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- MECH - Technical Session 13: Technological Advancements and Applications
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- 2024 ASEE Annual Conference & Exposition
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Golnaz Mirfenderesgi, The Ohio State University; Syedah Zahra Atiq, The Ohio State University
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Diversity
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Mechanical Engineering Division (MECH)
,” Applied Thermal Engineering, vol. 112, pp. 841–854, Feb. 2017, doi: 10.1016/j.applthermaleng.2016.10.134.[4] B. A. Al-Sheeb, A. M. Hamouda, and G. M. Abdella, “Modeling of student academic achievement in engineering education using cognitive and non-cognitive factors,” JARHE, vol. 11, no. 2, pp. 178–198, Apr. 2019, doi: 10.1108/JARHE-10-2017-0120.[5] M. Khan, M. Ibrahim, and N. Wu, “Measuring Self-Efficacy in Engineering Courses – Impact of Learning Style Preferences,” in 2019 ASEE Annual Conference & Exposition Proceedings, Tampa, Florida: ASEE Conferences, Jun. 2019, p. 33092. doi: 10.18260/1-2-- 33092.[6] M. Khan and M. Ibrahim, “Women in Engineering – Focus on Self-Efficacy in Modeling and Design through
- Conference Session
- MECH - Technical Session 9: Advanced Mechanical Engineering Topics
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- 2024 ASEE Annual Conference & Exposition
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Samuel James Murphy, The University of Iowa; Martell Cartiaire Bell, The University of Iowa; Rachel Vitali, The University of Iowa; Jae-eun Russell
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Diversity
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Mechanical Engineering Division (MECH)
] E. Fast and E. Horvitz, "Long-Term Trends in the Public Perception of Articial Intelligence," AAAI, vol. 31, no. 1, 2017.[2] M. Borrego, "Conceptual difficulties experienced by trained engineers learning educational research methods," Journal of Engineering Education, vol. 96, no. 2, pp. 91-102, 2007.[3] N. A. Mamaril, E. L. Usher, C. R. Li, D. R. Economy and M. S. Kennedy, "Measuring Undergraduate Students' Engineering Self-Efficacy: A Validation Study," Journal of Engineering Education, vol. 105, no. 2, pp. 366-395, 4 2016.[4] R. M. Marra and B. Bogue, "Women Engineering Students' Self Efficacy-A Longitudinal Multi- Institution Study," 2006.[5] J. S. Weedon, "Judging for Themselves: How Students Practice Engineering
- Conference Session
- MECH - Technical Session 9: Advanced Mechanical Engineering Topics
- Collection
- 2024 ASEE Annual Conference & Exposition
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Rachel Mok, Massachusetts Institute of Technology; Cong Li, Massachusetts Institute of Technology; Benita Comeau, Massachusetts Institute of Technology; Emily Welsh, Massachusetts Institute of Technology; Nicholas Xuanlai Fang, University of Hong Kong; John Liu, Massachusetts Institute of Technology
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Mechanical Engineering Division (MECH)
wereadapted from the Motivated Strategies for Learning Questionnaire (MSLQ) [37, 38], to measureattitudes associated with learning. In this survey, the learner is asked to rate statements on a 7-point Likert scale (1 - “not at all true of me” to 7 - “very true of me”). The students rated their at-titudes toward intrinsic goal orientation, which is associated with a student’s perception that theyshould participate in the learning task because it is challenging, arouses their curiosity, and forcomplete understanding of the material. Further, the students rated their motivation to reengagewith the material and their fear of making mistakes. Finally, the survey also asked the students torate several self-efficacy constructs, where they are asked to judge
- Conference Session
- MECH - Technical Session 15: Engineering Education Research and Reviews
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- 2024 ASEE Annual Conference & Exposition
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Ibrahim Nihad Awartani, University of Cincinnati; Iman Shayegani, University of Cincinnati; David Allen Evenhouse, University of Cincinnati; So Yoon Yoon, University of Cincinnati
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Diversity
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Mechanical Engineering Division (MECH)
and diversity,equity, and inclusion (DEI). The authors described how these subcategories would need to becategorized properly in future revisions, but the idea is they heavily dictated a student’sconfidence and sense of belonging.Summarizing this listing, we concluded with a motivational category list of interventionsubcategories as follows: task-value interventions (e.g., utility-value, communal value), framinginterventions (e.g., self-efficacy, belonging), personal value interventions (e.g., valueaffirmations), mitigating stereotype threat, and changing attributions, as shown in Table 1.Donker et al (2014) conducted a meta-analysis on teaching strategies that help studentmetacognition and self-regulation to find which specific tactics
- Conference Session
- MECH - Technical Session 1: Foundations of Engineering Education
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- 2024 ASEE Annual Conference & Exposition
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Jenni Buckley, University of Delaware; Amy Trauth, American Institutes for Research; Alexander John De Rosa, University of Delaware
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Mechanical Engineering Division (MECH)
. Otherengineering educators have presented projects of similar complexity, including a fast-returnactuator [8], compressed air engine [9], and ceiling hoist [10]. These projects are typicallyimplemented in standalone lab settings [7] or embedded within junior year machine designcourses [3, 10] and students work in groups to manufacture their prototype from a common,instructor-specified design. Implementation of machining projects has been linked to improvedcourse evaluations [3, 11] and enhanced understanding of theory-based course material [10];however, prior studies do not present evidence of improvement in students’ self-efficacy withregards to specific machining skills nor do these prior studies adequately demonstrate thetransferability of machining
- Conference Session
- MECH - Technical Session 9: Advanced Mechanical Engineering Topics
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- 2024 ASEE Annual Conference & Exposition
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David A. Copp, University of California, Irvine
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Mechanical Engineering Division (MECH)
in both grading schemes and students perceptions on how specifications gradingaffected their learning, anxiety, and self efficacy, as collected in midterm and end of term surveys.In general, students reported feeling that the specifications grading scheme helped them learn andgave them confidence to earn their desired grade, although some students reported that thespecifications grading scheme was more stressful than traditional points-based grading. Finally,we discuss the advantages and challenges, from the instructor’s observations and perspective,associated with transitioning from a traditional points-based grading scheme to usingspecifications grading.IntroductionDifferent instructors have different perspectives on the purpose and
- Conference Session
- MECH - Technical Session 2: Enhancing Learning through Hands-On Design
- Collection
- 2024 ASEE Annual Conference & Exposition
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Jenni Buckley, University of Delaware; Amy Trauth, American Institutes for Research; Alexander John De Rosa, University of Delaware; Heather Doty, University of Delaware
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Mechanical Engineering Division (MECH)
was one of few studies to examine whether astructures themed PBL exercise boosts student performance on textbook statics problems. Priorstudies [1, 2, 5] have focused mainly on students’ analytical and design self-efficacy. Our studyadds to prior research by connecting the PBL experience to improved understanding of specificstatics concepts like two-force members, action-reaction pairs, and internal loads.There are several strengths and some limitations to our study. First, we used a robust, mixed-methods approach that allowed us to measure qualitative and quantitative changes in students’structural analysis skills. One limitation of the study is that we did not determine causality; inother words, we cannot definitively claim that the PBL
- Conference Session
- MECH - Technical Session 1: Foundations of Engineering Education
- Collection
- 2024 ASEE Annual Conference & Exposition
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James Hiram Cover, University of Nebraska, Lincoln; Heidi A. Diefes-Dux, University of Nebraska, Lincoln; Grace Panther, University of Nebraska, Lincoln
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Mechanical Engineering Division (MECH)
socialunrest, as well as fires, hurricanes, floods, and other emergencies [1] may also cause disruptions.Such disruptions, on the student side, may lead to, among other things, feelings of isolation,anxiety, and stress [2]; reduced motivation, self-efficacy, and achievement [3]; and retentionissues [4]. The use of a learning management system (LMS) has been shown to mitigatechallenges associated with disruptions, prompting researchers to better understand the degree towhich LMS features are used and how they can be used more effectively. This study wasconducted to discover how instructors utilized a LMS before, during, and after a disruption.Findings from this study can be used by policy makers and educators to plan how best to useLMS features given