Paper ID #38445Student Metacognitive Reflection on a Conceptual Statics QuestionDr. Lorena S. Grundy, Tufts University Lorena received her BSE from Princeton in 2017 and PhD from UC Berkeley in 2022, both in Chem- ical Engineering. She is currently an ASEE eFellows postdoctoral fellow at Tufts University, working with Professor Milo Koretsky. Her research interests are in systemic change in engineering education, particularly as pertains to assessment of teaching.Dr. Milo Koretsky, Tufts University Milo Koretsky is the McDonnell Family Bridge Professor in the Department of Chemical and Biological Engineering and in the
Paper ID #39066Evaluating the quality of interviews with a process-based,self-reflective toolDr. Amy L. Brooks, Oregon State University Dr. Amy Brooks is a Postdoctoral Scholar at the Oregon State University School of Civil and Construction Engineering and member of the Beyond Professional Identity lab at Harding University. Her current research is using interpretative phenomenological analysis to understand well-being and experiences with professional shame among engineering faculty. She is also part of a research team investigating context- specific affordances and barriers faculty face when adopting evidence-based
Paper ID #36856From Engineering Students to Student Engineers: Reflections, Identity,and Positioning in Co-curricular ActivitiesDr. Zhiyi Liu, University at Buffalo Zhiyi Liu is a researcher and educator with research interests in learning and instruction. Dr. Liu was a postdoctoral associate in the Department of Engineering Education at the State University of New York at Buffalo.Dr. Andrew Olewnik, University at Buffalo, The State University of New York Andrew Olewnik is an Assistant Professor in the Department of Engineering Education at the Univer- sity at Buffalo. His research includes undergraduate engineering
Paper ID #38700Studying the Development of Design Thinking of Undergraduate Engineer-ingStudents in Singapore: Qualitative Reflection Analysis (Research)Dr. Eileen Fong, Nanyang Technological University Eileen Fong, PhD, is a Senior Lecturer at School of Materials Science and Engineering (MSE) at Nanyang Technological University (NTU) in Singapore. She is also currently the Associate Chair (Students) at MSE, responsible for student matters and admissions. She teaches third-year MSE undergraduates, and have received several teaching awards including the prestigious Nanyang Education Award for School (2019) and College (2021
. Thisfull paper explores the impact of self-paced and online Portable intercultural modules (PIMs) onthe intercultural learning goals of the students enrolled in a junior-level system thinking course.The PIM used in the class aims to improve learners’ teamwork and communication skills. ThePIM contains five activities, including watching videos about cultural diversity and empathy,survey, quizzes, and exercise that applies learning towards intercultural collaboration. The studentsin the system thinking course were asked to complete the PIM and a reflection assignment. Theresearch questions that we intend to answer for this study are: RQ1: What domains of interculturalcompetence, as defined by the AAC&U IKC Value rubric, are represented through
, dimensionality reduction, andnatural language processing. We apply this methodology to publicly available newsgroupdata which is pre-labeled by topic to demonstrate that MDM distribution may be used toextract a visual dichotomy in the text structure belonging to different topics. In otherwords, text data pertaining to a specific topic have similar MDM distributioncharacteristics. In the future we will apply this methodology to labeled reflections authoredby n students in an Engineering mechanics classroom that is infused with activities thatinvolve an Entrepreneurial mindset (EM) to identify if MDM distribution and clusteringindicates the presence of EM.Future work will also include exploring the confluence of MDM and rhetorical moves, sincewe believe
,unguided reflections on their performance, level of knowledge, skill, and understanding toimprove the effectiveness and quality of their learning. However, little is known about howstudents' reflections, motivation and self-directed learning are related within engineering context.In this study, data from the students' responses to surveys were analyzed to determine theassociation among the variables of interest. The calculated Pearson correlation coefficient fromthe data shows that self-assessment components of self-reflection, positive perception of self-assessment, and intrinsic motivation have strong significant correlations. Both motivationvariables of task value and control belief have a medium to high correlation with the self-assessment
self-regulatedlearning skills.Purpose: The study was designed to gather insights into the students’ experience with theresearch course and understand what self-regulated learning skills they developed as part of thislearning experience. Specifically, the study examines “What are students' perceptions of the roleof self-regulated learning and project management skills in the context of their researchproject?”Methods: The study was conducted in a senior-level undergraduate course offered at a large mid-western university. The course focused on project management, research skills, and mentorshipin the context of a research project. Data were collected through guided student reflections at theend of the semester and analyzed thematically according
paper shares the methodology and findings of a workshop onconflict management that was piloted in three interdisciplinary engineering design courses thatinclude first through fourth-year students. The workshop was designed to collect real-timestudent reflection data through Mentimeter, an instructional technology designed to promoteclass engagement.Background: Emerging literature from Industrial and Organizational (I/O) Psychology hashighlighted the importance of effective conflict management on team performance. Teachingstudents how to effectively manage conflict and establish inclusive, psychologically safe teamenvironments are essential skills for effectively working on teams in preparation for theworkplace, as emphasized by ABET and
trainingsessions for writing center consultants. The quantitative assessment investigated (1) students’confidence in their writing skills from self-efficacy surveys gathered pre- and post- the modifiedassignment and (2) draft and revised writing samples from the intervention class and a control.For the quantitative analysis, we used paired t-tests to compare the pre- and post-self-efficacysurveys, and MANCOVA to compare the draft and final writing sample scores. The qualitativeassessment drew from students’ views on the intervention and course from reflection essays,analyzed for themes. Results for the intervention showed significantly improved self-efficacyscores in assignment content, as well as in higher and lower order writing skills. Assessedwriting
self-assessment of whether or notthey are confident in their ability to write and debug simple programs” [p. 125]. Self-concept is“a composite of self-perceptions that one can be a good programmer, which is formed throughexperience with and interpretations of one’s environment” [p. 125]. Interest is “the extent towhich an individual enjoys engaging with programming-related activities”[p. 124]. Anxiety isthe “self-reflected state of experiencing negative emotions, such as nervousness or helplessnesswhile writing and debugging programs” [p. 125]. The programming aptitude mindset represents“the strength of a learners’ belief in the notion of a fixed programming aptitude (e.g., aptitude isinherent and cannot change)” [p. 125].The implications of
. Establishing an environment of trust (362) 2. Creating an empowering space (362-363) 3. Setting a Clear Focus (363) 4. Creating an open space (363) 5. Encouraging Collaboration (363)These five values reflect our objectives in integrating a community mapping and participatorydesign methodology into our project. We assumed that our student participants (like the youthAmsden and VanWynsberghe engaged with) were seldom invited to shape the design ofprograms or engage in bottom-up critique. We created an iconographic mapping in lieu of acommunity map as an invitation to discuss/critique the whole gamut of places and people thatcomprised their experiences in the [engineering school].The iconographic map (see Figure 1) functioned much like a
to metacognitive learningengagements. In the process of self-assessing, students activate self-regulatory functions thatenable students to take ownership of their own learning. Self-assessment activities includestudents reflecting on, evaluating, and monitoring their own learning performances. Studentswho self-assess are better able to identify areas they need to improve upon, and to determine themost appropriate courses of action to achieve academic success. However, little is known aboutthe congruence in students’ perception of self-assessment and instructor's intent in requiring self-assessments. Hence, the purpose of this study is to explore the perceptions of engineeringstudents who participated in self-assessment in an engineering
unpredictable futures as professionals and citizens. By expandingthe capacity to study engineering practice through students serving as participant observers, wepropose that academia can learn more about the engineering workplace while students gain atruer understanding of engineering work. At the same time, reflectively engaging with practicemay help students develop new professional competencies, while potentially also identifyingmisalignments between their own identities and goals, on one hand, and current educational andworkplace realities, on the other. This paper will likely be of interest to researchers who studyengineering practice, and especially those concerned with the full range of practical andmethodological challenges associated with
diversity of the MHCC Head Start community, andensuring that the research was feasible for families. Data collection spanned approximately 1year and included in-depth qualitative interviews via phone or video before, in the middle, and atthe end of the program and during the fall of the child’s kindergarten year. Data collection alsoincluded observations of all program events, tracking of program participation, anddocumentation of other program artifacts, such as pictures, reflections, family communication,and meeting notes. Each case study family was assigned a research liaison that maintainedongoing contact with the family and spoke either Spanish or English, based on the family’spreference. All data were collected and analyzed in the preferred
. The interviewer asked open-endedfollow-up questions to prompt participants to reflect on these emotions, repeating this process forall eight contexts.We conducted and recorded hour-long interviews with 20 undergraduate students described inTable 1. We transcribed excerpts of interview recordings of four contexts: doing a problem setfor Mechanics 1 alone, doing a problem set for Mechanics 1 with friends, making something in amakerspace for yourself, and making something in a makerspace for Electronics 1. The firstauthor conducted line-by-line open coding [11] of three interview transcripts from a second-,third-, and fourth-year participant each, from which themes of emotional configurationsdeveloped organically. She shared the coded
that do not directly reflect our espoused beliefs [14]. We can,however, better predict our future behaviors by engaging in self-reflection related to our previousbehaviors, thus helping to build awareness for future judgements [15]. Due to the inherentcomplexity associated with judgements in a process safety setting, a lack of awareness maycause engineering practitioners to behave outside of their typical set of beliefs, sometimesresulting in poor or uninformed judgements.We are studying chemical engineering students to understand how their beliefs and behaviorscompare in the context of process safety judgements and how they react to any differences sothat we can prepare students to acknowledge the inherent complexity of how they
Paper ID #37979Understanding Expert Perceptions of PBL Integration in IntroductoryAerospace Engineering Courses: Thematic Analysis of Focus Groups withPBL and Aerospace Engineering InstructorsDr. Andrew Olewnik, University at Buffalo, The State University of New York Andrew Olewnik is an Assistant Professor in the Department of Engineering Education at the Univer- sity at Buffalo. His research includes undergraduate engineering education with focus on engineering design, problem-based learning, co-curricular involvement and its impact on professional formation, and the role of reflection practices in supporting engineering
inengineering education. We sought to identify how exemplar engineering students describe familypatterns that influence their engineering success. Career genogram construction and semi-structured interviews reflected intergenerational family patterns that contributed to the success ofthree exemplar senior students in engineering. Case-studies were selected using ExemplarMethodology (ExM). Data was collected on familial career exposure and attitudes, resulting inthe development of genograms. Findings reflect supportive communication, encouraged help-seeking, and reliable support were normed in each family system. Observing family memberswith engineering experience, engaging in pre-college STEM-related activities, and familyattitudes about the value of
course and an undergraduate science course. Participants describedtheir values and motivations in relation to their learning though stories about specific aspects ofthe course curriculum. An empathy map, a design thinking tool, was used by investigators toanalyze each interview, identifying needs and insights about students’ engagement in eachcourse. Based on this initial understanding of student learning challenges, researchers generatedideas to improve learning. Participants were then invited to join small focus group discussions toshare their feedback and contribute their own ideas on the reimagined learning experience.From researchers’ reflections and collaborative discussions, three themes emerged in relation tofundamental learning problems
scores for all eight items were averaged to calculate the mean self-efficacystrength scores. Lower scores were indicative of weaker self-efficacy percepts, while higherscores were indicative of stronger self-efficacy percepts. The computed Cronbach’s α was.89, reflecting adequate internal consistency.Outcome Expectation (OE). Ten measures were used to determine participants’ OE, inspiredby Lent et al. (2003). Participants were required to answer their level of understanding withstatements that contained positive outcomes resulting from obtaining a Bachelor of Sciencedegree in engineering (e.g., “graduating with a BS degree in engineering will likely allow meto earn an attractive salary”). Their answers were ranked from 1 (strongly disagree) to 5
to provide diverse perspectives on pressing topicswithin academic and non-academic communities. Individuals participating in panels are usuallybrought together to express a wide range of viewpoints and to combine ideas, research, andexperiences. We see an opportunity to extend panel discussions to have enduring impact bybroadly distributing the data synthesized during the panel discussions. The use of paneldiscussions as a research endeavor has the potential to broaden researchers' ways of knowing, yetknowledge transfer from panel conversations to peer-reviewed publications has to this point beenminimal.This paper highlights a methodology for analyzing panel discussions, discourse content, andpanelist reflection to produce research results
these environments. However,whether LGBTQ students experience self-concept or social fit may determine avoidancebehaviors that may ultimately lead them to abandon a STEM major and their STEM career goals.The disclosure of LGBTQ identity to others then reflects both higher self-concept fit and socialfit in that LGBTQ students can be their “true selves” in STEM environments and have theirLGBTQ identities validated by their peers. The decision to compartmentalize LGBTQ identitieswithin STEM environments reflects social identity threat posed by a lack of self-concept and/orsocial fit. Given what prior research has indicated about the LGBTQ climate in STEM, then,these environments would be expected to pose more social identity threat than many
, e.g., course department, as confounders for model to remove. Using this method,for the difficult dimension, the model learns to identify words that are more correlated withhigher difficulty ratings but not correlated with quality ratings.From these word lists, two of the authors manually annotated the words that were valid membersof the different dimensions based on fixed criteria. For example, the word “helping” would countas helpful but not clear because helpful words should reflect positive social behavior while clearwords indicate effective communication. Next, we adapt these lists to the original CCE dataset bycomputing the nearest neighbors to the words in each dimension, using word embeddings trainedon the CCE text data [22]. Computing
and assessed in different contexts.More specifically, Chinese immigrant STEM workers comprise a high percentage of all foreign-born workers in the U.S. Therefore, comparing the Chinese and American teamwork assessmentsystems can be conducive to constructing a generalizable understanding of teamwork assessmentin cross-cultural contexts [11].In addition, much literature discusses how to develop and assess teamwork. For example,portfolios, reflections, observations, tests, rubrics, and questionnaires are common teamworkassessment methods. However, less literature outlines how teamwork in engineering educationmight be implemented in different cultural contexts. We must fill this gap because abundantliterature already points to the importance and
slowlyincreased (Cunninghame et al., 2016), this group still remains largely underrepresented in STEMdisciplines (Moon et al., 2012). This discrepancy in representation reflects larger issues ofmarginalization in STEM fields and higher education at large. Current support structures fordisabled people remain ineffective, as accessing necessary resources requires navigatingphysical, cultural, and bureaucratic barriers (Groen-McCall et al., 2018). These barriers onlycontinue to widen for disabled students planning to pursue engineering careers (Prema & Dhand,2019), as seen in the high unemployment rate for disabled scientists and engineers, which isgreater than that of the entire U.S. labor force (Lee, 2010; NSF, 2017). Yet, disability is rarelyincluded
from a Critical Feminist lens. Kinzie[1] reflected on their personally discouraging experience with science in college and theorized tounderstand inequities in women’s participation with four pathways: ‘nevers,’ ‘departers,’‘joiners,’ and ‘persisters.’ [13] examined STEM mentoring programs in their meta-analysis usinga Critical Feminist approach. Gender, oppression/patriarchy, challenges within institutions, andsystemic challenges were identified as obstacles for girls and women in STEM and the authorscritiqued STEM mentoring programs failed to address concerns for individuals who do not fitinto the binary gender category and the intersectional oppressions. There are many cases wherethe authors apply a Critical Feminist lens without explicitly
contributing to the team’s work, keeping the team on track, expecting quality,having relevant knowledge and skills, and interacting with teammates. The survey questionsrooted in conflict research (Gonzalez & Hernández, 2014, and Harrison & Klein, 2007) wereused to probe three types of conflicts: task, process, and relationship. We used the termsdisagreement and conflict interchangeably in this paper.The survey also collected demographic data. The sample demographics reflected the gender andracial distribution of the engineering student population at our institution, of which 13% werefemale, one third identified as Hispanic, one third as Asian, 16% as White, 6% as AfricanAmerican, and the rest as either mixed race, Native American, Native
education with focus on engineering design, problem-based learning, co-curricular involvement and its impact on professional formation, and the role of reflection practices in supporting engineering undergraduates as they transition from student to professional. ©American Society for Engineering Education, 2023 Validation of a Measure of Design Framing AgencyAbstractIn this research paper, we investigate the structure and validity of survey data related to students’framing agency. In order to promote increased opportunities for students to engage in and learnto frame design problems that are innovative and empathetic, there is a need for instruments thatcan provide information about
researchers to the field—for example, in National ScienceFoundation Research Initiation in Engineering Formation (RIEF) grants, and CAREER BroaderImpacts and Educational Plan activities—which require traditionally-trained faculty to developengineering education research skills. Reflecting this shift, the number of qualitative researcharticles in engineering education reflects the increase in interest in qualitative methods and theneed for introductory material for pivoting researchers. It has been the norm for engineeringeducation researchers to partner with emergent and pivoting engineering faculty members tomentor them through this transition, but the process is often time- and resource-intensive. To meetthis need, we have developed this primer on