Paper ID #36406Full Paper: Goal-Setting Reflections for First-Year StudentsDr. Charles E. Pierce, University of South Carolina Dr. Pierce is the Director for Diversity and Inclusion and Associate Professor in the Department of Civil and Environmental Engineering at the University of South Carolina. He is also the ASEE Campus Representative. American c Society for Engineering Education, 2022 Goal-Setting Journals for First-Year Students1. IntroductionThe transition from high school to college can be challenging for engineering students. Duringthat first
Paper ID #36343Full Paper: Student Reflections on Team Experiences in a First-YearEngineering CourseDr. Jenahvive K. Morgan, Michigan State University Dr. Jenahvive Morgan is the instructor for EGR 100 - Introduction to Engineering Design and Aca- demic Director of the First-Year Engineering CoRe Experience at Michigan State University. She is also currently the Director of Positions for the ASEE Women in Engineering Division, as well as an ASCE ExCEED Fellow. Dr. Morgan has a PhD and MS in Environmental Engineering from the University of Michigan, and a BS in Chemical Engineering from Michigan State University. Her
Paper ID #36358Student and Instructor Reflections on Integrating ShortMindfulness-Based Meditation Practices into a First-Year EngineeringDesign CourseDr. Hannah Nolte, The Pennsylvania State University Hannah Nolte has recently completed her doctoral degree in Industrial Engineering at The Pennsylvania State University specializing in human factors and ergonomics. Her research investigates the applicability of mindfulness interventions as a stress-management technique for engineering design to improve design outcomes and student well-being. She holds a bachelor’s degree in Physics and Psychological Science from Gustavus
be customized to align with EPICS. Anexample is that the reflection assignments in the new course built on the EPICS experiences. Forexample, critical and reflective thinking is an area assessed in EPICS but first-year students oftenstruggle. To help them, a weekly reflection was included in the common engineering course ontheir EPICS experience. Feedback was provided and this helped their work in the EPICS course.The common course also provided a means to address issues that may arise in EPICS. For example,the EPICS assessments are modelled after professional performance appraisals and requirestudents to identify their most significant accomplishments and document them for evaluation.This method is often foreign to students, but it was
relationships reported amongst respondents? 2. How do the results obtained from the previous study compare to the findings of this cross- university study?Study DesignTo further examine the role of familial influence on student engineering major choice, this studyemploys a multi-methods approach facilitated through a survey with both quantitative andqualitative components. Data obtained from elements of the survey were first analyzedindependently from each other. These independent analyses were followed by a combinedinterpretation phase that sought to understand the results in reflection of one another. To aid inthe analysis and interpretation of results, Social Cognitive Career Theory is used as a theoreticalframework for this
: Starting Successful Study System - In this drill, students develop a plan for approaching exams by creating an individual study system. Students assess their inputs (time, content, resources, person: mental, physical, emotional) and make adjustments to achieve desired outputs in their first set of exams. 3. Fall Semester Drill Week 8: Post-Test Analysis: System Check - Students reflect on their first set of exams and evaluate their study systems to make strategic adjustments. Students also learn how to develop habits, foster self-awareness, and conclude by writing a detailed goal commitment with tangible steps and outcomes. 4. Fall Semester Drill Week 14: Finals Prep - In this drill, students assess their courses
% 93% 13 98% 95% 0.5181Complete Section 82 74% 75% 62 72% 82% 0.0019 Class Surveys .A weekly reflection and survey were conducted with Likert scale multiple-choice questions. Thecomplete wording of the questions and answer choices are shown in Appendix I. The beginningof class results is shown in Table 2, and end of class in Table 3. Both tables show the sum of thetop 2 Likert responses, such as Effective and Very effective to indicate the percentage of studentswith a positive assessment in each topics area. A Likert scale of 1-5 from very ineffective to
] outlined the essential requirement of the application-based projects in complex tasksand learnings, as it requires scaffolding to help students engage in sense-making, managing their investigation& problem-solving processes, and encouraging them to articulate their thinking, while reflecting on theirlearning. However, a completely different perspective in terms of fighting social stigmatization amongstudents, using application-based projects was presented by K. Koutrouba et al. [6]. They held the application-based projects responsible for the successful acquisition of skills such as persistence, willingness,cooperativeness, creativity and self-starters, while the student’s personal experiences, traits, needs, interestsand objectives were
, planned activities asthey articulated their definitions of involvement, a few—like Noah—explicitly describedinvolvement as something more abstract and informal: “Involvement. . .is being present. I thinkwhen I’m involved, it means I’m a part of the thing—a part of the places and the communitiesI’m in. So yeah, that that means being present to me.”Noah’s definition of involvement is particularly important since it reflects the reality of studentslived experiences. As we continued engaging students, it became apparent that theirinvolvement, as experienced and not just defined, extends beyond easily identifiable formalinvolvement opportunities. Informal group interactions—in dining halls, during student-initiatedstudy session, when walking together
grade to start college strongly.Many courses that these Catalyst Scholars have taken before or will take in their college careerare lecture-based – watching someone else perform mathematics and problem solving for them,describing each step, variable and reflective process. This does not allow them to createnecessary connections to their personal experiences [5] or work with each other to help createsatisfying moments [6] – both contributors to successful learning [7]. Therefore, Math Catalyst issteeped in group work on solving engineering applications of mathematics they have seen beforeor are currently seeing in their mathematics course. Each class unit begins with a newengineering or science context, definitions, or reminders of mathematical
TikTok videos for the labs.This idea proved very beneficial and motivated students to learn the lab material effectively. Thismethodology was most effective in motivating the students and capturing student attention.Figure 1. Improved course structure initially designed and employed at Texas A&MUniversity for engineering courses [1], now extended to other STEM courses in Chemistryat University of Texas Rio Grande Valley (UTRGV)2.4 Data AnalysisAutoethnography [12] is a tool used as a self-reflection for recognition and documentation ofpersonal experiences. The above study utilized an autoethnographic approach to understand theresults obtained. The following questions were used to understand the results and answer thecomplexity of an
information on localproblems and case studies pertaining to the community. This year’s community is the Cape YorkPeninsula in North Queensland, Australia [1]. The NGO is the Centre for Appropriate Technology,which is controlled by the Aboriginal and Torres Strait Islanders peoples. In conjunction with EWB, ajoint design brief is developed that reflects the needs of these communities, along with extensiveresources regarding the culture of the people and region as a context for the design. The design brief canbe accessed as an all-encompassing PDF, but the website for the design brief includes many othermultimedia and interactive elements, including interviews with many residents, and a discussion boardto engage other students and faculty from other
studentknowledge of the different engineering majors. Student definitions collected as a part of thisstudy were coded for common themes by multiple researchers using deductive and inductivecoding techniques [15]. Initial codes were developed based on prior work conducted by theauthors [16] and the INCOSE definition of Systems Engineering [10]. During the codingprocess, new codes were identified and developed as necessary. After each coding cycle,researchers met to discuss and resolve coding differences, adjusting code definitions asnecessary.LimitationsThe results of this study reflect those of two midwestern rural populations that are predominantlywhite and male. Additionally, students had access to the internet while completing these surveysand may have
students to gain a comprehensive understanding of the IDE and the important concepts associated with Arduino programming [6].• e-portfolios: Students were asked to hold regular meetings with their teammates and to create design alternatives based on the provided restrictions. The faculty members provided constant feedback on students’ designs. The reports, the meeting minutes, the initial designs, and feedback were collected under each team’s e-portfolio. This collection is then used to create a final presentation poster to which members of the community were invited. The e-portfolios allowed the opportunity for reflection on students’ own progress and self-awareness of their potential for learning and comprehension
. Research Questions The MUSIC model inventory was designed for use by instructors to examine student motivation, to encourage instructor reflection regarding classroom improvements to improve motivation, and to make data-informed decisions about curricular changes. Research using the inventory has been very applied in nature, as its use was intended. Our work has two purposes - to test for differences between early-term and late-term responses on the paired factors; and to take a step back to understand the underlying causal model of the factors together, as the various forms of motivation do not occur in isolation. Based upon the wealth of research touting the impacts of a caring instructor, we sought to understand a model
Paper ID #36350How Can We Make This Work? First Year Engineering Design TeamDevelopment in Virtual vs. In-Person EnvironmentsDr. Natalie C.T. Van Tyne, Virginia Polytechnic Institute and State University Natalie Van Tyne is an Associate Professor of Practice at Virginia Polytechnic Institute and State Univer- sity, where she teaches first year engineering design as a foundation courses for Virginia Tech’s under- graduate engineering degree programs. She holds bachelors and masters degrees from Rutgers University, Lehigh University and Colorado School of Mines, and studies best practices in pedagogy, reflective learn- ing
first-year courses has ranged from skills-based groupassignments [11] to self-selected groups based on a shared common interest. Prior to the move toremote learning, the latter approach utilized in-class presentations and peer-to-peer interviews.Although this provided an effective model for some students, participation in the activity variedfrom student to student. This resulted in the more introverted students ending up in a group thatdid not necessarily reflect their interests. In the move to online learning, this in-personpresentation/interview approach shifted to an online discussion board facilitated through theUniversity’s LMS. For this, students were prompted to introduce themselves, identify theirrelevant skills, and specify the general
conveniencefor the actors, facilitators, and students. Whether or not it returns to an on-campusimplementation in future years will be decided collaboratively by those who plan this event andthe theatre personnel who implement it. Additional considerations regarding futureimplementations of the Theatre Sketch productions are related to the time, effort, and cost ofproduction and the university and department budgetary resources.AcknowledgmentThis material is based upon work supported by the National Science Foundation. Any opinions,findings, 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. The authors alsothank the Partnership for Equity
whenconstructing individualized feedback for 40+ students. Lastly, and related to the benefits of RQ2,instructors’ time may be freed up if students ask the tool questions instead of the instructor,particularly for quick, verifiable questions.One primary complication of ChatGPT being used in ENES100 is the inability of an instructor todistinguish between work done solely by a student and work done by (or with the assistance of)ChatGPT. This introduces a challenge of how to assess student work. For example, when theprompts for a reflection assignment was given to ChatGPT, it produced a narrative that wasindistinguishable from a typical student-written response (RQ1 lines 937-964). This may not beproblematic for students who are responsibly using ChatGPT to
entails, arguably one reason that first-year college engineeringstudents commonly cite math as a key area of struggle. Much like Wendy’s classic “Where’s thebeef?” catchphrase in 1984 (which implored potential customers to reconsider the quantity ofbeef in other restaurants’ burgers), educators might ask a similar question today about thequantity of math in K-12 engineering activities.Initial discussions for this study began when faculty and undergraduates from Ohio NorthernUniversity’s Math Education and Engineering Education programs collaborated on classroomactivities intended to embed math content within hands-on engineering. Upon reflection of theirown experiences, the research team (one math ed. faculty, one math ed. undergraduate