Paper ID #46119Where Empathy is Needed in Engineering FormationSteven B. Warth, Austin Peay State University An undergraduate researcher, working towards building a more empathetic and sustainable engineering society. Currently pursuing a bachelors degree in engineering physics.Bobette Bouton Dr. Bobette Bouton is an associate professor at Austin Peay State University. Her current area of research is socio-emotional development in the domain of empathy. She is a Deweyan Pragmatist who focuses on student-centered teaching and reflection. She also is working toward making higher education a more socially just and safe
indicated the impactand number of the citation. Also, the map indicates the relevance of all the research articles.Also, it provides students insights into which paper students should read next in order to explorethe concept of PSC. This can be replicated with any journal paper/conference paper acrossdisciplines for an efficient literature review. 9Figure 4. (a) Broad citation network showing connections among key studies on perovskite solarcells in space applications. (b) Focused view highlighting Kanaya (2019) as a central referenceinfluencing subsequent research.The citation map in Figure 4(a) illustrates the interconnections among key research
Instructional Innovations Program (SIIP) for the funding for thisproject.References[1] P. Bambrick-Santoyo, Driven by data 2.0: A practical guide to improve instruction, 2nd ed. Jossey-Bass, 2019.[2] O. Viberg, M. Hatakka, O. B¨alter, and A. Mavroudi, “The current landscape of learning analytics in higher education,” Computers in human behavior, vol. 89, pp. 98–110, 2018.[3] V. Park and A. Datnow, “Ability grouping and differentiated instruction in an era of data-driven decision making,” American Journal of Education, vol. 123, no. 2, pp. 281–306, 2017.[4] L. Sanchez, J. Penarreta, and X. Soria Poma, “Learning management systems for higher education: a brief comparison,” Discover Education, vol. 3, p. 58, 2024.[5] K. Ahmad, W. Iqbal, A. El
(MoMoTech). Heidelberg: Springer.[15] van Tuijl, C., & van der Molen, J. H. W. (2016), Study choice and career development inSTEM fields: An overview and integration of the research. International Journal of Technologyand Design Education, 26(2), 159–183. https://doi.org/10.1007/s10798-015-9308-1[16] Krüger, H. (1992), Vorberufliche Sozialisation. German Journal of Research in HumanResource Management, 318-341.[17] Ivemark, B., & Ambrose, A. (2021), Habitus Adaptation and First-Generation UniversityStudents’ Adjustment to Higher Education: A Life Course Perspective. Sociology of Education.https://doi.org/10.1177/00380407211017060[18] Papadakis, S., Vaiopoulou, J., Sifaki, E., Kalogiannakis, M., & Stamovlasis, D. (2021).Attitudes towards
, no. 2, pp. 191-215, Mar. 1977. doi: 10.1037/0033-295X.84.2.191.[14] J. B. Rotter, Social Learning and Clinical Psychology. Englewood Cliffs, NJ, USA: Prentice-Hall, Inc., 1954. doi: 10.1037/10788-000.[15] A. Kiremire, B. Williamson, E. Wilson, and C. Dean, “(Re) shaping STEM evaluation through organizational capacity development,” presented at Amer. Eval. Assoc. Annual Conf. (Evaluation 2022), New Orleans, LA, USA, Nov. 10, 2022.[16] Pact, “Pact’s approach to capacity development,” Washington, DC, USA, n.d.[17] “Evaluating capacity development,” Better Evaluation, https://www.betterevaluation.org/en/themes/capacitydevelopment (accessed Jan. 5, 2025).[18] S. Otoo, N. Agapitova, and J. Behrens, “The Capacity
OR OR OR Justifies 2 SD 3V Nothing written in this regard OR OR NA OR Application SD V (Cohort 1 only) a SD = Sufficiently Detailed, b V = VagueOther than the rubric, instructors provided additional resources to familiarize students withmetacognition and the reflection assignment expectations (Table 4). For Cohort 1 Course 1,resources were limited and relied predominantly on written feedback from the research team.However, after the Cohort 1 Course 1 first reflection it
Paper ID #46586Speak Loudly and Carry a Small Stick: Applying Classicle Sticks Across theEngineering CurriculumDr. C. Richard Compeau Jr, Texas State University C. Richard Compeau Jr. is a Professor of Practice in the Ingram School of Engineering, and the Electrical Engineering Program Coordinator. He is interested in teaching and curriculum development. His work is typically project-specific for the EE CapstonDr. Kimberly Grau Talley P.E., Texas State University Dr. Kimberly G. Talley, P.E. is an associate professor in the Department of Engineering Technology, PERSIST (Promoting the Engagement and Retention of Students In
Paper ID #45858Integrating Immersive Virtual Reality for Enhanced Learning in Engineering:A Case Study in Higher Education in LebanonDr. Evan Fakhoury, Lebanese American University Evan Fakhoury, PhD, is an Assistant Professor of Mechanical Engineering at the Lebanese American University and the Assistant Director of the LAU Industrial Hub. With a deep passion for innovation and entrepreneurship, Dr. Fakhoury has founded a VR/AR digital consulting agency, leveraging cutting-edge technologies to improve human-computer interaction. At the Lebanese American University, his research focuses on virtual reality, immersive learning
did not meet their [the TA’s]self-determined length.In this example the dissent came in both the form of legitimate dissent [33] (the quiz was overlycomplicated—it covered too much disparate material) and personal attacks (the coordinatorneeded instruction from the TA about how to be an instructor) [30]. To help resolve the dissent,the two-step strategy was deployed as follows: 1. Provide an avenue for dissent to occur and be addressed. a. Distribute the quiz in advance of the meeting for the TAs to review and provide comments. b. Encourage comments/criticism on the materials at the weekly meeting. 2. Establishing leadership boundaries between that emphasize both authority and respect. a. Do not
thisarticle has been critically reviewed and further refined by the authors, ensuring that the contentaligns with the authors' intended scope and scholarly rigor.References[1] A. Hamad, B. Jia, “How Virtual Reality Technology Has Changed Our Lives: An Overview of the Current and Potential Applications and Limitations,” Int. J. Environ. Res. Public Health, 19, 11278, 2022. https://doi.org/10.3390/ijerph191811278[2] B. Birckhead, C. Khalil, X. Liu, S. Conovitz, A. Rizzo, I. Danovitch, K. Bullock, B. Spiegel, “Recommendations for Methodology of Virtual Reality Clinical Trials in Health Care by an International Working Group: Iterative Study,” JMIR Ment Health, 6(1):e11973, Jan. 31, 2019. doi: 10.2196/11973. PMID
for engineering students [22], [23].Student use of university-wide learning support systems in engineering, such as library servicesand tutoring, also contribute to student retention and success [24]. Access to academic supportresources provided by the university is especially necessary for retention of underrepresentedstudent populations [15].B. Instructor TransparencyTransparent teaching methods prioritize clear communication with students about the structure ofa course and the reasoning behind that structure. Personalizing and clearly outlining coursepolicies and expectations of students within a syllabus allows an instructor to engage intransparent teaching methods from the outset of a course. Existing studies indicate thatincreasing
,” 2006.[8] C. Groce, T. Willis, B. S. Sonner, and W. L. James, “Mandatory Class Attendance Policies: Examining the Student Perspective,” 2012.[9] A. Lofgren, “College Students and Class Attendance: How Poverty and Illbeing Affect Student Success through Punitive Attendance Policies,” College Teaching, 2023, doi: 10.1080/87567555.2023.2255714.[10] K. Kasman and Z. Hamdani, “THE EFFECT OF ZOOM APP TOWARDS STUDENTS’ INTEREST IN LEARNING ON ONLINE LEARNING,” vol. 2, no. 3, 2020, doi: 10.31933/dijemss.v2i3.[11] H. ’Raaen, K. ’Gonzalez, R. ’Sørum, “Can Zoom replace the classroom? Perceptions on digital learning in higher education within it,” 20th European Conference on e-Learning, 2021.Appendix A
. Paper presented at 2018 ASEE Annual Conference & Exposition , Salt Lake City, Utah. 10.18260/1-2--309213. Klingbeil, N. W., & Bourne, A. (2013, June), A National Model for Engineering Mathematics Education: Longitudinal Impact at Wright State University Paper presented at 2013 ASEE Annual Conference & Exposition, Atlanta, Georgia. 10.18260/1-2--190904. Vanderbilt University Center for Teaching, "Understanding by Design." Accessed: May 1, 2025. [Online]. Available: https://cft.vanderbilt.edu/wp-content/uploads/sites/59/Understanding-by-Design.docx5. Dabney, B. W., & Eid, F. (2024). Beyond Bloom's: Fink's taxonomy as a catalyst for meaningful learning in nursing education. Teaching and Learning in Nursing, 19(1
than simply selecting a random answer option.Activity Feature 1 (Figure 1) → Poll: It is a comparative analysis feature. It provides theperformance statistics of students for each question included in the activity session. This activityfeature employs multiple-choice questions. The example in Figure 1 shows that 33.3% of studentsselected option A, 33.3% chose option B, and 33.3% chose option C. Since all students answeredthe question, option D received 0%. I included options A to C, while option D was automaticallygenerated. Nearpod has an option to include an image in any question. I included the T-ν diagramto this question. Statistics of Class Performance
real-worldprojects. By bridging theoretical concepts with practical applications, VEs enhance learning,improve skill development, and offer an engaging educational experience [11, 12].Integrated feedback mechanisms within VEs allow students to refine their strategies iteratively,creating a continuous improvement loop. Similar to varied treatments in medical SA, differentVE approaches can be studied to determine their impact on student engagement andachievement. 1.2. Research ObjectivesThe primary objectives of this study are to: a. Design and development of virtual environments for engineering core course as “treatment” to enhance engagement b. Apply FLASH to forecast student success based on engagement data in VEs within
: Shaping Future Engineers,” in 2024 ASEE Annual Conference & Exposition, 2024.[10] M. Williams and C. George, “Using and doing science: gender, self-efficacy, and science identity of undergraduate students in STEM,” J Women Minor Sci Eng, vol. 20, pp. 99– 126, Jan. 2014, doi: 10.1615/JWomenMinorScienEng.2014004477.[11] M. Melissa, R. A. B, G. John, P. N. C, R. M. M, and L. Alexis, “Seeing Yourself as a Scientist: Increasing Science Identity Using Professional Development Modules Designed for Undergraduate Students,” Journal of Microbiology & Biology Education, vol. 23, no. 1, pp. e00346-21, Mar. 2022, doi: 10.1128/jmbe.00346-21.[12] N. M. Lockie and R. J. Van Lanen, “Impact of the Supplemental Instruction Experience
determine (1) whether studentengagement with UDL tools is self-informative and (2) to assess whether these interactions can beused to detect engagement changes. Two key UDL components are studied: (a) digital forms,which facilitate non-graded participation and formative feedback, and (b) multimedia tools thatprovide accessible, self-paced learning opportunities. Student interactions are analyzed usingauto-regressive models, including ARIMA, SARIMA, and advanced machine learning methodslike GRU and CatBoost. The study also employs Pruned Exact Linear Time (PELT) to detectsignificant engagement shifts. Findings suggest that student interaction data predicts futureengagement, with GRU performing best in minimizing absolute errors and ARIMA excelling