Paper ID #42491Applied Ethics via Encouraging Intuitive Reflection and Deliberate DiscourseLucas J. Wiese, Purdue University Lucas Wiese is a PhD student in Computer and Information Technology at Purdue University. He studies AI ethics education and workforce development and works in the Research on Computing in Engineering and Technology Education lab (ROCkETEd) and the Governance and Responsible AI Lab (GRAIL).Dr. Alejandra J. Magana, Purdue University Alejandra J. Magana, Ph.D., is the W.C. Furnas Professor in Enterprise Excellence in the Department of Computer and Information Technology and Professor of Engineering
Paper ID #41998Engineering Doctoral Students’ Expectations, Reflections, and Concerns RegardingFuture in AcademiaOmar Jose Garcia, University of Oklahoma Omar Garcia is an undergraduate Aerospace Engineering student at The University of OklahomaDr. Javeed Kittur, University of Oklahoma Dr. Kittur is an Assistant Professor in the Gallogly College of Engineering at The University of Oklahoma. He completed his Ph.D. in Engineering Education Systems and Design program from Arizona State University, 2022. He received a bachelor’s degree in Electrical and Electronics Engineering and a Master’s in Power Systems from India in 2011
Paper ID #42465The Impact of Diaries and Reflection on Self-Assessments of Learning in aFirst-Year Undergraduate Engineering Design CourseSerena Mao, Harvey Mudd CollegeDavid Chen, Harvey Mudd CollegeMagdalena Jones, Harvey Mudd College Magdalena, a senior at Harvey Mudd College studying Computer Science and Mathematics is dedicated to working at the intersection of many fields. This project was a treat to work on and she is very proud to have been a part of it!Aye Mon Htut-Rosales, Harvey Mudd CollegeDr. Laura Palucki Blake Laura Palucki Blake is the Director of Institutional Research and Effectiveness at Harvey Mudd
Paper ID #43585WIP: Exploring the Effects of a Purpose-in-Life Reflection Activity in anIntroductory Artificial Intelligence CourseTrini Balart, Texas A&M University Trinidad Balart is a PhD student at Texas A&M University. She completed her Bachelors of Science in Computer Science engineering from Pontifical Catholic University of Chile. She is currently pursuing her PhD in Multidisciplinary Engineering with a focus in engineering education and the impact of AI on education. Her main research interests include Improving engineering students’ learning, innovative ways of teaching and learning, and how
Self Awareness Jasmine Smith, David J. Therriault, Jeremy A. M. Waisome Department of Engineering Education, University of Florida School of Human development and Organizational Studies in Education, University of FloridaPurpose: Self-awareness is an umbrella term that encompasses concepts including self-reflection, introspection, insight, self-regulation, and self-efficacy, among others. These termsare independent of each other but work together to contribute to the overall self-awareness of anindividual. For a graduate student researcher, their self-awareness level can influence how theyengage with their discipline and research
development of communities to support well-being.Lesley Baradel, Georgia Institute of Technology ©American Society for Engineering Education, 2024Applying Personal Strengths: Building Well-being and Resilience Strategies in an Undergraduate Wellness CourseAbstractSupporting and increasing students’ well-being and resilience will positively impact theiracademic success. In this study, we analyze students’ reflections in a newly designed health andwell-being course to see how they demonstrate embodiment of the course learning objectives,knowledge, and skills.In Summer 2021, the Effective Team Dynamics Initiative, in collaboration with Georgia Instituteof Technology (Georgia Tech) School of
Paper ID #43928Promoting Equity and Cognitive Growth: The Influence of an AuthenticLearning Assignment on Engineering Problem-Solving SkillsDr. Boni Frances Yraguen, Vanderbilt University Boni Yraguen is an Instructional Consultant with the Vanderbilt Center for Teaching. Boni is passionate about engineering education. She has led and participated in various educational studies on the impact of student reflections, authentic learning assignments, the use of technology in the classroom, and graduate education.Elisa Koolman, University of Texas at Austin Elisa is a Ph. D. student at the University of Texas at Austin. They
) rubricsproposed by The Association of American Colleges and Universities (AAC&U) were used tointegrate the intercultural component into the course. We describe the pedagogical design of thecourse, training sessions, role of teaching assistants, online modules, and reflection activities thathelped students to become cognizant of intercultural competence. The guiding research questionsfor our study are: i) How do first-year cyber security students self-identify in terms ofintercultural competence? ii) What is the nature and strength of the relationships betweendifferent dimensions of intercultural competence as measured by the ASKS2 Scale among first-year cybersecurity students? iii) What are the perceptions of students regarding the
Paper ID #43214An Emerging Methodological Toolkit to Support Design of Problem-BasedLearning Environments: Connecting Problem Characteristics and KnowledgeTypesDave Mawer, University at Buffalo, The State University of New YorkDr. 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 University 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
developing feedback literacy. The framework also draws from Nicol and Macfarlane-Dick's [20] principles of good feedback practice, emphasizing the role of peer and self-assessment in feedback processes. In the context of Scrum, this dimension reflects the framework's collaborative nature, where feedback sources are not limited to the traditional instructor-student dynamic but include peers and self-reflection [22]. 2. Feedback Timing: Timeliness in feedback is highlighted by Hattie and Timperley's [19] model of effective feedback, which emphasizes the importance of immediate feedback in learning processes. This aspect is mirrored in the Scrum methodology, where regular sprint reviews and retrospectives [23] provide
narratives, storytellingevokes strong emotions and imparts significant insights while translating private experiencesinto publicly negotiated forms [11]. As such, storytelling has been recognized as a tool forenabling learning as well as a tool for sharing experiences within a community of practice [1]. Inour work we extend this by partnering with undergraduates to share their stories more broadly.Storytelling enables the storyteller to adjust the narrative according to the situation, putting themin charge of what they want to say and how they want to say it.Beyond the professional community and body of knowledge in engineering education, students'experiences, and their reflections on their experiences can potentially transform
reflect further on themethodology and its potential for use in other engineering education research. Throughout thecase study section of the paper, we will use the terms we and the researchers to refer to the twoauthors of this paper and the participants to refer to the two people enrolled in our study. Outsideof our positionality statements, I will refer to the first author of this paper, Alexis Gillmore.Case study: Representing Researcher Identity with I-poemsResearch ContextIn the work presented here, we aimed to learn how members of an interdisciplinary researchteam represent their identities as researchers within the team. We expected that the participant-generated I-poem method we employed would lead to unique results compared to
) framework to actively promote research quality.Our reflection data illustrate how numerical reporting conventions, formative life experiences,and professional aspirations can all affect a young engineer's perception of the relevance ofvariability. We conclude with a discussion of implications for instructional practice.IntroductionVariability—the phenomenon of non-identical values—is core to modern science. The movebeyond calculating averages to the study of real variation is one of the most important scientificdevelopments of the 19th century [1]. Ernst Mayr [2] positions variability as fundamental tounderstanding evolution through “population thinking.” Statistics as a discipline exists in largepart to develop techniques to study variability
found videos to be an effective andefficient way to share material that would allow any instructor to teach the module with limitedtraining. The first video was a short summary of Module 1 outlining teamwork skills, the stagesof team formation, and a team charter. The video helped students recall the information theylearned the previous year and linked it to Module 2.Before the second video, the class engaged in a discussion prompted by the question: “Whatfactors affect effective team communication?” This encouraged individual reflection and primedthe students to learn more about communication. The ten-minute video developed by Dr. CarlosCorleto, a member of our team, was then shown. Dr. Corleto shared that the number one reasonteams fail is
local community while producing experiences and artifacts that allow us to developengineering education theory [12].MethodsIn this work, we borrow from aspects of autoethnography as a methodology for analyzing ourself-reflections [13], video, survey responses, and field notes. We reviewed these data sources forevidence of refinement of practice and the ideology of engineering education graduate studentsand researchers. We borrow from aspects of autoethnography and thematic analysis. However,our analysis is broad at this stage. We use aspects of thematic analysis to look for commonoccurrences across our work and artifacts [14]. In this section, we will briefly describe each ofthe research studies we have done, the types of data we collected for
and other learning activities in engineeringcourses. In recruiting interview participants, we strategically oversampled for marginalizedracial/ethnic and gender identities to ensure diverse perspectives. During the interview process,we observed that student participants reflected on their strengths and connected them to theirwork in and beyond engineering courses, suggesting the potential of APPI to be used both as anasset-based pedagogical intervention and as a research method for collaborative sense-makingwith students about their experiences. We believe that students were able to better recognize andactivate their assets because of APPI’s roots in social constructivism, which enables participantsto engage in collective inquiry and dialogue
considered at the institutional level. On top of pursuing a collegeeducation, these students have to balance work and family. The main goal of this research is tounderstand how institutions can meet nontraditional students where they are and be supportive oftheir collegiate endeavors. The study is guided by the following research question: what are theexperiences of nontraditional students in engineering with university support systems?We utilized various data sources such as journal reflections, interviews, and participatory designto triangulate our research. Most recently, we conducted a participatory design session to createpersonas of nontraditional students in engineering with actual students who are living these lives.These personas can then
teamwork in URPs, as well as the methods and processesthat students use to manage teamwork effectively.Methods: The study was conducted in a 10-week summer, full time, onsite REU program at alarge Midwestern University. Fourteen students from all over the US worked in teams on avariety of research projects in the fields of engineering and applied energy at the host university.At the end of the program, the students completed a guided reflection, and the collected data wasthematically analyzed to reveal perceptions about their experiences working as a team.Results: Students reported diverse strengths in teamwork, such as the importance of differingperspectives and experiences, positive mentorship dynamics, and the value of adaptability andeffective
. Participantsfound it difficult to extend their goals because graduation was so far away and there were fewopportunities for reflection within their programs. Implications from this work will help students,faculty, and administrators begin conversations about student goals and encourage students toengage in reflective practices to determine the value of the doctoral degree for them along withwhether their courses and research align with their goals.INTRODUCTION & LITERATURE REVIEW Attrition is high in engineering graduate programs. The 10-year completion rate forengineering PhDs is only 60% depending on the discipline [1], with attrition rates at approximately35% for women, 24% for men, and as high as 57% for African American engineering
multipleevidences that support each proposed interpretation and use. The concept of reliability reflectshow consistently the instrument measures what it is designed to measure—in other words, howmuch the scores are consistent [1], [7]. Finally, fairness is about considering and avoiding thedifferent ways the instrument might be biased against or in favor of certain groups, both in termsof how they are scored and how the scores might impact groups differently [8]. These threeconcepts are important when considering the development of an instrument because evidences ofthese concepts can ensure that the information one gets from the instrument are relevant for awide population and that it actually reflects what it is intending to measure [5].With the rise of
method of teaching, which emphasises memorization and standardised testingthrough lectures, rote learning, and memorization, may impede the development of criticalthinking, problem solving, and creative thinking skills that are essential in everyday life. Inaddition, the conventional teaching methods can be monotonous and inflexible, which cancause students to lose interest and motivation in their studies. To make students more attentivein class, students centered approach need to be implemented.Variety of instructional strategies are in practice to engage the students in learning, to enhancestudent learning, and also to provide opportunity for students to reflect on their learning. Onesuch student-centered instructional strategy is Process
’ intendedresponses and may not be drawing adequate conclusions from their results. This study uncovershow undergraduate engineering students, predominantly of Latinx backgrounds, reflect upon thestatement “I see myself as an engineer” and the justification they provide to explain their timeperspective. Specifically, this study will focus on answering the following research question: Inwhat ways are students reflecting on the question “Do you see yourself as an engineer?” and why?Theoretical FrameworkEngineering Role IdentityOur conceptual understanding of engineering identity begins with the theory of role identity. Arole identity is based on an individual’s social position and is defined by the meanings andexpectations associated with the role in a given
Boomer is a graduate student completing his master’s degree in aerospace engineering at the University of Michigan. His focus in engineering education research has been towards bridging the gap between the undergraduate engineering curriculum and engineering industry practice.Cindy Wheaton, University of MichiganDr. Aaron W. Johnson, University of Michigan Aaron W. Johnson (he/him) is an Assistant Professor in the Aerospace Engineering Department and a Core Faculty member of the Engineering Education Research Program at the University of Michigan. His lab’s design-based research focuses on how to re-contextualize engineering science engineering courses to better reflect and prepare students for the reality of ill-defined
Paper ID #42409Exploring Variance in Undergraduate Research Participation: A Quantitativeand Qualitative Investigation among Students with Differing Levels of InvolvementDr. 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 University 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 undergraduates as they
, 1971). By acquiring multiple sources of information about the sameevent occurring in a social setting, researchers can integrate and triangulate these data, enhancingthe analysis’ depth and accuracy. Therefore, in this research project, the researcher engaged inextensive first-hand observation in classroom settings throughout the semester, collectedstudents’ written responses reflecting their class, and conducted open-ended interviews designedto validate our findings with students’ perspectives. Second, investigations of instructors’ pedagogical practices in naturalistic settings, versusin a laboratory or through lab-based experiments, can yield different findings (Le Compte &Goetz, 1982). Indeed, identifying instructor’s
Engineering. Her dissertation research broadly focused on global issues related to sustainable waste management and plastic pollution. After earning her PhD 2021 from the University of Georgia, Amy developed skills in qualitative research methods in engineering education at Oregon State University. As part of this training, she used interpretative phenomenological analysis (IPA) to examine engineering faculty well-being and collaborated on the development of a reflective tool for researchers to build skills in semi- and unstructured interviewing. Building on her postdoctoral training, Amy aims to merge her methodological interests to pursue research questions in the nexus of engineering education, sustainable development
people working at such high levels of Iron Range Engineering gave me the chance to prove what I can do and feel like I am capable of being an engineer (Student 6, para. 2)Student 3Student 3 was a participant who only made connections between four of the framework elements(no mention of Knowledge) and showed limited connections between those that were mentioned.Their co-occurrences happened less frequently than those in Students 6 and 10’s reflections. As areminder from Table 2, student 3 mentioned Skills, Values, and Epistemology in 40% ofparagraphs and Identity in 100%. This correlates with the size of the nodes in Figure 4.Four out of the five paragraphs in Student 3’s
Exams as growth opportunity X critically. When they're getting information Extend examples to new problems X X from the teacher, they don't have to think Having students take roles X critically about it because the teacher said Learning from peers X X it. It must be right, you know. More problems are better X XTo operationalize this resource, Avery More time on topic = more learning X Negotiate confusion Xprovided class time for students “to set up the Reflective thinking of
in a multimediaenvironment. Considerable cognitive processing is required for a meaningful learning experiencespecifically in a multimedia environment, which can exceed the limited capacity of workingmemory [25]. Thus, multimedia design principles have been proposed for combining texts,pictures, audio and animations, as well as other guidelines such as providing opportunities forfeedback, reflection and controlling the pace of the presented material [25], [26]. Theseguidelines can help design XR environments to prevent cognitive overload for students.Experiential learning considers learning by doing. According to Kolb [27], learning involves fourstages of concrete experience, reflective thinking, abstract conceptualization and
). Comprehending and acknowledging the subtletiesof student effort is essential for educators, researchers, and institutions seeking to elevate theoverall quality of the educational experience. At its core, student effort involves the commitment and diligence demonstrated bystudents in their academic endeavors (Shu, 2022). This commitment manifests in various forms,including time spent on studying, engagement in coursework, active participation in classdiscussions, and the pursuit of additional learning opportunities (Khachikian et al., 2011; Shu,2022). The quantitative dimension of student effort is often reflected in the number of hoursdedicated to academic tasks, the thoroughness of preparation, and the consistency of work habits(Berland &