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Conference Session
Electrical and Computer Division Technical Session 4
Collection
2018 ASEE Annual Conference & Exposition
Authors
Safeer M. Khan P.E., Arkansas Tech University; Nansong Wu, Arkansas Tech University; Mohamed Ibrahim, Arkansas Tech University
Tagged Divisions
Electrical and Computer
Paper ID #22397A Study on Measuring Self-efficacy in Engineering Modeling and DesignCoursesDr. Muhammad Safeer Khan, Arkansas Tech University Muhammad Khan received Ph. D. degree in Electrical and Computer Engineering from the University of North Carolina at Charlotte, Charlotte, NC, USA in 2013. He is an Assistant Professor in the De- partment of Electrical Engineering at Arkansas Tech University (ATU). His research interests include signal processing for audio and acoustics, Wireless Communications, Internet of Things applications, non-destructive evaluation, engineering and integrated STEM education and K-12 and higher
Conference Session
Electrical and Computer Division Technical Session 7
Collection
2018 ASEE Annual Conference & Exposition
Authors
Joshua Alexéi García Sheridan, Virginia Tech; Richard M. Goff, Virginia Tech; Seungmo Kim, Georgia Southern University; Vuk Marojevic, Virginia Tech; Carl B. Dietrich, Virginia Tech
Tagged Divisions
Electrical and Computer
– Positive social functioning, good behavior related to feelings for the activity E_NSF Engagement – Negative social functioning, bad behavior related to feelings for the activity E_IL Engagement – Involvement in learning, the apprehension a student takes in an activity E_D Engagement – Disposition, particular actions performed by student that indicates their engagement in the activity SE Self-efficacy, the belief of the student that they can succeed in a particular taskMost measures were composed of 2-4 questions that were weighted equally into an average.“Self-efficacy (SE)” was composed of 4 questions
Conference Session
Electrical and Computer Division Technical Session 1
Collection
2018 ASEE Annual Conference & Exposition
Authors
Nikitha Sambamurthy, zyBooks; Alex Daniel Edgcomb, zyBooks
Tagged Divisions
Electrical and Computer
Approach to Electric Circuit Instruction.International Journal of Engineering Pedagogy, 7(1), 2017.[24] DesPortes, K., Anupam, A., Pathak, N., and DiSalvo, B. Circuit diagrams vs. physicalcircuits: The effect of representational forms during assessment. In Frontiers in EducationConference (FIE), 2016 IEEE (pp. 1-9). IEEE, October, 2016.[25] Evans, D. L., Gray, G. L., Krause, S., Martin, J., Midkiff, C., Notaros, B. M., ... andStreveler, R. Progress on concept inventory assessment tools. In Frontiers in Education, 2003.FIE 2003 33rd Annual (Vol. 1, pp. T4G-1). IEEE, November, 2003.[26] Whitesel, C. A. Relationships Among Personal Characteristics, Self-Efficacy, andConceptual Knowledge of Circuit Analysis of Community College Engineering
Conference Session
Electrical and Computer Division Technical Session 3
Collection
2018 ASEE Annual Conference & Exposition
Authors
Anthony A. Maciejewski, Colorado State University; Tom Chen, Colorado State University; Zinta S. Byrne, Colorado State University; Melissa D. Reese, Colorado State University; Branislav M. Notaros, Colorado State University; Ali Pezeshki, Colorado State University; Sourajeet Roy, Colorado State University; Andrea M. Leland, Colorado State University; Laura B. Sample McMeeking, Colorado State University; Thomas J. Siller, Colorado State University
Tagged Divisions
Electrical and Computer
, USA: The National Academy of Engineering, 2005.[29] E. Cady, N. L. Fortenberry, M. Drewery, and S. A. Bjorklund, "Validation of surveys measuring student engagement in engineering, Part 2," in ASEE Annual Conference and Exposition, Austin, TX, USA, 2009, pp. 14.1344.1-14.1344.20.[30] M. A. de Miranda, K. E. Rambo-Hernandez, and P. R. Hernandez, "Measuring Student Content Knowledge, iSTEM, Self-Efficacy, and Engagement through a Long-Term Engineering Design Intervention," in ASEE 123rd Ann. Conf., New Orleans, LA, USA, 2016, 10.18260/p.25694.[31] A. M. Pettigrew, R.W. Woodman, & K.S. Cameron, “Studying Organizational Change and Development: Challenges for Future Research,” Academy Of Management Journal, 44(4), 697-713
Conference Session
Electrical and Computer Division Technical Session 5
Collection
2018 ASEE Annual Conference & Exposition
Authors
Branimir Pejcinovic, Portland State University; Robert B. Bass, Portland State University; Phillip Wong, Portland State University
Tagged Divisions
Electrical and Computer
0 Strongly Disagree Neutral Agree Strongly Disagree Agree Figure 4. Student self-efficacy regarding their ability to define and implement a project management plan. Done in ECE 101, Fall’17. N = 58.3.2. Project Management Assessment Using TrelloWe could use various Scrum “artifacts”, e.g., schedules, user stories, and kanban boards, toassess team project management, but we will focus on kanban boards and use a rubric forevaluating the Trello boards. Our initial observations of first-year students show that they needclose guidance and supervision, such as through the use of
Conference Session
Electrical and Computer Division Technical Session 5
Collection
2018 ASEE Annual Conference & Exposition
Authors
Saharnaz Baghdadchi, University of California, San Diego; Rebecca Anne Hardesty, University of California, San Diego; Paul Andreas Hadjipieris, University of California, San Diego; Jace Hargis, University of California, San Diego
Tagged Divisions
Electrical and Computer
, C. & Dweck, C. (1998). Praise for intelligence can undermine children’s motivation and performance. Journal of Personality and Social Psychology, 75, 33-52.Puentedura, R. R. (2006). Transformation, technology, and education. Retrieved on September 2, 2016 from http://hippasus.comZimmerman, B. J., Bandura, A., & Martinez-Pons, M. (1992). Self-Motivation for Academic Attainment: The Role of Self-Efficacy Beliefs and Personal Goal Setting. American Educational Research Journal, 29(3), 663-676. doi:10.3102/00028312029003663AppendicesMid-Term Exam AnalysisAverage: 71 out of 100Standard Deviation: 19A few midterm problem averages:Problem 5. 71%Problem 8. 55%Problem 9. 70%Problem level analysis:Problem 1.Level