gransbury, North Carolina State University; Monica M. McGill, Institute for Advancing Computing Education; Leigh Ann DeLyser

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

how many students know about CSopportunities in the community and their schools.Experience, the final component of CAPE, relates to students’ outcomes from CS courses andactivities. Examples of these outcomes include cognitive gains, interest, and awareness ofcomputing careers. Equitable Experience means that these outcomes are equitable across studentsubgroups [8]. Prior research in Experience investigated student content in an introductory CScourses [26–28], interest in computing [29], attitudes [24], and relevance of computing in thelives of underrepresented students [30]. Although this is the most studied component of CAPE,there are also gaps in areas that have been shown to impact academic achievement [31].3 Research MethodsTo answer our

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Gerry A Pedraza, Texas A&M University; Sunay Palsole, Texas A&M University

Tagged Divisions

Computers in Education Division (COED)

feedback from faculty, instructional designers, andother experts in the field, ensures its alignment with real-world educational needs.Keywords: AI, Instructional Design, Online Transition, Online Education, e-learning, OpenAI,Python, Time Saving Strategies for Faculty, Lecture Capture, Repurposing Video Lectures.IntroductionThe landscape of higher education, particularly in engineering, is indeed undergoing a significanttransformation, with a marked increase in the demand for online engineering education. Thissurge is driven by professionals seeking career advancement in a rapidly evolving technicallandscape and the need for upskilling and reskilling among experienced engineers. However, thecreation of top-tier online courses presents

Conference Session

Cybersecurity Topics

Collection

2024 ASEE Annual Conference & Exposition

Authors

Mahmoud K Quweider, The University of Texas Rio Grande Valley; Liyu Zhang; Alexis Aaron De La Cruz

Tagged Divisions

Computers in Education Division (COED)

allowed students tocatch up on any issues that arose during the labs. Sometimes, the TA created extra hands-on whenstudents were not clear on some of the concepts the professor covered in class. Feedback fromcourse evaluation was positive overall, and many liked the course split between theory andpractice, between professor of instruction and lab TAs. We are currently collecting data from thecourse evaluations, and we hope to analyze the data and present the results in future work.Conclusions and Future WorkThis paper presented a comprehensive framework for teaching cloud computing in highereducation. The framework forces the student to use the Cloud throughout his academic career insuch a way that prepares him for certification as well as entry

Conference Session

Simulations and Virtual Learning

Collection

2024 ASEE Annual Conference & Exposition

Authors

J Cecil, Oklahoma State University

Tagged Divisions

Computers in Education Division (COED)

immersive training and learning in medicine, advanced Manufacturing engineering and space systems He is a Pioneer in the creation of virtual and mixed reality based cyber learning approaches to support STEM and Engineering learning at both k12 and University levels. He directs The long-running Soaring Eagle program which targets underrepresented and minority students and encourages them towards STEM programs and careers. For his work in mentoring under-represented students, he was awarded the presidential PAESMEM award by the White House. He has published more than 150 refereed conference and journal papers ©American Society for Engineering Education, 2024 Innovative Next Generation

Conference Session

Teaching with ML and Generative AI

Collection

2024 ASEE Annual Conference & Exposition

Authors

Anthony Cortez, Point Loma Nazarene University; Paul Daniel Schmelzenbach, Point Loma Nazarene University

Tagged Divisions

Computers in Education Division (COED)

and integrated into a first-year introductory engineering course toexplore the possible benefits of providing students with AI-generated feedback. This course is anintroduction to engineering as a career, including problem solving, engineering disciplines,design, teamwork, and communication. It also serves as an introduction to multiple tools andtechniques used by engineers, including data analysis, numerical methods, error analysis, and theuse of computers for solving problems in physics and engineering. The course is structured inchronological order according to the following learning outcomes: 1. Understand the basics of the engineering profession, including problem solving, design, teamwork, and creativity. 2. Develop skills

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)

Paper ID #43386Moving from Matlab to Python in a First-Year Engineering ProgrammingCourse: Comparison of Student Achievement and Assessment of Self-LearningDr. Robert Scott Pierce P.E., Western Carolina University Robert Scott Pierce is an Associate Professor of Engineering and Technology at Western Carolina University. He received his Ph.D. in mechanical engineering from Georgia Tech in 1993. Prior to his teaching career, he spent 14 years in industry designing automated positioning equipment.Dr. Chaitanya Borra, Western Carolina University ©American Society for Engineering Education, 2024

Conference Session

Robotics and Circuits

Collection

2024 ASEE Annual Conference & Exposition

Authors

Carlotta A Berry, Rose-Hulman Institute of Technology; Katie Nicole Faith Collins, Rose-Hulman Institute of Technology; Alejandro Marcenido Larregola, Rose-Hulman Institute of Technology

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

Engineering Education (ASEE) fellow, ASEE Electrical and Computer Engineering Division Distinguished Engineering Educator, Grace Hopper Celebration Educational Innovation Abie Award, Institute of Electrical and Electronic Engineers Undergraduate Teaching Award, Indiana Business Journal Women of Influence, and Society of Women Engineers Distinguished Engineering Educator.Katie Nicole Faith Collins, Rose-Hulman Institute of TechnologyAlejandro Marcenido Larregola, Rose-Hulman Institute of Technology Alejandro Marcenido is a senior Mechanical Engineer with minors in Robotics, Computer Science, Economics, and Entrepreneurial Studies. He is an international student from Spain, Madrid, and will be pursuing a career in robotics

Conference Session

Programming Education 2

Collection

2024 ASEE Annual Conference & Exposition

Authors

Edward Dillon, Morgan State University; Krystal L. Williams, University of Georgia; Ashley Simone Pryor, Morgan State University; Theodore Wimberly Jr., Morgan State University; Mariah McMichael, Morgan State University; Abisola Mercy Arowolaju; Donald Bernard Davis, Morgan State University; Toluwanimi Ayodele, Morgan State University

Tagged Divisions

Computers in Education Division (COED)

Faculty in Residency at Google during the summer of 2018 to learn more about this company’s culture, practices, and to understand the expectations for candidates (e.g. aspiring CS majors) who pursue career opportunities at this company and related prominent companies in tech.Krystal L. Williams, University of GeorgiaAshley Simone Pryor, Morgan State University College junior and Vice President of the Society for the Advancement of Computer Science, a Morgan State University ACM chapter. Active member of Morgan State’s Women in Computer Science organization.Theodore Wimberly Jr., Morgan State UniversityMariah McMichael, Morgan State UniversityAbisola Mercy ArowolajuDonald Bernard Davis, Morgan State UniversityToluwanimi Ayodele

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

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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

Spotlight on Diverse Learners

Collection

2024 ASEE Annual Conference & Exposition

Authors

Manuel A. Pérez-Quiñones, University of North Carolina; Debarati Basu, Embry Riddle Aeronautical University

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

succinctly: “based on decades of researchand analysis, racial disparities in STEM careers do not rest on individual deficiency in candidatesor even primarily on the individual racism of institutional and organizational gatekeepers. Racismis embedded in our society” [11].4 Proposed definition of equity in CS educationIn this section, we present our proposed definition of equity adapted for computing educationfrom a definition of equity in health [9] proposed by Braveman and Gruskin [9], presented insection 2.1, and in parallel with the other definitions of equity discussed in section 2.2.Paraphrasing the health definition for computing education gives us:Equity in CS Education is the absence of systematic disparities in educational outcomes

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)

Conference Session

Teaching with ML and Generative AI

Collection

2024 ASEE Annual Conference & Exposition

Authors

Abdulrahman AlRabah, University of Illinois Urbana-Champaign; Sophia Yang, University of Illinois Urbana-Champaign; Abdussalam Alawini, University of Illinois Urbana-Champaign

Tagged Divisions

Computers in Education Division (COED)

Paper ID #43159Optimizing Database Query Learning: A Generative AI Approach for SemanticError FeedbackAbdulrahman AlRabah, University of Illinois Urbana-Champaign Abdulrahman AlRabah is a Master of Science (M.S.) in Computer Science student at the University of Illinois at Urbana-Champaign. He holds a Graduate Certificate in Computer Science from the same institution and a Bachelor of Science in Mechanical Engineering from California State University, Northridge. He has experience in various industries and has served in multiple roles throughout his professional career, including in oil and gas and co-founding a food &