emphasizes the need to 20 provide pilot and hands-on demonstrations to engage and increase the adoption of RWH practices. Misconceptions or lack of knowledge are the leading cause of apprehension in active participation in RWH. 4. Participants indicated they would be willing to pay $50 for an RWH project in their homes. This can present an opportunity to incentivize participation in RWH initiatives. 5. The differing opinions on climate change, such as the belief that humans do not affect climate change, decrease the desire to participate in RWH practices. If
after Bayh–Dole: Reassessing academic entrepreneurship. Research policy, 40(8), 1045-1057.Grimaldi, R., & Von Tunzelmann, N. (2002). Assessing collaborative, pre‐competitive R&D projects: the case of the UK LINK scheme. R&D Management, 32(2), 165-173.Gruber, M., & MacMillan, I. C. (2017). Entrepreneurial behavior: A reconceptualization and extension based on identity theory. Strategic Entrepreneurship Journal, 11(3), 271-286.Guerrero, M., & Urbano, D. (2012). The development of an entrepreneurial university. The journal of technology transfer, 37(1), 43-74.Hayter, C. S. (2015). Public or private entrepreneurship? Revisiting motivations and definitions of success among academic
composition on student participation in undergraduate engineering project teams,” in 2011 ASEE Annual Conference & Exposition, American Society for Engineering Education, 2011, pp. 22.1449.1-22.1449.13. doi: 10.18260/1-2-- 18957.[46] M. A. E. Natishan, L. C. Schmidt, and P. Mead, “Student focus group results on student team performance issues,” Journal of Engineering Education, vol. 89, no. 3, pp. 269–272, Jul. 2000, doi: 10.1002/J.2168- 9830.2000.TB00524.X.[47] R. Stevens, D. Amos, A. Jocuns, and L. Garrison, “Engineering As lifestyle and a meritocracy of difficulty: Two pervasive beliefs among engineering students and their possible effects,” in 2007 ASEE Annual Conference &
Nathaniel Hunsu is an assistant professor of Engineering Education. He is affiliated with the Engineer- ing Education Transformational Institute and the school of electrical and computer engineering at the university. His interest is at the nexus of the resPravalika Irukulla, University of Georgia Pravalika Irukulla is a Masters student pursuing Biological Engineering at the University of Georgia. She obtained her Bachelors degree in Biological Engineering at the University of Georgia, where she started her research focus on breast cancer metastasis in a tissue engineering laboratory. As a project during graduate degree, she focused on the development of virtual laboratories in the tissue engineering class.Dr. Cheryl T
students to industry. Exposing students to industry in early stages of their academictrajectory allows them to apply theoretical knowledge to real engineering projects orproblems [30].Engineering students in our department must engage in three mandatory summer internshipsat three different employment levels. The first internship leads the student to understand howan enterprise works at the operations level. Interns at this level engage in physical work, suchas working in a production line. The second internship allows the student to understand theenterprise from an intermediate job level. Students are assigned ‘desk jobs’ and work withessential data. The third internship is at the professional level and allows students toexperience working and
object selection further.Unlike the discrete selector, the volumetric selector allows users to select multiple objectssimultaneously, even if other objects occlude some objects. When activated, the volumetricselector projects a cone from the user’s hand, visually representing the selection zone. A spherecast from the user’s hand collides with any objects within the cone’s base diameter (Figure 6).Next, we filter the objects by calculating the object’s angle from the user’s hand using the 𝑝𝑜𝑠𝑐𝑜𝑛𝑒 ⋅𝑝𝑜𝑠𝑜𝑏𝑗𝑒𝑐𝑡following formula: 𝜃 = cos −1 (|𝑝𝑜𝑠 ) 𝑐𝑜𝑛𝑒 ||𝑝𝑜𝑠𝑜𝑏𝑗𝑒𝑐𝑡 | Figure 6. A diagram of the volumetric
assembly process for balance and flow. In a final round they do a design-for-manufacturing exercise to create a new, more buildable design, and use pull, kitting, andkanban tools to create a lean manufacturing system that can typically make five times as manyairplanes as the start state with basically the same resources.The product development simulation involves 7 students taking the roles of project management,design, analysis, systems engineering and verification and testing. They process several differentkinds of paper jobs that have different paths through the system. They perform abstract tasks,attaching labeling dots to the paper “jobs,” with time controlled by sand timers and success orfailure determined by dice. Failure can create rework
appointed by the CEE Editor andPublications Board to evaluate if the current journal structure is best serving the needs of thecommunity at the present time and projected into the future. This community includes the currentconstituency of authors, reviewers, and readers, as well as potential community members whocurrently use other publication venues. The authors represent members of the committee withvarious levels of engagement with CEE, including Publications Board members, editorial staff,active authors publishing in CEE, and those with no previous activity at the journal.Based on this charge, the committee formulated a set of goals and protocols to gather a broad setof data to understand how the journal currently is positioned within the
developing a curriculum based oncontextualized applications and the development of materials that can be used by teachers.Considering these points, this article aims to show which were the subsidies adopted in [14]for the elaboration of a problem articulating mathematics with other areas of knowledge - aproblem that, in Mathematics in the Context of Sciences Theory is called ContextualizedEvent - to teach eigenvalues and eigenvector in Control and Automation Engineeringprograms.For Camarena [15], Contextualized Event are problems or projects with the purpose ofintegrating mathematical contents with the specific contents of the undergraduate program inwhich it is being performed.It is important to emphasize that in this article the focus is not on
development of effective and engaging laboratory-based learning experiences. Inconclusion, hands-on, human-remote, and remote laboratories each have their own advantagesand limitations, and the choice of laboratory setup will depend on the specific learning goals,resources, and constraints of each educational program.Future studies should expand the analysis to virtual and ultra-concurrent labs so that all fivedifferent types can be accurately compared using the same or similar experimental setups.Another current trend in education stems from the abilities of Augmented Reality devices, whichenable a combination of virtual and hands-on laboratories. By using their own hands to interactwith the projected environment, users can better identify with the
ofengineering. Surveying engineering has a significant role in construction and highway projects,mapping and boundary determination, building information management, land informationmanagement, monitoring engineering structures, and more. Surveying makes use of manyrevolutionary technologies including Global Navigation Satellite System (GNSS), laserscanning, photogrammetry, and mapping using small unmanned aerial systems (sUASs).However, the surveying profession suffers from low public profile, making it difficult to attractstudents in surveying / geomatics programs, with many surveying programs experiencing lowenrollment. This issue has led to significant problems in the profession such as increasing theaverage age of surveyors, with unofficial
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
"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
the program names contribute to some of these challenges,leading to questions about whether rebranding to a different name might be beneficial. Otherstudies have explored renaming motivations and results in geography [13], agronomy [14],writing programs [15], vocational education [16], and institutions [17], [18]. There is a generalconsensus that names are powerful, and changes often reveal tensions with the health and/oridentity of programs. Frazier et al. [13, p. 13] notes: “Do name changes reflect an expandedmission… or other goals such as addressing low enrollment, shifting student interests, or thedesire to project a fresh identity or realign with a new academic emphasis?” There may also beconcern about name recognition or conveying the
transitionfrom undergraduate to graduate education can be a difficult transition regardless of gender.Significant differences exist between undergraduate and graduate engineering education in termsof the levels of technical expertise and independence expected of students. While it is part of mostundergraduate curricula to impart fundamental knowledge, teach problem-solving skills, anddevelop critical thinking, as soon as one enters a graduate program, these are assumed. First-yeargraduate students are expected to use their technical expertise and independence inadvanced-level courses and projects/scientific research, alongside older graduate students, withlittle mentoring or training to ease this transition. As a result, most students struggle to
to answer whether the diversity of meme prevalence trajectories observed in the experimental results can emerge from a model with no explicit differences in meme desirability. Student work by Daniel Heitz and Trinity Lee; used with permission.We provide students with a working agent-based SIR model as a starting point in themid-semester, which they modify in a self-directed team project. The “default” path for thisproject is to modify the provided model to make their own abstraction choices, in order toanswer a scientific question related to disease spread. We presented modeling the Meme Game asan advanced option; this requires students to re-interpret the mathematics of the model torepresent different physical
video before completing the readings on the conventional-plustechnologies. These instructional videos were the treatment in the experiment and served as themain independent variable of the research. To ensure equal treatment, by the end of the semester,all participants received the same number of instructional videos to supplement their readings(i.e., six). As an example of this process, in week seven, a standard 50-gallon storage-tank waterheater was compared to a condensing storage water heater. All students were assigned readingscovering both water heaters to be completed before the in-class quiz and group project work.Half of the students in the class were provided with an instructional video on condensing storagewater heaters to be watched