matter, pedagogical approaches, political and personal preferences, orother criteria as dictated by a dynamic group of stakeholders. Many changes originate from aclearly defined need or mandate, while others may sneak in without a full analysis of the course.Repeated and often subtle changes compound to have a significant impact on the course, creatinga narrative reflecting the intents of the faculty and the concerns of the institution as course goalsand methods are updated in each subsequent semester.This paper describes a process to employ engineering education research methods to describe thenature, development, implications, and motivation behind of course changes. We define a sixstep process focused on the use of artifact analysis to
startup businesses. The paper discusses theevolution of the student group from the engineering economy course and the work of theentrepreneurship consulting group that is receiving much attention from program advisory boardmembers, startup businesses, and university leadership.DisclaimerThe views expressed in this paper are those of the authors and do not necessarily reflect theofficial policy or position of the U.S. Air Force, the U.S. Department of Defense, or the U.S.Government.Introduction and MotivationCompany executives from Alcoa, ADT, and Armstrong among representatives from othercompanies that serve on the Industrial & Professional Advisory Council (IPAC) and a ServiceEnterprise Engineering Advisory Board (SEE) in Industrial
reading or video assignments that prompted students to thinkabout concepts and strategies for success in what they read or watched, reflect on newknowledge they gained, and how these strategies applied to their own journey throughengineering education.The second hour of the lecture meeting was generally used to explore engineering careersand conceptual background and applications for the lab activities and design projects.Topics included measurements and error analysis, computational methods and analysiswith MATLAB, mechanical properties of materials, trusses and structures, fundamentalelectronics, sensors and signal conditioning, Arduino programming, and robotics andsimple control scenarios.All of the lab activities and design projects listed in
multinational projects in an introductoryengineering design course. This paper reports the preliminary findings from a survey based onthe Intrinsic Motivation Inventory (IMI) given to students before starting their participation inthe multinational projects. The data collected provides information in five constructs which are:interest/enjoyment, perceived competence, pressure/tension, perceived choice, andvalue/usefulness. These constructs provide a perception about students’ interests, belief, andfeelings about the international project that reflect their level of motivation and confidence tocarry on the tasks. The data is evaluated and considered in the development of the learningmodule to be incorporated before the project in the same course in the
and Jerusalem.3.2 Ira A. Fulton College of Engineering and TechnologyThe Ira A. Fulton College of Engineering and Technology at BYU currently has an enrollment of4000 students in five engineering and five technology programs. The college awardsapproximately 600 B.S., 100 M.S. and 20 Ph.D. degrees in a year. These degree totals reflect thedirection of the Board of Trustees that BYU remain predominantly an undergraduate institution.About half of the graduates go on to graduate school.The current college administration began to serve in May of 2005. It was natural that we tooksome time to identify strategic directions we felt would help prepare our students for success inthe 21st century and increase the visibility of the college.Concurrent with
’ qualitativeunderstanding of basic concepts and principles. CI’s typically consist of multiple choicequestions with one correct answer and several “distractors” that reflect common misconceptions.The misconceptions are usually identified through formal research processes, such as using focusgroups in which students answer questions and explain their reasoning in an expository manner. A CI can be used to assess both individual student learning gains and effectiveness ofpedagogical strategies, particularly by measuring differences in performance via pre-test (beforeinstruction) and post-test (after instruction). If the CI is not appropriate as a pre-test, then itsability to measure learning gains might be established via other correlations, such as with
”indicates the validation team’s certainty about their judgements using a three level scale: 1 = notvery sure, 2 = pretty sure, and 3 = very sure, and “Relevance” reflected how well they thought anitem measured what was intended to be measured, using the following scale: 1 = low/norelevance, 2 = somewhat relevant, 3 = highly relevant. Netemeyer, et. al.9 also recommendedretaining items with sureness and relevance levels higher than the means. The items included inthe questionnaire have Sureness > 2.17, which means the judges were quite sure about theirjudgments, and Relevance > 66%, which means more than 66% of the judges rated this item asrelevant to what was intended to be measured. After the content validation process, all 37 itemswere
Criterion 3 modifies and restructures the previous 11 outcomes (a)–(k) intoseven new student outcomes (numbered as 1–7).15Notably, the seven new outcomes omit the phrase “life-long learning.” This motion represents asignificant time of reflection in engineering education: a time when reform to accreditationrequirements could dramatically change the way engineering is taught. Despite the potentialremoval of the phrase “life-long learning” from the prescribed outcomes, professional engineerswill still need to possess the characteristics of a life-long learner to be effective. To this end, ourfindings demonstrate several components of life-long learning that are currently being capturedby different engineering programs. Of these current components
. Parametric solid modelling and surface modelling are the basic CAD technologies. Solid modelling creates a model that has the filled volume. It closely represents a physical object by having data of physical properties such as mass, density, along with the geometric information. Surface modelling, on the other hand, generates the outlook of the objects as a surface model but doesn’t reflect the physical properties as in a solid model. Solid modelling is preferred over surface modelling in AM as it has simpler representation of geometric information and provides information that is useful to generate tool path. 4. 3D scanning technology enables reverse engineering of a physical part
variables such as gender, race, ethnicity, family’seducational background, and socioeconomic status. English et al. (2013) reported findings from a STEM-based lesson in whichstudents explored engineering concepts and principles pertaining to simple machines.The students clearly indicated how the machines were simulated by the materials. Thestudents were also able to reflect on different aspects of their design, especially onmaterial properties and how they affected stability. Allowing students to suggest ways toimprove their designs provided opportunities for further reflection in subsequent designprocesses. In general, students did not make explicit references to underlyingengineering and science principles, but they were able to link
used with cautionand only adjust the model if they are consistent with theory. In this case, the wording ofQ8Eng_k and Q8Eng_l are very similar and these measurement items capture similarinformation about students’ competence beliefs; therefore, this modification was made and theresulting model better reflects the data implied matrix.Figure 2. Confirmatory factor analysis of the latent constructs of identity: interest (Int),recognition (Rec), and performance/competence (PC) beliefs for 2790 students in first-yearengineering at four U.S. institutions during the fall semester of 2015. All paths are significant atthe p < 0.001 level. Image generated using the semPlot package in R74,75.The confirmatory factor analysis indicates that the data do
spaces; is it the same or different?Our studyThis research project is investigating three very different universities with engineering programsthat have embraced the maker culture: University B, University A, and University C. Each ofthe spaces are different, reflecting the differences in the institutions. University B is first andforemost a technological institute with the majority of undergraduates majoring in engineering.Its maker space, housed within the Department of Mechanical Engineering, is operated by a 70person team comprising of 65 undergraduate volunteers and 5 non-student members. The makerspace comprises five rooms totaling 2,500 square feet that includes a rapid prototyping suitewith six 3D printers having various material
Concept Inventory20. Additionally, the moderate correlation coefficientsbetween the inventory scores and exam scores fall in the range of values found in previouspublications comparing concept scores to problem-solving skills16. This fits with the observationthat much of the final grade and the exam scores reflect assessments of problem-solving ratherthan conceptual understanding. Overall, the expert selection of questions for the 11-questionsubset and the significant correlations between the aDCI scores and other assessment metricsprovide evidence that the aDCI is sufficiently valid for use in this study. Table 2. Spearman correlation coefficient (ρ) for aDCI scores and other performance metrics. aDCI Pre-Test
, demonstrate thecapability of mobile platform specially the Android platform which bear the testimony thatmobile platform can be made efficient in controlling robot.Preliminariesi. UMLUnified Modeling Language28 widely known as UML is a software engineering tool used formodeling software systems. Fundamentally it is used as a tool for analyzing, designing andimplementing software intensive systems. UML provides a visual representation of the systemwhich reflects the standard and interactive organization or system’s elements. From thebeginning till now, there are several versions of UML have been evolved and UML 2.0 is usedfor the modeling of our system. UML offers two types of system modeling, one is structural orstatic modeling which require the
paper’s style and structure also meld twodistinctive document types—technical report and narrative essay—in order to reflect upon asmall-scale, field-test type experiment and to identify initial positive or negative trends withinthe experience.Instructional ConceptThe development of a specialized grammar course for engineering and other STEM students waspredicated upon four assumptions. The first was that possessing a complete functionalunderstanding of how sentences work can help students to produce technical documents that areclear, concise, and correct; and second, that adequate grammatical skills are too often missing inengineering and STEM majors.Another assumption was that engineering and other STEM students already have mastery in
; this may suggest that students andfaculty have different ideas of what constitutes a critical thinking skill.(3) Faculty perceived students learning how to work independently as a much lower rate thanthe students themselves identified, likely reflecting what each group would consider to be“independent” work. Faculty also saw significantly less success by the students in learning howto conduct a research project (#6), which may indicate that the students are not fully sharing theirmentor’s vision of what is involved in conducting research at a high level. This is mirrored bybenefit #8, regarding a student’s research skills, which a much larger percentage of studentsthought was a benefit received in comparison to the percentage of faculty who
other outcomes that resulted from offenses. Finally, the findings wereorganized into themes. Several steps were taken to ensure the quality of the findings. First, after thetranscriptions were produced, the audio recordings were checked against the transcripts to verifythe accuracy of the data. Second, transcripts were sent to participants to verify the accuracy ofcontent and meaning; no participants responded with changes to their transcriptions. Finally,because five researchers analyzed the data, and the five had various backgrounds andperspectives, the researchers reflected on their positionalities and subjectivities. This process ofbeing reflective helped them acknowledge who they were – and the biases they held – relative tothe
in the description of both cases—regardless of cultural and institutional differences—there are several common places between the two approaches to change presented in this paper(see Table 2 for a summary). There is a common motivation and goal, which is achievingexcellence in engineering education within the region and worldwide. Although each institutiondescribes its guideline principles in a different way, they all respond to the logic model suggestedby CORFO. Of note is that both leading engineering schools were aware of previous experiencesrelated to cultural change in engineering education and to the creation of university-basedentrepreneurship ecosystems. This awareness can be reflected in three major change strategiesconsidered from
deemedundesirable by the IABs: 1) the program was offered only in the summer sessions; 2) it requiredconsiderable academic supervisor oversight; 3) the internship grade was mostly determined bythe academic supervisor; and, 4) as a writing intensive course, some of the program requirementswere consuming students’ working hours in a manner that was inefficient. Specifically, theinterns had been required to prepare daily logs that painstakingly described the details of workengagement by the hour and an equally tedious, descriptive account of reflections of the studentson those activities. The summer-based, five-week long regimen could not permit the industry toaccomplish much of substance with an intern. The department’s industrial partners also had todeal
student-student learning through online collaboration, where students and staff have interactive discussion forums, access to units, assessments items and engage with lecturers, tutors and other students.20 3. Reimagined learning experience through media-rich study materials and virtual learning environments.21 4. Providing modern tools (such as e-Portfolio) for storing, organizing, reflecting and sharing student learning with others.22 5. Online peer support, seminar groups and workshops to improve the students study skills.Deakin University students also have an opportunity to alternate and combine on-campus andonline education study modes into the undergraduate engineering program on a course-by-course
the role of mentors inattracting underrepresented students, previously constructed instruments from 12 in theirattitudinal study of CS in the Level Playing Field’s Summer Math and Science Honors Academy(SMASH) were used. Additional instruments were developed by the researchers to measurecultural competency. The survey uses a 5-point Likert scale (where 1 = Not Really, 3 = Neutraland 5 = Absolutely).Along with the surveys, interviews were conducted to get a deeper sense of the effectiveness ofthe BJC curriculum in attracting historically underrepresented students. These audio-recordedinterviews were conducted at the university with participants that either attended CS10, CS61A,or both. Furthermore, participants were carefully chosen to reflect
applicable to asignificant population of students and educators. Further, this case study is relevant toengineering education in that it centers around a classroom that is engaged in “application ofscientific knowledge to an engineering problem,” and NGSS frames this case study as anexample of its “vision of blending disciplinary core ideas, scientific and engineering practices,and crosscutting concepts.” Throughout this paper the authors examine and reflect on the purposes of science andengineering education as well as the ways in which large-scale science reforms (such as NGSS)attempt to address issues of access and equity that continue to persist in science and engineeringeducation. In future, the authors hope to analyze other NGSS case
. Using provided parts, the students must deliver a working prototype topass the project.Figure 5 is an annotated image of the students electrical design developed during theirjunior design course.OpticsCourses: PH113, PH292(Optional), OE280(Optional), OE295, EP410, EP411, EP415EP students graduating from RHIT are also expected to be proficient in the field of optics.Training in optics begins in the third quarter of their freshman year in introductory Physics. Inthe PH113 course, the students are introduced to basic concepts in the field of optics such as:basics of electromagnetic waves, reflection and polarization, diffraction, and simple geometricand physical optics principles. Following this course, the students have the option of taking
QuestionsFollowing from this perspective, we aim to address the following questions: • How do representations of students by instructors function during a meeting in which instructors are working to determine grades for the course? More specifically: o How do the instructors position themselves and one another? o How do the instructors position students within categories that have consequences for success and lack of success? o How do these positionings reflect an instantiate particular ideologies and sets of values regarding calculus and its role in engineering?4. Research Context, Data, and MethodsOur research focuses on a the Access Program, a diversity-promoting program in
techniques,such as team building, design-thinking, ethnography, empathy, observation, technologyvaluation, professional interactions, interviewing skills, videography and clinical etiquette.Students were trained to document observed clinical problems by way of four multi-modal tools:These included (1) Written logbook documentation, followed by reflection and compilation ofthese notes; (2) Clinical video interviews that further pressed the initial observations madeduring the shadowing and allowed the students to gain greater insight into the problems theywere observing; (3) A mind-mapping process (MindMeister: mind mapping software (Munich,Germany)), through which the students organized their observations and clinical contacts as ateam, and (4) The
time it took the unit to get to idle rpm, but the difference was not considerablecompared to all the positions at 0 degrees. Based on the results reflected in Table 1, the Darrieusturbine output the maximum RPM at a wind speed from 14-17 mph. At higher speeds the windstarts to affect the opposite blades in which the tangential force is being applied, and theperformance of the Darrieus starts to decrease.Wind Speed Acceleration Rotations per Deceleration Torque Power (mph) Time (sec) Minute(rpm) Time (sec) (Nm) (Watts) 5 270 14 240 8 4 8 225 21 270 21
summary thatprovides an assessment of student performance and is mapped to reflect linkage with appropriate1-22 outcomes.The entire departmental assessment process is predicated upon twenty-two outcomes developedand adapted from ABET, Criterion 3, student outcomes A-K2 and ASCE Body of Knowledge1.Each outcome provides a succinct statement describing material students are expected to learnover a four-year development period before graduation. Attainment of proficiency for eachoutcome is measured using Embedded Indicators based on mapping to the six levels of Bloom’sTaxonomy15,16. Table 2 summarizes the CEE Department nine professional skills relatedoutcomes. Course Embedded Indicators on tests, assignments, and projects are used to evaluateCEE
of the authors) read and color-coded the transcripts according to the11 themes listed in Table 1. Related text was classified by giving each fragment of color-codedtranscript a unique identification number, and entered into spreadsheet columns and rows forindexing and to facilitate comparison of each coder’s responses. The inter-rater reliability wasdetermined through visual comparison of lines of coded text from each coder. Findings reportedin this paper reflect only the text with unanimous thematic agreement by all three readers.FindingsSurvey and focus group analysis showed that CU Teach Engineering students are enthusiastic toexplore their interests in both engineering and teaching. They view engineers and teachers asdifferent, but find
. For the studied group of engineering students, there are no significantcorrelations between Creativity Index and GPA or the Creativity Index and SAT scores,indicating that SAT scores and GPA are poor predictors of creativity. Because creative potentialis not reflected in the current evaluation methodology, the most creative engineering studentsmay not be at the top of their class, so their unique potential may be underappreciated inengineering programs. This observation indicates the urgent need to revisit the studentevaluation is performed in the current engineering education. Potentially low GPA of highlycreative engineering students may become an impediment for their recruitment for jobs that arehigh demand for creative ideas. The
to the Accreditation Board for Engineering and Technology (ABET) evaluatorswhen they reviewed the college, which had potential to reflect negatively on the department. Theprofessor responded that only 10% of the students had voiced concerns, and that did not seemlike an unreasonable number.Seven weeks into the semester, several students wrote a critically reflective letter outlining theirconcerns about the flipped classroom structure. This was addressed to the chair of thedepartment, the associate dean of the college, the dean of the college and the president of theuniversity. The concerns were: 1) no notice prior to registration was given that the class wouldbe flipped, 2) the online videos allowed no face-to-face interactions among the