College of Engineering and Computer Science at the University of Texas Rio Grande Valley (UTRGVLaura SaenzDr. Liyu Zhang, The University of Texas, Rio Grande Valley Liyu Zhang is an Associate Professor in the Department of Computer Science Department of Computer Science at the University of Texas Rio Grande Valley. He received his Ph. D. in Computer Science from the State University of New York at Buffalo in Septemb ©American Society for Engineering Education, 2023 A Bridged Cyber Security Curriculum with Embedded Stackable CredentialsAbstract— Supported by a federal grant, The University of Texas Rio Grande Valley (UTRGV)streamlined the Bachelor of Science
Program: Students’ PerspectivesAbstractEffective advising ensures students take the proper classes to stay on track for their graduation.For example, in an engineering curriculum, it is crucial that students maintain the propersequence of courses that results in the culmination of the program's required capstone designcourse(s). Any human error during the advising process can risk the disruption of the smoothprogression through the program for a student. Thus, a computerized web-based advising toolcan be highly useful to eliminate such human errors in identifying the most needed coursesduring an advising session. Currently, many advising tools are available through commercialbusinesses or developed by those working in the field of education. In
Paper ID #43629Innovative Next-Generation Virtual Reality-based ImmersiveApproaches forLearning Engineering ConceptsJ Cecil, Oklahoma State University Dr. J Cecil directs the Center for Cyber-Physical Systems in the department of computer science at Oklahoma State University. His research interest deal with modeling simulation and exchange of information which has led to the creation of interdisciplinary approaches and Frameworks including the creation of cyber physical approaches to support distributed Manufacturing to the design of human centered Computing approaches involving extended reality technologies to support
. Projects can be used in embedded technicalcommunication modules and are scaled up for independent courses.Changing the technical writing and communication (TWC) curriculum will prepare students toemploy technical writing tools already on the market. TWC courses are typically taught insophomore and junior year, and their curricular placement supports more technical lab-basedcourses and senior design courses. By employing the modular approach that this paperadvocates, ML-informed technical writing projects can be scaffolded throughout the curriculum,paired with a more technical course, or tailored to a graduate seminar.Current technical writing courses for engineers support the curriculum by improving EngineeringStudents’ (ES) communication skills
presented papers on approaches and techniques in engineering education.Dr. Joshua L. Hertz, Northeastern University Dr. Hertz earned a B.S. in Ceramic Engineering from Alfred University in 1999 and then a Ph.D. in Materials Science and Engineering from the Massachusetts Institute of Technology in 2006. Following this, he worked at the National Institute of Standards and Technology as a National Research Council postdoctoral fellow. He joined the Department of Mechanical Engineering at the University of Delaware as an Assistant Professor in September 2008, leading a lab that researched the effects of composition and nanostructure on ionic conduction and surface exchange in ceramic materials. In 2014, he moved to
Paper ID #39036Impact of Extra Credit for Practice Questions on Programming Students’Participation and PerformanceDr. Sarah Rajkumari Jayasekaran, University of Florida Sarah Jayasekaran (Dr J) is an instructional assistant professor at the University of Florida. She has a Master’s in Structural Engineering and a Ph.D. in Civil Engineering from the University of Florida (UF). She is originally from the city of Chennai, India. Dr. J came to the United States to pursue her passion for teaching. Her research interest includes smart cities, smart concepts in education, student retention, and curriculum development.Umer
Paper ID #42746Scaffolding Strategies for Teaching ROS 2: An Approach Using JupyterLaband iRobot™ Education’s Create® 3 RobotMiss Kathryn Lara Wujciak, Tufts University Kathryn Wujciak recently graduated from Tufts University with a bachelor’s degree in mechanical engineering and is pursuing a master’s in the same field this year. She has been a teaching assistant for multiple robotics courses throughout her time at Tufts. Kathryn is passionate about educational robotics and hopes to lower the barrier of entry for new engineers.Dr. Briana M Bouchard, Tufts University Briana Bouchard is an Assistant Teaching Professor in
Paper ID #39709A Blended Approach to Design an Introductory Programming Course forNon-CS Majors: Students’ FeedbackMs. Kwansun Cho, University of Florida Kwansun Cho is an Instructional Assistant Professor of the Department of Engineering Education, in the UF Herbert Wertheim College of Engineering. She has been teaching introductory computer programming courses for engineers. She holds two Masters’ degrees in Electrical and Computer Engineering from the University of Florida and Yonsei University, specializing in speech signal processing. Her educational research interests include improved flipped classroom teaching
University of Texas, Rio Grande Valley Liyu Zhang is an Associate Professor in the Department of Computer Science Department of Computer Science at the University of Texas Rio Grande Valley. He received his Ph. D. in Computer Science from the State University of New York at Buffalo in SeptembDr. Hansheng Lei ©American Society for Engineering Education, 2023Early Integrating of Industry Certification Objectives into Modern Cyber Security Degree CurriculumAbstractWe have recently created a new bachelor’s degree in cyber security (B.Sc. CS) [1] to address thenational and pressing needs for cybersecurity specialists, cyber-crime analysts, incident andintrusions analysts, IT
pursue career opportunities at this company and related prominent companies in tech. ©American Society for Engineering Education, 2023Surveying the Importance of Integrating Technical Interviews into Computer Science Curriculums and Increasing Awareness in the AcademyAbstractTechnical interviews are undeniably a vital element when it comes to the successful employmentof new grads and can be attributed to the disparity of employment of computer science (CS)majors. Due to a variety of factors, the preparation and the general importance of technicalinterviews tend not to be emphasized in many CS curricula and academic institutions at large.For this reason, many CS majors are unfamiliar with the technical
Leeds, UK, and completed his Master of Science in Mobile Computing at Bradford University, UK. His undergraduate degree in Electronic Engineering was attained from Albaath University in Homs, Syria. Before transitioning to academia, he worked as a software engineer. Dr. Alrajab’s research focuses on Machine Vision and AI. He is dedicated to supporting women in computing and advocating for increased diversity in the field. Additionally, Dr. Alrajab holds the position of chair for the department curriculum committee and is a member of the college-wide curriculum committee.Dr. Arthur Hoskey, Farmingdale State College SUNY, New York ©American Society for Engineering Education, 2024
Paper ID #42206Board #447: Enhancing Lecture Material with Conceptual Videos: A SupplementaryLearning ExperienceMr. Thomas Rossi, University of New Haven Thomas Rossi is a senior lecturer in Computer Science at the University of New Haven in the department of Electrical and Computer Engineering and Computer Science. His research focuses on improving the post-secondary experience for students through the use of current computing tools and technologies. Thomas graduated with his MS in Computer Science from the University of New Hampshire in 2016. He has previously worked at the Rochester Institute of Technology and at Penn State
for a more personalized, interactive, and practical learning experience in K-12 CSeducation in the future.IntroductionAs technology becomes increasingly important in our society, it’s crucial to equip the newgeneration of K-12 students with computational thinking skills 1,2 . Computational thinking goesbeyond programming abilities; it encompasses problem-solving approaches, data analysis, andsystem design 3 . Given its significance, computer science (CS) education has gained increasingattention as the curriculum for nurturing students’ computational thinking abilities 4,5 . However,there are multiple challenges faced with CS education at K-12 level. Firstly, the abstract nature ofprogramming principles, along with complicated algorithm
Polytechnic Institute and State University, Blacksburg, Virginia; his experience in industry and government includes work as a Highway Engineer, Construction Engineer, Structural, Mechanical, and Consultant Engineer. Dr. Najafi taught at Villanova University, Pennsylvania, and was a visiting professor at George Mason University and a professor at the University of Florida, Department of Civil and Coastal Engineering. He has received numerous awards, such as Fulbright scholarship, teaching awards, best paper awards, community service awards, and admission as an Eminent Engineer into Tau Beta Pi. The Florida Legislature adopted his research on passive radon-resistant new residential building construction in the HB1647
Education, 2024 Student Experiences with Parsons Problems in a First-Year Engineering CourseAbstractComputational skillsets have become ubiquitous in introductory engineering courses to equip thenext generation of engineers to solve modern-day problems during the technological age.Computing Education Researchers focused on improving computing curriculum development,assessment mechanisms, and computational activities to support learning in these contexts.Programmers in the elementary stages of development are challenged with disentangling thedense syntactical thinking prescribed in code creation requiring innovative approaches topedagogical decisions in aligning activities that proactively mitigate these challenges
, 2023 Creating and implementing a custom chatbot in engineering education Shameel Abdullah, Yasser-Al Hamidi, and Marwan Khraisheh Mechanical Engineering Program, Texas A and M University at QatarAbstractThis paper investigates the development and use of a chatbot in an engineering curriculum. Thechatbot helps students find course materials, answer general inquiries, schedule meetings withprofessors and teaching assistants, and much more. Students require assistance during their timeat university. College life is stressful, and tasks such as keeping track of deadlines, schedulingmeetings, and finding resources become daunting as the semester progresses. The constant emailexchanges about general course
student success and retention rates in engineering: An innovative approach for first-year courses,” in 2015 ASEE Annual Conference & Exposition, 2015, pp. 26–926.B. D. Jones, Motivating Students by Design: Practical Strategies for Professors, 2nd ed. Charleston, SC: CreateSpace, 2018.——, “Motivating students to engage in learning: The music model of academic motivation,” International Journal of Teaching and Learning in Higher Education, vol. 21, no. 2, pp. 272–285, 2009.S. Hall, B. D. Jones, C. Amelink, and D. Hu, “Educational innovation in the design of an online nuclear engineering curriculum,” The Journal of Effective Teaching, vol. 13, no. 2, pp. 58–72, 2013.C. S. Smith-Orr and A. Garnett, “Motivation and identity in c++ the effects
’ learning and motivation. Also, she is interested in designing interventions that help in understanding conceptually hard concepts in STEM courses. Dr. Anwar is the recipient of the 2020 outstanding researcher award by the School of Engineering Education, Purdue University. Also, she was the recipient of the ”President of Pakistan Merit and Talent Scholarship” for her undergraduate studies.Dr. Muhsin Menekse, Campbell University Muhsin Menekse is an Assistant Professor at Purdue University with a joint appointment in the School of Engineering Education and the Department of Curriculum & Instruction. Dr. Menekse’s primary research focus is on exploring K-16 students’ engagement and learning of engineering and science
ReviewEducators in engineering are balancing the demands of research with teaching responsibilities.They face challenges in curriculum development, ensuring alignment with evolving accreditationgoals and industry trends, particularly in rapidly advancing areas like IoT and cybersecurity.Administrative duties and student engagement are other significant concerns as educators striveto make learning interactive and engaging in large, often lecture-style, classes.However, there are some barriers to transitioning from face-to-face to online teaching as itrequires intentional planning and preparation, more than needed in a traditional face-to-facecourse [9]. Novice faculty may not have enough experience with teaching, the subject matter,students, and
suggestions for improving the tool asit is positioned to transform engineering education.Keywords: Generative Artificial Intelligence, Pedagogy, Learning, Within-Case Study, Ethics,Engineering EducationIntroductionWhere engineering has always taken a stance on the forefront of technological innovation,engineering education tends to be more hesitant when embracing new and innovativetechnologies in the classroom. With the emergence of technologies such as Generative ArtificialIntelligence (GAI), it is imperative to develop effective strategies for integrating these new toolsinto the curriculum. GAI use is proliferating in society and the engineering workplace. To bestprepare today’s engineering students for the ever-evolving technological workplace
nuanced approach to integrating ChatGPT into the educationallandscape. The results of this review hope to provide valuable insights into assessment methods,help educators evaluate the effectiveness of ChatGPT in engineering education, and pave theway for future research in this rapidly evolving field.Introduction Artificial Intelligence (AI) has been advancing swiftly, with one of its remarkableachievements being the development of ChatGPT by the company OpenAI. ChatGPT is agenerative language model, a type of AI that has the capability to generate human-like text basedon a given prompt or context. It works by analyzing large datasets of text and learning how toformulate responses and generate new content that is coherent and contextually
generate quality outputs, but so-called "promptengineering" resources available may be too generic to be useful. Moreover, without disclosingthe full prompts used to facilitate the application of the LLM – whether in research or as aneducational tool – the transferability of the results and the overall quality of the study iscompromised. With the avalanche of literature concerning tools like ChatGPT, scrutinizingarticles for evidenced-based applications will become increasingly necessary. Research AimIn this work-in-progress paper, we delve into the implementation of different approaches to usingLLMs like ChatGPT in engineering and computing education by examining how these tools arebeing leveraged for
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
since 2018. In addition, joins in 2022 the Smart Adaptive Remote Labs Research Group of the Latin American and Caribbean Consortium of Engineering Institutions (LACCEI). Throughout his professional life, he has been publishing articles, and participating as a speaker in both national and international conferences on different research topics related to engineering education and the relevance of the use of appropriate tools for it. Reymi Then is the ideologue and Co-founder of LAB-VEE Educational TechMakers, where he is cur- rently responsible for the design and production of new technologies, hardware design and production, as well as the design and production of academic content.Dr. Maria M. Larrondo-Petrie, Florida
University Press, 2020). He is dedicated to engi- neering pedagogy and enriching students’ learning experiences through teaching innovations, curriculum design, and support of undergraduate student research.Dr. Alex M. Phan, University of California San Diego Dr. Phan received his Ph.D. in Mechanical Engineering from the University of California San Diego with a specialization in medical devices. He is currently an instructor for the Department of Electrical and Computer Engineering focusing on hands-on education.Aidan Daniel CarriggKarthik SrinivasanJosephine Relaford-Doyle, University of California, San Diego ©American Society for Engineering Education, 2023 Effect of automated instantaneous
expectedto see a strong reliance on cloud computing, big data, and new data-centric engineering approaches [6-7].The National Academies Guide [8] proposes developing robust ways to educate the future workforce. Akey attribute within this guide revolves around concepts that develop data knowledge from domain-specificconsiderations and ethical problem-solving. Zakaria [9] identified that to be successful in these approaches,it is vital to track and incorporate emerging trends into our current engineering curriculum to provide theproper context. The current state of data science education in traditional engineering curricula ofteninvolves the teaching of mathematical, computational, and statistical foundations through non-contextualized classes. This
course. • RQ1: How do students perceive a time-restricted lab submission policy versus a point-restricted lab submission policy? • RQ2: How do these policies affect when students work on assignments and on students’ submission of bug-free code?2 Background and Related WorkMany in computing education are calling for more instruction on testing 7 . There have been anumber of approaches taken to address this need in the CS curriculum. Approaches taken toaddress this need include better tool support for teaching testing 8 , web-based tutorials 9 andgames 10 , and a vision for a test-driven development (TDD)-centered CS curriculum 11 .Introducing testing concepts early in a student’s programming career (i.e., in CS1) may
primary research interests include educational technology, educational data mining, and educational data science.Dr. Muhsin Menekse, Purdue University, West Lafayette Muhsin Menekse is an Associate Professor at Purdue University with a joint appointment in the School of Engineering Education and the Department of Curriculum & Instruction. Dr. Menekse’s primary research focuses on exploring K-16 students’ engagement and learning of engineering and science concepts by creating innovative instructional resources and conducting interdisciplinary quasi-experimental research studies in and out of classroom environments. Dr. Menekse is the recipient of the 2014 William Elgin Wickenden Award by the American Society for
supporting transformative research in artificial intelligence and machine learning and is an essential contributor to growing the workforce needed to advance AI research and development” ... “Advances in AI are crucial for the U.S. science and engineering enterprise, and nearly all sectors of our 21st-century economy. Many of the transformative uses of AI that we are witnessing today are founded in federal government investments in fundamental AI research that reach back over decades. Building the foundations of tomorrow's AI innovations will require new interdisciplinary collaborations, resources, and strategic visions — principles that NSF has championed in its support of fundamental AI research” ... “The AI innovations
Paper ID #41709Natural Human-Computer Interface Based on Gesture Recognition with YOLOto Enhance Virtual Lab Users’ Immersive FeelingMomina Liaqat AliDr. Zhou Zhang, Middle Tennessee State University I have been an Associate Professor in the Department of Engineering Technology at Middle Tennessee State University since August 2022. Before taking this position, I was an Assistant Professor at the CUNY New York City College of Technology from August 2017 to August 2022. I earned my Ph.D. degree in Mechanical Engineering with the honor of the James Harry Potter Award for outstanding performance in the Doctoral Program at the