- Conference Session
- Thermal Fluid Experiment Related
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- 2021 ASEE Virtual Annual Conference Content Access
- Authors
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Matthew J. Ford, Cornell University; Soheil Fatehiboroujeni, Cornell University; Hadas Ritz, Cornell University
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Mechanical Engineering
as the type of experiment performed, specimengeometry, and measurement method. We identified 29 unique approaches to the problem, with noone approach accounting for more than three submissions.Student outcomes were measured by a survey of students’ attitudes and self-efficacy administereddirectly after every lab activity except for the first one. The fraction of students endorsingstatements related to a sense of agency increased dramatically between the “traditional” labs andthe guided-inquiry lab: from 52% to 82% for goal-setting and from about 64% to 92% for choiceof methods. Self-efficacy increased significantly in the primary targeted skills (designingexperiments, making predictions, and generating further questions), but there was no
- Conference Session
- Thermal Fluid Related
- Collection
- 2021 ASEE Virtual Annual Conference Content Access
- Authors
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Soheil Fatehiboroujeni, Cornell University; Matthew J. Ford, Cornell University; Hadas Ritz, Cornell University; Brian J. Kirby, Cornell University; Elizabeth Mills Fisher, Cornell University
- Tagged Divisions
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Mechanical Engineering
% drop in the mean scorefrom 2019 to 2020 (t-test, 𝑝 ≪ 0. 001). Figure 5: the distribution of scores in the multiple choice concept inventory tests 2 2 (𝑛19 = 131 , 𝑛20 = 99 , 𝑓 = (1\σ 2π) 𝑒𝑥𝑝(− (𝑥 − µ) \2σ ). Furthermore we measure students’ motivation and attitudes towards learning by adoptingportions of the Motivated Strategies for Learning Questionnaire (MSLQ) that was administeredtowards the end of each semester [10]. The survey included multiple items related to intrinsicand extrinsic motivation, self-efficacy, task value, and peer learning. Please see the appendix fora list of items in our survey. Figure 6
- Conference Session
- Thermal Fluid Related
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- 2021 ASEE Virtual Annual Conference Content Access
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Autar Kaw, University of South Florida
- Tagged Divisions
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Mechanical Engineering
examinationsthat are not the same and where allowable resources are different (Ryan, 2016).Suppose the author was to comment on possible reasons for the high number of A grades in theonline group. In that case, one could "possibly" point to the general higher self-efficacy ofacademically bright students in an online environment. More of them (Giancola and Kahlenberg,2016) belong to the upper-income quartiles and can afford better resources and environment toflourish in the online environment.Individual grade components (tests, homework, projects) also show no statistically significant orpragmatic differences between the two groups except for the homework assignments. The onlineflipped class students scored 13% more than the F2F flipped classroom, which
- Conference Session
- Machine Design Related
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- 2021 ASEE Virtual Annual Conference Content Access
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Edward James Diehl P.E., University of Hartford
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Mechanical Engineering
.[3] N. D. Fleming, "I'm different; not dumb. Modes of presentation (VARK) in the tertiaryclassroom,” Research and Development in Higher Education, Proceedings of the 1995 AnnualConference of the Higher Education and Research Development Society of Australasia(HERDSA), HERDSA, vol 18, 1995, pp. 308-13.[4] J.-M. J. Booth, T. E. Doyle and D. M. Musson, "Influence of learning preference on self-efficacy and performance in mixed-modality firstyear engineering design," Proceedings of theCanadian Engineering Education Association (CEEA), 2013.[5] G. B. Dadi, P. M. Goodrum, T. R. B. Taylor and W. F. Maloney, "Effectiveness ofcommunication of spatial engineering information through 3D CAD and 3D printed models,"Visualization in Engineering, vol. 2