asked to use their acquired knowledge to createa technical solution to a real-life problem and satisfy certain customer needs.In the first case study, students are asked to design a digital logic circuit that ensures safe operationof an Ultra Violet (UV) lamps network in a building, projecting UV radiation into the space of therooms. UV lamps are a good disinfection tool against COVID, but should not be used whenbuildings are occupied. In a second case study, students are asked to enhance an existing LEDdisplay controller for an open/closed store sign for a small business owner, to include an extramessage to indicate the owner will be back soon. In a third case study, students are asked to designa personal protective equipment (PPE) vending
2002, doi: 10.1097/00001888-200205000-00003.[6] E. N. O’Reilly, “Correlations among Perceived Autonomy Support, Intrinsic Motivation, and Learning Outcomes in an Intensive Foreign Language Program,” Theory Pract. Lang. Stud., vol. 4, no. 7, pp. 1313–1318, Jul. 2014, doi: 10.4304/tpls.4.7.1313-1318.[7] M. Radovan and D. Makovec, “Relations between Students’ Motivation, and Perceptions of the Learning Environment,” Cent. Educ. Policy Stud. J., vol. 5, no. 2, Art. no. 2, Jun. 2015, doi: 10.26529/cepsj.145.[8] M. E. Beier, M. H. Kim, A. Saterbak, V. Leautaud, S. Bishnoi, and J. M. Gilberto, “The effect of authentic project-based learning on attitudes and career aspirations in STEM,” J. Res. Sci. Teach., vol. 56, no. 1, pp
a scenario where the fresh concrete tests (slump,air content, etc.) show a mixture that is out of specification for the project. Assume that thesample was taken from the middle of the load, so much of the concrete has already been placed.The driver and contractor say that the next trucks will be corrected, that this is typical, and thatthis concrete should be placed rather than rejecting the truck or removing any concrete. From aninexperienced engineer or intern perspective, one might feel at a disadvantage, with thecontractor and workers at the site have significantly more experience. From this perspective, theymight have very limited information, knowing that the specification is meant to ensure “safety tothe public” and that the higher
-curricular experience, • Types of professional skills developed out of a list of 10 presented by the survey which includes “Critical thinking/problem solving", "Engineering design, including use of relevant codes/standards", "Foreign language", "Use of appropriate computer technology", "Use of engineering tool", "Oral/written communication", "Teamwork/collaboration", "Leadership”, "Professionalism/work ethic/integrity", and "Project/time management, • Description of role/responsibility within the activity.Critical Analysis of PDS Survey Adapted from the Seven-step Model in Medical EducationUsing a critical analysis approach that is grounded in critical theory, we aim to re-evaluate thePDS survey in the
of integrating research experiences in a sequence of coursesthroughout the curriculum in a master's program has not been extensively studied in literature,especially in the Big Data and Data Analytics field. Much of the existing research on graduateSTEM education has focused on doctoral education programs. Our project proposes to fill this gap.The following research questions were asked: (1) Is cognitive presence reflected in the students'perception of the research modules? and (2) Do students perceive that the modules helped themapply research concepts and methods?Research Method DesignThis exploratory study used quantitative research methods to examine graduate students' perceivedcognitive presence and their perception of whether the
teaching, including timespent as a buisness consutant, project manager, and as a engineering consultant in private practice.He holds degrees in Mechanical Engineering (BS Duke University, MS CU) and in Civil Engineering(MS George Washington University). He is a licensed P.E. in Colorado.Joan TisdaleMelissa Davis © American Society for Engineering Education, 2023 Approaching Math as a Tool for Engineering: A Bridge into College EngineeringAbstractThere is long-standing data which indicates that many incoming engineering students struggle withmath upon entry into college. A very successful approach has been the Wright State model, whichteaches math in a highly applied engineering
traditional design-based research process [32], beginning by identifying our final project goals,identifying several means to achieve those goals, developing an initial design, refining the initialdesign, and finalizing our solution.Outlining RequirementsTo start our requirements, we recognized that platform compatibility issues (e.g., Windows orApple for PC users) often restrict the user base. Therefore, we chose a web-based platform toensure our final solution could reach a broader number of users. Further, use of a web-basedplatform aligns with our goal to provide educational tools free to all users. Within LearnPIV.org,we desired to use the benefits of interactive learning. Therefore, we designed LearnPIV.org toprovide an experimental module that
research Progress 1962-64.J. Heywood and R. Ann Abel. National foundation for projects complted and in progress Educational research summarised in the book. 1964 NCTA discontinued Replaced by a Council for National Academic Awards with similar functions but across the higher education curriculum. 1965 R Liberal Studies and Higher Technology –L. Davies University of Wales Review of theliterature and research and
to acknowledge the financial support of the Kern Family Foundationthrough the ONU KEEN Institutional Grant (#2018-00871), as well as the help of Mr. ScottCottle, machinist at ONU.References[1] E. Hatzikraniotis and T. Kyratsi, “Materials Science: Trends, Material Properties andEducational Perspectives”. In: Psillos D., Kariotoglou P. (eds) Iterative Design of Teaching-Learning Sequences. Springer, Dordrecht, 2016, pp. 75-100https://doi.org/10.1007/978-94-007-7808-5_5[2] H. Shen and V. R. Mehta (2017), “A Comprehensive Term Project for Materials ScienceCourse”, 2017 ASEE Annual Conference & Exposition, Columbus, OH, Paper ID #18279[3] H. Shen, 2010, “A Self-Designed Experiment for an Undergraduate Materials ScienceCourse”, 2010 ASEE
, and assessments in Calculus classrooms.Lisa Benson (Professor) Lisa Benson is a Professor of Engineering and Science Education at Clemson University, and the Editor of the Journal of Engineering Education. Her research focuses on the interactions between student motivation and their learning experiences. Her projects include studies of student attitudes towards becoming engineers and scientists, and their development of problem solving skills, self-regulated learning practices, and beliefs about knowledge in their field. Dr. Benson is an American Society for Engineering Education (ASEE) Fellow, a member of the European Society for Engineering Education (SEFI), American Educational Research Association (AERA) and Tau
computing, many researchers have set out tostudy and provide strategies to overcome the barriers to representation of the underrepresentedminorities in the computing field.Efforts to broaden the participation of underrepresented minorities in computing include theScalable Game Design project23 targeted at middle school students to motivate their interest incomputing and to develop their capacity for computational thinking. This project achieved a highlevel of participation of females and underrepresented minority students. EarSketch – a hybridplatform (included within a high school Computer Science Principles course) that combinescomputing with music24, and the NSF-supported Mobile CS Principles (Mobile CSP) course areother strategies that target
are also interested in researched-based pedagogy, including project-based learning, community-based learning, and inclusive teaching. Furthermore, they are dedicated to improving the climate for under-represented students in engineering, including LGBTQIA+ individuals.Christopher Tossas-Betancourt Christopher Tossas-Betancourt is a doctoral candidate and graduate student research assistant at the University of Michigan. Christopher is currently pursuing a PhD in Biomedical Engineering. He received a M.S. in Biomedical Engineering at the University of Michigan, and a B.S. in Mechanical Engineering at Georgia Institute of Technology. His research interests include computational modeling of cardiovascular blood flow
reflectsmy background and prior work. Across the course of several projects in Colorado, USA, myteam and I have studied various aspects of sociotechnical thinking, social justice, andmacroethics among students and faculty affiliated with university-based engineering programs.We have identified both barriers and opportunities associated with integrating these concepts intoengineering classes. For example, [11] examined the ways in which students perceived socialjustice in a required engineering science core course and found that some students valued theways in which such integration could help them to think ahead toward their future careers. In[12], we assessed the intersection of sociotechnical integration in engineering classes andintrinsic
related to environmental management, energy and fundamentals of industrial processes at the School of Engineering, UNAB. She currently is coordinating the Educational and Academic Innovation Unit at the School of Engineering (UNAB) that is engaged with the continuing teacher training in active learning methodologies at the three campuses of the School of Engineering (Santiago, Viña del Mar and Concepción, Chile). She authored several manuscripts in the science education area, joined several research projects, participated in international conferences with oral presentations and key note lectures and serves as referee for journals, funding institutions and associations. © American Society for Engineering
Identity. Module Topic 2021 Speaker Dr. David Kaiser, Massachusetts Institute of Technology: History of field “The Military-Astronomical Complex: Testing Einstein’s Relativity during the Cold War” History Dr. Erik Conway, NASA Jet Propulsion Laboratory: History of department “Founding JPL: The GALCIT Rocket Research Project” Dr. Martin Peterson, Texas A&M University: "The Ethical Ethics in industry Failures Behind the Boeing 737 MAX Disasters
scale of 1-5, how reflective (metacognitive) were you when solving this assignment? (Circle a number.) 1 (not at all reflective) 2 3 (reflective) 4 5 (very reflective)MethodsResearch ParticipantsThe research was conducted through a 3-hour senior level review course titled ChemicalEngineering Review at a public Research I (Carnegie designation) university in the southwestUnited States. The present analyses were conducted on de-identified data from the students in thecourse. The project had IRB approval. See “The Fundamentals of Engineering Review Course”section above for further details on the course. Out of the 101 students enrolled in the course,weekly responses associated with this research ranged from 97 to 99
system, derivation of the points ofequilibrium, eigvenvalue analysis for each point of equilibrium, numerical solution using anODE solver, time plots of state variables, plot of orbit in state space, projections plots of the orbiton all three principal planes, numerical solution of Lyapunov exponents, Lyapunov time, andschematic of proposed circuit implementation. Students present their work to the rest of theclass, discussing challenges and main lessons learned.Learning Outcomes and AssessmentMost instructors understand and agree that assessment is needed to gauge the level ofcomprehension of the course materials11. It is common practice that instructors use exams,quizzes, homework, and other traditional methods. However, most of these methods
"tests" in order to better manage my time around other classes and projects. Especially around finals week with everything being hectic and due at the same time, it would have been more difficult to find a 4 hour block of time rather than multiple 45 min/ 1 hour time blocks. • The exams were challenging but fair. • Solving a complex problem in stages, knowing what the next answer is supposed to look like, really helped visualize the overall process.Won’t matter: • The different parameters for each student is useful in an in-class setting as it encourages independent work. But in an online format such as during the pandemic, everyone is home alone so it wouldn't be necessary
twoinstances (A2 and E2), there were other educators involved. In both cases, the educator reportedhaving to explain ungrading and negotiate the use of ungrading in order to arrive at the ultimatedecision. Further, in the case of E2 (the capstone course), there was a department expectationthat a significant portion of the grade would be based on student performance.Dimension: Emphasis. Across the instances of ungrading, there were three instances in whichungrading mediated the entire grade (A1, A2, and E1). In the remaining instance (E2), studentswere told that the ungrading effort would account for 30% of the grade (and the rest of the gradewould be based on the capstone project effort).The notion of tradeoffs may not be relevant to motivations, but
for their lack of success in school [14, 15]. IQ testing was put in place to“scientifically” demonstrate the inability of students to advance in educational settings, framingLatino/a/x students as mentally deficient, lazy, unhygienic, and culturally flawed [24]. Examplesof the manifestation of deficit ideologies include: (1) the assumption that home language (otherthan English) could be a barrier for learning [16-18]; (2) the presumed incompetency of studentsbased on race, gender, and other social identities [19, 20]; (3) the belief that community andhousehold practices lead to cultural aspects that are to blame for not adjusting to the project ofAmericanization through schooling [13, 21, 22]; and (4) an overall tendency to blame the victim
2019 Award for Excellence in Education Abroad Curriculum Design. He has also worked as a construction project engineer, consultant, and safety inspector. He be- lieves that educating the next generation of professionals will play a pivotal role in sustainability standard practices. In terms of engagement, Dr. Valdes-Vasquez has served as the USGBC student club’s adviser and the ASC Sustainability Team’s faculty coach since 2013. He is currently serving as a CSU President’s Sustainabil- ity Commission member, among multiple other committees. In addition, he is involved with various professional organizations at the national level, including the American Society for Engineering Educa- tion (ASEE), the
- search group that works on a diverse set of projects in robotics and education (http://bretl.csl.illinois.edu/). He has received every award for undergraduate teaching that is granted by his department, college, and campus. ©American Society for Engineering Education, 2023 Comparing Second-Chance Testing Grading Policies for Effective Mastery Learning in STEM CoursesAbstractIn this full research paper, we examine various grading policies for second-chance testing.Second-chance testing refers to giving students the opportunity to take a second version of a testfor some form of grade replacement. Second-chance testing as a pedagogical strategy bears somesimilarities to mastery
laboratories or projects. In some courses the social and historical aspects of the topic are introduced. Examples include the hydrogen economy, energy, materials, and bridges and civil infrastructure [1]. • Engineering Design for Everyone: These courses focus on the engineering design process. In some implementations the courses include engineering majors along with non-engineering majors. Not uncommon in this group are introduction to engineering courses that are open to students not majoring in engineering [1]. • Technological Impacts, Assessment, and History Courses: These courses emphasize the relation between technology and culture, society, history. There is considerable overlap between
. Third, weassigned labels to the unlabeled remaining subset of 200 students’ assignments with the NLPapproach. Lastly, we read those (newly) labeled students’ responses to evaluate whether assignedcodes to those responses through the NLP approaches were accurate or not. Here, accuracymeans that the assigned code represented the idea expressed in student responses. We technicallyimplemented those four processes in Google Colab notebooks that were written using acombination of the R and Python programming languages. All code is presented in the GitHubrepository we have set up for this project at: https://github.com/andrewskatz.Data CollectionThe first-year engineering program (FYE) at Virginia Tech teaches students an ethics modulethat comprises a
play a good role in thecomprehensive questionnaire design.Example 1: The engineering professional code requires that ( ) be given priority.A. Operational standards of the project B. Economic benefits of the projectC. Public safety, health and well-being D. Technological innovations in engineeringExample 2: In the following types,which is/are engineering ethical responsibility(ies): ( ).A. Professional ethical responsibility B. Social ethical responsibilityC. Environmental ethical responsibility D. Corporate ethical responsibilityExample 3: The basic principle(s) for dealing with engineering ethics is/are ( ).A. Humanitarianism -- the basic principle of dealing with the relationship between engineeringand peopleB. Social justice
, specifically within the context of online learning and engagement, educational technologies, curriculum design which includes innovative and equitable pedagogical approaches, and support programs that boost the academic success of different groups of students. She teaches in active learning environments, such as project-based learning and flipped classrooms. She aims to bring EE and CER into practice.Prof. Harini Ramaprasad, University of North Carolina at Charlotte Dr. Harini Ramaprasad is a Teaching Full Professor in the Department of Computer Science at UNC Charlotte. Dr. Ramaprasad received her B.S. degree in Computer Science from Bangalore University and her M.S. and Ph.D. in Computer Science from North Carolina State
©American Society for Engineering Education, 2023 Leveraging Innovation and Optimizing Nurturing in STEM: Investigating role identities of low-income engineering students prior to their first semester of college (NSF S-STEM #2130022)The purpose of the Leveraging Innovation and Optimizing Nurturing in STEM Program (NSF S-STEM #2130022, known locally as LION STEM) is to support the retention and graduation ofhigh-achieving, low-income engineering scholars with demonstrated financial need at Penn StateBerks, a regional campus of The Pennsylvania State University. The LION STEM programbuilds upon the Sustainable Bridges from Campus-to-Campus project (NSF IUSE #1525367)which formed the
researchers using open, emergent coding independently. Survey responses were analyzedline-by-line, focusing on the participants’ descriptions of their identities and their opinions on theterm Latinx. Researchers then met to determine consensus amongst the codes. This was followedby axial coding where the codes identified were compared to one another and relationships werehighlighted. The second stage was to determine themes that arose from the codes. Thecodes/relationships were used to identify themes and patterns across the data.LimitationsThe survey used to gather data for this project brought some limitations. Firstly, it was notspecified in the survey that students were expected to pick terms from the provided list. This ledto some students
. • Graduates of the program will assume expanded responsibilities for collaboration with others including public and worker safety, environmental protection, ethical and legal practices, formal project management and involvement in professional communities or society at large.4. Connection with ABET Learning Outcomes • Upon graduation, students will have the ability to identify, formulate and solve complex engineering problems by applying principles of engineering, science and mathematics. • An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts.5
projects would be one letter grade different in their finalcourse grade if Student A is complete and accurate on all homework while student B is completeand never accurate. For example, in Spring 2022, the homework grade category scores rangedfrom 66% to 104% with an average of 88%.While the initial submission with immediate assessment implementation continues to incentivizestudents to attempt all problems through “completion” points, it removes the grade incentive forreviewing the instructor-provided solution. In this way, students must become more independentin their metacognitive skills and find ways to incentivize their own learning from mistakes. Atthe start of the semester, students ask multiple questions about the format requirements