Likert scale from 1(least-liked) to 5 (most-liked). Page 23.1372.9 Table 1.0: Survey Results of PBL How do you rate the… On a scale of 1 to 5 Project helped you to apply current 2.35 (need more project activities) knowledge and adapt to emerging applications of mathematics, science, engineering, and technology. Project helped to identify, analyze, and 3.7 (best activity of the PBL) solve technical problems. Project helped to function effectively in 3.2 (working in teams was cool) teams. Project helped to conduct, analyze, and
- project award number P031C210043, Title III, Part F Department of Education grants. Bibliography[1] J. Dewey, Experience and Education, Macmillan, N.Y., 1939.[2] D. A. Kolb, Experiential Learning: Experience as the Source of Learning and Development, Prentice Hall, Englewood Cliffs, N.J., 1984.[3] S. Howe and J. Goldberg, Design Education Today: Engineering Capstone Design Education: Current Practices, Emerging Trends, and Successful Strategies, Springer, pp 115-148, 2019 https://doi.org/10.1007/978-3-030-17134-6_6[4] A. Shekar, “Project Based Learning in Engineering Design Education: Sharing Best Practices,” 2014 American Society for Engineering Education Annual Conference & Exposition Proceedings, Session
AC 2011-1755: DESIGNING AN AUV COMPETITION TO DRAW ENGI-NEERING STUDENTS TOWARDS OCEAN ENGINEERINGJames W Bales, Massachusetts Institute of Technology Dr. Bales was the inaugural Technical Director of ONR and AUVSI’s Autonomous Underwater Vehicle Competition. He is the Assistant Director at MIT’s Edgerton Center, a center dedicated to hands-on, project-based learning.Dr. David Novick, Sandia National Labs Page 22.440.1 c American Society for Engineering Education, 2011 Designing an AUV Competition to Draw Engineering Students Towards Ocean EngineeringThe First
State University in 2002, 2004, and 2007, respectively. Dr. Rhoads’ current research interests include the predictive design, analysis, and implementation of resonant micro/nanoelectromechanical systems (MEMS/NEMS) for use in chemical and biological sensing, electromechanical signal processing, and computing; the dynamics of parametrically-excited systems and coupled oscillators; the thermomechanics of energetic materials; additive manufacturing; and mechanics education. Dr. Rhoads is a Member of the American Society for Engineering Education (ASEE) and a Fellow of the American Society of Mechan- ical Engineers (ASME), where he serves on the Design Engineering Division’s Technical Committees
with theirpeculiar background, Java, Matlab, Maple, and Python may end up being 'best' for thatapplication (Shakib & Muqri, 2010).Actually, often, one will find that a mixture of a symbolic package, and a numeric package (orlibrary), with a little glue programming, will be best. This is because for advanced applications,one probably really wants to do 1. symbolic model manipulation 2. symbolic model simplification 3. numeric model simulation 4. code generation (for efficiency)Some experts have reported that the premise of Matlab is numerical computing. Depending onthe application, say if one just wants to numerically compute eigenvalues, inverses, ornumerically solve differential equations then probably Python is the way to go
bothcountries, hence, we need to be careful with the generalization of these findings. Similarly, we arenot accounting for cultural differences based on the locations of the institutions in both countries.However, we took several steps to assess the quality of the research. First, the study stands onprevious studies conducted by some of the authors [8], [14]. Second, content validity was discussedand determined by the researchers in consensus. Third, construct validity is addressed by using asurvey that has been proven to be an effective tool to assess the cultural dimensions of a group [6]for review and the authors even demonstrated its validity in academic settings [15].ResultsTable 1 shows the composition of the two samples by gender and race. Most
at the university (Appendix A) with the largestrepresentations from general engineering (28%), aerospace engineering (7%), and chemicalengineering (11%). From the 46 participants, we analyzed three reflective journals each for a total of 138student data sets. Student data consisted of course reflective journals due in weeks 10, 13, and 16of the fall 2017 semester. The journals were submitted through the course learning managementsystem and downloaded for analysis after the course commenced in December 2017.Data Analysis We used a grounded theory thematic process to interpret the narrative data (Charmaz,2009). This type of analysis is contingent on the types of coding skills and categories thatsurface from the narratives of
higher than the malestudents irrespective of the gender of the instructors. The survey questions for qualitative researchon the perception of success for female students are also included.1Assistant Professor, California State University, Fresno2Assistant Professor, California State University, Fresno 1 1. IntroductionLocated in the San Joaquin Valley of central California, Fresno State is home to about 25,000students. Being a state university, affordability is an important criterion for most students. Themajority of the students in engineering come from local high schools and maintain close ties withthe surrounding community. Recent reports
about their major and minor at university, and ifrespondents worked at a computer or IT-related job. We coded the responses to major/minor andjob as “persisting” or “not persisting,” using two different dependent variables in our analysis.One was Tech-persister (coded persister/non-persister) using the criteria: 1) majoring orminoring in computer science, information science, or any engineering field (or completing thesemajors) and/or 2) as working in a technical position in the workforce (based upon job title andcompany). We created this broad category because the program and its funders care about femalepersistence in a wide variety of computing-related fields; however, we know many stakeholdersin our research are exclusively interested in
participants were enrolled. Six of the participants tried to use a technique to determine the solution to the research question by using either a numerical or an integration technique that they know. These students’ used either Integration by Parts or series expansion of the integrand to determine the numerical value of the given integral. Figure 1: Written response of RP 3 Figure 2: Written response of RP 13 Figure 3: Written response of RP 17 Figure 4: Written response of RP 12 Figure 5: Written response of RP 5 Figure 6: Written response of RP 6The rest of the participants did not try to calculate the integral and
Engineering Education. c American Society for Engineering Education, 2019 Project REAP: Reaping the Benefits of High-stakes Assessment Frequency Boosters1. Introduction To help starting engineering students in properly preparing for their engineering careers,introductory engineering textbooks advise them to devote a minimum of two to three hours ofstudy for every lecture-hour they attend [1]. In such textbooks, the point is often made that inhigh school most learning takes place in the classroom, whereas in college most learning takesplace outside the classroom. This important point correlates with other studies based on cognitivepsychology, which point out that the
& General ResultsThe research question investigated in this work is designed to study senior undergraduate and graduatemathematics and engineering students’ strengths and weaknesses on Taylor and Maclaurin series. Exponentialfunction is chosen for ease of Taylor series expansion representations; Maclaurin and Taylor series representationsof the exponential function are provided to the participants. The finite or the infinite series representation of theexponential function centered at x = 0, 1, or 2 are the focus points of the research question. The APOS theoryclassification of the participants is determined by using all four parts (a)-(d) of the question. “Action” ability ofthe participants was measured in part (a) with their ability to
Group Canada, Ltd, independent professional services companies specializing in B2B electronic commerce and electronic data interchange. The EDI Group companies conducted syndicated market research, offered educational seminars and conferences and published The Journal of Electronic Commerce. He was also a Vice President at the First National Bank of Chicago [now J.P. Morgan Chase], where he founded and managed the bank’s market leading professional Cash Management Consulting Group, initiated the bank’s non-credit service product man- agement organization and profit center profitability programs and was instrumental in the breakthrough EDI/EFT payment system implemented by General Motors. Dr. Ferguson is a graduate of
of a C+ average, are U.S.Citizens or permanent residents, and Virginia residents. Students can attend only once and haveto be transported to the university by a family member or a legal guardian. Students stay on-campus from Sunday evening to Wednesday morning, sleep in dorms, eat in the dining halls,attend classes and work in the labs; in essence, they get to experience life as an on-campusundergraduate student. At the university BLAST sessions, there are two major workshopsessions and one special evening event that embeds the use of autonomous robotics ininstruction: 1) Satellites, Lasers, and Drones; 2) Robots in Hazardous Environments; and 3) It’s aBird, It’s a Plane, It’s a Drone.Satellites, Lasers, and Drones. This activity is led by
)] r40 + r4ω4 e(θ4 + 90) = r2ω2 e(θ2 + 90) + r3ω3 e(θ3 + 90) B --- (2) r2 e(θ2)LCE to line(θ4 + 90) is D0 = r2ω2 sin(θ2 - θ4) + r3ω3 sin(θ3 - θ4) --- (3) A r 1 e(θ 1)LCE to line(θ3 + 90) is Figure C. Vector Loops for ACr4ω4 sin(θ4 – θ3) = r2ω2 sin(θ2 - θ3) ---- (4)ω3 and ω4 can be directly computed from (3) and (4).5. Simplified Integrated Methods of Solution (SIMS)Traditional set of equations ΣX = 0, ΣY = 0 and ΣM = 0, for a general 2D system willsometimes result in nonlinear and
in the field of engineering. PBL has long been shown to be an effectivemethod for student learning and understanding, particularly if thoughtfully integrated throughoutthe curriculum [1] and if instructors include key features, such as meaningful inquiries,scaffolded assignments, and consistent feedback [2]. Other studies have shown that PBL is moreeffective in deeper retention of material, satisfaction of both students and professors, anddevelopment of professional skills than traditional lecture methods [3]. However, the overalleffectiveness of PBL, and experiential learning in general, may vary widely depending on thenature and structure of the teamwork [4].This study was conducted at the branch campus of Texas A&M University
, cultural, social, environmental, and economic factors” and (6) “anability to develop and conduct appropriate experimentation, analyze and interpret data, and useengineering judgment to draw conclusions”. The senior design project can serve as an excellentculminating experience in the program of study when it focuses on research and design projectsthat have practical value to consumers or to industry. For the Engineering Technology Departmentat Drexel University, the senior design course is a year-long educational journey (three quarters)that takes an idea generated by a student or an industrial sponsor and culminates in a product orproject. This course is an excellent capstone experience, which requires both teamwork andindividual skills in
non-credit service product man- agement organization and profit center profitability programs and was instrumental in the breakthrough EDI/EFT payment system implemented by General Motors. Dr. Ferguson is a graduate of Notre Dame, Stanford and Purdue Universities, a special edition editor of the Journal of Engineering Entrepreneurship and a member of Tau Beta Pi.Dr. Matthew W. Ohland, Purdue University Matthew W. Ohland is Professor of Engineering Education at Purdue University. He has degrees from Swarthmore College, Rensselaer Polytechnic Institute, and the University of Florida. His research on the longitudinal study of engineering students, team assignment, peer evaluation, and active and collaborative
. 2, no. 4, pp. 1–17, Oct. 1997.[2] R. B. Guay, “Purdue Spatial Visualization Test: Rotations,” 1977.[3] M. Jou and J. Wang, “Investigation of effects of virtual reality environments on learning performance of technical skills,” Comput. Human Behav., vol. 29, no. 2, pp. 433–438, 2013.[4] S. Gregory et al., “Virtual worlds in Australian and New Zealand higher education: Remembering the past, Understanding the present and imagining the future,” 30th Annu. Conf. Aust. Soc. Comput. Learn. Tert. Educ. ASCILITE 2013, no. December, pp. 312–324, 2013.[5] A.-H. G. Abulrub, A. Attridge, and M. A. Williams, “Virtual Reality in Engineering Education: The Future of Creative Learning,” Glob. Eng. Educ. Conf., pp. 751
, Virginia Tech Dr. Walter Lee is an assistant professor in the Department of Engineering Education and the assistant director for research in the Center for the Enhancement of Engineering Diversity (CEED), both at Virginia Tech. His research interests include co-curricular support, student success and retention, and diversity. Lee received his Ph.D in engineering education from Virginia Tech, his M.S. in industrial & systems engineering from Virginia Tech, and his B.S. in industrial engineering from Clemson University.Dr. Jeremi S London, Virginia Polytechnic Institute and State university Dr. Jeremi London is an Assistant Professor in the Engineering Education Department at Virginia Poly- technic Institute and State
mechanicalengineering programs, in most instances, without demonstrating the connection of concepts andapplications [1-3]. Most undergraduate curricula of mechanical engineering programs emphasizehow well students can solve textbook questions of a single topic, without deeply understandingthe connection between various courses and fundamental engineering concepts. Althoughengineering curricula are well-designed and highly structured, a few research studies have reportedthat students who successfully completed the engineering education still faced challenges duringthe college to career transition [4, 5].In the last two decades, significant efforts have been focused on the development, implementation,and application of novel additive manufacturing technologies
with common, everyday ethicalchallenges. We suggest that students would profit immensely from learning why (otherwise)well-intentioned people fail to live up to their own moral commitments and/or the ethicalrequirements of their professions. And after teaching students about this last, we believe studentsshould be provided a set of tools, an ethical toolbox if you will, they can use to decrease thelikelihood that they will make ethical errors in the future. Most (perhaps all) professional ethicsclasses and textbooks neglect to provide students with these tools.1# (Note: We do not claim thatlearning ethical theory is unnecessary or ought to be eliminated. In fact, we believe ethical theoryis important. However, learning about ethical theory
-dimensional arrays transformed by MFCC areused as input, passing through three hidden layers. We use Rectified Linear function (ReLU) asthe activation function, ReLU(z) = max(0, z) (2)and the Sigmoid function as the output function to generate the binary prediction. 1 (3) 𝜎(𝑥) = 1 + 𝑒 −𝑥The third model is called Long Short-Term Memory Networks (LSTM), a special kind of recurrentneural networks (RNN). This model can overcome limitations in traditional RNNs such asvanishing and exploding
attended the onsite sessions at Institut Teknologi SepuluhNopember (ITS) Indonesia, engaging in face-to-face lectures and local community field studies.Those unable to travel continued participation online.Through an interdisciplinary approach [2], the programs and courses aligned with the 21stCentury Imperative [3] as well as the Washington Accord 11 Global Attribute Profiles(WA11GAP) defined by The International Engineering Alliance (IEA) [4]. This article exploresstrategies for encouraging engineering students to participate in mobility programs fosteringglobal competence and Asian pride. In addition, the learning outcomes are assessed based onWA11GAP criteria.1. Background to start of Virtual/Hybrid programs, and program outlinesMobility
. Nonetheless, the Super Starter Kit we usefits our needs.As shown in Fig. 1, the kit contains many hardware components which are listed in theAppendix. The kit also comes with lessons and all the corresponding Arduino sketches and .ZIPlibraries. Fig. 2 shows the table of content of the lesson file.2.1 Short Arduino tutorialArduino has been very popular among hobbyists and has been used in extracurricular activities atsome high schools. However, most of our students fall into at least one of the followingcategories: minority, underrepresented, first-generation, and nontraditional. As a result, most ofthem have no experience with Arduino when taking this course. For the small percentage ofstudents who have used Arduino before, their experience is very
Mechatronics Actuator Education Platform for Active Learning CurriculumAbstractThis paper discusses the design and construction of a multi-actuator, open-source educationplatform to enhance undergraduate mechatronics laboratory curriculum experience in the topicarea of actuator technologies. Utilizing hands-on learning as the primary pedagogical approach,students gain applied knowledge in mechatronics by fostering the development of criticalengineering skills. The proposed laboratory curriculum encompasses an all-in-one mechatronicsactuator test platform for the study of fundamental actuator technologies, including a directcurrent brushed motor, stepper, and radio control servo motor that is generally taught in anundergraduate mechatronics
to three o’clock.There are two main components of the course: the lecture where the students learn many topicspertaining to facilities design, and the project where students apply the facilities topics and manyother subjects learned throughout their curriculum. The class time is split fairly evenly betweenthe project and the lecture. With much of the lecture front loaded and the project back loaded.This works well as the students have a complete background on facilities planning during thefirst part of the course and can spend many hours on the project near the end. Students are gradedon their performance on a final exam and on the project. Below (Table 1) are the learning
by intrinsic motivation to learn, time management skills, and technicalcompetency. These findings support traditional definitions of online learning readiness, whichidentify student attributes, time management, communication competencies, and technical skillsas imperative constructs in preparing students to pursue courses in the online platform 10. In fact,successful online learners exhibit attributes of greater self-awareness of needs, feelingsmanagement, self-regulation skills, self-discipline, time management, organization, planning,self-evaluating, reflective/visual learning styles, and internal locus of control 11.Students who exhibit an internal locus of control tend to possess motivation and self-management, often outperforming
institutions have turned to study abroadprograms. These programs have taken critical steps in marketing and depicting study abroadexperiences in ways that attract students. However, minimal research has given attention to themarketing and promotion of study abroad programs. In this study, using content analysis, weassessed how engineering programs are presented to students as consumers using materials fromfour Research 1 Universities websites. Our purpose was to identify how internationalengineering program websites’ content depict and market study abroad programs. Our resultsshow depending on destinations, study abroad programs are more or less likely to beengineering-driven.Keywords: Engineering, Global Engineering, Study Abroad, International
could be used not only in EEG studies, but also for demonstrations in coursesor other educational purposes. One of the ways that EEGs have been used in educational studies is in the assessment ofstudents’ attention. The results of these experiments could be used to provide feedback toinstructors during remote learning activities, or to test the efficacy of new teaching methods.EEG signals can be divided into 5 frequency domains: delta (0.5 – 4Hz), theta (4 – 8Hz), alpha(8 – 14Hz), beta (14 – 30Hz), and gamma waves (> 30Hz). Ko et al. [1], Talalay et al. [2] andRihs et al. [3] were able to demonstrate that measurable changes in brain wave patterns occurduring periods of attention. Ko showed that during sustained attention tasks