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

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Diversity

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Computers in Education Division (COED)

motivation.We have identified the following research questions regarding students in a Discrete Mathclass in an introductory CS sequence:RQ1: Do students’ expectations to do well, value of the course, and time spent studyingcontribute to their course outcome?RQ2: Can students who do not expect to do well in the course when they first enter it, cannevertheless engage in study behaviours that lead to positive course outcomes?2 MethodsWe surveyed students in a Discrete Math course at the University of Illinois Urbana-Champaignthree times during Spring 2022. Survey 1 was used to get information about students’ mo-tivation and belonging as they enter the course in the first week of the semester. Surveys 2and 3 were given in the middle and at the end of

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Yixin Zhang, University of Toronto; Hanzhang Xing; Yaqi Zhang, University of Toronto; Xinyan Du, University of Toronto; Hamid S Timorabadi P.Eng., University of Toronto

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Computers in Education Division (COED)

users, in two groups of students—with and without priorknowledge of computer networks. The feedback received from both groups verify theeffectiveness of our design that 87.5% of inexperienced learners found intuitive and simple touse; and 70% of experienced users noted that this design helped them review and deepentheir understanding.1 Literature ReviewMultimedia resources are widely used in modern education and provide innovative andeffective learning experiences. Studies on the cognitive advantages of multimedia ineducation, such as Mayer's cognitive theory of multimedia learning, emphasize its potentialto enhance learning through dual coding and multisensory engagement [1]. Among variousmultimedia methods, 3D interactive animation is

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Carsten Monrad Thue-Bludworth, University of Florida; Jeremiah J Blanchard, University of Florida

Tagged Divisions

Computers in Education Division (COED)

systems as well as WebAssembly, withsmooth operation even on low-power devices such as single-board computers. Additionally, thetool is designed to continue to grow via community-driven support – the project is open-sourceand hosted on GitHub, open to public contributions, and will grow as community members addsupport for additional hardware platforms. Features and documentation that will allow for furthercommunity engagement are underway, and the long-term goal of the project is to become apopular and useful tool among open-source development environments, especially in aneducational setting.IntroductionModern open-source hardware ecosystems such as Adafruit’s Feather boards [1], Sparkfun’sMicroMod boards [2], and Raspberry Pi’s single-board

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)

where knowledge might be transferred between participants. Next, we ask RQ3 ,which aims to classify the types of knowledge being transferred and if the knowledge is relevantto what happens during the stream, unrelated off-topic knowledge, or general programmingknowledge. Finally, using previous data, we ask RQ4 to understand if knowledge transfer helps orharms development activities during a live stream.Background and Related WorkInformal Learning OpportunitiesInformal learning opportunities play a crucial part in knowledge sharing and acquisition inundefined and opportunistic ways and are not motivated or bound by specific curriculum [1, 2].Research suggests that informal learning can be effective when individuals can contextualize andsituate

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

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Diversity

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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

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Daniel Limbrick, North Carolina A&T State University; Laura Marcela Garcia Suarez; Deriech Cummings II, North Carolina A&T State University

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Diversity

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Computers in Education Division (COED)

senior year, they havemastered the art of designing a logic primitive, e.g., a CMOS inverter or a simple circuit, e.g., afull adder. With this knowledge, they have the foundation to pursue graduate studies in VLSI de-sign, which, depending on the university, includes a course that introduces them to logic synthesisand physical design. This approach to teaching VLSI has a lot of shortcomings: (1) students withthe desire to design a microprocessor from scratch have to delay gratification for several years, (2)students must appreciate and have a strong aptitude for each step of the VLSI design process insequential order, (3) most universities do not offer the full sequence of courses needed, and (4)exposure to skills needed is usually not available

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)

fall 2023 section ofCSC 101 piloted a pre- and post-survey to measure their SoB and ASC. Additionally, studentswere interviewed about their experiences on the CoLT course. This survey will be implemented inthree sections of the CSC 101 course in spring 2024. This paper presents the overall researchdesign and preliminary survey responses from fall 2023. Preliminary results demonstrate a positiveimpact on SoB and ASC for students. These results provide encouraging motivation to furtherinvestigate how CoLTs may impact student retention and academic performance in computingmajors.1. Introduction and BackgroundComputer Science and Computer Programming and Information Systems are complex subjectsthat require critical thinking and problem solving for

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Arnav Ketineni, Portland State University; Hrithik Ketineni; Kyle Liu, Portland State University; Marek Perkowski, Portland State University

Tagged Divisions

Computers in Education Division (COED)

game design elements into instruction can have in enhancing students’ under- standing of topics such as SOP minimization and Karnaugh maps. These re- sults highlight the importance of future research investigating the educational benefits of applying game-based learning to other introductory logic design topics. IntroductionWithin the field of education research, there has been a significant amount of research comparinginteractive learning methods to more traditional methods [1]. Interactive learning methods typi-cally involve the application of digital media, such as apps and games, to encourage independent,autonomous learning. Traditional learning methods, on the other hand, involve methods that

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

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Diversity

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Computers in Education Division (COED)

Engineering Education. He is also selected as an NSF SIARM fellow for the advanced research methods for STEM education research. Dr. Menekse received four Seed-for-Success Awards (in 2017, 2018, 2019, and 2021) from Purdue University’s Excellence in Research Awards programs in recognition of obtaining four external grants of $1 million or more during each year. His research has been generously funded by grants from the Institute of Education Sciences (IES), the U.S. Department of Defense (DoD), Purdue Research Foundation (PRF), and the National Science Foundation (NSF).Ali Alhaddad, Purdue University, West Lafayette ©American Society for Engineering Education, 2024 Work in progress: A

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

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Diversity

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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

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

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)

adopting best practices while avoiding pitfalls.Keywords: Cloud Computing, Cyber Security, Pair Teaching, Cloud+, Integrative Lab, Project-based Learning.Introduction and MotivationWe have recently created a new bachelor’s degree in cyber security (BSCS) that is part of a newlycreated Informatics and Engineering Systems department. Details of the degree are presented in[1] and [2], where we cover the overall objective and learning outcomes, course details, and thedegree plan. One new course we offer is Cloud Computing and Security, under the course numberCYBI-3346 Cloud Security. The course is considered a junior-level course. The full coursedescription with prerequisites is given in Table 1, while the overall architecture of the course isgiven in

Conference Session

Programming Education 2

Collection

2024 ASEE Annual Conference & Exposition

Authors

Kwansun Cho, University of Florida; Syeda Fizza Ali, Texas A&M University; Sung Je Bang, Texas A&M University; Saira Anwar, Texas A&M University

Tagged Divisions

Computers in Education Division (COED)

mechanisms that provide hands-on experienceshave been proposed. One commonly used mechanism has been dynamic live coding.Although live coding by instructors is an invaluable source of learning, it has certaindisadvantages, such as passive attention and limited hands-on experience. Keeping theessence of live coding, we examine the impact of a newly introduced “Sequential LiveCoding” strategy on students’ performance. “Sequential Live Coding” differs from traditionallive coding in four main aspects: 1) multiple students are selected for each program codingsession, 2) live coding is done by the students, where they take turns to complete theprogram, 3) the students explain their work to the class, and 4) instructor uses the backwardlecture style (the

Conference Session

Computer Engineering Topics

Collection

2024 ASEE Annual Conference & Exposition

Authors

Ronald J. Hayne, The Citadel

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Diversity

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Computers in Education Division (COED)

Instructional Processor,which was developed as a design example in an Advanced Digital Systems course [1], [2], hasbeen expanded to facilitate teaching of a Computer Architecture course. The system is modelledin VHDL and can be simulated using Xilinx design tools to demonstrate operation of theprocessor. A basic microcontroller is then created by adding memory-mapped I/O. The systemcan be synthesized and implemented in hardware on an FPGA. The processor can then beinterfaced with multiple peripheral devices to demonstrate a variety of applications.Several Computer Architecture courses exist which use hardware description language modelsand simulation, combined with FPGA implementation. Many of them are based on the open-source RISC-V system-on-chip

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

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Diversity

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Computers in Education Division (COED)

facilitate formal education on the premise that they would improvestudent learning outcomes. Dawson, et al. [1] indicate that adopting technological innovationsin higher education significantly impacts the quality of learning delivery, studentengagement, and academic accomplishments. To meet the complex and dynamic demands ofthe 21st century, stakeholders of engineering education have also been exploring and adoptinginstructional technologies to improve the teaching and learning experience in engineeringeducation. To develop technical competencies in engineering students, integrating diverseeducational technologies such as educational games, mobile learning tools, and virtual realitytechnology is important [2], evidenced by the extensive breadth of

Conference Session

Simulations and Virtual Learning

Collection

2024 ASEE Annual Conference & Exposition

Authors

David J Gagnon, Field Day Lab @ UW-Madison; John M. Pfotenhauer, University of Wisconsin, Madison; Arganthael Berson, University of Wisconsin, Madison; Luke Swanson, University of Wisconsin, Madison

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Computers in Education Division (COED)

introductory thermodynamicsImportanceAs an undergraduate course, introductory undergraduate thermodynamics is a foundational andubiquitous course in engineering and science [1], including mechanical, chemical, and materialsengineering, physics, and chemistry. In many departments, it functions as a “weed out” course,measuring a student’s interest and proficiency in the field at an early stage in their program [2].Jacobs & Freud [3] affectionately refer to introductory thermodynamics as an engineeringstudent’s “rite of passage.”Unfortunately, thermodynamics is a complex topic that is difficult for many students tounderstand and visualize [4], all too often leading to frustration and failure. These difficulties areevident to thermodynamics

Conference Session

Teaching with ML and Generative AI

Collection

2024 ASEE Annual Conference & Exposition

Authors

Hyunju Oh, University of Florida; Rui Guo, University of Florida; Wanli Xing, University of Florida; Zifeng Liu, University of Florida; Yukyeong Song, University of Florida; Chenglu Li, The University of Utah

Tagged Divisions

Computers in Education Division (COED)

(ML) is the backbone of Artificial Intelligence (AI), infusing it with theremarkable ability to identify patterns autonomously and predict future outcomes. Nonetheless, ashighlighted by the US Department of Defense’s National Defense Strategy 2022 [1] and theNational Security Commission on AI 2021 [2], a significant deficit in the AI and ML workforcehas emerged as a pressing concern that threatens to hinder the realization of AI's potential. GivenML's growing influence across various sectors, it is increasingly vital for high school curricula toincorporate ML concepts, equipping students with the skills and knowledge essential fornavigating and contributing to this rapidly evolving field [3].However, integrating ML into K-12 education

Conference Session

Teaching with ML and Generative AI

Collection

2024 ASEE Annual Conference & Exposition

Authors

Bobby F Hodgkinson, University of Colorado Boulder; Nathan Eric Whittenburg, University of Colorado Boulder

Tagged Divisions

Computers in Education Division (COED)

usefulpedagogical tool. To enhance the peer review process, this study implements sentiment analysis,specifically using a roBERTa sentiment analysis model [1], to provide a quantitative assessmentof reviews received by individual students. Additionally, the work quickly evolved to includeAI-based constructive criticism paraphrasing to allow for timely individualized feedback in alarge-enrollment setting. This work also explored the capabilities of an AI-based suite to aidreport graders in order to improve the efficiency of the grading and feedback process for largescale laboratory classes. The motivation for this work is to investigate the utility of ArtificialIntelligence as a way to increase the efficiency of the instructional team in large enrollment

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)

repository to answer those questions. The chatbot's impact on the student's universityexperience is measured in a class by conducting class surveys among the students. The authorshave planned a pilot study of the chatbot and its implementation for a course in Spring 2023.Results will be reported in the final paper.Introduction:Chatbots have revolutionized various industries, such as airlines, medical, and insurance. It canhandle many customers and respond to their varying inquiries. This progress in chatbot technologyis partly due to the recent advancements in natural language processing. There are limitedempirical studies examining the effectiveness of various learning designs or strategies whenincorporating chatbots in education [1]. Ongoing

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

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Computers in Education Division (COED)

technological age, the need to study and understand computation and the scholarship andteaching employed to prepare the next generation of engineers has become a priority for currenteducation researchers. The National Academies of Sciences, Engineering, and Medicine,reported in a 2018 report by stating, “It is a time for institutions to consider their missions andconstituencies they serve and to determine what role computing should play in the experience,knowledge, and skills of its graduates 2025 and beyond,” [1]. Computing has been identified as anecessary skillset for engineers entering the workforce to employ computational solutions tocomplex global issues. Computing educational researchers have embarked on the journey touncover the evidence-based

Conference Session

Computer Engineering Topics

Collection

2024 ASEE Annual Conference & Exposition

Authors

Peter Jamieson, Miami University; Nathaniel David Martin, Miami University

Tagged Topics

Diversity

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Computers in Education Division (COED)

dividers at each bit-width is tested for functionality and is measuredbased on speed (a combination of critical path and number of clock cycles to complete) and area(number of logic elements (LEs) needed for the divider). Our results provide a general trend forthe area and speed for these division algorithms as the width of the division grows for FPGAs,and our tool is open source so that others can implement these dividers with detailed examples oftheir stepwise operation so that educationally we can develop an understanding of divisionalgorithms.1. IntroductionThe arithmetic operation of division for computing is the most difficult to implement in hardware(HW) of the four basic arithmetic operations: addition, subtraction, multiplication, and

Conference Session

Computer-Supported Pedagogy and Assessment

Collection

2024 ASEE Annual Conference & Exposition

Authors

Tammy VanDeGrift, University of Portland

Tagged Divisions

Computers in Education Division (COED)

in engineering andcomputer science courses. Written solutions document students’ thought processes, but theremay be other thinking and reasoning that the instructor cannot observe from a solution alone.The pedagogical technique reported in this paper is the use of video reflections of solutions toexam problems. Students created one short video explanation of their solution to a randomlyassigned exam problem for each exam. The educational objectives for the video included: 1)encourage reflection and meta-cognition about the creation and testing of a solution, 2) practiceoral communication of technical process.From 2021 to 2023, students in three different computer science courses took exams and createdvideo recordings of their solutions. The

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)

field. The primarygoal of this study is to conduct a systematic review of the current literature concerning the role,impact, and constraints of AI in CS education, with a specific focus on K-12 education. Thereview process follows the PRISMA principle. A total of 24 articles published between 2013 and2023 were selected, comprehensively reviewed, and analyzed. The coding scheme mainlyincludes four aspects: (1) Research background, (2) Research design, (3) AI technologies, and (4)Research outcomes and limitations. Each aspect contains specific dimensions to be coded. Thestudy discovered that AI plays a significant role in K-12 CS as learning content and developingprogramming platforms. These adaptive learning platforms give personalized

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

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Diversity

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Computers in Education Division (COED)

grow [1],because as class sizes increase, administering assessments becomes increasingly resourceintensive [2] requiring faculty and course staff to commit increased amounts and energy towardsmanaging the logistics of exam administration [3]. The additional resources required foradministering assessments in courses with larger enrollments often lead to a decrease in thenumber and type of assessments used in a course [4, 5], with faculty often relying on assessmentpractices that are not educationally beneficial to students [6].Managing assessment for large-enrollment courses is a challenge that many engineering programsface. In response to these challenges, in Fall 2014, the Grainger College of Engineering at theUniversity of Illinois at Urbana

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)

improved JupyterLab is underdevelopment to efficiently teach ROS 2 to undergraduates with little to no prior experience. Thispaper provides an overview of the theoretical underpinnings of our work and outlines our initialimplementation for adaptation by others. II. Literature Review A. IndividualScaffolding refers to a structured framework that supports and guides learners while gaining newskills or knowledge, and fades as students become more proficient [1]. Scaffolding is aneducational strategy that instructors have used to bridge the gap between the student’s currentunderstanding and the more complex learning goal [2]. Domain-general scaffolding is supportthat stretches across all learning environments [1], [3]. This could include

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)

questions: 1. Have you used AI-powered tools like ChatGPT for learning in your engineering studies? 2. How frequently do you use AI tools for academic purposes? 3. What advantages do you think AI tools offer in engineering education? 4. How has using AI tools influenced your understanding of engineering concepts and problem-solving skills? 5. Do you believe AI impacted your ability to grasp complex engineering topics? 6. Have you experienced personalized learning through AI tools? Please explain. 7. What challenges have you encountered while using AI tools for engineering education? 8. Do AI tools encourage active participation and critical thinking in your engineering studies? 9. What

Conference Session

Spotlight on Diverse Learners

Collection

2024 ASEE Annual Conference & Exposition

Authors

Minkyung Lee, Pennsylvania State University; Stephanie Cutler, Pennsylvania State University; Sarah E Zappe, Pennsylvania State University; Sam Spiegel, Colorado School of Mines; Ibukun Samuel Osunbunmi, Pennsylvania State University

Tagged Divisions

Computers in Education Division (COED)

considers how students' learning mode rankings acrossdifferent modules influence not just their post-module knowledge scores but also the broadermetrics of content comprehension and delivery effectiveness.Active learning and instructional modes in engineering educationActive learning is a student-centered educational paradigm that has transformed engineeringeducation by fostering engagement and developing higher-order cognitive abilities [2]. Thispedagogical shift is supported by evidence suggesting that active learning strategies cansignificantly enhance the performance of engineering students [1]. Such strategies areparticularly well-suited to the applied nature of engineering, where practical problem-solving andthe application of theoretical

Conference Session

Cybersecurity Topics

Collection

2024 ASEE Annual Conference & Exposition

Authors

Walter W Schilling Jr., Milwaukee School of Engineering

Tagged Divisions

Computers in Education Division (COED)

automotive systems. This background has contributed to presentations oncybersecurity, such as Big Data, Cyber Security, and the Lure of the Open Road [1] andCybersecurity and the Lure of the Open Road [2], which looked at the past, present, future needsof the automotive industry for cybersecurity expertise through the lens of autonomous vehicles.While these presentations and interactions have been worthwhile, what has fundamentally beenmissing is direct interaction in the corporate world. The needs of industry are often muchdifferent than the textbook solutions presented in class. To prepare our students to go intoindustry, it was important to have current, relevant domain expertise.To obtain this background, it was important to go into the

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)

Reality [1-22] and Cyber computingtechniques [23] are among the more recent technologies adopted for educational purposes. Thepotential of using such technology to teach simple and complex Science, Math and Engineering(STEM) concepts is significant [22, 23, 24]. Our students live in a cyber enhanced digital worldwhere use of digital technologies is commonplace. Educational trends need to explore adoption ofsuch technologies. As noted in [23], computer or software based learning tools refer to a larger setof tools and environments which enable students to learn using some type of computer technology(which may be web based or running on a PC). Virtual Learning Environments (VLE) are a smallersubset of such computer based learning environments [23

Conference Session

Simulations and Virtual Learning

Collection

2024 ASEE Annual Conference & Exposition

Authors

MEHMET Nasir SARIMURAT, Syracuse University

Tagged Divisions

Computers in Education Division (COED)

form of the equations is presented in the vector form as follows:Continuity: ∂ρ + ∇ · (ρV) = 0 (1) ∂tx-momentum: ∂ (ρu) ∂p + ∇ · (ρuV) = − + ∇ · (µ∇u) + SM x (2) ∂t ∂xy-momentum: ∂ (ρv) ∂p + ∇ · (ρvV) = − + ∇ · (µ∇v) + SM y (3) ∂t ∂yz-momentum: ∂ (ρw) ∂p