automated equipment.Dr. Wesley L. Stone, Western Carolina University Dr. Wes Stone is an associate professor in the School of Engineering and Technology at Western Carolina University in Cullowhee, NC. He earned his bachelors degree from the University of Texas at Austin, masters degree from Penn State, and PhD from Georgia Tech, all in Mechanical Engineering. His research interests include manufacturing processes, quality techniques, and outdoor equipment design/testing. He also serves as the program director for Engineering Technology at WCU. c American Society for Engineering Education, 2017 IMPACT OF CLASS SIZE ON STUDENT PERCEPTION OF LEARNING AND LEARNING OUTCOMES IN PROJECT
, completing her Masters and PhD in Bioengineering at The Pennsylvania State University. At Penn State Breigh worked in the Artificial Heart Lab, her research focused on studying the biofluid mechanics associated with the development of a pediatric ventricular assist device. After completing her PhD in 2010, Breigh came to Arizona State University to work as a post doc in the Image Processing Applications Lab. In 2013 she became a Teaching Assistant Professor in the Department of Mechanical and Materials Engineering at the University of Denver. Here Breigh teaches courses in the fields of thermodynamics, fluid mechanics, heat transfer, biofluids, and introduction to engineering. Her educational research interests include
ECSU. His areas of interests include embedded systems design, cloud instrumentation, remote computing applications, UAS applications re- search, mobile robotics, and innovative uses of educational technologies. Dr. Rawat may be reached at ksrawat@ecsu.edu.Ms. Robin R. Mangham, Elizabeth City State University ROBIN R. MANGHAM is currently a lecturer in the Aviation Science Program at Elizabeth City State University (ECSU). She earned a Master of Aeronautical Science from Embry Riddle Aeronautical Uni- versity in 2012. Areas of interest include education technology, human factors in aviation, and unmanned aircraft applications research. Ms. Mangham may be reached at rrmangham@ecsu.edu.Cmdr. Orestes Devino Gooden
Homework ProjectOne might say that these exercises are not necessary since the today’s students are familiar withthe Excel software. This is indeed the case for some, but many of our students do havedifficulties mastering the Excel software, such as working with the equation editor, using thestatistical functions, and presenting the data in a professional matter. These deficiencies becomevisible in the more advanced MET courses in which the students are asked to perform hands-onexperiments, collect data, interpret data, and compare to numerically obtained values by applyingthe theory.Method 2: In Fall 2016, the authors began to implement a new way of teaching students how touse Excel. As before, only two lectures were dedicated to this topic
manufacturing, automation control, and remote control systems. Dr. You may be reached at youy@ohio.edu.Dr. Neil Littell, Ohio University Dr. W. Neil Littell is an Assistant Professor at Ohio University within the Russ College of Engineering in the department of Engineering Technology and Management. Dr. Littell earned a Doctorate of Phi- losophy in Instructional Systems and Workforce Development (2013) from Mississippi State University. Dr. Littell also received a Masters in Technology from Mississippi State University (2005). Addition- ally, he holds Bachelor of Science degrees in both Industrial Technology and Trade and Technical Studies from Mississippi State University (2004). Dr. Littell also has an Associate of
aspect ofthe DOE lab was a contributing factor.The students’ working vocabulary had improved over past semesters, based on their lab reportsand on their average score of over 80% on the vocabulary assignment, but many students stillreverted to the colloquial (i.e. interchangeable) uses of the terms “precision” and “accuracy,” forexample. Nevertheless, this portion of the course will remain while other aspects are improved.bResidual: the difference between the modeled and observed values at a given setting.Future ChangesThe main drawback of the new implementation is that several of the experiments becameoverstuffed with concepts and requirements. Mastering the new content requires time andattention, and the experiments were not adequately
students to master topics in small subsets rather than cramming immediately before anexam. It has been demonstrated that shorter problem sets with frequent feedback improves theefficacy of homework [12]. The Assignment-Quiz framework provides feedback in a variety offorms. Students quickly identify areas where additional study is required as the timed setting ofthe quiz offers a perspective to their level of understanding. Exposure to cadence required tocomplete the problem is another mode of feedback. Students gain understanding of timeframerequired to complete problem in an exam setting.Improving student engagement with the material and course resources were primary motivatorsin the development this frequent quiz-based paradigm. Given the
based oncomplexity. This rating was used to indicate the need for repetition. Higher complexity ratingstranslate to more frequent repetition intended to provide students with more opportunities toengage with and eventually master complex ideas. Repetition called for the creation of multipleassignments for each of the more complex concepts and skills as well as assignments with built-in variations. See Appendix 1 for the full list of concepts and skills with connections to genericresearch process steps and complexity ratings.Assignment design and operationalizationFollowing the identification and classification of IL concepts and skills described in the previoussection, relevant assignments were designed. Each assignment was intended to address
his bachelors degree from the University of Texas at Austin, masters degree from Penn State, and PhD from Georgia Tech, all in Mechanical Engineering. His research interests include manufacturing processes, quality techniques, and outdoor recreation gear design/testing. He also serves as the program director for Engineering Technology at WCU.Prof. Sudhir Kaul, Western Carolina University Dr. Kaul is an Associate Professor of Mechanical Engineering at Western Carolina University. His re- search interests include Fracture Diagnostics, Structural Dynamics and Control, and Motorcycle Dynam- ics. c American Society for Engineering Education, 2017 Integration of Engineering Theory and Practice
requires them to review concepts mastered throughout the course. Relating the problem tosomething that the student experiences on a day-to-day basis enhances the utility of the problem.This paper provides an overview of one such problem, an energy balance for an e-cigarettedevice.The mass and energy balance course is the first department-specific course to which chemicalengineers are exposed. The range of topics covered is quite broad and bridges to gap betweenbasic calculations introduced in freshman chemistry and physics courses to the fundamentalchemical engineering design equations that will be further pursued in the chemical engineeringcurriculum. The mass and energy balance course is often divided into two parts, per the coursetitle, with
arithmetic operations applications in Robust Control, Image Processing, and Bio- medical Signal Processing etc. He has published 40 papers in National/International Conferences/Journals and he has Co-authored two books. He is Member of IEEE and life member of ISTEMr. Dharmaraj Rajaram Patil, R. C. Patel Institute of Technology, Shirpur, India Dharmaraj Rajaram Patil has completed his master of engineering in computer science & engineering, Government College of Engineering, Aurangabad, Maharashtra, India in 2010 and pursuing his Ph.D. in computer engineering from North Maharashtra University, Jalgaon, Maharashtra, India. He is working as an assistant professor in the Information Technology Department at R.C. Patel
. She works with ASCE’s Committee on Education on issues of importance to the undergraduate and grad- uate level education of civil engineers.Dr. Brock E. Barry PE, U.S. Military Academy Dr. Brock E. Barry, P.E. is an Associate Professor and Mechanics Group Director in the Department of Civil & Mechanical Engineering at the United States Military Academy, West Point, New York. Dr. Barry holds a Bachelor of Science degree from Rochester Institute of Technology, a Master of Science degree from University of Colorado at Boulder, and a PhD from Purdue University. Prior to pursuing a career in academics, Dr. Barry spent 10-years as a senior geotechnical engineer and project manager on projects throughout the United
Fall 16 MATERIALFigure 4. Distribution of incorrect response percentage for MET 213 Dynamics, by material overthe 6-semester evaluation period.DiscussionThe MET Senior Assessment Exam is the culmination of all the core MET program courses inone single examination. Not only does it double as a tool to test outgoing seniors to ensure theyhave mastered the necessary skills and knowledge that they will need as graduates, but itprovides inputs into the MET program continuous process improvement plan. The timeconsumed in the actual analysis was relatively small when compared to processing the raw scoredata into a usable form. The raw data is received in the form of a pdf file that is then manuallyconverted
compiled anonymous survey results. Wherever numerical measures werenot inherent, we categorized the different types of responses (e.g., in response to “Did thisproject help prepare you for the final exam?” we scored each response as Yes or No) and thencounted the number of responses in each category. We also compared the final exam gradesbetween the two groups. The final examwas an accumulative exam designed toassess students’ ability to master thecourse outcomes including, • Understanding the use of logical operators, logical functions, and control structures in MA TLAB • Utilizing special features of MATLAB including matrix calculations, plotting functions, symbolic toolbox, numerical integrations and
emotions and attitudes”, “innovation andchallenge ability”, “self-value shaping ability”, as shown in Table 2.① The deleted items are as follows: being able to assist other members to work together; having curiosity; showing oneself or theteam; being able to quickly master the knowledge and skills taught by experienced engineers; being able to perform tasksarranged by superiors or team leaders, etc.; being flexible when in trouble. Table 2 Factor Analysis Results of Engineer General Ability Average Score ofMeasurement Item Factor Load Factor Name the Item (SD)Having strong political
Murzi, Virginia Tech Homero Murzi is an Assistant Professor in the Department of Engineering Education at Virginia Tech. He holds degrees in Industrial Engineering (BS, MS), Master of Business Administration (MBA) and in Engineering Education (PhD). Homero has 15 years of international experience working in industry and academia. His research focuses on contemporary and inclusive pedagogical practices, industry-driven competency development in engineering, and understanding the barriers that Latinx and Native Americans have in engineering. Homero has been recognized as a Diggs scholar, a Graduate Academy for Teaching Excellence fellow, a Diversity scholar, a Fulbright scholar and was inducted in the Bouchet Honor
operations. The drawback is that asa new programmer, you may find it difficult to master quickly. It is still used extensively inoperating system architecture. Systems including UNIX (and Linux derivatives) rely on C/C++ formany functions.(e)-MultisimFor digital, and electronics courses such as DC, AC, and Devices, MultiSim software could beused. Simulators are software packages used to virtually test a circuit’s operation to verify thedesign. Simulation is necessary to avoid costly mistakes in the design and fabrication of circuits.Typically, circuits do not work as designed. A period of troubleshooting is usually required to findand correct errors. If this is done with physical labor, hardware, time, and money are lost sincechanges require
previously. His research interests include Mixed-signal/RF circuit design and testing, measurement automation, environmental & biomedical data measurement, and educational robotics development.Mr. Rogelio Casas Jr, Texas A&M University Rogelio Casas Jr. was an ESET student at Texas A&M University and graduated in the Fall of 2018. He was the Project Manager throughout the project and is currently working at General Motors in Austin, Texas as a Software Developer. He plans on continuing his education through hands-on training and a potential Masters in Computer Science.Mr. David Anthony Cervantes David Cervantes graduated with a B.S degree in Electronic Systems Engineering Technology from Texas A&M
uncover and address misunderstandings 4.3 4.3 4.1 Worked examples Teacher clarifies the learning objective, then demonstrates what students need 4.3 4.5 4.2 to do to acquire new knowledge and master new skills Teacher presents steps required to arrive at the solution so students’ cognitive 4.3 4.5 4.4 load is reduced and they can focus on the process Students practice independently using the worked example as a model 4.4 4.3 4.3 Collaborative learning
randomization.Figure 2: (a) Student shown timing diagram for inputs s and r, then enters output q. (b) Student'ssubmission is incorrect; activity shows correct values for q and explains how an SR latch works.Often, the students are comfortable with how gates work due to covering combinational circuitsbefore this topic, but the introduction of a latch (or storage) is different, and takes some practicebefore the students can master the concept. The numbers in Table 2 clearly reflect this. Asshown, the first-time wrong percentage is 74% for level 1, but drops to 17% for level 2.Similarly, the gave up percentage is 3.92% for level one but reduces to 0.21% for level 2.Table 2: Metrics for both levels are shown, indicating students tended to require a few
. Thoresen, T. G. Plante, and T. Flinders, “Cultivating mindfulness: Effects on well-being,” J. Clin. Psychol., vol. 64, no. 7, pp. 840–862, 2008.[23] A. E. Parker, J. B. Kupersmidt, E. T. Mathis, T. M. Scull, and C. Sims, “The impact of mindfulness education on elementary school students: Evaluation of the Master Mind program,” Adv. Sch. Ment. Health Promot., vol. 7, no. 3, pp. 184–204, 2014.[24] J. Meiklejohn et al., “Integrating mindfulness training into K-12 education: Fostering the resilience of teachers and students,” Mindfulness (N. Y)., vol. 3, no. 4, pp. 291–307, 2012.[25] K. Caldwell, M. Harrison, M. Adams, R. H. Quin, and J. Greeson, “Developing mindfulness in college students through movement-based
, I worked for NASA at a Satellite Tracking Station in Ecuador Subsequently I obtained my M.S. and Ph.D. in Electrical Engineering with a minor in Applied Mathematics at the University of Colorado, Boulder. My Ph.D. dissertation work (on Neural Networks applied to control systems and automation) went to the DOD in Virginia. My formal grad- uate academic training was in Control Systems, Telecommunications and Applied Mathematics. After receiving my Masters and Ph.D. degrees in EE, I joined AT&T Bell Laboratories. During my tenure at Bell Labs, I became skilled in the formal methodology and processes of Systems Engineering and Sys- tems Architecture applied to large systems. Throughout my career, in the high-tech
Paper ID #25741The Evolution of the Civil Engineering Body of Knowledge: From the FirstEdition to the Third EditionDr. Decker B. Hains, Western Michigan University Dr. Decker B. Hains is a Master Faculty Specialist in the Department of Civil and Construction Engi- neering at Western Michigan University. He is a retired US Army Officer serving 22 years on active duty with the US Army Corps of Engineers and taught at the United States Military Academy at West Point (USMA). He earned a Bachelor of Science degree in Civil Engineering from USMA in 1994, Master of Science degrees from the University of Alaska Anchorage in
Power Electronics at North Carolina State University. He is a recipient of the Electrical and Computer Engineering Department’s Merit Fellowship (2016) and the NSF Graduate Research Fellowship (2018). His current research interests include electric vehicle fast chargers and wireless power transfer.Mrs. Kristen Booth, North Carolina State University Kristen Booth is a PhD candidate with a focus in Power Electronics within the Department of Electrical and Computer Engineering at North Carolina State University (NCSU). She graduated from NCSU with a Master of Science in 2017 and Murray State University with a Bachelor of Science in Engineering in 2015. Kristen’s research interests include electrical engineering
Con- struction Management. Saeed completed his PhD in Construction Management while he got a master of science in Management Information Systems. He is continuing his research on simulation to provide a comprehensive supplementary method in construction management education. c American Society for Engineering Education, 2019Thirty-Hour Safety Course for Construction Technology Academic ProgramsConstruction safety is an important aspect of every construction project in the United States.Safety training is provided by construction industry companies for individuals involved withsafety programs as professional development, non-credit courses, seminars and in-companytraining classes. The safety training
nano educational labs, as well as mentoring students in their senior capstone projects. His current projects include indus- try integration in the curriculum, undergraduate professional development, and entrepreneurial minded learning in the classroom.Amena Shermadou, Ohio State University Amena Shermadou is an Engineering Education graduate student at The Ohio State University. She received her Bachelors and Masters in Biomedical Engineering from Wright State University, in Day- ton, Ohio. Her experience with teaching first-year engineering students has led to research interests in curriculum development, student empowerment and the development of holistic engineers through the collaboration with engineering
Black Belt (CSSBB) by The American Society for Quality (ASQ). He is also a certified Quality Management Systems (QMS) Lead Auditor by the International Register of Certificated Auditors (IRCA) in London. He was elected a Fellow by ASQ in 2007.Dr. Neil Littell, Ohio University Dr. W. Neil Littell is an Assistant Professor at Ohio University within the Russ College of Engineering in the department of Engineering Technology and Management. Dr. Littell earned a Doctorate of Phi- losophy in Instructional Systems and Workforce Development (2013) from Mississippi State University. Dr. Littell also received a Masters in Technology from Mississippi State University (2005). Addition- ally, he holds Bachelor of
creative achievement are domain specific. The level of knowledgeand experience needed to master a domain and exhibit creative achievement may not leave timefor a single person to be successful in more than one domain [14]. Similarly, a creative productmust be both novel and applicable to the problem it solves, meaning that domain-specificknowledge is required to solve the problem, and the solution is unlikely to work in other domains[15].Instruments to assess creativityThe easiest assessments to administer are those that assess the creative person, which has severalinstruments designed around its assessment. These instruments all rely on accurate self-reportingfrom the participants but offer decent predictability of future creative behavior and
System in Mexico (SNI-1) and has been a visiting researcher at Syracuse University, at UT-Austin and at Universidad Andres Bello. She teaches undergraduate courses in Mathematics, graduate courses in Education, and is a thesis advisor on the master and doctoral programs on education at the Tecnologico de Monterrey. Her main research areas are: faculty development, teaching methods, and gender issues in STEM education. c American Society for Engineering Education, 2019 Towards full integration of physics and math concepts: Words versus meanings Itzel Hernandez-Armenta, Jorge E. de la Garza Becerra, & Angeles Dominguez
taught at several other colleges. He has conducted research related to Arctic Electric Vehicles and 3D printed plastics and metals. He participated and advised several student academic competition teams for several years. His team won 1st place in the 2012 SAE Clean Snowmobile Challenge. He has two masters degrees: one M.S. in Mechanical Engineering and an M.F.A. in Television Production. He also has three B.S. degrees in Liberal Arts, Mechanical Engineering, and Sustainable Energy.Dr. Jing Zhang, Indiana University Purdue University, Indianapolis Dr. Jing Zhang’s research interests are broadly centered on understanding the processing-structure- property relationships in advanced ceramics and metals for optimal