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- Insights for Teaching ECE Courses - Session I
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- 2019 ASEE Annual Conference & Exposition
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Safeer M. Khan P.E., Arkansas Tech University; Mohamed Ibrahim, Arkansas Tech University; Nansong Wu, Arkansas Tech University
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Electrical and Computer
, wireless communication, and IoT applications. c American Society for Engineering Education, 2019 Measuring Self-Efficacy in Engineering Courses – Impact of Learning Style PreferencesAbstractSelf-efficacy is an important outcome of engineering education as it relates to students' feelings,thoughts, motivations and behaviors. The key element of self-efficacy construct is a self-belief inone's abilities and has been described in detail in terms of Bandura's Social Cognitive Theory.Measuring self-efficacy of students in engineering courses is an important element of evaluatingthe overall effectiveness of engineering education. Traditional methods of judging student learningoutcomes
- Conference Session
- Assessment of Learning in ECE Courses
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- 2019 ASEE Annual Conference & Exposition
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Laura K. Alford, University of Michigan; Andrew Deorio, University of Michigan
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Diversity
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Electrical and Computer
success of our program is to use entry and exit surveys to gauge thechange in students’ perceptions of their abilities and learning environment. In particular, we areinterested in the difference between URM students’ and non-URM students’ perceptions of theirabilities and the learning environments in these courses.In the present study, our overarching research question is: Do underrepresented students andnon-underrepresented students show a statistically significant difference in their perceptions oftheir abilities and learning environment as measured by self-efficacy, intimidation byprogramming, and feelings of inclusion?This paper presents entry and exit survey results from three semesters (Fall 2017, Winter 2018,and Fall 2018) of two
- Conference Session
- ECE Division Poster Session
- Collection
- 2019 ASEE Annual Conference & Exposition
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Sohum A. Sohoni, Arizona State University, Polytechnic campus; Shawn S. Jordan, Arizona State University, Polytechnic campus; Javeed Kittur, Arizona State University; Nielsen L. Pereira, Purdue University
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Diversity
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Electrical and Computer
(Eds.), Research methods forprimary care (Vol. 3: Doing qualitative research, pp. 93–109). Thousand Oaks, CA:SAGE Publications, Inc.De Neve, D., Devos, G., & Tuytens, M. (2015). The importance of job resources and self-efficacy for beginning teachers' professional learning in differentiated instruction.Teaching and Teacher Education, 47, 30-41.Felder, R. M., & Soloman, B. A. (2000). Learning styles and strategies. At URL:http://www.engr.ncsu.edu/learningstyles/ilsweb.htmlGlaser, B. G., & Strauss, A. L. (1967). The discovery of grounded theory: Strategies forqualitative research. London: Transaction Publishers.Halverson, E. R., & Sheridan, K. (2014). The maker movement in education. HarvardEducational Review, 84(4), 495-504
- Conference Session
- Curricular Advancements in ECE
- Collection
- 2019 ASEE Annual Conference & Exposition
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Heath Joseph LeBlanc, Ohio Northern University; Khalid S. Al-Olimat P.E., Ohio Northern University; Muhammad Ajmal Khan, Ohio Northern University; Firas Hassan, Ohio Northern University
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Diversity
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Electrical and Computer
positive and significantrelationship with workplace learning and job performance [4]. Entrepreneurially mindedengineers are not just the entrepreneurs with engineering degrees; they are able to fill both theroles of traditional staff engineers as well as leadership roles within organizations [5].The set of teaching and learning strategies that aim to support the KEEN 3Cs framework for EMis referred to as Entrepreneurially Minded Learning (EML) [6]. Oftentimes, EML builds onactive pedagogies, such as Project-Based Learning (PBL), and focuses holistically onopportunity recognition, stakeholder awareness, discovery, and value creation [7]. There arethree entrepreneurial learning domains EML targets: affective factors (such as self-efficacy,intention
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- Embedded Systems & Cybersecurity for ECE
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- 2019 ASEE Annual Conference & Exposition
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B. Lorena Villarreal, DigiPen Institute of Technology; Jeremy N. Thomas, DigiPen Institute of Technology; Christian Hassard, Digipen Institute of Technology
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Electrical and Computer
wheels and DC motors connected on a slave MCU that receives the instructions formovement and decides the direction of the motors. Another slave MCU is connected to theultrasonic sensor that sends the signal when an obstacle is present which triggers an avoidancealgorithm as a safety measure in case there is an object or a person in front of it. IR color sensorson the bottom of the robot detect the following path and if it has reached a specific spot thatrequire a guided explanation, (laboratories, classrooms, showrooms, etc.). The robot wassupposed to be big enough so that tourist and people on the area could easily see it or follow it.This was one of their biggest challenges because considering a weight of 2 kg they needed tofind the correct