- Conference Session
- ETD Capstone Projects
- Collection
- 2017 ASEE Annual Conference & Exposition
- Authors
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Kimberly Grau Talley P.E., Texas State University; Farhad Ameri, Texas State University
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Diversity
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Engineering Technology
space, the teams were able to use them efficiently and createand test multiple prototypes in a short period of time and make the necessary adjustment to theirdesign such that it better meets the identified requirements. As shown in Figure 3, theperformance of the final prototypes for both teams was tested using press test method and it wasobserved that both designs increase the weight-bearing limit of the patient as much as 12-15pounds. Figure 2: Prototyping in the maker space Figure 3: The final prototype was tested using press test methodSurvey InstrumentThe Engineering Design Self-Efficacy tool (Carberry et al, 2010) was used to measure anychanges in the students
- Conference Session
- Engineering Technology Division Poster Session
- Collection
- 2017 ASEE Annual Conference & Exposition
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Behnam Shadravan, Florida A&M University; Yves J. Anglade, Florida A&M University/Florida State University
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Diversity
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Engineering Technology
procrastinators’distance learning outcomes. Computers & Education, 49, 2, 414–422.Simonson, M., Smaldino, S., Albright, M., & Zvacek, S. (2009). Teaching and learning ata distance: Foundations of distance education (4th ed.). Boston, MA: Pearson.Bates, R. & Khasawneh, S. (2007). Self-efficacy and college students’ perceptions anduse of online learning systems. Computers in Human Behavior, 23, 1, 175–191.Chen, A., Darst, P. W. & Pangrazi, R. P. (1999). What constitutes situational interest?Validating aconstruct in physical education. Measurement in Physical Education andExercise Science, 3, 3, 157–180.Guzley, R. M., Avanzino, S. & Bor, A. (2001). Simulated computer-mediated/video-interactive distance learning: a test of motivation, interaction
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- Mechatronics
- Collection
- 2017 ASEE Annual Conference & Exposition
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John R. Haughery, Iowa State University; D. Raj Raman, Iowa State University; Amy L. Kaleita, Iowa State University; Steven A. Freeman, Iowa State University
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Engineering Technology
Task Value (TV) 4, 10, 17, 23, 26, 27Expectancy Components Control of Learning Beliefs (CLB) 2, 9, 18, 25 Self-Efficacy for Learning and Performance (SE) 5, 6, 12, 15, 20, 21, 29, 311 There are 31 questions within the motivation scale of the MSLQ.2.4. Data CollectionWe collected pre- and post-test surveys during the spring 2016 semester. The pre- and post-testsurveys were both administered through Qualtrics (Provo, UT), with the pre-test collectionoccurring during week eight of the semester, and the post-test collection occurring during week16. This pre- vs. post-test design allowed us to measure changes in students’ motivationorientation relative to
- Conference Session
- ETD Accreditation and Assessment
- Collection
- 2017 ASEE Annual Conference & Exposition
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Michael Johnson, Texas A&M University
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Engineering Technology
engineering degree through student design competition as added value. Considerations and viability. Journal of Engineering Design, 27 (8), 568-589.[6] Seth, D., Tangorra, J. & Ibrahim, A., (Year). Measuring undergraduate students' self- efficacy in engineering design in a project-based design courseed.^eds. Frontiers in Education Conference (FIE), 2015. 32614 2015. IEEEIEEE, 1375-1382.[7] Jones, B.D., Epler, C.M., Mokri, P., Bryant, L.H. & Paretti, M.C., (2013). The effects of a collaborative problem-based learning experience on students' motivation in engineering capstone courses. Interdisciplinary Journal of Problem-based Learning, 7 (2), 33-71.[8] Welch, R.W. & Estes, A.C., (Year). Project-based