validation, pragmatic validation, ethical validation, process reliability). Waltherand colleagues’ [26] quality framework draws attention to the pervasiveness of validationthroughout the entirety of a research project, and they offer six validation types to provideguidance for promoting research quality. We take up these quality considerations in theremainder of the study, but first we briefly offer ways of operationalizing the key phrases weinvestigate herein.Operationalizing “Engineering Ethics” and “Diversity, Equity, and Inclusion”In this study, we introduce and interrogate two concerted terms or phrases: (1) EngineeringEthics and (2) Diversity, Equity, and Inclusion (DEI). We do not presuppose how participantsought to define these terms, but
is particularly pressing inengineering, as professionals often work on complex projects involving multicultural teams andinternational stakeholders [5], [23]. Global engineering initiatives, such as sustainableinfrastructure projects, exemplify the demand for collaboration across geographical and culturalboundaries. As Valeeva et al. [27] emphasize, international teamwork is now indispensable in theengineering profession, underscoring the need for these skills.Intercultural Competence in Graduate Education. Graduate-level engineering educationliterature has, to date, typically focused on either psychosocial experiences of graduate school(e.g., attrition and persistence [28], [29], [30], [31], [32], advisor matching [33], [34
does diversity in aerospace engineering mean to you? (Open-Ended)7. Satellite megaconstellations are systems that provide satellite internet through a group of orbiting satellites. SpaceX has currently launched 1,800 of their planned 4,000+ Starlink satellites, and Amazon is developing their own megaconstellation, called Project Kuiper, with 3,000+ satellites. Have you heard of satellite megaconstellations before? (Multiple-Choice)8. Name potential effects of a satellite megaconstellation and indicate whether you feel each effect is positive or negative for society. (Up to 3) (Open-Ended)9. The major U.S. aerospace companies make most of their revenue on defense-related systems. (For example, Lockheed Martin’s revenue is 96
(TMCT) was developed in 2018 at Utah State University as apart of a National Science Foundation funded project in partnership with the National Federationof the Blind (NFB) [9]. The TMCT is a tactile testing instrument that is intended to measure andquantify both spatial visualization and spatial relational capabilities of the BLV population. Afteranalyzing pilot TMCT participant score data, our research team decided to increase the utility ofthe TMCT by splitting the original format of the 25-questions into two parallel subtests (A & B),each containing 12 questions. With this significant change to the format of the instrument, weneeded to determine if the reliability of the TMCT was retained in its split form.A pilot analysis confirmed
Educational Research and Policy Analysis from NC State University in 1996. She also has an MBA from Indiana University (Bloomington) and a bachelorˆa C™Dr. Catherine Mobley, Clemson University Catherine Mobley, Ph.D., is a Professor of Sociology at Clemson University. She has over 30 years experience in project and program evaluation and has worked for a variety of consulting firms, non-profit agencies, and government organizations, including tDr. Marisa K. Orr, Clemson University Marisa K. Orr is an Associate Professor in Engineering and Science Education with a joint appointment in the Department of Mechanical Engineering at Clemson University.Dr. Rebecca Brent, Education Designs, Inc Rebecca Brent is President of
and Associate Head for Undergraduate Programs in the Department of Aerospace En- gineering. He holds an affiliate appointment in the Coordinated Science Laboratory, where he leads a re- 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 Second-Chance Testing as A Means of Reducing Students’ Test Anxiety and Improving OutcomesAbstractThis full research paper explores how second-chance testing can be used as a strategy formitigating students’ test
Blackfeminist standpoint must be promoted collectively through agency (space to share livedexperiences for the creation of meaning) and power (access to knowledge claims).AgencyMarcel [28] states agency is sensing the pre-reflection self. From this frame of mind, agency isan inherent cause of action due to an immersion with feelings and beliefs. Additionally, agencycan commonly be referred to as a space - describing all the dimensions in which we, as humanbeings, exist (e.g., physical, mental, and social), is used to help understand the importance ofagency. According to Alston et al. [29], the freeing or oppressing of any state of thesedimensions directly impacts an individual's ability to project their reality onto their world.Combining the ideas of
presentations. Her research specializes in engineering education, focusing on remote laboratory evaluation. She is also passionate about exploring various technology applications to enhance engineering education.Dr. Ibrahim H. Yeter, Nanyang Technological University Ibrahim H. Yeter, Ph.D., is an Assistant Professor at the National Institute of Education (NIE) at Nanyang Technological University (NTU) in Singapore. He is an affiliated faculty member of the NTU Centre for Research and Development in Learning (CRADLE) and the NTU Institute for Science and Technology for Humanity (NISTH). He serves as the Director of the World MOON Project and holds editorial roles as Associate Editor of the IEEE Transactions on Education and
the University of Michigan; and serves as a PI/Co-PI on multiple projects funded by the National Science Foundation. He currently serves in editorial capacity for the Journal of Women and Minorities in Science and Engineering, International Journal of Mechanical Engineering Education, and Journal of International Engineering Education.Jeffrey Stransky, New Jersey Institute of Technology Dr. Stransky is a post-doctoral research associate in the School of Applied Engineering and Technology at the New Jersey Institute of Technology. He obtained his PhD in Engineering Education and MS in Mechanical Engineering from ¬¬Rowan university. Dr. Stransky seeks to understand the engineering ideologies that promote potential
understandingand encourage students to engage actively with course material. Furthermore, the substantial impact of analytical effort on analytical exam performancehighlights the significance of targeted interventions aimed at enhancing analytical skills amongengineering students. Educators could implement tailored instructional approaches, such asproblem-based learning, case studies, and hands-on projects, to develop students' analyticalabilities and improve their performance in analytical tasks. Additionally, the findings underscore the value of perceived effort as a predictor ofacademic success in engineering education. By acknowledging and measuring students'perceived effort levels, educators can gain insights into individual learning
the NationalScience Foundation.References[1] D. F. Lohman, “Spatial Ability and G.” 1993.[2] K. S. McGrew, “CHC theory and the human cognitive abilities project: Standing on the shoulders of the giants of psychometric intelligence research,” Intelligence, vol. 37, no. 1, pp. 1–10, Jan. 2009, doi: 10.1016/j.intell.2008.08.004.[3] H. B. Yilmaz, “On the Development and Measurement of Spatial Ability,” International Electronic Journal of Elementary Education, vol. 1, no. 2, pp. 83–96, Mar. 2009.[4] C. Julià and J. Ò. Antolì, “Enhancing Spatial Ability and Mechanical Reasoning through a STEM Course,” International Journal of Technology and Design Education, vol. 28, no. 4, pp. 957–983, Dec. 2018.[5] M. Stieff and D. Uttal, “How
as first-year engineering students, understanding that they still have a lot to learn within the field and have their own specific areas of growth to focus on. 7 Stress I found this class to be stressful / I had a Students did not find the course to be overwhelmingly stressful but did lot of nervous energy surrounding this note that they felt the most stress during projects. course. 8 Stress I found it difficult to relax into this Students felt that there was a lot of work in this
aerospace engineering from the University of Michigan - Ann Arbor and a B.S.E. in civil engineering from Case Western Reserve University, both in the areas of structural engineering and solid mechanics.Dr. Aaron W. Johnson, University of Michigan Aaron W. Johnson (he/him) is an Assistant Professor in the Aerospace Engineering Department and a Core Faculty member of the Engineering Education Research Program at the University of Michigan. His lab’s design-based research focuses on how to re-contextualize engineering science engineering courses to better reflect and prepare students for the reality of ill-defined, sociotechnical engineering practice. Their current projects include studying and designing classroom
-efficacy. Elevated refersto the gap between professed self-efficacy and documented proficiency or actual performance.Ultimately, this maladaptive process did not buoy performance and meta-cognitive insight [36]but instead contributed to STEM attrition.Theme 2: Uneven Access—and Fully Aware Student experiences revealed heterogeneity across the district, but students with higher-quality instruction clustered at specific schools. Students at Schools Beta and Zeta reportedhands-on, project-based learning. Instructors checked for understanding, made sure it wascontextualized to real world applications rather than purely theoretical, and the learningprogressed in difficulty. They did science, rather than learning about science. Students
methodology to this study. Thus, we posit that asking students to confront thedifferences in their espoused beliefs and their behaviors can help them bring awareness toweaknesses in their approach to making process safety judgements.Conceptual FrameworkAs a part of this project, we developed a conceptual framework around criteria that engineersconsider through their process safety judgements: safety, leadership, relationships, production,spending, and time (Table 1). These criteria emerged from process safety literature and ChemicalSafety Board (CSB) case studies [5]–[8] as well as non-engineering industries that rely onpractitioner judgement [2], [3], [10], [32]. Moreover, this conceptual framework has beenleveraged in other recent works regarding
needs of disabledstudents. We also carefully considered our own privileged identities that may bias the analysis,namely, being white, English-speaking, U.S. citizens in academia.Methods The findings presented here are a subset of a larger project and data collection effortfocusing more broadly on the experiences of disabled students. Complete methodological detailscan be found in (Figard et al., 2023).Research Design The primary data sources for our study are ten semi-structured interviews with disabledengineering students. These interviews were conducted at a single site by the first author in Fall2022. Interview transcripts were analyzed in two rounds by using thematic analysis with acritical lens. Open coding was used during
University, 1988.[8] F. A. Huppert, “Psychological Well-being: Evidence Regarding its Causes and Consequences,” Appl Psychol Health Well Being, vol. 1, no. 2, pp. 137–164, Jul. 2009, doi: 10.1111/j.1758-0854.2009.01008.x.[9] World Health Organization, Atlas: child and adolescent mental health resources: global concerns, implications for the future. Geneva: World Health Organization, 2005.[10] Clarke A et al., Warwick-Edinburgh Mental Well-being Scale (WEMWBS) acceptability and validation in English and Scottish secondary school students (The WAVES Project). Glasgow: NHS Health Scotland, 2010.[11] F. A. Huppert, N. Baylis, and B. Keverne, “Introduction: why do we need a science of well–being?,” Philos
- 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
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
]). By going "over 4," Sandra was unable to land on the y-axis, and could not find the y-intercept. Figure 6. Sandra's boardwork while working the two-poinThis research project began initially from interest in streamlining the grading process for largeclasses by developing a method by which a computer could automate grading of hand drawn Though Sandra’s difficulty actually began in Line 3,graphs. The difficulty in the design was that hand drawn graphs are symbolic and communicativerather than precise. Hand drawn graphs are sketches based on the cultural expectations ofstudents and teacher. We were concerned that the more obvious quantitative methods such as “over 4 and up 3”, her entire difficulty
independent course as a prerequisite to the second Introduction to Engineeringcourse. As shown in Figure 6, along with Introduction to Engineering 1 (just Introduction toEngineering in this case), students must take the Engineering Graphics course in their first term.Peculiarly, the Engineering Graphics course has a Calculus 1 corequisite as well. The sequencecontinues with the equivalent of Introduction to Engineering 2 (Introduction to EngineeringDesign here), which is followed by another design course with project management embeddedwithin the offering. This is one example of our dataset's more complicated introductoryengineering course prerequisite chains, which has an overall structural complexity of 21. Notethat removing the potentially
test. If students obtained a higher grade on these “second chance” questions, the gradewould be averaged with the previous test’s results. In this study we only report the raw gradeswith no points back. For this trial, we also conducted a survey on student attitudes towards teststructure and test-related anxiety. It is important to note that the third exam was issued afterstudents were given a very accurate estimate of their projected grades. This caused a change intheir strategy for answering the test, where students who knew they were going to comfortablypass the course took future assessments less seriously. We call this the S/U-effect and discuss it inthe next sections.Question design for Algorithms: For the Algorithms course, questions
. Before embarking on my doctoral journey, I worked as a science teacher and research assistant for several years. I made the decision to leave my teaching position to pursue a doctoral education, and I am currently serving as a research and teaching assistant for a STEM education course in my department. My research interests primarily lie in the fields of STEM education, quantitative methods, psychometrics, and large-scale data analysis. At present, I am actively engaged in a project focused on mentoring relationships between Ph.D. students and their advisors.Dr. Hsien-Yuan Hsu, University of Massachusetts, Lowell Dr. Hsien-Yuan Hsu is an Assistant Professor in Research and Evaluation in the College of Education at
that should be noted. Specifically, one student mentioned thedifficulty of organizing peers together for group collaboration and working on projects. Manyonline students are non-traditional students, meaning they have full-time jobs, are married, havechildren, etc. Interacting with peers in online classes is crucial. However, for non-traditionalstudents', time is an important factor as they need to manage both their personal and professionallife. “Most of the posts they are not live. You're not real time, so you have to wait for a response and. I think if we can have a real time. This I mean discussions that allow you to have a real time communication. I think that'll be better. Because then you have to wait until they
instrumental case studies “The multicase project is a research design for closely examining several cases linked together” (p. v) Yin [8] A multiple-case study occurs when a study may contain more than a single-case.Multiple case studies offer a valuable variation of the traditional case study methodology,allowing researchers to gather data from several cases and conduct comparative analyses toexplore variability across different contexts (Table 2). The advantage of utilizing multiple casestudy is that the greater number of cases examined and the greater diversity among them, themore compelling an interpretation is likely to be [17]. According to Yin [8], there are twoprimary types of multiple case
Paper ID #43787Bridging the Gap: The Impact of Social Media on Modern Engineering Education—ASystematic Literature ReviewMs. Arianna Gabriella Tobias, University of Oklahoma Arianna Tobias is a sophomore Computer Science major at the University of Oklahoma, where she is deeply engaged in undergraduate research. With a strong passion for advancing her field, Arianna focuses on projects that combine her technical skills with real-world applications. Her academic pursuits and commitment to her studies make her an emerging academic in the realm of computer science and engineering education.Dr. Javeed Kittur, University of
. Doubting of actions (DA) is another prevalent feeling among engineeringstudents regarding the sufficiency of their projects and their level of satisfaction. The next sectionwill explore the limitations of current scales within the engineering domain.6 Limitations of Current Perfectionism Scales for Engineering StudentsExisting perfectionism scales, which are commonly employed to assess perfectionism, often focuson broad populations, and their dimensions are extensively used (such as [10], [14], [36]). First,none of the existing scales directly focuses on measuring perfectionism among undergraduateengineering students. Secondly, currently, there is no currently existing scale capable of measuringthe dimensionality of perfectionism
. 35. , Cham: Springer International Publishing, 2020, pp. 277–349. doi: 10.1007/978-3-030-31365-4_4.[12] E. M. Holcombe, A. J. Kezar, N. Ueda, and D. Vigil, “Shared equity leadership: Working collectively to change campus cultures,” Journal of Diversity in Higher Education, Dec. 2023, doi: 10.1037/dhe0000536.[13] G. P. King, T. Russo-Tait, and T. C. Andrews, “Evading race: STEM faculty struggle to acknowledge racialized classroom events,” LSE, vol. 22, no. 1, p. ar14, Mar. 2023, doi: 10.1187/cbe.22-06-0104.[14] H. N. McCambly, “Rising tides don’t create racialized change: Analyzing institutional change projects in postsecondary philanthropy’s college completion agenda,” The Journal of Higher Education, vol. 95, no. 4, pp
“happy” for seven subgroups and“relieved” for six. “Happy” was further correlated with “confident” and “relieved” for eightsubgroups each. With the negative beliefs, “incompetent” was correlated with “helpless,”“ashamed,” and “defeated,” each in eight out of the 11 subgroups, while “defeated” and“ashamed” were also correlated with each other in eight subgroups. While statistical overlap wasthe starting point of discussion, the majority of experiential belief items were ultimately cutbased on the stated goal of this project: to produce a shorter, intervention-driven version of theinstrument. As experiential beliefs are based in emotional responses to the idea of seeking help,they are more vague and less actionable as key intervention targets
looking at how mastery learning shifts instructors’ beliefs about teaching practices and assessments.Sharona Krinsky, California State University, Los Angeles Sharona Krinsky is an instructor and course coordinator in the Mathematics department at California State University, Los Angeles and the co-PI of the NSF funded project ”Commitment to Learning Instilled by a Mastery-Based Undergraduate Program (CLIMB-UP). She works with faculty on redesigning courses to utilize the principles of mastery-based grading in order to enhance student success and enable increased equity, inclusion, and access to careers in STEM fields for students from historically underrepresented groups. Sharona is a founding organizer of ”The