Conference Session

COED Programming Education 1: Students, Motivation, and Mastery

Collection

2023 ASEE Annual Conference & Exposition

Authors

Ryan Parsons, Western Washington University; Qiang Hao, Western Washington University; Lu Ding, University of South Alabama

Tagged Divisions

Computers in Education Division (COED)

Paper ID #39646Exploring Differences in Planning between Students with and withoutPrior Experience in ProgrammingRyan Parsons, Western Washington University Ryan Parsons has taught introductory Computer Science for 6 years at Whatcom Community College. He served as the Program Coordinator for the newly created Software Development program there. He has been working on his Master’s in Computer Science at Western Washington University, where his research focus has been on Computer Science Education.Qiang Hao, Western Washington University Associate professor of computer scienceDr. Lu Ding, University of South Alabama Dr. Lu

Conference Session

Computers in Education Division (COED) Track 6.C

Collection

2025 ASEE Annual Conference & Exposition

Authors

Aimee Allard, North Carolina State University at Raleigh

Tagged Divisions

Computers in Education Division (COED)

Paper ID #48079A Survey of Task Planning: Pre- and Post-Assessment of a Project ManagementActivity in the Computer Science Senior CapstoneAimee Allard, North Carolina State University at Raleigh Dr. Aimee Allard is a member of the Senior Design Center faculty in the Department of Computer Science at NC State. As the Communications Coordinator and an instructor in Senior Design, she works with students on writing- and communications-based milestones: task planning, documentation, reports, design strategies, presentations, and more. She is passionate about Senior Design because not only do students gain real-world experience

Conference Session

COED: Student Perspectives of Instructional and Advising Approaches

Collection

2023 ASEE Annual Conference & Exposition

Authors

Mahbub K. Ahmed, P.E., Southern Arkansas University; Kendra J. Ahmed, Southern Arkansas University

Tagged Divisions

Computers in Education Division (COED)

tool, a set ofsurvey questions were given to those students whose schedules have been made using theadvising tool. The collected survey data has been analyzed statistically to determine the tool'sefficacy from students’ perspectives. The analyzed data indicate that the students were overallsatisfied and had positive attitudes towards different aspects of the tool.MotivationIn any major, preparing an effective and error-free course plan for undergraduate students eachsemester is crucial for their timely graduation. However, various constraints may arisethroughout the student’s four-year program, which can cause uncertainties in their graduationtiming. Students also often want a clear picture of their projected graduation date, including

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)

, Effort/Importance, Pressure/Tension, PerceivedChoice, and Value/Usefulness. It is designed based on self-determination theory [1]. Stu-dents respond on a 5 point Likert scale of “Strongly agree” to “Strongly Disagree” to thefollowing 2 questions from each subscale. “I think this class is going to be boring” and “Ithink this class is going to be enjoyable”, “I think that I am going to be pretty good at thisclass” and “This is a class that I cannot do very well in”, “I plan to put a lot of effort intothis class” and “It is important to me to do well in this class”, “I am anxious about thisclass” and “I feel very relaxed about this class”, “I feel like it is not my own choice to do thisclass” and “I feel like I am taking this class because I have

Conference Session

Computers in Education Division (COED) Poster Session (Track 1.A)

Collection

2025 ASEE Annual Conference & Exposition

Authors

Nadya Shalamova, Milwaukee School of Engineering; Olga Imas, Milwaukee School of Engineering; James Lembke; Maria Pares-Toral, Milwaukee School of Engineering; Derek David Riley, Milwaukee School of Engineering; Daniel Bergen, Milwaukee School of Engineering

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

, biomedical engineering, business and more. It also involves integrating AI tools intothe curriculum and pedagogy, enhancing personalized student learning through AI, andpromoting AI innovation through research, industry and community engagements. Furthermore,it entails continuously evaluating the impact of applied AI on institutional outcomes and refiningthe path for applied AI integration.The rAIder Strategy offers a phased AI adoption plan that balances short-term goals with long-term objectives, focusing on curriculum and pedagogy, academic productivity, interdisciplinarylearning, and ethical governance. This paper outlines the strategy and early progress at MSOE,which aims to build AI literacy across all disciplines. Early results suggest this

Conference Session

Computers in Education Division (COED) Track 2.B

Collection

2025 ASEE Annual Conference & Exposition

Authors

Sean P Brophy, Purdue University at West Lafayette (COE); Fadhla Binti Junus, Purdue Engineering Education

Tagged Divisions

Computers in Education Division (COED)

. Even with the support of an instructional team, this process can be time-consuming and increase workload. We employed Charlie, a neural network-enabled grader, toprovide feedback on students’ writing assignments. Students only need to submit one draft,the minimum requirement for the assignment, although multiple submissions are allowed toreceive feedback from Charlie. The results indicate that Charlie’s feedback is generallyeffective, but improvements are needed in accuracy and recognizing revisions. The findingsalso reveal that students integrated feedback well, particularly in refining their career goalsand action plan sections. This study suggests that the design of learning activities could berefined to encourage students to be more

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)

students joining every semester and contributing to the community. Additionally, theyfound that students continue to communicate with past classmates, students in different years,and that it allows off-campus or distance students to still make friends and form study groups [6].Finally, they found that this Discord server helped students make industry connections to helpthem with their future job hunts [8]. Overall, this server has made a lasting impact on thestudents that contribute to its community. Unfortunately, not many of these case studies have been identified and examined withinthe literature. With our proposed study, we plan to add to the growing body of literaturesurrounding discipline-focused, educational communities by examining

Conference Session

Computers in Education Division (COED) Poster Session (Track 1.A)

Collection

2025 ASEE Annual Conference & Exposition

Authors

Thomas Rossi, University of New Haven; Ekaterina Vasilyeva, University of New Haven; Ren Oberdorfer, University of New Haven; Jhansi Sreya Jagarapu, University of New Haven

Tagged Divisions

Computers in Education Division (COED)

students and faculty started a project: ChargerCare.The students variety of specialties allowed them to create an app that could help fellow students,as well as faculty, on campus.The process of creating the app was a lengthy one, as it required involvement from severaldifferent departments on campus. The collaboration was necessary to ensure the quality of theapp, and therefore its effectiveness in addressing the concerns for members of the Universitycommunity. Most of the development time was spent like this, in careful planning to ensure thesuccess of the app from the start. Upon the conclusion of the planning and development process,the app would be released to the University community via the Apple App Store and the GooglePlay Store.3

Conference Session

The Best of Computers in Education Division (COED)

Collection

2024 ASEE Annual Conference & Exposition

Authors

Gerald Tembrevilla, Mount Saint Vincent University; Mohosina Jabin Toma, University of British Columbia, Vancouver; Marina Milner-Bolotin, University of British Columbia, Vancouver

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

[3-5] with research conducted in Scotland and Australia serving as our primaryreferences, and examples from Canada. For instance, the General Teaching Council for Scotland[6] underlines the importance of reflection by providing opportunities for future teachers toreflect on and act to improve their own professional practice. In addition, the Australian Instituteof Teacher and School Leadership [7] requires all ITE programs to implement a teachingperformance assessment that includes a reflection of classroom teaching practice including theelements of planning, teaching, assessing, and reflecting. In Canada, the Association of CanadianDeans of Education’s General Accord [8] strongly emphasizes the importance of reflection inITE programs

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2023 ASEE Annual Conference & Exposition

Authors

Valerie A. Carr, San Jose State University; Jennifer Avena, San Jose State University; David Schuster, San Jose State University; Wendy Lee, San Jose State University; Belle Wei, San Jose State University

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

learningcommunity (FLC) with a local two-year institution to foster a collaborative community andsupport faculty in adopting APEX materials, which included helping them to consider, plan,apply, and reflect on effective practices for integrating computing into their courses. Buildingupon these pilot efforts, we are actively expanding adoption of the APEX program in severalways. First, we have begun holding summer and winter training workshops for faculty at severaladditional community colleges. Second, we are refining and improving the FLC experience aswe initiate new FLCs with these institutional partners. Finally, we will continue to assess theprogram’s efficacy through a research plan that evaluates student and faculty experiences,allowing us to optimize

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)

the number/percent of students who have taken the adapted CS course for eachparticipating school, as well as challenges and how project personnel adapted the project to address thesechallenges. The RPP approach and our results can benefit anyone working to increase access to high-qualityCS education at the K-12 levels.Background: Senate Bill 267 charged the WV Department of Education with creating a plan to make CSavailable to all K-12 students. Bill 267 makes WV one of the first states to require all students be exposedto a variety of CS experiences throughout their K-12 career. In addition, in 2017, the state Board ofEducation mandated College and Career Readiness Standards for Student Success for grades K-12 toprepare students for seamless

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)

Datastorm challenges. We also plan to host annual full-day Datastormevents, which should provide visibility and outreach opportunities to other undergraduate studentsat our institution as well as highlight the relevance of the Computer Science program to thegeneral public.IntroductionComputer Science and computing based majors in general suffer from a variety of issues at theuniversity level.One of those issues is high drop out rates. The level of attrition in Computer Science is reportedto be between 9.8% [1] and 28% [2]. This represents both a direct loss in terms of students notcompleting the major as well as an indirect loss in terms of students not encouraged to pursue itbecause of a perceived difficulty given its high withdrawal rates.Figure

Conference Session

COED: Cybersecurity Education

Collection

2023 ASEE Annual Conference & Exposition

Authors

Mahmoud K. Quweider, The University of Texas, Rio Grande Valley; Liyu Zhang, The University of Texas, Rio Grande Valley; Hansheng Lei

Tagged Divisions

Computers in Education Division (COED)

becomes very important. In the paper, we will present:• The list of certifications that were carefully selected and the fields they cover: o Promoting vendor neutral certifications o Allowing customized certifications for experienced students.• The complete degree plan with the embedded certification: o When to take the certification o What SLOs should be covered in courses leading to the certification• The course developments for these certifications and how they are delivered: o Department-wide course template and resources• Resources available to the students: o Internal and external o A live and ever-expanding compiled set of resources• Practical and mock exams• Compilation of ads

Conference Session

COED: Computing in K-12 / Early Childhood Education

Collection

2023 ASEE Annual Conference & Exposition

Authors

Safia A. Malallah, Kansas State University; Lior Shamir, Kansas State University; William Henry Hsu, Kansas State University; Joshua Levi Weese, Kansas State University; Salah Alfailakawi, Kansas State University

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

slow its inclusion into this field of study. This paper proposes the Dataying framework to teach data science concepts to young children ages 4–7 years old. The framework development included identifying K–12 data science elements and then validating element suitability for young students. Six cycled steps were identified: identifying a problem, questioning, imagining and planning, collecting, analyzing, and story sharing. This paper also presents examples of data decision problems and demonstrates use of a proposed Insight- Detective method with a plan worksheet for Dataying.IntroductionThe expected growth of data science careers worldwide over the next ten years means thatstudents of all ages

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)

fromStanford University to Hampton University students. The course description is as the following:AA 274A: Principles of Robot Autonomy I (AA 174A, CS 237A, EE 160A, EE 260A)Basic principles for endowing mobile autonomous robots with perception, planning, and decision-making capabilities. Algorithmic approaches for robot perception, localization, and simultaneouslocalization and mapping; control of non-linear systems, learning-based control, and robot motionplanning; introduction to methodologies for reasoning under uncertainty, e.g., (partiallyobservable) Markov decision processes. Extensive use of the Robot Operating System (ROS) fordemonstrations and hands-on activities.Prerequisites: CS 106A or equivalent, CME 100 or equivalent (for linear

Conference Session

Computers in Education Division (COED) Poster Session (Track 1.A)

Collection

2025 ASEE Annual Conference & Exposition

Authors

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

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

-solving approaches, observed commonpitfalls in AI usage in basic programming tasks, and identified patterns that can inform ourpedagogy.2 MethodsA. Classroom Information and Experimental OverviewAn introductory engineering course consisting of 21 students completed a series of assignmentsthat involved the use of ChatGPT and Claude in an effort to gain insight into studentmetacognition and problem-solving patterns. Specifically, we examined metacognitive aspectsincluding planning behaviors (time spent reviewing problems before coding), self-monitoring(recognition and correction of errors), and resource utilization strategies (documentation usagepatterns and LLM interaction methods).This study used a two-part experimental design to examine

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)

formatted as GoogleColaboratory notebooks that are publicly available on GitHub (Python training for instructors;Biology modules; Statistics modules). APEX biology modules include case studies on sickle cellanemia and breast cancer and three shorter data analysis modules. Eighteen APEX statisticsmodules span topics ranging from data and measurement to sampling and hypothesis testing. Aswe refine and expand our materials, we are also assessing the program’s efficacy by surveyingboth instructors and students. The aim of this work-in-progress paper is to conduct a preliminaryexamination of whether and how student perceptions of interdisciplinary computing change as aresult of engaging with APEX biology and statistics modules.MethodsFaculty who planned

Conference Session

Computers in Education Division (COED) Poster Session (Track 1.A)

Collection

2025 ASEE Annual Conference & Exposition

Authors

Colin Jacob Soule, Bucknell University; Lea Wittie, Bucknell University; Sing Chun Lee, Bucknell University

Tagged Divisions

Computers in Education Division (COED)

practice and time-consuming for educators to grade. This project explores the potential ofvirtual reality (VR) to provide a more engaging and interactive learning experience for syntax treeeducation while also supporting auto-gradable exercises for scalable practice.We have developed a web-based VR tool that enables students to construct syntax trees throughdrag-and-drop interactions in an immersive environment. To evaluate its effectiveness, we plan toconduct a comparative study with three groups of undergraduate computer science students: onereceiving more traditional instruction using a text-based tree generator, one using a browser-baseddrag-and-drop tool, and one utilizing the VR tool. The evaluation will include both qualitative

Conference Session

Computers in Education Division (COED) Poster Session (Track 1.A)

Collection

2025 ASEE Annual Conference & Exposition

Authors

Juan Alvarez, University of Illinois at Urbana - Champaign; Max Fowler, University of Illinois at Urbana - Champaign; Cheryl Ann Cohen; Jennifer Martinez; Jennifer R Amos, University of Illinois at Urbana - Champaign; Yael Gertner, University of Illinois at Urbana - Champaign

Tagged Divisions

Computers in Education Division (COED)

the importance and effort that they attribute to this class. Students respond ona 5 point Likert scale of “Strongly agree” to “Strongly Disagree” to the following questionsand the measure corresponds to the average of the answers. “I plan to put a lot of effortinto this class”, “It is important to me to do well in this class”, “I believe this class couldbe of some value to me”, “I believe doing this class is important”.Belonging was measured in Survey 1. Students respond on a 5 point Likert scale of“Strongly agree” to “Strongly Disagree” to the set of the following 4 questions: “my teacherssee me as a computer scientist”, “my friends/classmates see me as a computer scientist”,“my family sees me as a computer scientist”, “I see myself as a

Conference Session

Computers in Education Division (COED) Poster Session (Track 1.A)

Collection

2025 ASEE Annual Conference & Exposition

Authors

Gerald Tembrevilla, Mount Saint Vincent University; Mohosina Jabin Toma, University of British Columbia, Vancouver

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

, how can theintegration of educational technology enhance PSTs' engagement with their local communitiesand broader climate challenges?In the 12-week course, I introduced the 100-mile diet during the first two sessions to preparePSTs for their project planning. PSTs individually or in groups designed and implemented theirown versions of the diet, analyzing its impact on carbon footprints and ecosystems. Theydocumented their work over two to four weeks using technology tools like digital diaries, socialmedia vlogs, Google Suite, Excel, and multimedia presentations. Over three academic terms(2022-2024), I collected 55 adaptations, eventually narrowing them to 26 unique examples basedon originality, depth of analysis, and alignment with assignment

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 Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

2016, he has been a Visiting Professor with the Mechanical and Aerospace Engineering Department, University of Missouri. Currently, he is As- sociate Professor with the Engineering Department, Colorado State University-Pueblo. He is the author of two book chapters, more than 73 articles. His research interests include artificial intelligence systems and applications, smart material applications, robotics motion, and planning. Also, He is a member of ASME, ASEE, and ASME-ABET PEV. ©American Society for Engineering Education, 2023 Engaging High School Teachers in Artificial Intelligence Concepts and ApplicationsIntroduction and Justification Artificial

Conference Session

Spotlight on Diverse Learners

Collection

2024 ASEE Annual Conference & Exposition

Authors

Lily Rui Liang, University of the District of Columbia; Rui Kang; Carlos Sac Mendoza, University of the District of Columbia

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

materials[5]: 1) a lesson plan for using the Worldin K-12 classrooms or higher education outreach activities, 2) instructions and video clips onhow to download, host, and play the game and how to use the example source code, and 3)source code for creating architecture examples in the World.EvaluationTo investigate the effectiveness of the World on increasing K-12 students' interests incomputing, we first invited three high school students to play a prototype of the Lafayette ParkWorld game and asked for their feedback. After refining it according to their suggestions, weoffered a programming workshop to K-12 students, using the World, and collected survey andinterview data. The workshop was one and a half hours long and was implemented following

Conference Session

Computers in Education Division (COED) Track 5.B

Collection

2025 ASEE Annual Conference & Exposition

Authors

Jina Wilde, The University of Texas at San Antonio; Michael Zawatski, The University of Texas at San Antonio; Darean Wilde, The University of Texas at San Antonio; Emiliano Beltran, The University of Texas at San Antonio; Amanda S. Fernandez, The University of Texas at San Antonio; Timothy Yuen, The University of Texas at San Antonio

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

Applications 11. Making and Microcontrollers (projects)* 12. Mobile Application Development (projects)* 13. Game Development with Unity and C# (projects)* 14. CS Teacher Certification Test PreparationSummer Institute with Youth Code Jam. CS4SA began with a three-week Summer Institute,where teachers were introduced to foundational CS topics, lessons, and culturally responsivepedagogy, alongside learning fundamental Java programming concepts using BlueJ, abeginner-friendly development environment [21]. Teachers engaged with the modules, completedprogramming exercises, discussed broadening participation in CS, and planned classroomactivities. As shown in Figure 3, one of the early exercises in the Data Structures (with BlueJ)module involved

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Syed Hasib Akhter Faruqui, Sam Houston State University; Nazia Tasnim, University of Texas at Austin; Iftekhar Ibne Basith, Sam Houston State University; Suleiman M Obeidat, Texas A&M University; Faruk Yildiz, Sam Houston State University

Tagged Divisions

Computers in Education Division (COED)

resources,and technology needs. However, with all the diverse learning sources, it becomes harder for stu-dents to comprehend a large amount of knowledge in a short period of time. Traditional assistivetechnologies and learning aids often lack the dynamic adaptability required for individualized ed-ucation plans. Large Language Models (LLM) have been used in language translation, text sum-marization, and content generation applications. With rapid growth in AI over the past years, AI-powered chatbots and virtual assistants have been developed. This research aims to bridge this gapby introducing an innovative study buddy we will be calling the ‘SAMCares’. The system leveragesa Large Language Model (LLM) (in our case, LLaMa-2 70B as the base model

Conference Session

Computer-Supported Pedagogy and Assessment

Collection

2024 ASEE Annual Conference & Exposition

Authors

Jim Sosnowski, University of Illinois Urbana-Champaign; Julie M Baker, University of Illinois Urbana-Champaign; Olivia Arnold, University of Illinois Urbana-Champaign; Mariana Silva, University of Illinois Urbana-Champaign; David Mussulman, University of Illinois Urbana-Champaign; Craig Zilles, University of Illinois Urbana-Champaign; Matthew West, University of Illinois Urbana-Champaign

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

coordinator grew to be larger than one person could manageresulting in the position being split. The coordinator was promoted to assistant director, and anoffice support specialist was promoted to coordinator. Under this new administrative hierarchy,the assistant director was charged with focusing on long-term planning, supporting faculty, andcoordinating with units across campus, while the oversight of daily operations became theresponsibility of the coordinator. The CBTF assistant director takes input from an advisorycommittee of faculty and students and also consults with a student committee for feedback.Expanding Testing Capacity The CBTF is one of the most heavily utilized spaces on campusand we regularly receive inquiries from courses

Conference Session

Robotics and Circuits

Collection

2024 ASEE Annual Conference & Exposition

Authors

Kathryn Lara Wujciak, Tufts University; Briana M Bouchard, Tufts University; Chris Buergin Rogers, Tufts University

Tagged Divisions

Computers in Education Division (COED)

phases: planning, monitoring, control, and reaction andreflection [3], [8]. The planning phase involves planning for the problem such as guidingquestions, making a concept map, or planning ahead as seen in [1, Tab. 1], [3]. The monitoringphase could have diagrams, prompts for self-explanation or reasoning, or cognitive feedbackdone by the student [3], [12]. In the control phase, there could be worked out examples,processing and reflective prompts, or guiding questions [3], [10]. Lastly, in the reflection phase,students reflect on the learning they’ve done [3], [13]. As previously mentioned, effectivescaffolds can be both domain-general and domain-specific in each phase. In the context ofcomputer-based learning environments, or CBLEs, prompts

Conference Session

COED: Spotlight on Diverse Learners

Collection

2023 ASEE Annual Conference & Exposition

Authors

Daniel A. Tillman, University of Texas, El Paso; Wei Yan, Texas A&M University; Song An, University of Texas, El Paso; Jeffrey Liew, Texas A&M University; Kien H. Lim; Lisa Garbrecht, University of Texas, Austin; Philip B. Yasskin

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

students withmathematical concepts necessary to learning spatial transformations and allied mathematicalrepresentations. The project will also provide the foundation for planned further research addinga language-processing component to an AI for high school students, which would be trained on alarge dataset of common high school math topics and language used by students. To ensurerigorous evaluation of the project, the research team will anticipate confounding factors so as tominimize their effects, and two learning conditions (AI-powered and non-AI) will be employedand compared with the same essential visualization and functional manipulation, thus advancinginstruction that applies across multiple STEM disciplines. The project will create a

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)

beyond robotics including Human-Machine Teaming and Cybersecurity.IntroductionDeveloping a diverse Artificial Intelligence workforce is a critical national need 1. This isrecognized by government funding agencies 2, and there is a focus on increasing participation ofunder-represented groups3 and addressing the gender gap4. A particular interdisciplinary spaceinvolving multiple engineering disciplines, mathematics, and computer science is Swarm AI-machine learning techniques to control groups of robots (called swarms) to accomplish a task.This involves skills such as mechatronics, mechanical engineering, sensors and signalprocessing, wireless communications, computer networking, machine learning, control theory,path planning and optimization, and

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

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

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

think this class is goingto be boring”, ”I think this class is going to be enjoyable”, ”I think that I am going to bepretty good at this class”, ”This is a class that I cannot do very well in”.Value was measured in Survey 1. It is a measure based on participants’ intrinsic motivationdesigned based on self-determination theory [1]. It focuses on the aspect of motivation thatcomes from the importance and effort that they attribute to this class. Students respond ona 5 point Likert scale of “Strongly agree” to “Strongly Disagree” to the following questionsand the measure corresponds to the average of the answers. ”I plan to put a lot of effortinto this class”, ”It is important to me to do well in this class”, ”I believe this class couldbe of some

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)

foster ML self-efficacy within these three audiences,as shown in Table 1. Table 1. Lao’s Learning Outcomes Adapted from [8]Knowledge Skills AttitudesGeneral ML Knowledge ML Problem Scoping InterestKnowledge of ML Methods ML Project Planning Identity and CommunityBias in ML Systems Creating ML Artifacts Self-EfficacySocietal Implications of ML Analysis of ML Design Intentions and Results Persistence ML Advocacy Independent Out-of-Class LearningWhile limited