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2023,shortly after they completed their respective interventions.SurveysTo understand the interventions’ impact on sense of belonging and engineering identity, programparticipants responded to a retrospective pre- and post-questionnaire that combined two validatedsurvey instruments: Godwin’s [9] engineering identity scale and Hanauer et al.’s [11] measure ofpersistence in the sciences (PITS). The PITS combines five other validated instruments thatmeasure project ownership-emotion, project ownership-content, science identity, self-efficacy,scientific community values, and networking on a five-factor scale. These variables have beenshown to predict psychological factors that influence students’ intent to stay in science andengineering
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for student reflection and have achieved some level ofintegration and/or embedding into a program [15]. These open-ended events were intended tobuild intrinsic motivation in students through the three mechanisms identified in self-determination theory (viz. satisfying the needs for competence, relatedness, and autonomy) [9]by developing student self-efficacy in engineering design, introducing them to their discipline,classmates, and instructors, and connecting their classroom learning to real-world problems.The event described in this paper is similar to the concept of “designettes” but was of longerduration at 12-16 hours of student contact time [18], and focussed on the latter implementationphases of design, with correspondingly less
Paper ID #42725Board 68: Integration of Learning by Evaluating (LbE) within the 5E InstructionalModel in Engineering-Design EducationDr. Wonki Lee, Purdue University Wonki Lee received a Ph.D. in Education, Curriculum Instruction, Language and Literacy at Purdue University. She received her bachelor’s and master’s, specializing in Korean language education as a second/foreign language, from Seoul National University, South Korea. Her research interests are self-efficacy, culturally responsive teaching, and machine learning in a diverse educational setting.Prof. Nathan Mentzer, Purdue University Nathan Mentzer is a
you areasked to solve,” “developing a logical argument to defend a proposed solution”) using a five-point scale from “no gains” to “great gains.” The survey also asks students how much specificaspects of the class helped their learning (eg, attending lecture), allowing us to isolate studentexperiences of the new tool in user testing.The SALG has been used by more than 22,000 instructors to assess nearly half a million studentsand has been validated as a measure of active learning, content mastery, and self-efficacy in thecontext of undergraduate mechanical engineering courses [29]. For this application to systemsthinking, which we believe is novel, we customized questions using the student learningobjectives for the course, as is customary
, while later modules build in complexity to focus on integrating these newfoundskills and knowledge. Within each week’s module, learning also builds towards articulatedlearning goals made known to learners via a Canvas Overview and Wrap-up, agendas during in-class activities, and (light) assignment rubrics. The repeated weekly structure creates a familiartempo that fosters both learner and student-teacher self-efficacy, guiding learners while theybuild up their engineering project portfolios. We provide examples of the Canvas LearningManagement System artifacts in the figures below. Figure 1: Canvas depiction of the full course module structure of two First Year Design offerings, as designed by student- teachers: Intro to Cybersecurity (Left
werederived from the proficiencies of the USAFA Outcomes for Application of Engineering Problem-Solving Methods and Critical Thinking (see Appendices A and B). The final question was includedto capture the students’ self-efficacy in their learning development, which is a topic not specificallyaddressed in this paper. The initial and final questionnaires were identical to gauge a student’sself-assessed development in a given outcome proficiency from the beginning of the semester tothe end. In the Spring 2022 semester, all seven instructors and 369 students participated in the newcourse with the new course projects. The same questionnaire was given to the students at the startand end of the semester, and 321 students responded.The students responded to
developed by the research team to assess the effect of the course on self-efficacy as well as their interests in STEM, design, and robotics; while the university-administered evaluation is the standardized course evaluation that are conducted for all coursesacross campus. The objective of the university-administered evaluation is to gather feedbackfrom students regarding their learning experiences, the effectiveness of the instructor, and theoverall quality of the course. The evaluation serves as a valuable tool for the instructor andadministrators to assess teaching methods, identify areas for improvement, and make informeddecisions about curriculum development and faculty performance. The anonymous university-administered course evaluation was
suspect. Eliminating them from consideration does not alter the generalfindings. Finally, effect sizes were calculated (r values in Tables A3 to A8). These“measure…the closeness of association of the points in a scatter plot to a linear regression line”[27] and are associated with a scale categorizing the closeness of association (e.g., noassociation, very weak, weak, etc.) [27, 28]. While findings are discussed using p values, acommon practice in presentation of pre- and post-instruction measures of educationalinterventions, it is the r values that were used to interpret the patterns and arrive at the study’sconclusions.Persistence and graduation rates of native students and those who transferred to the institutionwho had completed one of the
]. Moreover,students with mental and physical disabilities are more likely to report incidents of socialmarginalization and devaluation of professional capabilities [10]. Lezotte et al. explored the“otherness” experienced by students with disabilities and its impact on their sense of self-efficacy, belonging, and engagement in engineering [7].In comparison to the growing bodies of research reporting the experiences of other minoritygroups in engineering, such as gender and race minorities, research pertaining to the experiencesof people with disabilities remains relatively limited [10], [11]. Spingola reported a persistinggap in exploring the intersection of disability experiences and engineering education in ASEEproceedings [12]. Over the past