models from images obtained with a scanning electron microscope (SEM). The projectwas motivated by a desire to showcase new technical capabilities of the UIC, for bothcommercial and K-12 educational outreach purposes. The students focused primarily onautomating to the extent possible the challenging tasks of converting a series of (SEM) imagestaken of complex specimens found in nature to a 3D CAD description suitable for generatinginstructions for a 3D printer via photogrammetry software. The methodologies and toolsincorporated by the students is described and examples are shown of successful modeling efforts.The challenges remaining and opportunities to improve the technical process are discussed. Theproject is reflected upon in terms of its
) administrators are reassessing admissions criteria to deemphasize standardizedtests and to take a more holistic view of a student academic experiences. Research shows that putting toomuch weight on high stakes standardized tests results in a misrepresentation of actual student potential foracademic success. Students, particularly students of color and girls, are often negatively impacted bystereotype threat which lowers scores and therefore do not accurately reflect student ability [22]–[26].Students who are first and second-generation immigrants or refugees may not speak English as their firstlanguage and so they are doubly disadvantage when it comes to standardized test scores. It is important to recognize that the mission of the UNL COE is to
engineeringeducators focused more on content coverage rather than creating learning opportunities forpracticing critical thinking skills [4]. Learning activities that stimulates critical thinking skillswould be desirable in any engineering classroom. Online discussion has emerged as a promising method for encouraging critical thinking indistance education [5], [10]. It provides opportunities for flexibility [11], [12] and collaboration[5]. Asynchronous text-based mode allows for greater reflection and higher levels of criticalthinking and in-depth feedback as well as allowing instructors to model, foster, and evaluate thecritical thinking skills exhibited during the discussion [6], [11], [13], [14]. Despite the potential of online discussions in
, including the increased use of cubesats, aircraft aerodynamicefficiency and noise reduction efforts, as well as the explosion in the field of UAS [1]. In additionto these are the potential for the aerospace workforce to suffer reductions of current personnel asa result of retirements over the next decade [2], [3], [4]. As a result of these factors, aerospaceengineering remains a strong area of interest for many students today [6].Local experience reflects this same desire by students from Alaska and in the Pacific northwest.UAF counselors have provided feedback that new opportunities, including the school’s recentlyinstituted aerospace engineering minor, AIAA student chapter, and UAS-related courses are themost sought-after experiences by
the United Kingdom. In Italian universities, they highlighted the use of“engineering tools”. However, we must remember that these results are based on self-reportedperceptions of improvements, a very common method, but not a highly reliable method.This previous analysis, however, makes us think about the need to face the challenge ofanalyzing different teaching and learning methodologies at the different cultural context toimprove international strategies. We should consider our students’ competencies usinginternational experience as a powerful tool. Results from the TA VIE project will hopefully shedmore light on this issue.Considering these reflections and analysis, we can only confirm that a new mindset is needed:from numbers to
also note that we did not assess student perceptions of techno-economic modeling. Researchsuggests that student perceptions are not reliable indicators of whether an intervention supportslearning [28]. However, we do note that students engaged deeply with the assignments, whichsuggests that students found them valuable. However, future studies can investigate specificaspects students found worthy to invest time. As a fairly authentic task, exploring how techno-economic modeling might support professional identity development would be of interest.We conclude with implications for other chemical engineering faculty by reflecting on classroomexperiences in this study. We have dived deeper in this challenge every year and students areengaged but
develop nonchalant attitude to chemistry and othercourses. Literature in science education in the developed nations of Australia and USA identifiedteacher’s quality as the most important factor inhibiting science learning in schools that need tobe addressed [21]. In a similar study carried out in Australia, large class sizes, limited resources,inadequate time for preparation, reflection and teachers not collaborating with colleagues wereidentified as limiting factors in achieving quality of teaching science in secondary schools. Thusteachers’ knowledge of subject matter, initial preparedness of teacher, available resources inschools, for example, could impede student’s learning effectiveness and teacher’s teachingeffectiveness [22]. Therefore
reflection characteristics (S21, S11) by performing simulations using Sonnet Lite.After verification, students were then asked to create printed circuit board (PCB) layouts for theirfilters using Autodesk EAGLE. Physical filter prototypes were manufactured in-house using anLPKF ProtoMat E34 PCB engraving machine. Students were then asked to solder SMAconnectors to their filters, measure the actual performance using a vector network analyzer(VNA), and compare their results to theoretical expectations. A discussion of learning objectives,grading criteria, a comparison of theoretical specifications vs. experimental results, anassessment of student learning outcomes, and recommendations for future improvements to thedesign project are
goalof modifying the course was to expose students to physical experiments to foster their: (i)engineering intuition and calculation abilities, (ii) proficiency in data acquisition applicationsavailable on smart phones, (iii) data post-processing, analysis, and visualization skills in Matlab,(iv) writing thoughtful reflections in lab reports based on observations and quantitative dataresults, and (v) teamwork. Also, the hope was to engage and excite students in the course topic.Description of Physical / Virtual ExperimentsThe course activities are summarized below in the order they were covered in class. Additionaldetails related to course instruction (lab handouts), model fabrication (materials, budget,drawings), and sample solutions are
implementing the studio art course for thefirst time. This was reflected in the student comments most prominently in terms of theirsuggestions that more feedback was needed on the assignments. Although they tended to believethat the open-ended assignments were useful, they suggested that they could get more out ofthem with more thorough and prompt feedback. One remote student summarized this clearly,saying:“The open-ended assignments are a great way to make us grapple with the concepts and makesure that we actually understand the concepts, but in order for those to be effective, we need waymore feedback. I have often felt like I was very unsure of the answers I was providing for theassignments, but the schedule and the lack of feedback meant that I
. Overall, students enjoyed completing theOEMPs with 27 of the 36 respondents (75%) saying they agreed or strongly agreed with thestatement “I enjoyed completing the open-ended problems” (Figure 3). Figure 3. Students enjoyed the open-ended problemsTo assess the degree to which students enjoyed the OEMPs, we asked “I like the open-endedproblems more than the typical [course] homework problems.” 20 respondents strongly agreed oragreed with that statement (55.5%), 8 strongly disagreed or disagreed (22.2%), and 8 remainedneutral (Figure 4). This mix of responses is reflected in the open-ended comments, wherestudents said they enjoyed the problems but experienced some frustration because they wereunsure about the correctness of
wish to thank T.J. Nguyen for his work on the CyberAmbassadors project. We alsoappreciate the support and engagement of the many organizations partnering with theCyberAmbassadors project, including Tau Beta Pi, ACI-REF, CaRRC, the Carpentries, NRMNand CIMER. This material is based upon work supported by the National Science Foundationunder Grant No. 1730137. Any opinions, findings, and conclusions or recommendationsexpressed in this material are those of the author(s) and do not necessarily reflect the views ofthe National Science Foundation.References[1] H. Neeman et al., “The Advanced Cyberinfrastructure Research and Education Facilitators Virtual Residency: Toward a National Cyberinfrastructure Workforce,” in Proceedings of the
gradeis based off of two criteria: a) students identifying mistakes in their original submission andmaking corrections, and b) a metacognitive response to each problem where students outlinetheir solution process, identify points of misconception and think critically about their ownunderstanding of the material. As long as a student engages honestly and critically in themetacognitive response, they again receive full credit for their resubmission.At no point on either submission are students graded based on the correctness of their answers,removing one of the main incentives for turning to solution manuals. Instead, the student isrewarded for timely effort (initial submission) and for reflecting on what they learned from eachexercise
thethought process for coming up with sub-topics and interconnections within the map [3].Moore et al. [5] states, “They (concept maps) are primarily used in one of two fashions: 1) Anexpert-generated concept map is used as an overview or framework before more detailedinformation is presented, or 2) students are asked to generate maps as a reflective activity at theend of a unit.” Therefore, concept mapping can be used to gauge class and individual studentunderstanding of a topic. It can also be used to aid instructors by helping them identify whatparts of their curriculum need more attention [5]. For instance, a study was conducted wherecivil engineering students were asked to prepare a concept map around the phrase “civil andenvironmental
find therelationship with theory is complex even early in a change project’s evolution. Another panelcontributor team (Morelock, Walther, & Sochacka, 2019) illustrates a broad range of theoryutilizations in the early stages of their start-up, college-wide engineering faculty developmentinstitute (EFDI). In the two years since the institute’s creation, they have used various facets ofcomplex systems theory (Mason, 2009) to generate the institute’s goals and values, pragmaticallyguide institute operations, and reflect upon how to communicate the institute’s story to others. Ineach context, their theory manifested in different ways to meet their changing needs.The engineering faculty development institute’s story is not uncommon. As projects
characteristics, meaning that the pedagogicalpractices are unique to students’ cultural, religious, demographic, and gender differences. Thesecharacteristics set students apart from one another and their educators. Therefore, when ateacher’s instructions reflect characteristics of only one group of students, the other students aredenied an equal opportunity to learn [16]. Using CRP takes into consideration a student’straditions, linguistics, value and ethical systems. CRP provides teachers with empirical andtheoretical constructs that support their efforts to lower existing barriers and opportunity gaps [17]- [19] for the increasingly diverse public-school student population in all educational platforms.CRP’s objective is to support students in obtaining
) Significance level Adjusted correlation statistic (radj) Useful Description 0.121 0.723 N/A Sketch 0.635 0.036* 0.581 Specific Application of Physics 0.916 0.000** 0.821 Application of Mathematics 0.953 0.000** 0.898 Logical Progression 0.918 0.000** 0.826Note: *Significance at p < .05; **Significance at p < .01Sketch reflects a solver’s ability to represent the information in the
purpose of a university and determinewhich functions should be maintained, which modified, and which further developed.Additionally the framework suggests possible alternatives for re-envisioning both curriculumand the partnerships universities need to pursue to adapt to the affordances and challengesposed by information technology.IntroductionIt is widely held that universities serve multiple functions in society. The relative weight ofthe purposes of a university education wax and wane over time as society changes. In 1851publication of Newman’s [1] reflections on the aims of a university education emphasizedthat cultivation of the mind was most important with civic and economic benefits accruedindirectly. Improvement of the individual was the
the program has been highly effective at increasingpositive attitudes towards STEM careers and towards pursuing research at the upper-division andgraduate level.IntroductionAs part of a U.S. Department of Education Minority Science and Engineering ImprovementProgram (MSEIP) grant, California State University, Bakersfield (CSUB) began a summerresearch experience for lower-division STEM students in 2015. CSUB is a public, regional,comprehensive university that carries designations as both a Hispanic Serving Institution (HSI)and a Minority Serving Institution (MSI). Its demographics reflect the demographics of theservice region, which is a majority minority area. The service region for CSUB is also a fast-growing area marked by historic lags in
, educators can do more to encourage reflection, exploration, and self-directed learning among students. This is a work in progress, and the first phase has been a pilot study. This paper reports results of the pilot as well as the context, rationale, and design of the overall study. The pilot was the first step in a study seeking to provide new understandings: (1) spanning multiple professions; (2) identifying the various concepts that architecture and engineering students hold about the generation of new designs; and (3) describing how these conceptualizations compare within and between fields. The second phase will use phenomenographic methodologies to identify qualitatively different ways engineering and
patents and has over twenty-five years of experience in industry and academia. Research Interests Sylvia Wilson Thomas, Ph.D. leads the Advanced Membrane/Materials Bio and Integration Research (AMBIR) laboratory at USF. Dr. Thomas’ research and teaching endeavors are focused on advanced mem- branes/materials for alternative energy sources, sustainable environments, electronics, and bio-applications from the micro to the nano scale. Her research investigates the fabrication of inorganic and organic thin films and nanofibers for device integration. Thomas’ research group specializes in characterizing, mod- eling, and integrating membranes that demonstrate high levels of biocompatibility, thermal reflectivity
. Instead textual recognition or encouragement feedback according to thevariable-interval schedule were sent to these students. This ensures that even students not earningboosters still periodically see reinforcing messages about working productively to improve theirskills (but not too frequently). This confirms the design achieves our first design principle,ensuring the feedback was visible to students.Figure 1 reflects the proportion of students who won different numbers of boosters across all oftheir submissions on a single assignment. As mentioned, 38% of students earned no boosters,with 41% of students win a single tier1 booster( first major) across all of their submissions, and24% earning tier 2 boosters(second major). The stacked bars in
into a summaryreport, which can be used to detect if a team is becoming dysfunctional, when there is still thepossibility of making corrective structural or behavioral changes. After the project is over,students are required to do a final peer evaluation, which the instructor may use to make gradingdecisions based on each person’s participation and contribution. Self-reflection and the ability towrite thoughtful evaluations are skills that we expect our students to learn and practice.TrelloOne project management scheme that our ECE curriculum has adopted is the kanban board. Itoriginates from the Kanban system, which is a scheduling method developed by a Japaneseautomotive company in the 1950s to improve manufacturing efficiency. In its
work.Often, these researchers are working on solving very practical and very pressing social,environmental, or infrastructural problems, and government policy or decisions can be directedby their research. The benefits of interdisciplinary collaboration are reflected in CSCE’s recentstrategic directions, such as leading sustainable infrastructure [14]. Such goals depend oncollaboration with other associations, including the Canadian Association on Water Quality(CAWQ) and the International Society for Environmental Information Sciences (ISEIS) [15]. Bypooling resources, expertise and experience, researchers are more adept at tackling large-scale,interdisciplinary problems, such as sustainability or universal design. However, working
adoption of RBIS, iscalled instructional change [4]. Facilitating instructional change in engineering educationrequires a different approach, one that understands academia as a complex system [5] and usessystems thinking to understand how everything is connected to everything else [6] instead of thetraditional approach that is based only on faculty reflection and intuition drawn from theirteaching experiences [2]Academia is a complex system, and as such, it does not have isolated drivers or root causes thatare individually capable of generating change [6]. Instead, multiple interactions and feedbackloops exist that reinforce or balance decisions, motivators, and actions of agents in the system[7]. Academia is a system with strong historical roots
,yet, it is clear the model is applicable among many disciplines. Part 1 of the model specifies thefive-core components of interdisciplinary collaboration: 1) interdependence, 2) newly createdprofessional activities, 3) flexibility, 4) collective ownership of goals, and 5) reflection on theprocess [17]. Part 2 outlines the influences on interdisciplinary collaboration: professional role,structural characteristics, personal characteristics, and a history of collaboration [17]. Figure 1describes Bronstein’s [17] model and serves as the framework for the remainder of this paper. Professional Role Structural Characterisics - Holding values and ethics specific to each - Manageable
give feedback and guide students towards higher learning, or they may be with peers in “jointdialogues” [20, p. 82] where two or more students co-construct learning by reflecting on the other’sperspective. The active-constructive-interactive taxonomy classifies pedagogies through their taskfeatures, the activities which learners do, and the cognitive processes they use. The three levels ofactivity describe how engaged students are with a task, depending on expectations of behavior,dialogue, and producing outputs. Another model of student engagement was proposed by Smith and colleagues [11] calledthe pedagogies of engagement model. This model is based on interactions among teams or groupsof students, and it describes the dynamics of
them the upper hand with industry recruiters.Competitions sanctioned by SAE International (formerly the Society of Automotive Engineers)generally occur at the end of the school year (May/June), thereby making the summer months acritical time for student teams to reflect on their previous designs and to start proposinginnovations for the subsequent season. The Formula SAE (FSAE) team at The Cooper Union inNew York City has used this time to immerse high school students in this real-world activity intheir college’s summer STEM program.This 6-week intensive summer program is separated into two main modules. The first modulefocuses on teaching students the fundamentals of engineering experimentation that culminate inoral presentations detailing
) beacon mode and iii) remote mode, which utilize functions to make use of the sensor. This sensor was easily connected to MATLAB and programs written to utilize it. The functions associated with this sensor are straightforward and should be easy for first-year engineering students to use with practice.” “The ultrasonic sensor has two modes: i) presence mode and ii) measure mode. It would be possible to collect data and write the data to files for later analysis. This sensor was easily connected to MATLAB and programs could be written to utilize it. This sensor also makes use of functions that are straightforward for use in our programming course.” “The color sensor has three modes: i) color mode, ii) reflected
necessarily reflect the views of the sponsor.References[1] Schraw, G., and Dennison, R. S., (1994) ‘Assessing metacognitive awareness’, Contemporary Educational Psychology, 19(4), 460-475.[2] Conrady, K., (2015) ‘Modeling metacognition: Making thing visible in a content course for teachers’, REDIMAT, 4(2), 132- 160.[3] Pintrich, P. R., (2002) ‘The role of metacognitive knowledge in learning, teaching, and assessment’, Theory into Practice, 41(4), 219-225.[4] Martinez, M. E. (2006). ‘What is metacognition?’ Phi Delta Kappan, 696-699.[5] Schoenfeld, A., (2007) ‘What is mathematical proficiency and how can it be assessed?, In A. Schoenfeld (Ed.), Assessing Mathematical Proficiency, 53, 59-73. Cambridge: Cambridge University Press.[6] Safari, Y