conduct project work. To broaden theapplicability of the exercises they are based on the Python programming language. The initialdeployment environment for the advanced IoT toolkit and accompanying exercises will be incapstone senior design courses. Surveys are planned to collect information to be used inassessing the efficacy of the IoT toolkits and exercises.Acknowledgement and DisclaimerThis material is based upon work supported by the National Science Foundation through GrantNo. 2044255. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation.References[1] N. E. Cagiltay, E. Aydin, C. C. Aydin, A. Kara and M
analysis and decision-making processes. In the realm of design, he has actively engaged in product design and computer-aided design projects, including participation in the Shell Eco-Marathon. Each of these areas reflects Rackan’s versatility and dedication to mastering diverse aspects of modern engineering.Osama Desouky, Texas A&M University at Qatar Osama Desouky is a Technical Laboratory coordinator at Texas A&M University in Qatar. Osama is currently pursuing his Ph.D. in interdisciplinary engineering from Texas A&M University at College Station. He is responsible for assisting with experimental method courses, 3D printing, mechanics of materials, material science, senior design projects, and advanced
way.Although there is no official data publicly available for comparison, given that we know manyengineering graduates do not become licensed, and even at four years post graduation onlyaround 45 percent of graduates become licensed [6], our sample consisting of 88 percent licensedProfessional Engineers was a large overrepresentation of this group; this suggests our samplewas likely missing those who have exited engineering completely. These characteristics of oursample are all considerations to keep in mind as readers reflect on our findings below.Table 1.Sample Comparison with 2021 Canadian Census Data Engineering Graduates
, Stanford University Helen L. Chen is a Research Scientist in the Designing Education Lab in Mechanical Engineering and co-founder of the Integrative Learning Portfolio Lab in Career Education at Stanford University. She earned her undergraduate degree from UCLA and her PhD in Communication with a minor in Psychology from Stanford. Her scholarship is focused on engineering and entrepreneurship education, portfolio pedagogy, reflective practices, non-degree credentials, and reimagining how learners represent themselves through their professional online presence.Prof. George Toye Ph.D., P.E., is adjunct professor in Mechanical Engineering at Stanford University. While engaged in teaching project based engineering
51 percent of students from Westlake High School, located in a more affluent area, endedup attending a major university in Texas, where those not included either did not opt into collegereporting, went out of state, or chose not to attend. In contrast, 24 percent of students fromEastside High School, a designated Title I school in the same region, fit into this metric [1]. Ingeneral, most Title I schools have a significantly lower proportion of students who pursue highereducation for various reasons, including insufficient resources, socioeconomic factors, and a lackof exposure to the college process. Reflecting this, a Post-Secondary Executive Summarypublished by Austin Independent School District found that students who submit at least
sustainability are integrated into campus initiatives. 3.8 0.7 0.18 Average 3.8 0.43 0.11When respondents were asked about implementing innovative solutions to environmentalchallenges, they perceived the campus as not very innovative in this regard. The average score of3.8, with a variance of 0.16 and a CV of 0.04, reflects agreement on this sentiment. Similarly, theyfeel the same way about incorporating regional priorities regarding sustainability into campusinitiatives.Moreover, regional priorities were determined based on their regional importance, as identified bythe USGBC regional councils and chapters, and were then shared with the
foster a sense of belonging withintheir chosen disciplines and the wider academic community [1-3]. Empirical studies byHanauer [4], Kaufman et al. [5], and Whitcomb et al. [6] have established that strong self-efficacy and a profound sense of belonging significantly enhance students' persistence in theirchosen career trajectories. This relationship is especially evident in Science, Technology,Engineering, and Mathematics (STEM), where a heightened sense of belonging and elevatedself-efficacy are linked to superior academic achievements [7-8].Educators play a pivotal role in this dynamic, employing student-centered pedagogicalapproaches that include group work, reflective exercises, peer discussions, and constructivefeedback. These methods, as
solution to a Dynamics questionReferences[1] B. Memarian and T. Doleck, “ChatGPT in education: Methods, potentials and limitations,”Computers in Human Behavior: Artificial Humans, vol. 1, no. 2, p. 100022, Oct. 2023,doi: https://doi.org/10.1016/j.chbah.2023.100022.[2] E. L. Hill-Yardin, M. R. Hutchinson, R. Laycock, and S. J. Spencer, “A Chat(GPT) about thefuture of scientific publishing,” Brain, Behavior, and Immunity, vol. 110, Mar. 2023,doi: https://doi.org/10.1016/j.bbi.2023.02.022.[3] H. Yu, “Reflection on whether Chat GPT should be banned by academia from the perspectiveof education and teaching,” Frontiers in Psychology, vol. 14, p. 1181712, 2023.doi: https://doi.org/10.3389/fpsyg.2023.1181712[4] J. Qadir, “Engineering Education in the Era
. This lab is equipped with cutting-edge technology, including the Gigabot3+ Material Extrusion 3D printer, Raise3D E2, Sovol 3D printer, Einscan Pro 3D scanner forreverse engineering, FLIR thermal imaging camera, and other relevant equipment and tools asshown in figure 2. This lab offers students a conducive environment to work on materialsextrusion and materials jetting based AM and prototyping. Students gain practical experience indesigning, creating, and analyzing components using extrusion-based AM techniques by activeengagement in the semester projects and research. The establishment of this lab was madepossible through support from state and federal research grants, reflecting a commitment toadvancing STEM education and research at the
to create a video presentation knowledge that explains the objective of the project, the proposed solution, and an analysis of the results. Think critically The video should include a comparative and critical analysis of the and reflectively expected results with the theoretical model and the experimental results obtained. Demonstrate Furthermore, the project must be related to the application of physicalEngineering skills concepts in engineering problems.In the laboratory classes, the students were divided into teams of four members. Each teamhad the opportunity to choose a scientific
themeasurement data were collected, they were asked to conduct related analysis and answerquestions designed to reflect their understanding of the concepts and the ability to draw meaningfulconclusions. This new lab experiment also fulfills one of the seven ABET learning outcomeassessment requirements.Before this new student-designed lab experiment on specific heat, a FE type quiz was given to thestudents during the lecture time. After the new lab experiment, the students were tested again witha similar quiz to gauge the improvement on their learning. Another survey question was also givenbefore and after the new lab experiment to assess their understanding of the concept from thestudents’ perspective.The before and after quiz results showed 20
. Here, faculty were able to analyze the data and beginidentifying where change would be most needed, impactful, and practical.Faculty had the chance to meet internally with a trained learning community facilitator toanalyze and reflect on their own program’s data. After faculty were able to analyze their ownstudent performance and curricular complexity data, faculty had the opportunity to meet indiscipline-specific groups. For example, all participating mechanical engineering faculty at eachuniversity met to share their data and how they made sense of the data.The faculty will continue meeting internally and in discipline specific learning communities overthe course of a year. During this process faculty will be able to ask more clarifying
reflective standpoint of the author employed in a senior management position. The authorprovides insights and discussion involving practical experience.IntroductionThe precise definition of an international branch campus remains somewhat ambiguous and lacksuniversal agreement on a global scale. The term typically refers to an overseas extension of ahigher education institution, either wholly owned and operated by the institution itself, orestablished as a collaborative venture with international institution as a partner [1]. They mayoffer a range of academic programs, including undergraduate and graduate degrees, as well ascertificate programs, language courses, and short-term study abroad opportunities. It wasreported that in 2017 there were 263
score of zero. The lowervariability in scores also may reflect the quick decision-making required during real-time gradingof the exams, as opposed to more contemplative grading possible for a written exam. Differencesin grading between oral exams and transcripts of oral exams also was noted by Thomas andcoworkers [16].Role of Oral Exams in Environmental Engineering EducationWhen asked for their exam preference in engineering courses, respondents expressed apreference for written exams, although nearly one-third of respondents indicated they preferredan equal number of oral and written exams (All Written: 4.9%, Mostly Written/Some Oral:58.9%, Equal: 31.6%, Mostly Oral/Some Written: 4.3%, All Oral: 0.3%). These responsesindicate a desire on the
questions wasasked twice—once with the phrase “engineering person” and once with “science person.” Weinitially wanted to adapt these items for “person in my field,” but after expert review it wasdetermined that the items would not capture what we were hoping they would capture. Performance/competence reflects the extent to which students perceive their ownknowledge and abilities in engineering. This dimension comprises five items that capturestudents’ confidence in their understanding of engineering in class and out of class, that they cando well on exams, that they understand concepts in engineering, and that others ask them forhelp. These items were adapted from engineering to “my field” for greater applicability. Missing data were
. Her research focuses on individuals’ development from students to professional engineers. She is particularly interested in studying co-op/internship programs, experiential learning opportunities, professional skills development, and diverse student experiences in experiential learning settings.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
,having familiarity with search engines and open AI. This is reflected in the highest self-evaluation scores even before the lab session commenced. The lab strategically incorporateddatabases from the college library, highlighting their importance for finding peer-reviewedpublications and ensuring proper citation in reports. Most students observed an improvementin learning skills through lab practice, with only a couple having prior experience in search andcitation. Communication, Poster, & Data: Sophomore students already had experience aboutoral presentation, which includes poster presentation, data processing in the freshman year fromtheir intro to engineering course at Union college. Students feel they already come with a
studies to develop; 4) create more case studies; and 5) evaluate transfer oflearning by varying the sequence of operations in the case study.6. AcknowledgementsThis material was supported by the National Science Foundation’s Improving UndergraduateSTEM Education (IUSE) Program (award no. 2044449). Any opinions, findings, andconclusions or recommendations expressed in this material are those of the authors and do notnecessarily reflect the views of the National Science Foundation.References1. Hsieh, S. and Pedersen, S. “Design and evaluation of modules to teach PLC Interfacing Concepts,” Proceedings of the 2023 ASEE Annual Conference, June 25-28, 2023, Baltimore, MD.2. Hsi, S. and Agogino, A.M. “The impact and instructional benefit of using
reflect the views of the NationalScience Foundation.References1. K. G. Wolfinbarger, R. L. Shehab, D. A. Trytten, and S. E. Walden, "The influence of engineering competition team participation on students' leadership identity development," Journal of Engineering Education, vol. 110, no. 4, pp. 925-948, 2021.2. A. B. Hargadon, "Brokering knowledge: Linking learning and innovation," Research in Organizational Behavior, vol. 24, pp. 41-85, 2002. [Online]. Available: https://doi.org/10.1016/s0191-3085(02)24003-4.3. A. B. Hargadon, "Firms as knowledge brokers: Lessons in pursuing continuous innovation," California Management Review, vol. 40, no. 3, pp. 209-227, 1998. [Online]. Available: https://doi.org/10.2307/41165951.4. J. Saldaña, The
-boarding activities, researchexperience, mentor experience, program interactions, and reflect on the gains from programparticipation. This study did not include survey data on participants perceptions of the programdue to the limited number of participant responses. Based on the focus groups conducted,participants reported that this experience was highly valued and significantly increased theirmotivation for pursuing future research and careers. Participants also reported that the programallowed them to develop and refine their professional and research skills, enabling them to applyconcepts learned during their undergraduate studies to their research projects. Additionally,participants described faculty mentors as supportive, understanding, and
using worksheets and students were required to write theirwork into a bound notebook (3-ring binder, science notebook, or spiral bound). This handwrittenhomework approach was used to develop student’s ability to express their work clearly. Duringeach test, the notebooks were collected and scored. The instructor gave feedback on errors thatwere noticed and gave a score that reflected the student’s ability to communicate and execute thematerial. The scores did not impact the student’s course grade; however, if a student earned apassing score on all the notebook checks, then the final’s scaled percentage was able to replacethe lowest exam grade.Second Iteration (Winter 2022-2023)In the second quarter, two sections consisting of 62 students were
studies. Then, wewill delve into the discussion section, where we will interpret the results within the context ofexisting literature and theory. This section will also explore the practical implications of ourfindings for educational institutions. Finally, we will conclude by offering a reflective summaryof the significance of the study and its contributions to entrepreneurial education research.MethodologySurveyA Cronbach's Alpha of 0.890 was attained during the survey validation process for theEntrepreneurial Competencies dimension and 0.876 for the Entrepreneurial Intention dimension.Table 1 shows the corresponding Cronbach´s Alpha reliability analysis by dimensions.Descriptive statistics were used in sample characterization for data analysis
computing, and utilizing a unique large scalelocation dataset. In all these cases, the instructors were not the experts but acted more as guidesto graduate student learning.To foster co-created knowledge and a shared learning process, previous versions of this coursehad students add notes to a wiki during the semester. This shared recording space allowedstudents to reflect on and build off each other’s knowledge. Expanding on this constructivistapproach, the SCHOLAR model was introduced in the “emerging technologies” course for fallof 2023, focusing on generative AI. Instead of a wiki, each student built a tutorial about someaspect of generative AI and/or its use in scholarly research. Examples included: Gradio Library Tutorial
recruiting students.Workshop SessionsAs mentioned in the introduction, the pedagogical techniques employed in all of the workshopsare active-learning student-centered methods. Session contents are determined by the instructorsbased on what they determine is most effective to introduce their topics and disciplines. Sessionsnormally include lecture presentations followed by activities that teach the concepts throughdemonstration or experiment that the students perform themselves. The session descriptionsbelow are reflections of the 2023 workshop. A particularly important component of the programthat makes this possible is the inclusion of teaching assistants that are current undergraduatestudents. These teaching assistants, close in age to the
further test/collect data on lubricated and non-lubricated applications.Bibliography 1. Standard Test Method for Calibration and Operation of the Falex Block-On-Ring Friction and Wear Testing Machine. ASTM International, 1 May 2019. 2. Standard Test Method for Ranking Resistance of Materials to Sliding Wear Using Block- On-Ring Wear Test. ASTM International, 1 June 2017. 3. The University of Texas Rio Grande Valley http://www.utrgv.edu/en-us/ 4. The University of Texas Rio Grande Valley - Engineering Technology program http://www.utrgv.edu/_files/documents/admissions/undergraduate/dp-engineering- technology-bs.pdf 5. Fornaro, R.J., Heil, M.R, and Alan L. Tharp, A. L., 2006, “Reflections on 10 years of sponsored
to comprise anAdditive Manufacturing Skills sub-scale. The content reflects the specific skills identified in theproject design. Students respond using a 6-point Likert-type scale from 1 (Completely Uncertain)to 6 (Completely Certain).Cronbach's coefficient alpha was calculated to assess the internal consistency of each scale. TheEngineering Skills Self-Efficacy sub-scale values were good and consistent with those reportedin previous research. The value was borderline for the newly developed Additive ManufacturingSkills scale, suggesting that the number or content of the items may need to be reviewed.The means for all the scales were above the mid-point, suggesting that students had confidencein their abilities. As more data is collected in
4.33 I felt comfortable sharing my thoughts and questions during gameQ10 sessions. 4.09 4.07Q11 The game covered all necessary topics related to hydrogen production. 4.13 4.14 The topics covered in the game were relevant to my overall courseQ12 understanding. 4.30 3.71Q13 The assessments within the game were clear and fair. 4.21 4.14 My performance in the game accurately reflects understanding ofQ14 content. 4.09
day the surveys were distributed. All subscales from the StRIP questionnaireprompted participants to reflect on the class activities in which they were asked to engage duringa specific class period. Additionally, students self-reported their gender identity. We present allmeasures used in the present study in Table 1 and descriptive statistics and correlations betweenmeasures for all students and by students' gender identity in Table 2. Table 1. Abbreviations & Sample Items for Measures Measure Abbreviation Sample Item Belongingness BEL “I have a sense of belongingness in this class.” Affective Response AR “I enjoyed the activities.” Behavioral Response
thetargeted area.In LiDAR systems, a laser scanner emits laser beams in various directions, and a sensor detectsthe reflected light. By calculating the time taken for the laser pulses to travel to the target andback, the LiDAR system can accurately ascertain distances to objects. This technology findsextensive applications in diverse fields such as topographic mapping, forestry, autonomousvehicles, geology, urban planning, and archaeology. LiDAR is pivotal in producing highlydetailed and accurate elevation models and three-dimensional representations of landscapes orstructures.Although the technology is sophisticated, only a few smartphone manufacturers, primarily AppleInc., have integrated it into their products. LiDAR scanners are crucial in