inquiring what thementee’s needs are) [18]. Mentors can also conduct a needs assessment to be aware of goals andappropriately support their mentee; this structure is especially supportive for women in STEM[2].It is important to note that although data collection occurred before and during the COVID-19pandemic (i.e., 2019 and 2021), no relevant categories emerged regarding the specific impact ofthe pandemic. There were individual significant statements that related to the COVID-19pandemic (such as working remotely during the pandemic hindered or supported communication,grouped under responsiveness). The lack of emergent overarching groups/themes may bebecause the protocol was not designed with the COVID-19 pandemic in mind.When considering the
undergraduate students perceive industrial partnershipsin engineering capstone courses?MethodologyContext of studyThe study was conducted on students enrolled in a third-year capstone engineering coursefocusing on industrial design at a university. At the start of the course, the students wererandomly grouped into teams of 6 – 7 and tasked to solve a problem provided by a company. Theproblem statements were randomly assigned. Each team was guided by an industry mentor and afaculty member for the duration of 13 weeks as they tackled the problem statement. The teamsmet both faculty and industry mentors weekly to gather feedback on their projects. At the end ofthe course, the teams were assessed by both supervisors.Participants and Data CollectionWe used
Associate Professor in the Department of Mechanical and Biomedical Engineering at Boise State University (Boise, Idaho). He was the Director for the Industrial Assessment Center at Boise State University. He served as the Faculty in Residence for the Engineering and Innovation Living Learning Community (2014 - 2021). He was the inaugural Faculty Associate for Mobile Learning and the Faculty Associate for Accessibility and Universal Design for Learning. He was the recipient of the ©American Society for Engineering Education, 2024 Paper ID #44083 Foundation Excellence Award, David S. Taylor Service to
the community. In her interview, Marissa also talked about how to use the snake jawto connect to NGSS. Regarding one particular standard, she shared that “one standard is all aboutthe body systems and how they work together. And so I was taking a look at the specifics and theboundaries of that assessment. So it specifically says it’s limited to the circulatory, expiratory,digestive, respiratory, muscular, and nervous systems. And in that, I could see talking about themuscles, I can see talking about the nervous system, skeletal, digestive, and even respiratory.Because even though you are thinking about how they are consuming, you can talk about how dothey breathe with this giant bolus in their throat. So, I am already working on a program
their findings to their peersand a panel of judges using a rubric based on one used for regional science fair competitions. TheBioengineering 101 module has been performed four times from 2019-2023 at the same highschool; however, the design and implementation of the module significantly evolved due to studentfeedback, faculty observations, and the COVID-19 pandemic. The evolution of how the modulewas implemented included changes in the age of the students (first year vs. third year students),the duration of the modules (two weeks vs. four weeks), and how the chemical engineering facultymember was able to directly engage with the students (in-person, virtually, or asynchronously).Assessment of the program through pre- and post-surveys found
Director for the Industrial Assessment Center at Boise State University. He served as the Faculty in Residence for the Engineering and Innovation Living Learning Community (2014 - 2021). He was the inaugural Faculty Associate for Mobile Learning and the Faculty Associate for Accessibility and Universal Design for Learning. He was the recipient of the Foundation Excellence Award, David S. Taylor Service to Students Award and Golden Apple Award from Boise State University. He was also the recipient of 2023 National Outstanding Teacher Award, ASEE PNW Outstanding Teaching Award, ASEE Mechanical Engineering division’s Outstanding New Educator Award and several course design awards. He serves as the campus representative and
.” Accessed: Mar. 26, 2024. [Online]. Available: https://dl.acm.org/doi/abs/10.1145/3610978.3640574[7] S. Dutta, T. Banerjee, N. D. Roy, and B. Chowdhury, “Development of a BCI-Based Application Using EEG to Assess Attentional Control,” in Proceedings of the Global AI Congress 2019, J. K. Mandal and S. Mukhopadhyay, Eds., in Advances in Intelligent Systems and Computing. Singapore: Springer, 2020, pp. 659–670. doi: 10.1007/978-981-15-2188- 1_52.[8] E. H. Houssein, A. Hammad, and A. A. Ali, “Human emotion recognition from EEG-based brain–computer interface using machine learning: a comprehensive review,” Neural Comput & Applic, vol. 34, no. 15, pp. 12527–12557, Aug. 2022, doi
Spanish embeddings, each trained onmedical corpora, and subsequently merge them into a unified vector space via space transforma-tion. In our study, we demonstrate that singular value decomposition (SVD) can be used to learn alinear transformation (a matrix), which aligns monolingual vectors from two languages in a singlemeta-embedding. As an example, we assessed the similarity between the words “cat” and “gato”both before and after alignment, utilizing the cosine similarity metric. Prior to alignment, thesewords exhibited a similarity score of 0.52, whereas after alignment, the similarity score increasedto 0.64. This example illustrates that aligning the word vectors in a meta-embedding enhances thesimilarity between these words, which share the
identify potential users, wesurveyed first-year undergraduate engineering students to capture their intention to participate inacademic makerspaces. This study reports on work done as part of a larger study that follows thepaths of first-year students at two academic institutions, tracking their participation andperceptions of makerspaces over four years. Quantitative data were collected from two onlinesurveys that were distributed at the beginning of the Fall 2022 semester and the end of theWinter/Spring 2023 semester. Each survey took approximately 10 minutes to complete andconsisted of a series of Likert-type and single-selection questions about theirattitudes/motivations toward makerspaces and psychosocial assessments of their
Paper ID #41694Board 13: Work in Progress: Exploring Student Disposition in a FoundationalConservation Principles of Bioengineering CourseDr. Jennifer R Amos, University of Illinois Urbana-Champaign Dr Jenny Amos is a Teaching Professor in Bioengineering at the University of Illinois Urbana-Champaign. She is an AIMBE Fellow, BMES Fellow, ABET Commissioner and Executive Committee Member, two-time Fulbright Specialist in engineering education. Amos has over a decade’s worth of experience leading curriculum reform implementing robust assessment strategies at multiple institutions.Yael Gertner, University of Illinois Urbana
. “Lessons learned: authenticity, interdisciplinarity, and mentoring for STEM learning environments,” International Journal of Education in Mathematics, Science and Technology. vol.4, no.1, pp. 30-43, 2016. [21] X. Peng, P. McGary, M. Johnson, B. Yalvac, and Ozturk, E. “Assessing novice CAD model creation and alteration,” Computer-Aided Design and Applications, PACE (2), pp. 9-19, 2012. [22] W. Zhan, B. Hur, Y. Wang, S. Cui, and B. Yalvac, “Creating maker culture in an engineering technology program,” International Journal of Engineering Education, vol.37, no.3, pp. 712-720, 2021. [23] M. C. Ayar and B. Yalvac, “An ethnographic study of an engineering community: Mentoring
Electromagnetics and Waves. Pearson, 2014.[9] S. Nikolic, C. Ritz, P. J. Vial, M. Ros and D. Stirling, "Decoding Student Satisfaction: How to Manage and Improve the Laboratory Experience," in IEEE Transactions on Education, vol. 58, no. 3, pp. 151-158, Aug. 2015, doi: 10.1109/TE.2014.2346474.[10] D. Holtzhower & R. Mosier. (2019). A Survey of Undergraduate Students Utilizing an Interdisciplinary Laboratory Building. 10.18260/1-2--32004.[11] S. Lal, et al. “The Effects of Remote Laboratory Implementation on Freshman Engineering Students' Experience.” 2018 ASEE Annual Conference & Exposition Proceedings n. pag. Web.[12] S.T. Ghanat et al. “Assessing the Influence of Lecture/Laboratory Instructor Pairings on Student Perception
do note from Tables 3 and 5 that the 2022–23 Success Rates (Hispanic/Latinx) inPrecalculus has dropped by about 9-percentage points compared to the 2017–19 baseline data(all URM), while those for Chemistry, Calculus and Physics did not see such a decrease. Thereduced success may be partly a result of the impacts of COVID, but we have not looked deeplyinto this data.In discussing these findings, the alliance members found significant variations in implementingthe ETs. We are in effect comparing apples to oranges (and variations in between). C6-LSAMPis thus considering what may be a more effective approach to quantitatively assessing the impactof ETs. Instead of being discouraged, the data catalyzed a new conversation about what makesETs
minority groups (URMs) to share their professional experiences in classes. 4. Facilitate computing experiences that deliberately build from course to course, by having instructors coordinate curriculum to have explicit linkage. 5. Encourage instructors to develop projects that are design- and team- based. Include training for instructors on DEI-related aspects, such as how to not strand URMs or women on teams, and deal with micro-aggressions between teammates. Year 2 (2024) Goals: 1. Create a system of incentives and assessments for introducing active learning, flipped classroom approaches, and continual improvement to pedagogy to realize our design-based learning aspirations. 2. Encourage a “See it, Be it” strategy
which help relate how students experience identity now totheir hopes and fears for the future. Transcripts will be analyzed both deductively and inductively[27]; deductive methods help us identify the elements from our theoretical frameworks that arepresent in students’ accounts while inductive methods help us uncover emergent themes andconnections across themes to construct rich narratives regarding the intersections of LGBTQidentities and STEM disciplines [28].Trustworthiness and limitations Trustworthiness is the standard by which qualitative research is assessed for quality [25],and to achieve trustworthiness, we take steps to ensure the credibility, consistency, andtransferability of our findings [29]. Credibility refers to the
, contemporaryML algorithms can help optimize process parameters, examine powder spreading, and conductin-process defect monitoring. In process, AI can assist manufacturers in premanufacturingplanning, and product quality assessment and control. AI algorithms are being employed tooptimize various aspects of metal AM processes, such as parameter optimization, defectdetection, and material characterization. Lui et al [10] presented a collaborative datamanagement framework for metal AM, where a cloud application as the core of the frameworkcommunicates with distributed sub-frameworks of the different product lifecycle stages. Theysuggested a unique collaborative data management architecture based on DT support for metaladditive systems. This architecture
and risk assessment, incident scenarios, hazards and operability studies, and layers of protection analysis.SummaryIn this proceedings paper, we have reanalyzed survey data to show that more institutions thatrequire SAChE modules expect higher comprehension levels of process safety and managementof risk outcomes than institutions that do not require any modules. We have provided advice forteaching process safety that was collected during the panel discussion at the AIChE AnnualMeeting. We have listed some additional resources for teaching process safety. We hope that theinformation here is useful for process safety instructors and chemical engineering departments.References[1] L. Ford, C. Barr, J. Brennan, T. Carter, K. Dahm, H. Flodman
assessment opportunities.IntroductionThere is an increasing focus on student success across higher educational institutions,particularly in North America. This has resulted in numerous student success initiatives that spancurricular, co-curricular, and student life. Our university, like many other public institutions ofhigher education, has strong campus-level student success programs and initiatives that haveresulted in documented success such as increased rates of minority student graduation [1]. Oneof the key initiatives that has transformed the student success culture at our institution has beenthe William H Thompson Scholars Program designed to support students from lowsocioeconomic backgrounds [2]. This program has been in place across three
size data and could make the study dependable and furtherconclusive. Another important limitation could be the students’ negative responses toindependent study strategies. Student resistance to independent study, including reasons for thisopposition and strategies to prevent or respond to it was not considered. Recognizing factors -that lead to students’ resistance to independent study- is important to mitigating these barriers toacceptance and learning. The study is in progress and the authors are planning to broaden thestudy to include multiple disciplines (engineering and non-engineering) through a universitywide survey in the future.Summary and ConclusionsIn this paper, an effort was made to assess the perceptions and attitudes of students
; 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 preparation and professional development. Her 20+ publications include articles that appear in journals such as International Journal of Science and Mathematics Education, Journal of Social Studies Research, School Science and Mathematics, and Mathematics Teacher. She served as the Program Chair of the Special
signing off the submission via an Engineering Change Order (ECO). Theintroduction of such processes is embedded into traditional teaching concepts, such asassignment rework and regrading. Grading and feedback are initially provided via the PDMsystem, and later reflected in the Learning Management System to ensure a cyclic informationflow process is achieved.A midterm and final lab practical were implemented as additional assessment mechanisms. Theyare modeled after an industry CAD system competency certification, where students are given afully dimensioned drawing of a mechanical part and a set of parameters and are then asked tocreate the 3D model of the part within a predefined time limit. Throughout the practical, studentsmust apply a series
status regarding prerequisite courses. Questions dealt with 1) PrerequisiteCourses and their Readiness, 2) Confidence levels before starting the course, and 3) Connectionsbetween formal experiences and Electromagnetics. Students participating in the surveyconfirmed that the formal math and physics courses are important to comprehend and learnElectromagnetics. However, the scores for applying formal math and physics knowledge to theElectromagnetics course, as well as confidence levels in using it, were relatively low. Anothersurvey assessed the usefulness of introducing fundamental math tools at the beginning of thecourse, indirectly addressing students' math challenges and needs. Fig 1. displays surveystatistics from Fall 2023 at LeTournea
. Crosby, and M. M. Stone, "Designing and Implementing Cross-Sector Collaborations: Needed and Challenging," Public Administration Review, vol. 75, no. 5, pp. 647- 663, 2015.[18] D. Wood, H. Marie, F. Aqlan, J. Brockman, D. Lapsley, and K. L. Meyers, "Building and Replicating a Community-Engaged Educational Ecosystem - a STEM Learning Commons," presented at the National Science Foundation Improving Stem Undergraduate Education Summit, Washington, D.C, June 1-3 2022, 2022.[19] J. Drennan and A. Hyde, "Controlling response shift bias: the use of the retrospective pre‐test design in the evaluation of a master's programme," Assessment & Evaluation in Higher Education, vol. 33, no. 6, pp. 699-709, 2008
information related to my local neighborhood (Flatbush) to understand policies that could be made/improved, as well as areas political parties might want to focus on (SNAP Program, Health Insurance, etc.). Initially, this project involved neighborhoods such as Borough Park and Crown Heights. Categories such as internet subscriptions/connections, racial and ethnic demographics, as well as housing information (renter/ownership). Predicting grade distributions with Rate My Professor reviews using Machine Learning so students can make better-informed decisions about what classes to take. Creating opensource tools to assess the Social Mobility and Career trajectories of the CUNY education. Creating virtual survey tools to better understand how students
Engineering Education,” J. Eng. Educ., vol. 103, no. 1, pp. 45–76, Jan. 2014, doi: 10.1002/jee.20038.[10] J. Wigdahl, G. L. Heileman, A. Slim, and C. T. Abdallah, “Curricular Efficiency: What Role Does It Play in Student Success?,” presented at the 2014 ASEE Annual Conference & Exposition, Jun. 2014, p. 24.344.1-24.344.12. Accessed: Jan. 20, 2023. [Online]. Available: https://peer.asee.org/curricular-efficiency-what-role-does-it-play-in-student-success[11] D. Torres, J. Crichigno, and C. Sanchez, “Assessing curriculum efficiency through Monte Carlo simulation,” J. Coll. Stud. Retent. Res. Theory Pract., vol. 22, no. 4, pp. 597–610, 2021.[12] D. Waller, “Organizational factors and engineering student persistence
medicine oDr. Ibukun Samuel Osunbunmi, Penn State University Ibukun Samuel Osunbunmi is an Assistant Research Professor, and Assessment and Instructional Specialist at Pennsylvania State University. He holds a Ph.D. degree in Engineering Education from Utah State University. Also, he has BSc and MSc degrees in mechanical engineering. His research interests include student engagement, design thinking, learning environment, evidence-based pedagogy, e-learning, broadening participation in STEM education, sustainable energy, and material characterization.Dr. Laura L. Pauley P.E., Penn State University Laura L. Pauley, Professor of Mechanical Engineering, joined the The Pennsylvania State University faculty in 1988. From
: Example EWB-USA student chapter projects. EWB-USA Gateway Professional Members of student and industry partnered to complete a Chapter partnered with EWB-USA construction project that diverts water under a roadway Southern Illinois University though a culvert system and built a bridge over a ravine Project Location: Pimienta, for both vehicles and pedestrians. Honduras EWB-USA University of Pittsburgh Students made three trips to the community to assess Student Chapter community needs before building the farm in planning Project Location: Makili, Mali and constructing a fish farm 2010. The farm has been a success, adding an additional source of protein to local
University of Louisville, Kentucky in 2008 and joined Tennessee Tech University in 2009 to pursue his Ph.D. in Electrical (Power) Engineering. He completed his graduate study in August 2013. He served as the WVU Tech IEEE student branch advisor between 2014 and 2018. He has been the IEEE West Virginia section chair/vice-chair since 2018. He served as Technical Committee Program Chair of the 49th North American Power Symposium (NAPS 2017) held in Morgantown, WV. He was a WVU IDEA (Innovation, Design, Entrepreneurship, Applied) Fellow and WVU TLC Faculty Associate for Assessment. He is currently a WVU Faculty Senator. He was a DoE visiting faculty member at Oak Ridge National Laboratory in the Summer of 2018 and 2019. He is
. Meyers, "Building and Replicating a Community-Engaged Educational Ecosystem - a STEM Learning Commons," presented at the National Science Foundation Improving Stem Undergraduate Education Summit, Washington, D.C, June 1-3 2022, 2022.[19] J. Drennan and A. Hyde, "Controlling response shift bias: the use of the retrospective pre‐test design in the evaluation of a master's programme," Assessment & Evaluation in Higher Education, vol. 33, no. 6, pp. 699-709, 2008.[20] L. G. Hill and D. L. Betz, "Revisiting the retrospective pretest," American Journal of Evaluation, vol. 26, no. 4, pp. 501-517, 2005.[21] G. A. Davis, "Using a Retrospective Pre-Post Questionnaire To Determine Program Impact," in
. Zheng, O. E. Atherton, K. Trzesniewski, and R. W. Robins, “Are self-esteem and aca- demic achievement reciprocally related? findings from a longitudinal study of mexican-origin youth,” Journal of personality, vol. 88, no. 6, pp. 1058–1074, 2020.[19] T. Wernbacher, A. Pfeiffer, M. Wagner, and J. Hofst¨atter, “Learning by playing: Can serious games be fun?” in European conference on games based learning. Academic Conferences International Limited, 2012, p. 533.[20] P. Black and D. Wiliam, “Inside the black box: Raising standards through classroom assess- ment,” Phi delta kappan, vol. 92, no. 1, pp. 81–90, 2010.[21] N. Michel, J. J. Cater III, and O. Varela, “Active versus passive teaching styles: An empirical study of