and retaining URM students.We continue to develop the main components of the SEISS framework including the technicalsystem analysis of key operations and attributes and the social system analysis with focal rolenetworks, GAIL and VECON to contribute to our understanding of how to make systems leveltransformations to better align resources, needs and constraints on capacity to successfullyrecruit and retain URM students.4. AcknowledgmentsThis project was supported by the National Science Foundation (NSF) Award Number DUE-2042363 to all the authors of this work.5. References[1] J. C. Taylor and D. F. Felten, Performance by design: Sociotechnical systems in north america. Prentice Hall, 1993.[2] A. Majchrzak and K. J. Klein, “Things are
engineers and engineering.” ASEE Annual Conference and Exposition, Conference Proceedings, 2004.[7] S. Carreño, E. Palou, A. López-Malo. (2010, June), “Eliciting P 12 Mexican Teachers’ Images Of Engineering: What Do Engineers Do?” ASEE Annual Conference and Exposition, Conference Proceedings, 2010.[8] V. Pizziconi, S. Haag, T. Ganesh, L. Cozort, S. Krause, A. Tasooji, B.L. Ramakrishna, D. Meldrum, B. Lunt, A. Valdez, and V. Yarbrough (2010). “The P3E2 project: The introduction, implementation and evaluation of engineering design integrated across the middle school curriculum.” ASEE Annual Conference and Exposition, Conference Proceedings, 2010.[9] S.Y. Yoon, M.G. Evans, J. Strobel. “Validation of the
- driven, community-wide shared experience. Storytelling served as the connecting theme across the celebrations. 2. Catalyst Meetings for Curiosity, Discovery, and Exploration – Three-per-semester, one-hour-long gatherings of the cohort to explore topics related to personal and professional growth. During the year-long project, catalyst meetings were led by external facilitators, members of the organizing team, and members of the cohort. 3. EML Community Circle Meetings for Value Creation – Every-other-week, 90-minute- long Circle Meetings happened across a range of professional development, personal growth, and work-life interaction issues. The cohort was divided into two circles, and through the first
training the learner in more effectiveways to interpret that information. This has a direct parallel to the collegiate classroom, as instruc-tors aim to inspire mastery over a topic to their students through a variety of methods (homeworkproblems, examinations, projects, etc.) and teach them the corresponding skillsets from feedbackon these assignments. Machine Teaching (MT) research, on the other hand, aims at making theteacher more productive by using their own cognitive models to improve the quality of the dataholistically. Again, this has a corresponding counterpart to current teaching pedagogies; the in-structor decides on the details of an assignment from their own knowledge and experience withthe end goal of having students retain the
4 2 0 1 2 3 4 5 6 7 8 9 10 11 12 Classes with tools Classes without tools Fig. 7 Comparison of students’ learning effectivenessWe have also received many positive comments from our students. Some of them are listed below:“I really enjoyed the hands-on part of this class. The PyEDA helped me a lot to find out simplifiedexpressions.”“I enjoyed building circuits using Logisim. My favorite project is the forward/reverse counter.”“I have learned a lot from this class. I liked the professor’s teaching style. This is one of my favoriteclasses.”“It was quite an enjoyable
follow-up questions during the interviews and finetune the following protocol interviewfor a richer data collection [ [30].Data AnalysisThe interviews were transcribed verbatim and MAXQDA software was used for analysis.Because this project is a work-in-progress, we are currently finishing the first cycle of codingdone individually by three of the authors. For this cycle of coding, we are using deductive codinganalysis guided by the framework and a codebook from the baseline interviews with the samecohort of students, as reported in [26]. The multiple cycles of coding working together andindividually by different researchers provide trustworthiness in the study [31]. The preliminaryresults shared in this paper summarize the working prevalent
specific SOs will beintroduced or reinforced, and thus serve as formative assessment. Assessment in I- and R-designated courses are performed each year, while A-designated courses are assessed once everytwo years. SOs 1 through 3 are assessed in the first year, and SOs 4 through 7 are assessed in thesecond year of the two-year cycle. I-designated courses are all sophomore and first-semesterjunior level courses, while the R-designated courses are second-semester junior level courses.Those SOs that can be more challenging to assess in typical lecture courses, namely SO 2(design), SO 3 (communications), SO 4 (ethics and professional responsibility) and SO 5(teamwork), were concentrated for assessment in courses with design projects (Introduction
whatthey learned into future courses. However, beyond the immediate evaluation, the main challenge isthe sustainability of faculty development programs’ goals over time [10]–[12]. Considering thatour program finished almost five years ago, we have designed a qualitative multiple-case study tofollow the instructors that finished the program and trace the long-term influence of the experienceon their practices and beliefs. As our inquiry is in progress, we will address in this paper theconceptual framework, methods, and preliminary findings of the study.BackgroundThe faculty development program we are following up with this study occurred in the context ofan Institutional Improvement Project (IIP) called “Design and implementation of a strategy
work, she also has an interest in engineering education research. As a doctoral student, she led a project aimed at improving the under- graduate educational experience by systematically incorporating sensor technology into the curriculum as an engaged learning activity, for which she was awarded an ASME Graduate Teacher Fellowship.Prof. Phillip Deierling Dr. Deierling is an Associate Professor of Instruction at the University of Iowa. He holds BS, MS, and Ph.D degrees all from the University of Iowa. Prior to joining the faculty, he was a postdoctoral research associate with the Air Force Research Laboratory through the National Research Council and a design and analysis engineer in the commercial vehicle
interests are diversity, gender equity, retention, project-based learning, cognitive models of problem-solving, and making engineering textbooks more accessible and innovative for students. ©American Society for Engineering Education, 2023 Student Earnestness in Online Circuit Analysis Textbook When Answer is AvailableAbstract:Engineering courses increasingly use online learning materials, especially in response to theCOVID-19 pandemic and the growth in online classes. Online textbooks often have interactivecomponents such as different types of quiz questions which may allow students to reveal theanswer when stuck. These interactive components attempt to engage students
in project management[24, 25]. However, does appealing to similar interests account for the high occurrence ofincoming Computer Science or Chemical Engineering transfers? ConclusionThis work is not intended to explain why students transfer between degree programs in the waysthat they do. Rather, this enhances the understanding of where students are coming from andgoing to when the transfers occur. Without this knowledge, it can be difficult to appropriatelysupport students who find themselves in a degree program they do not enjoy, for one reason oranother. By knowing what common transfer paths are, educators can guide their students to makeinformed decisions in their educational journeys. This
Kettering University. Dr. Finelli’s current research interests include student resistance to active learning, faculty adoption of evidence-based teaching practices, and the use of technology and innovative pedagogies on student learn- ing and success. She also led a project to develop a taxonomy for the field of engineering education research, and she was part of a team that studied ethical decision-making in engineering students.Prof. Stephen L DesJardins Stephen L. DesJardins teaches courses related to public policy in higher education, economics and fi- nances in postsecondary education, statistical methods, and institutional research and policy analysis. His research interests include student transitions from
6meetings in the Fall semester with an average participation rate of 82%. GROUP had 368participants and 5 meetings in the Fall semester with an average participation rate of 51%. GOALhad 69 participants with 6 meetings and an average participation rate of 56%. For more informationon the M&M program visit https://www.purdue.edu/wiep/.Data Collection and Assessment ToolThe data for this project were collected using the online survey software Qualtrics. The survey wasdisseminated at the end of the Fall 2020 semester. A total of 124 of the 597 program participantscompleted the survey voluntarily and anonymously, resulting in a response rate of 20.77%.The survey was comprised of multiple-choice questions about demographics, intrinsic motivation
stories from the past of computing trailblazers, as well as specific information about different networks and projects aimed toward increasing the participation of Black people in computing and computer science. Videos and podcasts feature personal insights from current students and professionals in computing, as well as strategies on how to overcome common struggles in computing such as the impostor syndrome. In addition, Twitter, an online platform that provides a space for people to post short segments of text as well as media, is a space to hear directly from and engage with Black people in technology and computing. Together, these media resources provide opportunities to hear the thoughts and experiences of people in computing and computer
thriving in the declining conditions of the world toslow down that decline as far as possible” [4]. Since SL is becoming increasingly important ineducation [1,3,5], there are growing needs to both measure SL and integrate SL into curricula.Training engineers in sustainability issues in HEI is essential as they develop sustainableproducts, sustainable services, and sustainable solutions worldwide [8.9]. Engineering programsare connected to the complex issues of sustainability and play a significant part in thetransformation of technologies, infrastructure, and management projects in favor of theconservation of the planet. Given the noteworthy contribution of both SL and engineeringprograms to build a sustainable future for all, this paper aims to
Maturity for Engineering Students’,International Journal of Research in Undergraduate Mathematics Education, 5(1), pp. 97–128.doi:10.1007/s40753-019-00083-8.[9] Zavala, G., & Dominguez, A. (2016, June), ‘Engineering Students' Perception of Relevance ofPhysics and Mathematics’ Paper presented at 2016 ASEE Annual Conference & Exposition, NewOrleans, Louisiana. 10.18260/p.26664. doi: 10.18260/p.26664[10] Sazhin, S. S., (1998) ‘Teaching Mathematics to Engineering Students’, International Journal ofEngineering Education, 14(2), pp. 145-152.[11] Lealdino Filho, P. et al. (2016) ‘Students’ Perceptions of Mathematics in Engineering Courses fromPartners of MetaMath and MathGeAr Projects’, in 44th SEFI Annual Conference. Tampere, Finland.Available
/conferences/publishing/style_references_manual.pdfReferences“First Year Experience.” College of Engineering, California State Polytechnic University, Pomona, 2017, www.cpp.edu/~engineering/academics/firstyear.shtml.“Student Outcomes, Criteria for Accrediting Engineering Programs 2019-2020.” ABET, Maryland, 2019 https://www.abet.org/accreditation/accreditation-criteria/criteria-for-accrediting-engineering- programs-2019-2020/#GC3.Part 2 literature review: Dialectical journalStudents will keep a dialectical research journal throughout the course of their project. This is a two-column reaction journal to keep track of your thinking while you are doing research. This should not beconfused with the annotated bibliography done
haveincorporated a value sorting activity into the second semester first-year engineering course. Inthis activity students have reflected on their personal values and completed an activity toidentify their top value. They then worked together with their assigned design project teams todiscuss their value and why it is important to them. Teams have been encouraged to use thoseidentified values as they think about how their team will operate and in writing a team workingagreement. Recently this idea has organically taken hold in most classes, but moving forwardwe plan to formally incorporate this activity in all sections. Additionally, we are planning toincorporate more explicit diversity, equity, and inclusion content as it relates to teamwork. Weplan to
. one school may bemore comparable to one company than assessing all PWIs or all HBCUs). Through disseminationefforts (webinars, seminars, publications) we are working to combat the first limitation, so whilewe were unable to know if we were speaking with anyone who participated in the survey, we havespoken to those who were eligible to participate in the study if they received the call forparticipation during the data collection period. The second limitation is beyond our control giventhat we can provide recommendations based on our findings but acting on those recommendationswould be up to the administration of individual institutions. It is also important to note that whenconsidering using SenseMaker for a research project the ability to
students Figure 7: Showing count of students who felt expressing RL’s opinion on promoting excluded using RLs. diversityWhile it's true that some students may be interested in purchasing physical technology forvarious purposes, regardless of their socioeconomic status, the expensive DE1-SoC hardwaremay not be affordable for everyone. When asked about their willingness to purchase a lab kit orshare one either for classwork or for personal projects or interview preparation, the responsesshowed a tendency to acquire one (figure 8.1 & 8.2). This is where remote labs can provide anaccessible solution, enabling all students to gain access to industry-grade, expensive hardware atan affordable cost. Figure 8.1
were assigned a concept mapping activity as a pre-writing exercisefor a larger proposal assignment. Specifics about the prompt for each group are provided in Table1. In the proposal assignment, students were developing a persuasive argument to convince theirtarget audience to take some desired action (greenlight a project, fund some research, implementa new approach). The goal of the concept map was to provide students with an alternative form fororganizing their thoughts and recognizing what gaps remained in their understanding of, researchon, or argument for their topic. The assignment included a brief reflection asking the students toshare what new connections the map allowed them to see and what “unfinished business” itsurfaced. Students
fromTable 1, in order to make ABET-accreditation a reality, the number of required Engineeringcourses needed to be increased (ABET requires Engineering = 45 credits, Basic Science andMath = 30 credits). The new major includes the same core of engineering mechanics plus hands-on project-based design and analysis courses as well as several electives (Table 3). SixEngineering majors are scheduled to graduate in 2023, eleven in 2024, and thirteen in 2025.Table 3. Engineering Curriculum at Randolph-Macon College. Credit hours in parentheses Engineering Courses Math and Science Courses General Education Courses* Intro to Engineering (3) Introductory Physics (8) Writing and Composition (4) Statics (3) Digital
appropriate experimentation,analyze and interpret data, and use engineering judgment to draw conclusions.”HardwareAll five Machina experiments are run by an Arduino-based board developed to facilitate avariety of projects and experiments across the engineering curriculum known as the Factorem(Latin for maker). This board combines an Arduino Uno clone (the Adafruit Metro Mini 328)with other hardware needed for these and other experiments including a 16 bit analog to digitalconverter, a motor driver, a voltage divider, and a low-pass filter with adjustable cutofffrequency. Key components are shown in Table 1. While the exact cost of these experimentsvaries with the component costs, they are inexpensive. The prototypes presented here werefabricated for
students within Sustain City, a virtual cityenvironment, in which they witness a traffic accident caused by a failure in a traffic light’s internalcontroller. The students are then tasked with redesigning the logic controller in the traffic light.The traffic light logic design is commonly used as a lab project for students in courses related todigital logic and logic design, and as such the game is run in tandem with a lab assignment thatassigns students to design a traffic light controller. At the end of the game, students design andprogram their controller using the Verilog hardware description language and submit it into thegame where it can be checked for errors.2.0.1 Student Data and ProbingAs the student plays, the system records feature
classes were delivered in-person, students were provided with a projected QRcode to easily access the Quiz. The Quiz required a passcode distributed only during class toprevent students who did not attend or participate from completing the exit ticket. Multiplechoice application questions were piloted during the Spring of 2021 for five weeks and wereimplemented as a bonus – correct or incorrect responses did not impact student grades.Brightspace Quizzes are optimized for an instructor to view and grade individual responses.Viewing the set to quickly evaluate qualitative feedback is cumbersome.3.2 Prompt 1 ResultsJust over 1/3 of responses indicated a question after any given class, calculated by averagingfrom three class sections over five
toEngineering Technology Management (ETM) program within the Mechanical Engineering(ME) department.This project provides benefits to multiple areas of the ME program. From the students’perspective, this study seeks to reduce “D”, “F” and “W” grades and helps students to improvetheir grades more towards “A” and “B” by increasing their learning. Also, with this experience,in the long run, this transformation of the traditional classroom to an active learning environmentcan be extended to other courses like Fluids Mechanics, Controls, Machine Design, etc.Moreover, this learning approach promises to increase student success in a core course likedynamics, which should positively impact students’ performance in subsequent courses in theME department.Fig 1
CE12 explain Factor 4. Factor Loading is greater than 0.5. The results of theprincipal component analysis are different from the connotation and structure of theintrapreneurs' competence, so it is necessary to rename and structure the connotationand structure of the intrapreneurs' competence. According to the commonness andcharacteristics of each project, this study names the four common factors extracted:common factor 1 is named "innovation competence", common factor 2 is named "teamleadership competence", common factor 3 is named "risk management competence",and common factor 4 is named "individual characteristics". Table 3 Factor analysis of “the intrapreneurs’ competence Composition scale” Common Factor
coastalrecession with each having multiple potential solutions through differing engineering projects[5]. Each solution has its uses as well as their drawbacks, thus it is important to educate currentand future engineers of these complex system solutions. While numerous literature sources existthat explain these systems, we believe that a simulation video game can be used as a teaching aidto educate an audience of these systems and their solutions through an action-oriented approach.ArchitectureSimCoast is being developed using Godot version 3, which is a cross-platform open-source videogame engine. Scripts are written in GDScript, the programming language native to Godot, whilemap data is stored in the JavaScript Object Notation (JSON) format.SimCoast
Paper ID #37925An Evaluation of The Relationship between Spatial Skills andCreating a Free Body DiagramSheryl A. Sorby (Professor)Gavin Duffy Gavin Duffy is a lecturer in the School of Electrical & Electronic Engineering, TU Dublin and coordinator of ‘SellSTEM’, a Doctoral Training Network funded under Marie Skłodowska-Curie Actions. Worth just over €4M, SellSTEM consists of 15 PhD students spread across 10 universities in Europe whose projects aim to raise spatial ability levels of children in Europe, especially girls, so they are better prepared for the cognitive demands of STEM learning. Gender is a major
presented by LDM can befound in the necessity to conduct post-processing of the obtained 3D objects and in the adequatecontrol of the ink viscosity [3], [5]. FDM can be used with minimal post-processing and offers theadded advantage of higher resolution, thus the use of FDM in this study [5]. Moreover, at IndianaUniversity – Purdue University Indianapolis (IUPUI), several undergraduate engineering capstoneprojects have involved the use of 3D printing for rapid prototyping and small-scale production ofcomplex objects. This study can provide a framework to improve student adoption of additivemanufacturing as an efficient design project technology.2. Literature ReviewWithin the available reviewed literature for LIB applications, Maurel et al [3] uses