video game modifies visual selective attention," Nature, Article vol. 423, no. 6939, p. 534, May 2003, doi: 10.1038/nature01647.[13] P. Wang, H.-H. Liu, X.-T. Zhu, T. Meng, H.-J. Li, and X.-N. Zuo, "Action video game training for healthy adults: A meta-analytic study," Frontiers in Psychology, vol. 7, Jun. 2016, doi: 10.3389/fpsyg.2016.00907.[14] S. Kühn, J. Gallinat, and A. Mascherek, "Effects of computer gaming on cognition, brain structure, and function: a critical reflection on existing literature," Dialogues in clinical neuroscience, Periodical vol. 21, no. 3, pp. 319-330, 2019, doi: 10.31887/DCNS.2019.21.3/skuehn.[15] A. J. Toth, N. Ramsbottom, M. Kowal, and M. J. Campbell, "Converging evidence
recommendations expressed in this material arethose of the author(s) and do not necessarily reflect the views of the National ScienceFoundation.References[1] I. Direito et al., “Diversity, Equity, and Inclusion in Engineering Education: an Exploration of European Higher Education Institutions’ Strategic Frameworks, Resources, and Initiatives,” in SEFI 49th Annual Conference Proceedings 2021, SEFI - European Society for Engineering Education; Brussels, Dec. 2021, pp. 189–193. Accessed: Feb. 08, 2024. [Online]. Available: https://lirias.kuleuven.be/3635850[2] K. Fu et al., “Broadening participation: A report on a series of workshops aimed at building community and increasing the number of women and minorities in engineering design,” in
19.3% Nursing 12.5% Psychology 11.9% Psychology 8.8% Nursing 10.4%Programming experience Programming experience No prior prog course 78.5% No prior prog course 80.0% No/very little Python 74.1% No/very little Python 88.0%Note: NB: Non-binary, SD: Self-described, PNR: Prefer not to respond, HI: Hawaiian, PacIsland: Pacific Islander, prog: ProgrammingDemographic data for student participants can be found in Table 1. The race and ethnicity profileof the sample broadly reflects that of the California community colleges from which studentswere recruited. We next evaluated
. Matusovich, and S. R. Brunhaver, “Understanding the socializer influence on engineering students’ career planning,” in ASEE Annual Conference and Exposition, Conference Proceedings, 2018, vol. 2018-June, doi: 10.18260/1-2--31182.[15] J. S. Eccles and A. Wigfield, “Expectancy-Value Theory to Situated Expectancy-Value Theory: Reflections on the Legacy of 40+ Years of Working Together,” Motiv. Sci., vol. 9, no. 1, pp. 1–12, 2023, doi: 10.1037/mot0000275.[16] A. Wigfield and J. S. Eccles, “Expectancy–value theory of achievement motivation,” Contemp. Educ. Psychol., vol. 25, no. 1, pp. 68–81, 2000.[17] J. S. Eccles and A. Wigfield, “Motivational Beliefs, Values, and Goals,” Annu. Rev. Psychol., vol. 53, pp
work in progress. This increased IAC engagement withcampus was spoken of favorably during the next advisory board meeting. Overall, the responsefrom the IAC members who participated was quite enthusiastic, and most have committed torepeating the process again.The technique is being repeated with the next set of students who started one term later. This setis a much smaller set of students, but again can help to refine the process.Going forward, the intent is to roll the assessment out to all senior design teams and then lookcloser at how this approach impacts the validity of the internal assessment. There is alsoconsideration of having students complete a follow-up reflection on the IAC feedback.References[1] M. El-Sayed and J. El-Sayed
we willobserve their teaching when implementing the game lesson. Data will then be coded andanalyzed using thematic analysis to find out the change in preparedness and engagement towardsteaching computer science.IntroductionIn response to the lack of engineering and computer science education in high school, the NextGeneration Science Standards (NGSS) were created in 2014 by twenty-six states with twentystates adopting these standards [1]. The NGSS shifted science instruction to incorporate cross-cutting (utilizing common themes among STEM disciplines) engineering standards and expandon computational thinking skills [2]. However, as technology and computing have advanced, theNGSS do not reflect the modern skills needed for computing to
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
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
goes beyond explicit content, aiming to identify underlying concepts, patterns, and thus themes that are not at first apparent; it entails interpreting data to uncover the implicit, or hidden, meanings and insights in a particular text. We analyzed this secondary dataset in repeated and systematic movements between these different phases in a spirit of inquiry and interpretation toward answering our proposed research questions[79], [80], [81], [82], [83], and viewed our reflection and activeroles as both researchers and IDR program members as crucially important to addressing the inevitable subjectivity of the Qualitative paradigm. pecifically, we first established Familiarization based on
components involves strategic utilization ofBlender and SolidWorks software. Blender's “. blend" file format seamlessly integrates into Unity'sassets for designing the fan. SolidWorks-generated components are reimagined in Blender forcompatibility with Unity as shown in Figure 2. The wind turbine model is sourced from the Unity3D Asset Store, providing a pre-built foundation [3].Within Unity 3D, the design process continues with the creation of essential elements, leveragingmesh colliders and scripting for user interaction as shown in Figures 3, 4, 5, and 6. The additionof reflections enhances visual appeal, contributing to a more immersive and realistic userexperience. The design process seamlessly integrates Blender, SolidWorks, and Unity 3D
the parallel and series combinations 2. Ohm’s law 3. Voltage and current dividers 4. Time-dependent effects such as R-C chargingThe math and physics required for explaining these topics is relatively straightforward and canbe built intuitively. This approach is reflected in the selection of lab topics which are thenfollowed by applications, such as using a timer IC NE555 and linear voltage regulator LM317.While these applications may look intimidating at first glance, they require only a handful ofcomponents. The LM317 lab illustrates the application of voltage division and Kirchoff’s laws,and results in a useful circuit. Similarly, the application of NE555 illustrates a practical designthat utilizes R-C charging and voltage division
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
of the post-quiz, correct responses had impressively increased to 60%, and incorrect responseshad decreased to 30 %. This overall improvement reflects positively on the effectiveness of theeducational video applied between the assessments, particularly in enhancing the understanding ofdislocations in materials science.ConclusionsIn conclusion, this paper highlights the significance of addressing the challenges students face invisualizing complex concepts in materials science education, particularly pertaining to dislocationsand their influence on material properties. The development of animated visual aids emerged as apromising solution to enhance understanding and engagement in the classroom setting.Through meticulous planning and
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
advised 17 UG theses, 29 MS theses, and 10 Ph.D. dissertations. Hammond is the 2020 recipient of the TEES Faculty Fellows Award and the 2011 recipient of the Charles H. Barclay, Jr. ’45 Faculty Fellow Award. Hammond has been featured on the Discovery Channel and other news sources. Hammond is dedicated to diversity and equity, which is reflected in her publications, research, teaching, service, and mentoring. More at http://srl.tamu.edu and http://ieei.tamu.edu. ©American Society for Engineering Education, 2024 FIE 2023: An aggregate and statistical analysis of the results and feedback of the ASEE ERM premier international conference on engineering education
call (28.1%), and send an email (7.0%) (Figure 3).Figure 2: Introduction to Engineering Students Perception of EmailFigure 3: Introduction to Engineering Students Communication PreferenceTo further clarify, respondents were asked if communication styles reflected communicationtype, using a multiple response type question. For PERSONAL communication (survey definedas with friends & family), respondents preferred sending a text message (34.8%), over making aphone call (34.8%), direct or instant messaging (19.6%), sending an email (1.8%), or via socialmedia by posting content (6.3%). When asked if they had access to their PERSONAL emailaccount via an APP on their phones, all of the responses indicated “Yes.”For BUSINESS communication (survey
the mean fell between the 2.5 – 2.99 range, choice3 for both men and women, with the greater number of women choosing higher GPA ranges, thusthe higher mean. Mean scores for CSE, GCM, and FCM were computed from survey choiceswhere the value labels were as follows: Strongly Disagree (1), Disagree (2), Neither Agree norDisagree (3), Agree (4), Strongly Agree (5). Thus, the higher scores in Table 3 for CSE, GCM,and FCM reflect the strength of agreement with the question.Tests of Relationships: F-test, t-test, and Correlations. Levine’s test for inequality ofvariances (F-test) and independent t-tests (95% confidence interval) were performed for GPArange, CSE, GCM, and FCMs. Findings are depicted in Table 3 and summarized in Table 5.Findings from
Number [EEC-1849430 & EEC-2120746]. Any opinions, findings andconclusions, or recommendations expressed in this material are those of the author(s) and do notnecessarily reflect those of the NSF. The authors acknowledge the support of the entire e4usaproject team.References[1] “The Standards | Next Generation Science Standards.” Accessed: Feb. 07, 2024. [Online]. Available: https://www.nextgenscience.org/standards[2] “Employment in STEM occupations : U.S. Bureau of Labor Statistics.” Accessed: Feb. 07, 2024. [Online]. Available: https://www.bls.gov/emp/tables/stem-employment.htm[3] “Motivational factors predicting STEM and engineering career intentions for high school students | IEEE Conference Publication | IEEE Xplore
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
as an analysis toolwith thoughts similar to this: “If engineers are confident in their assumed or measured blastforce and blast profile, Newmark’s Method provides engineers with an extremely accurate wayto predict a structure’s response to a blast load.” Thus, a primary goal of the laboratory wasreached: to demonstrate the benefits of numerical time-stepping procedures in dynamic responsecalculation.Comparison of experimental and numerical results was the focus of this lab, but analytical resultscould – and probably should – be included to provide a complete picture. After reflecting on thelab, the instructor offered the students a comparison with the analytical approaches to estimatingresponse to blast loads in the following lecture period
byJensen and Cross.Further Reflection and Future WorkThe programs in this study are still growing and evolving. Consequently, limitations of this workinclude the current small sample size. One of the consequences of our currently low N is that weare not yet able to break down results by ethnicity, gender identity, or other important identity andbackground variables. However, while it’s true that our N is small (both overall and incomparison with Jensen and Cross), our results do show the strong potential impact ofproject-based engineering programs. As our programs grow and our N increases in future studies,we may observe further differentiation in outcomes with the population studied by Jensen andCross.The results of this research stimulates us to
!Because of the additional time allotted for the fabrication and testing phases, students were ableto reflect on their experience and discuss possible reasons why their predicted results weredifferent from the measured values. This discussion was required as a part of their final report.Table 5 lists excerpts from student team reports that give possible causes for the discrepanciesbetween experimental and analytical data.Table 5. Panel Project Report Excerpts Detailing Reasons for Differences in Measured and Analytical Data The team were able to see how variations and discrepancies in the manufacturing, however small, can cause large variations in performance. Some of the reasons behind some discrepancies between the data are human error
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
engagement. As the communication landscapecontinues to change, instructors should consider soliciting feedback from industryrepresentatives relevant to their graduates.AcknowledgementsThis work is supported by the National Science Foundation under grant number 2120775 . Anyresults expressed are those of the authors and do not necessarily reflect the views of the NationalScience Foundation. The authors would also like to acknowledge the industry representatives fortheir time in completing the survey.References[1] D. P. Dannels, "Learning to Be Professional: Technical Classroom Discourse, Practice, and Professional Identity Construction," Journal of Business and Technical Communication, vol. 14, no. 1, pp. 5-37, 2000/01/01 2000, doi
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
,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
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
, particularly in the first year.IntroductionTeamwork is an important skill for engineering students and is often a key component of first-year engineering courses. Research has shown that to foster development of teamwork skills,activities should be carefully structured with ample opportunities for practice, constructivefeedback, monitoring, and reflection [1]. One well-established way to develop teamwork skills iscooperative learning, which is a structured form of group work [2]. Cooperative learning is basedon five important tenets: mutual interdependence, individual accountability, face-to-facesupportive interaction, guided practice of interpersonal skills, and regular self-assessment ofteam functioning [3]. Oakley et al. [4] provide a comprehensive