Professor of English in the Department of English at Carnegie Mellon. His current research interests include pedagogy of communication and design for students and professionals in the technology/engineering disciplines, and computer-aided rhetorical analysis. c American Society for Engineering Education, 2017 Making the Invisible Visible in Writing Classrooms: An Approach to Increasing Textual Awareness using Computer-Aided Rhetorical AnalysisIntroductionWriting requires countless composing decisions that are typically beyond the writer’s consciousgrasp. For students, writing can feel like a process that they have little control over, and a skillthat only a certain few possess. Much of the skill in being
team-based projects. Given that research in studentlearning consistently shows that active learning and higher student participation leads to betterlearning outcomes [1][2], we have recently modified the course to increase student participationby requiring that students: a) do MATLAB reading and exercises in advance of the lecture time,b) utilize an in-class interaction system, c) use MATLAB on their laptops for in-class exercises,and d) attend programming labs. Given that ECE 102 does not deal with programming alone, wehave faced a problem of students passing the class without learning basic programming skills - acommon problem in any course in which students can collect partial credit. We are attempting toaddress this through pass/no-pass
because they all share the samecontrol signals. Inductive instruction, particularly active learning techniques and demonstration-based learning, are employed to improve student’s learning. Specifically, we enrich the lecturesabout LED time-multiplexing circuit of S3 board with images to first illustrate how human beingeyes are often tricked and then followed by hardware demonstrations. To demonstrate theillusion of our eyes, Fig. 2 (a) (b) are borrowed online to test students’ eyes [10, 11]. Students areasked the intersection dots are white or black in Fig. 1 (a). It seems like we saw some black dots,but actually they are all white. Another example we introduce in class is Fig. 1 (b). Students areexcited to guess which monster looks bigger. The
the resources, inspiration, and continued efforts to improve first-year TABLE II engineering programs. ANOVA P-VALUE RESULTS Analysis 1 Analysis 2 Analysis 3 REFERENCES Gross Engineering 0.0042*** 0.0032*** 0.9620 Persistence Rate: [1] Landis, R. B., Studying Engineering: A Road Map to a Rewarding Net Engineering Career, 4th Edition. Los Angeles
science, technology,engineering, and mathematics (STEM) educators in an easily accessible and compelling form:that of an online forum student usage model. Recent work in engineering education providesprecedent for the use of personas to communicate research findings [10-12]. Moreover, incommunicating our findings using personas with contextualized scenarios that describe how thepersonas choose to actively engage (or not engage) with the online forum, we anticipate (a)improved transfer of contextual findings to a broad audience of STEM education stakeholdersand (b) heightened motivation and confidence among STEM educators toward implementingonline forums in order to increase participation of diverse, nontraditional undergraduates.Prior Use of
questionresponse will be categorized according to the codebook developed previously. New themes willbe generated for the responses that do not fit within the themes defined in the codebook. Thepersonal interviews will be audio recorded so that they can be transcribed verbatim. A matrixwill be built for each question consisting of the themes and corresponding responses from all thetranscripts.The qualitative data obtained from surveys and personal interviews will be analyzed to answeradditional research questions:• What are the students’ habits regarding completing the various course aspects?• What modifications can be made to the UOEC to improve student learning?References1. Means, B., Toyama, Y., Murphy, R., Bakia, M., & Jones, K. (2009). Evaluation
assert that, as in the field of medicine, it is critical to discuss the issues and complications sothat the intervention can contribute to the educational experience. Future work may involve thestudy of more cases with engagement of the community at ASEE.References 1. ABET, General Criteria 3. Student Outcomes, www.abet.org, 2017. 2. Bergiel, B., Bergiel, E. and Balsmeier, P. (2008) ”Nature of virtual teams: a summary of their advantages and disadvantages.” Management Research News, 31/2: 99-110. 3. Dym, C. L., Agogino, A. M., Eris, O., Frey, D. F., & Leifer, L. (2005). Engineering design thinking, teaching, and learning. Journal of Engineering Education, 34(1), 103–120. 4. Dörnyei, Z. (2005) The
through design courses—to solve problems and execute thosesolutions. But designing for disability benefits from a broader perspective: “A richer balancebetween problem solving and more playful exploration could open up valuable new directions”(pg. xv)1. This paper describes the design of an interdisciplinary course to be taught beginning inMarch 2017, Introduction to Disability Studies, that integrates Liberal Arts and STEMperspectives with the goal of creating precisely the balance that Pullin describes.In the sections that follow, we first describe the design of the course, focusing on the humanitiesperspectives and assignments that inform the theoretical disability studies framework. Thissection also addresses our approaches to breaking down
design project through ROS mayassist us in conducting a rudimentary evaluation of the TCK integrated multi-lab method. Thequestionnaire covers the seven questions below. The outcomes specified in the parentheses are inaccordance with the ABET standards. Figure 2 Generated ROS navigation environment • Question 1 - “I can apply formal engineering design methodology to carry out the design, experiments and construction of labs and project based on ROS data and interpretation.” (Outcome b: An ability to design and conduct experiments, as well as to analyze and interpret data relating to electrical systems.) • Question 2 - “I understand the fundamental algorithms on ROS and software/hardware co
are thoseof the author(s) and do not necessarily reflect the views of the National Science Foundation.References[1] J. S. Shippmann, R. A. Ash, M. Batjtsta, L. Carr, L. D. Eyde, B. Hesketh, J. Kehoe, K. Pearlman, E. P. Prien, and J. I. Sanchez, "The practice of competency modeling," Personnel psychology, vol. 53, pp. 703-740, 2000.[2] B. J. Brummel, D. E. Rupp, and S. M. Spain, "Constructing parallel simulation exercises for assessment centers and other forms of behavioral assessment," Personnel Psychology, vol. 62, pp. 137-170, 2009.[3] D. E. Rupp, A. M. Gibbons, A. M. Baldwin, L. A. Snyder, S. M. Spain, S. E. Woo, B. J. Brummel, C. S. Sims, and M. Kim, "An Initial Validation of Developmental Assessment
EngineeringEducation to the New Century. National Academies Press: Washington, DC.[3] American Society of Mechanical Engineers. (2008) 2028 Vision for Mechanical Engineering.http://files.asme.org/ICOMES/News/15876.pdf[4] Klein-Gardner, S. S. and Walker, A. (2011) Defining Global Competence for EngineeringStudents, Paper presented at 2011 ASEE Annual Conference & Exposition, Vancouver, BritishColumbia, Canada.[5] Continental AG (2006) In Search of Global Engineering Excellence: Educating the NextGeneration of Engineers for the Global Workplace. Continental AG: Hanover, Germany.[6] Downey, G. L., Lucena, J. C., Moskal, B. M., Parkhurst, R., Bigley, T., Hays, C., Jesiek, B.K., Kelly, L., Miller, J., Ruff, S., Lehr, J. L. and Nichols-Belo, A.. (2006) The
items (see Pollitt,2012b for a discussion of the Rasch statistical methods in ACJ). The misfit statistics can be usedas a reliability check for judges and the final rank order of items with further analysis andassessment of problematic judges or items.In addition to the measures covered, this method of assessment has demonstrated strongstochastic transitivity (if A usually beats B, and B usually beats C, then A will mostly beat C),furthering strengthening the reliability of the findings (Pollitt, 2004). Pollitt (2004) pointed outthat the strong reliability findings connected with ACJ account for possible unreliability betweengraders as well as lack of internal consistency within the assignment itself—an uncommoncharacteristic as most
), 114- 127. APPENDIX:Sample Pre and Post Assessment from Science Says Safer SportsLesson Title: Protecting fragile objects in sports Unit #: Lesson #: Activity #: Worksheet:Activity Title: Force and Motion Basics 3 1 1 aWorksheet Title: Pre-Test Part 1: CER There are many forces acting on this car. Two of them are shown. What is the net (resulting) force? 1. Which claim is correct? The net force is… a. 30 N to the right b. 30 N to the left c. 70 N to the right d. 70 N to the left 2. What evidence from the data supports your claim? a
-17/the-new-stem-index-2016. [Accessed: 11–01-2016].[3] “Free and Reduced School Lunch Data.” [Online]. Available: http://www.arkansased.gov/divisions/fiscal- and-administrative-services/e-rate/free-and-reduced-school-lunch-data. [Accessed: 11–01-2016].[4] “The Condition of College & Career Readiness 2016,” 2016.[5] D. St. John and E. Specking, “From College to K-12: Adapting Industrial Engineering Classroom Exercises for Outreach Purposes,” in 2015 ASEE Annual Conference & Exposition, 2015.[6] E. Specking, P. E. Kirkwood, and L. Yang, “Perceptions and Misconceptions of Industrial Engineering from First-Year Engineering Students,” in 2015 ASEE Annual Conference, 2015.[7] B. M. Capobianco, H. A. Diefes-dux, I
EducatingEngineers about Nanotechnology: End-of-Life Management of Nanomaterial-ContainingWastes. Proc. 121st Annual ASEE Conference & Exposition, Indianapolis, IN, 8 p.Pierce, C.E., Berge, N., Flora, J.R.V., Matta, F., Petrulis, R., and Washam, E. (2016). A Two-Step Program for Undergraduate Students to Gain Authentic Experience in the Research Process.Proc. 123rd Annual ASEE Conference & Exposition, New Orleans, LA, 12 p.Pierce, C.E., Caicedo, J.M., Flora, J.R.V., Berge, N.D., Madarshahian, R., and Timmerman, B.(2014). Integrating Professional and Technical Engineering Skills with the EFFECTsPedagogical Framework. International Journal of Engineering Education, v. 30, n. 6(B), pp.579-589.Pierce, C.E., Caicedo, J.M., and Flora, J.R.V. (2012
this lab is to not overwhelmstudents with material since a graphical user interface (GUI) requires concepts not covered in thelecture. To mitigate this, students are given a reference framework implementing more of thecomplex graphical components but with blank sections for students to complete. The framework for the C++ section of the course uses the Simple Fast Multimedia Library(http://www.sfml-dev.org) while the MATLAB section uses the built-in graphical user interfacemodule. These frameworks create a blank window, allow the user to control the mouse andkeyboard, and provide a graphical component to draw in (see Appendix A and B for examples).Note that students do not need to necessarily understand the framework to complete
of more standardprogramming languages. It is possible to teach the most basic of computer science concepts—simple sequential instructions—up to Boolean logic, iteration, and even recursion by usingScratch. (a) A recursive Fibonacci Algorithm in Scratch. (b) An interactive animal cell in Scratch . Figure 1: Photos of Math and Science Scratch sample projects. .However if Scratch were only a useful pedagogical tool for introducing older students to theconcepts of computer programming, its utility would be limited. Scratch is not limited in itsusefulness as a tool that can be used only for this purpose. Students are learning with Scratch
– that becomes the hunt for möjligheterfor us as engineering educators.Works Cited1. Sfard, A. On Two Metaphors for Learning and the Dangers of Choosing Just One. Educ. Res. 27, 4–13 (1998).2. Frezza, S. T. A knowledge basis for engineering design. Proc. - Front. Educ. Conf. FIE 2015–Febru, (2015).3. Eris, O. Effective Inquiry for Innovative Engineering Design. (Kluwer, 2004).4. Chi, M. T. H. in Creative thought: An investigation of conceptual structures and processes (eds. Ward, T. B. & Smith, S. M.) 209–234 (American Psychological Association, 1997).5. Robinson, K. Out of Our Minds: Learning to be Creative. (Wiley Capstone, 2011).6. Amabile, T. M. Creativity in Context: Update to the social
and successfulpre-engineering program, creates a vibrant win-win situation.Future research is required into the requirements for entry into 300 engineering courses. Byinvestigating the pre-requisite requirements in the various engineering programs at FloridaUniversities the viability of an AS degree in pre-engineering can be determined. The culminationof this study is expected to lead to a detailed pre-engineering curriculum proposal.References[1] Florida Department of Economic Opportunity, "Employment Projections," 2017. [Online]. Available: http://www.floridajobs.org/labor-market-information/data-center/statistical- programs/employment-projections. [Accessed 25 01 2017].[2] Ashby, A. M. Cohen and F. B. Brawer, The American Community
question #35 is much more difficult than question #34, butits percentage of correct answer is higher (53.8%). We believe that the cause lies at thecorrelation among the questions #32-34, because all of them are on the same P-V diagram shownin Fig. 2 (b). More specifically, they are on work (#32), internal energy (#33), and heat transfer(#34). The details of the test result are the following: five students (32, 33, 34), twostudents (32, 33, 34), three students (32, 33, 34). These ten students might haveapplied the first law of thermodynamics in answering question #34. If they made one mistake ineither question #32 or question #33, they would select a wrong answer in question #34. On theother hand, the remaining three students did not pay
. 2. The user implements what is assumed to be the solution, then requests that the solution be graded by clicking on CIRCLE 12. If the solution is wrong, then a point is deducted and feedback or a hint is provided that should help in the user’s next attempt. 3. The user keeps repeating step 2 until a. A correct solution is attained. One point is deducted for each incorrect attempt or b. All 10 attempts at generating the correct diagrams are exhausted. A score of 0/10 is recorded and the score is locked.If the user abruptly terminates steps 3a or 3b a score is not recorded.Circle 10: Select Reaction Name OptionEach arrow or torque that is dragged onto the free-body or kinetic
Paper ID #18897Rethinking ABET Accreditation of Computer Science Degree ProgramsProf. Gene Lee Fisher Ph.D., California Polytechnic State University, San Luis Obispo Gene Fisher received a BS in Computer Science and a BA in Mathematics from the University of Califor- nia Irvine in 1973. After several years in industry he returned to Irvine for his PhD, which he completed in 1985. Currently Dr. Fisher is an emeritus professor in the Department of Computer Science at the California Polytechnic State University San Luis Obispo. He joined the Cal Poly faculty in 1990. Prior to this, he was an Assistant Professor at the
University (2013). [Online]. Available:http://www.montana.eedu/opa.[10] Yoder, B.L., (2011). Engineering by the Numbers, American Society of Engineering Education.[11] Almstrum, Vicki L., Henderson, P. B., Harvey, V., Heeren, C., Marion, W., Riedesel, C., Soh, Leen-Kiat andTew, A. E. 2006. Concept inventories in computer science for the topic discrete mathematics. SIGCSE Bull., 38(4),132-145.
International Astronautical Congress Proceedings, Cape Town, ZA, Oct. 2011.15. Carmen C. and Groenewald B., “Initiation and Development of International Collaboration Among the Future Space Workforce Via the Design and Development of a STEM Tool,” 63rd International Astronautical Congress Proceedings, Naples, IT, Oct. 2012.16. Groenewald, B. and Carmen, C.L., “Establishment of a Multi-National University Effort to Promote International Cooperation and Develop the Future Space Workforce,” 64th International Astronautical Congress Proceedings, Beijing, CN, Sept. 2013.17. Dulz, D., Henslee, A., Hoang, T., Marks, D., Moreno, A., Latham, J, and Peusch, A., “Preliminary Design Review: Table Top Wind Tunnel,” MAE 490
assessment are10: a. Length. Number and length of items in an assessment must not distract unreasonably from project and class time (5-10 minutes per administration). b. Coverage. Coverage of topics within the domain of interest must span elements of motivation of importance in a capstone project. c. Format. Item type (e.g., multiple choice, open-ended, performance) must fit the component of motivation assessed and distinguish the level of achievement. d. Readability. Language and vocabulary used in test items must be understandable and relevant to respondents. e. Fairness. Items must take into account the diversity of the target audience and avoid biases among subgroups.Assessment Categories and
STEMlearning. In addition, the study seeks to assess effective strategies to increase STEM self-efficacywithin science (biology or physics) and engineering technology education (ETE) teachers, andadvance students’ learning of STEM content at schools in rural settings. In order to evaluate theeffectiveness of the TRAILS model, researchers developed and adopted various measures andinstruments. Data collection for the study includes utilizing the following: a) instrumentsmeasuring STEM lesson content knowledge (knowledge tests), b) attitudinal perceptions ofteachers and students (pre/posttest surveys and delayed posttest surveys), c) rubrics for assessing21st century skills in project based learning, d) classroom observations, and e) student
progression. ! ! ! ! Class!A! Class!B! Class!C! Class!D! ! ! ! ! LOWER.DIVISON!COURSES! UPPER.DIVISON!COURSES! Figure 1: Linear Progression of Academic Courses Class A provides knowledge needed for Class B, Class B provides knowledge needed forClass C, and so forth. Therefore, earlier classes such as Classes A and B are more focused on thefundamental concepts which then help students in their upper-division courses
the following major components:1. The RC toy car consisting of a 7V DC motor in the back and servo motor in the front. The length of this car is 35 cm and the width is 30 cm. The car was previously modified for an automatic parking project developed by another student.2. Raspberry Pi Model B+. This mini-computer processes images received from the PlayStation Eye camera, and sends control signals to the Arduino Mega controller to steer the car. The lane keeping strategy and algorithm can be programmed and uploaded to the Raspberry Pi.3. PlayStation Eye camera, shown in Figure 1. The camera is mounted on the car and provides optical data to the Raspberry Pi.4. Arduino Mega Controller. The Arduino Mega replaces the car’s original
indices. The students were expected to know how to use the material selection charts.Table 1 summarizes the assessment for randomly selected 25 projects in terms of how the projectteams used the various materials science perspectives in terms of (a) material properties, (b)material allowable, (c) structural adequacy in terms of factor of safety and (d) a rational processof material selection using Ashby charts. It should be mentioned here that the software CESEduPack was not used. Only the charts were used. Selection aspect was correctly considered byonly 6 of the 25 groups TABLE 1Assessment in terms of material properties, allowable, adequacy, and selection PRODUCT Mat. Prop
dampingratio.One of the key concepts for students in the first classical control course is to learn about thestability and the effect of circuit elements on the time and frequency responses. Students write aprogram in MATLAB for a given values of L=47mH, C=0.22µF, and R=500 Ω, to find the V (s)numerical transfer function from equations (1) and (2), such as G ( s ) = out . They look at the Vin ( s )step (Figure 2-a) and frequency (Figure 2-b) responses for the continuous time transfer function.The first observation of both the step and frequency responses are the system is stable