them an opportunity to discover their passion and career pathways.Bibliography1. Chan, Michael, “Hardware Modeling and Implementation of Neural Network for Orientation Selectivity of the Eye”, Master thesis report, San Francisco State University, 2012.2. H. Prado-Guerrero, N. Ettedgui, A. Koushkebaghi, R. Melgar, and H. Mahmoodi, “Modeling and Implementation of Brain-Inspired Neural Network for Edge Detection and Object Recognition,” American Society for Engineering Education Zone IV Conference, Apr. 20143. iOS Developer Library. “Performing Convolution Operations”. Retrieved August 5, 2014. Online: https://developer.apple.com/library/ios/documentation/Performance/Conceptual/vImage/ConvolutionOperations
– it may be as little as givingfew clarifications, and as big as doing the whole assignment for the student1,2,3. If the purpose ofhomework assignments is only to help students master the material, this won’t be a concern (byallowing someone else do the homework, the student deprives him/herself from a valuablelearning experience, and will face consequences during tests). However, a problem arises whenhomework is included in the overall grade calculation and becomes part of the assessment.Pair Lab Assignments Proceedings of the 2015 American Society for Engineering Education Pacific Southwest Conference Copyright © 2015, American Society for Engineering Education
students to a stronger understanding of spatialvisualization skills, the content for each chapter in Spatial Kids™ was modified to start withsimple assignments that increase in complexity as the students master the skills. An example ofthis approach is demonstrated using the concept of flat patterns, which are 2D patterns that canbe folded up to make a 3D object.Most assignments for this spatial visualization concept are multiple-choice based, making it easyto guess the solution without really understanding the concept. Therefore, the development offree response questions for this concept is desirable. The assignments in the Spatial Kids™ Appstart very easy, to demonstrate how the questions will be structured and encourage students tocontinue
everyinstructor’s teaching style is different, mastering the delivery and arrangement of information canpose extra challenges. Students’ engagement drops unless the topics and their delivery are notpresented in an interesting way. While preparing the slides and activities, the UNITES teamdeveloped lecture slides in such a way that it would help instructors (especially the new ones) toprepare as well. There were detailed informational slides for each topic. In addition, there werevideos from the LinkedIn Learning course titled “Building Your Team” by Izzy Gasell7. Instructorsare supposed to explain each slide, play the LinkedIn Learning videos, and have a short discussion.These activities consumed a significant amount of lecture time. In addition
Ph.D. in Higher Education from The Pennsylvania State University with aminor in Educational Psychology—Applied Measurement. Her research focuses on Gender and RacialEquity in STEM Education, Learning Experiences and Outcomes for Marginalized Students, and CriticalQuantitative Research and Assessment.Debbie Huffman, North Central Texas CollegeDebbie Huffman, Dean of Instruction for Career & Technical Education (CTE) at North Central TexasCollege, holds a Master of Science in Computer Education & Cognitive Systems and a Bachelor of AppliedArts & Sciences in Applied Technology & Performance Improvement from the University of NorthTexas. She is dedicated to providing students the opportunity to positively change their lives
higher levels of precision and reliability as well as maintaining quality control. He also has involved in implementing of using innovative technologies to make operations more streamline and elevate overall performance. Besides studying, Mostafa has involved in working at Formula SAE in designing suspension systems for the race carDr. Adam Carlton Lynch, Wichita State University ADAM CARLTON LYNCH received the BS and MS degrees in Industrial and Systems Engineering from the University of Southern California. He received his Master of International Management from the Thunderbird School of Management (part of Arizona State University). He completed a PhD in Industrial, Systems, and Manufacturing Engineering (ISME
assignments or solve problems, they may miss out on thethe student's knowledge and capability or if it's a product of AI cognitive process involved in these tasks, which is crucial forassistance. Moreover, when students rely heavily on ChatGPT truly mastering the material.Fig. 1. Sample coding problem taken from one of the online autograding platforms, zyBooks [5]. (a) Coding exercise. (b) Template coding canvas for students to write their code. (c) Solution provided by the student selected as a case study. Additionally, it may shortchange learning rather than alongside the corresponding coding template provided tobuilding understanding, problem-solving skills, and resilience
level of AI obtain, especially for nonlinear systems or systems with complex boundaryinvolvement. Learning goals will allow for identifying the extentof the interaction (e.g., whether the topic needs to be broken intomore manageable learning units) and the learning structure (e.g., B. Assessing Learning Goalsmastering theoretical constructs vs. application of theory to real-world problems.) The AI tutor assists learners in defining their learning objectives, whether assigned by an instructor or self-decided. Goals may include mastering
: https : / / ieeexplore . ieee . org / document / 9157595.[14] GSI, CSIC 2010 Web Application Attacks Dataset, https: / / gitlab . fing . edu . uy / gsi / web - application - attacks - datasets/-/tree/master/csic 2010, Facultad de Ingenier´ıa, Universidad de la Rep´ublica, Uruguay, 2018.[15] M. Johnson et al., Ollama: A Tool for Local Execu- tion of Large Language Models, https : / / ollama . ai / documentation, Accessed: 2025-03-03, 2025.[16] X. Chen, H. Zhang, M. Li, J. Wang, and S. Liu, “Webeye: A large-scale eye tracking dataset in the wild,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), arXiv:2502.21321, 2025, pp. 1234–1243.
required for developing students’ essential skills [2].Although students who used ChatGPT in project-based, reflective, critical thinking, and research-related writing assessments have faced some challenges and shortcomings, they managed to getsatisfactory results with proper training and input. Therefore, the success rate relies on the level ofstudents’ understanding of ChatGPT usage and expected output. However, there is always a riskassociated with mastering this technique that can alter the balance of risk and reward for students[3].Methodology:This case study involved the introduction of a new module regarding Artificial Intelligence inengineering classrooms by looking at the use of generative and non-generative AI in anengineering technical
classes makes it difficult to interact with the students, it brings opportunities to re-designKLAs that better fit an online classroom. In this paper, we recounted our experience ofconducting three online IoT development programs and the aspects of KLA that were used toenhance learning. While online programs constrain the use of physical devices, they provide agreater breadth and depth of experimentation on multiple technologies. We recommend certainbest practices for conducting online IoT workshops to successfully achieve the learningobjectives.References[1] N. B. Alotaibi, ‘A Study on Teaching Computer Science Algorithms Using KinestheticLearning Activities’, Masters’ thesis, California State Polytechnic University, Pomona, 2017.[2] J
performance in the exams. This methodology also reduces the numberof exam collaborations in the take-home exams, and this method can be applied to bothprogramming classes and traditional lecture classes.2 IntroductionSummative assessments, such as course exams, are important tools in higher education. Theseexams help instructors evaluate their students’ performance and help instructors determinewhether their students are meeting the learning outcomes, Summative exams also motivatestudents to master the subject matter since the students know that they are being assessed.Traditionally, course exams have been in-person, closed-book, and strictly-timed assessmentsdesigned to be completed in a one- to two-hour session. One alternative that has been
Radar Sensor components with the entirebreakdown for the project can be found in Table 1 below. All components 3D-printed shell hidden. Rendered using Fusion 360fit properly in the plastic enclosures. The switch, used as a master on/off,was positioned to the left side to keep clutter off the front panel. TheControl Panel is to be mounted on a wall in an accessible location. Components in this design were selected for their cost (shown in The Control Panel incorporated two fundamental functions ofTable 1), reliability, and ease of interface with each other. They were held programming to operate: Transmission Control Protocol (TCP) andto the shell (invisible) with plastic pegs and super glue. This was both to
.................................................................... 451Wrapping Your Thread around the Proverbial Yo-Yo: The Spool Inquiry-Based Learning Activity..................................................................................................................................................... 460Distance Learning Requirements for Vetting Curricula .............................................................. 470Computer Lab Provisioning: A Review of Current Educational Practices .................................. 483Using the Mastering Engineering Homework Online Tool in the Circuits Course: Advantages andShortcomings .............................................................................................................................. 500
for this study involved all the senior female engineering students who weregraduating from a university in the Midwest in Spring, 2005. These women were selected tocomplete the survey because they were graduating with an engineering degree, thus they werebest able to provide the information needed to better understand the factors that hindered andassisted them in deciding to pursue and in completing a degree in engineering.A master list of all the female engineering students who were graduating at the end of thesemester (Spring, 2005) was obtained from the Women in Engineering Office at the university inthe Midwest. The master list consisted of 127 female engineering students from elevendepartments within the College of Engineering. From the
Paper ID #39335Identity-based Engineering Leadership Instruction: a ReflexiveInstruction Model and Its ImpactDr. Brett Tallman, University of Texas at El Paso Brett Tallman earned his doctorate in Engineering at Montana State University (MSU), with focus on engineering leadership identity. His previous degrees include a Masters degree in Education from MSU (active learning in quantum mechanics) and a B.S. in Mechanical Engineering from Cornell University. He comes to academia with over two decades of industry experience, including quality engineering with Toyota and managing his own consulting practice in biomedical
mentoring relationships and generate strategies to manage them, (3) increaseawareness of cultural diversity in oneself and others, and (4) communicate effectively acrossdimensions of cultural diversity and consider power dynamics. For the implementation, the ECAwas delivered using the combination of an online self-paced module and a two-hour in-persondiscussion session. The self-directed portion, iCAM, served as a primer to prepare mentors forthe later discussion session led by a facilitator [19]. Also, in 2016, the scope of the EMcurriculum was broadened to include another new training module, Promoting Trainee ResearchSelf-efficacy. The pilot test was conducted at the NRMN Master Facilitator. Later, it was offeredin three different formats: (1) a
• Master the basics: mechanics and load flow • Increase/improve interdisciplinary collaboration • Do no harm • Target interventions to improve weak areas of the curriculum • No increase in faculty teaching workloadThese guiding principles then provide a gauge to measure the effectiveness of whatevercompeting solutions emerge. At the same time, the students and industry advisory board wereasked for their recommended guiding principles as we embark on this adventure. The ARCEadvisory board is comprised of practicing structural engineers, architects and project managers.About half of the members at any given time are graduates of the Cal Poly ARCE program. Atthe Fall 2021 Advisory Board meeting (back on campus
casting group said,“Putting processes in practice is one of the best ways to learn and master a subject.”Similarly, a student from the non-casting group said,“Most of our classes are theoretical and we rarely have the opportunity to make parts; sand castingnot only expands our creative ideas but also enriches our experience.” Finally, there was a small set of four student survey responses addressing how availabilityof casting in Capstone impacted the engineering design process. A representative comment of thistype from a student who participated in casting was: “Having the ability to sand cast parts in seniordesign affected my design thinking by allowing me to be more creative when we needed veryspecific parts. We could allow ourselves
empirically that: (1) FF is not aligned withchildren’s’ and adults’ conceptual development in STEM fields and that (2) FF encourages aformalisms-only mindset among instructors that drives out other non-formal representations(such as students’ invented representations) and forms of reasoning within a problem space.Formalisms first privileges symbolic representations as a conduit for conceptualizing engineeringcontent that does not necessarily require application or alternative ways of reasoning. In contrast,progressive formalization (PF) is an effective alternative because students engage in meaningfulreasoning and problem solving by leveraging sensorial experiences to form a strong foundationfor conceptualization before mastering symbolic
impact intensity of resource extraction and consumption (X).The book is organized into three parts. Part I is comprised of Chapters 1–6. The first chapter isan introduction that lays out the IPARX equation as the central organizing framework for the textand the notions of weak and strong sustainability. Energy is introduced as the master resource.CO2 emissions and anthropogenic climate change are the prime example of human impacts. Thenext five chapters each focus on one term in the IPARX equation: human impacts (I), population(P), affluence (A), resources (R), and the impact of resource extraction and consumption (X).Part II (Chapters 7–10) explores the reasons why we face sustainability challenges in severaltopical areas: housing
Missouri at Rolla and the University of Illinois at Ur- bana/Champaign, and Ph.D. from Purdue University. He is a registered Professional Engineer in Missouri. His research interests include resilient infrastructure, protective structures, and engineering education.Kevin ArnettPaul MoodyCol. Aaron T. Hill Jr., United States Military Academy Colonel Aaron Hill is an Assistant Professor and Design Group Director in the Department of Civil & Mechanical Engineering at the United States Military Academy, West Point, New York. He holds a Bachelor of Science degree from West Point, a Master of Science degree in Engineering Management from Missouri S&T, a Master of Science degree in Civil Engineering from Virginia Tech, and
;Lucena, 2017), (Papadopoulos & Nettleship, 2020). Corresponding activities, however, weretypically not weighted as 20% or less of the grade, and although I received a number ofthoughtful essays, these activities did not directly translate into tangible gains of performance orengagement. Yet, without being fully conscious of it, these forays helped me begin my gradualshift of mentality from “showing how” to “coaching through”.In 2020, I attended a workshop on Mastery Based Learning (MBL) at the virtual ASEEConference led by Sara Atwood and Kurt DeGoede of Elizabethtown College. MBL ischaracterized by students earning grades through ‘mastering’ discrete competencies based ontargeted short tests on specific topics, rather than earning grades
, Computer Science California State University Chico sbsiewert@csuchico.edu Associate Professor Adjunct, Computer Engineering University of Colorado Boulder siewerts@colorado.edu Rishab Shah Masters Student, Embedded Systems Engineering University of Colorado Boulder Rishab.Shah@colorado.eduAbstractStudent projects for “Real-Time Embedded Systems”, a course taught at University of ColoradoBoulder and online with Coursera, stresses ability to put
possible as it is possible to learn the business side “[…] moreeasily and without sort of formal education.” (I09M, Pos. 13).5. Discussion and ImplicationsPrior studies show different approaches to implementing and assessing the impact of PBLmechatronics education [35–38]. However, they mainly focus on the teaching approach itself orevaluate the short-term effects on students.Based on our analyses, integrating the PBL approach in this mechatronics course sequence hascreated a technically intense learning experience valuable to future entrepreneurs. Students learnabout the theory, apply it to an open problem, and master the mechatronics skill set. Students andteams support each other, and the teaching team encourages a collaborative environment
mechanical engineering students to enhance their academic success and transition them into a career in STEM.Subha Kumpaty Dr. Subha Kumpaty is a professor of mechanical engineering and program director of master of science in engineering at the Milwaukee School of engineering. Besides teaching a variety of engineering courses in both undergraduate and graduate programs, he leads the research experiences for undergraduates program sponsored by the National Science Foundation. He has led Engineering Education track of the ASME International Mechanical Engineering Congress for more than a decade. He currently co-leads the S-STEM grant with Dr. Fertig which provides scholarships and activities to 20 diverse mechanical
Paper ID #38066How Undergraduate Students Prepare to Become Engineers:The Role of Out-of-class Activities in Civil EngineeringStudents’ Career Preparation and Leadership DevelopmentElizabeth Volpe Elizabeth is a doctoral student at the University of Florida. She is pursuing a Masters and Ph.D. in Civil Engineering as well as a certificate in engineering leadership. Her research interests involve leadership, the experiences of early career women in engineering and improving diversity, equity, inclusion, and justice within engineering education and the engineering workforce. She is also interested in student and
Carter (Assistant Dean of Engineering) (University of Arkansas)Divya Muralidhara Divya Muralidhara is a Data Analyst in the Office of Institutional Research and Assessment at the University of Arkansas. She assists with reporting of University data to state/federal agencies, coordinates data for national/state/professional surveys, creates checks to improve data accuracy and reproducibility, and conducts spatial data analysis and visualization. She has earned her Master of Information Systems degree from the University of Arkansas in 2009 and Master of Science in Electrical Engineering from the University of Florida in 2007. © American Society for Engineering Education, 2022
education, Kelly previously worked in Advancement at York Country Day School, Franklin & Marshall College, and Allegheny College, where she developed working relationships with many industry partners. She has continued to build connections with hundreds of industry partners to benefit York College students. Kelly has a BA in English from Allegheny College, and recently earned a Master of Arts in Strategic Leadership & Management from York College of Pennsylvania. © American Society for Engineering Education, 2022 Powered by www.slayte.com Employers, a vital partner for program assessmentAbstractThis is an evidence-based paper discussing the