own words.This instrument was developed to measure indicators of impact on the SCCT constructs ofoutcome expectations and self-efficacy. Figure 2: Outcomes and Subscales of the Pre/Post Test. Note: * indicates significant differences favoring Academy Cadets.To supplement the pre/post assessment we collected qualitative data through interviews andstudent reflection journals. At the end of each day of the Academy, students were givenreflection prompts about the day’s activities. Students kept an electronic journal which captureda record of all their responses to each prompt. These journals were analyzed and comparedagainst the findings from the pre/post survey to better understand student attitudes towardSTEM, big ideas students took
Fall 2020 semester, were evaluated alone. There was no “stronglydisagree” in the 3rd Yr. MFG CRSE response and an increase in the “Agree” response. The modeand median in this group alone were 2 and 3 respectively. These findings may indicate that theCOVID-19 requirements do pose a concern for those trying to pursue academic requirements. Thispoint would have to be further investigated with a follow up study. Representative comments fromthis group also reflect the results of the compiled surveys (Table 6). Comments reflect thatrespondents recognize the importance of the protocol for safety, but it does affect their NJITMakerspace usage time. In addition, PPE such as the gloves presented a concern in practice. Thiswould need to be further
other essential topics with which students often struggle. Suchinteractions among students and peer mentors aid in improving student attitudes and their senseof belonging at the institution.Having Dr. Brooks attend the statics class as a student caused a great deal of reflection on Dr.McDonald’s part. It quickly became clear that many mathematical processes were only lightlytouched upon, in favor of dwelling on ‘this is how you work the problem’ discussions. Having amathematician in the audience makes one pay attention to how mathematics is presented andapplied. Engineers often take mathematical shortcuts without providing much in the way ofexplanation; this was quickly pointed out!One of the first opportunities that engineering students have
with COVID by setting up a designated study area that is only mine.” • “Adaptability, one of my strengths, has allowed me to accept the situation and work with what has happened.” • “I have adapted and modified my life to use connectedness in new ways. I am able to talk and reach out to others by other means rather than face to face during these times by the use of technology such as zoom.”Ongoing Research: Strengths, Social Identity, and Social NetworksSurveys and interviews by the external evaluator have not explicitly asked students to reflect onthe “strengths from a social justice perspective in engineering and computer science as context”model of mentoring and advising – instead, the evaluator has focused, to date
Bennett, New York Hall of Science Ms. Bennett currently serves as Director of Creative Pedagogy at the New York Hall of Science, respon- sible for developing and implementing new initiatives that reflect NYSCI’s core pedagogical approach known as DESIGN, MAKE, PLAY —a child-centered approach to STEM learning that inspires curiosity and playful exploration, builds confidence with new skills and tools, and fosters creative problem solving and divergent thinking. Drawing on 30 years of experience in informal and formal education, she helps translate this approach into practice by creating professional development experiences for our young mu- seum facilitators and K-12 educators, developing apps to stimulate STEM
themselves with thehands-on lab in aerospace structural mechanics. Subsequently, we learned that Virtual Labs alsoallowed students to collect virtual data that prompted students to further reflect during the dataanalysis process in addition to the data obtained during the hands-on labs. Thus, the courseprovided students with both virtual and hands-on experiences to enhance their understanding ofthe subject matter. At the same time, the course promoted the learning of data analysis,modeling, equipment usage, error analysis, teamwork, and communication by engaging thestudents in both the virtual and hands-on labs. In Spring 2020, we experienced an extraordinaryevent: the school closures and remote learning caused by the COVID-19 pandemic. During
Fall 2018 visitedthe same Duke Energy hydroelectric generation facility mentioned above, and received a powerplant tour from one of their engineers. During the Spring 2020 semester, students visited andtoured the Eaton corporation facility located in Arden, NC. A project personnel chaperoned thescholarship recipients during this trip.For all field trips, NRC scholars were asked to write reports highlighting their technicalobservations. The following is a reflection excerpt by one scholar after the tour of Oconeenuclear station: “The immense size and convolution of the operation of the plant is astounding. There is a certain pressure felt while standing in the control center. It is seemingly my own experience that tells me I
accomplish no matter where the students were learning. Teams made short videos describing their design and capturing five consecutive launches, including distance measurements. Videos were uploaded to VoiceThread so students could watch and learn from each other’s designs. Teams worked in two phases: an initial design and a re-design, in order to reflect the iterative nature of engineering. 2. Propose ten redesign ideas of a simple device: This project offered teams the opportunity to practice the ideation process and to demonstrate the fact that multiple solutions can exist for open-ended problems. 3. Design a pandemic tool: Now that students felt comfortable working remotely and have gotten to
construction, as this distinguishes ex-perts and novices. According to cognitive load theory (CLT), for learning to occur, workingmemory needs to accommodate the additive needs of intrinsic, extraneous, and germane cogni-tive loads [9]. From this perspective, interactive exercises empower the user to optimize theirown learning through the ability to decrease intrinsic cognitive load of the problem, allowingidentification of what they know and what they don’t, as well as provide opportunity for meta-cognitive reflection – all of which has been shown to increase development of more complexknowledge [10]. When done properly, educational technologies and e-learning environments cangreatly optimize the elements of CLT for effective learning [11
programs.Limitations and Future Research The findings of this study are compelling, but are limited in their scope. The number ofparticipants recruited for the current study was appropriate for a qualitative study [18], but therewere much fewer women than men and much fewer students attending the HBCU than the PWI.These numbers reflect the larger population of males and students attending the PWI; however,the lack of female students and students attending the HBCU may suggest differences in theirexperiences that are an artifact of this study rather than a reflection of Latinx students’ livedexperiences. In addition to the differences in gender and institution participation, there were alsodisparities in representation across race and national origin
contrasted againstwith the varying technological abilities of the older generations. With academic successdependent on the instruction of the generations before Generation Z, the need for clear,consistent, well delivered eLearning services becomes very significant.Limitation. It is worth noting that this study has some limitations. All of the participants are allISE students at University of Florida located in Gainesville, FL. This creates several limitationsfor this study. First, the age range is limited to the older population within Generation Z. Forthis reason, the results of this study are only a reflection of the user acceptance of this age range.Second, all participants are learning in the state of Florida the region could impact a
intervieweessaid “Be patient.” Understanding that students personal lives and home situation impact theirability to perform academically is probably the first step. Then, implementing policies andpractices in the course that reflects this understanding would be an obvious next step. This maymean providing more flexibility when it comes to deadlines, allowing and responding to studentcommunication regarding a need for accommodations – temporary or permanent (through thefull term of the course), and rethinking assessment practices.Racial Injustice. We found that racial injustice impacted the experiences of Learning Assistantsand the students they supported. The crisis of continued racialized violence against Black peoplehas an impact on students. Following
trait modeling, so as to provide feedback and reinforcement of both positive and negative traits.DiscussionStudents who participated in the fall 2019 and spring 2020 weekly teleconferences with theirproject advisors had mixed reactions to the VMC mode. Initially, they felt it was extra time toassemble the team and meet after classes were complete for the day. As a residence-onlyinstitution, none had to commute, but they valued their out-of-class time. This sentiment passedrather quickly as team members realized some of the benefits of having the team meet frequentlywith the advisor who recording the meeting. This historical collection of meetings helped to keepall team members accountable—especially when the weekly agenda reflected tasks
] investigated the relationship between learning settings (classroom,laboratory/home) and instructional use of the Analog Discovery Board on potential studentoutcomes. Their study noted that faculty and students benefited from the use of the AD Boardsand there were increases in constructs reflecting required affective pre-requisites to learning,including interest in content, motivation to learn, and confidence in ability to learn.Fowler and Schmalzel [8] stressed the importance of measurements in the STEM field asmeasurements are precursor to control, management, and improvement of engineering systems.They also noted that instrumentation is needed to perform the measurements. Hence, for effectiveinstrumentation, sensors must reliably and accurately
of students Statics 3 FA19−FA20 105 105 50 8 268 Dynamics 8 SP17−FA20 127 207 142 38 514 Deformable Solids 8 SP17−FA20 154 240 155 47 596The population data is broken down by the final grade received in the course to allow us to show how thecourse grade reflects on mastery. Note that during a semester the students are given feedback based onhow they are progressing in their mastery of each objective, never a letter grade. This mastery-gradingapproach is cumulative throughout an entire semester which often takes students until
known as antenna ranges.many of the same students will soon be relied upon to design much more complex systems andtheir components.2. BackgroundProject-based / Problem-based learning (PBL) has been increasingly prevalent throughoutengineering curricula. Pedagogically, both approaches are similar: students work collaborativelyto address complex, ill-structured problems which reflect problems encountered in real lifewithin engineering. In this pedagogical approach, students engage in self-directed learning togather relevant knowledge and identify knowledge gaps; instructors serve as coaches to helpstudents identify necessary information to solve these problems. Problems are framed to fosterskills in knowledge acquisition and problem solving, as
of academic careers for fellows across theintersectional identities of race/ethnicity, gender, first-generation status, personal experience as acommunity college student, and Pell Grant status as an undergraduate. Given the need forcommunity colleges to hire faculty in STEM fields that are reflective of their racially and ethnicallydiverse student population, the research findings will serve to offer recommendations for futurework that is geared towards effectively preparing Hispanic STEM doctoral students to consideracademic careers at teaching-intensive institutions such as community colleges.To achieve the above-referenced goals in this grant, three research tasks are being pursued. Theprimary, and most labor intensive, is conducting semi
, similar to Martin and Garza [39]. This approach allows us to centerKayla’s experiences, and dismantle the “researcher-participant hierarchy” [37, p.1]. As Kaylajourneyed through her undergraduate career, she journaled her experiences in a shared document.Gretchen went through the entries probing for deeper reflections, finding underlying themes, andraising new questions. Over the course of a year, Kayla and Gretchen met bi-weekly to go overKayla’s experiences and discuss things such as the impact of gender, impacts on her engineeringexperience, interactions with classmates, and interactions within work settings.Specific to this paper, we focused on Kayla’s experiences with her internship over the summer of2020. Kayla journaled her experiences and
first-year studentswho were interested in pursuing mechanical engineering at a research-intensive university inNorth America. The participants are a subset of a sample from our team’s ongoing multi-methods study, which focuses on the curricular messaging about the nature of engineering workin core courses in two disciplines and how these curricular messages align with students’ ownengineering interests and career ambitions. The three interviews were chosen from the larger dataset to reflect a diversity of practices emphasized.The participants included in the present study varied in their interests, pre-college experiences,and self described social identities. Participant 1 identified as a South Asian woman; Participant2 self-identified as a
. Figure 1. Flow Diagram for Study SelectionWhat types of assets do students bring into engineering programs? What are implications ofasset-based approaches to engineering, engineering design process, and design pedagogy?Different student groups hold different assets in the form of cultural wealth and/or funds ofknowledge. Here, we summarize (see Table 1) assets by student subpopulations and theirimplications to engineering and engineering design education. Neither the student subgroups northeir corresponding assets and asset categories are meant to be exhaustive in nature. Thesummary in Table 1 reflects evidence found in the literature and are only meant to be illustrativeand of practical value to engineering educators.Table 1. Summary of assets
learned certain tools, or whichtools they had used prior to this semester and their college entry. Given the time between whentools were used and when students completed the surveys in question, their answers may nothave perfectly reflected their experiences. This difficulty in recalling the timeline of tool usageand when tools were learned is compounded particularly with simple tools and features of themakerspace, such as hand tools, whiteboards, or even a desk. Given that such tools and featureshave particularly interesting ramifications for makerspaces efficacy and their outcomes, theinformation lost from this could be considerable.While the information gathered does not perfectly capture how makerspaces are being used andthe motivations
the project, and to obtain more technical conclusions. Also, the theory ofmatrix analysis will be implemented in courses of structural analysis including more applicationof advanced software.The surveys about team working shows that the students expressed interest in the topics, mainlybecause of the practical applications and importance for society. Also, students show highperformance working in teams, which is reflected in the quality and timing to complete thecapstone projects. The capstone related with the coliseum was done during the Covid-19pandemic and students used different online tools to permit a successful coordination of theirtasks, which also reflected their high team working skills.This type of project permitted the application
" ) OR LIMIT-TO ( EXACTSRCTITLE , "ASEE Annual Conference Proceedings" ) )Next, we perform co-occurrence analysis [5]–[7] to classify and map co-occurred words andphrases among the collected papers related to PBL and VR to describe research trends. Figure 3presents an illustrative example of co-occurrence analysis with three hypothetical documents(Doc 1-3) and the resulting map/network of keywords/phrases (denoted by A, B, C, E, R, W, X). (a) The three documents and their keywords used in the example of co-occurrence analysis. The size of nodes and length of links reflect the number of co-occurrences
‘second’ industrial revolution, includingelectrical engineering [2], mechanical engineering [3], and chemical engineering [4]. In theUnited States, civil engineering’s professional society was formed in 1852, followed by miningand metallurgical engineering in 1871, mechanical engineering in 1880, electrical engineering in1884, and chemical engineering in 1908. Although professional societies can also be used to datethe official establishment of a discipline, they do not completely reflect the status of thatdiscipline’s educational standards and curricula. As the education of engineers began to shifttowards science-based education and away from vocationally-based education as a result ofWorld War II, a more diverse set of engineering disciplines
the HODA and practice the systems tools they learn from CST course byexplaining their experience and observations. The original debriefing has four steps [10]: “tellthe story; graph the variables; make the system visible; and identify the lessons” (pp.7-9). Anadditional step, which is to explore the connection between the HODA and the aviation industry,is included in the CST course by the instructor. In the CST course, the debriefing includes in-class debriefing and an after-class full report.In-class debriefingThe in-class debriefing led by the team leaders is conducted immediately after the HODA. Theleaders guide students to discuss their observations and reflections on the system structureexisting in the HODA using a series of steps.Step 1
Instruction using revised Bloom Taxonomy References[1] L. W. Anderson, and B. S. Bloom. “A taxonomy for learning, teaching, and assessing: A revision of Bloom's taxonomy of educational objectives.” Longman, 2001.[2] American Society of Civil Engineers. "Civil engineering body of knowledge for the 21st century: Preparing the civil engineer for the future." [Online] American Society of Civil Engineers, 2019.[3] K. Whalen, “The Reflective Learning Framework: A guide for students and educators.” (2018). [Online] https://asp.mcmaster.ca/wp-content/uploads/2018/10/The-Reflective- Learning-Framework-08.2018.pdf[4] S. Buckles, Stephen, and J. J. Siegfried. "Using multiple-choice questions
expertise of the team. Coordinated iterative cycles of reflection and action were usedfor instrument development [30-31]. The instrument currently has seven baseline categories thatcould be applied to all ERC population groups and will be used to conduct cross-ERCcomparisons. Table 1 documents the baseline categories (excluding demographics):understanding of the ERC, impact on skills, culture of inclusion, mentorship experience, futureplans, and program satisfaction. These six categories were extracted from the NSF ERC BestPractices Manual [3] and ERC program solicitation [32] as cross-cutting categories that NSFrecommends evaluating to monitor ERC progress and impact around workforce development andculture of inclusion initiatives. Comparisons
pedagogicalresearch because they quantitatively and non-invasively reflect brain activity. However,commercially available EEG devices are often either prohibitively expensive, or do not offerthe correct capabilities such as enough electrodes. This work-in-progress study aims toaddress this gap through the design of a low-cost, easy-to-use, and effective EEG headset forengineering educational research studies. The current study includes a relatively small sample size (N=6); however, it doesidentify some preliminary trends. For example, although most participants found the authors’current design to be more comfortable than commercially available designs, the design alsohad a much larger range of reported comfort levels. Additionally, no distinct
acoustic reverberation times of a room intwo states: either relatively empty or with added materials to absorb sound. The reverb time wascalculated using both the full bandwidth recorded signal and a filtered signal using the standard250 Hz octave band. The learning objectives were to: 1) Read and apply key, excerpted aspectsof a test standard (in this case, ISO 3382-2 [12]); 2) Adapt a test standard to an at-homeenvironment and identify key differences with the test standard; 3) Record acoustic data andperform simple processing using MATLAB to calculate the reverberation time of a room; 4)Design a digital bandpass filter to filter data into the 250 Hz acoustic octave band [13]; 5)Generate conclusions on the acoustic absorptivity and reflectivity
. After the first read-through, we assigned one or more codes to specific lines of text in the transcripts andsupplemented the codes with comments. The comments included further detail explaining whythe codes were used, the feelings of the coder at the time of coding, or possible links to previousliterature or concepts. This thematic analysis led to the four emergent themes based on the datafrom the six interviews. These four themes reflected trends in the experiences of these women.The codes “Confidence/Pride and Empowerment” and “Moment of Pride” were present in theoriginal codebook, but their definitions leaned toward circumstances that did not match thesenew code definitions. Instead, lack of confidence or valuing one’s own achievement