through research and find more feasible and Chinese-characteristic practicalimplementation plans, upgrading and restructuring teaching methods and ideologies.The research status of STEM education also reflects the level of importance thatcolleges and universities attach to it. According to the attention-based views[26],focusing research efforts on STEM education helps to allocate relevant resourcestowards STEM education. Given that the ultimate goal of STEM education is toenhance practical innovation ability, theoretically speaking, strengthening the researchof STEM education is beneficial for improving the performance of cultivatinginnovative talent in colleges and universities. Based on the above analysis, this paperputs forward the following
prior work done in measuring spatialvisualization skills, our work involves contributions concerning international engineeringeducation.We are embarking on this project to develop a test from scratch rather than using existingassessment tools. Before making our own, we want to learn from previous projects what doesand does not work in existing assessment tools with a critical lens. Often, the tests currently usedin literature and the subsequent course or curriculum appear to result in score gains of studentsafter the intervention [3]. We are questioning whether this could be a result of the test notaccurately capturing the spatial visualization skills initially, whether this reflects ceiling/flooreffect in statistical data analyses, or if gains
enjoyable as we were tasked with creating solutionsrather than answering test questions.Furthermore, the experience of our peers also reflected that the experiential learning model taughtthem more than just simple lectures would have. Our university has students rate courses using theTRACE (Teacher Rating and Course Evaluation) survey required at the end of each semester.Students can rate the course on a 5-point scale based on learning objectives and course-relatedquestions. After our Cornerstone class ended, we were able to see the anonymous results of theTRACE survey for our specific section. Figure 7. TRACE Evaluation (Learning Related Questions)As the data suggests, our peers agree that the out-of-class assignments
also covers the assessment of theimplementation of the whole curriculum and curriculum elements, which reflects thecharacteristics of the whole curriculum and comprehensiveness. The reliability andvalidity of the comprehensive questionnaire are improved by referring to theengineering ethics course evaluation questionnaire in existing studies, solicitingexperts' opinions many times, conducting multi-type pre-test, in-depth discussionfeedback, and scoring twice.The comprehensive questionnaire consists of three parts. The first part is aboutevaluating the course and students' learning experience, which includes not only thecognition and evaluation of the overall situation of the course but also students'recognition of the course and engineering
. Mueller-Alexander and H. J. Seaton, “Researching Native Americans: Tips on vocabulary, search strategies and internet resources.” Database, 17(2), 45, Apr. 1994.[2] A. Soto, A. B. H. Sanchez, J. M. Mueller-Alexander, and J. Martin. “Researching Native Americans: Reflections on Vocabulary, Search Strategies, and Technology.” Online Searcher, 45(5), 10–19, Sep./Oct. 2021.[3] D. Thomas, “Reflections on Inclusive Language and Indexing.” Key Words, 28(4), 14–18, Win. 2020.[4] D. Thomas, “Another Look in the Mirror: Correction to Reflections on Inclusive Language and Indexing.” Key Words, 29(2), 26, Sum. 2021.[5] S. Ullstrom, “Decolonizing the index.” Indexer, 34(3), 110–112, Sep. 2016, doi: 10.3828/indexer
dimension that can best reflect the quality of higherengineering education. It is an important bridge and link connecting external programaccreditation and internal quality improvement, and can be the core and focus of thequality improvement of higher engineering education. If there is no specialexplanation, the governance object of higher engineering education quality will bepositioned in the narrow sense of higher engineering education quality, that is, theengineering education quality at the program level.2.3 GovernanceThe broad concept of governance has always existed in history. For a long time, it hasbeen used interchangeably with the term “government”, which is mainly used in themanagement and political activities of public affairs related
design and implementation of learning objective-based grading for transparent and fair assessment; and the integration of reflection to develop self-directed learners. ©American Society for Engineering Education, 2023 Response Process Validity of the CBE Adaptability Instrument When Used With Engineering InstructorsI. IntroductionThere have been several calls of action to change undergraduate engineering education with onefocus being on the adoption of research-based instructional practices [1]. Adoption of research-based instructional practices have been shown to contribute to attracting and retainingundergraduate STEM students [2]. This is particularly important given that more than
]. Thoseinstitutions with larger endowments reflected higher performance and retention than thoseinstitutions allocating minimal resources. In addition, school size, climate, and collective efficacywere components reported in the literature which affected student success [32], [33]. Hoy andTarter reported higher achievement rates from institutions who significantly emphasized onacademics as well as faculty trust [34]. Less populated institutions reported higher achievementlevels and higher retention patterns [35], [36], [37], while it was observed that institutions withhigher standards of collective responsibility for learning experienced higher student performancerates. Coleman reported that more than 20% of student success is linked to the family
theiractual practice (psychomotor) or to speak up when they see unsafe behavior among their peers.In addition, a considerable number of responses did not demonstrate any understanding of safetyprocedure and practice among the students.Among the responses, a few responses were noteworthy as these responses demonstrated the twoextremes: lack of safety knowledge and resources available for safety, and proper understandingof safety and reporting needs. The comments were paraphrased below. • Comments reflecting safety incidents that were not reported to EH&S: o Students left a soldering iron on and unattended for an extended period. o Students were disassembling a large steel structure which was not properly supported
college selection and math and science achievement.Moreover, socioeconomic status influences access to resources and experiences. Thus, somefamilies and parents must be made aware of STEM career opportunities. With this knowledge,parents can guide their children to enter a specific field, particularly in technology-related areas(Scheitle & Ecklund, 2017; Yerdelen et al., 2016). Also, religion and spirituality can influence anindividual’s likelihood of entering a STEM field. Religious people are more likely to bediscouraged from entering STEM careers, particularly physics- and biology-related fields(Scheitel & Ecklund, 2017). The findings of Scheitel and Ecklund (2017) reflect that lower levelsof interest in science and higher rates of
. Since then, there have beennumerous adapted definitions proposed and used by various researchers and educators [1]. Thedefinition used in this paper was proposed by Bringle, et al. in 2006: Service learning is a credit-bearing educational experience in which students (a) participate in an organized service activity that meets identified community needs and (b) reflect on the service activity in such a way as to gain further understanding of course content, a broader appreciation of the discipline, and an enhanced sense of personal values and civic responsibilityThis definition of service learning works well for engineering classes because it explicitlydescribes the goal of students both identifying and working
refining during the later stages oftheir design processes. Meanwhile, professional participants often reflected on ways theynarrowed down their target context and target users and acknowledged settings in which theirsolutions should not be implemented. For example, one participant described: “There's such a vast diversity of context that patients receive care…it is an extremely complex and varying group…I mean there are lots of cases where [this product] either can't or shouldn't be used.”- Professional participant C4.2.2 Characterization of LMIC contexts Experienced designers acknowledged more nuance and differences across differentLMICs and within them than students. In general, student participants used terms like “low-resource
), an HSI in the State University of New York (SUNY) system. In year one, Cohort Apiloted the PD modules in Tier 1 which featured reflective exercises and small culturallyresponsive activities to try with their STEM students. In year two, Cohort A piloted the PDmodules in Tier 2 and peer-mentored Cohort B as they piloted optimizations introduced to Tier 1from Cohort A feedback. Three types of optimizations came from faculty feedback. The firstconsidered feedback regarding delivery and/or nature of the content that influenced a subsequentmodule. The second involved making changes to a particular module before it was delivered toanother faculty cohort. The third takes into account what worked and what didn’t to decidewhich content to bring into
the development of a Sense of belonging. Tinto [14] also comments that studentswith a strong Sense of belonging tend to persist because it boosts motivation and the willingnessto be involved with other people, further promoting persistence.Figure 2 presents the CLD built with the causal relationships described in the previousparagraphs. A higher sense of belonging in URM students increases their willingness to persistand complete a program, which in turn reflects on a larger number of URM graduate studentsand a diversification of the STEM field which in turn improves the Environment. A moreinclusive environment will impact positively the Sense of belonging. Figure 2. Causal Loop Diagram for hypothesis 2For the third
design to collect and analyzeboth quantitative and qualitative data from faculty and students. The recorded data included adiverse group of individuals, including females, males, and multiple races. The demographics arepresented in Figure 4. This research surveyed all Ph.D. students and faculty within the disciplineof WE working at the natural hazards engineering research infrastructure (NHERI) Wall of Wind(WOW) Experimental Facility. This facility, which is funded by the National ScienceFoundation (NSF), is one of the largest ABL wind tunnels worldwide and the only one that cansimulate hurricane wind speeds up to and including Category 5 Hurricane on the Saffir-Simpsonscale [33], [34]. Thus, rendering and reflecting the sample to be
given to assessstudent learning. Pre-module and post-module voluntary climate literacy surveys were conducted.The surveys had a good participation rate, and the preliminary results are presented in this paper.The surveys provided a general picture of civil engineering students’ perception/engagementwith climate change and identified areas needing to be strengthened in teaching and learning ofclimate change. Survey data, learning assessments, and teaching reflections will guide futureimprovements to integrating the topic of climate change into the university’s civil engineeringprogram, including other courses, such as Capstone senior design, in the curriculum.IntroductionAnthropogenic climate change is affecting the planet in an irreversible way
as a case study because our N is so small, so there’s no real noise that can happen within a case study. So I’m not as worried about that. My question that I keep coming back to is what is the added value of collecting data on the classroom observations? Are we actually going to analyze them? And if we do, what are we doing that for? I’d rather capture all of that in the interviews than I would in a classroom observation and just kind of take them for granted that it’s reflective of what they actually did.” Lucas: ”Yeah. And again... there’s plenty of time to do other classroom observations, presumably someday go back to bricks and mortar face-to-face delivery. That you know, even though the
teamwork. Smith and Imbrie [18]characterize effective teams and teamwork according to the following elements: positiveinterdependence (sharing a common objective), individual and group accountability(embracing responsibility for the work), encouraging interaction (interpersonal engagementleading to concrete action), teamwork skills (including effective communication, decisionmaking, leadership and conflict resolution), and group processing (reflection that recognisessuccesses and identifies areas for improvement). Conflict resolution also has an impact onincreasing student commitment towards the team, as they feel they are more validated byparticipating and their opinions are being taken into consideration [19]. Skills and structurestherefore have
self-efficacy with engineering students1 IntroductionIn this research paper, we re-evaluate structural aspects of validity for two instruments, the CurrentStatistics Self-Efficacy (CSSE) scale and the Statistical Reasoning Assessment (SRA) [1, 2]. The CSSE isa self-report measure of statistics self-efficacy while the SRA is a scored and criterion-based assessment ofstatistical reasoning skills and misconceptions. Both instruments were developed by statistics educationresearchers and have been consistently used to measure learning and interventions in collegiate statisticseducation. Our re-evaluation is part of a broader study of the effect of using a reflection-based homeworkgrading system in a biomedical engineering statistics course [3, 4
Paper ID #37492Before and After: Team Development in Virtual and In-Person Transfer Student Engineering Design TeamsNatalie C.t. Van Tyne (Associate Professor of Practice) Natalie Van Tyne is an Associate Professor of Practice in the Department of Engineering Education at Virginia Tech, having joined in 2015. Her research interests include guided practice in the use of reflection to improve student learning, the relationship between reflection and critical thinking, pedagogies for engineering ethics education, and guided practice in effective teamwork. She has a background in chemical engineering, environmental
forward?The protocol allowed for rich data collection through the pre-developed questions, but theinterviews were unstructured and included embedded opportunities to seek clarification andmeaning (Patton, 2015). All participants were given pseudonyms, and only de-identifiedparticipant interview transcripts were stored on a secured server accessible only to the researchteam.Reflexivity and Positionality. Throughout the study, the research team engaged in bothindividual and collective reflexivity (Patton, 2015) by reflecting upon, bracketing out, anddialoguing about experiences, values, and beliefs pertaining to the messages women receiveabout balancing career and family in and out of academia. In qualitative research, reflexivity is acrucial
% on-campus, 94% commuters• Online Course Enrollment: 15% fully online, 54% partially online, 31% no online enrollment• Birthplace: 59% US born, 41% immigrant or international students.As shown by the data the Admit Type indicates that about half of students transferred fromanother school, and 41% are immigrants or international students. These two indicators reflect areality within the classroom where there is a great difference in the background of the students,independently of gender or race. For many transferred students, statics represents one of thecourses taken during their very first term at Florida International University, many of them comeafter a gap time and their base knowledge is not as solid as is needed for this class
motivation which has generally beenlower during the pandemic. The activities provide students with opportunities to engage with andfind enjoyment in their learning despite the lack of interaction that comes with studyingremotely.Though many studies describe the benefits of flipped learning and its suited application duringCovid-19, there are few that document the continual evolution of a flipped classroom as it isbeing delivered. Starting fully online in the Fall 2020 term and transitioning to a hybrid term inFall 2021, this paper discusses the process behind the development of a first-year engineeringSolid Mechanics I course. Changes between both years reflected the feedback collected fromstudents in an end-of-term survey where they were free to
of Black womxn’s intersecting oppressions ofrace, class, gender, sexuality, and more shape our experiences and how these experiences shapeconsciousness as Black womxn. Exploring it in the research design, I use the notion of Blackfeminist standpoint epistemology and everyday knowledge [29], [30] as centering Blackwomxn’s ways of knowing within their engineering doctoral programs and how theyconceptualize, experience, and reflect on the construct, spirit-murdering. The research designaligns with the tenets of Black feminist thought demonstrated through the Black womxn chosento focus on, the ways of knowing chosen to center, the critical methods chosen to employ, andthe purpose of social justice chosen to pursue. In alignment with this theory
: Takeaways from Saint Louis University’s Aerospace Engineering Capstone ExperienceAbstractAerospace engineering requires a broad foundation of skills students are to develop throughouttheir educational careers. Beyond the physics and mathematics fundamentals, it can be beneficialfor students to explore more specialized topics or platforms that interest them. For some studentsat Saint Louis University, this specialization can appear as late as their final capstone projectswhere they are to design (and in some cases, build) a system such as an aircraft, rocket, orspacecraft. This paper offers a reflection from alumni of an aerospace engineering undergraduateprogram on the impacts of the required course track (fundamentals) for
. Students who had elected to major in Aerospace, Civil, Industrial, or Mechanical Proceedings of the 2005 ASEE Gulf-Southwest Annual Conference Texas A&M University-Corpus Christi Copyright © 2005, American Society for Engineering EducationEngineering were assigned to Track A. Students who had elected to major in Computer orElectrical Engineering were assigned to Track B. Students who had elected to major inBiomedical, Chemical, or Petroleum Engineering were assigned to Track C. Content of the twofirst-year engineering courses in each track was modified to reflect the goals of faculty membersin departments associated with each track. However, if students change majors
Spring and Fall 2022 data followed asimilar trend to the Fall 2021 data in several ways: there were marked similarities in the most-used emotions, the overall breakdown of pathway directions, and even the patterns in the finaltwo words (with accomplishment to satisfaction being the most common pairing). This reflects asimilar pattern as Goldin’s idealized positive pathway where elation leads to satisfaction,although students completing our survey were hesitant to describe their positive emotions withelation, tending instead towards accomplishment, confidence, etc.The least commonly used words in Spring 2022 were elation, despair, and fear; all three of thesewords were new in the Spring 2022 version of the survey, which suggests that their
experience and understanding of the techniques. Students wereasked to submit the task distribution and responsibilities to the instructor prior to each O-Edesign lab activity. This project is reflective of the adopted instructor-structured cooperativelearning strategies that include assigning roles to members of each group, rotating rolesperiodically, allowing team member’s rate each other’s contributions and group accountability.On the team reports, students were instructed to outline the steps taken to arrive at solutions,potential alternatives, and limitations, much like a standard Senior Project design. In addition to team lab reports, team presentations were also part of their learningactivities, and they were asked to include the
(Comprehensive Assessment of Team Member Effectiveness) software. 27 Groups are built byteaming students based on both scheduling and work/learning style preferences. After finishingthe series of sandbox-related activities for introducing the EM competency techniques presentedin this paper, students complete both reflective and peer evaluations using CATME. This isfollowed by a SWOT analysis that is first performed individually and then discussed collectively.This analysis allows the team to collectively examine their strengths and weaknesses, evaluatingthe extent to which they work well together as a team. An updated SWOT Report documentingthese discussions is then submitted to the instructor for review and possible intervention ifwarranted. These
hands-on way, such as data analysis exercises, lab assignments, and group best through direct experience and by actively projects.(a). Emphasize hands-on, processing and reflecting on new information. • Use interactive tools and technologies, such as Jupyter notebooks, to facilitate interactive learning experiential learning. • Encourage students to ask questions and engage in discussions during class to promote active processing and reflection on