those originally developed by Shah et al.22and further refined by Linsey et al.23. All of the analyses began on the solution-level. A solutionis a full concept developed by a participant. A participant often generated multiple solutionsduring an idea generation session.1. Quantity of Non-Redundant IdeasAn idea is a component of the design that satisfies a term of the Functional Basis24. To analyzethe data, the ideas were listed for each of the solutions and then aggregated for each participant.After removing the redundant ideas, the resulting number of ideas gave the quantity score for aparticipant. An independent mechanical engineering design doctoral student analyzed at leasthalf of the data for each class. The minimum inter-rater agreement
? Journal of Engineering Education, 94(1), 41-55.[4] Law, J. (1987). Technology, closure, and heterogeneous engineering: The case of Portuguese expansion. In W. Bijker, T. Hughes & T. Pinch (Eds.), The social construction of technical systems: New directions in the sociology and history of technology (pp. 111-118). Cambridge, MA: MIT Press.[5] Froyd, J. E., & Ohland, M. W. (2005). Integrated engineering curricula. Journal of Engineering Education, 94(1), 147-164.[6] Kotys-Schwartz, D., Knight, D., & Pawlas, G. (2010). First-Year and Capstone Design Projects: Is the Bookend Curriculum Approach Effective for Skill Gain? Paper presented at the American Society for Engineering Education.[7] Cornwell, P
research bystudying how students’ perceptions of engineering practice develop as they progress through a program,and how historically and technically contextualized educational activities can shape that progress and/orreframe their beliefs about their education and training. The semi-structured interviews in particular willreveal how students’ perceptions of engineering practice change longitudinally and the degree to whichthe aforementioned educational activities influence that trajectory. In addition, the larger group ofstudents who are invited to participate in surveys will enable us to draw inferences from a broader sampleabout intention to persist as well as baseline levels of familiarity with engineering in general. This workwill contribute
career success. Generally, prior research confirms the benefits of work-relatedexperiential activities in students’ transition to the workforce, but more evidence is needed toexamine the contribution of WREA participation in the development of career compentencies.This paper is part of a larger study funded by NSF’s EHR Core Research Division forEngineering Education and Research. Sixty-three percent of the students surveyed in spring2021 and spring 2022 at five institutions in one U.S. state said they completed one or moreWREAs during their baccalaureate studies. With only a few significant differences by students’gender, race/ethnicity, or financial aid status, student responses indicated high value indeveloping skills related to career
: the mixed signals, challenges, and new language first-generation students encounter. Lanham: Lexington Books, 2018.[3] Appalachian Regional Commission, “Strengthening economic resilience in Appalachia: A Guidebook for practitioners,” 2019. [Online]. Available: https://www.arc.gov/research/researchreportdetails.asp?REPORT_ID=150[4] D. Zinger, J. Haymore Sandholtz, and C. Ringstaff, “Teaching Science in Rural Elementary Schools: Affordances and Constraints in the age of NGSS,” Rural Educ., vol. 41, no. 2, pp. 14–30, Sep. 2020, doi: 10.35608/ruraled.v41i2.558.[5] L. M. Avery, “Rural Science Education: Valuing Local Knowledge,” Theory Pract., vol. 52, no. 1, pp. 28–35, 2013, doi: 10.1080/07351690.2013.743769.[6] M. A. Boynton
concepts that would fit into one or a few class periods. Of lesser importancewere lecture presentation materials, test questions, a great deal of technical rigor and stipends. Nano-Linkalso changed the approach toward professional development by shortening educator workshop duration,focusing on the activities, providing support for correlation with science concepts and providing all of thetechnical detail in on-line lectures (optional for educators).Figure 1: Synergy Project logic model. Page 23.62.3The Modules:Based on the surveys as well as several educator focus groups and one on one interviews, the modularconcept for the educational
. We will illustrate an interdisciplinary approach to collecting, treating, and analyzingprocess data. That approach will help lead to a better understanding of how students’programming processes differ by their proficiency level and how processes interact with taskcharacteristics.References [1] Sally A. Fincher and Anthony V. Robins. The Cambridge handbook of computing education research. Cambridge University Press, 2019. [2] Benjamin Xie, Matthrew J. Davidson, Min Li, and Amy J. Ko. An item response theory evaluation of a language-independent cs1 knowledge assessment. In SIGCSE ’19: Proceedings of the 50th ACM Technical Symposium on Computer Science Education, 2019. [3] Michael Kane. Validating the interpretations and uses of
Global Waste Research Institute (GWRI) atCal Poly, provides unique opportunities for undergraduate students to participate in theadvancement of fundamental research related to wastes and byproducts. The institute providesthe focal point of the REU program. A primary goal of the institute is to advance currentpractices in resource management. Ongoing research seeks to provide anticipatory solutions tothe entire lifecycle of large quantities and wide varieties of wastes and byproducts generated inthe U.S. and around the world.The REU program, currently in its second year, supports ten students over a 10-week periodduring the summer. The principal objectives of the program are: (1) to engage undergraduate
ThemoPowerSustainCity Transportation Mystery of Traffic Lights Digital Electronics Stability Civil Engineering and Architecture Waste BioEnergy Biotechnical EngineeringGAME THEME AND DESIGNIn this section, we exemplify the educational process in five experiments of different complexity,one with detailed illustration to showcase the seamless integration of CI facilitation,metacognitive strategies and scientific content in a fun game setting, and the other four with abrief outline of the setup and pertinent science and engineering principles.Game 1: Power Ville – Energy is at the heart of everybody’s quality of life. How to generate anduse energy that satisfies the
students’ performance in thesubject better. Rangel et al. [39] speculated that a generic growth mindset intervention needsdomain support to change academic performance.RecommendationsThe takeaway message from the literature review so far is that a genuinely effective debuggingeducation intervention must be holistic and domain specific. Holistic means that the interventionshould address both cognitive and affective components. Domain specificity means that anygrowth mindset message should be contextually situated within the subject matter materials.Hence, our next step is to develop a pilot debug training program within the laboratory sessions ofan introductory microelectronic course (Sedra & Smith [41]) at our institution.ConclusionThe
necessary hardware to the participating universities from differentparts of the US, and the feedback received by the students participating in the competition.BackgroundBrief history of surveying educationCivil engineering and surveying education have strong ties that go back to the early history(1800-1900) of surveying education in the U.S. [1]. In these early years surveying was taught inmathematics departments and later in civil engineering departments. The American Society ofCivil Engineering (ASCE) was founded in 1852, and one of its early technical divisions was theSurveying Engineering Division. This was founded in 1926 [2] in order to provide leadership insurveying. For many years surveying grew under the wing of civil engineering. The
technique, 20 participants were purposefully selected (9 from mathematics and 11from engineering courses) for the subsequent qualitative data collection part. Qualitativedata were generated through one-on-one interviews and think-aloud protocols (TAP) with 20students from the EM course. In the TAP sessions, each student was involved in fourproblem-solving activities, including one easy and one difficult problem at the start and endof the semester respectively. This approach ensures a comprehensive assessment of theirproblem-solving abilities across varying levels of difficulty throughout the academic term.This process yielded a comprehensive dataset of 80 qualitative events, capturing studentsenacted self-regulation of cognition (SRC) and self
- tasks and activities that are necessary in all practical designsive” but not obscuring “the general structure of the design work.” He seems to refer to Archer’s “Systematic method forprocess by swamping it in the fine detail of the numerous designers”. (See page 98.) 33 Figure 1: Pahl and Beitz from [4] Figure 2: d.school design process modelMosborg [6] examined the design process representations of expert design practioners in aneffort to get at one universal version. Previous studies [7, 8] have characterized the relativedesign processes of college freshman and seniors
Generation Science Standards, which have not yet been released, intend tomotivate all students to engage actively in science and engineering practices. With the focus nowshifting more heavily on technology, research, technical reading and communication, classroompractices must also change to meet these needs. From an inspirational standpoint, the framework [for K-12 Science Education] emphasizes the importance of technology and engineering in solving meaningful problems. From a practical standpoint, the Framework notes that engineering and technology provide opportunities for students to deepen their understanding of science by applying their developing scientific knowledge in different contexts. Both arguments
TA is critical. Inour project, we have two parts for TA training: oral exam behavioral aspect training throughasynchronous videos, and technical training led by course instructors.For the behavioral aspect training, the project team developed and implemented oral examadministration training for TAs, which included five videos and reflection exercises: 1. Why useoral exams; 2. Adopting an equity mindset; 3. Reducing anxiety; 4. Growth mindset; and 5.Effective communication as the assessor. Each video is around 10-minute long. TAs wererequired to complete the training before giving their first oral exams. After completing eachvideo, the TAs were required to complete a learning reflection. A sample question is seen inbox1. Box
)understand the role that network analysis can play in both understanding the connection betweenthe structure and successful functioning of a makerspace and (2) identify potential roadblocksthat prevent students, especially underrepresented minority students, from feeling comfortable inand using makerspaces.IntroductionThis project applied network bipartite modeling and metrics to engineering makerspaces tounderstand and gain overall measures of time-based changes to and differences between thespaces. Figure 1 provides a visual overview of the illustrative data and the network analysismetrics that would be associated with it. The top two graphs make it very hard to tell if studentsare generally using more tools and thus learning more. Instead, using
and the lab part covered thepractical applications of the theory.Strategy to Develop Energy Research Infrastructure The model in Fig.1 shows the strategic plan to develop energy engineering center atPrairie View A&M University The main ingredients of the energy research infrastructure were todevelop energy engineering course curriculum and a full functional energy lab. However, thescope of the current development phase depicted in this model considered both alternate andrenewable energy parts in general, but the focus was mainly on alternate energy infrastructure inthis paper. Page 25.467.5 Figure1. Model for the energy
’ exposure to failure case studies has been well documented, 1the documentation of their relative benefits on different aspects of student learning outcomes(professional, technical, ethical, etc.) is scarce. The purpose of this study is to assess the impactof including case studies in civil engineering, engineering mechanics and constructionmanagement courses on students’ technical and professional development. Existing and newfailure case studies are being included in multiple undergraduate courses offered across a numberof semesters at seven participating universities1 (see Table 1).In earlier work, students in courses were surveyed about the contribution of failure case studiesto attainment of the ABET Criterion 3 a-k student outcomes 2. A mixed
over time. As will be explained in more detailbelow, specific ERP components can be identified that index a particular cognitive processassociated with the processing of this external event. We collected ERP responses to literal,nonsense, and novel metaphorical sentences that were either referring to engineering knowledgeor general knowledge, testing engineering and non-engineering students. Following Rutter et al.[1], sentences differed in verb only and had been classified in prior sentence norming studies ashighly unusual and highly appropriate (novel metaphors), low unusual and highly appropriate(literal sentences), and highly unusual and low appropriate (nonsense sentences). Participantsread sentences while their EEG was recorded, and
comparisons between students’ early and late lab reportscan provide areas of struggle where students could not improve.2.2 Student lab report sample evaluation process and instrumentAll the sample lab reports were assessed using the nine engineering lab report writing outcomesdeveloped by the authors[Ref]. A panel consisting of the five engineering faculty evaluated allthe samples. The extensive norming session for the developed rubric (need improvement = 1,satisfactory = 2, exemplary = 3) was conducted before the full-scale evaluation. Individualpanelists carefully read one sample to provide 1 to 3 for each lab report writing outcome. Onesample was assessed by two panelists.Table 1. Lab report writing outcomes [17]: Lab report writing outcomes
CCSUgraduates stay in Connecticut upon graduation. This benchmark is much higher for CCSUcompared to graduates of other universities in the state [1].Since 2021, our Master’s in Software Engineering program has been supported by an NSF S-STEM award “Advancing Graduates in Learning Experiences (AGILE)” to attract and retainacademically talented financially disadvantaged first generation and underrepresented minoritystudents. The author of this report serves as the PI on this NSF award. AGILE scholarshipprogram builds on the strengths and experiences of three prior S-STEM programs supportingComputer Science undergraduates at CCSU. This program implements and offers industry-centric curricular and co-curricular activities proven to improve student
abandwidth of low frequencies. Page 24.132.7 Figure 4 – Integrator Circuit Page 24.132.8Figure 5 – Practical Differentiator CircuitThe student tasks are to: 1. Derive the transfer function in the Laplace transform domain. What type of filter does the circuit represent? 2. Write a well commented MATLAB function to calculate and plot the magnitude response of the circuit. The freqs command will be helpful. Generate a plot for R1 = 1.6 kΩ, R2 = 100 kΩ and C = 0.01 μF. 3. From the plot, deduce the bandwidth of frequencies for which differentiation is performed. For high frequencies
revealed as clues were unveiled in an “archaeologicaldig”. Clues included technical, global, economic, social, and environmental aspects of a product. Course Information Implementation Information Assessment Discipline Course Size Level Location Type Length InstrumentsAll Eng < 25 Fr In-class Individual 1 class/lab session Design Majors 25-50 So Outside Group 1-2 weeks scenariosBiomedical 50-100
will alsohave a one-on-one mentoring session with a focus on research engineer identity development. The third initiative, and the subject of this paper, involves the development of a valid and reliablesurvey-based scale measure of Research Engineer Identity (REI). A two stage sequential mixed-methodresearch design is being used to develop the scale. This paper focuses on the first stage in the designwhich involved conducting focus groups with research engineers to gain insight into the content,character, and complications associated with internalizing a REI in general and among people fromunderrepresented groups in particular.Background Identity in STEM The need to broaden participation within STEM fields to underrepresented
.7. Recognize “scientific language” and “teacher language,” and know when and how to use eachlanguage.SECTION TWO: PROGRAM ACTIVITIES:For Items 8-14, please rate the various summer program activities on their usefulness on a scale of1-5, with 1 = Not useful and 5 = Very Useful. Please make comments.8. Participating in intensive research on various aspects of smart car vehicle development.9. Coaching on curriculum development with new standards.10. CMU faculty visits highlighting research and education topics.11. Training sessions for lab instruments and/or tools.12. Professional development sessions on effective teaching.13. Social activities and team building activities.14. Reflection sessions.SECTION THREE: RESEARCHFor Items 15-19, rate
. Introduction and BackgroundThe COVID-19 pandemic triggered a seemingly abrupt paradigmatic shift in education fromtraditional face-to-face, classroom-based teaching to fully remote, virtual teaching environments.Even once the initial cause of this shift is no longer a driving force, the younger generations haveexpressed a desire for continued virtual learning options and a shift towards a generation of “digitalnomads [1-3].” Universities for learning must accommodate this desire for flexibility and instantonline learning to remain a desirable and viable option for future generations of students [4-6].This shift immediately presented institutions of higher learning with challenges relating tostudent’s psychosocial (e.g., weak sense of belonging, low
current power generated by solar panels, total electricalenergy produced by the system through out the day and monthly savings due to the solarpower system. Virtual experimentation helps students develop their understanding of all thepros and cons of a solar photovoltaic system.After introduction to the solar power system and technical and economical aspects ofsupplying electricity using such systems the students can use the set of simulations that modeland visualize the basic processes occurring in semiconductors. Screenshots of two of thesesimulations are shown in Figure 2 below. Page 22.1586.4Figure 2. These simulations enable students to study
Challenges [1] and “Transition to Scale” challenge in Grand ChallengesCanada [2], require technical solutions that can only be developed through collaboration withininterdisciplinary teams. For these collaborations to effectively harness the diverse capabilities ofthese teams, effective technical leadership must be deployed.While the education system has worked to increase graduation rates of technical professionals--such as engineers—there are persistent demands from industry to improve professional skillcompetencies [1], [2]. This NSF-funded project has worked to bridge this gap by developing adata-driven understanding of how undergraduate engineers develop as leaders through the lens ofidentity constructs [3]. An exploration of the project’s
-lifeexperiences of participants.For this study, reflexive thematic analysis was a good fit as it is a flexible way of analyzingqualitative data [7, 8, 9, 11]. The use of reflexive thematic analysis facilitated the development ofthemes and patterns within participants' narratives. RTA comprises six phases: (1)familiarization, (2) coding, (3) generating themes, (4) developing, and reviewing themes, (5)refining, defining, and naming themes, (6) and report writing [6]. These phases serve as asystematic guide for researchers, facilitating the exploration, interpretation, and presentation ofqualitative data while ensuring rigor and reliability in the analysis [6, 8, 12].Table 1. Demographics of participantsPreliminary findingsThis research is ongoing, and more
. Participating students were recruited from four institutions: small private, mediumpublic, small technical, and large public universities. A fifth pool was comprised of students en-gaged in Engineers Without Borders – USA at more than twenty universities across the nation.Participants were randomly assigned to one of two methodological groups: (1) online survey of150 questions (n=254), or (2) online survey plus 30 minute interview (n=120). Participation isplanned for three years, biannually; this paper shares some findings from the first year, Springand Fall 2011. The online survey collected demographic information along with a self-assessment on several topics: self-efficacy, motivation, satisfaction, retention, engineer identity,attitudes on learning