. Thissentiment points to a need for a cultural change in engineering education and workplaces, tobring public welfare and ethical considerations front and center.Specifically, within engineering education programs, there is a clear need to integrate ethics andpublic welfare considerations into the curriculum [9], [20], [21], [22]. This should include notonly theoretical discussions about ethics but practical case studies and real-life scenarios thatengineers may encounter in their professional lives. Additionally, departments should emphasizedevelopment of professional skills like communication, teamwork, and ethical decision-makingin their curricular assessments [13], [23], [24]. Most importantly, academic institutions need tofoster a culture where
concepts to interpersonal networks [6], allowing researchers to explore howinterpersonal connections form, evolve, and relate to outcomes of interest. Recognizing theintersection of interpersonal network importance, and the ability of SNA to study these networks,engineering education researchers have increasingly adopted SNA to identify and promotepositive interpersonal networks in engineering education.Throughout the relevant literature, engineering education research applying SNA to theundergraduate student context has demonstrated the importance of interpersonal connections forstudents’ academic performance and affective outcomes [7]-[10]. These studies not onlyquantitatively assess the importance of connections between individuals, but also
important for the medical degree,” Revista Clínica Española (English Edition), vol. 217, no. 6, pp. 332–335, Aug. 2017, doi: 10.1016/j.rceng.2017.03.002.[20] S. A. Batt-Rawden, M. S. Chisolm, B. Anton, and T. E. Flickinger, “Teaching Empathy to Medical Students: An Updated, Systematic Review,” Academic Medicine, vol. 88, no. 8, p. 1171, Aug. 2013, doi: 10.1097/ACM.0b013e318299f3e3.[21] Y. C. Zhou et al., “A systematic scoping review of approaches to teaching and assessing empathy in medicine,” BMC Medical Education, vol. 21, no. 1, p. 292, May 2021, doi: 10.1186/s12909-021-02697-6.[22] M. L. Manolakis, J. L. Olin, P. L. Thornton, C. R. Dolder, and C. Hanrahan, “A Module on Death and Dying to Develop Empathy in Student
associate professor and chair in the Department of Computer Science and Information Technology at the University of the District of Columbia. She joined UDC in May 2012 after receiving her Ph.D. in Computer Science from The URui Kang Rui Kang is Professor of Secondary Education (6-12) of Georgia College & State University (GCSU). She teaches graduate courses in numerous areas, including math pedagogy, assessment, educational research, and learner development. She holds two Ph.D. degrees, in Curriculum and Instruction from Texas A&M University (2007) and in Mathematics Education from the University of Georgia (2022). Her scholarship focuses on mathematics teaching and learning, STEM education, and teacher
established and regular checkpoints are set, thelearning coach sessions can be tailored to match students' needs to truly support them in thesituations they encounter as student engineers (Facilitator 2). These sessions need to adapt to“each student’s learning style and personality” (Facilitator 3, para. 1). Initial assessment as alearning coach is needed of students’ abilities and needs in different areas of their lives, such astime management, communication, academic progress, career development (e.g., interviewingtechniques, resumes, cover letters, etc.), open-ended problem-solving, job etiquette, personal lifematters, and more (Facilitators 1-5). Once a baseline is determined for these needs and abilities,learning coaches are able to work
technology sector are unfamiliar with hosting engineering andcomputer science majors from community colleges for internships. Many tech companies, after 9all, rely on “University Relations” staff to develop awareness for, and recruit to, their openundergraduate internship positions. As JFF concluded, many employers hosting communitycollege students for internships were unable to assess interns’ level of proficiency withtechnology in general, (Joy, 2022). In their study, JFF cited employers’ struggle to structurechallenge and rigor into the internship’s relatively short time frame. Additionally, they noted,community college students are generally diverse and
-DC buck converter power feedback control infrastructure with Arduino Uno and tested the capabilities of a hyperspectral camera for identifying small ordnances on a runway as a part of the United States Air Force’s Rapid Airfield Damage Assessment System (RADAS). As a part of USAFA SPARK Innovation Tank, Mr. Park is also a problem solver with experience in pitching ideas at Falcon Tank and Junction Asia Hackathon. Mr. Park hopes for the world that he will change with his ideas one day.John Ciezki, United States Air Force Academy ©American Society for Engineering Education, 2024 Power Electronic Feedback Control of a DC-DC Converter Using an Arduino Uno Junhyung
into three components of defining engineering problems,designing engineering solutions, and optimizing the design solution; yet it is not until grades9-12 that the standards insist that students should be assessing social and environmental impactsduring optimization of solutions [7]. Understanding the interdependence of engineering andsociety is only explored in a separate set of practices, in which language does not directly statethat engineering design can cause harm [7]. The omission of the developing engineeringsolutions surrounding reducing harm to people and the environment further supports claims thatharm reduction is considered an afterthought in engineering design [8], [9]. The Framework forP-12 Engineering Learning which intends to
their positions, howeverthey indicated that they were not assessed for the successful and thorough completion of thattraining. A few of the participants discussed challenges of working from home during COVID-19, missing out on the interactions with their colleagues and more importantly their supervisors.They also brought the lack of mentorship due to being away from the workplace. One of theparticipants relied on their mother to be their mentor, as she was a P.E. licensed engineer. As theparticipants brought up the ethical dilemmas they faced, most of them indicated that they did nothave any formal training on engineering ethics, and the courses they took in their universities (ifthere was one required for their degree) did not prepare them to
Paper ID #42140Predictors of Student Academic Success in an Upper-Level MicroelectronicCircuits CourseDr. Jacqueline Rohde, Georgia Institute of Technology Jacqueline (Jacki) Rohde is the Assessment Coordinator in the School of Electrical and Computer Engineering at Georgia Tech, where she guides program evaluation and discipline-based education research efforts. She earned her Ph.D. in Engineering Education Research from Purdue University. Her interests focus on sociocultural norms in engineering and the professional development of engineering students.Sai Paresh Karyekar, Georgia Institute of Technology Sai Paresh
participated in the program and their eligible peers. Weutilized independent samples t-tests to test for statistical significance between mean values forGPA and completed term hours across the groups.ResultsTo address RQ1, we performed a series of chi-square analyses to assess first-year retention datafor the 2021 and 2022 cohorts of engineering students at SW-PWI (see Figure 1). For the 2021cohort, we found that SW-PWI retained non-TU students at a significantly higher rate than TUstudents (𝜒2(1, N=207) =4.019, p=0.045), which aligns with broader trends related to academicpersistence gaps for traditionally underrepresented students in engineering [1]. After theimplementation of the PMP at SW-PWI, we found no significant difference between the first
understanding whichallows him to perform better on assessments. This all serves to stabilize his original belief. Bob’sunderstanding of knowledge as something that changes over time and through hard workencourages him to work through his struggles and gives him the ability to persist though whatwould be stress and frustration. His positive performance and competence let him acknowledgehimself as a person who is good at math, science, and engineering.Like Bob, Projector Man also believes that intelligence grows with time and work, but impliesthat competence can be changed while performance is more fixed or difficult to alter. In thespring he says, I personally struggle immensely with exams to the point to where in calculus, I had my
; Kapici et al., 2019; Muilwijk & Lazonder, 2023; Olympiou & Zacharia, 2012, 2014; Zacharia &Michael, 2016). Acquisition can then be assessed after the fact, typically, using a test. The study presentedhere utilizes a different orientation which frames learning as participation in valued disciplinary practices.This orientation follows the “practice turn” in the learning sciences (Forman, 2018; Passmore et al., 2014)and frames participation in engineering practices (such as analyzing data, developing and revisingexperiments, and breaking down open-ended problems) as the crux of engineering learning.The virtual laboratory investigated in this study was designed with such an orientation. The laboratorywas designed to target the
Innovation appointed following the Hampton Court Summit, January 2006; Innovation 2005, the Boston Consulting Group Establishing a Competitiveness and Innovation Framework Programme (2007-2013), Commission of the European Communities, June 4, 2005; The Innovation-Entrepreneurship Nexus: A National Assessment of Entrepreneurship and Regional Economic Growth and Development, Advanced Research Technologies, LLC, April 2005. Prepared for the U.S. Small Business Administration, Office of Advocacy Meeting America’s Economic and Security Challenges in the 21st Century, National Defense Education and Innovation Initiative, January 2006; American Competitiveness Initiative, Domestic Policy Council, Office of Science and
: Pennsylvania State University, National Center on Postsecondary Teaching, Learning, and Assessment.25. Smith, B., & MacGregor, J. (2009). Learning Communities and the Quest for Quality, Quality Assurance in Education: An International Perspective, 17(2), 118-139.26. Barnes, R., & Piland, W. (2010). Impact of Learning Communities in Developmental English on Community College Student Retention and Persistence, Journal of College Student Retention: Research, Theory & Practice, 12(1), 7-24.27. Weiss, M., Visher, M., & Wathington, H. (2010). Learning Communities for Students in Developmental Reading: An Impact Study at Hillsborough Community College, National Center for Postsecondary Research. Teachers College, Columbia
to assess the potential for all-electric and hybrid-electric aircraft. During the course of Step 3 evaluation it was realized that the Electric Lancair-IV NYP mission is not possible under current technology projections; thus, the shorter range Route 66 has been selected as the baseline mission instead.The following sections will discuss the case studies, results, and more detailed lessons learned ona mission-by-mission basis. 1 Ryan NYP 2 Lancair IV 3 Modern NYP Electric NYPFigure 7. Overview of GA Aircraft Design SequenceStep 1 – Ryan NYPAlthough the Ryan NYP was not a
profile, high-risk occasion. Test the story in advance on a variety of similar audiences, so that you know exactly the effect that the story will have. 5. When using the knowledge contained in the stories of others to support your own decisions, consider how you will balance that anecdotal knowledge with evidence-based knowledge: how will you assess and integrate the knowledge from stories? 6. We are all storytellers and spend much of our lives telling stories whether we realise it or not. However we can all get better at storytelling, particularly at using stories to achieve specific effects. Understanding how and why storytelling works
Impact of Bio-Char on Carbon Dioxide in the Atmosphere Nicholas C. Vanderslice and Thomas R. Marrero Department of Chemical Engineering University of Missouri Columbia, Missouri 65211AbstractA review. A study of Terra Preta do Indio and bio-char was conducted to determine the technicalfeasibility of their use in sequestering atmospheric carbon dioxide as a summer undergraduateproject for Dr. Tom R. Marrero. Properties of new and old Terra Preta were used. Literature ofthe last 40 years, including the electronic database SciFinder, was used. The educationalcomponent of this project included an assessment of
they were in the same room as theinstructor. Since creating a classroom community was a major goal of NUVIEW from theoutset, the authors feel phase I was a success and look forward to moving into phase II of theresearch. Bibliography1. Casey, D. M. (2008). A journey to legitimacy: The historical development of distance education through technology. TechTrends, 52(2), 45-51.2. Madden, M. E., Carli, L. (1981). Students satisfaction with graduate school and attributions of control and responsibility. Paper presented at the Annual Meeting of the Eastern Psychological Association.3. Powers, S. & Rossman, M. (1985) Student satisfaction with graduate education: Dimensionality and assessment in college education. Psychology
sessionsC. Data collectionThe data of the single case study were collected over the period of a year and drew from tworelated but different projects. In the first project, the installation of a large steel mill was nearlycomplete, though fine-tuning, troubleshooting, and assessment questions were in the foreground.The second project started within the second month of the year and was focused on early-stageconstraints, design issues, and goals.During the first meetings the researcher asked the engineer to describe in as much detail aspossible what he knows about the two projects, including goals, constraints, foreseeableproblems, and possible solutions. In the remainder of the interviews, the engineer was asked toexplain and walk the researcher
-Resource Languages’, in Gendered Technology in Translation and Interpreting Centering Rights in the Development of Language Technology, Routledge, 2024.[31] E. Vanmassenhove, ‘Gender Bias in Machine Translation and The Era of Large Language Models’, in Gendered Technology in Translation and Interpreting Centering Rights in the Development of Language Technology, Routledge, 2024 [Online]. http://arxiv.org/abs/2401.10016.[32] J. J. Hanna et al., ‘Assessing Racial and Ethnic Bias in Text Generation for Healthcare-Related Tasks by ChatGPT1’, medRxiv, p. 2023.08.28.23294730, Aug. 2023 [Online]. Available: 10.1101/2023.08.28.23294730.[33] W. Li et al., ‘A Comparative Study on Discrimination Issues in Large Language Models’, J
pursuing higher education, we suggest faculty implement intentional reflection dur-ing and after team projects. This will allow students to recognize strengths and weaknesses oftheir team and also positively reframe and contextualize their experiences to be better preparedfor the future. This reflection can also help students learn more about their ideal working environ-ments and preferred tasks within a certain engineering field. Additionally, based on the experiences of multiple participants, it is beneficial to include in-dividual performance assessments or evaluations to help the professor understand teams’ dynam-ics. This would ultimately allow for intervention where necessary to foster better teammates andgroup attitudes. If a student
improve the quality and efficiency of healthcare delivery, aswell as enable personalized medicine and disease prevention. For instance, Data Science can help diagnosediseases [5], predict outcomes [6], and recommend treatments based on patient data [7, 8]. The use of bigdata and analytics in healthcare could save up to $100 billion annually in the US [9].In education, Data Science can enhance the learning experience [10] and outcomes for students andeducators [11, 12], as well as provide insights into the effectiveness of educational policies and programs[13, 14]. Furthermore, Data Science can help design adaptive learning systems, assess studentperformance, and identify learning gaps [15, 16]. e-Learning is predicted to reach over $300 billion by
. Treadway, K. Tubbs, M. Caserto, M. Lee, and J. Swenson, “Assessment of a Survey Instrument for Measuring Affective Pathways,” in 2023 ASEE Annual Conference & Exposition Proceedings, Baltimore: ASEE, 2023, p. 42328. doi: 10.18260/1-2--42328.[17] J. Swenson, E. Treadway, and K. Beranger, “Engineering students’ epistemic affect and meta-affect in solving ill-defined problems,” J. Eng. Educ., vol. 113, no. 2, pp. 280–307,Apr. 2024, doi: 10.1002/jee.20579.
–22, 1996.[3] J. Engle, “Postsecondary access and success for first-generation college students,” in American Academic, vol. 3, 1 vols., 2007, pp. 25–48.[4] D. C. York-Anderson and S. L. Bowman, “Assessing the college knowledge of first- generation and second-generation college students,” J. Coll. Stud. Dev., vol. 32, no. 2, pp. 116–122.[5] P. Terenzini et al., “The transition to college: Diverse students, diverse stories,” Res. High. Educ., vol. 30, pp. 301–315, 1994.[6] N. M. Stephens, S. A. Fryberg, H. R. Markus, C. S. Johnson, and R. Covarrubias, “Unseen disadvantage: How American universities’ focus on independence undermines the academic performance of first-generation college students,” J. Pers. Soc. Psychol., vol
., “Assessing the Value of Team Science,” Am. J. Prev. Med., vol. 42, no. 2, pp. 157–163, Feb. 2012, doi: 10.1016/j.amepre.2011.10.011.[6] C. Pohl and G. Hirsch Hadorn, Principles for Designing Transdisciplinary Research. 2007. doi: 10.14512/9783962388638.[7] M. R. Salazar, T. K. Lant, S. M. Fiore, and E. Salas, “Facilitating Innovation in Diverse Science Teams Through Integrative Capacity,” Small Group Res., vol. 43, no. 5, pp. 527– 558, 2012, doi: 10.1177/1046496412453622.[8] National Research Council, Enhancing the Effectiveness of Team Science. Washington, D.C.: National Academies Press, 2015, p. 19007. doi: 10.17226/19007.[9] K. L. Hall, A. L. Vogel, and R. T. Croyle, Strategies for Team Science Success Handbook of Evidence-Based
(SQ8), communication skills (SQ9), and problem-solving skills (SQ10).Through questions SQ11 to SQ16, we collected data about students’ comfort level with speakingup in the classroom and their perception of being respected, recognized, and listened to. Thesequestions are relevant in determining whether students overall feel supported and included by theinstructor. SQ17 was designed to examine the accessibility to technology for students tocomplete their assignments and coursework.2.1.1 Assessment MethodFor all undergraduate students responding to the survey, demographic information, includingwhether they are first-generation college students or not, was extracted from our institutionalresearch data. The survey also includes other DEI aspects
the one hand, schools may consider that STEAM education leads to students'innovative thinking and contributing to society's workforce development goals. On the other hand,STEAM education can be focused on creativity, self-expression, and empathy, which can lead to self-realization and fulfillment. Currently, K-12 settings are the primary users of this framework, shaping thecurricular activities, exploring new ways to integrate these five disciplines, and researching the content,pedagogy, and assessment related to this field. However, at undergraduate or graduate levels, thisframework has been little explored. This research seeks to understand faculty members’ perception as afactor that may prevent the extensive use of STEAM education by