Conference Session

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

Collection

2025 ASEE Annual Conference & Exposition

Authors

Hannah Oluwatosin Abedoh, Morgan State University; Blessing Isoyiza ADEIKA, Morgan State University; Pelumi Olaitan Abiodun, Morgan State University; Oludare Adegbola Owolabi P.E., Morgan State University; Abiola Olayinka Ajala, Morgan State University; OLUWATOYOSI OYEWANDE, Morgan State University

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Diversity

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Computers in Education Division (COED)

enables the creation of personalized learning content, automated feedback, and real-timeacademic support. A notable example is OpenAI’s ChatGPT, a large language model trained togenerate human-like text responses, assisting students and educators in various academic tasks,including writing, coding, and content summarization [4]. While several generative AI models,such as Google Bard and Anthropic's Claude, offer similar capabilities, ChatGPT is known for itswidespread adoption in educational contexts, its advanced natural language processingcapabilities, and its frequent integration into learning management systems and academicworkflows. These factors position ChatGPT as a leading AI tool in education, making it an idealcase for examining the

Conference Session

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

Collection

2025 ASEE Annual Conference & Exposition

Authors

MALEK EL KOUZI, Queen's University; Omar I.M Bani-Taha, Carleton University; Richard Reeve, Queen's University

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Computers in Education Division (COED)

, which encompass actively engaging withsociety and adequately preparing students for academic success. The value ofcollaborative research lies in its capacity to enhance students' social management skills.According to El Kouzi and McArthur, students develop a positive attitude towardslearning activities enhanced with augmented reality, exhibiting enthusiasm andliveliness [16]. Augmented reality's primary benefit lies in its capacity to merge digitalelements with the physical world, providing users with an immersive experience thatseamlessly integrates virtual sensations into their environment, as opposed to solelydisplaying information [17]. The study conducted by Iqbal et al. [18] underscored theimportance of augmented reality (AR) in

Conference Session

Simulations and Virtual Learning

Collection

2024 ASEE Annual Conference & Exposition

Authors

Momina Liaqat Ali; Zhou Zhang, Middle Tennessee State University

Tagged Divisions

Computers in Education Division (COED)

called dataset augmentation. This method introduces variations into the dataset throughthe application of either geometric transformations or kernel filtering operations [11]. Commongeometric transformations encompass resizing, flipping, and stretching images, among others,whereas kernel filtering operations involve actions such as blurring and altering the overall reso-lution of the image. In our specific approach, we opted for kernel filtering over geometric trans-formations to preserve the integrity of the hand landmarks.For the data annotation process, we leveraged MMPose to generate annotations in the specifiedformat. MMPose is an integral component of the renowned MMLab framework, an open-sourcetoolkit built on PyTorch [12]. An

Conference Session

COED Modulus Topics

Collection

2023 ASEE Annual Conference & Exposition

Authors

Damitu Robinson, University of California, Davis; Nicholas Hosein; Andre Knoesen, University of California, Davis; Akash Kashyap

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Computers in Education Division (COED)

online course format. The relationships between course grades, KarmaCollab app engagement, student self-reported sentiment via an end-of-quarter survey, and teaching staff interviews are presented to showcase interesting remote learning insights. At the start of 2020, university students, staff, and faculty faced the unforeseen challenge of transitioning to a fully online curriculum due to the COVID-19 shelter in place order. Although fully online course formats are nothing new, university courses are traditionally built around an in- person experience. One area that thrives from an in-person format is STEM laboratory courses. From chemical mixtures in a controlled lab

Conference Session

The Best of Computers in Education

Collection

2023 ASEE Annual Conference & Exposition

Authors

Jayma Koval, Georgia Institute of Technology; Diley Hernandez, Georgia Institute of Technology; Tom McKlin; Douglas Edwards, Georgia Institute of Technology; Rafael A. Arce-Nazario; Joseph Carroll-Miranda; Isaris Rebeca Quinones Perez, University of Puerto Rico, Rio Piedras; Lilliana Marrero-Solis; Jason Freeman, Georgia Institute of Technology; Taneisha Lee Brown; Pascua Padro; Stephen Garrett; Analia E. Rao; Marion Usselman, Georgia Institute of Technology

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Diversity

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Computers in Education Division (COED)

Paper ID #38704Latinx Culture, Music, and Computer Science Remix in a Summer CampExperience: Results from a Pilot StudyMs. Jayma Koval, Georgia Institute of Technology Jayma Koval is a Research Associate at Georgia Tech’s Center for Education Integrating Science, Mathe- matics and Computing (CEISMC). At CEISMC, she focuses on educational research in the K-12 setting, curriculum development and teacher learning and professional development. She is currently a Doctoral student in Educational Policy Studies at Georgia State University, focusing on Research, Measurement and Statistics.Diley Hernandez, Georgia Institute of

Conference Session

COED: Computing in K-12 / Early Childhood Education

Collection

2023 ASEE Annual Conference & Exposition

Authors

Safia 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

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Computers in Education Division (COED)

. focus on the incorporation of CT into K–12 education. The authors reviewvarious pedagogical approaches for teaching CT, including coding activities, game design, androbotics. They argued that CT should be integrated into the existing curriculum rather thantaught as a standalone subject and provided examples of how this can be done across multiplesubject areas [21]. Also, Rehmat et al. focused on exploring effective instructional strategies forteaching young learners CT. The authors highlighted the importance of developing CT skills inearly education and provided an overview of key CT concepts and skills. It was suggested touse questioning and modeling techniques to aid students in understanding the robot’smovements and associated CT

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

David Reeping, University of Cincinnati; Aarohi Shah, University of Cincinnati

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Computers in Education Division (COED)

tasks,Montenegro-Rueda et al. [12] explored how ChatGPT was being implemented in educationalcontexts, including the benefits and the challenges of adopting the technology for classroom use.In their assessment of the final corpus of 12 papers, the authors provide a high-level summary ofthe findings, including publication location, methods implemented (i.e., quantitative, qualitative,and "theoretical"), and the premise of the papers (e.g., educational supports, educationalchallenges, teacher training). Moreover, the promise of personalized learning is emphasized –describing ChatGPT as an "easy-to use and accessible tool for teachers and students, allowing forquick integration into the classroom" [12, p. 10]. Similarly, İpek et al. [13] reviewed a

Conference Session

Computers in Education Division (COED) Track 4.E

Collection

2025 ASEE Annual Conference & Exposition

Authors

Gabriella Marie Haire, University of Florida College of Education; Pavlo Antonenko; Christine Wusylko, University of Florida; STEPHANIE KILLINGSWORTH, University of Florida; Brian Abramowitz, University of Florida; Jeremy A. Magruder Waisome, University of Florida

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Diversity

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Computers in Education Division (COED)

Paper ID #47569Exploring Student Self-Efficacy in AI Through Model Building ArtifactsMiss Gabriella Marie Haire, University of Florida College of Education Gabriella Marie Haire is a second-year master’s student studying curriculum and instruction with a concentration on educational technology at the University of Florida College of Education. She received a bachelor’s degree in educational sciences with an emphasis in educational technology from the University of Florida College of Education. She is interested in the intersection of AI and AR in K-12 classrooms.Dr. Pavlo Antonenko Pavlo ”Pasha” Antonenko is an Associate

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2023 ASEE Annual Conference & Exposition

Authors

Ryan L. Solnosky P.E., Pennsylvania State University; Rebecca Napolitano; Wesley F. Reinhart, Pennsylvania State University

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Computers in Education Division (COED)

reliance on cloud computing and big data will continuously increase, andnew data-centric technologies and engineering approaches will be developed. Due to this rapidlydeveloping field, there is a need to track these trends and incorporate the corresponding developments intoour current science and engineering curriculum. Besides data science skills already taught in traditionalengineering curricula, such as mathematical, computational, and statistical foundations, the NationalAcademies guide discusses that key concepts in developing data acumen include domain-specificconsiderations and ethical problem-solving. This work-in-progress (WIP) paper will highlight the foundation of a comprehensive study toexplore data science education in two

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

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Computers in Education Division (COED)

content, maximizing student engagement and improving learning outcomes.  Bridging the Gap Between Academia and Industry: AI tools and technologies are becoming increasingly commonplace in engineering. Integrating AI into the curriculum equips students with the necessary skills and knowledge to thrive in this technology-driven environment. This includes understanding AI algorithms, data analysis, machine learning, and automation.While AI offers significant benefits, concerns regarding job displacement due to automationremain. However, studies like the one conducted by MIT suggest that AI is unlikely to replace mostjobs cost-effectively. MIT researchers “found only 23% of workers, measured in dollar wages,could be

Conference Session

COED Programming Education 1: Students, Motivation, and Mastery

Collection

2023 ASEE Annual Conference & Exposition

Authors

James E. Lewis, University of Louisville; Nicholas Hawkins, University of Louisville; Brian Scott Robinson, University of Louisville

Tagged Divisions

Computers in Education Division (COED)

taught in thissequence is basic programming.The programming instruction presented in ENGR 111 is an extension of the programming skillslearned in ENGR 110. However, ENGR 110 teaches programming basics in Python, whereas theENGR 111 instruction utilizes Arduino microcontrollers for its programming curriculum. Theprogramming instruction in ENGR 111 also forgoes standalone programming assignments forscaffolded modules that prepare students for an end-of-semester Cornerstone Project.Accordingly, students gain exposure to varying programming languages, and a wide introductionto software design concepts that help prepare them for the remainder of their academic andprofessional careers.In this paper, two semesters of ENGR 111 with two different

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

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

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Computers in Education Division (COED)

dishonestly when submitting various types ofassignments, creating negative consequences for their learning [6]. To avoid ambiguities in thisregard, it is vital that each educational institution and faculty establish clear guidelinesdistinguishing acceptable and unacceptable use of ChatGPT in courses. This information shouldbe included in the curriculum of all courses, not only with the goal of preventing ethical conflictsbut also to reduce students' uncertainty on the matter. These guidelines ensure that thetechnology is used as an educational tool that supports learning rather than circumventing it. It iscrucial to differentiate between scenarios where ChatGPT assistance is allowed and those whereindependent problem-solving without external support

Conference Session

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

Collection

2025 ASEE Annual Conference & Exposition

Authors

Johannes Kubasch, University of Wuppertal; Dominik May, University of Wuppertal; Doha Meslem, Bergische Universität Wuppertal

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Computers in Education Division (COED)

this transformation and its integration into the curriculum, preparing well-equippedand versatile engineers A case study of laboratory within this context was chosen to narrowthe focus and get a better understanding of it. To further engage within the process oflaboratory-based instruction, feedback; interactive and adaptive, plays the major role. Tofurther this project however and set solid grounds for educating about and within this topic, athorough study of the current state in research needs to be done. This necessitates thepresence of this paper as an initial step towards building better understanding of what islacking and what is expected in this field. This paper studies which aspects were present inresearch, which present a gap, and

Conference Session

COED Programming Education 2: Instructional Approaches

Collection

2023 ASEE Annual Conference & Exposition

Authors

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

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Computers in Education Division (COED)

Northeastern University to focus on teaching and developing curriculum in the First Year Engineering program. ©American Society for Engineering Education, 2023 What to Teach First, Hardware or Software? Improving Success in Introductory Programming CoursesAbstractThis complete evidence-based practice paper presents an analysis and lessons learned inintroductory engineering courses with content that includes problem-solving, algorithmic thinking,the use of microcontrollers, and C++ at a medium-sized private urban university. These coursesspecifically incorporate the integration of hands-on, project-based design projects with computerprogramming. The goal of the project work is to provide an

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

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Computers in Education Division (COED)

Questions Coclusion Summary Outline for Slides Slides Faculty Reviews & Compares Individual Surveys Focus Group Analysis Results Figure 2. An integrated overview of the application processing workflow with the data collection process.Figure 2 provides an integrated overview of the application processing workflow, how itinteracts with Open AI’s API, and the data collection process of Phase 1 represented in thispaper. The study thus aims to provide comprehensive insights into the practical utility ofTranscriptto in the context of modern online

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

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Computers in Education Division (COED)

roles. Their supervisor requested an overview of available LLM-assisted writing tools. The following modules were integrated into the course and preceded by acautionary note regarding proprietary ideas and data and the danger potentially present whenusing cloud-based platforms to process text or data. Modules 1-3 and their correspondingapplications were presented, and then applied to an authentic proposal-writing opportunity.Students broke into groups to accomplish the applied task and returned to the larger group toreport on results, findings, and initial impressions of using these writing tools.Module 1: LLM-assisted Drafting (Safely): Available in free and proprietary versions,WordTune [20] is an LLM-driven drafting tool that can help

Conference Session

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

Collection

2025 ASEE Annual Conference & Exposition

Authors

Nicholas Cameron Amely, California State University, Fresno; Wei Wu, California State University, Fresno; Jesus Leyva, California State University, Fresno

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Computers in Education Division (COED)

federal agencies, including National Science Foundation (NSF) grants on XR-enhanced active and authentic learning and faculty professional development for more effective XR integration in STEM teaching and learning.Jesus Leyva, California State University, Fresno ©American Society for Engineering Education, 2025 Student-led VR Content Creation for Engaging Engineering LearningAbstractThis paper documents a student-led Virtual Reality (VR) content creation proof of conceptfunded as a Research Experiences for Undergraduates (REU) supplement to an existing NSF-funded project. The original NSF project focused on faculty professional development using acommunity of practice model to foster the integration of

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)

them and their risks is notsomething built into our engineering curriculum, with the exception of students who enroll in ournetwork security elective.There also is a strong ethical aspect of this work. As a consulting company, employees aredirectly connected to clients’ networks, either through remote access, or preferably, clientsupplied devices which are maintained by the client’s IT organization. This environment placesemployees in potentially ethically challenging environments, as it is likely they may identifypotential vulnerabilities inside of a client’s environment that could be exploited by an externalentity. However, the company is not authorized to investigate or fix these issues. Thus, a strongculture of reporting issues that are

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

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Diversity

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Computers in Education Division (COED)

Intelligence (AI) applications have become an integral part of our lives, from socialapplications on smartphones to crewless vehicles. However, as they remain in the domain of“computer magic,” these new advancements of knowledge processing and reasoning using AI toolswill not be of a great benefit to humanity, unless a complementary education environment isprovided to help students and communities become involved in this scientific revolution early,ethically, and systematically. Introducing and exploring AI concepts and basics earlier in thestudents’ learning journey will help address the future AI job market needs as well as AI ethicsissues and will open the door for new innovative AI applications in all segments of life. The long-term goal of this

Conference Session

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

Collection

2025 ASEE Annual Conference & Exposition

Authors

Chafic Bousaba, Guilford College

Tagged Divisions

Computers in Education Division (COED)

withsignificant hands-on practice. While the concept of Bring Your Own Device (BYOD) or BringYour Own Technology (BYOT) has been widely implemented, it has predominantly focused onpersonal devices for work-related tasks. In contrast, cluster computing, a technology gainingmomentum among developers, researchers, and data scientists, is often impractical to implementin classroom settings due to its resource-intensive nature. This paper introduces the pedagogicalapproach of Bring Your Own Cluster to the Classroom (BYOCC), which combines theportability and affordability of personal devices with the functionality of cluster computing,offering an innovative learning solution.Specifically, this paper explores the application of BYOCC through the use of

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)

allow students an introductory understanding prior to lectures andlabs. Students are then asked in class to implement the content through a variety ofcomputational activities. One such activity is the integration of PPs referred to in the classroomas “Weekly Activities”. The activities are designed to support collaboration in the classroom bycentering the Weekly Activities (WA) as a group activity. In doing so, students are asked to workwith one another to solve the puzzles of code to reconstruct the working code in the correct orderand this is done both using the MATLAB and C/C++ to support both sets of computationallanguages. The PPs also appear in the assessments for the classroom with two midtermexamination existing, one for MATLAB and one

Conference Session

Computers in Education Division (COED) Track 3.B

Collection

2025 ASEE Annual Conference & Exposition

Authors

Yuxuan Chen, University of Illinois Urbana-Champaign; Chenyan Zhao, University of Illinois Urbana-Champaign; Kangyu Feng, University of Illinois Urbana-Champaign; Mattox Alan Beckman, University of Illinois Urbana-Champaign; Mariana Silva, University of Illinois Urbana-Champaign

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Computers in Education Division (COED)

. Similarly, engineering faculty recommendedteaching numerical methods, such as interpolation, integration, regression, and solvingdifferential equations (Table 1). These are critical skills for engineering practice, but we believethey are beyond the scope of CS1. To address this, we introduced tasks in mini-projects wherestudents could begin exploring numerical methods, such as learning and solving differentialequations in an engineering application context. We made sure to provide sufficient guidance andsimplified the code implementation process in these tasks. We informed students that numericalmethods are covered in subsequent courses. The redesigned CS 101 curriculum should remainrelevant without overloading engineering students with advanced

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)

processes and providetraining and resources for CS teachers to improve their education, thus providing students equalaccess to quality CS education 13,14 .The CSTA K-12 CS standards 15 provide a comprehensiveframework essential for integrating AI into K-12 CS education. The standards emphasize not onlytechnical proficiency in CS but also critical thinking and problem-solving skills, preparingstudents to navigate and contribute to an AI-driven future.Most of the existing review articles have primarily focused on the broad spectrum of AIapplications within the realm of education 16,17,18,19 . Some of these reviews have extended theirfocus towards specialized categories of AI applications in education, such as robotics 20 , feedbacksystems 21,22 , and

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)

NASA University Leadership Initiative (ULI) Project “Safe AviationAutonomy with Learning-enabled Components in the Loop: from Formal Assurances to TrustedRecovery Methods” and NSF Excellent in Research (EIR) project “Integrated Sensor-RobotNetworks for Real-time Environmental Monitoring and Marine Ecosystem Restoration in theHampton River”, the authors have successfully developed a research-based course on machinelearning and robotics for undergraduate engineering students at Hampton University. This paperpresents the goals, challenges, design process, engaging strategies, assessment /outcomes, andlessons learned for the new course. Besides, this paper also presents the integration of IBM AIcourse and NVIDIA machine learning modules, along

Conference Session

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

Collection

2025 ASEE Annual Conference & Exposition

Authors

Zifeng Liu, University of Florida; Yukyeong Song, University of Florida; Qimao Yang, University of Florida; Wanli Xing, University of Florida; Jing Guo, University of Florida

Tagged Divisions

Computers in Education Division (COED)

application[7, 8]. However, QC education in higher education remains in its infancy, with many programsstill exploring effective ways to integrate QC into existing curricula. Industry-driven initiatives,such as IBM’s Quantum Experience1 and Google’s Cirq2 , have put efforts in advancing QCaccessibility, but these platforms are often designed for experts or engineering students, leaving asubstantial gap for students from entry stage.Recent years, researchers have focused on develop various educational technologies andpedagogical approaches to support QC instruction. For instance, one study employed adesign-based research approach to teach intermediate-level undergraduate quantum mechanicsthrough drawing and simulations [9], while another introduced an

Conference Session

Computer-Supported Pedagogy and Assessment

Collection

2024 ASEE Annual Conference & Exposition

Authors

Zulal Sevkli, Miami University

Tagged Divisions

Computers in Education Division (COED)

. This was achieved using two parts; the first consisted of multiple-choice andtrue-false questions, while the second required short answers and the designing of partialsolutions using C++ on Canvas. Note that Canvas does not provide a special editor for codingbut a simple textbox. Students could navigate only forward for the first part and forward andbackward through the questions in the second part and were allowed to use handwritten notesduring the test. No other restrictive software or options were used other than Honor system thatstudents may be trusted to act in accordance with an honor system and to formally or informallyattest that they have not violated academic integrity.[7]- Second Type (Open Digital Resources): It had also two

Conference Session

COED: Grading Systems

Collection

2023 ASEE Annual Conference & Exposition

Authors

Liia Butler, University of Illinois, Urbana-Champaign; Geoffrey L. Herman, University of Illinois, Urbana-Champaign

Tagged Divisions

Computers in Education Division (COED)

contexts, the effects of the policy change may not transfer to othercontexts.7 Conclusion and Future WorkWe examine two different policies, a time-restricted policy and a point-restricted policy, to seewhich policy aligned more with the goal of students only submitting well-tested, quality codesubmissions. Under the point-restricted policy, we experienced a modest increase in correct firstsubmissions. For future work, we shift our focus to tackle the testing aspect of submitting onlyquality code. Integrating more explicit testing components to labs will answer the question ofhow well students are testing these submissions, which is an important component to ensure Time-Restricted vs. Point-Restricted

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)

integrate with an open application-program interface from computing environments suchas C, ROS (Robot Operating System), or MATLAB. Although this paper focuses on a wheeledmobile robot, some of these characteristics would still stand. One-quarter of the respondents statedthat they taught their course with an articulated manipulator while another one-quarter usedground-based indoor mobile robots.2.3 Unified Robotics Curriculum Berry et al. [2] proposed that the benefits of robotics to all ages could be improved withthe creation of a unified curriculum that translates to multiple backgrounds. The authors concludethat having a standard framework for a robotics curriculum may provide a means to assess theeffectiveness and value of robotics

Conference Session

COED: Cybersecurity Education

Collection

2023 ASEE Annual Conference & Exposition

Authors

Xiaoli Yang; Ahmad Y. Javaid, The University of Toledo; SaiSuma Sudha; Sai Sushmitha Sudha

Tagged Divisions

Computers in Education Division (COED)

due to the growth oftechnologies, fast connections, and the widespread use of mobile devices. As a result,cybersecurity education is in dire need of an innovative curriculum and teaching approaches.Game-based learning is one of the emergent and quickly evolving types of computer-basedlearning. Creating cloud services and ready-to-use cybersecurity training courses, with a focus onteaching and training cybersecurity algorithms is essential [3]. Providing a virtual lab offers apractical learning environment is a crucial step, to enable thousands of students to access onlinecybersecurity education [4]. A visual lab provides students with a simulated environment wherethey can gain hands-on experience with cybersecurity tools and techniques

Conference Session

COED: Spotlight on Diverse Learners

Collection

2023 ASEE Annual Conference & Exposition

Authors

Reymi Then, Universidad Tecnológica de Santiago; Maria Mercedes Larrondo-Petrie, Florida Atlantic University

Tagged Divisions

Computers in Education Division (COED)

interestedin developing a workstation that integrated as many of the necessary equipment in anelectricity/electronics laboratory as possible and that was economically viable, even forinstitutions with limited resources. To achieve this, the UTESA-OPEX consortium embarked onthe development of several technologies and resources that enabled the functioning of all theinvolved parts in a unified way as an educational ecosystem. Therefore, at the end of the projectdevelopment time, the research team had managed to develop a workstation, a practice board, anLMS platform with educational content, and an application for the interface with the workstation.Workstation:The workstation is the hardware that has been developed to incorporate the electronic boards