measured by experts in the different fields). The list ofdescriptors is shown below in Table 2. Our assessment strategy entails asking the students toself-evaluate in these 18 areas both before and after they are exposed to the set of CG techniquesdescribed previously. We propose that the difference between their before and after assessmentin these 18 areas is a measure of their increase or decrease in creative ability. Both a controlgroup and experimental group are used as described in detail in the assessment sections below. Table 2 – Gough’s List of Creativity Descriptors Capable Egotistical Informal Interests wide Reflective Sexy Clever Humorous Insightful Inventive
14.613.9Figure 4: KAI score distribution for male students only Page 14.613.10Figure 5: KAI score distribution for female students onlyIn considering the sub-groups sorted by gender, the male students contained both the mostAdaptive and the most Innovative students in the total sample (as expected from generalpopulation studies19), but the female student group also contained individuals with highlyAdaptive and highly Innovative cognitive styles (within a total range of 79 points). While themale students reflected a distribution similar to that of the general male population (mean of 98),the female students (on average) showed a slight skew towards Innovation when compared to thegeneral female
results. Mostimportantly, it challenges us to reflect on how we come to determine grades if the students areunable to collectively concur with our assessment process. The concluding question asks, is thisproposed model correct and if so, does it have the necessary pedagogical components for moremature student centered higher learning in the classroom?ReferencesAlbert, R.S. (1975). “Toward a behavioral definition of genius.” American Psychologist, 30, pp. 140-151.Alexander, C., Ishikawa, S. & Silverstein, M. (1977). A Pattern Language: Towns, Buildings, Construction. New York: Oxford.Alexander, C. (1964). Notes on the Synthesis of Form. Cambridge, MA: Harvard University Press.Amabile, T. M. (1983). “The social psychology of creativity: a
outcomes of that were intended to facilitate the student’s professionaldevelopment. However, the professional development opportunity was intended to be a subsetof course experience. Emphasizing the importance of reflection in promoting more broadintellectual development, Van Gyn [10] proposed that "if co-op is only a vehicle for experienceto gain information about the workplace and to link technical knowledge with workplaceapplication, then its effectiveness is not fully developed." To this end, the course was alsointended to draw on the international and cultural experiences associated with the class activitiesto enhance student’s intellectual development in terms of their understanding of architecture andthe global and historical context in
’ achievement of theobjectives (either for a particular question, an assignment, or for the whole course). There are avariety of different ways of measuring student progress. For instance, assessment can be donewith respect to a standard developed by the instructor or it could be done with respect to otherstudents in the course by curving the grades. In either case, great care must be done to make surethe assigned grades reflect the level of understanding of each student.To accurately assess students, it is important to remain fair to all students. Being unfair orinconsistent will often lead to inaccurate evaluations. While almost all educators strive to beunbiased during grading, it is possible to be inconsistent during grading without
and following those changes in strategy.Data Analysis Through deep immersion in the culture and data, themes and connections to theAdaptable Learning model were generated 18. Focused coding 20 was conducted to identifyinstances where participants engaged in appraisal statements. Using contextual clues, theseappraisal examples were then classified as mastery or performance mode examples. Thedescriptions of events developed reflect a discussion of observed learning and study sessionstrategies and observed utterances of appraisals that occurred before and after changes instrategy.Results These findings focus on descriptions of events from the two selected observations. Thefirst observation represents mastery intention evidenced by
Allahabad and the state of Uttar Pradesh wereresponsible for the high defect levels. Not long ago, the author also came to know aboutthe high level of internal excellence of the Dabbawalas from a Newspaper article [12]. So,the six sigma process of the Dabbawalas was only partially responsible for theirexemplary performance, the high level of internal excellence contributed to their successas well. The bottom-line is this: What six sigma considers as minimum variance is reallynot the true minimum variance state and therefore, further improvement in performance ispossible by increasing the level of internal excellence. These findings are reflected inFigure 6, and they have profound implications for a better and a more peaceful world. Thefindings also
identify systematicallyparticular aspects of latent diversity that are most important to understanding student success andchallenges in engineering through a national survey of first-year engineering students andlongitudinal qualitative data collection.AcknowledgmentThis work was funded by a National Science Foundation EEC CAREER grant (No. 1554057).Any opinions, findings, and conclusions or recommendations expressed in this material are thoseof the author and do not necessarily reflect the views of the National Science Foundation.References1. Chubin DE, Babco EL. Diversifying the engineering workforce. J Eng Educ. 2005;94(1):73-86.2. National Science Board. The Science and Engineering Workforce: Realizing America’s Potential. (National
two experienced Freeform instructors was video recorded over the course of the Spring2016 semester and subsequently analyzed with respect to instructor actions. Continuous videocoding analysis was used to capture how much time these two instructors dedicated to variousinstructional activities such as assessments, traditional lecturing, demonstrations, and writing notesor examples in real-time. The analysis provides a clearer picture of how and when these twoveteran instructors employed active, blended, and collaborative approaches in their classrooms.The implications of the analysis are two-fold. First, we strive to improve Freeform instruction atour institution by providing instructors with an opportunity to reflect on their
movingforward/being stalled in the engineering undergraduate pathway.This perspective shift is further reflected in Sara’s statement that Pre-Calc students are “notthrilled” to be in a course “below where they need to be starting,” which is a surprisingly deficit-based statement about where the Pre-Calc students are in relation to their peers who areapparently superior by virtue of their initial positions (Calculus I or beyond) in the mathsequence. Sara’s words partially confirm Liza’s belief, presented above, that Pre-Calc is a“weed-out” class designed to filter out those who are not worthy of proceeding through theengineering math curriculum and in conjunction, engineering degrees. Again, this is incongruouswith the initial goals of the GS Program
leader.” – Asian American EngineerA few participants indicated that they had worked as interns or during college for certaincompanies. They reflected on the importance of the support that they had received from theircoworkers, as well as the value of having that work experience when it came time to look for a jobafter graduation. “As I was going to school, I was also working full-time at the CAD designers. I worked in the industry another four years prior to working as an engineer. My coworkers were willing to help me with homework. My employer was very acceptable and very supportive of me going to school, so they allowed me to work out hours to make up those hours.” – Asian American Engineer “I started off
families are invited to one of SfT’s partner institutions, including theMuseum of Science and Industry, The Field Museum of Natural History and the PeggyNotebaert Nature Museum.The question the SfT initiative explores is if there are changes in participants’ and out-of-school time organization leadership’s attitude towards STEAM, as well as a gain in contentknowledge. To study this question, participants are given a survey gaging their attitudes andknowledge about STEAM before and after each module. Additionally, all instructors arerequired to complete Activity Journal Logs after each of their class sessions. These journalsallow instructors to reflect on their classes and help to identify where they needed moresupport from the SfT initiative
incorporate all four of the phases in the cycle: Concrete Experience,Abstract Hypothesis & Conceptualization and Active Experimentation. However, if the capstoneexperience is one of the first times that formal design process is introduced to the students, theopportunity for Reflective Observation becomes more difficult as the students are literallythrown into a high intensity design process where failure to develop a good product or systemcould lead to failure to obtain their engineering degree [17, 11, 18]. Concrete Experience (dissection, reverse engineering
experiments and assignments. This sample and the teamingenvironment reflected several similarities to the first-year engineering programs for which thisinstrument was intended. An email introducing and containing a link to the online survey wassent to all students during the final days of the course. Response rates were extremely low (≈7%) due to the timing of the survey and lack of in-class announcements. However, the fewresults that were obtained demonstrated that students would identify others outside of their teamsand even their sections, through use of the free-response questions.The final version of the survey consisted of a cover letter describing the purpose of the researchand data collection, a prompt asking the students to indicate all
began as a week-long residentialexperience, with counselors and mentors leading more of the workshops than faculty. Theworkshops are less technical than those offered at the high school level, but reflect the broadintroduction to multiple engineering disciplines and computer science. The program also advisesparticipants how to prepare for future studies in STEM. Middle school is a critical age for youngwomen where self-confidence and perceptions of others have a big impact on actions anddecisions. A well-known study has shown that young girls have gendered perceptions of STEMeven as middle school students [8]. By reaching the girls at a younger age, the program aims toincrease the STEM pipeline and encourage more young women to explore and
(engineeringmanagement is the most popular). And yet, the number of students enrolled in the CU TeachEngineering concentration does not nearly reflect the scale of interest initially expressed by theundergraduate engineering student body on a 2012 survey: while one-quarter of the almost 1,000respondents indicated an interest in K-12 teaching on the survey, just 14 students are currentlypursuing the CU Teach Engineering concentration. What is keeping those who indicated ahypothetical interest in K-12 teaching from enrolling in it and pursuing secondary STEM teacherlicensure as part of their engineering degrees? This paper seeks to begin probing this complexquestion by taking a historical perspective, integrating data from the initial launch of the programwith
incorporated in the form of educational technology to promote effective pedagogy, whichhas fostered the development of a new conceptual framework termed as the technological-pedagogical-content-knowledge (TPACK).2-4 The concept of TPACK reflects the status oftechnological, pedagogical, and content knowledge of educators.3 Moreover, the intersection ofthe three constitutive knowledge domains of TPACK, viz., technology, pedagogy, and content giverise to four additional knowledge domains, viz., technological pedagogical knowledge,pedagogical content knowledge, technological content knowledge, and technological pedagogicalcontent knowledge.4It is believed that the application of TPACK framework can make its three core knowledgedomains complementary to
large universityin the Midwest with more than 3400 graduate students spread among 13 different engineeringprograms. This sample size, though small, is sufficiently large for quality qualitative work in thisinitial exploration.33 This small sample size was also a reflection of the limited population ofreturners. A potential list of students was initially identified through Graduate School records,sorted by the number of years between the BS or MS degree and when the students started theirPh.D. With those criteria, only 29 domestic engineering students at the University met ourdesired conditions. We emailed these students to invite them to participate in the study andscheduled interview times with those who responded. The demographic data for our
, implement integrated water resources management at all levels, including through transboundary cooperation as appropriate 6.6 By 2020, protect and restore water‐related ecosystems, including mountains, forests, wetlands, rivers, aquifers and lakes The next section begins by explaining the theory of change underlying the USPCSAW project and guiding its activities. It then introduces the project components and describes their alignment with the Water SDG targets. The subsequent section presents the multi‐level assessment approach and results. The final section discusses the challenges and successes of the USPCASW project with particular reflection on the benefits of having a
conceptualgains on a concept inventory, but made smaller gains on final exam problem solving questions,compared to a traditional classroom.Overall, we see the collaborative quizzes as a well-aligned assessment tool for the active learningclassroom. This approach fostered improved co-regulation skills, and students who started withthe lowest levels of conceptual knowledge had similar course outcomes to those who began withhigher scores.In reflecting on our observations of the course, we also feel the collaborative quizzes were well-received. The majority of students participated fully and were engaged with the materials. It wasnot uncommon to hear students in extended discussions, particularly about the latter questions inthe quizzes, which tended to
theengineering workforce as a social context—making sure you succeed by ensuring you receivethe credit you are due. It is only at this point that the interaction moves from passive supervisingto active mentoring.We can also say something about the nature of Will’s stance toward mentoring in this vignette. Itwould seem that Will was not actively positioning himself in a mentoring role until the needarose. The long pause Will takes between the giving praise and giving advice could suggest it isan afterthought. Furthermore, his cursing about Gary might suggest this advice reflects hisfrustrations with Gary more than a desire to mentor Curtis. The reasons behind this passiveattitude toward Curtis is unclear, but we should point out that Curtis had only
steps to their project. Questions 6 & 7 addressed identification and elimination ofwaste to ensure that students learned the types of waste defined by lean methodology anddemonstrate they could identify areas in which their senior design projects wasted time andresources. The feedback from these responses was grouped by the most common answers,including the 8 categories taught in lecture, as well as wastes that were applicable to studentprojects but did not fall into one of the major categories. Post-survey question 8 allowed studentsto show that they could identify non-value adding activities and value adding activities, andconstruct a value stream map. Question 9 had students reflect on the basic idea that customerdefines value, and is
additional projectdata in combination with the survey data, ensuring that students understand that their instructorsare not performing the detailed survey analysis will help to mitigate concerns that students mayanswer in the manner that they believe they are expected. The influence of different instructorswithin a specific class is outside of the scope of this paper.The survey alone is not well-suited to assess which specific pedagogical elements were moreinfluential in promoting sociotechnical thinking or shaping engineering habits of mind. Instead,the other data sources generated within the overall project – namely, focus groups, assignmentdata, and faculty reflection logs – are being analyzed to better answer this question. Analyzingthese data
include a prescriptive number of credit hours. Mentored Experience (ME): Early career experience under the mentorship of a civil engineer practicing at the professional level, which progresses in both complexity and level of responsibility. Prior editions of the CEBOK referred to this as “E” for experience. The CEBOK3TC wanted to emphasize early career mentoring as part of the experience and adopted this new terminology to reflect and promote the importance of mentoring. Self-Developed (SD): individual self-development through formal or informal activities and personal observation and reflection. This is a new component of a typical pathway that was introduced in the CEBOK3. The CEBOK3TC
fewer formulas a world violates, the more probable it is. Each formula has an associated weight that reflects how strong a constraint it is: the higher the weight, the greater the difference in log probability between a world that satisfies the formula and one that does not, other things being equal.”Given a set of statements (F ) and a set of weights associated with them (w) representing theimportance of each constraint, Markov Logic Network could evaluate multiple design alternatives,or test multiple values for each priority. Such an approach, potentially allows engineering designersto systematically adopt a more inclusive and reflective attitude by being conscious of the normative,and subjective aspects of
high school science classroom, each student 1)located and drilled holes in metal and plastic, 2) tapped a threaded hole in metal, and 3)assembled a completed working pencil-top fidget device.Cycling a classroom of ~25 students through a safety talk and all fabrication process steps todevice competition took four 45-minute class periods, and these activities were repeated acrossmultiple periods each day. To assess indirectly the activity’s impact, students (N = 79) filled outan exit survey with questions posed against a Likert-like response scale. 35.44% and 65.82% ofrespondents respectively reported never using a drill press or threading a hole prior to thisproject. Reflecting on the project, 89.87% agreed or strongly agreed it demonstrated
: 1) collaboration; 2) data practice; 3) published information; and 4)scholarly communication. Given the semi-structured nature of the interviews, it is not surprisingthat the themes reflect the sections of the interview instrument itself. The first theme“collaboration” describes the natural of research practice among the researchers in the privateinstitution; the remaining three themes show the activities related to their research practices. Table1 summarized the main themes and sub-themes found in this study. The details of these themesare described below in this session. Table1: Summary of main themes and subthemes in this study Main Theme Subthemes Collaboration Collaborating for
what theresults mean and how they compared with engineering students. The results showed that thefaculty participants tended to prefer a more reflective than active learning style, a more intuitivethan sensory learning style, a more visual than verbal learning style, and were essentially neutralwith regard to preferring a sequential or global learning style. Comparison data fromengineering students provided contradictory learning styles preferences. Students tend to prefermore active than reflective learning styles, more sensory than intuitive learning styles, and amore sequential than global learning style. The only category where faculty participants learningstyles preferences aligned with engineering students’ learning styles preferences
student language reflect or challenge entrenched ideologies in the engineeringcurriculum? Do student’s perceptions of Con/Decon problems help us gain insight into how theyprescribe a proper engineering education? What do students believe to be a complete education?In Cech’s [19] phrasing, what is supplemental and what is fundamental?Our primary study questions are as follows:R1: Given that students are conditioned to work with decontextualized problems, what is theirattitude towards contextualized ones?R2: What strategies are students using to create context?4Research Design and MethodologyIn fall 2018, we adapted the Problem Rewrite Assignment (in an engineering ethics course,ENEE200) in order to better understand how students perceive