, B. L. (2009). University researchers working with private companies. Technovation, 29(2), 142-153.Bozeman, B., Fay, D., & Slade, C. P. (2013). Research collaboration in universities and academic entrepreneurship: the-state-of-the-art. [journal article]. The Journal of Technology Transfer, 38(1), 1-67. doi: 10.1007/s10961-012-9281-8Bozeman, B., & Gaughan, M. (2007). Impacts of grants and contracts on academic researchers’ interactions with industry. Research Policy, 36(5), 694-707.Campbell, E. G., Clarridge, B. R., Gokhale, M., Birenbaum, L., Hilgartner, S., Holtzman, N. A., & Blumenthal, D. (2002). Data withholding in academic genetics: evidence from a national survey. Jama, 287(4), 473-480
capability analysis, measurement systemanalysis, specification and tolerances, and acceptance sampling plans. Students typically take thiscourse in the second year of their masters program. The course learning outcomes are (a) Defineconcepts in quality and quality management; (b) Apply statistical tools in analysis andapplication of Statistical Process Control; (c) Produce and employ control charts; (d) Explainsampling process; and (e) Design acceptance sampling procedures for quality control.The course work and activities typically include a term paper, a term project, homework, in classexercises and discussions, quizzes and two exams (midterm and final). During the study periodthe author added the library training and a factory visit to the class
survey, student’s feedback at the end of the class,and instructor’s self-assessment.I. INTRODUCTIONTo control a system in order to get a desired performance has been the longest desire of engineersand planners. The control requirements may be of different kinds: a) to stabilize an unstable system,b) to change the state of a system from one to another, C) to track the output of a system to a knownvariable, and d) to regulate the performance of a system in the face of variable inputs, loading ofoutput, disturbances and external noise. The list is endless depending on the type of application.Learning to control a system requires learning and developing a repertoire of tools for 1. Modeling of systems, 2. Actuation, sensing and transducing 3
, variable flow velocities. With that goal in mind, the next step was todefine the requirements that would define a successful water flume design. The followingobjectives were identified at the outset of the project: A. The construction costs should be less than $3500. B. The construction can be carried out by undergraduate. C. The water flume will provide “low velocity” flow-rates up to 2 ft/s in the test section to replicate tidal and river flows. D. The water flume will fit in a laboratory with limited space. For this particular laboratory, this meant a maximum 7’ x7’ footprint and having the ability to relocate the experiment easily.The basic layout of the resulting design is shown in Figure 2. Each of the key components
monitors using the discussion threads. Students are instructedto first search the discussion board when they experience a problem with the lab because the sameproblem and its solution may already be posted.Discussion board thread samples:This section shows some samples of the discussion board threads that students’ use to discussany issues or seek support from the instructors or their class mates. Lab Access Discussion Forum: Ethernet Cable Unplugged in VM. Lab A Discussion Forum: Lab 2.1 Step 3 - Problems Downloading eicar.com File. Lab B Discussion Forum: Lab 6.3 - Can't generate certs. Lab C Discussion Forum: Lab 7.2 - WinRM Prevents Web Server IIS. Lab D Discussion Forum
experience. a. Exposure to the disciplines. The students indicated that the course prepared them – in general – to be exposed and gain a working knowledge of engineering disciplines other than the one of their choosing. This extended from just general exposure of concepts to specific problems and learning sessions. b. Students understood the concept of guided or directed choice – the philosophy that FYE is a vessel to guide students to the right choice of major, whether this is within the college of engineering or another at the university.Conclusion and Future Work Currently, there is significant work to finish
demonstrate an ability to identify, formulate, and solve engineering problems by applying principles of engineering, science, and mathematics. (b) Students will demonstrate an ability to design and conduct experiments, as well as to analyze and interpret data with the use of computer applications current to industry; (c) Students will demonstrate an ability to design and apply creativity in the design of engineering systems, components and process; (d) Students will demonstrate an ability to function effectively on teams that establish goals, plan tasks, meet deadlines, and analyze risk and uncertainty; (e) Students will demonstrate an ability to communicate effectively with a range of audiences (f) Students will demonstrate an
] “Sounding Rockets Program Office,” NASA. [Online]. Available: https://sites.wff.nasa.gov/code810/student.html. [Accessed February 2017].Appendix: Survey ResultsTable 1. Results of WALI evaluation survey. A total of 16 students responded; multiple responses were allowed foreach question, so percentages do not total 100%. Number Selected Percent 1. How did you become interested in WALI a. Word of mouth 7 44% b. Advertising (email, flyers, splash screen) 8 50% c. Faculty/advisor discussion 2
features of the assignment include that the students: were tasked to make qualitative recommendations for an open-ended range of possible investments, worked in teams, had access to a techno-economic model with a broad array of variable inputs, and were provided with research indicating legitimate questions regarding efficacy of the product.The project objectives were to: a. provide students an opportunity to practice and become comfortable with decision making with multiple concerns and types of evidence, b. promote student understanding of how a process design (techno-economic model) can be used, and c. enable students’ ability to navigate uncertainty, which is critical for practicing engineers
percentage ofProcess Dynamics and Control instructors use simulations for instruction and/or assessment [4].The hypothesis underlying this study is that moving the course to an online delivery methodenhances student learning in Process Dynamics and Control. These increases would follow from(a) asynchronous learning and the ability to re-watch lecture material and (b) the ability toconduct simulations alongside lecture effectively. Two cohorts of students are contrasted: agroup of students taking the course entirely in-person in a traditional classroom-based course anda group of students taking the course with online delivery but in-person exams. Students in bothgroups were taught by the same professor and completed identical final exams. This
, NY: Cambridge UniversityPress.[4] Tank, K. M., Moore, T. J., Dorie, B. L., Gajdzik, E., Sanger, M. T., Rynearson A. M.,Mann, E. F. (in press). Engineering in early elementary classrooms through the integration ofhigh-quality literature, design, and STEM+C content.[5] Bowen, G. A. (2009). Document analysis as a qualitative research method. QualitativeResearch Journal, 9(2), 27-40.[6] Derry, S. J., Pea, R. D., Barron, B., Engle, R. A., Erickson, F., Goldman, R., ... & Sherin,B. L. (2010). Conducting video research in the learning sciences: Guidance on selection,analysis, technology, and ethics. The Journal of the Learning Sciences, 19(1), 3-53.[7] Creswell, J. W. (2008). Research design: Qualitative, quantitative
differentparts of the world. These students have different background and skills, however, these resourcesare not fully utilized. The students were briefed about semester-long projects and expectedoutcomes. Students were then trained to work on the same aspect of a learning problem at thesame time. For example, if the course schedule ‘shafts’ as the learning topic for that particulartime-period, homework, in-class exercises and exams will be assigned from the portion of theproject related to shaft. To guide students through the project, a rubric system developed byYihun (Yihun, Nair et al. 2016) was used. Through the project students learned to: (a) create thedesign envelop based on an industry-provided required document or statement, (b
measured by the REFERENCESstudents GPA after Introduction to Engineering. Studentswere divided into two groups according to their nationality, [1] J. L. Hieb, K. B. Lyle, P. A. S. Ralston, and J. Chariker, “Predictingand divided again according to which version of the course performance in a first engineering calculus course: implications forthey took. The interaction effect between nationality andFirst Year Engineering Experience (FYEE) Conference July 31 – August 2, 2016, Columbus, OH W1A-3
− cosθ )Using Lagrange’s equations, a model with the pendulum in the down position will take theform Cˆ θ¨ + Aˆ sin θ = Bu ˆDividing by Cˆ gives θ¨ + A sin θ = BuLinearizing about θ = 0 produces θ¨ + Aθ = BuLinearizing about the vertically up position (θ = π) leads to θ¨ˆ − Aθˆ + Buwhere θˆ = θ − π. It is important to note that the A and B coefficients in the up and down positionsare the same. This means that system identification in the stable, downward position can be usedto experimentally determine the values
included in the INST are shown in Figure 1. Fig. 1. (a) Sample questions in the INST, original version in Spanish. (b) Translation to English.Since our goal was to detect those students with the highest probability of failure in calculus, theproblems selected to construct the INST evaluated only the most basic concepts in the areaspreviously mentioned. Even more, our test was divided in 4 sections, where each one contained10 questions about basic concepts, operatory skills and word problems (applications). Thosestudents who did not obtain a satisfactory grade (less than 60 out of 100 points) in this test wereenrolled in the Math Operatory Skills Laboratory (MOSL). MOSL is our approach to
46 Wednesday 23 40 21 Thursday 48 48 47 Friday 24 48 24 Time Morning 26 63 45 Afternoon 95 97 69 Evening 24 0 24 Instructor B 24 40 0 D 26 24 44 F 23 0 23 KD 24 24 0 S 24 24 0 V 0 24 24 WA 24 0 23 WE 0 24 0 Y 0 0 24In the present study we adapted a belonging intervention developed by Walton and
theimplementation of a peer mentoring program (Pascarella and Terenzini, 2005). A large studyinvestigating the effects of a PLTL program across 16 universities found that the percentage ofstudents scoring an A, B, or C in a course increased by up to 20% compared to a non-PLTLimplementation of the same course (Gafney and Varma-Nelson, 2008). In one of the 16universities studied, standardized test scores (American Chemical Society Organic Chemistrystandardized exams) improved from the 36-43 percentile nationally prior to the use of PLTL to the83 percentile nationally after the introduction of PLTL (Gafney and Varma-Nelson 2008). In theLA model context, significant improvements in learning gains have been documented acrossscience disciplines. Significantly
involved must be invested in the concept and practice of inquiry- based laboratory education. Methods must exist for assessing student performance in regard to previously- established course objectives. Course grades and student enjoyment, though useful, are not commensurate with assessing student performance.ReferencesAbdulwahed, M. and Nagy, Z.K., 2009, “Applying Kolb’s Experiential Learning Cycle forLaboratory Education,” Journal of Engineering Education, Vol 98, No. 3, pp 283-293.Allen, J. B., Barker, L. N., & Ramsden, J. H., 1986, “Guided inquiry laboratory,” J. Chem. Educ,63(6), 533.Berg, C. A. R., Bergendahl, V. C. B., Lundberg, B., & Tibell, L., 2003, “Benefiting from anopen-ended experiment? A comparison of attitudes to
project deliverables including a toy design proposal with rationale for how italigned with the developmental needs of a particular age group and a final design report thatincluded field notes from testing with children targeted by their toy design (see Appendix B forsample assignment guidelines given to students). Figure 1 illustrates several final projectssubmitted by the interdisciplinary teams. Data Sources and Analysis. Online surveys using Qualtrics were administered to ENGand ECE students at two time intervals: at the start of the semester before projects wereintroduced (pre) and at the end of the semester after all project deliverables were submitted(post). Survey questions for both groups focused on several key issues: (1) a priori
with all of the interpretations/conclusions of this paper. 3 N/A REFERENCES 4 31 [1]Aronson, J., Fried, C. B., & Good, C. (2002). Reducing 5 29 the effects of stereotype threat on African American college 6 37 students by shaping theories of intelligence. Journal of Experimental
Anthony Butterfield is an Assistant Professor (Lecturing) in the Chemical Engineering Department of the University of Utah. He received his B. S. and Ph. D. from the University of Utah and a M. S. from the University of California, San Diego. His teaching responsibilities include the senior unit operations laboratory and freshman design laboratory. His research interests focus on undergraduate education, targeted drug delivery, photobioreactor design, and instrumentation. c American Society for Engineering Education, 2017 Development and Usage of an Online Homework System in a Chemical Engineering CurriculumWe have developed an online, open-source system to administer
by a unit exam, students received their scores as well as the answer key immediately after taking the quiz. For each quarterly unit of the course, students were credited either (a) their exam score, or (b) the mean of their quiz scores, whichever was higher toward their final course grade. They were therefore not obligated to take both the quizzes and the exams, but could instead opt not to take the exam if they were satisfied with their weekly quiz scores. 96% of their grade in this section was based on these summative assessments of knowledge and comprehension, while the remaining 4% was based on class participation. The comparatively high-stakes assessments in this section were assumed to induce the testing effect
abilities increased while taking the EECS communication course. (a) Depicts the pre- andpost-class distributions by communication genre, with the box height indicating the mean response and thewhiskers representing the standard deviation. For each genre, the average self-assessed score increased aftertaking the course. (b) Shows the distribution of the students’ self-assessed change in abilities by genre.While in a couple cases, students actually reported a decrease in their perceived abilities, the majority ofstudents reported an increase.improvement in their communication skills (approximately 55%) with those who would at leastmoderately recommend the Communication Lab to a friend (approximately 90% reported 3-5/5).While there might be several
responses to those questionswould remain the same regardless of which version of the introductory class they had takenwhile B) students who had taken the new form of the class would have higher levels ofconfidence in the first eight questions. Thus showing that the transformation had a positiveimpact on student confidence in the introductory class’s core topics. The survey can be found inAppendix B.3. Program Structure/ Course DescriptionThe introductory computer engineering course is a 3-credit hour class that meets 3 times a weekfor 50 minutes over 16 weeks. The course is meant to introduce the student to using a computerto interact with real world inputs and outputs, or simply, embedded systems. The nameembedded systems comes from the idea that
and evaluating and implementing pre-recruitment strategies, developing andcoordinating delivery of new faculty development opportunities around inclusive, equitable andjust practices, and ensuring our Promotion and Tenure practices clearly align with the college’svalues and goals as explicitly laid out in the Strategic Plan. The “messaging” coming from COEleadership has been consistent and ongoing as well, ensuring alignment with our core values(please see McMurtrie, B. 3 for a recent example).2. Approach: School of Chemical, Biological and Environmental EngineeringFaculty and staff members who engage in School transformation in formal ways need to beassured that their efforts will be recognized and valued through the approbations and
, “Diversifying the Engineering Workforce,” J. Eng. Educ., vol. 94, no. 1, pp. 73–86, 2005.[2] I. of M. National Academies of Science, National Academy of Engineering, Expanding Underrepresented Minority Participation. 2011.[3] U.S. Census Bureau, “QuickFacts United States,” 2015. [Online]. Available: https://www.census.gov/quickfacts/.[4] B. L. Yoder, “Engineering by the Numbers.” 2015.[5] C. J. Atman, S. D. Sheppard, J. Turns, R. S. Adams, L. Fleming, R. Stevens, R. A. Streveler, K. A. Smith, R. L. Miller, L. J. Leifer, K. Yasuhara, and D. Lund, “Enabling Engineering Student Success: The Final Report for the Center for the Advancement of Engineering Education,” San Rafael, CA, 2010.[6] S. A. Durham and W. E
Integrating Technology and Career Learning in Elementary Engineering Education: A Formative Curriculum Evaluation Nicole Colston1, Julie Thomas2, and Tyler Ley1 Oklahoma State University1 and University of Nebraska-Lincoln2 327 Willard Hall, Stillwater, Oklahoma 74078IntroductionThe Engineering is Everywhere (E2) curriculum includes a series of video lessons led by a civilengineer who explains how he uses science, mathematics, and economics to solve practicalproblems. The engineer-led video lessons (a) highlight elementary grade-level applications ofmathematics and science in the work of engineers and (b
desired needs; (d) the ability to work onmultidisciplinary teams; (g) communicate effectively; and (k) ability to use the techniques, skillsand modern engineering tools necessary for engineering practice. They more weakly emphasize(b) design and conduct experiments and analyze and interpret data. As can be seen from Table 3,the non-traditional ADP meets all the course outcomes of the traditional ChE capstone designcourse. In addition, the ADP course emphasizes the ABET criteria (f) understanding ofprofessional and ethical responsibility and (h) the broad education necessary to understand theimpact of engineering solutions in a global and societal context. The ADP course also has teamsthat are truly multidisciplinary, while most traditional
, all research projects were done at SFSU, and 23 internswere selected for the 5 research groups—two groups for Civil Engineering Group (Group A andGroup B), and one group each for Computer Engineering, Electrical Engineering and MechanicalEngineering. The structure and design of the group research activities (including selection offaculty mentors) was based primarily on SFSU faculty interest and availability to participate inthe summer program.Table 2. Academic characteristics (declared major and intended term of transfer) of 2016 ASPIRES Summer Research Internship Program participants. Characteristic # of Students (%) Major Applied Math 1 3% Bio
enrollment and high repeatrates. Table 1 shows that among the 3337 students enrolled in ME 311 during Fall 2007 toSummer 2014, 34% received a D, F, or withdrew (W).Table 1: Grade distribution for ME 311 students from Fall 2007 to Summer 2014 Grade Number of students A 302 (9%) B 658 (20%) C 1233 (37%) D/F/W 1144 (34%)A possible contributing factor to the bottleneck is the pedagogical approach. Prior to theredesign, instructors used a traditional lecture format and class time was divided betweenderivations, conceptual explanations, example problems, and assessments. Anecdotally, studentsreport that example problems are the most interesting part of the course, with derivations beingthe