sets were significant across the classroom types (p < .05).Figure 2. Sprint Retrospective Reports Analysis. Error bars indicate standard deviation. *indicates significant difference with Pro Mentor classroom type (p < .05).Sprint Retrospectives are progress report documents generated by the student team every 2weeks. These reports include a list of tasks committed and completed during the last workperiod (a two-week "sprint"), a breakdown of the relative effort of the team members, descriptionof the feedback received by the team from their project sponsor, and a reflection on teaminteractions.As seen in Figure 2, across the Sprint Retrospective averages, the ProTA mentored students hadthe highest average score, followed by the Fall 2019
modified so as to reflect a corrected understanding ofthe concept. In-line corrections are preferred, which usually requires the student to space theiroriginal work out appropriately, and neatness is rewarded. If the original submission is almostcompletely worked, the “correction” largely becomes an aided rework of the problem. At thispoint, copying of the solution is possible, but discouraged. In such a situation, the student wouldget a very low grade on the original submission and then get a very high grade on the “corrections”portion of their submission. Given the weighting between each assignment, the overall grade isstill failing. In either case, the first part of the grading is to assign a score to the correctionsthemselves based on how
ethnoracial minorities remain under-represented in engineering education andpractice [22]. Despite constituting just over half (51.5%) of the US population, women compriseonly 40% of the science and engineering workforce, and just 13% of professional engineers.African-Americans, though 12.3% of the general population, are underrepresented within scienceand engineering (7.7%) [23]. Underrepresentation is a concern for both utilitarian reasons ofeconomics and prosperity [e.g. 24] and also for moral reasons: it is simply unjust for the world tobe constructed by a professional community that does not reflect the demographics of that world.Interventions and investigations over many years have identified some factors that improve theexperience and increase
position individuals assimilar or different from others within networks of relationships and organizational structures (see Burkeand Stets, 2010; Walton & Jones, 2018). These self-meanings can be based in beliefs about one’s personalor individual characteristics (e.g., I can learn new things quickly), one’s role in relation to others in agroup (e.g., I am a problem solver, organizer, leader), and one’s membership in broad social groups orcategories (e.g., I am a black, female, graduate student). Each of these different bases of identity (Burke,2003; Deaux and Burke, 2010) provide self-reflective meanings that are “built-up” from interactiveprocesses and experiences through which individuals seek self-verification, or a correspondence of
reflects the individual student’s average rating acrossall five categories as compared the average of the team overall. This factor can then be used toadjust team deliverable scores to individual grades. CATME has been widely used in engineeringeducation across a range of disciplines and levels of students, with use at over 1000 institutionsby nearly 6000 instructors and over 300,000 students (https://info.catme.org/about/our-user-base/).It is important to understand the extent to which peer ratings may be influenced by unconsciousor implicit bias [8]. Studies of unconscious bias have established the following situationalelements as being more likely to result in unconscious bias: lack of information, time pressure,stress from competing tasks [9
Feedback research statements Video conference with former ACADEME participant Developing cover letter Tenure track explained, expectations assistant professor Interviewing tips Teaching and mentoring Equipment and start up packages Learning styles Time management Developing course learning outcomes- ABET Mock grant review Discipline based education research Finding sources of funding Guest lecture-Actualizing education theory in classroom Preparing proposal budget Mini lesson – development, video tape, feedback Collaborations Reflection – strategies to improve teaching Proposal tips Use of assessments
experiences are similar, or the participant used knowledge from capstone in the workplaceCapstone Advice The participant is providing advice for the capstone course (e.g., to better align it with work)Figure 2 shows the process of data analysis for this study starting from the interview data to theresults. One of the sub-codes from the coding scheme was “leadership” which was defined as anactivity where the participant described ‘acting as a leader or an action that reflected aleadership behavior’ while working in a team. For this study in particular, we used the dataexcerpts which were coded under ‘leadership’ and analyzed the data using the four leadershipprofiles of the
. This paper explores qualitative results from a special administration of the EERI wherestudents were asked to provide additional information about how they perceived items from theinstrument. The students were prompted to do individual reflections as well as teamed reflectionswhere they discussed differences of opinion regarding various items. Afterwards they returned toanswer some follow up qualitative and quantitative questions. This paper takes this data andinvestigates if there are any connections between what students reported and the 17 items whichwere identified as problematic during the PCFA. Results from the qualitative data supportedseveral of the outcomes from the PCFA while providing fewer insights regarding other items.Overall, it
student study as a lifeline to their assignments. Thistheme included the desire to have available technology in their study locations, for exampleWIFI, electrical outlets, laptops, printers and access to computer labs. The themes Comfort (9%),Proximity to Amenities (8%), and Study Materials & Accessories (8%) illustrate the needs tocreate the perfect study experience. Comfort included comments that reflected the overallcontentment of the chosen study location, such as comfortable couches, large tables, and size ofroom. The students also had a strong preference towards their Proximity to Amenities, whichincluded distance to food (restaurants) and convenience of getting from home to the College ofArchitecture buildings on campus. Study
? – Multiple Choice: 0, 0.5, 1.0, or 1.5 letter gradesThe responses to both of these questions reflect very favorably on the PLA program (shown inFigure 3). There is a clear positive bias in the responses with the mean at 5.1, 76% >5, and 90%>4 on a 6-point Likert-like scale. The median response indicates that students, in general, feltPLAs contributed to their success, resulting in a perceived net improvement in studentperformance by at least half a letter grade (79% of responses.) To reiterate, the students indicatethey feel the peer assistants provide a positive impact on their learning. The authors did notattempt to obtain individually identifiable grades. Figure 3: Student responses to Q3 (left) and Q4 (right)An even
. Findingsindicated design neurocognition differed when problem-solving versus designing, particularly inthe sketching task, as indicated by transformed power and task-related power within the EEGreadings.4.3 Current use of other techniques in the study of ED&CGWhile not a primary talking point of this paper, a notable investigation with the use of functionalnear infrared spectroscopy (fNIRS) is worthy of mention. This technique works via theabsorption or reflection of hemoglobin in certain areas of the brain. Researchers in [64] utilizedfNIRS to investigate the neurological differences in freshman and senior-level engineeringstudents during an engineering design brainstorm. Even though this study did not look at thenovelty of ideas generated, this study
[22] Engineering skills (tinkering) self-efficacy [22] Engineering design self-efficacy [23] Engineering academic engagement n/a, original instrument Creativity Creative self-efficacy [24] Value of creativity [25] Personal Development General self-efficacy [26] Grit/perseverance [27] Professional Skills Teamwork skills [28] Communication skills [28] Leadership skills [28] In the T2 instrument, we additionally utilized a retrospective pre-assessment,implemented at semester end but asking participants to reflect on
diverse workplace are often assumed and not carefully considered. Extantliterature finds that while there certainly can be benefits from diversity, it can also be a source ofconflict and misunderstandings [8], [9]. Increasingly, new types of pedagogy and learning thatrelies on reflection and understanding one’s own identity in comparison to others can lead toincreased group performance [9]. In order to benefit from diversity and inclusion, intentional 4planning and learning opportunities need to be considered. As we plan for a new makerspace, wemust be intentional in order to reach our goals of inclusion and diversity.In thinking about the benefits
qualitative sensibility was selected to describe the personalexperiences associated with the issue of liberal arts in higher education engineering courses andprograms. The rationale is that a narrative study affords an opportunity to tell the story throughteacher reflection [17]. The story is a chronological [17], first-person, autobiographical account[18] with prompting from archived annual review documents and subsequent validation fromcolleagues. The classroom settings included one public land-grant and one private institutionwith a mixture of engineering and architecture students in opposing degree granting programs.The narrative context is threefold as it describes a broad timeframe and scope, and then narrowsto experiences in and out of the
difference between the traditional and the online offering. The absence of anynoticeable difference in learning outcomes is an important baseline for the effectiveness of theonline course. The indirect measures based on student surveys reflected a similar endorsement ofthe online approach. Besides the learning outcomes, the exercise of transforming an existingface-to-face course to online delivery, highlighted: effective transition strategies, assignmenttypes, and engagement methods to build a successful course. This case study proposes a stagedtransition to test lecture content and assignments within a traditional lecture-based setting. Theoutcomes of this work provide valuable guiding principles for the engineering educationcommunity considering
had this entire new experience together to explore the city.” SiliconValley peer community experiences seemed to vary slightly based on the size of the housingunit. In some of the smaller units, finding cohesion within the group was a challenge because“there weren’t necessarily always people home.” Notably, Silicon Valley respondentsemphasized the value of the “DTech Circles” sharing/reflection (roses and thorns) time infostering peer community within their living community. This activity was offered but seeminglynot heavily utilized in Chicago or RTP.5.2 (PE) Internship ExperienceParticipants’ summer internship experience, while not directly provided through the program,was integral to the students’ experience of the program and served as a
chosen for the design. 3. You always have to expect the unexpected when designing for human use. The original plan for the project was to work on the foot/ankle, pylon, and socket component of the transtibial prosthetic limb. However, the stump of the client was not aligned axially and render the prosthesis ineffective in walking straight. A universal joint compensator that could readjust the alignment of the stump/leg vertically was necessary and, therefore, an extra year was added to complete the project.The lessons learned from the service-oriented project reflects what others reported [20]-[23] thatengineer students need to interpret non-technical needs from client into technical constraints forthe
trips. As a consolation, the dairyfarm manager treated all visitors with ice cream! Responses to the first question about the dairyfarm indicated that the students learned from that trip at about the same level as the other trips.By the time students enrolled in Quality Management, four students had quit the program andgone back to China, so enrollment was at 102. Organizing and conducting the Labs was timeconsuming for faculty and an added responsibility since the labs took place outside of regularlyscheduled class meeting times. Hence, it was desirable to determine whether the Labs werejustified relative to perceived benefit they provided to students.During the last week of class, students had the opportunity to complete a survey to reflect
“messiness” that, in some instances, blurs the lines betweenintellectual merit and broader impacts. We also note that the proposals that were part of the2017 cohort’s submissions were reviewed when the knowledge generation requirement wasstill new; neither program officers nor reviewers had become well-acquainted with what thisaspect of the proposals should reflect. All of these factors likely contribute to difficulties thereviewers showed in properly delineating strengths and weaknesses under the appropriatemerit review criteria. And although our findings point to the need for more research, thisstudy clearly indicates that more useful feedback for research teams would be helpful,particularly in the area of broader impacts. Specifically, the
that the flexibility indeveloping video content is a good opportunity to fix the content and seeks to continue addingnew content or make changes to reflect accumulated experience and student feedback.The course under considerationThe Electrical Circuits is an undergraduate level course at Missouri S&T intended for non-EEstudents. The content primarily includes AC circuit steady-state analysis covering single andpoly-phase circuits with emphasis on applications like transformers, induction machines andfrequency response. DC circuit analysis is used as a special case to introduce the basiccomponents and basic analysis techniques. Primarily, students from Mechanical Engineering,Civil Engineering and Engineering Management departments take
’ awareness of and preparation forcareers in instrumentation and manufacturing.This material is based upon work supported by the National Science Foundation's AdvancedTechnological Education Program under Grant #1801177. Any opinions, findings, andconclusions or recommendations expressed in this material are those of the author(s) and do notnecessarily reflect the views of the National Science Foundation.Rationale for ProjectThe United States workforce faces a shortage in skilled workers, especially in jobs requiringindustry relevant skills but not necessarily four-year degrees. According to a report by theNational Academies of Sciences, Engineering, and Medicine, 3.4 million skilled technical jobsare expected to be unfilled by 2022 [1]. Additional
Class Size 50 40 30 Less than 20 0 2 4 6 8 10 12 14 16 Number of RespondentsFigure 2.4. Typical class size. (n=57)Course ResourcesSeveral open ended questions were asked to reflect on the availability of resources in terms ofphysical space, experimental or testing laboratories, and computer resources and softwareavailable. The majority of the
’ decisions in their careers will lock in energy use fordecades. Civil engineering students will make forward-looking decisions in their careers that notonly account for current costs but also more accurately weigh future consequences of theirchoices on community well-being and quality of life. Unfortunately, too many decisions aboutinfrastructure are overly nearsighted and are suboptimal for community well-being and quality oflife [41]–[45]. These decisions may be reflective of the beliefs and perceptions of the nation.Only half of the people in the U.S. believe global warming is harming people in this country, andless than half believe global warming will harm them personally [46]. In other words, there areless perceived repercussions for short
develop effective latent variable model and instrument that reflects the factors of college students’ retention.Dr. Carol S Gattis, University of Arkansas Dr. Carol Gattis is the Associate Dean Emeritus of the Honors College and an adjunct Associate Pro- fessor of Industrial Engineering at the University of Arkansas. Her academic research focuses on STEM education, developing programs for the recruitment, retention and graduation of a diverse population of students, and infusing innovation into engineering curriculum. Carol is also a consultant specializing in new program development. She earned her bachelor’s, master’s and Ph.D. degrees in Electrical Engineer- ing from the U of A and has served on the industrial
, our two-semester interdisciplinary industry-sponsored Capstone program, Capstone project examples,and data analysis of past projects.Brief History and Structure of Project Based Learning at WCUThis year marks the 10th anniversary of the implementation of our interdisciplinary PBL coursesequence, required of all engineering and engineering technology majors at WCU. The PBLsequence was originally established by a team of engineering and engineering technology facultyto create a learning environment, and community of learners, that reflects how engineers work inthe real world. Using their previous work experience, several ABET student learning outcomes,and the Industrial Advisory Boards’ feedback as a guiding framework, the PBL sequence
traditionally served by the field of engineering due to a lack ofrole models. Although the six-year graduation rate for women is comparable to men [5] and thetotal number of engineering bachelor’s degrees awarded to women has increased by 71% during2006-2016, the percentage of engineering bachelor’s degrees awarded to women held steady atapproximately 20% over that decade [9]. This percentage may be a reflection of a lack of rolemodels as women represented only 14% of the engineering workforce in 2017 [9] and only 17%of engineering tenure-track faculty positions in 2018 [10].Another barrier for entering engineering programs is the prescriptive nature of engineeringcurricula [11]. The pipeline for becoming a successful engineering student is long
prerequisite structures present ina curriculum, the instructional complexity intends to capture the curriculum’s qualitativecomponents. Heileman et al. [14] admit this is a difficult task, especially in terms of quantifyinglatent qualities of such a system. Like structural complexity, we associate each course with ameasure that reflects its position in the overall curriculum – however, it does not appear to have aspecific name like ‘cruciality.’ The individual course instructional complexity is proxied by thepass/fail rate of the course. One could find the average pass/fail rate for the curriculum,mirroring the use of summing blocking and delay factors to calculate structural complexity, butthis could be a weak measure. Order and concurrency or
in both parts of the project.3.5 DeliverablesThe teams were required to produce mini-reports at the end of each part, in addition to an overallfinal report and presentation at the conclusion of the project. At the end of Part 1, teams had tosubmit a word document providing the answers to each of the clues, along with specificstrategies and steps they took to reach the answers. The teams also had to submit a worddocument at the conclusion of Part 2, including selfies in front of the target building and uniqueclue, alongside written descriptions of their physical observations and details about the uniqueclue. Final reports and presentations included consolidated versions of the mini-reports above, aswell as reflections about team challenges
0.88, indicating high internal consistency between the items. The U.S faculty membersreported higher self-efficacy related to performing general research tasks than both U.S. graduatestudents and Indian faculty members did. They also reported higher self-efficacy related toperforming qualitative research tasks than Indian faculty members did. There were no differencesin self-efficacy related to performing quantitative research tasks among the three groups.Practically speaking, this instrument has the potential to be helpful for evaluating the efficacy oftrainings and workshops focused on increasing the EERSE of faculty and students. Engineeringeducation researchers can also use this instrument as a tool to self-reflect on their