of Communication, Purdue University Josh Boyd is associate professor and director of undergraduate studies at the Brian Lamb School of Com- munication, Purdue University. He frequently teaches writing-intensive classes, and he studies ways to improve writing and assessment of writing across the curriculum. Page 26.1382.1 c American Society for Engineering Education, 2015 Something to Write Home(work) About: An Analysis of Writing Exercises in Fluid Mechanics TextbooksAbstractWriting has been identified as a critical skill and element of the engineering
resistance may be student perceptionof writing as an audience-driven performance rather than perceiving writing as part of criticalthinking and creation of social action4. In data- and content-focused fields and disciplines, suchas those in STEM, it is difficult to integrate different forms and genres of writing into upper-levelundergraduate courses due to time constraints and concerns about coverage. Writing is seen as aseparate intellectual process because there are a limited number of courses taken as corerequirements from Humanities and Social Sciences, and many courses and writing programs donot demonstrate overt connections to STEM epistemologies. Although practicing STEM facultystress the importance of writing as part of their own careers
- Page 26.787.3professionalism, 3.1.9 - ethics and equity, and 3.1.12 - life-long learning1. These new objectivesresulted in the inclusion of the discourse on sustainability and social learning and an in-depthdiscussion of integrative skills (a.k.a. “soft” skills).The New First-Year CourseLater we developed a first-year course with a theme of sustainability, APSC 176: EngineeringCommunication. Its objectives are to provide students with research, critical thinking andadvanced communication skills necessary for success in the study and practice of globalengineering.We believe that a first-year communication course is uniquely positioned for integratingeducation on sustainability (ESD) with graduate attributes. APSC 176: EngineeringCommunication
-analysis and reflection. Emig describes the simple act ofreading one’s own writing as a valuable learning moment in which “information from the pro-cess is immediately and visibly available as that portion of the product already written.” Review-ing a set of writings collected over time, then, creates an opportunity to extend the learning pro-cess. Both instructors and students benefit from the act of collecting artifacts because they repre-sent the changes and growth that accompany learning. When integrated in a purposeful way ap-propriate to a given discipline, WTL deepens student understanding, improves student engage-ment, increases retention, and makes students active participants in the learning process10,11.1.2 WTL and computational
Paper ID #12147An Automatic Grading and Feedback System for E-Learning in InformationTechnology EducationDr. Peng Li, East Carolina UniversityMr. Lee Toderick, East Carolina University Page 26.179.1 c American Society for Engineering Education, 2015 An Automatic Grading and Feedback System for E-Learning in Information Technology Education1. INTRODUCTIONIn the past few years, new, e-learning, virtual hands-on labs have been deployed in theInformation and Computer Technology Program at East Carolina
were studied. From this study, it can be seen that universities are usingnine models to integrate nanotechnology concepts into their curriculum: 1. Offering undergraduate courses on Nanotechnology. 2. Offering Baccalaureate degree in Nanotechnology. 3. Offering an undergraduate track in Nanotechnology. 4. Offering a Minor in nanotechnology. 5. Offering a Master degree in Nanotechnology. 6. Offering Graduate courses in Nanotechnology. 7. Offering a Multidisciplinary Senior Design Project on Nanotechnology. 8. Integrating Nanotechnology concepts into their traditional courses. 9. Undergraduate Research in Nanotechnology.Model 1 is used by eight universities such as the Wentworth Institute of
. Page 26.669.1 c American Society for Engineering Education, 2015 Enhancing the Quality of Student Research by an On-going Multiple-Project-Based Course Chaomin Luo Department of Electrical and Computer Engineering University of Detroit Mercy, Michigan, USA1. IntroductionWith the continued advances in computational intelligence over the several decades, it is becomingincreasingly vital that development of a new course curriculum on computational intelligence andsoft computing in a university will contribute to technology advancements and applications [1,2].With the advance of increasingly
Computer Information Science (CIS), but for students in engineering whoutilize ICS as a tool to control a physical process, e.g. critical infrastructure. Page 26.573.22. Integration into existing programsCyber-security concepts are at least generally addressed in CIS and related disciplines such asInformation Technology (IT) and Computer Science (CS), if not specifically addressed in cyber-security concentrations within these. What is missing from these is an understanding of real-timecontrol systems as they are deployed in industry, and their associated industrial processes, asthese tend to be addressed in the electrical, mechanical, and
. Semantic “dissonance”, in the forms of synonymy and polysemy, is frequentlyencountered between participants in related meetings and discussions.Unfortunately the topic of semantic miscommunication is usually not broached until it causes aproject meltdown. This laissez-faire approach can be compared to an information securitymanager ignoring potential virus threats until a machine is already infected.Taking a more practical stance towards the problem, we developed the Termediator software topre-emptively identify potential term dissonance. Termediator has evolved since 2010 from asimple term browser to a multifaceted tool; in its current state it integrates similarity measures insynonymy with topic modeling and clustering in polysemy.The
attract a more diverse student body. At present,engineering in Western countries is an overwhelmingly male-dominated field. GalvanizeU/UNHaims to help reverse this trend, as well as support a greater number of students from differentbackgrounds, by offering scholarships from partner organizations with similar goals. Another of GalvanizeU/UNH’s core goals is to create a new path for how data scienceeducation is perceived and taught. To train a new class of data scientists, educators mustemphasize problem solving and design thinking over tools and technology. Its curriculum modelfeatures needs/competency-based, learner-centric and project-based instructional strategies, andincludes opportunities for industry partnerships and continuous
Paper ID #13967Implementation and Outcomes of Scaffolding Cyber-Enabled CollaborativeLearning in Multiple STEM CoursesProf. Wei Zheng, Jackson State University Dr. Wei Zheng is an associate professor of Civil Engineering at Jackson State University. He received his Ph.D. in Civil Engineering from University of Wisconsin-Madison in 2001 and has over ten years of industrial experience. Since becoming a faculty member at JSU in 2005, he has made continuous efforts to integrate emerging technologies and cognitive skill development into engineering curriculum.Mr. Yanhua Cao, Jackson State University Yanhua Cao is an doctoral
practical data mining system includes: data sources, a shipper, a broker, an indexer,searchable storage, and an interface. Each piece serves as a crucial part of an integral system. Apiece of data enters the system directly from the data source, or a shipper, from which point it isplaced in a broker. The indexer pulls the data from the broker, and the data is parsed and placedinto the searchable storage. The interface then accesses the storage through API calls. Thissame basic concept is used by most data mining implementations.Let us begin with our data sources. Data sources can be anything that produces text-basedevents. Common log sources include: servers, workstations, printers, and network equipment(such as wireless access points or routers
. Page 26.1614.2Choosing the best programming language to start teaching high school and undergraduate studentsis observed by several researchers; see for example Ali (2007), Duke (2000), Giangrande (2007),Goosen (2004), Goosen (2008), Mannila (2006), and Tharp 1982. Some other researchers focusedon learning preferences of students to solve engineering problems; see for example Felder andSilverman (1988) and Rosati (1998). Education of various technologies in various engineeringfields as a part of an undergraduate curriculum is discussed by researchers such as Clough (2002)and Maase & High (2008). Stockwell (2002) focused on Computer Science majors’ mathematicsproblem solving skills when C programming language is used in the classroom. This
, computer, and bioengineering students at an undergraduate level before they encounter digital signal processing and its applications in junior or senior level courses. The Fourier transform takes a signal in time domain, switches it into the frequency domain, and vice versa. Fourier Transforms are extensively used in engineering and science in a vast and wide variety of fields including concentrations in acoustics, digital signal processing, image processing, geophysical processing, wavelet theory, and optics and astronomy. The Discrete Fourier Transform (DFT) is an essential digital signal processing tool that is highly desirable if the integral form of the Fourier Transform cannot be expressed as a mathematical equation
the survey results arepresented in this section.After the workshop, 47% of our participants agree on “the workshop achieving a sense ofcommunity.” We find it an encouraging result, as it proves that it is possible for online teachingto be as accommodating as regular face-to-face teaching. 63% of our participants specified thatthey will recommend our workshop to others, whereas the remaining 37% were neutral. In thepost-workshop surveys, the participants were asked a question “if you are a teacher, what portionof what you learned in this course you will incorporate into curriculum?” We are very delightedto see that, 60% of the participants plan to use at least 25% of our activities and resources in theirteaching. Indeed during the workshop
assignment exercise during a relatively busy period of the term.With the planned refinements to the assignment algorithm, the solution promises to become arobust platform for future iterations of the overall project assignment process. Page 26.20.12References1. Kadlowec, J., Bhatia, K., Chandrupatla, T.R., Chen, J.C., Constans, E., Hartman, H., Marchese, A.J., von Lockette, P., Zhang, H., "Design Integrated in the Mechanical Engineering Curriculum: Assessment of the Engineering Clinics" Journal of Mechanical Design 129.7 (2007): 682-691.2. Von Lockette, P., Riddell, W., Dahm, K., Harvey, R., Courtney, J., Pietrucha, B., Diao, C., Accini
co-authored the first integrated computer and laboratory introductory calculus course in 1975. He has taught middle school mathematics, engineering, and science and both undergraduate science and graduate teaching courses at Harvard. His research interests include assessment of students’ misconceptions and how they change with instruction, K-12 curriculum development, the transition to college of students who wish to purse STEM careers, pre-college engineering, and the professional development of teachers. Dr. Sadler has won the Journal of Research in Science Teaching Award, the American Institute of Physics Computers in Physics Prize, the American Astronomical Society Education Prize, and the American Association