employ a qualitative methodology calledInterpretative Phenomenological Analysis (IPA), which allows for a detailed exploration of theparticipants' experiences. This method involves organizing and preparing the data, reducing it to keythemes, and interpreting it through discussions and visual representations which is a similar analyticalapproach commonly found in qualitative research [14]. The data analysis will follow a structured process:managing and organizing the data, reading, and noting emerging ideas, describing and classifying themes,developing interpretations, and visualizing the data. In addition to IPA, the research methods will includecertain aspects of reflective lifeworld research [15]. The research will address the following
completion of the activity and/or demo. • Completing focus groups with students not in the design group to see if their activity is pedagogically beneficial. • Developing protocols for implementation of the activity and/or demo for faculty and graduate students to teach in their classes.All teams presented their final prototype via poster and a demonstration at the College ofEngineering’s capstone design symposium as well as a final oral presentation in class.Student Authors’ ReflectionsOur team was brought together in our senior Chemical Product Design course. We were joinedby our collective interest in creating a product related to undergraduate chemical engineeringacademia. During initial brainstorming, we reflected on our
reflections areshown in Figure 5 with the list of questions in the table below. Based on the survey students'confidence in being a tissue engineer averaged 4.15 ± 0.38. Also, students’ confidence in designinga tissue engineering bioreactor averaged 4.15 ± 0.80. Students' confidence in using the maker spaceand their tools in other projects, like a capstone or senior design project, averaged 4.77 ± 0.44. Thenext question surveyed students' opinions about themselves being good at engineering andaveraged 4.0 ± 0.82. When we asked students about their confidence in applying their theoreticalknowledge in tissue engineering the responses averaged 4.23 ± 0.44. Next, we asked about theirability to work in a team to accomplish a goal, the results averaged 4.77
Collegesand Employers (NACE) Career Competencies framework into engineering courses. More thanthree quarters of engineering students are seeking career advancement or career changes withengineering degrees. The integration of NACE Career Competencies helps translate ABETstudent outcomes into practicable career readiness strategies. The courses used projects andguided reflection students to practice eight career competencies: Career and Self Development,Communication, Critical Thinking, Equity and Inclusion, Leadership, Professionalism,Teamwork, and Technology. Preliminary observations from student reflections and advisinginterviews suggest students are intrinsically motivated to connect course exercises to careercompetencies. This study provides a
Conference Table 2. Round 2 Piloting Process Note Change The protocol did not spark much reflection among A question was added: “If you could ask your future the participants. self who has already completed the course a question about Statics, what would you ask?” Participant 3 mentioned their anxiety about the Additional questions were added to the section on course and its anticipated challenges. well-being and outside commitments. When asking participants about their engineering The question was moved to an earlier section. story
community. The multi-tiered mentoring community provided them access topeer, graduate student and faculty mentors the students could seek out for representation,guidance and encouragement throughout the program. A presurvey indicated that the students didnot feel confident in their technical skills coming into the program, and a survey following theirinternship experience reflected a significant increase in their perception of their skills. Freeresponse question answers highlighted the program’s value to the students related toskills/experiences they obtained and their knowledge of biotechnology careers. Overall, thedesign of the program successfully provided community college students with a foundation topursue a STEM degree as well as a pathway
effectivenessin streamlining grading and reducing the time required for grade finalization.Future WorkThe paper concludes with a reflection on the potential of these AI tools to contribute to theongoing discourse on peer assessment and grading in educational settings. While the study is inits preliminary stages, it opens up avenues for further exploration and enhancement of thefindings. Future work will focus on examining discrepancies between student-provided reviewsand sentiment analysis output, the impact of modified peer feedback on student performance, andquantifying the efficiency gains achieved by using AI-highlighted reports. The paper underscoresthe promising role of AI in augmenting human input, transforming educational practices, andenhancing
Faculty Communities Exploring Data and Sharing Their StoriesMotivation and Project OverviewThis NSF Improving Undergraduate STEM Education (IUSE: EHR) Institutional andCommunity Transformation (ICT) capacity-building project is designed to support faculty tocollaboratively explore questions on student learning and success in introductory and gatewayundergraduate STEM courses, such as early engineering courses as well as prerequisite math andscience courses. The project is motivating faculty to consider evidence-based teaching strategiesby including them as co-designers of learning analytics tools and storytellers inspired by the dataand their reflections. Learning analytics uses data about learners and learning to draw
engineering course Itook. In this course, students were put into groups and had to complete an engineering task (inmy case, build a simple robot); however, the class’s primary learning outcomes focused on non-technical concepts like engineering ethics, which made this course like a mini capstone wherestudents had to find the information themselves to complete their projects. Reflecting on thisproject, I realized that researching and building circuitry for robots was the primary reason forselecting Electrical Engineering. Therefore, when I look at the department’s RED program, I seea similar ideology: an attempt to teach students more about the professional side of engineeringand empower students to take responsibility for learning. I still have not
environment (Sonawane et al., 2021, p. 9). Fromthe student perspective, mentees experience a sense of belonging, productive goal setting,feelings of accomplishment, and emotional support (AuCoin & Wright, 2021, pp. 610-611).Moreover, participants in one study reflected that faculty mentoring was “more helpful thanother interventions” serving as a “crucial opportunity to learn about science, scientists, andscientific process…” (Ceyhan et al., 2019, p. 258). Chelberg and Bosman (2019) found facultymentorship to be especially impactful to underrepresented STEM students as it aided in their“development, retention, persistence, and navigation of the postsecondary setting” (p. 45).Zeller’s et al. (2008) research further emphasizes that mentoring
/controversial topics c. Reflect upon their own professional identity and personal ethical values and the intersection with the discipline 3. Demonstrate ethical decision-making. 4. Demonstrate societal awareness through an ability to identify needs, challenges, and problems in a local, regional, and global context. a. Engage as a citizen leader professionally and academically b. Demonstrate engagement in professional societies c. Demonstrate the consideration of social justice in decision-makingD. Teamwork, Leadership, and InclusivityProgram Goal: The successful student will be able to contribute to a successful team by takingon different roles within the team, and through creating a collaborative
education from teachers' perspectives. Moreover, the articles focused onlyon K-12 education were peer-reviewed articles and should be available in full text. We includedthose studies published between 2020 and 2024. This publication range was chosen to reflect themost current AI applications and practices being used in educational contexts and to capture thelatest related best practices. We then established exclusion criteria to omit any study that failed tomeet inclusion benchmarks. These included studies that were non-empirical, outside thespecified timeframe, and not written in English. Each selected study was initially evaluated forits relevance to the topic through reading the titles and abstracts, ensuring it met the qualitystandards
thepersistence of students enrolled in a minority-serving institute in STEM majors and themotivation to pursue a STEM career, particularly in careers at the human-technology frontier.References[1] World Health Organization and United Nations Children’s Fund. Global report on assistive technology. World Health Organization, 2022.[2] A. Manduca, E. Iverson, M. Luxenberg, R. Macdonald, D. McConnell, D. Mogk, and B. Tewksbury. Improving undergraduate stem education: The efficacy of discipline-based professional development. Science Advances, 3(2):e1600193, 2017.[3] K. Shinohara, N. Jacobo, W. Pratt, and J. Wobbrock. Design for social accessibility method cards: Engaging users and reflecting on social scenarios for accessible design
the student,rather on the instructor as the case with the traditional form of leraning [4]. This has brought asignificant improvement during the learning process of many students. Active learning is apedagogical tool that has helped promote ‘students’ cognitive capabilities when it comes tomastery of the content [5]. Meaningful conversations, proper reflection, and content mastery areproducts of this learning mode [6].Experiment-centric-pedagogy (ECP), an instructional technique that facilitates activite learning,offers an alternate route for acquiring technical skills and information both inside and outside ofthe classroom. ECP enabls students with different learning styles to learn at their own pace and intheir own settings. Instructors
students’ agentic engagement, self-efficacy, growth mindset, and other related aspects. 1In recent years, there has been increasing attention paid to students’ epistemic beliefs and theirimpact on learning efficacy. Epistemic belief, which reflects students’ views on the nature ofknowledge and knowing, plays a crucial role in the cognitive, metacognitive, and affectivedimensions of students’ learning. Research has demonstrated that interventions targeting epistemicbeliefs can significantly enhance learning outcomes (Greene et al., 2018). Epistemic cognition -mostly measured in terms of belief (Greene et al., 2018) – is identified as the apex of
, which is our desired result of the relevant cognitive load.This theory was used in designing the instructional modules for the course where experiment-centric pedagogy was implemented, as shown in Figure 2. 1. Information 2. Purpose of the 3. Instructional module Process 4. Reflection about the module a. Module Title a. Questions a. Materials needed a. Reflection b. Placement within the b. Module objectives b. Procedures curriculum c. Formative assessment c. Primary/ Secondary audience d. Summative assessment d. Standards
durability of the optimal treatment at different temperatures. Applying thetreatment at different temperatures will assess the durability of it in natural environmentaltemperature conditions (extreme temperatures and day/night temperature changes).The impact that this project may have on whether or not students consider previous majorchoices and decide instead to pursue an engineering major has not yet been assessed.AcknowledgementsThanks are given to our students, colleagues, partners, and institution for their supportand for making this educational intervention possible. This work is supported by NSFgrant HRD-1832547 (STEM-CURE Program). Any conclusions or recommendationsstated in this paper are those of the authors and do not necessarily reflect
engineering at the level of college algebra.Enrollment in the Introduction to Engineering Reasoning course occurred during the new studentorientation events that were scheduled during the summer months prior to the beginning of thefirst school semester. 3Metacognitive Intervention The metacognitive intervention was based on three major components: a conceptualintroduction to important concepts related to self-regulated learning, prompting of metacognitivemonitoring during problem-solving, and reflection-on-learning activities. The design andimplementation of the intervention work was based on Zimmerman’s self-regulated learningmodel and
. Sunghwan Lee1, and Dr. Daniel Leon-Salas1 1 Purdue University (West Lafayette, IN, USA) * Corresponding Author (lbosman@purdue.edu)1. IntroductionThe NSF REU Site program context was entrepreneurial development and applied energy researchwhere participants were introduced to a graduate school like experience by simultaneously gainingentrepreneurial training via customer discovery interviews, market analysis, and patent research,and at the same time conducting lab research within the energy field.Data collection methods included weekly photovoice reflections, retrospective surveys, and focusgroups. The focus of data collection was to assess student
Mathematics(STEM) fields, and developing a diverse, skilled workforce for STEM careers.Annually, the National Science Foundation (NSF) awards approximately 170-190REU grants. The funding for REU sites often reflects current trends in research.Our study aims to examine REU sites’ contributions in terms of scholarlypublications and student training over the past six years. Additionally, we explorethe research themes of these REU sites and compare them with those in the Webof Science (WoS) database.The NSF award database provides details about 3,500 REU awards, includingproject titles, abstracts, funding periods, and NSF directories. All REU awardinformation is reformatted into the WoS citation format for thorough analysisusing a literature analysis
about the students who were interviewed; note thatthe gender and race/ethnicity were free response questions in the application form, so thecategories chosen reflect participants’ self-designation. Participant Gender Race/Ethnicity 1 Female Hispanic 2 Female White 3 Male Hispanic 4 Male Asian 5 Female White 6 (Transgender) Female Caucasian 7 Male White
-efficacy and engineeringidentity, thereby facilitating the transition of LIAT undergraduates to graduate-level programs;and (3) it aspires to cultivate leaders proficient in technology, entrepreneurship, and innovation,who will contribute to and fortify the economy of the South Coast of New England—a regionnoted for its diversity and post-industrial economic challenges marked by significant poverty.ResultsIn its inaugural year, the AccEL program generated a large applicant pool, with 46% of eligiblestudents applying, the cohort included 8 eligible female students and a substantial number fromunderrepresented racial/ethnic backgrounds. Eight M.S. students were successfully recruited intothe first cohort of AccEL S-STEM scholars, reflecting
highlighted the increased sense of communitythey felt with their peers. Interviews highlighted how students reconsidered their professionalidentity within the major when they spoke about their feelings relating to imposter syndrome andhailed this as a unique opportunity in their engineering education to reflect on their engineeringidentity and purpose in the field. Students indicated it influenced their sense of belonging asthey talked about how participation in this workshop and story performance challengedstereotypes and broadened their perspective of what it means to be an engineer and whichtypes of people get to become engineers. Students experienced a boost in confidence in boththeir writing and public speaking abilities and a result of sharing
engineering education broadly andpedagogy specifically.This study presents an overview of ongoing efforts to integrate GAI as a pedagogical tool at aLand Grant R1 University on the East Coast of the United States. Also, we are hoping to collect awithin-case study of instructors who have successfully implemented artificial intelligence in theirclassrooms and course design. Data will be collected from the instructors through classroomobservations and interviews on their classroom implementation. These will be thematicallyanalyzed. Also, a deep exploration of students' learning experiences using the GAI will beconducted using focus group discussions and end-of-the-semester reflection. Other data sourcesthat will be thematically analyzed include the
antipatterns, once specified, have zerofalse positives or negatives across languages. Total coverage will be evaluated per languageby the reduction of language-specific regex use.AcknowledgementsThis work was funded by the National Science Foundation award #2142309. Any opinions,findings, and conclusions or recommendations expressed in this material are those of theauthors and do not necessarily reflect the views of the NSF.References[1] L. C. Ureel II and C. Wallace, “WebTA: Automated iterative critique of student programming assignments,” in 2015 IEEE Frontiers in Education Conference (FIE), pp. 1–9, IEEE, 2015.[2] L. C. Ureel and C. R. Wallace, “WebTA: Online Code Critique and Assignment Feedback,” in Proceedings of the 49th ACM Technical
mentalrotation and spatial visualization, and the Purdue Spatial Visualization Test: Visualization ofRotations (PSVT:R) which measures mental rotation.Throughout recent years, a large number of new or adapted spatial ability instruments have beendeveloped to reflect more diverse populations involved in spatial ability research. Thissystematized literature review provides a synthesis of how valid and reliable spatial abilityinstruments measure specific constructs of spatial thinking. This work is guided by the followingresearch questions.1. How do existing spatial ability tests measure spatial thinking?2. How do spatial ability instruments available in the literature demonstrate validity andreliability?Positionality StatementThe first author is a
convey their values and goals. Meaningfulcollaboration between engineers and community partners can empower students, but superficialengagements may undermine their transformative potential. This research uses signaling theoryand the Fitzpatrick Skin Type Scale to assess whether local diversity is reflected on websites andunderscores the importance of diversity representation for credibility in environmental advocacy,offering a valuable approach for educators seeking authentic community partnerships.Key words: Diversity, representation, community partnershipsIntroductionAcross many fields of education, leveraging organizational websites proves instrumental incultivating connections and diversifying partnerships for faculty and students
previously mentioned topics throughout the semester and plan to test their dilemmas effectively MCQ quiz from the baselineefficacy next fall. We will first administer a baseline quiz at the beginning of the • BMED can present complex ethical challenges for BME questions. Open-endedsemester and then an end-of-semester quiz to assess the lab managers’ freshmen and LMs must be prepared to navigate these reflection question for eachunderstanding of the topics presented. We
prompt ex: something you saw that gave you a glimpse of what needs work to help this community’s future live up to its promise. 2. In each Story Circle, once everyone has had a chance to share a story, the group reflects together on what was revealed. 3. When people return from their small groups to the group of the whole to share what they’ve experienced, leaders will have an opportunity to synthesize what folks have learned into a shared intention. 4. Try this: when you bring the Circles back together into a group of the whole, instead of a detailed report- back (e.g., “someone said this, then someone said that”), ask a representative from each Circle to add to a list of values or covenants for local cultural
transfer students. Majority of students in both cohorts are first- reflects the program's success in nurturing a supportive community where students can thrive academically and socially. generation (i.e., first in the family to attend college), historicallyMission Statement underrepresented minorities, and/or from low-income Transfer students place more value on industry and professional development with 63.3% in 2022 and 70.8% in 2023. Interpersonal