withABET accreditation and evaluation mechanism of teaching and learning to facilitate dailymanagement.Keywords: quality assurance, engineering education, ABET, accreditation, EC2000,continuous quality improvement1. IntroductionIn the United States, ABET, Inc. has been recognized as the unique authorized accreditor ofpostsecondary degree-granting programs in engineering. For more than 80 years,accreditation has provided quality control for engineering education in the United States,seeking to assure that graduates of accredited programs are prepared for professional practice.By the 1980s, the accreditation criteria had become increasingly prescriptive, inhibitingdevelopment of innovative programs to reflect changing needs of practice. In 1996
ExperiencesResults The study revealed distinct pathways between, and in some cases, even among native andnon-native students. While the majority of respondents were exposed to some level of rigor intheir respective curricula, the participants had diverse reflections about the rigor of the classesthat they took. Some participants also had more detailed remarks about a particular instructor orexperience that inspired an interest in STEM. This experience seemed to be more salient forsome respondents than the rigor of their science and mathematics courses. In this section, wepresent interviewees’ perceptions of and about their STEM-related classes. Participants’reflections are presented individually, beginning with the three native students: Ben, Carter
definition wasextensive and was reflected in the summer bridge, FISE House, faculty mentoring over fouryears, the week spent with Habitat for Humanity, and the month-long Peru trip. The details ofthis initiative is explained below.International Educational Experience: PeruThe research to determine if the study abroad parameter is a significant factor in achieving high-percentage rates (> 90%) in graduation is limited [12, 25]. Surprisingly, this parameter is rarelyapplied to underrepresented students who are less likely to travel abroad [11, 12]. Most of thePathways Fellows who participated in this project had not traveled abroad before, and 8 out of 10indicated that funding was a critical determinant of whether they would have traveled or not
absolute frequencybecause some students repeatedly discussed a single topic, which may or may notproportionately reflect that topic’s relative importance. Analysis of the distribution of codesacross all interviews was complemented by exemplary quotes for each category, with in-depthattention given to the categories with the highest number of students commenting.Results and DiscussionExplicit references to the importance of TA confidence and TSE emerged from almost half of thestudents interviewed. These excerpts were used to answer our first research question andunderstand why students found TSE important in their TAs. The second phase of coding focusedon identifying behaviors cited by students that are associated with high TSE and understandinghow
] indicates is one way to ensure robust qualitative research.The research team also wrote analytic memos after each interview and openly discussed broadthemes that emerged from discussions with transfers. Miles, Huberman, and Saldaña [36]assert that analytic memos allow scholars to “reflect on and write about how [they] personally[relate] to the participants” (pp. 34-35). All transcripts were systematically and inductivelycoded individually by at least two members of the team; after coding transcripts individually, theteam then convened as a group of two or more to openly discuss and categorize themes thatcaptured crucial elements of participants’ experiences.In consideration of prior studies involving underrepresented racial and ethnic minorities
interviews was designed to understandstudents’ background and pathways into engineering. The second round of interviews involvedasking the students to complete a journey map to guide the interview focused on understandingtheir identity trajectory. This journey map documented the “high points” and “low points” of astudent’s experiences over the previous semester and was used as a reflective tool and datacollection artifact to guide the narrative interviews. The third round of interviews continues to usejourney maps and students’ stories to understand their development in engineering.The interviews were used to develop “restoryed” case summaries. A restoryed case summary is ashort version of each student’s pathway and highlights. In addition to these
order toidentify where these conceptualizations converge with or diverge from imaginaries of“mainstream” engineering; what social order they might promote; what values they might reflect;and what impact they might have on LTS engineers’ work and, by extension, relationship withsociety. In the end, we aim to gain a better understanding about whether the branch of theengineering profession called LTS cultivates imaginaries that echo LTS’s articulated values ofequity, justice, empowerment, and transformation and bring engineers closer to the publics theyaim to serve. Ultimately, we are interested in determining whether LTS aligns itself more closelywith diverse publics’ articulations of their own visions, definitions of their own needs, andvisions
statistically significant interactions at the scale level, although several occur at theitem level. As expected from research regarding female engineers and technologists, they haveabove median measures of traits representative of both masculine and feminine genderorientations. They exhibit below median levels of explicit sexism as measured by the SATWscale, but above median levels of implicit sexism as measured by the implicit associations tests(IATs).Higher levels of implicit sexism are also reflected in the SATW items that drew the greatestdisagreement as measured by the Net Support Percentage (NSP), i.e., the percent of responsesthat were not 4s or 5s. Selecting “3 – Neither Agree nor Disagree” on particularly embeddedideas is a typical approach of
-based project courses, there is a long history of classroom research examiningclassroom interactions -- much of it beyond the scope and theoretical grounding of this study.Mehan, through a careful analysis of classroom interactions, described traditional interaction as apattern of initiation-response-feedback (I-R-F);18 where individual students would be asked aquestion by the teacher, would respond, and feedback or evaluation would be provided to thestudent. Mehan provides an excellent comprehensive review of the development of interest inclassroom interactions as the subject of research from the 1960s until 1998.19 Research inlanguage, math, and science classrooms continues to reflect a more socio-cultural perspective.Interest in the concept
short timeframe. As would be expected, these efforts have driven theeducation sector, and in particular those concerned with workforce preparation, to developstrategic solutions for providing workers for this shifting economy.This study concentrates on the experiences of the study team in Germany during whichparticipant data was collected through the use of surveys, formative reflective reports, summativesector reports and individual participant research report methodologies. As a result, this paperintends to: • compare, contrast and present pre-‐ and post-‐travel participant knowledge of renewable energy policy, implementation and technician training in Germany • summarize and present participant key
California, Santa Cruz. Beckett’s continuing dissertation research examines a community-university collaboration situated in a low-income, predominantly Latino community, that created and used digital stories as artifacts and learning tools to engage members of the community (parents, teachers, district officials, union leaders, students, non-profit service providers, etc.) in reflection and dialogue around the economic, social, and cultural barriers that constituents face when advocating for student academic achievement, and to identify the strengths and solidarities that can be created to change the school system to better serve the student body (Beckett, Glass, & Moreno, 2012). Beckett has presented her research at
reflected upon while abroad;• researching and discussing aspects of Florence to be explored and studied as students of engineering;• learning practical information about the program (housing, classroom logistics, packing, health and safety guidelines, cultural norms, and program policies and procedures while abroad);• learning specific information related to class schedules and content;• discussing how to integrate the study abroad experience into academic majors and career goals.During this pre-departure course, students are required to view William Whyte’s documentary,The Social Life of Small Urban Spaces4, and read John Stilgoe’s Outside Lies Magic: RegainingHistory and Awareness in Everyday Places5. These two works address
skills can include: Understanding of and ability to use relevantmaterials, equipment, tools, processes, or products, awareness of quality issues and theirapplication to continuous improvement. Graduates must have developed transferable skills,additional to those set out in the other learning outcomes, that will be of value in a wide range ofsituations, and plan self-learning and improve performance, as the foundation for lifelong learning[12]. “Service-learning is a form of experiential education where learning occurs through a cycle ofaction and reflection as students work with others through a process of applying what they arelearning to community problems, and at the same time, reflecting upon their experience as theyseek to achieve real
arrive at the answer. 85) Feedback should be aligned with goalsFeedback should be aligned with the purpose of the assignment and its evaluation criteria. Morespecifically, feedback should clarify what good performance is in terms of goals, criteria, andexpected standards.6) Feedback should encourage reflection, self-adjustment, and improvement “[Growth mindset] is about telling the truth about a student’s current achievement and then, together, doing something about it, helping him or her become smarter.”—Carol Dweck [25]Merely providing timely and specific feedback is insufficient: teachers must encourage self-assessment and expect the
industry or Page 23.758.4research relevant problems. This provides the “Concrete Experience” component of the cycle ina similar manner as a case study. The “Reflective Observation” part of the cycle may beaccomplished by providing key times for student questions, critique, and assessment questionsthroughout the learning modules. These observational opportunities may be designed toencourage the students to reflect on the innovation history, processes, problem, theoreticalframeworks, ideas, and / or decisions. The “Abstract Hypothesis and Conceptualization”component of the Kolb cycle may be addressed through the use of the course content
example, nature hasendowed bats, dolphins, and whales with the remarkable ability of echolocation to determinetheir distance to various objects through the reflection of high frequency acoustic signals. Batsare nocturnal and consequently work under very low light conditions. By using echolocation,they have the advantage of being able to detect their surroundings even in the dark. Like bats, Page 23.329.6whales and dolphins also operate in low light conditions due to their inability to follow normalsleep cycles like most mammalian species on land because of their need to consciously breathe.Specifically, dolphins and whales stay underwater for long
because of increased use of surveys in general through web-based forms39-41. Steps were taken to account for differences between the sample of responses and the overall population. This adjustment weighted cases based on the population and response distributions by gender, discipline, and race/ethnicity within an institution as well as varying response rates of a campus so that the sample reflected the overall population of undergraduate engineers from the sample of institutions. In addition, missing data were imputed based on procedures recommended by Dempster, Laird and Rubin42 and Graham43 using the Expectation-Maximization (EM) algorithm of the Statistical Package for the Social Sciences (SPSS) software (v.18). To reduce data from survey
? Certainly, critics have questioned the relevance of the model toreal-world engineering practice. Ferguson,17 for example, has challenged the ability of the blockdiagram to adequately reflect the contingent nature of design. Despite being an accepted modelfor how design should work, he argues, if blindly used as a roadmap, the block diagram maymislead novices into thinking design is a process completely under their control. Bucciarelli2,18sees the block-flow model as only partial explanation of the design process, reflecting design’s“object-world” aspect of formally measured work with physical materials, but not its “process-world” aspect of narrative experience and social interaction. In this study, we explore expert engineers’ conceptions
finalized codebook. Table 2 defines the four S’s alongside the transition types in the study context. We organized the results by the type of transition and highlighted how students' experiences map to the four S’s of Schlossberg’s transition theory. . TrustworthinessEReporting on the quality, credibility, and validation of qualitative research are best practices to ensure the study's trustworthiness[33]. In engineeringeducation, Walther et al.[34]provide validation strategies to ensure the quality and trustworthiness of qualitative research. heoretical validation of a study should reflect the complexity of the lived experience underTinvestigation. This can be validated through the use of an opposing case
fromboth majors choose in-major electives from the same pool of courses, but the similarity wouldnot be reflected in degree requirements. The clustering of majors in departments can be extendedto programs jointly offered by multiple departments. A degree jointly offered by twodepartments would be similar to other majors offered by the two sponsoring departments, even ifthe majors from the sponsoring departments differed from each other. For example, GeorgiaTech’s degree in Computational Media is jointly offered by the College of Computing and theSchool of Literature, Media, and Communication. Computational Media is similar to bothComputer Science and to Literature, Media, and Communications, but Computer Science is notnecessarily similar to
for a lesser cost [11].Some textbooks have the option of renting a digital version as well. Students may also be piratingtextbooks online. Nonetheless, this continual increase in textbook cost has resulted in decreasedtextbook purchases. A survey of 1,067 students in 2016 found 66% of students claiming they didnot purchase the required textbook for a given class [12]. Another study from 2020 yielded similarresults with 65% of students claiming they did not buy a required textbook for class due to costs[7]. Cost may not be the only issue at fault, as there is still a lack of usage from students who doacquire the required textbook.Lack of textbook usage is reflected in a 2008 study where undergraduate finance students weresurveyed on the
interest, and this discrepancy isfurther reflected during the college application process. This mismatch cultivates a system ofexclusion for minoritized students: students are led to think they can succeed during outreach,only to be told they are not allowed in during recruitment.Holloway et al. [44] listed 11 major factors used to admit or deny students during the collegeapplication review process by IHEs in the years 2006-2010: (1) “subject matter expectations (thenumber of semesters of math, science, English, social studies, and foreign language that eachstudent is required to have taken in high school), (2) overall high school grade point average(GPA) (3) core high school GPA (English, math, science, foreign language, and social studiesclasses
) capabilities with social relationships & networks adistant second (0.05). Again this is not surprising since these are values that overlap with achievingquality in production or service. The finer grained analysis showed that certain elements of ABETcriteria and Walker’s capabilities had little overlap within these broader categories. For exampleWalker’s capability of practical reason includes ‘being able to construct a personal life project in anuncertain world’ which includes the element of knowing what to do, the medieval concept of synderesis[40]. The overlap of this element of Walker’s practical reason capability with ABET was much less, only0.04 f, and reflects the fact that the quality of a defined product or service does not include
in the number of units and modes of instruction for individual courses. • There are many university level committees making decisions (common courses committee, university conversion committee, undeclared majors committee, calendar committee) that effect the program. Get faculty to serve on those committees. • There was no formal methodology used. The program did prepare a reflection report looking at five other programs before starting.Our a priori expectation was that this is a parallel process and a once-in-a-generation opportunityto take a fresh holistic look at the curriculum. It was surprising that both programs interviewedtold us not to do that. There was not time in the conversion schedule to do that
conference papers, rather than including manydifferent types of sources. The rubric scoring criteria were revised to reflect this emphasis, andall scores for that outcome were updated to reflect the updated rubric (see Appendix A).The final ratings were then combined into a total rubric score. Course scores for each report, as apercentage of the total possible score, and the percentage of graduate students on each team werecomputed as well in order to compare the final data from the two semesters in the sample. Two-sample t-tests assuming unequal variances were used to look for statistical differences betweenoutcomes for the Summer 2021 and Summer 2022 data. As no significant differences wereidentified, average scores for each rubric outcome were
. The numbers of participants (total and for girls) are listed in Table 1, below. Because wefocus on the fourth and fifth grade girls who participated and because we do not have largeenough numbers to disaggregate by race or ethnicity, we do not report race or ethnicityinformation of the participants in this study. However, we want to note that the students whoparticipated in the research reflected the gender and race distributions of their schools and schooldistricts. Across the three years of this study, the student populations of the larger study and inthe focal schools were 2% American Indian or Alaskan Native, 8% Asian, 15% Black or AfricanAmerican, 21% Hispanic or Latinx, 0% Native Hawaiian or Pacific Islander, 49% White, and 5