to temporarily shiftfrom classroom to virtual participation for one or more weeks due to illness, a need toquarantine/isolate, or other health-related reasons. In these cases, classroom students were addedto a virtual team temporarily, then returned to the physical classroom when able. The logistics ofmanaging shifting participation was somewhat complicated, but students overwhelminglyappreciated the option to elect their participation preference, as reflected in end of semesterevaluations and comments.One instructor observed a notable increase in quantitative evaluation of teaching effectivenesswith this course, as measured by end of semester surveys administered by the university.Though there is no data for past semesters (this was the
thought through.After specifying every material used in each BIM model with every unique material condition, Tally wasready for the second round of assumed variables. For the sake of time, these variables were largely left attheir generic values, but they were no less critical to accurate results of a real-life scenario. Tally’s abilityto accurately assess “cradle to grave” carbon impact becomes quite evident in this set of global variablesthat apply to each project. If desired, the travel distance of each material can be clarified to reflect a true-to-life analysis of transportation on carbon required for construction, and inputs for building lifedemonstrate the environmental impacts upon demolition of the structure. All these variables were
, the University changed the end-of-semesterevaluation questions and they did not include questions on instructor effectiveness or coursedifficulty. We include this discussion of student evaluations to note a limitation of the study,which is that we compare two fundamentally different courses. Though the survey questions donot ask students about personal interest, intellectual challenge, or the instructors, differences inthese areas exist and contribute to students' overall perception of a class and may influence howthey perceive the goal structures we have asked them to reflect on.In addition to the goal structures a classroom presents to students, students themselves mayidentify more closely with some motivations than others. The box-and
seen no evidence forsystematic differences in intrinsic motivation between men and women in either cohort.Therefore it seems unlikely that self-selection bias played a significant role.Our findings suggest that students were less motivated to learn in Fall 2020 (remote instruction)than in Fall 2019. However, the decrease in motivation over the course of the semester wasidentical in both conditions. This consistent decline may be an artifact of multiple surveying, ormay simply reflect the inevitable decline in enthusiasm under the burden of exams, impendingproject deadlines, and extracurricular commitments.Our unique dataset offers a narrow glimpse into the effect of COVID-19 on our students.However, we have assumed that the constructs measured
/TAs,and with other students—during the course. Again for clarity, the difference betweentechnology/platforms and methods was defined throughout the survey with examples from theentertainment industry.Face-to-face courses: This type of course typically has an in-person session, and may haveoutside components to the course. There were no face-to-face courses offered in the summer2020 semester, however, the students were asked to reflect on their interaction in face-to-facecourses from the fall 2019 semester. The students were asked the following qualitative questionsabout their interaction during the face-to-face session as well as outside the face-to-face session– (i) how the student interacted with instructors/TAs, and (ii) how the student
benefit to the course material. Their response and anecdotal feedback suggestedpositive value. Finally, the last question was an early check on their reflection of improvedwriting skills. Although they had only one assignment, their reponse indicated substantialimprovement. This makes sense given that they apperently had little experience in technicalwriting prior to this course. 5 4 3.9 3.9 Response 3.5 3 2.6 2 1 I II
the team’s stated goals clear from the beginning? How successful do YOU think the team was in achieving its stated goals?IQ15. Considering all your activities (academic, social, work, family, etc) at the time, what priority was your project work, and why?Proposed Data AnalysisWe will use an inductive-deductive thematic analysis approach to our data analysis [20]. Usingthe literature on teaming and psychological safety, we will create a preliminary code book. Then,based on the interview data, we will update the code book to reflect ideas and concepts that arisefrom the data.Expected ResultsBased on the literature review, we expect to find themes related to psychological safety, includingpersonal characteristics, past experiences
focused on gaining exposure tothe engineering in ski resorts including lift operations and snow making processes while buildingstudent-student and student-faculty relationships. During the 4-hour bus ride to the ski resort,students were asked to read a scholarly article on one of eight topics related to ski resorts.Students met in small groups with others that selected the same ski related topic and gave areport out to the larger group. At the ski resort, students had a behind the scenes tour of the liftoperations and of the snow making process. Students had the rest of the day to ski or take alesson with other women on the trip. The evening included a team building workshop whichincluded reflection on the day’s activities and how their
instructor reflects on the day’s work and also talks about thenext meeting and the preparatory work required prior. This pattern generally continues for all the meetings except for the final projectpresentations. It is important to know that student groups also meet outside of class hours towork on projects and complete the prep work. With the outbreak of COVID-19, there was a sudden shift in the design thinking coursedelivery in the Spring 2020 semester. In March 2020, the class was asked to meet online for therest of the semester after the Spring break. The instructional team met before the Spring break tobrainstorm on how to proceed the instruction during the online learning and finalized theirindividual approaches before resuming
awareness activities, transfer transition support, cohesive learningcommunities, and scholarships. The program’s emphasis on an uncommon pathway toengineering reflected both the anticipated attraction of new students plus the shift of students totwo-year pre-engineering programs in response to the Tennessee Promise initiative, whichprovides free tuition at all state community colleges beginning in the fall of 2015. The proposedpathway to a senior engineering school was designed to pre-empt the unintended but wellrecognized consequences of students starting their engineering training at two-year schools byimproving student preparedness for transfer, providing structured support for students preparingto transfer, and rapidly establishing connection
influencedtheir grade, (3) impressions of other members in the study group, (4) opinions about the mostvaluable and least helpful parts of the study group and (5) reflections on how participating in thestudy group changed their confidence in completing the engineering degree and their feelingsabout being a student at ASU. Pseudonyms were given to participants to ensure theconfidentiality of the interview.ResultsThere were 22/50 respondents for the post-survey (response rate of 44%). Of these, 16 could bematched to the pre-survey, due to the fact that some students did not use the same personal codethat they generated on the pre-survey. Of the 16, 14 had been placed in PLSGs, and one hadbeen placed in TARs (one student did not identify a group).Table 2
sustainability engineering education has been widelyrecognized. However, reflecting the concept of sustainability in the course content and providingsufficient sustainability education standards are also issues that need to be considered. Some highereducation institutions have added sustainability courses to their construction courses and madethem compulsory courses for students. But there is a challenge in sustainable design education:recognizing the need for change and applying it to the enterprise [5]. Therefore, it still needs todiscover an appropriate way to improve sustainable education. Through appropriate engineeringactivities and education, students can increase their understanding of the world and theircommitment to sustainable development [6
mentor can be accessible at any time and any place frompotentially any smart device. AcknowledgmentsThis material is based upon work supported by the National Science Foundation under Grant No.1831964. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the authors and do not necessarily reflect the views of the National ScienceFoundation. References[1] E. National Academies of Science, and Medicine, NASEM. (2019). The Science of Effective Mentoring in Science, Technology, Engineering, Medicine, and Mathematics (STEMM) Available: http://sites.nationalacademies.org/pga/bhew/mentoring/index.htm[2] F
National Science Foundation grant #1849430. Any opinions,findings, and conclusions or recommendations expressed in this material are those of the authorsand do not necessarily reflect the views of the National Science Foundation.References[1] S. Brophy, S. Klein, M. Portsmore, & C. Rogers, “Advancing engineering education in P‐12 classrooms,” Journal of Engineering Education, vol. 97, no. 3, pp. 369-387, 2008.[2] S. Purzer, J. Strobel & M. E., & Cardella, M. E. (Eds.). (2014). Engineering in pre-college settings: Synthesizing research, policy, and practices. Purdue University Press[3] N. V. Mendoza Díaz, & M. F. Cox, “An Overview of the Literature: Research in P-12 Engineering Education,” Advances in Engineering
priority in their position, which could misrepresent how thegeneral population of engineering faculty feel about student mental health. Finally, this surveyfocused on faculty self-reported confidence levels about communicating with students aboutdifferent mental health concerns rather than quantifiable skill levels. Literature shows that evenwith trained therapists, there is little relationship between confidence and competence when itcomes to treatment efficacy. In fact, it has been found that therapists who have higher levels ofself-doubt can help facilitate better patient outcomes [25]. This is possibly due to positive self-reflections that result in improved therapeutic interventions. As a result, lack of confidence doesnot necessarily mean
providingstudents with “opportunities for reflection to connect thinking and doing” [19] in lecture, labs,and design studio classes help in the growth of students’ metacognition. Specifically, as shown inTable 2, students might appreciate the value of honing their metacognitive skills every step alongthe way if the course (a) offers learning resources (like screencasts) to enrich their understandingof metacognition and (b) students with the help of instructors, teaching assistants, and teammembers find ways on how to apply such skills in coping up with the demands of highereducation which are more challenging than what they have had in their high schools. As onestudent recalled (under postliminal state) that “I saw positive changes in my learning
behaviors,encouraging monitoring of those behaviors, encouraging reflection of those behaviors, gradingthe process as a whole not only the result, and using a standardized assessment to do so [10].Researchers and teachers using these methods can create relevant, dynamic, impactful, andvalue-added changes to their curriculum, the approach leveraged in this work.Study MethodsFelder and Brent’s 2003 article [7] defines a model by which to create course material basedupon accreditation requirements. The model is summarized in Figure 1. Figure 1: Elements of Course Design [7]From the defined model and as shown in the figure, course improvements are a continuous cycleof learning objectives, instruction methods, and assessment
upon work supported by the National Science Foundation under Grant No.1848498. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the authors and do not necessarily reflect the views of the National ScienceFoundation. The authors wish to thank Dr. Elizabeth Litzler, the Project Evaluator, for hervaluable input, and Hannah Chiou for her assistance in reviewing codes. Additionally, we thankthe students, advisors and faculty who participated in the study for sharing their experiences.References[1] M. T. Cardador, "Promoted up but also out? The unintended consequences of increasing women’s representation in managerial roles in engineering," Organization Science, vol. 28, pp. 597-617
pedagogy.AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grant No.1915614. The opinions, findings, and conclusions or recommendations expressed are those of theauthor(s) and do not necessarily reflect the views of the National Science Foundation.References[1]. Evaluation Consortium, University at Albany (2016) Experimental Centric Based EngineeringCurriculum for HBCUs Leadership Team, HBCU Year Three Report.[2]. Gough, A., & Gough, N. (2018). Beyond Tinkering and Tailoring: Re-de/signingMethodologies in STEM Education. Canadian Journal of Science, Mathematics & TechnologyEducation, 18(3), 284–290.[3]. Astatke, Y., & Connor, K. A., Newman, D., Attia, J. O., & Nare, O. E. (2016, June),Growing
)they foster collaboration; (e) they involve meaningful reflection; and (f) they allow competingsolutions and diversity of outcomes. Importantly, the tasks are similar to the type of workstudents will experience as professional engineers (e.g., hydrologic modeling, analyzing trends indata, and justifying decisions) and the product of the module is polished and realistic (e.g., anassessment report, a model, or code).Previous research shows that student learning is greater in courses where tasks regularly promotehigh-level reasoning and problem-solving and lesser in courses where the tasks are scripted orprocedural [25] - [27]. Litzinger et al. [28] researched the learning processes that support thedevelopment of expertise. Their findings
the College of Engineering and the engineering technology programs since 2010. Thesestudents were then assigned an admissions-type category to reflect how they entered anengineering technology program for the first time: • New First Time Freshman: A student who enrolled at Texas A&M University as an incoming freshman and selected one of the engineering technology programs at time of admission. It should be noted that this category only existed prior to academic year (AY) 2014-2015. After that, all freshmen entering the college were required to start in General Engineering. • Entry to a Major: A student who entered as a General Engineering student but then entered an engineering technology program
students (N=22) in 2020.The average score on technical questionsin 2020 improved 2.5 times between thepre- and post-module (p-value=0.006x10-3 ). Likewise, a statistically significantimprovement was measured in most of theEM skills in both the years. The resultsfrom Likert-scale questions (Table 1) fromthe pre- and post-surveys are shown in Fig.3. In 2019, even though students liked themodule, survey participation was low. Thiscould be attributed to lack of communication regarding the importance of the survey to thestudents. In 2020, students were informed of the importance of the survey, how it would helpthem to reflect on their skillset improvement and how dissemination of the results would help theeducational community. Considering the low
showed all sorts of professional practices and technology that are relevantto surveying today.” There was a sense that, as one student put it, they were “still able tosomewhat properly experience everything.”End-of-semester course evaluations reflected a slight change in student perception with regardsto the most valuable learning experiences of the class. When asked “what assignmentcontributed most to my learning”, 56 percent of students responding in the Fall 2019 semesteridentified the lab/lab assignments as contributing most. This is a marked increase from Fall of2018 (which used the traditional format), when only 43 percent of students responding identifiedthe lab as contributing most to their learning.Practice effect on Summative Quiz
values of and relationships among specific components of a mathematical model ● apply mathematical models to authentic, real-world problems ● interpret and draw conclusions from graphical, tabular, and other numerical representations of data ● summarize and justify analysis of mathematical models for problems ● express solutions to problems using an appropriate combination of words, symbols, tables, or graphs.Figure 1 contains an outline of the specific topics covered and the number of 50-minute classsessions dedicated to each. The graphic reflects topics covered during the Fall 2020 iteration ofthe course to provide the most recent picture of the course content.Figure 1. Engineering Math Course Topical OutlineAn additional
more about the next steps of theresearch component of the exercise. Despite being suggestions for improvements, these responsesalso reflected a high level of motivation about this curricular intervention.The curricular intervention did not include control groups (i.e., CE 251 and MCRO 224 studentswho were not involved in the curricular activities presented herein). However, anecdotal evidencebased on instruction of CE 251 in years prior to this curricular intervention suggests thatcontextualizing the regression unit of the CE 251 added a real-world relevance to this subject andincreased the level of student engagement and understanding of this course module. In MCRO224, the scope of the laboratory activities and test protocols developed and
under protocol number 14094. This work was supported by theCollege of Engineering and the Department of Materials Science and Engineering at theUniversity of Illinois at Urbana-Champaign as part of the Strategic Instructional InitiativesProgram (SIIP), and by National Science Foundation (NSF) CAREER Awards (Grant Nos.DMR-1654182, DMR-1554435, DMR-1846206, and DMR-1555153). This material is also basedupon work supported by the National Science Foundation Graduate Research Fellowship underGrant No. 1746047. Any opinions, findings, and conclusions or recommendations expressed inthis material are those of the authors and do not necessarily reflect the views of the NationalScience Foundation.References [1] G Bergerhoff, ID Brown, F Allen, et al
, which can leadto discoveries of new knowledge and innovations. These learning outcomes can impact classmates,community members, and/or society. Figure 1. The progression of active learning pedagogies employed within the Cardiovascular Engineering course.Overview of the Innovation-Based Learning PedagogyAs with many active learning pedagogies, IBL works between two frameworks Constructivist andCynefin. The IBL pedagogy uses aspects from the traits of constructivism: student-centeredlearning, interdisciplinary lessons, collaborative lessons, reflection, and assessments [4
of race/ethnicityand gender. A survey instrument measured the students’ attitudes toward professionalconnectedness (PC), a sense that engineers should apply their skills to help others, using 19 itemswith a 7-point Likert-type response scale. A key methodological inconsistency in the dataset washow students were allowed to report their race/ethnicity in the demographic question at the endof the survey: 1088 students selected a single race/ethnicity category, while 2305 students couldidentify multiple racial/ethnic categories. The results show that constraining students to select asingle race/ethnicity likely fails to accurately reflect the multiracial identities of many students.For example, the percentage of students who responded to the
challenges of the virtual/in personlabs. Student's feedback was collected to reflect their overall lab experience in this special time.1. Introduction and BackgroundLabs are a vital component to learn engineering disciplines, since hands-on labs reinforce thetheory that the students learned in lecture. With the development of modern technology,universities are changing from face-to-face education to remote web-based learning. However, itis a challenge to bring hands-on labs online due to the complexity of the labs, which includevarious equipment, materials, and resources. Setting up a web‐system for e‐education requires asignificant amount of time, as well as the necessity of having a computer and other resources.Especially due to COVID-19, most
engineering major's significancein other countries.Theoretical-based coursework is one of the contributing factors of large numbers of first-year E/CSleaving the engineering field [10]. Such coursework makes relating concepts taught in class toreal-world scenarios quite difficult and creates a negative feeling of engineering concepts amongE/CS students. Students tend to enjoy their coursework if they can see the benefits in real-worldapplications and the flexibility to solve real-world problems. E/CS curriculum should be updatedaccordingly to reflect technological advancement in the field. Teaching students, especially first-year students, outdated technologies and innovation could discourage students from continuing intheir majors. Students might