/A) a. Yes b. No c. N/A 11. If you had a graduate student on your project team this semester, do you believe their knowledge, background, and experience significantly contributed to reaching overall project goals? (If you did not have a graduate student on your project team select N/A). a. Yes b. No c. N/AThank you for participating in this survey. Your input is crucial in gaining insights into theundergraduate experience within semester projects Appendix BGraduate Survey 1. Program Assessment: What Graduate Program are you currently in? a. Masters b. Ph.D. 2. Teaching Modality: Are you currently
by testing each section separately. This is often referred to as chunking. • Discrepancy Detection: This strategy emphasizes the identification of discrepancies or de- viations from expected system behavior to locate faults.Of these strategies, researchers have observed that novice programmers tend to resort to trial anderror when debugging software programs [13]. Understanding and mastering additional, moresystematic troubleshooting strategies could aid novices in improving their troubleshooting abilitiesin various domains.3 MethodologyTo identify circuit troubleshooting techniques, we conducted an exploratory, qualitative study. Thestudy involved the following primary steps: 1. Based on the background research and
institution with a higher population of nontraditional 13students or in classes for masters students who have come back to school after time in industry.Lastly, we have been updating the reflection prompts to be less open-ended, more tied to theassigned readings, and better challenging students to engage in critical thinking. An example ofthis is shown in Table 3 which displays a previous and revised reflection prompt from week 2.Table 3. Example of Old and Updated Reflection Prompt for the Car Crash Week Old Version Updated Version How do gender The two reports took different perspectives: the first
research is to learn as much as I can.29. One of my goals is to master a lot of new skills this semester.38. It’s important to me that I thoroughly understand my research work.49. It’s important to me that I improve my skills this semester.Performance-approach goal orientation8. It’s important to me that other students in the program think I am good at my research work.26. One of my goals is to show others that I’m good at my research work.41. One of my goals is to show others that research is easy for me.45. One of my goals is to look smart in comparison to the other students in the program.48. It’s important to me that I look smart compared to others in the program.Performance-avoid goal orientation3. It’s important to me that I don’t look
, Samuel L Gaertner, and Kerry Kawakami. Intergroup contact: The past, present, and the future. Group processes & intergroup relations, 6(1):5–21, 2003.[24] Irving Seidman. Interviewing as qualitative research: A guide for researchers in education and the social sciences. Teachers college press, 2006.[25] Stephen Secules, Cassandra McCall, Joel Alejandro Mejia, Chanel Beebe, Adam S Masters, Matilde L. S´anchez-Pe˜na, and Martina Svyantek. Positionality practices and dimensions of impact on equity research: A collaborative inquiry and call to the community. Journal of Engineering Education, 110(1):19–43, 2021.[26] Kelly J Cross. The Experiences of African-American Males on Multiracial Student Teams in Engineering. PhD thesis
3.81 250 0.00 Peer-learning and collaboration -0.26 1.89 -2.22 250 0.03 (PLC) Interest epistemic curiosity 0.17 0.87 3.06 250 0.00 (IEC) Deprivation epistemic curiosity -0.13 0.79 -2.60 250 0.01 (DEC)Tables 4 and 5 show that both intrinsic and extrinsic motivation levels increased. Students wereinternally motivated by their genuine interest in the subject (Intrinsic Goal Orientation, IGO).Simultaneously, they recognized the external benefits of mastering biology concepts (ExtrinsicGoal Orientation, EGO). Task Value (TV) also increased, representing the perceived importanceof the learning tasks. Students understood the
burgeoning expertise in the field. Now, as a graduate student majoring in Advanced Computing, Ejiga is not only expanding his academic horizons but also actively contributing to the evolving landscape of engineering education. His role in the pedagogy project reflects a keen interest in developing educational strategies that are more interactive and hands-on, a testament to his dedication to enhancing learning experiences in engineering. Ejiga’s background in computer science, combined with his current focus on advanced computing, positions him uniquely to contribute significantly to both his department and the broader academic community.Oluwapemiisin Gbemisola Akingbola, Morgan State University Masters student Of
Paper ID #42368Comparing First- and Fourth-Year Undergraduate Engineering Experiencesof First-Generation Students Using Narrative AnalysisEmily Nicole Fitzpatrick, University of Nebraska, Lincoln Emily is an undergraduate student researcher focused on engineering education in the Mechanical & Materials Engineering department at the University of Nebraska-Lincoln.Nosakhare Iyobosa Idiaghe, University of Nebraska, Lincoln Idiaghe Nosakhare is a PhD Student of Engineering Education Research at University of Nebraska, Lincoln. He holds a Masters degree in Industrial Engineering and a Bachelors degree in Petroleum
. The module improved my skills in performing of university-level research. This module increased my confidence in preparing to transition to the workplace after graduation. I would recommend this module to a peer. How will you apply this content you learned in this module? What recommendations do you have for improving the module? Please share any other comments you have about the module here:Demographic questions [appeared at end of survey]Which course did you complete the module(s) for? • MGMT 110 • ENGT 480 • Other class (please specify):What is your student classification? • First year student • Sophomore • Junior • Senior • Graduate Masters Student • Graduate PhD StudentPlease indicate your gender(s). Select all
students about key medical and engineering technologies. This experience awakened a love of instructing and curricular design, which guides his current research studying the impact of technologies and curricular design on students and medical professionals.Dr. Ali Ansari, University of Illinois Urbana-Champaign Ali Ansari is a Teaching Assistant Professor at the University of Illinois at Urbana-Champaign. He holds a Masters and Ph.D in Bioengineering from the University of Illinois at Urbana-Champaign, and graduated from Southern Methodist University with a degree in Electrical Engineering. Ali has been teaching for the past two years at Bucknell University in both the Biomedical Engineering and Electrical and
education.Dr. Abel A. Fernandez P.E., University of the Pacific Abel Fernandez is Professor and Chair of the Engineering Management Program at the University of the Pacific, Stockton, California. He holds the Ph.D. degree in Industrial Engineering from the University of Central Florida; MBA, M.E. and B.S. degrees in Electric Power Engineering from Rensselaer Polytechnic Institute.Dr. Chi-Wook Lee, University of the Pacific Professor of Mechanical Engineering Department at University of the Pacific.Dr. Vivek Pallipuram, University of the Pacific Vivek Pallipuram is an Associate Professor in Electrical and Computer Engineering and Program Chair for the Master of Science in Engineering (MSE) program. His research
. We can help them by designing graduate engineering education thatbuilds on the richness of multiple disciplines using a range of experiential catalysts. This is notsimply the wish of a social scientist trying to elbow her way into the engineering curriculum.Socio-technical bridging is an empirically confirmed engineering phenomenon. Our careerhistory research in engineering workplaces demonstrated that one of the most powerfulleadership development paths was carved by “boundary spanners” [31], engineers with deepexperience in multiple divisions, departments, and organizational communities who learned toblend their technical training with iterative social development. These engineers were fantasticleaders, not only because they had mastered
Department of Computer Science and Mathematics at Arcadia University. She earned her doctoral degree in Computer Science from University of Alberta, Canada. Dr. Jia’s research interests include data science, machine learning, computer science education and computer networks.Cate Wengelnik, The University of Texas at San Antonio Cate Wengelnik has obtained two Masters Degrees in International Higher Education Management and Latin American Business Administration (MBA). She has also received several awards for her contribu- tions on leadership and the effects of high-performance teams. She obtained Certificates in Intercultural Competence, Transcultural Communication and Leadership. She is a certified mediator, has worked
relation to the design of the automatic blood pressure measurement device: a) Electrical and computer engineering; b) Human physiology/biology; and c) Medical/health care. In assessing their responses, we defined the following numerical rubric scale: 1. Limited (score 1): the student was unable to describe most of the major activities; 2. Satisfactory (2): the student was able to describe several but not all of the major activities; 3. Mastered (3): the student accurately described all of the major activities. Two instructors performed the assessment. On a 1-to-3 scale, the mean was 2.23 and the standard deviation was 0.62. We feel that this result is good, but we hope to improve. Spring 2012 Mid
the learning outcomes for the engineers, and to identify possible improvements; Interviews of Masters students in education who are also classroom teachers; Surveys of all senior engineering undergraduates in order to compare learning outcomes for students who work on community projects with those who work on traditional capstone projects; Pre- and post-lesson surveys to gauge middle school students’ comfort level with science, math, and engineering, and understanding of engineers and what they do; and Teacher-generated assessments in science class and math class to measure the student learning from the lesson plans developed.Learning Outcomes for Engineering Students These projects
driven by a problem or a set ofproblems. Some typical problem solutions are demonstrated by the instructor and studentspractice problem solving among other activities in order to master the learning outcomes.Problems could be realistic or abstract. Recent research suggests that abstract problems havesome advantages over others (Kaminski, Sloutsky, Heckler, 2008). However, unlike PDL, animportant aspect of PDT is that instructor plays an active role in teaching activities.In a PBL environment, students are usually divided into teams to work on problems. In thismodel the problems are expected to drive the learning activities, a common practice in medicalscience, particularly in psychiatry (Adamowski, Frydecka, & Kiejna, 2007). In this strategy
; and Co-PI onNortheast Louis Stokes Alliance for Minority Participation (NELSAMP). He is an Active Member of AmericanSociety of Engineering Education (ASEE) and serves on GK-12 Committee.Claire DugganBS Political Science, Master Public Administration. Director, The Center for STEM at Northeastern University. K-12 Outreach Coordinator; CenSSIS/ALERT Northeastern University; Co-PI/Program Director, Research Experiencefor Teachers (RET) at Northeastern University; Executive Director/Founder, Young Scholars Program; Co-Executive Director, ExxonMobil-Bernard Harris Summer Science Camp; Liaison, StepUP Initiative, CoordinateNortheastern University‟s involvement with the StepUP initiative. A partnership effort between five universities andeleven
Education, 20 (2), 139-144 5. Saville, K. Bryan, Zinn, E. Tracy, Brown, R. Allison, and Marchuk, A. Kimberly (2010). “ Syllabus Detail and Students’ Perceptions of Teacher Effectiveness” , Teaching of Psychology, 37, 186–189 6. Jenkins, S. Jade., Bugeja D, Ashley, and Barber, K. Larissa (2014). “More Content or More Policy? A Closer Look at Syllabus Detail, Instructor Gender, and Perceptions of Instructor Effectiveness” , College Teaching, 62, 129–135 7. Buskist, W., Sikorski, J., Buckley, T., and Saville, B. K. (2002). “ Elements of master teaching. In S. F. Davis & W. Buskist (Eds.)” , The teaching of psychology: Essays in honor of Wilbert J. McKeachie and Charles L. Brewer, Mahwah, NJ, Lawrence Erlbaum
direction of a straight line is constant atcalculus will be encouraged to master the algebraic formchanging techniques such as solving, factoring and completing every point, so too will be the angle of inclination, the slope,the square. Differential calculus will be treated as a continuation m, of the line and the difference quotient between any pair ofof the study of branches11 of continuous and smooth curves points. In the case of a straight line vertical changes, Δy, aredescribed by equations which was initiated in a pre-calculus or always the same multiple, m, of the corresponding horizontaladvanced algebra course. Functions are defined as the single changes, Δx, whether or not the changes are
quality of their teaching, assessments, or exam rigor. While part of my findingsindicates a focus on preventing cheating, much of the emphasis appears to also be place onvaluing the problem-solving process and progression over simply obtaining the correct finalanswer.Through various statements and grading practices, ID1 promoted an understanding-drivenassessment style that possibly nurtured student learning, comprehension, and growth in a mannerdistinct from traditional academic grading systems. This focus on process rather than outcomemay hint at an educational philosophy that values the underlying mechanics of problem-solvingas fundamental to mastering engineering principles. For example, ID1 awarded substantial creditfor showing the correct
walk:Expanding practitioner knowledge for racial justice in higher education. Hoboken, NJ: JohnWiley & Sons, 2020.[16] Thomas Aquinas, Summa theologiae, II-II, q. 47.[17] A.M. Mealey, P. Jarvis, J. Doherty, and J. Fook, eds, Everyday social justice andcitizenship: Perspectives for the 21st century. Oxfordshire, UK: Routledge, 2017.[18] S.L. Rodriguez and J. M. Blaney, “We’re the unicorns in STEM”: Understanding howacademic and social experiences influence sense of belonging for Latina undergraduatestudents," Journal of Diversity in Higher Education vol. 14, no. 3, 441-455, 2021.[19] A. H. Master and A. N. Meltzoff, "Cultural stereotypes and sense of belonging contribute togender gaps in STEM," Grantee Submission 12, no. 1, 152-198, 2020.[20] M.T.V
. Pinnell, "The Effectiveness of Engineering Camps as Pre-College Recruitment Tools," in 2019 CoNECD-The Collaborative Network for Engineering and Computing Diversity, Crystal City, Virginia, 2019: ASEE Conferences. [Online]. Available: https://peer.asee.org/31798[19] B. Mclaughlin and J. Wenner, "Recruitment Strategy Development for First Generation, Underrepresented, and Low-Income Masters Students," in 2022 ASEE Annual Conference & Exposition, Minneapolis, MN, 2022: ASEE Conferences. [Online]. Available: https://peer.asee.org/42068[20] Y. Ma, "Family Socioeconomic Status, Parental Involvement, and College Major Choices—Gender, Race/Ethnic, and Nativity Patterns," Sociological Perspectives, vol
conference (educon), IEEE, 2022, pp. 1814–1821.[42] S. Jothimani, S. Shruthi, E. Tharzanya, and S. Hemalatha, “Sign and machine language recognition for physically impaired individuals,” in 2022 3rd International Conference on Electronics and Sustainable Communication Systems (ICESC), IEEE, 2022, pp. 1483–1488.[43] Y. Liu, C. Lin, M. Wang, S. Liang, Z. Chen, and L. Chen, “End-to-end chinese lip-reading recognition based on multi-modal fusion,” in 2022 4th International Conference on Frontiers Technology of Information and Computer (ICFTIC), IEEE, 2022, pp. 794–801.[44] S. Cheemakurthi and M. Chen, “Master-asl: Sign language learning and assessment system,” in 2023 IEEE International Conference on Big Data (BigData), IEEE
, G., Monje-Paulson, L., & Zimmerman, H. B. (2015). Anatomy of an enduring gender gap: The evolution of women’s participation in computer science. Journal of Women and Minorities in Science and Engineering, 21(3), 229-249. https://doi.org/10.1615/JWomenMinorScienEng.201501293811. Master, A., Cheryan, S., & Meltzoff, A. N. (2016). Computing whether she belongs: Stereotypes undermine girls’ interest and sense of belonging in computer science. Journal of Educational Psychology, 108(3), 424-437. https://doi.org/10.1037/edu000006112. Lewis, C. M. (2011). Is pair programming more effective than other forms of collaboration for young students? Computer Science Education, 21(2), 105-134. https://doi.org/10.1080
programs and services for the Hispanic STEM community.Andrea D. Beattie, Society of Hispanic Professional Engineers, Inc. Andrea D. Beattie is a graduate from Texas A&M International University in Laredo, Texas, where she earned a Bachelor of Arts and Master of Arts in Political Science in 2011 and 2012, respectively. Currently she serves as Manager, Research and Impact at SHPE. In this role, she assists the organization with research, program evaluation, and data analytics.Dr. Kimberly D Douglas P.E., Society of Hispanic Professional Engineers, Inc. Over 25 years of experience as an engineering educator and administrator developing and funding programs for increasing the persistence and degree completion rates of STEM
Zone IV Conference Copyright © 2014, American Society for Engineering Education 190A/D converter on the microcontroller, detects if thieves attempt to torch the safe or freeze theelectronics.While implementing the system, students apply theory related to microcontrollers, buses,address decoding, interrupts, timers, general purpose I/O, digital design with an HDL, analogconversion, power regulation, and motors. Additionally, they develop or master severalpractical skills, including methodical debugging and problem solving, comprehension andgeneration of technical documents and schematics, prototyping (wire wrapping and soldering
legislation followed the recommendations of A Master Planfor Higher Education in California 1960 - 1975, whereby different functions were assigned to theUniversity of California, the CSU, and the California Community Colleges1. The CSU’sprimary mission was to prepare the state’s workforce through superior teaching and service tostudents. Research assumed a minor role. This mission was modified by a 1989 revision of theEducational Code acknowledging the centrality of scholarship, research and creative activity tothe CSU mission (CA 66010.4). This was followed by a 1997 Cornerstones Report2 thatidentified these faculty activities as essential components of the CSU teaching-centered mission.Finally in 2007, the Provosts of the CSU asserted the
andcontinue to master in the second year.Literature ReviewTo understand the role of problem-oriented pedagogies in the development of technical capital,this section reviews the literature about community college students characteristics, well-structured and ill-structured problems, and barriers that non-majority students face in STEMeducation.Community college students characteristics. Community colleges bring nontraditional studentsinto engineering, as over forty percent of all bachelor’s degree holders began their education inthese two-year institutions 7. However, the characteristics of community college students presentcertain challenges 10,11. Women, racial/ethnic minorities, and low income students are wellrepresented in community colleges, but