potential source of assistance.Previous researchers have focused on engineering undergraduate-based feedback and advice 11 .They asked students to reflect on their experience through interviews and suggest ways forstudents to find happiness throughout their college years, for example, joining professionalsocieties. That research did not focus on study habits, which is the crux of the present paper’sprocess.The study presented here is also unusual among help-seeking research because the resultsrepresent actual help-seeking behavior rather than an intention to seek help 12,13,14 . Help-seekingintentions, often used by researchers to control for varying needs for help, may differ significantlyfrom actual help-seeking behavior 15,16 . The results of
supplement details in the change ofparticipants’ perceptions appeared in Likert-type questions [42, 43].III. ResultsIn this section, we presented student responses on the pre-post surveys to reveal if the programmet the criteria for success intended for goals of the program. These would reflect any increasesthat favor pursuing graduate education.A. Impact of Program on Career GoalsFigure 1 shows students’ changes in their career goals after the REU programs by program andby total. The number of students that responded to the corresponding survey questions were intotal npre = 32 and npost = 28 (in AERO, npre = 12 and npost = 11; in MSEN, npre = 12 and npost = 11;and in IIT: npre = 8 and npost = 6). Figure 1 shows the percentages of each students in
survey with the Leadership Community in order tomeasure and document progress, satisfaction and outcomes for the LVCP community. At thetime the survey was administered, the participants had completed the facilitator training and haddeveloped the content of the Safe Zone level 1 and level 2 workshops. The results reflect theperceptions of the members of a Community of Practice in the early stages of development andwill provide an indication of the strength of the foundation of a sustainable community ofpractice capable of achieving individual and community goals.Of the original 20 members of the VCP, one was unable to attend the facilitator training ormeetings due to schedule conflicts, and two were PIs on the project. Links to the online
(guided) individual career plans. Research Symposium. Awards ceremony. @ TAMU Formal survey/interview evaluations (both internal & external). Reflection essay. Dinner. Post Database & mailing list setup. Scheduled periodic status-update for continued guidance on 1-year career objectives (for 1-year). Post opportunities. Strategies to get back on track (if needed). Extended Periodic contact (beyond 1-year). Posting opportunities. Track professional career progress. [Fall] Evaluator report. Discussion & intervention plans. Grad student team-management-training. [*TAMU College of Engineering (CoE) Undergraduate Summer Research Grants (USRG) activity][CoE deadline] [#Evaluation activity] [%Brown
suggest that institution type may providevaluable insight into student identity formation. A potential explanation for this result is the cultural differences in place at eachinstitution. Students at the HSI may attend college with the expectation that they are receiving adegree to pursue a very specific career (e.g., “I’m getting an engineering degree to be anengineer”) while students at the PWI may attend college with the perspective that it will openmany different opportunities for them in the future (e.g., “I’m getting an engineering degreebecause it will allow me to do many different things with my career”). This trend is reflected inthe higher engineering interest and plans to work at an engineering job at the HSI
so we can not determine if particular course instructors are more or less influentialin students changing their minds. Also, meetings with academic advisors and information sessions about differentmajors offered are not captured in these data but are likely significant influences to students’ major choicedecisions.Changing Intended Major. The results of the logistic regression indicated that neither identity constructs, norMUSIC model constructs measured in the first-year data were significant predictors of whether a student wouldchange their intended major from their pre-orientation choice. Upon reflection this is not surprising as theseconstructs measure student’s perception regarding engineering as a whole, rather than specific
meaningful data for faculty to reflect on, they are generallyused by administrators to inform personnel decisions. It is therefore critical that researchersunderstand how to make faculty interaction with evaluation data more useful—especiallyconsidering their susceptibility to bias along lines of privilege and oppression. Moreover, mostresearch in this space has investigated the use and perceptions of existing evaluation measureswith relatively less focus on suggestions for new data. That is, fewer studies have askedengineering faculty to imagine new data, information, or stakeholders that might help themimprove. Such a process would be able to leverage human-centered design principles to developa more valid, meaningful approach to faculty
self-reflective in nature and designed to gather datarepresentative of the students’ perspectives of themselves as engineers and of the field (Table 2).The same questions were provided to the instructors to complete in written form via email.Table 2. Summary of survey questions used [10] (1) In your own words, define 'engineer'. (2) In your own words, define 'engineering'. (3) Do you consider yourself an engineer? Why or why not? (4) What are your professional goals in becoming an engineer? (5) What are the essential skills of a professional engineer? (6) What challenges do you have on working in group engineering projects?Data AnalysisAxial and thematic coding of the responses occurred for the survey responses to thesequestions
that seeks to promote diversity and improve transdisciplinary collaboration within the college. Specifically, I serve on the Resilience in Engineering Education Project team aimed to investigate the effects that students’ resilience and professional skills have on exam performance in technical courses.Dr. Nicola W. Sochacka, University of Georgia Nicola W. Sochacka is the Associate Director of the Engineering Education Transformations Institute (EETI) in the College of Engineering at the University of Georgia. Dr. Sochacka’s research interests span interpretive research methods, STEAM (STEM + Art) education, empathy, diversity, and reflection. She holds a Ph.D. in Engineering Epistemologies and a Bachelor of
to thefundamentals during all project phases and, especially, while conducting the analysis of theirmeasurements during the testing, revision and evaluation phases. The Virginia Tech class followsa top down approach, where the instructor provides a broad overview and the students analyzesome of the specifics of a standard trough different class assignments.The two classes consistently achieve the expected outcomes in terms of student performance,learning objectives, and instructor and class evaluations. We could observe a high student interestin 4G LTE, reflected by the students’ efforts in mastering the corresponding class assignmentsand project milestones. Interestingly, at Virginia Tech we observed that this motivation spillsover into
);• regular dialogue with the Board of Directors; and• diversity booth at Annual Conference & Exhibition (sponsored by industry).This time period included some struggles to get critical momentum going, although perseveranceprevailed until the committee reached a critical mass of members. Much of this progress was theimpact of Bevlee Watford’s role as a charismatic and direct-speaking leader. Processes becamemore institutionalized, which helped set ASEE precedents to move from good ideas, to actionand implementation, to institutionalization and sustainability. A reflection on this period isprovided in the Spring 2014 Diversity Committee newsletter by J.P. Mohsen, ASEE formerPresident [14].3.3. 2013-2014 (Chairs: Teri Reed & Adrienne Minerick
keepin mind that these are only proof-of-concept prototypes that don’t reflect all the details of thefinal product envisioned by the teams. The left-hand image in Figure 6 shows a concept with asmall camera that works with a receiver for Android phones. The students turned the cameraon/off using the PS3 controller in the hardware kit. The design also had a projectile launcher(adapted from a toy) that fired a single projectile in the hood. The projectile launcher wascontrolled using a servo.The right-hand image in Figure 6 shows a concept that used a track-type design for locomotion.This team ran into some issues with power consumption (they chose motors that required morecurrent than the hardware stack could supply). Like the first team, this
8.4% 7.4% 8 6 4.8% 4.4% 4 2.3% 2 0.1% 0Figure 2. Percentage by major of COE undergraduate students (N = 3804) in fall 2017Course FormatCommunication and engineering design concepts were delivered through lecture in an interactivediscussion format followed by in-class activities. Students were expected to attend lecture and toparticipate in exploration of these concepts through regularly scheduled in-class discussion,practice and reflection assignments. For example, the concept of “design problem statement” wasinitially introduced by
, Table 6 shows that for the three years studied, Wednesdaysconsistently have the most number of visits from students followed by Tuesdays and Thursdays.These results reflect that some capstone design classes meet and work at the center onWednesdays. Tuesdays and Thursdays are often workdays for competition teams. These resultsalso show the importance of weekend hours with 20% of visits occurring on Saturdays andSundays. Day of Week AY 2014-15 AY 2015-16 AY 2016-17 Mon 1166 14% 2021 13% 2984 14% Tue 1445 17% 2944 18% 3583 16% Wed 1752 21% 3434 22% 5286 24
approximately 50% of BioChEstudents work in the biotechnology and pharmaceutical industries.Figure 1 – Initial job placement of ChE/BioChE students in industry after graduation with a B.S.in ChE. Survey conducted by AICHE in 2015; this chart only reflects industry job placement(48.9% of students) and does not include the 22.9% of students that enter graduate school. Since such a large fraction of BioChE students pursue jobs in biotech/pharma, it isimportant that we prepare our graduates for those fields by training them with a wide range ofmodern biotechniques. For example, many jobs in the biotech sector require engineers to culturebacterial or animal cells, manipulate DNA to synthesize new genes or sequence existing genes,and purify
other capstoneprograms [8].In the 2016-2017 season, selected topics from The 7 Habits were introduced in two JuniorDesign lectures prior to team formation and reinforced by instructor throughout the course.These included proactivity and using the "circle of influence" as a specific tool to promoteadaptability; building trust by making "deposits" in the "Emotional Bank account"; thinkingabout desired outcomes (and requirements) through each step of the capstone program, i.e., to"Begin with the End in Mind"; and the importance of self-management as a prerequisite formanaging others [6]. In 2017-2018, short writing assignments were added to encourage studentsto reflect on the relevance of these concepts to their work as an engineering
student reflects on the culture shock of growing up in a largely Latinxneighborhood and entering a predominantly White institution: “I didn't necessarily feel comfortable. I just felt kind of weird. And out of place... [The PEEPS students] met before school started, and it definitely helped seeing people of different backgrounds, minority groups. I was like ‘This is great’... I'm really glad not only because I got the scholarship, but that I'm able to be a part of this wonderful group of people. And the different experience they have, or backgrounds that they have, it's nice because I have my own story. They have their own” Yeah, so that was my first welcoming group and little cohort that I felt-- Yeah I
and atti-tude. While this reflects the trend reasonably well, it is largely subjective. In the future, moreobjective data, such as information about the grades of the exams/homeworks in both the SIIPclasses and computational focused classes should be included to support the survey data.7 ConclusionIn this paper, we evaluate the efficacy of the implementation of computational modules into theMatSE curriculum through critical assessment of student feedback. The feedback illuminates in-creased student awareness of the importance of computational skills in materials science as theyadvance through the undergraduate program. It also suggests a demand for increased computa-tional content and the delivery of this content earlier in the
1, though this may be skewed by the phrasing of the question. 1.6 1.4 1.2 1.0 0.8 0.6 0.4 0.2 0.0-0.2 Q1 Q2 Q3 Q4 Q5 Q6 Q7 Q8 Q9 Class 1 (n=15) Class 2 (n=16) Class 3 (n=26) Class 5 (n=16) Figure 2: Pre-survey results by class.Table 4: Questions that correlate with Figure 2. Note that Q2 and Q5 are reversed: “positive” responses reflect disagreement with statement to maintain consistency in Figure 2. # Question 1 I want to learn as much as possible in this class. 2 I want to do as little work as possible in this class. (REVERSED) 3 In a class like this, I prefer course
because we expect there will be limited problemscreated in these topic areas compared to the more fundamental topic areas. In the future, theymay be expanded or sub-divided as needed.Keywords strategySearchable keywords can be added to each WeBWorK problem header, and may reflect aspectsof the problem beyond the subject-chapter-section terms. Because the exact keywords candepend on the specific content of the question, we did not attempt to create a comprehensive list,but rather to provide some suggestions for how they might be organized.We suggest that the keyword list could be developed like a faceted taxonomy. A facetedtaxonomy is a “controlled vocabulary that is divided into multiple sub-sets”3. They are oftenfound on e-commerce sites, where
may be expected, students from all year levels utilized the Mechanical, Thermal andChemical fields the most. Many of the ideas proposed by students overlapped between thegroups, and reflected familiar methods for cleaning, such as use of chemicals, and manualremoval. Example ideas generated by first year students include “use force at an angle(chisel+hammer) to chip barnacles off the hull”, “use hydrochloric acid to dissolve thebarnacles“, “move ship to the arctic so barnacles freeze to death” and “pass current throughhill, electrocuting the barnacles”. Examples of ideas generated by postgraduate studentsinclude “spray toxic gas that has a reaction with the barnacles”, “introduce a bacteria or livingorganism that can destroy the barnacles
five years, ensuring that weare using the documents that are actively shaping and reflecting the current departmental life. Wechose to analyze public and internal documents in conjunction with each other because theyallow us to see the stories that the department tells the public and itself about itself throughofficial documentary artifacts. In this way, we are able to explore the messages within thesestories about engineering identity for undergraduate engineering students in electrical andcomputer engineering. TABLE I DOCUMENT TYPES Document Type Document Sub-Type # of Documents Analyzed Public-Facing
model of what is occurring in different classrooms or different schools for a diverse set of schools. Modeling those systems, they can then look at the attributes of the teachers, school, school district, and figure out what enhances or detracts from the successful deployment of EarSketch from a sustainability stand point, sustaining the project beyond the grant.This team member understands that modeling helps to develop theories about bothimplementation (P3) and sustainability (P4.) This is reflective of the initial goals ofthe modeling effort set forth in the proposal development, where the intent was toidentify barriers and enablers to intervention sustainability.Some of the members of the team articulated a more
addedinteractive features for class in spring 2018. In this paper, we will present our material designrationale and the results from the spring 2018 class. A list of must-have features for reviewvideos and instructor reflection on course and video production will also be shared.II. Course Set-Up and Course Material DesignA. Course set-upLike other engineering courses in the curriculum, student academic performance in ME 491 isassessed through a variety of assignments. The weight of each category of assignments are listedin Table 1. Five assignments were designed to help students review prerequisite knowledge andskills. They are distributed across different learning units with a total weight of 7% of the coursegrade. Each review assignment includes a video
: Understand and interpret the organization and use of the AISC Manual of Steel Construction Identify and apply appropriate steel provisions (AISC) to elements and systems. Design steel members using the Load and Resistance Factor Design (LRFD) approach. Develop skills in completing and checking individual component and complete structural system designs. Due to the volume of possible topics that AISC incorporates within the Specification, thetopical list for AE 401 was selected to be reflected of most standard entry level undergraduate steeldesign classes. Due to our mandatory two steel classes in the undergraduate AE program, no lateralmembers or systems are discussed. Instead, AE 401 is gravity focused while the advanced
author(s) and do not necessarily reflect the views of the National Science Foundation.We also wish to acknowledge the assistance of the Institutional Research Officers at each campusin gathering the data used in this analysis.References [1] X. Chen and M. Soldner, STEM Attrition: College Students’ Paths Into and Out of STEM Fields (Statistical Analysis Report), ser. National Center for Educational Statistics (NCSE) Statistical Analysis Reports. U.S. Department of Education, 2013. [2] J. Levin and J. H. Wyckof, “Predictors of persistence and success in an engineering program,” NACADA Journal, vol. 15, no. 1, pp. 15–21, 1995. [3] J. Middleton, S. Krause, S. Maass, K. Beeley, J. Collofello, and R. Culbertson, “Early course and grade
. Innovation 16. Argument construction 17. Intellectual risk Domain B: Personal B1: Personal qualities 18. Enthusiasm Effectiveness 19. Perseverance 20. Integrity Definition: The personal 21. Self-confidence qualities and approach to 22. Self-reflection be an effective researcher. 23. Responsibility B2: Self-management 24. Preparation and
the deliberate effort of the committee to develop clearer and more concisecognitive domain outcome statements that better reflect the levels in Bloom’s Taxonomywith an appropriate verbs at each level. Another major consideration for the committee wasto be less prescriptive in the outcome statements.The committee first debated which educational taxonomy to use and considered the originalBloom’s Taxonomy, the revised Bloom’s Taxonomy, and at least one other variation ofBloom’s Taxonomy. The committee concluded that the original Bloom’s Taxonomy wasthe most appropriate for BOK3 and discussion on this selection process will be presented.When critically reviewing the BOK2, the committee concluded that some of the outcomestatements only loosely
-learned”.Detailed description of pilot course syllabusThe monograph Science and Diplomacy: A New Dimension of International Relations [13] wasused as the primary text for the course. One benefit of a text translated from French is that theexamples and the perspective are offered based upon science diplomacy as practiced by France.This varies considerably from the approach to science diplomacy as practiced by the UnitedStates (i.e., as reflected in the material published by AAAS, [33]), and it also varies considerablyfrom the approach to science diplomacy as practiced by the United Kingdom (i.e., as reflected inthe material published by The Royal Society, [2]). One drawback of a text translated fromFrench is poor translation in various places
provides opportunities for students to talk directly with membersfrom various stakeholder groups in the VA coalfields including state regulators, industrymembers and local citizens.3. SurveyAppendix A includes the survey instrument used in the first year of the study analyzed here. Itwas designed to measure students’ knowledge, abilities, and attitudes [15] related to CSR andcollect relevant background information to explore possible connections between those and thedemographic information, students’ motivations for pursuing engineering, their career desires,and their civic activities. The survey reflects feedback from an expert panel of engineeringeducators and industry practitioners, as well as “talk alouds” with students. Going through thefirst