’ responses to questions g through l. Figure 6: Results for the Education Category of the SurveyFocus Category - Cultural Awareness:This category of the survey focused on determining if the FLEAP provided a change in theparticipant’s cultural awareness. The questions focused on assessing the students’ understandingof the culture of different countries and viewpoints of the international market. Results from thefive questions were all relatively positive with most questions being answered as “slightlyimproved” or “greatly improved.” The overall category average was 3.56, which was the averageof all the participants’ responses to questions m through q. Figure 4: Results for the Cultural Awareness Category of the
this work suggestthat, contrary to common perception of engineering students, these students in aggregatereadily identified their writing courses as equally useful to their non-writing courses.However, these students were significantly less interested in their writing courses’ contentthan that of other concurrent engineering classes. We conclude by providing actionableinsights for educators that are suggested by our data. Q: Imagine that you are the instructor of an engineering writing class. What would you do to ensure that students stayed interested and motivated to learn? A: Ha! Good one. Honestly, I'm glad that's really not my problem, 'cause I have no clue. Best of luck with that, though. –Participant ID
., Duan, Z. (2013). “Enterprises Ambassador Model: a New Idea to Enhance University-Enterprise cooperation”.Research in Higher Education of Engineering 01, 71-75.[5] Fan, Q., Zheng, Q., Zheng, K., Wang, Z., Wang, X. (2013).“In-depth Hexahedral Cooperation Mode in Engineering Education Between Universities and Enterprises”.Experimental Technology and Management 12, 26-30.[6] Zeng, Y., Wang, G. (2011).“The Study on the Construction of Training System under Outstanding Plan”.China University Teaching 07, 75-78.[7] Chen, X. (2014). “The Study on Benign Construction of PETOE through Joint Training Model of University-Enterprise Cooperation”.Education and Vocation 11, 125-126.[8] Hou,Y., Wu, M., Gong, W., Wu, A. (2014).“Deep
ofthe case study, students delved into the “central limit theorem”, which is a key concept in thecourse. The students are expected to visualize the central limit theorem for the given data. Thisalso motivates them to explore graphical tools in Python in order to produce various plots fromthe data, such as Q-Q plots. In addition, students got to practice with cumulative distributionfunctions and understand the concept more in depth. The case study was designed such thatstudents were required to revisit the majority of the probabilistic concepts (e.g. conditionalprobability, integration technique) and apply them at the same time in a different, realisticcontext. This case study also went one step further, and the students were introduced with
the study ofpreservice professional programs in colleges and universities. The Journal of Higher Education, 231-258.7. Staton, A. Q., & Darling, A. L. (1989). Socialization of teaching assistants. New directions for teaching andlearning, 1989(39), 15-22.8. Staton‐Spicer, A. Q., & Darling, A. L. (1986). Communication in the socialization of preservice teachers.Communication Education, 35(3), 215-230.9. Austin, A.E., Campa III, H., Pfund, Christine, Gillian-Daniel, D.L., Mathieu, R., & Stoddart, J. (2009). PreparingSTEM Doctoral Students for Future Faculty Careers. New Directions for Teaching and Learning, 117, 83-9510. Antony, J. S., & Taylor, E. (2004). Theories and strategies of academic career socialization: Improving paths
-long learning. In Frontiers in Education Conference (FIE), 2014 IEEE (pp. 1-8). IEEE.20) Dreyfus, S., & Dreyfus, H. (2014). A five stage model of the mental activities involved in directed skill acquisition [monograph]. California University Berkeley Operations Research Center; 1980.21) Yock, P. G., Zenios, S., Makower, J., Brinton, T. J., Kumar, U. N., Kurihara, C. Q., ... & Watkins, F. J. (2015). Biodesign. Cambridge University Press.22) Creswell, J. W. (2013). Research design: Qualitative, quantitative, and mixed methods approaches. Sage publications.23) Patton M. Q. (2014). Qualitative Research and Evaluation Methods, Sage Publications Inc.; Fourth Edition, 201424) NVivo qualitative data analysis software; QSR
their learning. This includes thetime to allow gradual maturing by the students to understand the process of their learning.Finally, based on the reflections provided by the student, there is more evidence of theirawareness and eagerness to realize the value of lifelong learning.In our courses, during each lecture, students engage in activities/problem solving and discusstheir thoughts, ideas and reflections with their teams. Through these reflections, the studentsreview and summarize their learning from previous lectures and at the same time they activelyengage in the process of thinking and deliberation within the classroom.A day in the non-calculus based class Every class, starts with a brief review, open discussions and Q/A of the last
63.4 11.0 25.71: Q: Question from survey (see Appendix A)2: Total number of students that provided feedback of “Strongly Agree”3: Total number of students that provided feedback of “Agree”4: Total number of students that provided feedback of “Neutral”5: Total number of students that provided feedback of “Disagree”6: Total number of students that provided feedback of “Strongly Disagree”7: % (+): Positive feedback expressed as a percentage (rounded up) of the total number of students that responded to the survey as either “Strongly Agree” or “Agree”8: % (-): Negative feedback expressed as a percentage (rounded up) of the total number of students that responded to the survey as either “Strongly Disagree” or “Disagree”9
, Thailand, August 20 - August 28, 1999[7] R. Ali, N. Abu-Hassan, M. Y. M. Daud, and K. Jusoff, "Information literacy skills ofengineering students," International Journal of Recent Research and Applied Studies vol. 5, no.3, pp. 264-270, 2010.[8] Q. Q. Zhang, M. Goodman, and S. Y. Xie, "Integrating library instruction into the coursemanagement system for a first-year engineering class: An evidence-based study measuring theeffectiveness of blended learning on students' information literacy levels," College & ResearchLibraries, vol. 76, no. 7, pp. 934-958, Nov 2015.[9] P. Ramamurthy and E. Siridevi, "Information literacy search skills of students in fiveselected engineering colleges in Chittoor district, Andhra Pradesh: A
algebra. The following topics areamong those areas: a) How to multiply two matricesIf we multiply a m×n (m is the number of rows and n is the number of columns) matrix by a n×pmatrix, the result will be a m×p matrix. If the number of columns of the first matrix is not equalto the number of rows of the second matrix, we cannot multiply those two matrices.In multiplication of two matrices, if the order of the two matrices change, if still the dimensionsallow multiplication, the result of multiplication will be different than the previous multiplicationunlike the multiplication of two scalars. b) How to write a set of equations with multiple unknowns in the form of matrices.If we have a set of q linear equations with q unknowns, the equations
Chinese students is that they seldom ask anyquestions during the class, but they tend to gather around the instructor after the class and askquestions about the lecture. We believe this is related to the way students are expected to behaveduring lecture, which is to listen and not interrupt. As for NAU taught courses in China, theclassroom follows the more student-centered approach. Every NAU faculty would combine oneor several interactive class activities with traditional lectures to keep the students engaged inclass. Some typical activities include: a) Short Q & A sections: the roles are interchangeable as either the instructor or students can be the one to give questions. b) Asking students to answer short questions with a
average group scoreGavg , given by 1 m Gavg = ∑ G j , m j=1where m is the number of groups in the class and the score of group G j , is given by q G j = ∑ Wi Xi, j . i=1Here, q is the number of scored questions in the survey, Wi is the weight of question i, and Xi, j is the fitnessmeasure for group j with respect to question i in the range [0, 1]. The value of the fitness measure, Xi, j , is dependent on question type and is defined below. For
scheduling and associated modifications asneeded. The acceptance letter also included anticipated benefits and commitments, such as: Participating in STRIDE sessions held once a week Reflecting once a month through an electronic journal guided by instructors Attending meetings for a professional group of your choice recommended by instructors Receiving training on peer mentoring for future STRIDE cohorts Demonstrating the use of recommended study methods weekly, for example, through display of out-of-class notes and Q&A with instructor on notes and weekly schedule.It was also explicitly highlighted that there was no cost to students to participate in the program,and contact
engineering ethics: Assessment of its influence on moral reasoning skills,” J. Eng. Educ., vol. 87, no. 1, pp. 29–34, 1998.[6] J. Henrich, S. J. Heine, and A. Norenzayan, “The Weirdest People in the World?,” Behav. Brain Sci., vol. 33, no. 2–3, pp. 61–83, 2010.[7] Q. Zhu, C. B. Zoltowski, M. K. Feister, P. M. Buzzanell, W. Oakes, and A. Mead, “The development of an instrument for assessing individual ethical decision-making in project-based design teams: Integrating quantitative and qualitative methods,” in Proceedings of the American Society for Engineering Education Annual Conference & Exposition, 2014.[8] R. I. Murrugarra and W. A. Wallace, “A Cross Cultural Comparison of Engineering Ethics Education
Dakota, United States -- South Dakota, 2012.[15] M. G. Brown and D. B. Knight, “Engineering Practice in the Academic Plan: External Influences, Faculty, and Their Teaching Roles,” presented at the 2014 ASEE Annual Conference & Exposition, 2014, pp. 24.502.1-24.502.24.[16] J. M. Bryson, M. Q. Patton, and R. A. Bowman, “Working with evaluation stakeholders: A rationale, step-wise approach and toolkit,” Evaluation and Program Planning, vol. 34, no. 1, pp. 1–12, Feb. 2011, doi: 10.1016/j.evalprogplan.2010.07.001.[17] M. C. Alkin, Evaluation Roots: Tracing Theorists’ Views and Influences. SAGE, 2004.[18] M. Q. Patton, Utilization-Focused Evaluation. SAGE Publications, 2008.[19] K. E. Newcomer, H. P. Hatry, and J
, “Predicting Undergraduate Student Retention in STEM Majors Based on Career Development Factors,” Career Dev. Q., vol. 65, no. 1, pp. 88–93, 2017.[3] J. G. Cromley, T. Perez, and A. Kaplan, “Undergraduate STEM Achievement and Retention: Cognitive, Motivational, and Institutional Factors and Solutions,” Policy Insights from Behav. Brain Sci., vol. 3, no. 1, pp. 4–11, 2015.[4] R. W. Lent, A. M. Lopez, F. G. Lopez, and H. Bin Sheu, “Social cognitive career theory and the prediction of interests and choice goals in the computing disciplines,” J. Vocat. Behav., vol. 73, no. 1, pp. 52–62, 2008.[5] A. Carpi, D. M. Ronan, H. M. Falconer, H. H. Boyd, and N. H. Lents, “Development and Implementation of Targeted
least squares procedure by solving it for all j coastdown data sets in conjunction withsimultaneous consideration of appropriate constraining condition q (a1, j ) so that not only r r2( ) A a − b is minimized but r r2 ( ) A a − b + λ q (a1, j ) = min . , (5)where λ is a Lagrangian multiplier. In this way the coefficients a2 of the different vehicleconfigurations and thus their aerodynamic drag coefficients cd can be determined 7.In Figure 3 the velocity-time histories of the coastdowns of a vehicle with three differentaerodynamic configurations is illustrated. The students’ task was the
operatingparameters of the engine, and complete the First Law analysis on the engine as an open system. Page 12.1001.5The heat loss from the engine to the environment which has a convective and a radiativecomponents is estimated as follows: ( ( Q& = A h (Tsurf − Tair ) + ε σ Tsurf 4 − Tair4 )) (1)where A (m2) is the engine surface area. The convective heat transfer coefficient h, the surfaceemissivity ε, and the
with MathCAD basics from previous courses,which allowed a smooth transition to solving the specific problems encountered in controlsystems.Grading Scheme:100 points each for each of: homework (H), quizzes (Q), midterm exam (M), final exam (F), andproject (P) have been assigned for a total of 500 points. The grade distribution is shown in Table6. A statistical analysis similar to the one in Table 3 for “Course 1” is not given, due to the smallnumber of students in the course. Also, the project for this course is an individual effort. Eachstudent chooses their control system, and performs the modeling and analysis. However a shortpower point presentation is prepared and given in the final class session by each student andcomments are received
Q u J u l 0 7 J a 0 8 C h a
2003 National Industry Academia Dif. Design Phase Q Topic % % % Problem 1 Benchmarking of competitive products 79 69 10 Formulation 2 QFD/House of Quality 78 68 10 3 Engineering design specifications 98 94 4 4 Function decomposition 67 71 -4 5 Function structure 72 63 9 Concept and 6 Reverse engineering 64
) Classroom Response and Page 11.24.14 Communication Systems: Research Review and Theory. Paper presented at the Annual Meeting of the American Educational Association, San Diego, CA, April 2004.5. Jenkins, Maura & Goo, Edward K. (2005) Concept-Based Instruction and Personal Responses Systems (PRS) as an Assessment Method for Introductory Materials Science and Engineering. Proceedings of the 2005 American Society for Engineering Education Annual conference & Exposition, 2005. American Society for Engineering Education.6. Kennedy, G. E. & Cutts, Q. I. ( 2005) The association between students' use of an
2002 d, c 25/27 C H GLSC N Q 1/1 15 Fall 2002 b,d 27/30 C H GLSC N Q 15/15 16 Spring 2003 d, c 27/28 C H GLSC N R 12/12 17 Fall 2003 b,d 27/30 C H GLSC N R 13/13 18 Spring 2004 d, c 24/29 C H GLSC O R 7/9 19 Fall 2004 b, d 21/24 C I GLSC O R
midterm and final surveys.Table 2 contains the responses from the systems engineering students and Table 3contains the responses from the electrical and computer engineering students. The tablecolumns display the question number, the number of responses, average score, andstandard deviation for questions from both the midterm and the final surveys, the changein the average score between the midterm and the final surveys, and the complete text ofthe question. The results merit some detailed comments. Table 2. Survey results for questions asked of systems engineering majors. Midterm Final Std Std Change Q n Avg Dev n Avg Dev in Avg
- (2) It was better when the instructor used the Tablet PC in class Q2. Why? (user had space to elaborate) Q. 3 What effect did the instructor's use of the Tablet PC have on your attention to the lecture materials? - (1) I paid much less attention - (2) I paid a little less attention - (3) There was no effect - (4) I paid a little more attention - (5) I paid much more attention Q.4 Why (user had space to elaborate) Page 11.973.4Figure 1
for the 90 degreepulse. The quality factor of the coil must be high enough in order to achieve areasonable SNR. The quality factor is ωL 2πf L Q= = (2) R RIt is therefore important to keep the inductance L high enough. n2 a2 L= (3) 23a + 25bwhere a is the coil diameter (cm), b the length (cm) and n the number of turns.The coil used in this system is a two-layer 60 turn coil which tightly encloses thesample volume in order to minimize
with MANOVASince similar questions were grouped together (Section 4.2), student ratings to questions of thesame group may be correlated, and MANOVA (Multivariate ANOVA) rather than ANOVA wasused to perform significance tests. For each group of questions, we investigated the significanceof mean difference between EECS and ME, between UG and Grad, and between MEundergraduate students (MEUG) and ME graduate students (MEG) by applying MANOVAusing the Wilk’s Lambda test. Although MANOVA requires that the samples are normallydistributed and with similar variances and covariances, violating these conditions does not causemuch harm [13,14].The null hypothesis for question group Q = {q0, q1, …, qn}, where the qi’s are questions, betweentwo student
Page 23.759.8 earlier. o Students get to follow a process with set objectives; the instructor can demonstrate a sustainability game model to help this process o Student teams present and play their games in front of the class – with Q&A at the end of the presentation; this becomes a real world situation and they have also to explain the “engine” and other sustainability elements.MethodologyIn National University’s graduate courses with the intensive and compressed class schedules, aslightly different approach and yet meeting the overall objectives of the GDM was implemented.This approach leads with the instructor first learning to design and play a course relevant game,demonstrate the game to the students, let the
reported an increase in interest in STEM and the 11th grade girlsreported an increased interest in pursuing engineering in college. The males in both 11thand 12th grade reported a decrease in STEM related fields yet rated STEM skills asenjoyable. Page 25.617.10Figure 9. The 10th grade chemistry classes were all males and indicated that they enjoyed STEMactivities after participating in the electrospinning activity. They also indicated in Q. 19 and Q. 20that they were considering pursuing a science or engineering major in college.Although the attitudes inventory was inconclusive, there was a notable change in thestudent’s comprehension and knowledge