: A Developmental Approach. San Francisco: John Wiley & Sons, Inc. 2012.[4] W. Courville, “Mapping the Terrain: An Overview of Professional Coaching,” in On Becoming a Leadership Coach: A Holistic Approach to Coaching Excellence. C. Wahl, C. Scribner, and B. Bloomfield, Ed. New York: Palgrave Macmillan, 2013, pp. 13-29.[5] R. Boyatzis, M. Smith, and E. Van Oosten, Helping People Change: Coaching with Compassion for Lifelong Learning and Growth. Boston: Harvard Business Review Press, 2019.[6] R. Fields, “Students’ perceptions of an executive coaching intervention: a case study of an enabling education programme” Coaching: An International Journal Theory, Research and Practice, vol. 11, no. 2, pp
Bandura is used as the theoretical foundation for this study. It incorporatesthe elements of behavioral and the cognitive aspects of learning such as attention, motivation,and memory functions [13-14]. According to this theory, the learning outcomes depend on threefactors:(a) personal factors: internal cognitive factors based on knowledge and attitude(b) behavioral factors: outcome expectations influenced by observable behavior in others(c) environmental factors: social norms, community access, social support, and barriers The social cognitive theory was applied to this study to explain the relationship between anindividual student, the peers or instructor/TA, and the learning environment. A visual illustrationmodeling this relationship is
from Virginia Tech.Dr. Jeremi S London, Virginia Tech Dr. Jeremi London is an Assistant Professor in the Engineering Education Department at Virginia Poly- technic Institute and State University. London is a mixed methods researcher with interests in research impact, cyberlearning, and instructional change in STEM Education. Prior to being a faculty member, London worked at the National Science Foundation, GE Healthcare, and Anheuser-Busch. She earned B.S. and M.S. degrees in Industrial Engineering, and a Ph.D. in Engineering Education from Purdue University.Dr. David B Knight, Virginia Polytechnic Institute and State University David B. Knight is an Associate Professor and Assistant Department Head of Graduate
Eibenschutz, S. M. A. Awadh, L. and El Said,“Being female and an engineering student in Qatar: Successes, challenges, andrecommendations, ASEE 2017 Annual Conference & Exposition, Columbus, OH, June 25-28,2017. [Online]. Available: https://peer.asee.org/being-female-and-an-engineering-student-in-qatar-successes-challenges-and-recommendations (Accessed March 5, 2021].[11] M.S. Alsheeb and A. Hodges, “The impact of socio-cultural factors in Qatar on females inengineering, ASEE 2019 Annual Conference & Exposition, Tampa, FL, June 15-19, 2017.[Online]. Available: https://peer.asee.org/the-impact-of-socio-cultural-factors-in-qatar-on-females-in-engineering (Accessed March 5, 2021].[12] C. Seron, S. S. Silbey, E. Cech, and B. Rubineau, “Persistence
expressed in this material are those of theauthor(s) and do not necessarily reflect the views of the National Science Foundation.References1. Khasawneh, M., Bachnak, R., Goonatilake, R., Lin, R., Biswas, P., Maldonado, S.C.,(2014) “Promoting STEM Education and Careers among Hispanics and Other Minorities throughPrograms, Enrichment, and other Activities.” ASEE Annual Conference and Exposition,Conference Proceedings, 2014.2. Martinez, D., Jacks, J., Jones, D., Faulkner, B. (2010). “Work In Progress – RecruitingInitiatives for Hispanic, First-Generation Students.” 40th ASEE/IEEE Frontiers in EducationConference, 2010.3. Enriquez, A., Langhoff, N., Dunmire, E., Rebold, T., Pong, W. (2018). “Strategies forDeveloping, Expanding, and
employingvaluation tools and benefit-cost analysis (among many others) to study the financial feasibility ofengineering projects. Unfortunately, for projects involving nanotechnology, the finances aremainly speculative since commercial applications of nanotechnology are mainly at its infancy.H , a a a (SME ) a a aproducts and listed at NASDAQ. This is because such companies would have their financialstatements freely available in the internet. The module consists of designing sample valuation b SME a a .W Fa 2011,expected that it shall help students understand a financial statement, the future sway ofnanotechnology
device families and the software used forimplementation. Programmable Logic versus MicrocontrollersThe following will compare and contrast the differences between an application implementedusing VHDL and a CPLD, or C programming and a microcontroller2, 3. A simple Booleanexpression will be used for this purpose: f = a • b + c.Implementation using VHDLSimple Boolean expressions may be programmed using a schematic interface in which a logiccircuit is drawn. For the purpose of contrasting a VHDL implementation to C, the code will beused. Figure 1 shows the architecture block of a VHDL program used to implement:f = a • b + c. architecture boolean of bool is begin
and problem setup B. Solution strategy A.2. Initial conditions A.2. Boundary conditions C. Problem geometry A.3. Modeling and constraints A.3. Kinematics D. Free body diagrams B. Describe position vector C. Free body diagram E. Force equilibrium C. Compute velocity and accel. E.1. Force equilibrium F. Moment equilibrium D. Free body diagrams E.2. Moment equilibrium G. Distributed effects E.1. Balance linear momentum F. Strain-displacement relationships H. Solution process E.2. Balance angular momentum G.1. Constitutive equations I. Internal
code of 7 bits per ship (6 bits for the rowand column of the ship’s upper left square, plus one bit to saywhether the remainder of the ship lies below or to the right). Students discussed whatinformation needs to be established between the communicating parties in advance, in addition tothe basic mapping (000=A, 001=B, etc.). For example, the 64-bit message requires agreement onthe raster scan order, and the 21-bit code requires agreement on the ship order (e.g., longest toshortest).Next, modulation was introduced as a mappingfrom individual bits or groups of bits in the sourceencoded message to transmission symbols. Theinstructor showed transmission with a flashlight;each wave (ON or OFF) conveys one source bit asone transmission symbol. With
activities. The final lab was a guided-inquiry activityfocused on experimental design. Using only materials available at home, students measured theYoung’s modulus of aluminum and used their results to design a hypothetical product. In order toprovide the same opportunity for students around the world, the test specimen was taken from an (a) (b) (c)Figure 1: Examples of student-designed experiments: (a) The steel deformed into a coil spring.(b) Still from a video demonstration of a “fracture test” on a piece of chocolate. (c) Diametraltension test on an aluminum can.aluminum beverage can. An example of a student-designed experiment from Fall 2020 is shownin Fig
improvement throughout the life of the REU program. By the endof the research experience, the goal was that participants in the REU would be able to:(a) demonstrate an understanding of the tools available for modeling and computationalresearch;(b) state and communicate a research problem and research goals in a domain, with theguidance of a research mentor;(c) plan and complete a research task with the guidance of a research mentor;(d) demonstrate intellectual independence and creativity; and(e) communicate the research problem, goals, plan, work, and results to diverse audiences.Recruitment efforts were to target rising juniors and seniors who have strong mathematics andphysics backgrounds. Some exposure to engineering coursework was desirable, but
Course(course id, Name, Instructor); Has (course id, student id) Student (student id, FirstName, LastName, Age, Year, Major)The following query (Q1 ) will find the major of a student named ”James Smith”:output(E) :- Student(A, B, C, D, E, F), B = "James", C = "Smith"Student(A, B, C, D, E, F) is the definition of the Student relation with eachvariable corresponding to each field in the student relation. For example: A representsstudent id, B represents FirstName, C represents LastName. This query has twoconditions: B = "James" and C = "Smith" and projects (i.e., outputs) the result of E,which is the Major attribute.A more complex query (Q2 ) that finds, for each course, the number of students majoring inECE:output(B, V0) :- V0 = Course(_, B
implementation of CFT. In Section III, we describe multi- student only get 3 credits after completing all 31 problemsple aspects of CFT design in helping students learn computer successfully; if a student completes 10 problems success-programming. In Section IV, we present our experience of fully, then he/she only gets 1 extra credit. We found thisusing CFT in three semesters at UConn. Lastly, Section V small extra credit was important to incentize students inconcludes the paper and presents future work. completing more CFT problems (see Section IV-B). When CFT is being implemented in a different institution, two numbers facing up will be 24? Express your
(the students) closer to the realities of the workplace.E ,b a a ,a a a ba a aa agraduates, but find them largely unaware of the vital roles that engineers play in bringingproducts a a a a a .A a a a ba that faculty members, today, often lack industrial experience and/or any other typeof practical experience. This is particularly troubling when faculty members, straight out of a a a a ab b , a a apractice-related courses. Often, teaching design-oriented and/or field-related subjects do require - a at instructors
school classroom A consisted of one junior and 21 seniors who hadbeen enrolled in two or more engineering courses throughout their high school career.High school B has a student population that is 48% white, 22% Hispanic, 16% Asian, 8% Black,6% other races and 19% of the student population in High School B are on free and reducedlunch. High school classroom B consisted of all senior students enrolled in their first engineeringcourse, however, they had a week-long drafting lesson and some introduction to CAD earlier inthe school year. Of the 45 students tested, all but three students completed both the pre and post-assessment, these three students were excluded from the analysis because of the missing data.2.2 InstrumentsStudents’ performance was
Capacitor 100nF 3 142.3.2 Common Source Amplifier: Fig. 5 (a) shows the schematic of a conventional common sourceamplifier. The resistance load and the bias current can be tuned to obtain various gain values. Fig. 5(b)shows the proposed reconfigurable common source amplifier. This circuit is implemented in the 3rdblock in the breadboard (from top to down) as shown in Fig. 3. The common source amplifier takessingle ended input and amplifies the signal with respect to a common ground. The p-type MOSFETsare represented by mechanical switches shown on the schematic, the parallel MOSFETs are controlledby a decoder so that when one is ON the other is OFF. As shown in the schematic, the load can beswitched between 1k
senior high school students to math and programming with application in engineering through hands-on real-world projects, b) Increase motivation and practice deep thinking using problem-based learning methods, c) Teach them a powerful programming language (MATLAB) that they can use it for many different applications, d) Recruit students into University of North Dakota engineering program, and e) Provide fun and exciting experience of how math can be used for engineering problem solving. 226Learning outcome of the camp can be summarized as: 1. Learn basic scientific programming skills and gain experience using MATLAB, 2. Gain confidence
Self-Regulation 9 Presentation Anxiety 4 Study Subjects and Data Collection Study subjects are students of the senior capstone design course. Two cohorts of senior designstudents participated in this survey. 187 students and 179 students from Cohort A and Cohort B,respectively. Cohort A and Cohort B indicates the class of 2017 and class of 2018 of seniorcapstone design course respectively. The cohorts are further divided into fall semester surveyresponses, and spring semester responses. The cohorts are divided per semester, and not teamtypes. Thus, the data is analyzed as fall and spring semesters. Both the cohorts have the sameinstructors. The instructor for the senior capstone design
presented above.(B). Strongly Image isDisagree from Inman’sDisagree Engineering Vibration Neutral [12]. Reprinted Agree by permission of Pearson Strongly AgreeEducation. ⇤ ⇤ ⇤ ⇤ ⇤ Q1: I am interested in this problem. Q3: The scenario presented in this problem seems realistic.Students received a particular version of the problem to work as an individual homework Strongly Disagree Disagree Neutral Agree Strongly Agreeexercise
. Students were given areport template for each lab to provide a standard format and to give examples of good writingpractices. Each successive template included less pre-written content. (a) (b) (c) Figure 1: Three examples of student-designed experiments for Lab 4: (a) Folded “accordion spring” design. (b) Torsional spring. (c) Diametral tension test.Peer-teaching video activitiesAlongside the second and third lab activities, students were asked to create and share 5-minutevideos about mechanical testing. For the second lab, students recorded a low-fidelitydemonstration of the uniaxial tension test with household materials, describing the importantaspects of specimen design
. Which string has greater tension? Why does Styrofoam rise faster?Group AGroup B Approximately half of the students in the study (N=24) were randomly selected and given aversion of Activity X which included an additional non-numerical question (Group B). In this Proceedings of the 2011 North Midwest Section Conferencenon-numerical question students were asked to compare the tension forces on two identicalStyrofoamTM blocks held under water at different depths with a string as shown in Table 1. TheActivit X assessments were collected b the instructor and the students performance recorded.These activities were then returned to the students the following class period along with ananswer key for the corresponding
Communication, Initiation,Reduction, and Extension (Figure 1). This model was developed based on four critical aspects: a)a combination of teaching practices employed by the author during lecture sessions; b) post-courseevaluation of teaching experiences; c) literature on instructional best practices; d) sensitivity ofcircumstances surrounding students during COVID-19. The combination of experientialknowledge, post-course reflection and scholarly literature provided a framework through whichthe purposed model was conceptualized, developed, and implemented. 4. Granting 1. Constant Extensions on
wasgiven as extra credit towards their final grade. Students had to attend a majority, but not all, classlectures to receive the maximum amount of extra credit points, which was capped at a 3% boost totheir final grade. Students who did not attend a majority of lectures received a portion of the extracredit points that correlated to the number of lectures they attend. While this method for awarding 2 a) b)Figure 1: Selected problem from the beginning of the course for calculating the real power dissipated by a single phase system. (a) is the selected problem with the multiple choice answers given.(b) is the student responses, and the correct answer is marked in green.extra
to follow the instructor. Inclassrooms specially set up for lecture capture at The Citadel, cameras in the room are eitherfixed or must be controlled manually by the instructor. The SWIVL takes away this manualcontrol element. The audio using this setup is also an improvement upon an iPad alone or awebcam setup. The microphone on the marker and USB speaker greatly improve the ability tocommunicate with students who attend remotely. The biggest drawback using this method is thatthe video quality is limited to the capability of the iPad’s front-facing camera. Depending on theplacement of the SWIVL, this can make it difficult for remote students to see the board. (a) (b) Figure 1: A
architectures, and computer architecture. He has a 25 year history of teaching excellence at the undergraduate and graduate levels. His teaching skills have been recognized with an Iowa State University Teaching Excellence Award, the Iowa State University Warren B. Boast Award for Undergraduate Teaching Excellence, and the MSOE Oscar Werwath Distinguished Teacher Award. Dr. Meier maintains professional memberships in the American Society for Engineering Education (ASEE), the ASEE Electrical and Computer Engineering Division (ECE), the ASEE Educational Re- search and Methods division (ERM),the Institute for Electrical and Electronics Engineers (IEEE), the IEEE Computer Society, and the IEEE Education Society. Dr
informative and engaging, andstudents asked questions both during and after the presentation. The exact number of questionswas not tallied. The four topic areas covered by the GLs are shown in Table 1.Table 1: Guest Lecturers’ information and topics. Guest Lecturer Topic Employment Background A Steel Processing Major Steel B.S., Materials manufacturer Science and Engineering B Polymer Research University-based Ph.D., Materials and
established, known as the “a” through “k” outcomes. Evaluation of outcome“b”, “a graduating student should have an ability to design and conduct experiments, as well asto analyze and interpret data” was accomplished using a well-designed rubric, as is the subject ofthis paper. The rubric was established and administered in CEE-346L, Geotechnical EngineeringLaboratory. The means of assessment was a particular laboratory experiment, One DimensionalConsolidation Test. The rubric consisted of several indicators in each of the categories: “1” –Below Expectation, “2” – Meets Expectation, and “3” – Exceeds Expectations, with a desiredmetric threshold score of 2 or greater. The rubric was applied to the entire class for the selectedlaboratory exercise during
Aviation A served as an expert witness on similar committees to ATIC; is Consultant always keen on expressing the viewpoint of pilots. A is concerned that authority for decisions during flights has shifted from pilots to technology and that decisions about pilot training have been determined by business interests rather than pilots' needs. B Professor of B is an expert on aeroelasticity, specifically nonlinear Aerospace aeroelasticity flight dynamics of highly flexible wings. B provides Engineering insight regarding the change to the wing placement to incorporate
assessments. The COVID-19 pandemic also introduced variation aboveand beyond normal course offerings that would further dilute meaningful interpretations of directcomparisons. Instead, the research design incorporated both quantitative and qualitative methodsguided by the following two research questions: 1. How did instructional changes impact student performance and student attitudes toward programming? 2. To what extent were student attitudes toward programming related to student performance? B. Research ContextThis study was conducted on a required first year programming course in the mechanicalengineering and bioengineering program at a small midwestern private university across twoacademic years. The course included 43
enrolled in Engineering Management (EM), Industrial and SystemsEngineering (ISE), and Mechanical Engineering (ME) degree programs at Stevens Institute ofTechnology during a third-year required engineering design course. These students make up thefirst cohort of a two-year study. The EM and ISE students are taught in a combined section of 23students (referred to as Section A), where market-driven design is highlighted throughout thecurriculum and multiple assignments are collected and analyzed. The ME students are taught intwo sections of approximately 54 students each (Sections B and C). In Section A, 43 percent ofthe students identified as female and 35 percent as non-white, which is typical of nationalengineering student ethnicity demographics