curriculum quality standards in the U.S. and manyother countries, namely communication, responsibility, teamwork, and critical thinking per theCriteria for Accrediting Engineering Programs, 2024 – 2025, Criteria 3. Student Outcomes list[23]. Engineering curricula and assessment systems, through programs such as ABETaccreditation, are intended to prepare engineering students for the skills they need to enterindustry. The highest reported professional skills are summarized in Table 2 below, with teamworkand communication identified as being the most common skills lacking in recent engineeringgraduates. The definitions of communication and teamwork were not standard in the researchpapers reviewed, so an exact definition or expectation of these
Intergral in Years 2015 and 2021 9 8 7 6 5 4 3 2 1 0 By hand Calculator MATLAB LabVIEW Mathematica Wolfram Excel Alpha 2015 2021 Figure 2. Comparative technology choices of STEM students for solving an integral question.There are two major differences between the two data sets considered for comparison; There is an increasein the number of students who preferred to solve the definite integral by hand in both institutions. In addition,institution I2 participants preference to use a calculator increased to solve a definite integral when comparedtheir technology
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
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
and supporting other teachers in integrating CS intotheir instruction.Outcomes. While there were challenges, CS4SA yielded several positive outcomes. Teachersvalued the opportunity to learn about CS and found it useful for their classrooms. One teachernoted how improving listening skills helped to strengthen connections with students. Theprogram also facilitated a community where teachers could network and share ideas.Another math teacher with a science background made CS more relatable by inviting his brother,a software developer for a local grocery chain’s mobile app, to conduct an online session for hisstudents. He integrated real-world CS examples into his math curriculum. In addition, he attendedboard meetings to advocate for CS to be
Paper ID #48092Work-in-Progress: Development of a new Robotics Engineering degree inresponse to industry needsDr. Nikhil Satyala, University of Nebraska - Lincoln Nikhil Satyala is an Assistant Professor of Practice in the School of Computing at the University of Nebraska. He specializes in undergraduate instruction, curriculum development, and hands-on engineering education. With a background in electrical and computer engineering, his work focuses on designing and teaching experiential learning modules that integrate robotics, automation, and software engineering.Rachael Wagner, University of Nebraska - Lincoln Rachael
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
Paper ID #45772Barriers and Innovations: Promoting Inclusion in South Dakota’s EngineeringEducationDr. Cristian Eduardo Vargas-Ordonez, South Dakota School of Mines and Technology Cristian Vargas-Ordonez is an Assistant Professor of Mechanical Engineering at the South Dakota School of Mines. He has a Ph.D. in Engineering Education from Purdue University, a Master in Education from the University of Los Andes in Colombia and a Master in Science, Technology, and Society from the National University of Quilmes in Argentina.Cedric Collinge, South Dakota Mines ©American Society for Engineering Education
Science from the University of Nebraska-Lincoln. ©American Society for Engineering Education, 2025 Reducing the DFW Rate for Engineering Majors in Introductory Computer Science Through Contextualized Learning and Peer-Supported EngagementAbstractIn this paper, we examine the efficacy of two major approaches implemented to redesign theComputer Science I course for non-computing engineering majors, with the primary aim ofreducing the DFW (Drop, Fail, and Withdrawal) rate. As computing skills have becomeindispensable in 21st-century engineering, the lack of an engineering-focused curriculum inintroductory Computer Science courses often results in suboptimal learning outcomes and
her Ph.D. degrees in electrical engineering from Chinese Academy of Sciences, China. She has worked with University of New Mexico before joining UIUC where she developed some graduate courses on Electromagnetics. Dr. Shao has research interests in curriculum development, assessment, student retention and student success in engineering, developing innovative ways of merging engineering fundamentals and research applications.Dr. Chrysafis Vogiatzis, University of Illinois at Urbana - Champaign Dr. Chrysafis Vogiatzis is a teaching associate professor for the Department of Industrial and Enterprise Systems Engineering at the University of Illinois Urbana-Champaign. Prior to that, Dr. Vogiatzis was an assistant
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
-design.pdf[Accessed December 18, 2024].[4] J. Dewy, Experience and Education. New York: Macmillan Company, 1938.[5] Y. Liao, M. Ringler, “Backward design: integrating active learning into undergraduatecomputer science courses,” Cogent Education, vol. 10, no. 1, 2204055, Apr. 2023.[6] R. M. Capraro, M. M. Capraro, and J. Morgan, STEM Project-Based Learning: An IntegratedScience, Technology, and Mathematics (STEM) Approach. Rotterdam, The Netherlands: SensePublishers, 2013.[7] S. B. Nite, T. J. Gray, S. Lee, and S. Stebenne, “Engaging Secondary Students in Computingand Cybersecurity,” in Practice and Experience in Advanced Research Computing, PEARC ‘24,July 21-25, 2024, New York: ACM, 2024. 5 pages. https://doi.org/10.1145/3626203.3670624[8] T
projects addressed AI for data integration and analysis. In fall 2023 the grant programwas modified to fund projects that build capacity to implement AI. Twenty-one proposals weresubmitted, of which five received funding. Recipients included faculty in biological andagricultural engineering, entomology, English, physics and psychology [42]. The recipient fromentomology had previously led a project to develop a mobile application that uses AI-vision toidentify the species to which a specific bee belongs [43].Several colleges at KSU have launched initiatives to spread awareness of how AI can be appliedto teaching, learning, and/or research. An associate dean in the College of BusinessAdministration established a team to increase the capacity of the
herdeep interest in understanding how women navigate identity, confidence, and persistence in men-dominated fields like CE. This background made transcendental phenomenology an especiallyfitting approach, as it offers a rigorous, reflective method for accessing and interpretingparticipants’ lived experiences in a way that centers their own meaning-making while striving tobracket prior assumptions.Instructional ApproachThe curriculum developed for this study focuses on embedded systems, specialized computersystems designed for specific functions within larger devices, integrating software and hardwarecomponents [12], [13]. It aims to attract students interested in software by offering practicalapplications of algorithms and programming languages
. 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
curriculum topics compared to a maximumof 2.7 in the world view category for Team D.DiscussionThis research found that a team with a large amount of ND students excelled in group reflectionassignments compared to a team without any ND students. In the context of classroom projects,these findings may indicate that teams with more divergent functionalities may perform strongestwhen working together, rather than separately, on assignments. These findings might revealpractical applications on how to integrate classroom activities to act as an academic interventionfor ND students who otherwise might struggle with traditional learning environments. Utilizingassigned teams in the classroom and providing the option for teams to complete tasksindependently
education to the rural schools, which is seen as a persistent CSeducational challenge [18].Access to computer science education is less prevalent in schools in the rural areas comparedto their more urbanized counterparts [19]. Although Broadening Participation in Computing(BPC) education projects have been effectively implemented in some states in the UnitedStates of America, such as Maryland [20], California [21], and Utah [22], rural schools are notstill within sufficient reach largely due to their geographical disadvantages [23]. An attemptto identify the implementation challenges for a new computer science curriculum in ruralwestern regions of the United States also revealed that the concept of computational thinkingand coding were foreign to
common misconceptions. Thisway, complex technical content is adapted into a more engaging and immersive narrative format.Anticipated ResultsExposure to an experimental curriculum that integrates AI and transmedia storytelling isanticipated to increase student engagement, content retention, and deep learning. It is expectedthat female students, in particular, will report higher engagement and a stronger sense ofbelonging in the course due to the inclusion of diverse role models and narratives. Qualitativedata from student surveys and course feedback reports are expected to show that students feelmore interested in the course content and that they have learned more deeply and meaningfullycompared to a traditional curriculum. Quantitative data
orientation, assessment of higher-order thinking, and the development of strengths-based curriculum to support BIPOC students in K-16 STEM learning. ©American Society for Engineering Education, 2025 Insights from a Practice-Based Program: Connecting Women to Technology and Advancing Diversity in ComputingAbstractThe Linking Interested Females to Technology (LIFT) program, led by Miami Dade College(MDC), supports diverse groups of women transitioning into computing careers. These includewomen who are pursuing an Associate of Arts in computer science at MDC with plans to transferto four-year universities to complete their bachelor’s degrees, as well as women who havealready earned an associate degree
university engineering programs since the release of ChatGPT by OpenAI inNovember 2022 is notable [1]. The integration of generative AI in teaching and educationalresearch within engineering disciplines includes analyzing how educators and learnersunderstand and utilize these tools, examining the potential benefits and challenges, andidentifying educators' perceptions of these technologies [1].AI methodologies support educational praxis and teacher metacognition, aiding teachers'professional development through detailed, context-specific reflection and adaptive decision-making [4]. Generative AI, as an advanced innovative tool, can transform engineering educationby creating content, enhancing personalized learning, and updating curricula efficiently
work. Second,depoliticization frames engineering problems as neutral and apolitical, overlooking howengineering practices intersect with social and political contexts. Finally, the ideology ofmeritocracy perpetuates the notion that success in engineering is determined solely by individualability, ignoring systemic inequities that shape access to resources and opportunities. Thesemindsets collectively limit engineers' capacity to address societal challenges and createsignificant obstacles for educators seeking to integrate values into the curriculum [2].Capstone design courses offer an opportunity to counteract these limitations by incorporatingexplicit values-based learning outcomes [8]. Such outcomes include fairness, which
Reeping is an Assistant Professor in the Department of Engineering and Computing Education at the University of Cincinnati. He earned his Ph.D. in Engineering Education from Virginia Tech and was a National Science Foundation Graduate Research Fellow. He received his B.S. in Engineering Education with a Mathematics minor from Ohio Northern University. His main research interests include transfer student information asymmetries, threshold concepts, curricular complexity, and advancing quantitative and fully integrated mixed methods.Dr. Siqing Wei, University of Cincinnati Dr. Siqing Wei received a B.S. and M.S. in Electrical Engineering and a Ph.D. in Engineering Education program at Purdue University as a triple boiler
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
technologies that promote effective teaching and learning.Dr. Salvatore Enrico Paolo Indiogine Bachelor of Science in Engineering from New Mexico State University and Ph.D. in Curriculum & Instruction from Texas A&M University. I work as an instructional designer at the College of Engineering of Texas A&M University.Nasiha Lachaud, Texas A&M UniversityDr. Wei Lu, Texas A&M University Dr. Wei Lu is a Associate Director of Curriculum for the Master of Engineering Technical Management Program in the Department of Engineering Technology & Industrial Distribution, College of Engineering, at Texas A&M University. Her research focuses on Higher Education in Agriculture; Adult Education, Engineering
transfer students at four-year institutions, with the goal of strengthening engineering identity and supporting national STEM advancement. Prior to joining FIU, Daniel served as a STEM Specialist with the Ministry of Education in Dubai. He is also an author and founder committed to advancing inclusive and impactful STEM education.Dr. Bruk T Berhane, Florida International University Dr. Bruk T. Berhane received his bachelorˆa C™s degree in electrical engineering from the University of Maryland in 2003. He then completed a masterˆa C™s degree in engineering management at George Washington University in 2007. In 2016, he earned a PhDr. Jingjing Liu, Florida International University Dr. Jingjing Liu is a Postdoctoral
Female Students in STEM and Non-STEM MajorsAbstractOver the past decades, the urgent need to boost the pipeline of science, technology, engineeringand mathematics (STEM) professionals, particularly in engineering and computer science hasbecome increasingly critical. This paper addresses the challenge of preparing underrepresentedminorities (URM) and female students in computer science, particularly in cybersecurity,through the integration of diverse academic backgrounds, including both STEM and non-STEMmajors. We detail the implementation of five workshops throughout the academic year thatsuccessfully enhanced participants’ knowledge in computer science, cybersecurity, andengineering.The curriculum was designed to
thing to note is that while we were not able to provide an in-depth investigation intorepresentation within these lessons, it is encouraging that there is not correlation between avatarrole and race or gender. This means that unlike in the traditional gaming sphere45, where avatarsrepresenting women and people of color are often relegated to secondary characters and notmeaningfully included in the main story, the created lessons integrated avatars in meaningfulroles. In the lessons made both by interns and by teachers, women and people of color werefound in all avatar roles, including the main player character. As according to Tajfel’s socialidentity theory, individuals understand their identities based in-part due to their relationship
Paper ID #46967Development of Entrepreneurial Competencies in Engineering Students: AComparative Analysis between In-Person and Online EducationProf. Barbara Munoz-Vallejos, Universidad Andres Bello, Chile B´arbara Estefan´ıa Mu˜noz Vallejos, M.Sc., is an Assistant Professor and faculty member at the School of Engineering, Universidad Andr´es Bello (UNAB), Chile. She holds a degree in Psychology and a Bachelor’s in Psychology from Universidad del Desarrollo (2008). Additionally, she earned a Master’s degree in Curriculum Development and Educational Projects from Universidad Andr´es Bello (2019–2021). She has also
Paper ID #46284Tips and Tricks on Using LaTeX for Creating Teaching Materials—PerspectivesFrom Two Engineering FacultyDr. Julian Ly Davis, University of Southern Indiana Jul Davis is an Associate Professor of Engineering at the University of Southern Indiana in Evansville, Indiana. He received his PhD in 2007 from Virginia Tech in Engineering Mechanics where he studied the vestibular organs in the inner ear using finite element models and vibration analyses. After graduating, he spent a semester teaching at a local community college and then two years at University of Massachusetts (Amherst) studying the biomechanics of
age of industry 5.0,” Journal of Industrial Information Integration, vol. 25, p. 100311, 2022.[36] B. Fatahi, H. Khabbaz, J. Xue, and R. Hadgraft, “Generative ai as a catalyst for enhanced learning experience in engineering education,” Proceedings of the AAEE, 2023.[37] S. J. Zhang, S. Florin, A. N. Lee, E. Niknafs, A. Marginean, A. Wang, K. Tyser, Z. Chin, Y. Hicke, N. Singh et al., “Exploring the mit mathematics and eecs curriculum using large language models,” arXiv preprint arXiv:2306.08997, 2023.[38] Y. Shen, P. Yu, H. Lu, X. Zhang, and H. Zeng, “An ai-based virtual simulation ex- perimental teaching system in space engineering education,” Computer Applications in Engineering Education, vol. 29, no. 2, pp. 329