Conf., Salt Lake City.2. MUPEC 2004 conference website, www.rose-hulman.edu/MUPEC2004/RICHARD A. LAYTONRichard Layton received his Ph.D. from the University of Washington in 1995 and is currently an AssistantProfessor of Mechanical Engineering at Rose-Hulman Institute of Technology. His interests include student teambuilding and laboratory curriculum development. Prior to his academic career, Dr. Layton worked for twelve years Page 10.1373.10in consulting engineering, culminating as a group head and a project manager. Proceedings of the 2005 American Society for Engineering Education Annual Conference & Exposition
organization on the curriculum for undergraduate students. He is also organize two contests in Southeast University.Dr. rong wang, Southeast University Rong Wang was born in 1976. She received her BS, MS and PhD degrees in School of Information Science and Engineering in 1998, 2001 and 2008, respectively, from Southeast University, China. Since 2001, she has been with the School of Information Science and Engineering, Southeast University. Her research interests are RF and mixed-signal integrated circuits design.Dr. Shen Xu, Southeast University, China Shen Xu received the B.S. and Ph.D. degree in electronics engineering from Southeast University, Nan- jing, China, in 2002 and 2011, respectively. He joined the School of
consequences (vicarious reinforcement). ● Learning involves observation, information extraction, and decision-making, ● Learning is an active interaction where cognition, environment, and behavior mutually influence each other (reciprocal determinism).Social learning theory using the 3C Model:This study incorporates the 3C model of social learning [13] and it is defined as Content,Connection, and Collaboration. In the learning field, content creation is crucial to achieve preciselearning. Instructors should create content by setting learning objectives for effective training[14]. The integration of a social learning aspect requires the instructors to clearly state thedesired learning outcomes while concurrently establishing a
Paper ID #44080Work in Progress: An ”Engineering for Everyone” Class that IncorporatesModeling, Simulation, and Biomimicry into the Engineering Design ProcessDr. Richard Goldberg, University of North Carolina Richard Goldberg is a Teaching Associate Professor and Director of Undergraduate Studies in the Department of Applied Physical Sciences at UNC Chapel Hill. He is developing a new interdisciplinary engineering minor and major at UNC. He is interested in integrating engineering with the liberal arts and an entrepreneurial mindset. He teaches a variety of classes for first year students, seniors, and everyone in between
learning attitudes about science survey,” Proceedings of the 2004 Physics Education Research Conference, AIP Proc, No. 790 (2004). 7. McDermott, Lillian C. and Redish, Edward F. "Resource Letter: PER-1: Physics Education Research". American Journal of Physics 67 (9): 755–767 (1999). 8. Beichner, R., Bernold, L., Burniston, E., Dail, P., Felder, R., Gastineau, J., Gjertsen, M. and Risley, J. “ Activity based collaborative study. Case study of the physics component of an integrated curriculum,” Phys. Educ. Res., Am. J. Phys. Suppl. 67 -74 (1999). 9. Henderson, C, and Dancy, M. H. “ Impact of physics education research on the teaching of introductory quantitative physics in the United States
Session 3532 An Embedded DSP Development System for Teaching Real-Time Interfacing Michael G. Morrow United States Naval AcademyI. IntroductionHistorically, microcomputer interfacing has been taught using relatively low-performance 8 bitsystems. While this generally provided students with a simple architecture and instruction set, italso presented serious limitations, particularly in obtaining real-time operation. To overcome thisperformance shortfall, the Texas Instruments TMS320C31 DSP Starter Kit (DSK) will be usedas the engine for new
technical rigor and DEI mutuallyenrich each other. It is worth emphasizing that the approaches detailed herein are meant tocomplement (not replace) the two broad categories of DEI practices described above.The central questions that motivate this work are: (1) “How can technical rigor and DEIprinciples be deeply integrated within an undergraduate computational science curriculum?”; and(2) “How does this integration affect students’ sense of inclusion, beliefs about their technicalmastery, and overall learning experience?”Before continuing, it is worth briefly noting that controversy exists around the phrase “technicalrigor”; in particular, this phrase has at times been used in engineering education to reinforceperverse dichotomies and justify
approach in a high school setting would develop his/herdesign mindset readily when compared to problems provided in a traditional textbook. Forexample, take the basketball throwing example in Chapter 3 of Coletta (Physics FundamentalsPhysics Curriculum & Instruction; 2nd edition 2010)) and ask how to launch a food packageonto a third floor balcony in a street flooding situation. A displayed trend on a graph of locationversus angle or speed would demonstrate an understanding of the projectile motion knowledge.A subsequent imposition of a constraint on the food delivery boat such as oscillatory water levelwould require an iterated design with some appropriate assumptions. Another example would bethe L-shape arm bio-mechanical model where a
asmartphone.The purpose of this communication is to describe the development and implementation of a laboratoryexercise to allow students to (1) use smartphones to collect kinematic data during a routine activity(driving an automobile), and (2) compare acceleration values measured using the on-board accelerometerwith acceleration values calculated from position and velocity data collected using the on-board assistedglobal positioning system (A-GPS).Materials and Methods - Smartphone Application Development and Data CollectionThe smartphone application was developed using the XCode 5 integrated development environment forApple mobile devices. When the application is activated, the smartphone’s built-in A-GPS is used toobtain position and velocity data
into the curriculum as an engaged learning activity, for which she was awarded an ASME Graduate Teacher Fellowship.Dr. Jae-Eun Russell, Dr. Russell serves as the Associate Director for the Office of Teaching, Learning & Technology at the University of Iowa. She completed her Ph.D. in Educational Psychology from the University of Iowa. Her research examines instructional practices that support successful student learning. Her research also in- volves autonomous motivation, self-regulated learning, technology adoption, and learning analytics adop- tion. ©American Society for Engineering Education, 2023Abstract:Current research documents the notable advantages active learning methods like
work and find classes tobe more useful [3]. ESE is also integral for the entry into engineering programs and thepersistence to continue [4]. EJ is an individual’s capacity to determine and execute tasks that willhave a predicted outcome [5, 6]. When engineers work in the real world, many times projectswill require the engineer to come up with solutions which cannot be found inside of codes ormanuals. When following a structural engineering firm, the engineers were able to analyzebuilding plans and make changes to designs based on previous knowledge [7]. An engineer maybe an expert when using codes and references but cannot be a competent engineer if lacking EJ[8]. During an engineering student’s curriculum, EJ should be developed incrementally
and Associate Provost in Hawaii; a College Director in Abu Dhabi, UAE; an Associate Professor and Assistant Provost in northern California; and an Assistant Professor and Director of Faculty Development in Florida. He has authored a textbook, an an- thology and published over 130 academic articles as well as offered hundreds of academic presentations. He has earned a B.S. in Oceanography from Florida Institute of Technology; an M.S. in Environmen- tal Engineering Sciences and a Ph.D. in Science Education from the University of Florida. Dr. Hargis’ research agenda focuses on how people learn while integrating appropriate, relevant and meaningful in- structional technologies. c American
addressed in the Resultssection.Figures 4 and 5 from 2008 show a great deal of quantization staircasing and the poor altituderesolution. The third and fifth columns of plots in Figure 6 are the sensor data from theaccelerometers and rate gyros from a 2008 flight. The plot in the third column on the third row isthe built-in accelerometer on the R-DAS. It shows severe quantization noise. The otheraccelerometer and rate gyro plots show much less stairstepping due to careful attention to scalingthe signals for the 10-bit ADC. The other plots on Figure 6 are axial position, velocity, androtation angle calculated by numerically integrating the data. While the curves are smoother, theoffset integration errors are unacceptably large. The flight reached an
materials--students learn simple models that require many assumptions to use. Asstudents advance in their studies and specialize, the models become more complex as fewerassumptions are made.Engineering science courses are typically taught with a lecture-based pedagogy and assignstudents sets of homework problems to engage them in practicing the course material outside ofclass time. Problem sets usually comprise problems from the course textbook or are written bythe professor. Although the number and length of problem sets varies by instructor, a problem settypically takes several hours of work (and in the U.S., a 3-credit-hour 12-week undergraduatecourse assumes 6 hours per week of out-of-class work). In an undergraduate curriculum, studentsare
c American Society for Engineering Education, 2012 Engineering Teaching Kits, Experiments, and Demonstrations as Part of Workshops for Teachers to Facilitate Learning of Science and EngineeringAbstractAlimentos Divertidos is an inquiry-based science and engineering program for P-12 students1-3.To promote our experiments, demonstrations, engineering teaching kits (ETKs), and to furtherencourage their implementation in P-12 schools, our faculty presented several workshops4 at theYucatan peninsula, where P-12 teachers performed and learned how to teach more than tenexperiments and demonstrations as part of two ETKs entitled Racing Cars and Under Pressure5.Most teachers agreed that the experiments
Session 0458 An Off-the-Shelf Approach to Remote Process Control Mark Smith Purdue University North CentralAbstractThis workshop presents remote process control over the Internet using remote-control computingsoftware. Remote-control computing software allows you to connect to remote computers fromyour computer and control those systems. You can monitor and control attached systemprocesses, provide problem solving assistance, upload and download files, and even changesystem parameters. In this session, participants will gain an understanding of what remote-control
’ communicationskills, the findings also highlight how storytelling can foster empathy. This work is of interest toadministrators and faculty looking to integrate different approaches to facilitate personal andprofessional growth and the expansion of empathy across engineering fields and in society.1 IntroductionWhile engineering is often focused on cultivating technical knowledge, competencies such ascommunication can also be important for students’ personal and professional growth. Along theselines, storytelling is considered valuable for students’ development and for the role it can play inpromoting an open dialogue with others [1]. It can encourage critical reflection and inquiry intoan individual’s lived experiences and can help to construct identity [2
Observation Protocol (RTOP) and his work has been cited more than 2200 times and he has been published in multiple peer-reviewed journals such as Science Education and the Journal of Research in Science Teaching.Dr. Lindy Hamilton Mayled, Arizona State University Lindy Hamilton Mayled is the Director of Instructional Effectiveness for the Fulton Schools of Engineer- ing at Arizona State University. She has a PhD in Psychology of Learning, Education, and Technology and her research and areas of interest are in improving educational outcomes for STEM students through the integration of active learning and technology-enabled frequent feedback.Prof. Robert J Culbertson, Arizona State University Robert J. Culbertson is an
can be used to make course and program improvements.Model for AssessmentLast year, we presented a model for assessment that describes what data to gather, where toobtain the data, what criteria may be most appropriate when interpreting the data, how to use theresults to make improvements in program and how to document the process.1 The present paperillustrates how that model can be implemented to assess the E101 Introduction to Engineering andProblem -Solving course. The assessment model can be summarized into four major steps: Step 1: Defining program mission, objectives, and outcomes; Step 2: Developing an assessment plan to assess the program objectives and outcomes with linkages to curriculum issues and
engineering students enrolled in anexperimental multi-disciplinary program described the impact of key program elements on howthey experienced failure, perceived risk, and embraced learning as an iterative process. In thisproblem-based, hands-on and mastery-assessed program, students iterated and worked throughfailure as part of their learning process. These real-world applications and projects wereinherently multidisciplinary, because they challenged students to draw on and integrate theirmastery of essential course outcomes related to physics, statics, calculus 3 and circuits. Thispilot was too small to support generalizable inferences, but preliminary findings point to keyprogram elements for future research exploring how the participants
associated with the formation in an integrated way. Withinthis type of literature, the student perspective is typically treated as a static or predictive outcomefor success/persistence or failure/attrition in computing, for example [15], [16], [30]. We add tothis pathway literature by broadening the range of student information to consider knowledge,interest, and perspectives on their career pathways, and we treat the student perspective data as adependent variable of interest rather than a predictive variable, similar to [1], [17], [31]. Thisintegrated ecosystem and pathways operationalization allows us to respect and value theperspective of students while also considering how the student perspective on computing careersmight be limited or naïve
Paper ID #7390Use of Multimedia Case Studies in an Introductory Engineering Course atTwo Southeastern Universities: A Qualitative Evaluation StudyMs. Kimberly C. Huett, University of West Georgia Kim C. Huett is an instructor of technology integration at the University of West Georgia in Carrollton, Georgia. She holds an Ed.S. in Instructional Technology, an M.S. in Secondary Education, and B.A. degrees in English and Spanish from the University of Texas at Austin. Currently a doctoral student in School Improvement, Kim’s research interests include the design of distance learning environments, teacher education, and STEM
Paper ID #38339Preparing Rural Middle School Teachers to Implement anEngineering Design Elective Course: A Just-In-TimeProfessional Development ApproachTameshia Ballard Baldwin (Teaching Assistant Professor)Callie Edwards Dr. Callie Edwards is an experienced educational researcher and program evaluator. For a decade, she has studied, partnered with, and advocated for historically underrepresented and underserved populations in health, education, and science, technology, engineering, and mathematics (STEM) fields, such as women, communities of color, individuals who experience low-income backgrounds, and those who are
Paper ID #36823Student Perception of Virtual Collaboration Environments onTeaming Success in an Online Project-Based First-YearEngineering Design CourseHenry Axel Claesson Mechanical Engineering StudentRobert Daniel Hodge Senior studying Industrial and Systems Engineering at Virginia Tech.Eunsil Lee (Visiting Assistant Professor)David Gray David Gray is an Associate Professor of Practice in the Engineering Education Department at Virginia Tech. David is currently serving as the Assistant Department Head for Undergraduate Programs. Dr. Gray teaches in a two-sequence Foundations of Engineering course, several
are drawn to engineering when theysee its potential for improving peoples’ lives and by integration of the social values that youngwomen care about with the emphasis on important and unique contributions to individuals and tothe overall society [6, 7]. Although many researchers point out that outreach as early as middleschool is important in embedding the idea that anyone can be an engineer, many universities donot offer many outreach programs to this age group because of the inexperience withage-appropriate pedagogy, risk management issues, and unknown benefits to the institution inrelation to the limited resources available [8]. Longitudinal studies suggest that special focus hasto be placed on generational aspects of Generation Y, and
Paper ID #30346WIP: Validating a Motivated Strategies for Learning Questionnaire (MSLQ)in an Active, Blended, and Collaborative (ABC) Dynamics LearningEnvironmentMs. Wonki Lee, Purdue University-Main Campus, West Lafayette (College of Engineering) Wonki Lee is pursuing Ph.D. in Education, Curriculum Instruction, Language and Literacy program at Purdue University. She received her bachelors and masters, specializing Korean language education as second/foreign language from Seoul National University, South Korea. Prior her doctoral studies in United States, she worked as a Korean teacher for 6 years and pursued her Ph.D. in
newsletter editor. Dr. Cooper’s research interests include effective teaching, conceptual and inductive learning, integrating writing and speaking into the curriculum and professional ethics. c American Society for Engineering Education, 2017No More Death By PowerPoint! Using an Alternative Presentation Model in a ChE Unit Operations Laboratory Course1. IntroductionIt is well-known that effective oral communication skills are critical to the success of chemicalengineering (ChE) graduates in the modern workplace1–8. With this in mind it is important thatChE instructors provide their students with numerous opportunities to practice oralcommunication skills through in-class presentations. However
an important consideration in qualitative research efforts, as itserves as evidence of the integrity of research findings19, 20. There are various ways to establishtrustworthiness, and Creswell (2012)15 recommends using at least two in each study. We usedtriangulation (multiple investigators/coders analyzed the data) and peer examination (a peer whowas not involved in coding examined the meanings and interpretations that were applied to andemerged from the data) to establish trustworthiness19.Results and DiscussionThe primary purpose of this study was to describe the learning experience in a large Mechanicscourse from the students’ point of view, and to see how it aligns with perceptions expressed byfaculty who taught some of the courses
Paper ID #16014An Expanded Study to Assess the Effect of Online Homework on StudentLearning in a First Circuits CourseDr. Katie Evans, Louisiana Tech University Dr. Katie Evans is the Walter Koss Endowed Associate Professor of Mathematics and Statistics and the Academic Director of Mathematics and Statistics and Industrial Engineering programs. She is the Di- rector of the Integrated STEM Education Research Center (ISERC) and the Director of Louisiana Tech’s Office for Women in Science and Engineering (OWISE). She earned her Ph.D. in Mathematics and M.S. in Mathematics at Virginia Tech, Blacksburg, VA. Her research
, andproject development of the participants. This paper will also focus on the continued use of remote internshipsand experiential opportunities as a High Impact Practice to engage students at an urban commuter universityacross all majors.BackgroundHigh Impact Practices (HIPs) have been shown to be effective in retention, persistence, and overall studentsuccess [1-5]. These practices include activities such as undergraduate research, service learning, experientiallearning opportunities, internships, study abroad, collaborative projects and writing intensive courses. Theseactivities have been found to be very beneficial for underrepresented students. Institutional resources,curriculums and student body demographics limit the effectiveness of the