limit how much educators can help students prepare, it may be worthproviding training to faculty. Whether through industry partnerships to offer workshops or todirectly administer mock interviews, providing such experiences for educators could ultimatelyhelp to foster empathy for what the hiring process may entail and could raise awareness of theexpectations for those who may be unfamiliar with it. Education can be valuable and canempower and equip faculty to better aid their students as well.7 Limitations and Future DirectionsThe study conducted a focus group of a subset of individuals across the United States. However,the experiences and voices represented may not be reflective of all institution types or of alleducators
students’ experiences of, access to, and desire for sustainability-focused activities, as wellas the degree to which they feel empowered to promote the kinds of changes they would like thesee in the engineering education system.Autoethnography is a technique that combines the personal reflection of autobiography with theexamination of cultural relations, values, and beliefs that are characteristic of ethnography[12]. Itmay be argued that the qualitative nature of autoethnography runs counter to the more dominantquantitative epistemology in engineering. However, the socio-cultural insights it elicits can beboth insightful and instructive when seeking to understand and support change in the engineeringeducation system because systems change is, at
and responsibilities via presentation of technical course material. Overall, this casestudy investigates nuclear engineering for its curricula-embedded epistemological foundationsand offers reflections on the relevance of beliefs about knowledge to engineering problemsolving.2 Introduction The term “engineering”, linked in origin to both “ingenious” and “engine”, describes aprofession linked to the virtues of originality and innovation as well as the artifacts and processesdeveloped to enhance human flourishing. We take these elements (production of tools, originalinnovation, and the commitment to human welfare) to be foundational (though incomplete) dueto their ubiquity and use this as a starting point for our analysis [1], [2
this mindset is often dampened or diluted by otherengineering mindsets and ideologies [1]. This reason points to why student agency as a form ofresistance against and liberation from the hegemony of dominant ideologies and social structuresis so commonly invoked [15]. Building off bell hooks [15] work, Secules and colleagues [13]identified a form of student agency that emerges from theorizing narratives about one’sexperiences encountering dominant mindsets and ideologies [1-2, 5] of an engineering program.They explored the experience of a student from a historically marginalized underrepresentedgroup in engineering and found that “constructing and reflecting on narratives about [student]experiences and relating them to cultural narratives
techniques that accurately reflect the varied ways in whichstudents learn. Starting from this, new evaluation methods are being sought that better fit the wayof learning of each student, so our research will focus on finding a new form of evaluation basedon frequent unannounced evaluations to improve student learning. and contribute to academicintegrity. This new method was applied in civil engineering and architecture courses, along withactivities that develop student learning.Background/FrameworkAcademic integrity within the student environment is related to honesty, responsibility, andrespect, and implies that students must follow rules and regulations, demonstrating theircommitment to responsibility and ethics against frowned upon activities
CHALLENGING CALM(HCP). The module consists of a short introductory video and three lengths of interactivelectures with embedded pop-up low-stake questions for students to choose. Then students areguided to CMR questions as described earlier. Based on their performance, students may bedirected to a set of short supplemental interactive videos. All students then continue with a morehands-on simulation instructional tool (3D Crystal Builder,https://conceptwarehouse.tufts.edu/cw/crystalVL/) and reflection activities before beingpresented with a resources review page. Lastly, students work on adaptive summative assessmentwith various difficulty levels of concept questions and a survey. More details of the structure andcomponents of the CALM was previously
focused on STEMinterests while the Group Work Skills Questionnaire Manual Survey is centered on studentcollaboration. The results of Wilcoxon Signed-Rank Tests indicated positive significant impactson 21st-century learning, Group work, student’s expected class performances (in Math, Science,Engineering, and English) and student’s plan to take advanced courses in the future (in Math,Science, and Engineering). Additionally, daily reflection surveys were administered tounderstand the impact of individual activities students participated in each day. Results wereanalyzed to identify activities that positively improved domains in student interests, whichprovided additional context to the meaning of the results from the pre- and post-survey
is readily available” [22]. Making use of library resources thus has benefits tomany students beyond providing a no-cost IM source.There were two notable absences in the responses related to information sources for IMselection. No respondents mentioned using book reviews, in spite of this recommendation madein at least one STEM instructional guidebook [2]. Also, none of our respondents indicated thatlibrarians were a resource for selecting IM. This may reflect a belief that librarians do notprovide support or have expertise in this type of information search and evaluation. However,there are many efforts and studies in library and information science about supporting thecreation and use of OER [8], [23] and OA materials [24]. Several of our
, or design.Alex also shared going beyond to work as a designer to give critical feedback to others andbecome a facilitator in brainstorming and organizing review sessions with other team members.US-based students highlighted that the development of confidence and comfort in engaging withother disciplines was a significant aspect of these students’ shifts in mindset as a result ofpursuing interdisciplinary education. Emily reflected on this, stating, “So if you were to describeyourself as an interdisciplinary scholar, then you would be comfortable working with otherdisciplines”. Additionally, one U.S.-based student expressed the shift in self-identification as aninterdisciplinary researcher through working across bodies of knowledge. Ricardo
Virginia Tech. Prior to joining VT, Dr. Pitterson was a postdoctoral scholar at Oregon State University. She holds a PhD in Engineering Education from Purdue University and othDr. Emily Dringenberg, The Ohio State University Dr. Dringenberg is an Associate Professor in the Department of Engineering Education at Ohio State University. She holds a B.S. in Mechanical Engineering (Kansas State ’08), a M.S. in Industrial Engineering (Purdue ’14) and a Ph.D. in Engineering Education. Her current career purpose is to learn about and reveal beliefs that are widely-held as an implicit result of our socialization within systems of oppression so that she can embolden others to reflect on their assumptions and advance equity
ouruniversity being a second choice, so maybe we might be getting bumped up to a first choice with[changes to legislation] happening the way they’re happening.”We grouped responses from participants into the following subcategories: increase in usage ofstandardized testing; decrease in sense of belonging among students from minoritized groups;decrease in awareness of support for applying; and decrease in enrollment of students fromminoritized groups. We also add some further reflection on admissions.4.1.1 Increase in Requiring Standardized TestingParticipants mentioned several ways that their institutions attempt to lower obstacles to applyingfor admission, such as removing application fees and moving towards test-optional applications.However, Jean’s
, communication & use of media, assessment &evaluation, tolerance for ambiguity & uncertainty [10]; and interpersonal relations &collaboration [11]. A summary of survey development and its validation are discussed in thenext section. III. METHODSA. Survey development A comprehensive and systematic approach has been used to develop the surveys thataccurately reflect the research goals of this project. Although a detailed description andapproaches used for survey development and its validity assessment are available in Hang [8],we present a summary of the survey development process in this paper for continuity. The 3primary goal of the surveys is to
transitions in thiscollaborative autoethnography work.3. MethodsAutoethnography (AE) can be described as a study of the self, where the self acts as a window tothe world, society, or culture. AE, where the researcher acts as both participant and researcher,oftentimes gets critiqued for being self-absorbing and mere naval-gazing. To overcome thelimitation of AE, in Collaborative Autoethnography (CAE), a team of researchers workscollectively to collect, analyze, and interpret data to “gain a meaningful understanding ofsociocultural phenomena reflected in their autobiographical data” [11, p. 24]. By allowing eachresearcher to share their narrative in a way that resonates with others, collaborativeautoethnography is regarded as a transformative process
assessment form modeled off an employee appraisalform [19]. The assessment form (Appendix A) provided an opportunity for student reflection anddiscussion between the student and the advisor to ensure that the students perceived effort andachievements in each category matched the advisor’s assessment. Also, individual deliverables orgraded assignments were assigned to each student to provide a quantitative assessment of theABET student outcomes. A more in-depth description of the assignment of roles andresponsibilities and the qualitative and quantitative assessment of ABET student outcomes forthe Student Steel Bridge Team and the Concrete Canoe Team are provided below.Steel BridgeThe AISC SSBC inherently lends itself to achieving the ABET Student
, Alegra Eroy-Reveles5 American Society for Engineering Education National Conference 2024 Author NoteThis material is based upon work supported by the National Science Foundation under Grant No.2113355. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the authors and do not necessarily reflect the views of the National ScienceFoundation. Correspondence concerning this article should be addressed to Josephl L. Henry,Department of Sociology, University of California Irvine, Email: Josephlh@uci.edu1 PhD Candidate in Sociology at the University of California Irvine2 PhD Student in Mathematics and Science Education at the University of
educational and professional opportunities should reflect and support these values. Futureresearch on this topic could include power sharing structures and opportunities within SUCCs, thequantitative impact of an intervention program like DeSIRE on student academic outcomes or teacherretention rates, or community and parent perceptions of SUCCs (especially in conjunction with theservice mission of public universities).ConclusionThe purpose of this study was to understand how a school-university-community collaboration coulduse existing community assets to support the reduction of rural flight, or “brain drain,” by influencingstudent and teacher perceptions of local workforce opportunities. Through meaningful relationshipbuilding between various
6 5 1 0 0 engineering design and STEM Have students participate in hands- 7 5 0 0 0 on activities Engage and empower students in 8 4 0 0 0 enquiry-based learning Students work collaboratively on 7 5 0 0 0 group projects Engage students in open-ended problem solving with student peer 6 6 0 0 0 collaboration. Reflect on my teaching 5 4 3 0 0
leveraging institutional data to support reflective teaching practices. She has degrees in Electrical Engineering (B.S., M.Eng.) from the Ateneo de Davao University in Davao City, Philippines, where she previously held appointments as Assistant Professor and Department Chair for Electrical Engineering. She also previously served as Director for Communications and International Engagement at the Department of Engineering Education at Virginia Tech, Lecturer at the Department of Engineering Education at The Ohio State University, and Assistant Professor at the Department of Integrated Engineering at Minnesota State University, Mankato. She holds a Ph.D. in Engineering Education from Virginia Tech.Carol Geary, Virginia
are struggling tofind a research advisor conceptualize this struggle as a direct reflection on their competence and worth.AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grant 2130169. Anyopinions, findings, and conclusions or recommendations expressed in this material are those of the author(s)and do not necessarily reflect the views of the National Science Foundation.References[1] Council of Graduate Schools, “Ph.D. completion and attrition: Analysis of baseline program data from the Ph.D. completion project,” 2008.[2] R. Sowell, J. Allum, and H. Okahana, “Doctoral Initiative on Minority Attrition and Completion,” Washington, DC, 2015. doi: 10.1145/1401890.1402023.[3] R
than 0.4 were considered poor agreement. These ranges are consistent with current conventions for assessing interrater reliability [31]. Cohen’s Kappa was calculated for each theme in the data, using 2X2 contingency tables that evaluated how well a particular theme identified by the domain expert agreed with the theme assigned by top NLP modelling techniques classification models.ResultsIn our study sample, initial topic modeling revealed the emergence of four topics (also referred toas codes). Table 2 displays the most frequently appearing words linked with each of these fourtopics. Topic 1 reflected students’ desire for greater practice with solving problems associatedwith engineering content including but not
specificknowledge on the project's topic, reflected in increasingly technical descriptions in each of thepresentations. We have taken the metric of the number of articles as an indicator of students' pursuitof new knowledge. In describing the solutions, students included diagrams, concepts, methods,and results in their presentations, which demonstrates their engagement with the articles.Defined RequirementsOne of the most important findings of this study was the analysis of requirements. Only one groupmaintained the number of requirements, indicating that iterative design is necessary to developbetter solutions to problems. In the first iteration, three groups provided more detailedrequirements, either by adding or dividing those initially proposed in the
% DT 0.6017 -14.7% LR 0.5930 -16% NB 0.5709 -19.1%Final ModelThis study employed an artificial neural network with a specific structure to analyze andmodel a dataset (see Fig. 2). The network featured a hidden layer comprising two neurons, achoice-balancing model complexity, and efficiency. The network's target variable was“Dropout,” and all other available dataset variables were used as inputs to predict this target.This configuration allowed for an in-depth exploration of the relationships between” Dropout”and other variables. A key feature of the network was its focus on classification, reflected inits nonlinear
points, and he or she only had an error in the manipulation of the equation priorto finding those points. In graph 9 (Figure 5), all of the points are wrong and the slope is incorrect. However, if wecompare the line in the graph and the correct line for the equation, they are reflections of eachother across the x-axis. Therefore, it may be that this graph resulted from a sign error, slope andintercept are positive when they should be negative.In the case of Graph F (Figure 2), Sam hypothesized about this student’s reasoning in creatingthe graph when he was grading. Sam gave the student 7 points. The other graders only gave thepoints for the correct slope – a feature of the appearance of the graph. Daniel said, “I will onlylook at what the
and within a major [10, 11]. One study showed that acombination of student-advisor interaction, student-faculty interaction, participation inextracurricular activities, and utilizing the library correlated with a higher first to second yearretention rate (fall to fall) among students [12]. While each method is helpful, institutions wouldbe well served in designing academic support opportunities that include the variety ofstakeholders in their students’ social networks at college.In addition to feeling connected to the college community, educational researchers havedemonstrated the efficacy of a positive academic self-concept. Students perceive their academicabilities through self-reflection and comparison to others. This perception, their
researchers to guide their curriculum analysis and redesignefforts. BackgroundWe have referred to the idea of “curricular complexity” loosely so far, but we can be moreprecise by using a framework that is growing in popularity when describing curricular designpatterns. The formal analysis of curricular design patterns can be accomplished using aframework called Curricular Analytics [10]. The adoption of Curricular Analytics reflects aparadigm shift toward a data-driven approach to analyzing curricula and degree requirements.This method quantitatively assesses the "complexity" inherent in a plan of study; at its core,Curricular Analytics captures and models the intricate web of pre- and corequisite
methods, strategies, and their outcomes, allowing institutions to gaugethe overall performance of educators and identify areas for improvement. This process allowseducators to reflect on their teaching practices, adapt to evolving pedagogical trends, andenhance their students' learning experiences. In the existing literature much is known about howteaching evaluations are conducted and their value in helping educators become better at theircraft. However, there remains a gap in our understanding of the theoretical underpinnings of howsupervisors and peer evaluators make decisions about how to rate teaching beyond their ownperceptions of teaching.In this paper, we introduce the theory of rating (ToR) by Robert Wherry as a candidatetheoretical
might be reflected in the underrepresentation of students with disabilities in thescholar community. Between 11% and 15% of U.S. college students identify themselves asstudents with disabilities [7] [8] and about only 4% of these students with disabilities haveenrolled in engineering majors [8]. As of 2015, while the 33% of the U.S. population held atleast a bachelor’s degree, only 14% of the population with disabilities had reached this level ofhigher education [9]. Furthermore, just 1% of students with disabilities have received a PhDdegree in 2017 [10]. These statistics provide a glance of the disadvantaged position that studentswith disabilities hold, as compared to the general population in the U.S. Given the historicallyexclusionary
, University of Oklahoma Haley Taffe is an Accelerated Masters student in Biomedical Engineering at The University of Oklahoma. She focuses on first year students and self-reflection opportunities within the classroom to enhance learning. ©American Society for Engineering Education, 2024 Examining the Engineering Self-Efficacy, Design Self-Efficacy, Intentions to Persist, and Sense of Belonging of First-Year Engineering Students through Community-Partnered ProjectsAbstractCommunity-partnered projects (CPP) have been used in education from the 1990’s and have beenshown to demonstrate effective learning by working on real-time problems which are diverse andcultural, social, and environmental
influence thatcontribute to the funds of knowledge. Thus, combining them can provide a better understandingof how underrepresented groups (e.g., MSFW students) convert or exchange their funds ofknowledge and social capital to navigate STEM spaces.As stated above, FofK concentrates on students’ families, lived experiences, and communityresources, all of which are impacted by social capital [22], [23], [24]. For example, Stanton-Salazarand Dornbusch [25] mentioned that social capital and FofK are essential for minoritized students’academic success. Their findings showed significant results on how the accumulation andacquisition of social capital are tied to social class, which is also reflected in students’ performanceand access or lack of funds of
disciplines.Section six describes the course assessment methods, including the post-course survey and ananalysis of students' responses from a pilot implementation, focusing on their comprehension ofengineering disciplines, readiness for academic challenges, and confidence. Section sevendiscusses how students’ feedback has been used to enhance the course and the nextimplementation. Finally, the last section concludes by reflecting on the effectiveness of thecourse, arguing the potential impact of this course on students' academic and career decisions.2. Literature ReviewA student choosing an engineering major is influenced by factors ranging from personal interestsand abilities to external influences like family, educators, and societal perceptions [3