identified by the other model. The GPT-4 model tended to identifymore basic relationships, while manual analysis identified more nuanced relationships.Our results do not currently support using GPT-4 to automatically generate graphicalrepresentations of faculty’s mental models of assessments. However, using a human-in-the-loopprocess could help offset GPT-4’s limitations. In this paper, we will discuss plans for our futurework to improve upon GPT-4’s current performance.IntroductionAssessments are found in every engineering classroom and are an important part of our educationsystem [1]-[3]. Assessments play many different roles, including understanding studentimprovements in learning [4], acting as a tool to assist students with learning [5], [6
execution [17].The main characteristic of this stage is that the team develops the working mechanism toeffectively guide their collaborative work with strategies and plans. Continued collaboration thenleads to the fourth stage, Performing. At this stage, all members understand the expertise,position, working style, and personality of everyone to a certain degree. In addition, the teamcould prevent or even harvest from potential conflicts with constructive conversations.Adjourning is the last stage and refers to the period of time when the team disbands or finishesthe project [11-12]. After successful team experiences, teammates share feelings of sadness,express a willingness to work more in the future, recognize and appreciate the importance ofeach
opportunity to build another company as acontractor, but that did not go as planned either. I decided to go back to school again for the lasttime in 2021 and have been in school since then.In the Summer of 2023, I was contacted by Dr. Jaafar, with the opportunity of undertakingundergraduate research with his mentorship. I was given the grant proposal to go over to find outif I would be interested. The proposal also provided an idea of what would be expected from me,and what the research goals were. I accepted the offer since I felt that it would be beneficial tome, especially since I intend to further my studies after graduation. I also felt that my experiencedoing research in industry would help me in this regard. I was excited to start work on
urbanplanning method. These approaches shift the power relationships traditionally established ininterview settings and allowed student participants to shape the direction of their interviews andstorytelling.In this paper, we first describe the central ethical and justice challenges to soliciting andengaging BIPOC students in research about their experiences. After describing the goals of thestudy, we explain two key strategies that allowed us to address these challenges in our datacollection: 1) Use of boundary objects to elicit participants narratives, and 2) the integration ofparticipatory urban planning methods.We show sample data sets to explain the ways our methods provided opportunities to learn morefrom students, to gain a comprehensive
Network Analysis (ENA)One possible strategy for analyzing the connections between these frame elements is ENA, amethod that uses coded data to find temporal connections between ideas within an individual orcommunity. Each of these codes are represented as a node in the network, and edges betweennodes represent the strength of an individual or community’s connection between those twocodes. For example, epistemic network analysis has been used to investigate how engineeringidentity emerges as students participate in a medical device company simulation [12], howstudents develop an epistemic frame when completing an urban planning simulation [13], andhow engineering values and epistemology emerge as students participate in a four-weekengineering
accrediting agencies, institutional influences of college missionsand resources, and unit-level influences of faculty, discipline, and student characteristics. Starkalso created the Contextual Filters Model that provides an overview of the various contexts thatinfluence course planning for college faculty (Lattuca & Stark, 2011; Stark, 2000; Stark et al.,1988). A study by Lund and Stains examines unique environments and contexts of departmentsin influencing STEM faculty’s teaching practices and finds that disciplinary differences exist andhave shown potential associations to level of adoption of evidence-based instructional practices(2015). Another study shows similar findings where faculty’s teaching practices differ based onthe contexts they
experiences in math and science and thedevelopment of postsecondary plans in STEM. In combination, the results suggest that forstudents who do not initially identify as STEM career-bound, afterschool programming may notnecessarily promote preparation for STEM careers due to an accumulation of weak math andscience school experiences and other socio-environmental influences.Index terms: engineering, high school, math self-efficacy, minoritized students, urban education I. INTRODUCTIONPerformance in math, particularly algebra, is a major barrier to student participation,enthusiasm, and success in STEM among minoritized 4 students in U.S. high schools.Furthermore, the transition between middle school and high school is a liminal and tumultuoustime for
Multilingual Board GameIntroductionSerious games are a category of games that are often used in education to provide access tocomplex systems. In past research and curriculum development, engineering teachers haveimplemented curriculum around STEM-focused games [1], such as for urban planning [2],transportation engineering [1], chemistry education [3] and computational thinking [4]. Due tothe increased interactive engagement of games compared to lecture [5], [6], [7], engineeringeducators have utilized games to positively impact students' learning. However, theseeducational games are often only available in English. Students whose first language (L1) is notEnglish may be limited in how they present their ideas to peers in these playful spaces
College, where her primary role is to coordinate data collection, interpretation and dissemination to support teaching and learning, planning and decision-makinLeah Mendelson, Harvey Mudd College Leah Mendelson is an Associate Professor of Engineering at Harvey Mudd College.Steven Santana, Harvey Mudd College ©American Society for Engineering Education, 2024 The Impact of Diaries and Reflection on Self-Assessments of Learning in a First-Year Undergraduate Engineering Design CourseAbstractThis work-in-progress (WIP) paper communicates the impact of diary and reflection activities onstudents’ self-assessments of their learning in a first-year, studio-format undergraduateengineering design course
intentions foreshadow behaviors [15].Collaborating with Ajzen at the University of Illinois, the pair introduced subjective norms toincorporate how social dynamics affect intentionality, which culminating in the Theory ofReasoned Action (TRA) in 1980 [22]. The TRA’s usage spurred further studies into beliefs,norms, and behavioral expectations [23], [24]. In the mid-1980s, Ajzen extended the TRA’sapplicability with the Theory of Planned Behavior (TPB) [25], [26], [27], incorporatingperceived outcome control and other behavioral models [28], [29], [30]. The domain alsowitnessed practical applications of these theories during the AIDS epidemic, with governmentalbodies, including the National Institute of Mental Health, seeking behavioral
arranged some club events immediately after the CS I class to maximize CS I student participation. We allocated a work-study student to devote five to ten hours per week to planning, coordinating, hosting hybrid club meetings and events (both in-person and online) and increasing students’ access and engagement. 3. Form a Department Community Center with both in-person and virtual spaces: We established a pilot Department Community Center for students to get together, interact with and support each other. The Center was previously a research-only lab and is currently located in Room C03A. We extended its function to host the ExCITE program, the ACM club, and the ACM-W club. We complement this Center with a
Award, The Nevada Women’s Fun Woman of Achievement Award, and the UNR College of Engineering Excellence Award.Dr. Adam Kirn, University of Nevada, Reno Adam Kirn is an Associate Professor of Engineering Education at University of Nevada, Reno. His research focuses on the interactions between engineering cultures, student motivation, and their learning experiences. His projects involve the study of studenMr. Derrick James Satterfield, University of Nevada, Reno Derrick Satterfield is a doctoral candidate in Engineering Education at the University of Nevada, Reno. His research focuses on engineering graduate students’ experiences and motivation centered on career planning and preparation
-design courses with instructor-centered approaches. This suggests a disconnectbetween planned, enacted, and experienced elements of curriculum and lifelong learningoutcomes [7]. More research is needed to understand how or why current and recent students’perceptions of the effectiveness of their programs and courses sometimes contradict purportedbest practices, and the implications for lifelong learning motivations and strategies.Marra et al. [30] also explored how the nature of an undergraduate engineering programimpacted alumni lifelong learning, focusing on the program’s emphasis on metacognition andreflection often facilitated through team projects. The researchers interviewed 15 recentgraduates (3-4 years post-graduation) in the United
shared similar on-campus experiences to non-program participants. Moststudents also reported plans to pursue a career in STEM immediately following graduation,regardless of program participation.Additional analysis of open-ended response questions revealed more insight into student STEMinterest and experiences. Responses for S-STEM and non-S-STEM students were similar. Surveyrespondents shared that earning potential and job security were among the reasons they chose aSTEM major. When asked about individuals or experiences that encouraged their interest ordevelopment in STEM, multiple survey respondents indicated that their interest in STEM wasdue to their academic preparation or in some way inherent and indicative of their innate abilitiesand
up earlier to get them ready. The days that hedoesn’t go to school he asks why he doesn’t have school. I have to plan for those days…Sometimes it doesn’t come out as planned. I have to think about what to do. Things change,emergencies come up… I have a Plan A and Plan B just in case” (Family 31). Family relationship building—Another common theme across all seven families wasparents perceiving and leveraging the engineering activities and engineering design practices tosupport family collaboration and build relationships among family members, including siblings,spouses, or extended family members. As one parent stated when reflecting on the most valuableaspect of the program: "El tiempo juntos, aprender juntos uno del otro. Las ideas
,“understand the impact of engineering solutions in a global, economic, environmental, andsocietal context” to the 2022-23 criteria with multiple elaborate learning outcomes underCriterion 3: “2. an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors. 3. an ability to communicate effectively with a range of audiences. 5. an ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives” [5]. These learning outcomes have
/dhe0000115.[7] I. Ajzen, “The theory of planned behavior,” Organizational Behavior and Human Decision Processes, vol. 50, no. 2, pp. 179–211, Dec. 1991, doi: 10.1016/0749-5978(91)90020-T.[8] B. Latané and J. M. Darley, The Unresponsive Bystander: Why Doesn’t He Help? New York, NY: Appleton-Century Crofts., 1970.[9] T. S. Harding, M. J. Mayhew, C. J. Finelli, and D. D. Carpenter, “The Theory of Planned Behavior as a Model of Academic Dishonesty in Engineering and Humanities Undergraduates,” Ethics & Behavior, vol. 17, no. 3, pp. 255–279, Sep. 2007, doi: 10.1080/10508420701519239.[10] M. E. Matters, C. B. Zoltowski, A. O. Brightman, and P. M. Buzzanell, “An Engineering Faculty and an Intention to Make Change for Diversity and
advisor and the young people we worked with.”In their reflections, Authors 1 and 2 describe the roles they assumed during their first researchstudies. Author 2 describes how, initially, she assumed the role of a “learner and tester,” withadvisors and colleagues' help, she gained more confidence in her position as a researcher. Author1 describes how she also used guidance from the youth participants as a learning experience.However, this could be seen as the merging of her role as a learner and her position as aresearcher on a design-based research project where participant interactions mediate changes fornew design iterations. Author 2 “When the workshop was completed, I finished everything I planned on time and got the data I wanted
] and aims to let informants’ genuine thoughts and emotionsunfold naturally.Interview StoriesThe interview stories were collected during interviews in six studies, where the context for eachstudy was a unique section of the same preservice teacher education course in a large publicuniversity in the Southeast United States. Each section was offered in a unique semester.Informants were recruited under a protocol approved by the IRB of the large public university inthe Southeast United States. To recruit informants, a researcher visited the classes, explained thepurpose of the study – to learn how preservice teachers learn to use robotics technology in K-12classrooms from videos, lesson plans, and discussions. Informants in all six studies
completing tasks on time, the graduate student andinstructor discussed a plan to help the student. We used the following points for the learningobjectives mentioned above.Table 1. Introduction to Scientific Research course assignments and grading policy Learning Assignment Points/Total objective points Scientific method Hypothesis & Aims Experimental design plans 20 points & 40 points Laboratory safety Safety quiz, Safety tour 15 points total Reading scientific Reading
necessary to develop impactful, innovative, and successfulengineering solutions [9]–[11].In addition to preparing engineering students to successfully address modern engineeringproblems, the inclusion of comprehensive engineering skills in the curriculum has implicationsfor students’ engagement and persistence in the field. Students’ engagement in their field as wellas their plans to pursue an engineering career or engineering graduate education is determined inpart by an alignment between their personal and professional interests and values in engineeringand curricular messages about what engineering practice includes. For some students, thepotential to leverage engineering for social good is a key motivation for pursuing work in thefield [12
students and an introductory course for a minor in Innovation andEntrepreneurship at Shanghai Tech University [42]. The aim of this course is to allowstudents to utilize scientific methods and critical thinking skills to collaborate with teammatesof different disciplines and solve real-world issues [42]. In higher education, researchers havefocused more on enhancing learners' competencies.Additionally, children from six institutions in Shaanxi Province have taken part in virtualworkshops focused on design thinking and STEM education [43]. Plan International has alsoreached a broad audience in implementing design thinking in STEM. Doing so has aided inreducing gender stereotypes about STEM education and has made students more comfortableexploring
framework’, ‘social medium’, and ‘participate outreach’.Figure 4d) demonstrates the bigram network related to tweets discussion online EE, where itwas observed that the education board in the central node connected with the words ‘distancelearning’, and Oklahoma State’. There are also conversations about ‘plans to keep the schoolbuilding closed’ in communication-related to the COVID-19 pandemic. Additional notablewords would be ‘institutional care fund’. These discussions were about the courses becomingonline and institute initiatives to cover the funds of the students who paid for campus coursesyet become online due to the consequences of COVID-19.Figure 4: Top bigrams for each group c) engineering profession, and d) distance learningFigure 4e
criteria for success and constraints on materials, time, or cost. 3-5 ETS1-2: Generate and compare multiple possible solutions to a problem based on 13 how well each is likely to meet the criteria and constraints of the problem. 3-5 ETS1-3: Plan and carry out fair tests in which variables are controlled and failure 22 points are considered to identify aspects of a model or prototype that can be improved MS ETS1-1: Define the criteria and constraints of a design problem with sufficient 22 precision to ensure a successful solution taking into account relevant scientific principles taking into account potential impacts on people and the natural environment that may limit possible
)? if they are a valued member of the team. The RPP establishes rou- Siloed Decision Making (SD): tines that promote collabo- Leadership (PI/Co-PIs) making What team norms, if any, rative decision making and decisions about planning and were developed? Are they guard against power imbal- implementation without soliciting followed? How? ances input or feedback from wider team. Are all team voices included RPP members establish Recommended RPP Improvements in collaborative decision norms of interaction that (RR): recommendations from either making? If yes, how? If no, support collaborative deci- partner on ideas to improve the part- please describe your sion making and equitable nership
Science and Engineering (CSE) majors from eight CSEcourses at a large, research-intensive university located in the United States. Five questions about thestudent experience in the current course and their plans for the next course were embedded into largersurveys administered in each of the participating courses. In this paper, we focus on student responses tothe following survey questions: “What are barriers that might prevent you from taking the next coursein this sequence?” and “What makes you feel good about your plans to take the next course in thissequence?” Each of the participating courses serves as a prerequisite course for at least one subsequentcourse (for example: Intro to CS I is a prerequisite for Intro to CS II).We address the
engineering students to work effectively in teams, writing that“because of the increasing complexity and scale of systems-based engineering problems, there isa growing need to pursue collaborations with multidisciplinary teams of experts across multiplefields” [1, pp. 34–35]. ABET has similarly dedicated one of its seven student outcomes toteamwork, wording it as: “An ability to function effectively on a team whose members togetherprovide leadership, create a collaborative and inclusive environment, establish goals, plan tasks,and meet objectives” [2]. Research studies have also repeatedly underlined the importance ofdeveloping engineering students’ abilities to work in teams to meet industry needs [3], [4].As a result, there has been an increased
inclusion (20 items), 5) mentorship experience (18 items), 6) programsatisfaction (11 items), 7) STEM-related future plans (4 items), and 8) demographic information(7 items). An additional ninth section was designed to capture the unique experiences undertakenby RET participants [13]. MERCII survey has gone through a number of iterations in an effort tocreate a set of tools applicable for all [11].Sections 2 through 6 of the survey were analyzed for this study. These sections consisted ofLikert-type questions with the following scale: not at all =1; very little = 2; somewhat = 3; quitea bit = 4; a great deal = 5.Data CollectionThe instrument was administered to six ERCs between Summer 2021 and Spring 2022. Theinstrument was shared with center
engagement guide based on patterns found in the pilotsurvey data, the research team plans to implement stakeholder interviews with students to gainfeedback and further insights into their decision-making processes and what they believe wouldimprove the usefulness of a co-curricular engagement guide. The interviews will allow the researchteam to explore and test preliminary hypotheses about what factors students consider when makingengagement decisions.Preliminary Survey ResultsWe present preliminary patterns of common pilot survey responses in Table 2 and Figure 2.Table 2. Common responses in sections of the survey. Participants could select multiple choices. Parenthesisindicates number of respondents. Co-Curricular Categories Academic or
influences from socializers mayinteract with students’ motivation to persist in STEM. Alternatively, future work couldexperiment with facilitating these interactions to improve motivation. Further empirical insightsthat unpack the dynamics of different socializer-interactions can build a deeper understanding ofthe impact of socializers to inform research and practice.References[1] J. P. Martin, D. R. Simmons, and S. L. Yu, “The Role of Social Capital in the Experiences of Hispanic Women Engineering Majors,” J. Eng. Educ., vol. 102, no. 2, pp. 227–243, 2013, doi: 10.1002/jee.20010.[2] National Science Foundation, “U.S. National Science Foundation 2022-2026 Strategic Plan,” 2022.[3] E. McGee and L. Bentley, “The equity ethic