in a simulated environment.In part of a more comprehensive study, this paper will integrate authentic assessments andengineering simulations to enhance the transfer of learning in engineering education. One ofour research questions is “How can teaching be redesigned to support students in applyingknowledge and skills in real-world problems?”Literature BackgroundTo understand how knowledge and skills can be applied from foundational modules to projectswith a real-world context, the transfer of learning must be scrutinized. As such, any changes toeducation or teaching must incorporate an understanding of the transfer of learning to bettersupport students. The study of transfer aims to determine to what extent training, or aneducational
Paper ID #41868Evaluating and Comparing Delivery Strategies for Hardware-Based OnlineLabsChristopher A. Sanchez, Oregon State University Dr. Sanchez is a cognitive psychologist with explicit interests in STEM education; specifically in the areas of engineering and design. He is currently an Associate Professor of Engineering Psychology at Oregon State University where he heads the Applied Cognitive Theory, Usability and Learning (ACTUAL) Laboratory.Kahlan Fleiger-Holmes, Oregon State UniversityBrian John Zhang, Oregon State UniversityProf. Naomi T. Fitter, Oregon State University Dr. Naomi T. Fitter is an Assistant Professor in
like theEngineering Integration Pedagogical Content Knowledge (EIPCK) conceptual framework focuson the need for PCK and its subcomponents, namely, 1- Knowledge of Orientation to TeachingEngineering, 2- Knowledge of Engineering Integration Curriculum, 3- Knowledge of Students'Understanding of Engineering, 4- Knowledge of Engineering Teaching Strategy, and 5-Knowledge of Assessment in Engineering [29]. The close relation of this work to the EIPCKframework is evident in the attempt to operationalize its components for practical application andassessment. By tailoring the survey instrument to measure the specific elements of PK and PCKin the GTA training course, which adheres to the outlined knowledge framework in EIPCK, theresearch team seeks to
distance learning is feasible and effectiveacross various fields, including engineering [20]. Studies further support the integration of socialmedia tools into the curriculum [13]. This could involve the creation of educational groups orforums on platforms like Facebook for discussion, peer-to-peer learning, and the dissemination ofcourse-related materials, thus making learning more interactive and accessible. Studies emphasizethe importance of adapting to digital trends in education and suggest that educators should be opento integrating social media into their teaching methodologies while also being aware of itslimitations and potential challenges.Theme 4: Improving education with social media analysisIn the exploration of this theme, three
R. Haapala is an Associate Professor in the School of Mechanical, Industrial, and Manufacturing Engineering at Oregon State University, where he directs the Industrial Sustainability Laboratory and OSU Industrial Assessment Center.Dr. Christopher A. Sanchez, Oregon State University Dr. Sanchez is a cognitive psychologist with explicit interests in STEM education; specifically in the areas of engineering and design. He is currently an Associate Professor of Engineering Psychology at Oregon State University where he heads the Applied Cognitive Theory, Usability and Learning (ACTUAL) Lab- oratory. ©American Society for Engineering Education, 2023Do I need to know this?: A comparison of
thatincorporating more use cases in the structuring of coursework may facilitate the integration ofCT into the engineering curriculum by improving the recognition of CT concepts.BackgroundIn today’s technology-driven world, computers are integral in expanding our capabilities acrossvarious sectors. Computing technologies are transforming sectors, and in the new industriallandscape, solving complex engineering problems calls for the use of computer systems as wellas cross-functional teams [1]. Given that computer-based solutions are becoming increasinglyintegral to the engineering problem-solving and design process, computational thinking (CT)should be a fundamental skill for engineering students so that they can effectively leverage thesetools.Engineers
ChatGPT, posing a potential threat to theequilibrium of academic integrity. The adaptive strategies employed by institutions in responseto GenAI are also discussed in this paper, and we have explored whether instructors restrictstudents’ access using sophisticated detection systems or simply advocate ethical and responsibleuse of GenAI. The potential consequences of these policies on students’ learning were alsoexplored with an emphasis on whether students feel unfairly disadvantaged when detectionsystems fail or if they perceive the need to rely on GenAI tools to maintain academiccompetitiveness.Keywords: Engineering education, generative AI (GenAI), adaptive strategies, undergraduateBackgroundEngineering education is an ever-changing field that
Paper ID #42361Unpacking Student Workload through Elicitation Techniques: Perspectivesfrom Engineering Faculty and StudentsDr. Isabel Hilliger, Pontificia Universidad Cat´olica de Chile Isabel Hilliger is Assistant Professor of Practice and Associate Director for Assessment and Evaluation at the Engineering Education Unit in Pontificia Universidad Cat´olica de Chile (PUC-Chile). Isabel received a BEng and PhD in Engineering Sciences from PUC-Chile, and an MA in Policy Organizations and Leadership Studies from Stanford Graduate School of Education.Prof. Marietta Castro, Universidad San Sebasti´an Marietta holds a
students. However, they argue that students are missing critical skills in thesmart grid field, such as hands-on experiences and market knowledge. This work is part of anongoing effort of a National Science Foundation (NSF) funded study to explore a closed-looppower engineering education and learning approach for meeting the nation’s urgent needs for ahighly qualified Smart Grid workforce. The research question guiding this study is: What skillsare required from the ECE graduate students to serve the SG industry better?MethodsTo create a list of learning objectives that will be the stepping stone for an ECE curriculum tobetter serve the smart grid industry, the research team conducted a qualitative research study atRowan University following the
, and diverse strategies used by universities [1].Craney et al. [2] surveyed 465 undergraduate research participants from varied disciplines andbackgrounds, discovering high satisfaction and significant gains in professional development,deeper subject understanding, and better preparedness for graduate studies and careers. Similarly,Lopatto [3] found that 85% of UR participants in science continued to postgraduate education,with those not pursuing further studies reporting lesser gains. Haddad and Kalaani [4] introduceda model to integrate research into traditional curriculums via summer workshops and designatedcourses, aiming to boost participation through the creation of an Undergraduate Research Office.Lopatto's further research [5
Paper ID #41945Intercultural Attitudes and Behaviors as Exhibited by Cybersecurity StudentsDr. Aparajita Jaiswal, Purdue University Aparajita Jaiswal is an Intercultural Research Specialist with CILMAR, Purdue University. Her research endeavors revolve around exploring strategies for seamlessly integrating intercultural learning into both regular curriculum and study abroad programs. Aparajita actively engages in offering guidance in developing research studies, curriculum enhancements, and assessment methods pertaining to integration and cultivation of intercultural competence. Her expertise extends to facilitating
Deana DiLuggo is an Assistant Professor of Educational Leadership in the School of Education at the University of Bridgeport in Bridgeport, Connecticut. Her research has focused on stress and resilience in secondary teachers. She taught high school science for eight years, served as a science curriculum specialist for two years, and as a principal for three years. She has spent the last two years as an adjunct professor in teacher education and was recently appointed as an assistant professor in a hybrid Ed.D. program at the university level. ©American Society for Engineering Education, 2024 Self-evaluation of the Introduction to Scientific Research Course Design Based on the
research focuses on designing the user experience of machine learning systems, particularly in social computing contexts.Prof. Joe Gibbs Politz, University of California San Diego Joe Gibbs Politz is an Associate Teaching Professor of Computer Science & Engineering at University of California San Diego. His research interests and experience include programming languages and systems as well as education for computer science and adjacent fields. He teaches broadly across the computer science curriculum with a focus on introductory programming and programming languages, and develops tools for teaching computing in both collegiate and secondary school settings. When not programming or teaching, he goes to the dog beach
for students’ personal actions that foster identification with the disciplinarycommunity [24], [31], [32]. It has since been integrated as a key construct for the development ofan engineering identity due to its critical relevance to students’ decisions of who and what theywant to become [23], [28]. How students understand their interests as consistent with their senseof self is an important consideration as they author their own unique engineering identities [23],[30], [33].In relation to an engineering identity, interest is defined as “a person’s likes, preferences,favorites, affinity toward, or attraction to a subject, topic, or activity [34, p. 1].” Interest isunderstood to consist both of how one feels about something as well as how they
chemical kinetics as an example shown in Table 1. While the LHETM model can be adaptedto traditional lecture-based formats, its strength lies in its ability to weave together active learningand inductive teaching, thereby promoting students’ cognitive and metacognitive abilities. Themodel follows a structured sequence starting with L (Law), followed by H (Hypothesis), E(Experiment), and T (Theory), integrating M (Mathematics) at any stage where appropriate.Depending on the specific focus or requirements of a topic, instructors have the flexibility to adjustthe order of these elements to best suit the educational objectives.Table 1. Guideline of using LHETM model in teaching chemical kinetics. Way of instruction
student. Q2 I feel confident that I will succeed in a college 0.692 0.794 curriculum. Q3 I know a lot about using different methods to solve a 0.495 0.829 new problem or tackle a challenge. Table 3 (continued) Q5 I feel that I am at least as capable as other students in 0.668 0.796 my classes. Q10 I feel confident about applying a systematic process to 0.564 0.817 solve an unfamiliar problem. Q11 I have a positive attitude toward myself and my 0.614 0.810 abilities. Factor 4: Understanding of the Broad Nature of Engineering 0.509 α = 0.826
information andimprove their reasoning, they are not inclined to change their minds from their initialintuitive judgment. This finding supports literature that suggests ‘reasoning’ can only goso far in the ethics curriculum if behavioral change is the goal. More interdisciplinaryeducational research is necessary to design an ethics curriculum that can appropriatelyprepare future AI professionals for the demands of industry.1. IntroductionThis evidence-based practice paper details a novel learning intervention for applied ethicseducation curriculum that leverages students’ intuitions as a precursor to the ethical decision-making process. In 2004, Bertolami voiced a concern that ethics is boring: “Most ethicalprinciples are simply too abstract, dry
Paper ID #41436Design Conceptualization over Multiple Design CoursesCaitlyn Berryhill, California Polytechnic State University, San Luis ObispoDr. Amanda Clara Emberley, California Polytechnic State University, San Luis Obispo Dr. Emberley is an Assistant Professor in Mechanical Engineering at California Polytechnic State University, San Luis Obispo ©American Society for Engineering Education, 2024Design conceptualization over multiple design coursesABSTRACTThis research project's focus is to better understand how students are conceptualizing engineeringdesign over their multiple design projects. We focus
asassessed by the decision-maker [11]. Decision-making is integral in day-to-day operations in theengineering workforce, whether it be deciding what angle to make an incline or who to talk towhen uncertain of the next steps to take [9], [10]. While there is variation in who makesdecisions at different companies, those with more experience (and subsequently, more expertise)typically make more decisions. Therefore, a lack of experience may impede the development ofexpertise and preclude engineering practitioners from practicing and improving theirdecision-making skills. We aim to explore this through the lens of COVID-19 with the followingquestions: 3. Have the decision-making processes of current early-career engineers affected by COVID-19
Paper ID #42659Engineering Design Process through Game-Based Learning for FreshmenEngineering StudentsMs. Laura Ngoc Nhi Nguyen, University of Oklahoma 2nd-year Computer science major at the University of Oklahoma with a passion for stimulating more progression in education with the help of technology!Dr. Javeed Kittur, University of Oklahoma Dr. Kittur is an Assistant Professor in the Gallogly College of Engineering at The University of Oklahoma. He completed his Ph.D. in Engineering Education Systems and Design program from Arizona State University, 2022. He received a bachelor’s degree in Electrical and Electronics
% improvement on students’ problem-solving skillsrelated to specific heat. 95% of the students felt that, after this new and student designedexperiment, they had a much better understanding on the topic.IntroductionThe most important goal of engineering education is to help students not only understand themathematical and physical equations of the engineering concepts but also their real-lifeapplications. To bridge the gap between the equations and the real-life applications and enhanceunderstanding of the concepts, lab experiments have been added as integral parts of manyengineering curriculums aimed at assisting students’ learning and applying engineering concepts.Lab classes are more easily to provide an active learning environment [1] because
]. Thisphenomenology-informed exploratory study utilized semi-structured focus groups to understandparticipants’ experiences of having their engineering identities recognized by engineeringfaculty. This study includes data from participants’ first six semesters in an engineering programto capture a variety of faculty-oriented engineering experiences that include the less frequentlystudied middle years [30]. Data was analyzed using directed content and thematic analysis tosupport the exploration of the phenomenon while allowing for the integration of a theoreticalframework including identity and recognition. The first, second, and last authors played asignificant role in the data collection and analysis portion of this study while the other authorswere part of
Mej´ıa, Northwestern University Dr. Mej´ıa is an Associate Professor of Instruction in the Department of Industrial Engineering and Management Sciences. She also teaches in the Design Thinking and Communication (DTC), Masters in Engineering Management (MEM), and College Prep programs. Her research interests focus on mixed methods research in engineering education, curriculum assessment and development, and engineering identity.Dr. Kent J. Crippen, University of Florida Kent Crippen is a Professor of STEM education in the School of Teaching and Learning at the University of Florida and a Fellow of the American Association for the Advancement of Science.Sheila Castro, University of Florida Sheila Castro is a
. The goal is to provide insights that will help framefuture studies of students who do not value engaging with or belonging in their engineeringprograms to the detriment of their professional formation as engineers.Literature ReviewSense of Belonging and Persistence At a fundamental level, humans have the desire to belong. The desire for interpersonalrelationships has an additive effect on that desire. Previous research on students’ academicsuccess has primarily focused on the interaction between students’ sense of belonging,motivation, self-efficacy, and perception of curriculum [1], [2]. On the college campus andwithin STEM classrooms, several characteristics are known to commonly exhibit a positiveeffect on students’ sense of belonging
Paper ID #42335A Synthesis of Discoveries Spanning Ten Semesters of HyFlexDr. Lakshmy Mohandas, Purdue University Lakshmy Mohandas works as an Associate Instructional Developer Researcher at the Center for Instructional Excellence at Purdue University. She completed her Ph.D. in 2022 in Technology from Purdue. Her research interests lie in the interaction between technology and education to help provide equitable teaching and learning experiences. HyFlex learning model, AI in education, equitable learning using different modes of participation, student motivation, and achievement goals are some of her current contributing
for Studies in Transdisciplinary Engineering Education and Practice (ISTEP), Director of the Collaborative Specialization in Engineering Education, a 3M national Teaching Fellow, and a mOliver Pan, University of Toronto Oliver Pan is an undergraduate student at the University of Toronto, studying finance with a double minor in statistics and economics. He exhibits a deep enthusiasm for data analytics, driven by a curiosity to unveil analytical insights spanning multiple sectors such as financial technology. ©American Society for Engineering Education, 2024 Engineering Students’ Engagement and Learning Outcomes: A Typological Approach Qin Liu, Greg Evans, and Oliver
. Barbera, and S. R. Mooring, “Student perspectives on chemistry intelligence and their implications for measuring chemistry-specific mindset,” Chemistry Education Research and Practice, 22(4), 905-922, 2021.[29] G. Lichtenstein, H. Loshbaugh, B. Claar, T. Bailey, and S. Sheppard, “Should I stay or should I go? Engineering students' persistence is based on little experience or data,” In 2007 Annual Conference & Exposition (pp. 12-1277), 2007, June.[30] J. M. Bekki, M. Huerta, J. S. London, D. Melton, M. Vigeant, and J. M. Williams, “Opinion: Why EM? The Potential Benefits of Instilling an Entrepreneurial Mindset,” Advances in Engineering Education, 7(1), n1, 2018.[31] M. R. Oswald Beiler, “Integrating
, “Progress with the professional spine: A four-year engineering design and practice sequence,” Australas. J. Eng. Educ., vol. 19, no. 1, pp. 63–74, Jan. 2013, doi: 10.7158/22054952.2013.11464079.[3] Z. S. Roth, H. Zhuang, and A. Zilouchian, “Integrating design into the entire electrical engineering four-year experience,” presented at the 2019 ASEE Annual Conference & Exposition, Jun. 2019. Accessed: Feb. 12, 2023. [Online]. Available: https://peer.asee.org/integrating-design-into-the-entire-electrical-engineering-four-year- experience[4] R. Khan and L. Romkey, “Scaffolding reflection across the design curriculum: Triangulating Student, Alumni, and Faculty Perspectives of the Role of Design within an Engineering Science
Coordinator at the Engineering School in Pontificia Universidad Cat´olica de Chile (PUC-Chile). Gabriel received an MA in Social Sciences from Universidad de Chile and is Ph.D. student in Computer Science at Pontificia Universidad Cat´olica de Chile.Mr. Luis Eduardo Vargas-Vidal, Pontificia Universidad Cat´olica de Chile Luis Eduardo Vargas-Vidal is the for Teaching Development Coordinator at the Engineering School of the Pontificia Universidad Cat´olica de Chile (PUC-Chile). He is also a Spanish and Communication Professor at PUCV-Chile and obtained his master’s degree in Curriculum Development and Educational Projects from UNAB-Chile.Carolina L´opez, Pontificia Universidad Cat´olica de Chile Carolina L´opez is the
machine learning and cognitive research). My background is in Industrial Engineering (B.Sc. at the Sharif University of Technology and ”Gold medal” of Industrial Engineering Olympiad (Iran-2021- the highest-level prize in Iran)). Now I am working as a researcher in the Erasmus project, which is funded by European Unions (1M $ European Union & 7 Iranian Universities) which focus on TEL and students as well as professors’ adoption of technology(modern Education technology). Moreover, I cooperated with Dr. Taheri to write the ”R application in Engineering statistics” (an attachment of his new book ”Engineering probability and statistics.”)Dr. Jason Morphew, Purdue University Jason W. Morphew is an Assistant Professor