Conference Session

Insights for Teaching ECE Courses - Session I

Collection

2019 ASEE Annual Conference & Exposition

Authors

Safeer M. Khan P.E., Arkansas Tech University; Mohamed Ibrahim, Arkansas Tech University; Nansong Wu, Arkansas Tech University

Tagged Divisions

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

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

Active and Cooperative Learning in ECE

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Safeer M. Khan P.E., Arkansas Tech University; Mohamed Ibrahim, Arkansas Tech University

Tagged Divisions

Electrical and Computer

, therefore, needs to includehands-on PBL activities for students that provide solid grounding in engineering fundamentals.Going through the curriculum, students also gain experience of working collaboratively as ateam to undertake and solve complex engineering problems.To measure the effectiveness of engineering modeling and design curriculum, it is important todetermine the self-efficacy of students. The aim is to enable students to go through hands-onPBL activities during the curriculum to develop self-belief and optimism in their competence toaccomplish tasks and produce expected results. In an earlier work on this subject, authors haveproposed an instrument to measure student's perception of self-efficacy in engineering modelingand design

Conference Session

Assessment of Learning in ECE Courses

Collection

2019 ASEE Annual Conference & Exposition

Authors

Laura K. Alford, University of Michigan; Andrew Deorio, University of Michigan

Tagged Topics

Diversity

Tagged Divisions

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

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 2

Collection

2017 ASEE Annual Conference & Exposition

Authors

Joshua Alexéi García Sheridan, Virginia Polytechnic Institute and State University; Seungmo Kim, Virginia Polytechnic Institute and State University; Richard M. Goff, Virginia Tech Department of Engineering Education; Vuk Marojevic, Virginia Tech; Nicholas F. Polys, Virginia Polytechnic Institute and State University; Ayat Mohammed, Virginia Tech; Carl B Dietrich P.E., Virginia Polytechnic Institute and State University

Tagged Divisions

Electrical and Computer

-surveys created and conducted throughQualtrics software, a set of nine items adapted from the Motivational Strategies for LearningQuestionnaire (MSLQ) (Pintrich & De Groot, 1990) were presented to students to quantitativelyreport their confidence regarding their future performance in and learning of cognitive andspectrum sharing radio communications. A mean score was calculated from an average of allitems, which were 7-point Likert scale questions. Analyses of results from the survey wereconducted in SPSS. It should be noted that the item pool for self-efficacy demonstrated a verystrong level of reliability in measuring the construct. The Cronbach’s alpha calculated for themeasure was 0.872 in the pre-tutorial survey and 0.925 in the post

Conference Session

Teaching Analog and Digital Communication: Novel Ideas for Lecture Courses, Laboratories, and Projects

Collection

2011 ASEE Annual Conference & Exposition

Authors

Ratchaneekorn Thamvichai, Saint Cloud State University; Tonya Lynette Smith-Jackson, Virginia Tech; Carl B Dietrich P.E., Virginia Tech; Tamal Bose, Virginia Tech

Tagged Divisions

Electrical and Computer

these results, the self-efficacycriterion was met. Figure 1 illustrates the means of the total CASE values from pre- to post-test. To explore cultural differences, a Friedman Test was conducted using the minority andmajority group membership as a two-level predictor and the pre-test CASE and post-testCASE as repeated measures criterion variables. A significant interaction (time x group) wasidentified, F (1, 8) = 6.41, p < .05. Students in the underrepresented (minority and women)group changed significantly from pre-test to post-test19. Table 1: Modified College Academic Self-Efficacy Scale Items Understanding the knowledge base of cognitive communications. Working on teams in an effective manner. Thinking in a way that

Conference Session

Electrical and Computer Division Poster Session

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Wesley G. Lawson, University of Maryland College Park; Jennifer L. Kouo, Towson University

Tagged Divisions

Electrical and Computer

trouble-shooting circuits and answering procedural questions. Table VIII. Survey Prompts regarding the students’ self-efficacy Fall Fall Summer Onsite Online Online 1 I feel that I know how to use the test and measurement equipment competently. 0.93 0.54 0.88 2 I am good at designing electric circuits. 0.47 0.23 0.63 3 I am good at simulating electric circuits. 0.07 0.46 0.88 4 I am good at building and testing electric circuits. 0.73 0.54 0.63 5 I am good at debugging

Conference Session

Software & Web-based Education

Collection

2016 ASEE Annual Conference & Exposition

Authors

Katie Evans, Louisiana Tech University; Paul Hummel, Louisiana Tech University; Miguel Gates, Louisiana Tech University

Tagged Divisions

Electrical and Computer

average, students in online learningconditions performed modestly better than those receiving face-to-face instruction” [5]. Similarresults were found in a study of college algebra students at a community college [6]. Specifically,online homework was found to be “just as effective as textbook homework in helping studentslearn college algebra and in improving students’ mathematics self-efficacy,” as measured by theMathematics Self-Efficacy Scale. Further, it was observed that “online homework may be evenmore effective for helping the large population of college algebra students who enroll in thecourse with inadequate prerequisite math skills.” Some universities report that students performbetter on exams when using WeBWorK thus boosting student

Conference Session

Capstone, Undergraduate Research, and Projects in ECE

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Ying Lin, Western Washington University; Steve Sandelin

Tagged Divisions

Electrical and Computer

and fun circuits and providing a big picture view, andpromoting students’ motivation to continue pursuing the EE major. We have adopted this courseproject for two consecutive course offerings in fall 2018 and fall 2019, respectively. Studentfeedback in the form of survey questionnaires has confirmed that this pilot project has beensuccessful. Per the survey results, most students feel their abilities of developing design solutions,constructing prototypes, and communicating the design process have improved, which indicatesincreased students’ self-efficacy. Moreover, majority of students feel more motivated to continuewith the EE major of study.I IntroductionFor most Electrical Engineering (EE) and Engineering curricula, analog circuitry and

Conference Session

Embedded System Design

Collection

2010 Annual Conference & Exposition

Authors

Paul Weber, Lake Superior State University

Tagged Divisions

Electrical and Computer

Student Presentations”12 with the basis for several modifications havingbeen described in “Inherently Adaptable Education through Student Presentations”11. One of theprimary methods of student motivation in the presentation is the utilization of student choice. Ithas been shown that there is a high correlation between student choice and the students’ self-efficacy and motivation to learn2, 13. In addition, changes have been made to the originalpresentations to incorporate a marketing style format to better mimic a real-life situation, theimportance of which has been explained by Bhagat3. Lastly, research has shown the usefulness ofboth cooperation and competition in learning environments7. The presentations combined both asstudents must work

Conference Session

Electrical and Computer Engineering (ECE) Poster Session

Collection

2013 ASEE Annual Conference & Exposition

Authors

Branimir Pejcinovic, Portland State University

Tagged Divisions

Electrical and Computer

Page 23.198.7 Disagree, Strongly Disagree. helpful, Waste of time.There were 14 responses out of 15 students after first term, and 8 out of 12 after the second term.The first survey was administered before grades were posted and the second after they wereposted. Figures 3, 4 and 5 present histograms of student responses. Note that these are rawnumbers which will suffice for qualitative discussion below.Figure 3. Student self-efficacy in the areas of designing circuits, building and testing, writingreports and reading technical literature: a) after the first term, and b) after the second term.It is obvious that after the second quarter students felt more confident across all four categories.We can speculate that this can partially

Conference Session

Insights for Teaching ECE Courses

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Laura K. Alford, University of Michigan; Amir Kamil, University of Michigan; Andrew Deorio, University of Michigan

Tagged Topics

Diversity

Tagged Divisions

Electrical and Computer

CS1 through CS2 to CS3.The survey data was analyzed using a mixed-effects linear model for repeated measures ofquestions on the student’s sense of community in their undergraduate studies up to the point ofwhen they took the survey.The data show that students in all groups report generally positive feelings for every surveyquestions, and that mean values are fairly consistent across groups. However, we did observeseveral statistically significant effects, indicating a change in sense of community andself-efficacy. Overall, students report a small but significant decrease over time in response toquestions related to self-efficacy as they progress through the program. Women in particular showa stronger negative effect compared to men. URM

Conference Session

Electrical and Computer Division Technical Session 4

Collection

2017 ASEE Annual Conference & Exposition

Authors

Branimir Pejcinovic, Portland State University; Phillip Wong, Portland State University

Tagged Divisions

Electrical and Computer

components: a) assessing student self-efficacy, i.e., their perception of theirown ability to perform certain tasks, and b) perceived effectiveness of instructional techniquesused in the class. Survey questions include: A) Self-efficacy (“I am confident that …”) Scale: Strongly disagree (1), Disagree (2), Neutral (3), Agree (4), Strongly Agree (5) 1. I can program and use MATLAB to solve problems 2. I can use MATLAB to control LabJack 3. I can solve DC electric circuits problems 4. I can solve general engineering problems 5. I can write good quality reports B) Effectiveness of instructional techniques Scale: Complete waste of time (1), Not helpful (2), Neutral (3), Somewhat helpful (4), Very

Conference Session

SDR & Programming in ECE Education

Collection

2016 ASEE Annual Conference & Exposition

Authors

Wesley G. Lawson, University of Maryland, College Park; Stephen Secules, University of Maryland, College Park; Shuvra Bhattacharyya, University of Maryland, College Park, and Tampere University of Technology; Ayush Gupta, University of Maryland, College Park

Tagged Divisions

Electrical and Computer

alternative course better represents real world engineering.Initial Findings from 2015 cohortInitial analysis of the 2015 cohort has shown tentative gains on self-efficacy and identitymeasures for alternative over traditional course students, however with the inclusion of a finalquestion asking students to identify their prior programming background, race, and gender (anintuition about the importance of these categories came about from our qualitative researchfindings) we noticed that many more of the 14 students who had taken the survey from thetraditional course had no prior programming background, and had correspondingly lower self-efficacy responses on all measures. We intend to continue pursuing the analysis on the 2015cohort stratified by

Conference Session

Interactive Panel on Improving the Experiences of Marginalized Students on Engineering Design Teams

Collection

2015 ASEE Annual Conference & Exposition

Authors

Lorelle A Meadows, Michigan Technological University; Denise Sekaquaptewa, University of Michigan; Marie C Paretti, Virginia Tech; Alice L. Pawley, Purdue University, West Lafayette; Shawn S. Jordan, Arizona State University, Polytechnic campus; Debbie Chachra, Olin College of Engineering; Adrienne Minerick, Michigan Technological University

Tagged Topics

Diversity

Tagged Divisions

Design in Engineering Education, Electrical and Computer, Engineering Libraries, First-Year Programs, Liberal Education/Engineering & Society, Minorities in Engineering, Student, Technological and Engineering Literacy/Philosophy of Engineering, Women in Engineering

self-efficacy, sense of belonging, identification and identityintegration. Often, negative experiences are the result of subtle bias or schemas that all studentsbring with them into their teams, and occur despite the employment of best practices in teamformation.This paper presents a summary of a contemporary understanding of this phenomenon aspresented by several individual researchers covering the fields of stereotype threat, engineeringdesign, teamwork, motivation, and race, gender and their intersections. The content of this paperwas generated by collecting the individual responses of each researcher to a set of promptsincluding: • examples of how students can be marginalized in engineering teamwork and what governing

Conference Session

Circuits and Systems Education 1

Collection

2015 ASEE Annual Conference & Exposition

Authors

Katie Evans, Louisiana Tech University; Paul Hummel, Louisiana Tech University; Miguel Gates

Tagged Topics

Diversity

Tagged Divisions

Electrical and Computer

algebra and in improving students’ mathematics self-efficacy,” as measured by theMathematics Self-Efficacy Scale. Further, it was observed that “online homework may be evenmore effective for helping the large population of college algebra students who enroll in thecourse with inadequate prerequisite math skills.” Some universities report that students performbetter on exams when using WeBWorK thus boosting student performance11. In most cases, theimprovement was small, but nonetheless statistically significant compared to classes withoutWeBWorK6.One study found that student preferences for online homework over traditional homework Page

Conference Session

Innovations in ECE Education I

Collection

2008 Annual Conference & Exposition

Authors

Gisele Ragusa, University of Southern California; Michael Khoo, University of Southern California; Ellis Meng, University of Southern California

Tagged Divisions

Electrical and Computer

Into Results: A Guide to Selecting the Right Performance Solutions. Atlanta, GA.: CEP Press. 17. Shuman, L. J., Besterfield-Sacre, M. and J. McGourty, 2005, “The ABET Professionals Skills – Can they be taught? Can they be assessed?” Journal of Engineering Education, Vol. 94, No. 1, pp. 41-56. 18. Hutchison, M.A., Follman, D. K., Sumpter, M., and Bodner, G. M. 2004. “Factors influencing the self-efficacy beliefs of first year engineering students.” Journal of Engineering Education. Vol. 101. 1. 39-47. Page 13.505.13Sample Concept Inventory Questions1) In the figure shown below, the upper arm is fixed in a

Conference Session

Electrical and Computer Division Technical Session 2

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Caroline Crockett, University of Michigan; Cynthia J. Finelli, University of Michigan

Tagged Divisions

Electrical and Computer

, self-efficacy, interest, and posi- FT, LT, and filtering will benefit tive feelings) [15] their career Quality Use of didactic or student-centered Students rate overall quality of in- Instructional instruction methods [14], [18] struction of SS Quality of presentation, organiza- tion, assessment, and pace [15] Quantity Hours students spent on homework Avg. hours spent on SS homework in a typical week (self-reported) Percentage of lectures attended Classroom Class morale [14], [20] If the

Conference Session

Electrical and Computer Division Poster Session

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Selahattin Sayil, Lamar University

Tagged Divisions

Electrical and Computer

integration provided students with laboratory experiences in a purelytheoretical course, allowing them to gain the comprehensive hands-on skills required ofengineers.It is believed that active lab experiences such as these would increase student self-efficacy andstudent engagement and confidence. This would also enhance the feeling that students belong inthe EE discipline and increase student retention. The results also show that the integration of HiHlaboratory experiences contributes to the improvement of multiple ABET student learningoutcomes. The method used to expand the laboratory experience should be applicable to otherdisciplines as well. References:[1] H. R. Myler, “Early Electrical

Conference Session

New ECE Courses

Collection

2014 ASEE Annual Conference & Exposition

Authors

Constance D. Hendrix, USAF Academy; Danial J. Neebel PE, US Air Force Academy; Ryan Jay Silva, U.S. Air Force Academy

Tagged Divisions

Electrical and Computer

and 4 seek to build intuition and curiosity in the students by providing a broadoverview of EE and CpE. These three goals work together to pique the students’ interest enoughto continue in the major. Conversations with advanced students in the major indicate that a fewwere frustrated by the lack of detail in the first course. Their comments indicate a hunger thatwill be fed as they move through the rest of the major.Another strong motivator for students choosing engineering as a career path is self-efficacy orthe belief in one’s ability to perform a task within a specific domain. If a student believes she orhe will succeed, then success is more likely. Jones and others [7] have shown there is a stronglink between self-efficacy and persistence

Conference Session

Electrical and Computer Division Poster Session

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Phuong Truong, University of California, San Diego; Nicholas Stein, University of California, San Diego; Truong Nguyen, University of California, San Diego

Tagged Divisions

Electrical and Computer

(Evaluation).” 2017 ASEE Annual Conference & Exposition Proceedings, doi:10.18260/1-2--28122.[12] Blotnicky, Karen A., et al. “A Study of the Correlation between STEM Career Knowledge, Mathematics Self-Efficacy, Career Interests, and Career Activities on the Likelihood of Pursuing a STEM Career among Middle School Students.” International Journal of STEM Education, vol. 5, no. 1, 2018, doi:10.1186/s40594-018-0118-3.[13] Prima, E C, et al. “STEM Learning on Electricity Using Arduino-Phet Based Experiment to Improve 8th Grade Students’ STEM Literacy.” Journal of Physics: Conference Series, vol. 1013, 2018, p. 012030., doi:10.1088/1742-6596/1013/1/012030.[14] Herger, Lorraine M., and Mercy Bodarky. “Engaging

Conference Session

Improvements in ECE Circuit Analysis

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Kun Yao, University of Georgia; Adel W. Al Weshah, University of Georgia; Nathaniel Hunsu, University of Georgia

Tagged Divisions

Electrical and Computer

to understand how to promotemetacognitive thinking within engineering pedagogy. In future research effort, wewill also explore how to incorporate generative learning activities (e.g.self-explanation, mapping and peer teaching (Fiorella & Mayer, 2016) withinengineering to promote critical thinking and meta-cognitive thinking in engineeringstudent.Lastly, further research is needed to explore why students exude confidence inresponses that were not based on sound reasoning. It will be interesting to know howsuch self-confidence is associated with self-efficacy, ability to use constructivefeedback and to adopt strategic learning skills.ReferencesBormanaki, H.B., Y.J. Khoshhal, and Research. The role of equilibration in Piaget’s theory

Conference Session

Pedagogy and Assessment in ECE

Collection

2010 Annual Conference & Exposition

Authors

Gordon Skelton, Jackson State University; Wei Zheng, Jackson State University; HuiRu Shih, Jackson State University; Evelyn Leggette, Jackson State University; Tzusheng Pei, Jackson State University

Tagged Divisions

Electrical and Computer

to rely upon the efforts of the stronger membersof their teams. Of course, this decision making process was reflected in both their knowledge ofthe subjects and the results on their examinations. Their research papers, also, were animportant effort to aid the students in enhancing their self-efficacy through completing researchand producing a professional paper that could be presented at a regional or national conference.Though there was much anticipation at the beginning of the class, many of the students wereinterrupted in their efforts due the fact that a number of the students were completing their seniordesign projects. Instead of using their time management skills in this situation, where they hadmultiple assignments and tasks to

Conference Session

Electrical and Computer Division Technical Session 3

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Phuong Truong, University of California, San Diego; Karcher Morris, University of California, San Diego; Nicholas Stein, University of California, San Diego; Katie Hsieh, University of California, San Diego; Ravi D. Patel; Farnia Nafarifard, University of California, San Diego; Chen Du, University of California, San Diego; Kien Truong Nguyen, University of California, San Diego; Truong Nguyen, University of California, San Diego

Tagged Topics

Diversity

Tagged Divisions

Electrical and Computer

arcade game [19]. Fig. 12. Pictures of Student Projects or Presentations for Final DayFor professional development, students were polled in the areas covered by the program beforeand after the program on a Likert scale to evaluate students’ self-efficacy. The results indicatesignificant improvement for various abilities such as: resume building, networking,communication, usage of campus resources, awareness of career paths, academic capabilities,and self-awareness in their areas of improvement to remain competitive for jobs.The number of weeks can be tuned by organizers depending on the pace, content, studentcommitment, school system, etc.Students participating in the virtual program were eager to explore both technical andprofessional

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

ECE Division Poster Session

Collection

2019 ASEE Annual Conference & Exposition

Authors

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

Tagged Topics

Diversity

Tagged Divisions

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

Assessment of Learning in ECE

Collection

2014 ASEE Annual Conference & Exposition

Authors

Alexander Ganago, University of Michigan; Sudarshan Sivaramakrishnan, University of Michigan; Robert Matthew DeMonbrun, University of Michigan

Tagged Divisions

Electrical and Computer

, researchers explain that a student’s intrinsic motivation hasthe greatest effect on his or her potential to genuinely enjoy activities and careers, expandknowledge, and seek out new challenges2, 3, 4.While research has proven that grades and other external structures can motivate students toperform well in classrooms5, 6, the authors of this report examine extrinsic and intrinsicmotivations and their effects on students’ performance in this class. Pintrich7 points to fivegeneral constructs in understanding the motivations of students in the classroom. Additionally,he offers suggestions as to how classroom instruction might be designed to encourage studentmotivation.First, Pintrich7 notes that courses should be designed to encourage self-efficacy and

Conference Session

New Trends in ECE Education II

Collection

2012 ASEE Annual Conference & Exposition

Authors

Craig J. Scott, Morgan State University; Petronella A. James, Morgan State University; Yacob Astatke, Morgan State University; Jumoke O. Ladeji-Osias, Morgan State University

Tagged Divisions

Electrical and Computer

2.0. Thispolicy is a minimal attempt to identify those students that may not possess the proper study skillsor self-efficacy traits, needed to master an online course offering. Figure 4 depicts the average ofthe final course grades received by all the online courses and the complementing non-web basedsections. The average scores are notably higher for the online sections. 4 3.61 3.47 3.49 GPA 3.5 N=109 N=777 N=886 3 WEB

Conference Session

ABET Accreditation, Assessment and Program Improvement in ECE.

Collection

2013 ASEE Annual Conference & Exposition

Authors

Mark William Redekopp, University of Southern California; Gisele Ragusa, University of Southern California

Tagged Divisions

Electrical and Computer

California (USC). She is jointly appointed in the Viterbi School of Engineering’s Division of Engineering Education and the Rossier School of Education. Her research interests and areas of expertise include: engineering education, STEM college access, teacher education and retention, literacy education, content literacy, special education and deaf education as well as assessment and measurement in STEM education. She teaches courses in sci- ence education, measurement, literacy and language development, courses in learning and instructional theory, and teacher education research courses. She extensive expertise in assessment, psychometrics, advanced quantitative analyses, and multimodal research design