informal interactions between students and faculty. Our research uses Driscoll et al.'s[14] student-faculty interaction assessment model to evaluate students' sense of belonging,incorporating Likert-scale questions and free-response inquiries to capture nuanced aspects oftheir experiences. By focusing on both immediate and lasting impacts, our investigation seeks toidentify improvements in students' perceptions and assess the sustainability of these positiveoutcomes over time.This study contributes to the broader discourse on student engagement, community building, andretention strategies in engineering or higher education in general with the translation from BMEeducation. The findings not only provide insights into the effectiveness of informal
,findings could inform guidelines and professional development for faculty and administrators onfacilitating constructive race dialogues among student populations. Outreach targeting familiesand communities may also be warranted to align messaging across spaces. Future work can delvedeeper into student backgrounds including where students spend their formative years and thetype of college they currently attend.References[1] K. Lajtha and S. Saini, “Biogeochemistry statement on #ShutDownSTEM and Black Lives Matter,” Biogeochemistry, vol. 149, no. 3, pp. 237–237, Jul. 2020, doi: 10.1007/s10533-020- 00682-7.[2] N. Subbaraman, “How #BlackInTheIvory put a spotlight on racism in academia,” Nature, vol. 582, no. 7812, Art. no. 7812, Jun. 2020
within interdisciplinary tracks may have difficulty navigating the epistemologicalassumptions and expectations of their professors.Conceptual framework In our study, we adopt a modified typology of epistemologies expressed in Cruz et al.’s(2021) work on student epistemologies. While they acknowledge that it is difficult to list allepistemologies (and that what precisely counts as an epistemology is contested), they provide auseful framework for this study. Specifically, they highlight nine epistemological positions: Positivism: A belief that there is an objective truth that can be discerned throughscientific methods. Knowledge is gained by understanding that objective truth. Post-positivism: A relaxed version of positivism
Ensure code quality through automated continuous testing.Data Collection and AnalysisTo examine how the semester-long experience impacted students, we regularly requestedstudents to reflect on the learning experience. After each SET lesson, we asked the followingfour reflection questions: - What is/are the most important concept(s) you have learned? - How will you use the skills you have developed from this workshop for your project? - What might be the challenges or barriers to implementing ideas from this workshop? - What support would be helpful to have in implementing ideas from this workshop?At the end of the semester, an exit survey was conducted with the following questions: - What was the most useful thing you have learned
experiences.Future research should consider exploring teamwork dynamics in diverse URPs across differentgeographical and disciplinary contexts to generalize the findings as well as compare teamworkexperiences across various URPs to understand the impact of different institutional cultures andprogram structures. Additionally, longitudinal studies could offer a deeper understanding ofhow teamwork skills developed in URPs impact students’ professional careers. References[1] K. W. Bauer and J. S. Bennett, “Alumni Perceptions Used to Assess Undergraduate Research Experience,” J. High. Educ., vol. 74, no. 2, pp. 210–230, 2003.[2] D. Lopatto, “Undergraduate Research Experiences Support Science Career Decisions and Active Learning,” CBE—Life Sci. Educ., vol
fiveundergraduates identify as disabled [11]. Yet, in engineering such substantive data is almostentirely unavailable. The National Science Foundation (NSF)’s 2023 Diversity and STEM:Women, Minorities, and Persons with Disabilities report states, “compared with data for othergroups, data on postsecondary degrees earned by persons with disabilities are limited” [1] and assuch, provides no data on disabled engineering undergraduate students and diminutive data ondisabled engineering doctoral students. Whether it be funding, available statistics, access, orsupport, the lack of care toward disabled students in engineering is apparent and intentional [12]–[16].This paper explores the availability of data for disabled students in postsecondary engineeringprograms
components (usedefinitions below)? (Note: the percentages should total 100--do not type % sign, just numbers).Enter 0 for a component if not a part of your course grade. NOTE: Please be as accurate aspossible, but exact percentages are not necessary if you can provide a good “ballpark” number. Attendance Class participation (beyond just attending) Final exam - deliverable that is normally expected to be completed by an individual student at the end of the course, but may involve group work. Typically covers multiple modules of a course, often cumulative. Midterm(s)/Exam(s) - deliverable that is normally expected to be completed by an individual student, but may involve group work. Typically covers multiple lessons
, “Software Carpentry: Getting scientists to write better code by making them more productive,” Computing in Science & Engineering (CiSE), vol. 8, no. 6, pp. 66–69, Nov. 2006. [8] A. Simperler and G. Wilson, “Software Carpentry – get more done in less time,” arXiv:1506.02575, Jun. 2015. [9] B. K. Weaver, “The efficacy and usefulness of Software Carpentry training: A follow-up cohort study,” Master’s thesis, The University of Queensland, 2019.[10] A. Berg, S. Osnes, and R. Glassey, “If in doubt, try three: Developing better version control commit behavior with first year students,” in ACM Technical Symposium on Computer Science Education (SIGCSE), Feb. 2022, pp. 362–368.[11] V. Garousi, G. Giray, and E. T¨uz¨un, “Survey of the
+ stress OR Latin* student + stress OR Indigenous student + stress”, “Black student + distress OR Latin* student + distress OR Indigenous student + distress”, “Black student + trauma OR Latin* student + trauma OR Indigenous student + trauma.”To appropriately scope the literature review, we used multiple exclusion criteria. First, anyliterature focusing on faculty, graduate students, or postdoctoral students was omitted. Second,literature published before the year 2000 was excluded as much has changed in the field oftrauma studies since the 1990’s. Lastly, any guest editorials or conference proceedings that didnot include a paper were excluded from the literature review.After an initial search through the journal databases, we screened the
Paper ID #42723Board 157: Design of a Geospatial Skills Camp for Rural Youth (Work inProgress)Dr. Jeanette Chipps, Montana State University Jeanette Chipps is an assistant teaching professor at Montana State University and the educator professional development lead at the Science Math Resource Center.Suzanne G Taylor, Montana State UniversityDr. Nicholas Lux Lux, Montana State University Dr. Nicholas Lux has is an Associate Professor of Curriculum and Instruction in MSUˆa C™s Department ˆ He has of Education. His teaching and
Commendation Medal for his work troubleshooting and repairing the Moored Training Ship 635’s reactor and electrical distribution faults. Following his transition from active duty, Bryan earned his PhD as a member of both the Computation and Advancement of Sustainable Systems Lab, where he developed a new method for distributed system demand estimation, and at the Sustainable Design and Manufacturing lab, where his work focused on increasing System of System resilience. Bryan’s work has been published in the Journal of Industrial Ecology, Journal of Mechanical Design, and IEEE’s Systems Journal. At Embry-Riddle, Bryan’s current work is focused on investigating the use of biologically inspired design to increase the
curriculumdesigners to develop AI education programs that are not only technologically advanced but alsoethically informed and culturally sensitive. Addressing the identified gaps and advocating forresearch in underexplored areas will be crucial in shaping a future where all students are well-prepared for the AI-driven world.Table of ContentsAbstract1. Introduction2. Background 2.1 The Emergence of AI in Education 2.2 Integration of AI Literacy 2.3 AI4K12's Five Big Ideas3. Methods 3.1 Planning the Review 3.1.1 Identifying the Need for the Review 3.1.2 Specifying the Research Questions 3.1.3 Developing the Protocol for Review 3.2 Conducting the Review 3.2.1 Search Strategies
24 25 24 25 25 25 27 27 272018 29 28 29 24 25 25 25 25 25 27 27 272017 29 27 28 23 24 24 24 25 25 27 27 27Relationships between Spatial Skills and Semantic and Phonemic FluenciesResearchers conducted a study that examined verbal skills, spatial skills, and their relation toproduction of hand gestures [23]. In that study, verbal skills were categorized as semantic, thesize of vocabulary, and phonemic, how effectively an individual can form a cohesive sentence.For example, a semantic task would ask the participant to name animals, and a phonemic taskwould ask the participant to name words that begin with the letter “s.” These tasks are normallytimed (e.g
, comparative studies that assess theefficacy of various game-based learning tools could provide deeper insights into their respectiveimpacts on student learning and skills development. Investigating the long-term retention ofskills acquired through such interactive learning experiences could also offer significantcontributions to the field.References[1] Bidabadi, N. S., Isfahani, A. N., Rouhollahi, A., & Khalili, R. (2016). Effective teachingmethods in higher education: requirements and barriers. Journal of advances in medicaleducation & professionalism, 4(4), 170.[2] Cruz, M. L., Saunders-Smits, G. N., & Groen, P. (2020). Evaluation of competencymethods in engineering education: a systematic review. European Journal of
factors overscientific or theoretical knowledge, implementing targeted interventions, thus adjusting theinstructional approach and refining the use of the tool. These efforts aim to strengthen theanalysis of the lesson design’s impact on learning outcomes and explore the potential integrationof emerging technologies for enhanced effectiveness in specific educational contexts.References [1] C. Vieira, R. Aguas, M. H. Goldstein, S. Purzer, and A. J. Magana, “Assessing the impact of an engineering design workshop on colombian engineering undergraduate students,” International Journal of Engineering Education, vol. 32, no. 5, pp. 1972–1983, 2016. [2] M. A. Feij´oo-Garc´ıa., H. H. Ram´ırez-Ar´evalo., and P. G. Feij´oo-Garc´ıa., “Collaborative
understanding of how the design problem-solving behaviors ofundergraduate engineering participants differ based on their levels of spatial ability while, whysuch differences exist and how they might affect their learning outcomes is yet to be known. Futureresearch provide us some insight into it.ACKNOWLEDGMENTSThis work was made possible by a grant from the National Science Foundation (NSF #2020785).Any opinions, findings, and conclusions, or recommendations expressed in this material arethose of the authors and do not necessarily reflect the views of the National Science Foundation. 11REFERENCES 1. R. Gorska and S. Sorby, "Testing instruments for the
sampling(KMO = 0.91) and sufficient factor correlations (χ2171 = 2562.3, p < 0.001). Phase 2 also showedsuitable results (KMO = 0.92) and (χ2171 = 2690.6, p < 0.05). Table 3. Cronbach Alpha’s Value for Both Study Phases. Phase 1 Phase 2 Cronbach’s alpha Cronbach’s alpha Searching (S) 0.78 0.80 Planning (P) 0.73 0.77 Managing (M) 0.77 0.82 4 Implementing People (IP
engineeringfaculty at a research institution who collaborated on an NSF-funded research project aimed atstudying the impact of implementing oral exams in high enrollment courses. The primaryresearch questions were: How did the instructor’s perspectives and behaviors change as theyimplemented oral exams in their courses? How did the instructors act on a growth-orientedmindset?MethodsWe invited six teaching professors from the departments of Mechanical and AerospaceEngineering and Electrical Engineering to participate in the study. To protect the confidentialityof each individual, pseudonyms were used in lieu of using their full names in data analysis (SeeTable 1). Instructor Department Course(s) that implemented oral exams
integration of AI tools into STEMpedagogy. This collaborative network among key stakeholders will serve to support equity andaccessibility in education and create a more inclusive learning environment for all futurelearners.AcknowledgmentThis material is based upon work supported by the AI.R-NISTH AI for Social Good ResearchGrant at Nanyang Technological University in Singapore. Any opinions, findings, conclusions,or recommendations expressed in this material are those of the author(s) and do not necessarilyreflect the views of the AI.R program. We would like to acknowledge all the researchers, datacollectors, and students who participated in the study.ReferencesAbulibdeh, A., Zaidan, E., & Abulibdeh, R. (2024). Navigating the confluence of
in approaches and areas for improvement or learning on thepart of novices. This work will also feed into the longer term goal of this project which will thenaim to categorize students and dispositions that allow for problem solving success. For example,if we can determine that reflection, or intrinsic motivation, (for example) are critical aspects forsuccess then future work by our group or others could focus on developing these dispositions instudents or would lend weight to existing best practices for doing so.AcknowledgementsSupport for this work was provided by the National Science Foundation under Award No.2301341. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the author(s) and do not
ofsociety and engineering solutions/technologies related to each theme. They are provided withopportunities to further explore theme(s) that they are interested in through individualizedresearch-based assignments and a team project. In this course, students also learn about programrequirements and opportunities to achieve the program competencies, and develop a customizedfour-year plan for the program, i.e., they identify opportunities they would like to pursue to meeteach competency requirement and plan out when to pursue each opportunity during their fouryear journey. Due to the active learning and group based nature of this course, the first yearstudents also closely connect with their peers and the first year community in the GCSP. Moredetails
diverse perspectives andfemale role models in STEM (Konowitz et al., 2022). Introducing students to the narratives andaccomplishments of women, minorities, and people from various cultural backgrounds canmotivate and empower underrepresented groups to pursue careers in STEM (Cheryan et al.,2015; Gilberth, 2015). Institutions, including K-12 and higher education, should develop moreinclusive and supportive environments for students interested in STEM. This involves offeringmentorship programs, networking opportunities, professional development for teachers, andresources suited to the needs of different student demographics. Such efforts align with Yeo etal.’s (2024) preliminary work that teachers use verbal and non-verbal cues to facilitate
s sections of theengineering course at a large Midwestern university. Over the semester, students were asked toreflect after each lecture on two aspects of their learning experience, i.e., what they found 1)interesting and 2) confusing in the lecture? In total, we collected reflections from 42 lectures, andthe average class size was 80 students in each section. To inform the study, we generated areflection summary for all reflection submissions in each lecture using both NLP approaches andhuman annotators. Furthermore, we evaluated the quality of reflection summaries by assessingthe ROUGE-N measure for each lecture’s reflection summary generated by all three approaches.These summaries were then aggregated for each approach by averaging
Paper ID #43707Undergraduate Level Hands-on Ecological Engineering Course with Semester-LongProject and Laboratory ExercisesDr. Niroj Aryal, North Carolina A&T State University Dr. Niroj Aryal is an associate professor of Biological Engineering at the Department of Natural Resources and Environmental Design at the North Carolina A&T State University. His academic background includes a bachelorˆa C™s in Agricultural Engineering, a post-gradate diploma in Environment Education, MS in Biosystem Engineering, and a dual major PhD in Biosystems and Environmental Engineering. Dr. Aryal is interested in instructional
educational technology to plan, prepare, and deliver robotics lessons tofifth graders at a local school. The meeting times for the two courses were scheduled to overlapfor 75 minutes a week, allowing the engineering and education students to work collaborativelyduring multiple class sessions. Each team comprised one or two engineering student(s), onepreservice teacher, and one or two fifth grader(s). The teams engaged in the followingcollaborative activities over the course of the semester: ● Training phase. The first two collaborative sessions involved engineering students and preservice teachers meeting in a classroom on campus and partnering in teams to: ○ train with the Hummingbird BitTM hardware (e.g. sensors, servo motors) and
has over 8 years of work experience in the A/E/C (Archite ©American Society for Engineering Education, 2024 Technological Infrastructure Equity for Minority Serving Institutions in Construction EducationAbstract: In the U.S. and its territories, over 800 identified Minority Serving Institutions (MSI)exist. Despite the number of MSI and the diverse population that they targeted, there is a gap inthe number of higher education degrees obtained by minority students in relation to non-minoritystudents. The root cause(s) of the gap must be determined to take tangible actions to reduce and,ideally, eliminate this obtainment gap. When considering this gap, there is a question of
outlook," 2023. [Online]. Available: https://www.bls.gov/careeroutlook/2018/article/engineers.htm.[5] A. Kodey, J. Bedard, J. Nipper, N. Post, S. Lovett and A. Negreros, "The US Needs More Engineers. What’s the Solution?," Boston Consulting Group, Boston, MA, 2023.[6] T. Robinson, A. Kirn, J. Amos and I. Chatterjee, "The Effects of Engineering Summer Camps on Middle and High School Students’ Engineering Interest and Identity Formation: A Multi-methods Study," Journal of Pre-College Engineering Education Research (J- PEER), vol. 13, p. 6, 2023.[7] L. Chu, V. Sampson, T. L. Hutner, S. Rivale, R. H. Crawford, C. L. Baze and H. S. Brooks, "Argument-Driven Engineering in Middle School Science: An Exploratory Study of Changes in
biology procedure” is included as part of a graduate-level electivecourse, which is available to meet the degree requirements of graduate students in chemicalengineering, environmental engineering, as well as nursing (via distance education). The coursethat includes the teaching module is hosted by the Missouri University of Science andTechnology (S&T), a large, public, Midwestern university, and available via distance to studentsenrolled at three additional campuses of the University of Missouri System, including theUniversity of Missouri Columbia (aka, Mizzou), the University of Missouri Kansas City(UMKC), and the University of Missouri St. Louis (UMSL). This article includes a descriptionof the course modules, representative student
. Maslow, “A Theory of Human Motivation,” Psychol. Rev., vol. 50, no. 4, pp. 370- 396, 1943.[3] T. L. Strayhorn, College Students’ Sense of Belonging: A Key to Educational Success for All Students, 2 ed. New York: Routledge, 2019.[4] S. Craps, M. Cannaerts, J. Veldman, V. Draulans, C. Van Laar, and G. Langie, “Enhancing (future) students’ sense of belonging to increase diversity and inclusion in engineering,” in The European Society for Engineering Education (SEFI) - SEFI, 2022.[5] M. Schar et al. “Classroom Belonging and Student Performance in the Introductory Engineering Classroom.” Presented at ASEE Annual
positive and negative outcomes of behavior – for example, how not toact, cause-and-effect relationships between actions and outcomes, etc. – we can all learn fromother people’s mistakes.4.8 MotivationsParticipants were explicitly asked “What motivates you as a mentor/mentee in your professionalrelationship with S. Mattucci?”, and intrinsic value was identified in almost all participantresponses (80% code presence), where instrumental (30%) and attainment (10%) werementioned less frequently. Instrumental value was often related to how the outcomes of amentorship relationship led to skill development, benefits and impacts on work – which areusually a precursor to attainment value in the form of career progression and growth.Interestingly, four of