Paper ID #41764A Hybrid Pedagogy through Topical Guide Objective to Enhance StudentLearning in MIPS Instruction Set DesignTimothy Sellers, Mississippi State University Timothy Sellers received the B.S. degree in robotics and automation technology and applied science in electro-mechanical engineering from the Alcorn State University, Lorman, MS, USA in 2020. He is currently pursuing a Ph.D. degree in the Department of Electrical and Computer Engineering at Mississippi State University, Mississippi State, MS, USA. He is currently a Graduate Teaching Assistant for Senior Design II (ECE4542/ECE4522) and was for Advance
Paper ID #44348Using Generative AI for a Graduate Level Capstone Course Design—a CaseStudyDr. Wei Lu, Texas A&M University Dr. Wei Lu is a Postdoctoral Researcher at the Department of Engineering Technology & Industrial Distribution at Texas A&M University. Her research focuses on Higher Education in Agriculture & Engineering, K-12 (STEM) Education, Communications, MarketingDr. Behbood ”Ben” Ben Zoghi P.E., Texas A&M University Ben Zoghi is the Victor H. Thompson endowed Chair Professor of electronics engineering at Texas A&M University, where he directs the College of Engineering RFID Oil & Gas
familiarizing and grouping past interactionsautomatically. (Rodos, June 2020). Some examples of AI used daily include voice assistants like Siri andAlexa. AI also customizes the daily feeds when one uses social media accounts and assists in our everydaylives.On November 30, 2022, the Chat Generative Pre-Trained Transformer (ChatGPT) occurred.ChatGPT is an extensive language model-based chatbot that OpenAI developed. Therefore, the useof chatbots is still considered new. They are already being utilized in education, providing studentswith immediate access to information and support. Additionally, AI-powered tools can assisteducators in tasks such as speech recognition for students with disabilities, improving lessondelivery, and providing feedback on
from the University of Texas at Brownsville. He recently obtained a Master’s in Digital Forensics from Champlain College after which he founded the B.Sc. in Cyber Security. After graduation, he was employed at several corporations including Pixera, a digital multimedia processing company in Cupertino, CA, 3COM, a networking and communication company in Schaumberg, IL, and Mercantec, an E-Commerce company in Naperville, IL. He has more than 50 publications in the field and has served as a reviewer and moderator for several scientific and educational journals and conferences. He joined UTB (UTRGV) in the Spring of 2000. His areas of interest include AI/Machine Learning, Networking and Cyber Security, and Digital
companies in the Midwest. In addition to one U.S. patent, Schilling has numerous publications in refereed international conferences and other journals. He received the Ohio Space Grant Consortium Doctoral Fellowship and has received awards from the IEEE Southeastern Michigan and IEEE Toledo Sections. He is a member of IEEE, IEEE Computer Society and ASEE. At MSOE, he coordinates courses in software verification, real time systems, operating systems, and cybersecurity topics. ©American Society for Engineering Education, 2024Increasing Faculty Cybersecurity Experience through Externship ExperienceAbstractIn modern world, cybersecurity has become an increasingly important field. Graduates withexperience
among mobiledevices and sensors. However, the increasing attention to pervasive computing introduces newsecurity issues and challenges. Thus, equipping students with the knowledge and skills to handlethe security issues of pervasive computing is crucial yet challenging for educators.Prior efforts have shown initial success in training students with hands-on cybersecurity labs fo-cusing on cloud and mobile computing. However, some fundamental knowledge areas (KAs) andknowledge units (KUs) have not been adequately studied. While significant effort has been in-vested in constructing cloud-based infrastructures or testbeds 1,2,3,4 , network security labs 5,6 , andmobile security labs 7 , educational materials related to specific topics of pervasive
, Games, and Gamification in Security Education, (3GSE 14), 2014. 10[10] Michael Serra, “Pirate Math Treasure hunt puzzles with cryptography”, CMC-S Palm Springs Fall, 2012.[11] D.W. Johnson, and R.T. Johnson, “Social skills for successful group work”. MAA notes, pp.201-204, 1997.[12] M. Sweet, and L.K. Michaelsen eds., “Team-based learning in the social sciences and hu- manities: Group work that works to generate critical thinking and engagement”. Taylor & Francis, 2023.[13] Cryptography Scavenger Hunt, https://inl.gov/content/uploads/2023/04/Cryptography- Scavenger-Hunt-Lesson-Plan.pdf [Accessed on August 17, 2023][14] Jonestastic Math, Cryptography Worksheet and Scavenger
Technologies. ©American Society for Engineering Education, 2024 What do transfer students have to say?An Analysis of the Experience of Transfer Students through Topic ModelingAbstractIn recent years, there has been a notable rise in an alternative route to achieving higher education:a growing number of students are transitioning from 2-year colleges to 4-year institutions to com-plete their undergraduate degrees. Transfer students are a minority among the 4-year institutionstudent population, many being first-generation, low-income, and racial minorities. To understandhow to assist these underrepresented students, the question is: what are the most significant factorsinfluencing the decision to attend a 2
(IEEE-SmarTech), Cleveland, OH, USA. He was Chair and Vice Chair of IEEE SEM - Computational Intelligence Chapter and was a Chair of IEEE SEM - Computational Intelligence Chapter and Chair of Education Committee of IEEE SEM. He has organized and chaired several special sessions on topics of Intelligent Vehicle Systems and Bio-inspired Intelligence in reputed international conferences such as IJCNN, IEEE-SSCI, IEEE-CEC, IEEE-CASE, and IEEE-Fuzzy, etc. He has extensively published in reputed journals and conference proceedings, such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on SMC, IEEE Transactions on Cybernetics, IEEE-ICRA, and IEEE
Ethics Institute and the Leonhard Center for Enhancement of Engineering Education—to facilitate exchange and collaboration between philosophers and engineers. Prior to joining Penn State, he was a postdoctoral research fellow at the Science History Institute working on the history of engineering ethics education. Shih earned his PhD and MS in science and technology studies (STS) from Virginia Tech. He also has a graduate certificate in engineering education (ENGE) from Virginia Tech and a Bachelor of Science in electrical engineering from National Taiwan University. ©American Society for Engineering Education, 2024 Generative Artificial Intelligence (GAI) Assisted Learning: Pushing the
Paper ID #43435Anti-racism, Inclusion, Diversity and Equity in Database Curriculum ThroughGroup Research Projects on Historical, Social and Ethical Database RelatedTopicsDr. Ioulia Rytikova, George Mason University Ioulia Rytikova is a Professor and an Associate Chair for Graduate Studies in the Department of Information Sciences and Technology at George Mason University. She received a B.S./M.S. and Ph.D. degrees in Automated Control Systems Engineering and Information Processing. Her research interests lie at the intersection of Data Science and Big Data Analytics, Cognitive and Learning Sciences, Educational Data Mining
. Copeland, R. Hopson, T. Simmons, and M. J. Leibowitz, “The role of professional identity in graduate school success for under‐represented minority students,” Biochem. Mol. Biol. Educ., vol. 41, no. 2, pp. 70–75, Mar. 2013, doi: 10.1002/bmb.20673.[4] A. Wierzbicka, “A case study of emotion in culture: German Angst,” 1999, pp. 123–167. doi: 10.1017/CBO9780511521256.003.[5] E. H. Erikson, Identity, youth, and crisis, [1st ed.]. New York: New York : W. W. Norton, 1968. [Online]. Available: https://unlv-primo.hosted.exlibrisgroup.com/permalink/f/ovttgp/01UNLV_ALMA21171117 830004081[6] M. P. Orbe, “Theorizing multidimensional identity negotiation: Reflections on the lived experiences of first-generation college students,” New
are designed to produce the next generation of experts in industry andacademia. In parallel to recent advances in science and engineering, convergence research — themerging of diverse knowledge — is being called upon to solve complex problems at theintersection of science and society. To align graduate STEM education with the need ofconvergent approaches, graduate students are expected develop skills in problem solving,collaboration, systems thinking, and communication. This article describes ConGrad, aconvergent graduate education framework that combines transdisciplinary methodologies,experiential learning, and learning by teaching, within the context of a project-based curriculum.Using the ConGrad framework, we propose a program in which
this tool, from the perspective of a prospectivestudent, a current student with academic affairs needs and a current student with student affairsneeds.We have functionality to handle: - general queries (meant for alumni, parents and general users external to the university) - respond to information about scholarships and financial aid - to interact with prospective students to give more tailored departmental selections - to handle students considering multiple majors (or deciding between them)We can also handle undecided students by asking some self-reflection questions. These include: - "What subjects or topics are you genuinely interested in or excited about?" - "What are some activities or projects where you feel most confident and
GPT-2. OpenAI recommends using in conjunction with additional approaches. (95% accuracy) 2) Giant Language Model Text Room (GLTR) [24]: (From Harvard and IBM) (Strobelt & Gehrmann, 2019) Detects likelihood that words were predicted by a bot. Color-coded results aid interpretation. 3) GPTZeroX [25]: Created by Princeton University student Edward Tian for educators. Supports large text inputs and file uploading, claims to identify portions written by AI. Scores on “perplexity” and “burstiness, where perplexity is a measure of randomness and likelihood the next word was bot-generated, and burstiness refers to variations in sentential length and complexity, as these are known features of human writing
upper-levelundergraduate and graduate students at the University of Illinois Urbana-Champaign. The datasetcontains a mix of 100 correct and 400 incorrect submissions and underwent an extensivefine-tuning process with OpenAI’s advanced GPT-3.5-turbo-1106 model [15]. Therefore, ourresearch questions include: • RQ1: How can a proof of concept be designed and implemented to assess the feasibility of utilizing a generative AI model for providing semantic error feedback in educational settings, ensuring that the system avoids disclosing correct answers while enhancing the learning experience? • RQ2: How does the feedback from the fine-tuned GPT model differ in specificity and relevance compared to standard GPT models in the
Manufacturing Engineering at University of Southern California. His current professional interests include design thinking, collaborative engineering, technological innovation, and education reform. He has over 330 ©American Society for Engineering Education, 2024 ChatGPT and Me: Collaborative Creativity in a Group Brainstorming with Generative AIIntroductionThe emergence of generative AI (genAI), exemplified by ChatGPT, offers unprecedentedopportunities to the education system. However, as this technological advancement gainsmomentum, concerns surrounding hallucination [1, 2] and academic integrity [3, 4] have beenraised, casting doubt on its applicability in educational
solution. c) I do not have a preference. d) Other (free entry) Q4) Any comments about your preference for video versus walkthrough? Q5) Any other comments of observations?Respondent DemographicsThe demographics questions and results are reflected in Fig. 4. Respondents came predominantlyfrom five institutions, with the University of Texas at Austin representing the largest sharearound 39%. The most common textbook used was on the topic of Design of Wood Structures[2] (72%), followed by Water and Wastewater Engineering (16%) [3]. The majority were seniors(74%), while about 14% were graduate students. Most respondents used between 2-5 solutionwalkthroughs (41%) or 5-8 walkthroughs (35%). Over half the respondents (52%) said they
university level [28]This paper discusses the design and impact of next generation Virtual Learning Environments inteaching engineering concepts to university students (both undergraduate and graduate students).The term Extended Reality (XR) refers to 3 types of virtual environments: Virtual Reality (VR)Environments, Augmented Reality and Mixed Reality (MR) environments. In this paper, theimpact of adopting VR and MR based learning environments to teach engineering concepts isdiscussed. In general, such Virtual Learning Environments (VLEs) have the potential to be usedto teach engineering topics and concepts ranging from robotics assembly to more complex spacesystems design. Virtual Learning Environments (VLEs) can be viewed as subset of
Engineering Management from the Classroom to the Workplace at the ASEE National Conference June 6, 2023. He was also recognized with the Johns Hopkins Engineering for Professionals Distinguished Instructor Award for 2022-2023.Mr. Stanislaw Tarchalski, The Johns Hopkins University ˚ Tarchalski is a retired senior executive with more than 30 years of progressive responsibility and StaA experience in leading strategic business planning and execution, large/complex program development and management, technical leadership and systems e ©American Society for Engineering Education, 2024 PREPARING FUTURE GENERATIONS FOR EXECUTIVE LEADERSHIP ROLES IN TECHNICAL ORGANIZATIONS
-07-2019-0171Pascale, A. B. (2018). “Co-existing lives”: Understanding and facilitating graduate student sense of belonging. Journal of Student Affairs Research and Practice, 55(4), 399–411. https://doi.org/10.1080/19496591.2018.1474758Piatt, E., Merolla, D., Pringle, E., & Serpe, R. T. (2019). The role of science identity salience in graduate school enrollment for first-generation, low-income, underrepresented students. Journal of Negro Education, 88(3), 269–280.Rising Above the Gathering Storm Committee. (2010). Rising above the gathering storm, revisited: Rapidly approaching category 5. National Academies Press.Roksa, J., Feldon, D. F., & Maher, M. (2018). First-generation students in pursuit of the
-organized groupof chairs and heads of Engineering Education departments. While the chairs that had formed thisgroup, had met several times, and had a healthy exchange of ideas, it was quickly apparent thatthe chairs/directors of graduate programs also had issues to discuss and resources that could beshared or developed together. As such a subgroup of EECHA, the graduate program sub-committee, was formed with the chairs/directors of the various engineering education graduateprograms in 2022. It was in these meetings that the challenges of Open House events werediscussed (among other topics facing the graduate program chairs/directors of the programs)prompted by the recognition of difficulties encountered in 2020-2022 with events being purelyvirtual
% 40.9% 26.4% 23.6% 50.0%This pattern of results suggests that students prefer ISPeL as a tool for more personalized learningopportunities.5 Conclusion and Future WorkIn this paper, we propose a student-centered personalized learning framework for undergraduaterobotics education with general instructors. A learning platform called ISPeL is implementedbased on this framework, and we have conducted a user study to collect students’ feedback. Theuser study results show that our proposed method and ISPeL are promising in enhancing students’education, particularly in understanding the connections between topics and mastering thesubjects.For future data collection, we will use the second survey introduced in the User Study Results
and curricula have been created to train a new generation of scientists to engage with complex issues. It seems critical that those most affected by interdisciplinary education—doctoral students—provide feedback about such innovations. Without understanding students’ experiences in interdisciplinary programs, faculty will not know whether they are “getting it right” for future generations of interdisciplinarians (p. 757). iven the persistent challenges of interdisciplinary graduate education, scholars haveGconsistently called for multifaceted, systemic change across the layered systems of academic institutional governance and the incentive structures both inside and
chairs, deans, student success units, and university leadership toutilize the framework to determine and uniquely predict workforce demands and competitiveskills required of graduates and focus their energy and efforts on those targeted competencieswithin their program. We recognize the need for broad experiences and topics within anengineering program, and recommend increasing translational experiences in engineeringdegrees to provide the important skills required in the workforce to increase job placement andprogram goal achievement.Minimizing loss, increasing goal alignment, and improving student translational skills are allgoals of the translational engineering education model. We recognize that programs andcourses are constrained by time
Paper ID #44397Characterizing Computing Students’ Use of Generative AIMaura Lyons, Codio Maura is a Marketing Associate at Codio with a BA in Psychology and English.Elise Deitrick, Codio Elise has a BS in Computer Science and PhD in STEM Education. Her thesis was on interdisciplinary, collaborative computing using mixed methodologies. Elise combines her over a decade of teaching experience with her research background to create evidence-based computing education tools in her current role at Codio.Mr. Joshua Richard Coughlin Stowell Ball, Codio Joshua Ball is Codio’s Vice President of Marketing and a Senior Fellow at the
Consensus Building Method for Expert Crowdsourcing of Curriculum Topics Brian K. Ngac, PhD Mihai Boicu, PhD Instructional Faculty Associate Professor Costello College of Business College of Engineering and Computing George Mason University George Mason UniversityAbstractState of the art curriculum development efforts today are generally undertaken by solely facultymembers of the program. However, in our previous work [anonymized citation], we showedhow expert crowdsourcing combined with the application of a consensus building method canbe used to perform curriculum development asynchronously with a larger group
graduate education areto (1) break the traditional "one-size-fits-all" approach to graduate STEM education by creating andvalidating a PLM that is inclusive to all students and (2) propagate our engineering education researchinto practice by generating the knowledge to extend this innovation to other STEM graduate programs.The Personalized Learning Model (PLM)Seeded by a shared vision across SSOE and guided by experts in engineering education, we are piloting,measuring, refining, and institutionalizing the PLM for STEM Graduate Education (Figure 1). Recognizingthat a program with "pointwise" personalization (i.e., a single course or professional development focus)will have a modest impact, we propose a personalized learning model that permeates
Paper ID #43206Queer Ties: A Work in Progress LGBTQ+ Graduate Student MentorshipProgramBrandon Bakka, University of Texas at Austin Brandon Bakka is a doctoral candidate at the University of at Austin pursuing a degree in Biomedical Engineering with a certificate in engineering education. He received a BS in Chemical and Biological Engineering from Colorado School of Mines. Brandon is conducting research on the modes of resistance LGBTQIA+ students utilize in response to the climate in STEM departments. He is also running a LGBTQIA+ focus reading group for STEM students to further connect them with their identity, and
with a B.A. in Spanish Language. In addition, Gibson served as a Fulbright-Garc´ıa Robles Scholar in Mexico.Jaime Elizabeth Styer, Colorado School of MinesSofia Lara Schlezak, Colorado School of Mines MS in Humanitarian Engineering and Science ©American Society for Engineering Education, 2024 Empowering students to empower communities: Research translation in graduate engineering research and undergraduate engineering educationAbstractThis paper shows how “research translation” (RT) can become an established practice inengineering education to provide necessary connections between graduate research andundergraduate learning and explicit social relevance of graduate research. RT has been definedby USAID