based upon work supported by the National Science Foundation underAward No. 2205033. 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] N. Choe and M. Borrego. “Prediction of engineering identity in engineering graduate students,” IEEE Transactions on Education, vol. 62, no. 3, pp. 181-187, 2019. Available: https://ieeexplore.ieee.org/abstract/document/8667045.[2] M. Bahnson, H. Perkins, M. Tsugawa, D. Satterfield, M. Parker, C. Cass, and A. Kirn. “Inequity in graduate engineering identity: Disciplinary differences and opportunity structures,” Journal of Engineering Education, vol. 110
Class action lump settlement 670,000,000 Total 1,162,900,000 Based on text information in [15]The 10-year gap between 2005 and 2015 reflects the time needed for a blood sampling program;rather than splitting the settlement among the plaintiffs, the court initiated the C8 Health Project.Medical personnel sampled the blood of as many residents in specified areas as possible, most ofwhom were unaware of the presence of PFOAs in their drinking water. Incentivized by a $400stipend per person, more than 70,000 participated in a battery of 50 tests, generating a wealth ofdata that took scientists eight years to analyze. The project became “the largest private study ofliving
also betransferrable to other institutions. The reported assessment of the final project option showedgreat potential to increase creativity in the Statics course, which could have a further impact onthe engineering education curriculum.AcknowledgmentsThis material is based upon work supported by the National Science Foundation underIUSE/PFE: RED Grant No. 1920761 (PI: Prof. Maria Chrysochoou). Any opinions, findings,conclusions, or recommendations expressed in this material are those of the authors and do notnecessarily reflect the views of the National Science Foundation. The authors would like to thankProf. Mousumi Roy and Caressa Wakeman for their valuable assistance in rating projects.References[1] J. C. Blickenstaff, “Women and science
Analysis of Stress and Distress During the COVID-19 Pandemic,” J Psychoeduc Assess, vol. 40, no. 1, pp. 125–141, Feb. 2022, doi: 10.1177/07342829211056725.[36] P. R. Pintrich, “A Conceptual Framework for Assessing Motivation and Self-Regulated Learning in College Students,” Educ Psychol Rev, vol. 16, no. 4, pp. 385–407, Dec. 2004, doi: 10.1007/s10648-004-0006-x.[37] B. Hofer, S. Yu, and P. R. Pintrich, “Teaching college students to be self-regulated learners,” in Self-Regulated Learning: From Teaching to Self-Reflective Practice, D. H. Schunk and B. J. Zimmerman, Eds. New York: Guilford Press, 1998, pp. 57–85.[38] S. Rodríguez, R. González-Suárez, T. Vieites, I. Piñeiro, and F. M. Díaz-Freire, “Self
high rates of universitydropout and the determination of its main causes and solutions [1]. Dropout affects significantlyboth personally and socially. Deficient education for dropouts can be reflected in a significantdecline in their future economic and social well-being [2]. Furthermore, a shortage of skilledworkers can undermine a country's productivity [2]. Currently, universities have high dropoutrates that are evidenced in the data officially presented by official institutions. According to theUnited Nations Organization, dropout exceeds 40% in Latin American countries such asColombia and Ecuador, and even 50% and 54% in Costa Rica and Brazil respectively [3]. Theserates worsen significantly when emphasis is placed only on STEM careers
project-based learning can enhance confidence and refine a skill setdirected towards engineering fields. Feinaur’s integration of innovation and entrepreneurshipinto first-year engineering courses focused on product-based innovation projects to develop acurriculum for students [5]. Students were successful in applying the techniques that theylearned.Assessing engineering design through projects has proven to increase first-year engineeringstudents’ self-efficacy [6]. This study included an in-class team design task supplemented byindividual reflections. The exam on the other hand was an individual written assessment. Resultsconcluded that the design task increased levels of self-efficacy more than the exam.Conclusions about whether a student
to graduate college. Quittingor failing was not an option.Degree attainment resources: The codes of “Navigational Capital,” “Self-reliance,” and “Pridein self” are rooted in where the student found confidence, value, and resources to progresstoward graduation. He sensed that although “...people that do belong, um, are willing to help youalong the way,” he felt that he had to be self-sufficient: “I feel like they could tell. You know,that, that I was different, but I was trying…just gotta work hard. Takes a lot of work.”This student mentioned the importance of hard work throughout his interview. For example, “Mylearning has always been a reflection of my hard work…” and “I’ve always believed that youcan, you can, you can work to get where you
-cognitive theory, Zimmerman [14]established a cyclical framework of self-regulation that is divided into three phases: 1)forethought phase (processes promoting a learning mindset by involving one’s beliefs, attitudes,and processes before any academic task), 2) performance control phase (intentionally 2participating in learning activities specific to a personal strategic plan and augmenting learningby utilizing self-control and self-observation processes), and 3) self-reflection phase (evaluatingpersonal performance against goals, learning outcomes, or self-standards and modifying futurelearning strategies). The cyclical nature of this model posits
especially important to offer electives that reflect the availabity and expertise of the faculty, the interests and enthusiasm of the students, and the current needs of industry. Students responses show a mixed reaction to electives offered by the department, which is expected given that the electives offered each year vary widely. While some students indicate satisfaction with the elective topics offered, others expressed displeasure with the frequency and limited range of topics.Theme 3: Department Support Services (93/551 code segments – 17%) • Networking, technical, and social activities: The department prides itself on the wide range of activities that are organized each year to support student engagement
adequate time was not allocated for testing. This affected their outcome at the competition.Cost of ImplementationDepending upon the number of students and teams, the cost is variable. In the first year using theVEX U platform, the cost was approximately $1200 per student (20 students = $24K). Themajority of robot component parts are reusable. The playing field and perimeter remain the same,with the addition of a new set of game elements. Miscellaneous new components includereplacement motors, hardware items, and sensors. Prices have risen over the past two years andapproximate current prices are reflected in Table 3. Table 3. Current Initial Cost – (Class of 20 students - 5 teams) Quantity Description
Manage, vol. 37, no. 1, pp. 280–304, 2011, doi: 10.1177/0149206310386227.[10] K. L. Meyers, S. E. Silliman, N. L. Gedde, and M. W. Ohland, “A comparison of engineering students’ reflections on their first-year experiences,” Journal of Engineering Education, vol. 99, no. 2, pp. 169–178, 2010, doi: 10.1002/j.2168-9830.2010.tb01053.x.[11] P. J. Collier, “Why peer mentoring is an effective approach for promoting college student success,” Metrop Univ, vol. 28, no. 3, 2017, doi: 10.18060/21539.[12] J. M. Kiyama and S. G. Luca, “Structured opportunities: Exploring the social and academic benefits for peer mentors in retention programs,” J Coll Stud Ret, vol. 15, pp. 489–514, 2014.[13] R. Ghosh and T. G. Reio, “Career
practices compromise the data on student competenceand seriously mask student learning and teaching inefficiencies [9; 10; 11 and referencestherein]. Students deserve to be treated fairly and therefore the grading system employed shouldaim to be consistent across a program. Rubrics provide a mechanism to standardize grading sothat student scores reflect student performance objectively [7]. A rubric articulates specificstudent skills and expectations on a categorical scale. Modern LMS’s support the implementationof grading rubrics for scoring student performances.The purpose of this paper is to demonstrate our efforts to automate student outcomes assessmentusing the Canvas LMS. Criterion-based assessment (CBA) is described as the process
, higher education is part of a broader inequitable system. If inequities that occur beforecollege divert students from pursuing STEM degrees, changes to university programs will havelittle impact.The current work is a quantitative study focused on studying the systemic factors that impact therepresentation of women among chemical engineering graduates. We note that the granularity ofour analysis is limited by the use of institutional data. For example, we have ACT scores as acrude proxy for opportunity gaps in high school (the hypothesis being that opportunity gapswould be reflected in this metric).Following the framework of Costello et al. (2023), wehypothesize that the lack of representation of women in chemical engineering could be due to (1
-making technology to miniaturize the laser array. In workingmode, 576 points fill the field of view of the iPhone camera at roughly 60 º by 48º [12], and lightpulses, reflected off objects in the environment, are received by a single-photon avalanche diode(SPAD) that functions as the camera or receiver. The depth map that is ultimately available toapp developers is processed within the phone’s architecture based on a combination of inputsfrom the LiDAR sensor as well as the phone’s camera, accelerometer, gyro, and magnetometer.The LiDAR sensor improves the accuracy of depth sensing while the camera allows for greaterdensity. The technology represents a significant leap in mobile sensing and more details areavailable for the interested reader [12
% 15% 6% 6% 3% 3% 0% 0% 0% H OME WOR K 1 H OM E WOR K 2 H OME WOR K 3 H OME WOR K 4 Figure 1: How well did your team perform compared to your expectations? Difficulties surrounding teamwork during Homework 3 were also reflected in the level ofengagement of teammates reported in the homework surveys, shown in Figure 2. The percentageof students who felt all of their teammates were engaged when completing the homeworkdecreases between Homework 1, 2, and 3, and compared to the other assignments
orientation also covered best practice advice on how to get the most out of the mentoringexperience focused particularly on being prepared to connect, learning to ask questions to thementor, and listening for examples that connect with their goals, being open and honest in thecommunication, and periodically assessing and reflecting with their mentor to make sure bothparties were bringing what the other needs to the connection.At the end of the meeting, any mentoring pairs who were present were encouraged to take timeto meet in breakout rooms.MeetingsThe mentoring relationship lasted for 10 weeks. Table II, shown on the following page, includesthe suggested meeting schedule that was shared with participants. This schedule was based onthe model of
’ responses are presented below.Concept Representation: This theme discusses how learners perceived the VR labs to havedisplayed learning concepts they were designed for. Some of the participants commented thatthe VR labs displayed the intended learning concepts in a way that made them mentallyrelatable. Their perception of the VR for the lab reflected perceptions about the utility valueand tool efficacy of the VR labs. More than half of the participants thought the VR labs gavea good visual representation of abstract concepts introduced during classroom lectures. Forexample, a student commented as follows: “This was important in showing what a real cell culture would look like ………. better than having read a textbook.”This
knowledge to connect the secondary sources) to in-depth lab data analysis; connect the in-depth lab however, it is limited. data analysis (the lab data as the primary sources).6) Provide an effective The writer draws The writer provides closure The writer fails to closeconclusion that summarizes meaningful conclusions by summarizing the the report. Thethe laboratory’s purpose, and reflects on the analysis but may draw conclusion is C experiment as a whole in
as a result, age.Unsurprisingly, Figure b shows 97% of respondents with a civil engineering background.Participants were not asked for their specific focus within civil engineering, so the percentage ofrespondents with backgrounds in transportation engineering specifically may not be reflected inthat 97%; however, a review of the respondent information suggests that this 97% accuratelyreflects a background in transportation engineering. This supports the notion that transportationengineering courses are mostly being taught by individuals with a background in or closelyrelated to transportation. Figure c shows most respondents as tenure or tenure track facultymembers at their universities. A small portion of respondents are non-tenure track
the Advisor Supportconstruct.Survey Instrument DevelopmentOur survey was developed by adapting two existing scales to our research question and context,namely the Dissertation Self-Efficacy Scale (DSES) [13] and the Advisor Behavior scale [8].The DSES scale was adjusted to be relevant to either doctoral or masters’ students indissertation, thesis, or applied project tracks and, with 14 total items, was renamed Thesis Self-efficacy. The decision to generalize the items to doctoral or masters’ students can help generalizeour survey for use at MSIs, where a recent nationwide study showed that 89% of graduatedegrees awarded at these institutions are master’s degrees [34]. The Advisor Behavior [8] scalewas adapted to reflect only those items
the explainedcontent, giving the option to repeat the video and the quiz if the student so wishes. In terms of thepractical part, after the students watch the video and take the quiz, they are ready to put intopractice the knowledge acquired using the workstation, the applications and the correspondingpractice board for the course. To support the students in this practical part, step-by-step tutorials(figure 9) have been developed for each practice, which are fully illustrative and realistic, givingthe students the appropriate accompaniment so that the level of confusion is minimum whencreating a circuit. Similarly, to the explanatory videos for the practices, reflective questions(figure 10) have been developed that guide the students in the
management (n = 8),transitioning to college (n = 5), and commuting (n = 3). Time management, especially coupledwith transitioning, was a main issue in the beginning of the semester. Specifically, studentsstruggled with balancing responsibilities in their lives (e.g., spreading out assignments andreadings instead of waiting until the last minute, study life versus work life, exercise, sleep andwaking up schedule). Being commuters affected academic performance and health. Due to a longcommute, sometimes students came to classes late, missing critical class information. Thisimpacted their understanding of the subject matter, and it was reflected in their low grades.Similarly, after a long commute back home, they only had limited hours of sleep. This
and thetransition process. This seems to be reflected in interview data from SPECTRA students. Theygreatly enjoy the research and CI classes they take and are enthusiastic about sharing theirprojects and experience. One student credited their experience with SPECTRA research towanting to pursue graduate school in the future. Example quotes from students highlighting SPECTRA Benefits and undergraduate research “it really has opened me up to the idea of graduate school. I came from a two-year technical college and I was like, go to Clemson and get my degree. Bachelor's, call it quits work, but I'm beginning to work and do this research has really got me thinking about maybe, I could do this. I could go to graduate school, seeing what it's like
. tracks.Linnstrument Linnstrument Subtle finger Linnstru Can be played using a Wide range of Intended for Resembles a Linnstrument[26]. is a MIDI movements can ment single finger. Also can precise and those familiar digital tablet, 128 (less controller be detected to MIDI be played atop a table, unique music with music and with brightly customizable) controlled reflect unique controlle using a guitar strap; complexity willing to spend colored lights $1099. through music controls r, any can be used with with time learning
. Relative to the EDP, EM is anewer addition to the FYEP curriculum, so we posit that an EM-to-EDP connection may indicatethat students are beginning to see an EM as integral to the design process. Although we hesitateto draw strong conclusions given our sample size, future work should explore how studentsconceptualize the relationship between moving through the EDP and doing so with an EM astheir guide.On the other hand, Exploration was the least applied code across datasets. Our finding thatstudents mentioned Exploration the least may indicate an area where the design projectcurriculum can be improved. For example, we could have students reflect on how externalexperiences, resources, and/or other courses may relate to their projects, or we could
conditions. The numbers in the gray boxesalong the top row reflect the boiling points of 5% and 10% sulfuric acid solutions, respectively,which are higher than the boiling point of water.Once one tabular graph is shown, there is no need Titaniumto repeat the numerical headings on subsequentgraphs. We can make smaller graphs using thesame grid pattern to help compare one materialwith another. This smaller graphic shows thattitanium is good at low concentrations of sulfuricacid at all temperatures, while it corrodes readily athigher concentrations at all temperatures.Colored graphical tableexample: FormingProcesses for StainlessSteelsThe previous examplesincluded tables usingsymbols or numbers.This table from Vol. 14of the ASM
magicinteractions.2. Related ResearchThis section reviews previous research on active, online, and VR-based learning. We also analyzedifferent VR interaction methods. Our objective is to examine prior studies in related areas, analyzetheir findings, and compare our proposed research. Additionally, this section emphasizes variousinteraction methods used in previous studies and their impact on collaboration.2.1 Active LearningActive learning follows a constructivist approach and emphasizes student engagement and hands-on, collaborative activities. Constructivism proposes that people gain knowledge through practicerather than passive observation. This approach promotes self-reflection and helps students developthe essential skills needed for professional
% 59% 1% Average* 69% 58% 11% 59% 57% 2% Sample SD 19% 13% 6% 20% 17% 3% Max Score 88% 81% 8% 91% 74% 17% *Average calculated without zero valuesIn the class data from the initial effort (2020), scores were higher for the group with theinstructor in the room than for the group using the video link. The biggest difference is seen inthe median scores (75% vs 58%); there is less difference in the maximum score (88% vs 81%).The results for Spring, 2022, reflect changes in the procedure for offering these courses. Theinstructor was still operating from one
in thecollege. Through this work, GradWIE seeks to continue supporting graduate students byinvolving them directly in group and event development, providing a potential example for otheruniversities.IntroductionWe formed the student organization “Graduate Women in Engineering (GradWIE)” at PennState in 2022 as graduate students in the College of Engineering. GradWIE welcomes people ofall gender identities to support the personal and professional wellbeing of graduate studentsthrough peer support, the creation of safe spaces, social events, and diverse resources. We choseto focus on women because they are a minority within the College of Engineering at Penn State,as reflected in the enrollment numbers of women from 2017 to 2021 seen in Table