methodological paradigm.Such an exercise can further help us develop some contextual knowledge that will prepare us toconduct qualitative research in Chinese engineering classrooms.Reference[1] B. M. Olds, B. M. Moskal, and R. L. Miller, “Assessment in Engineering Education: Evolution, Approaches and Future Collaborations,” Journal of Engineering Education, vol. 94, no. 1, pp. 13– 25, Jan. 2005, doi: 10.1002/j.2168-9830.2005.tb00826.x.[2] A. W. Astin, Assessment for excellence: The philosophy and practice of assessment and evaluation in higher education. Rowman & Littlefield Publishers, 2012.[3] D.-M. Duşe and C. Duse, Engineering education in a highly globalised world. 2008.[4] S. O. Shaposhnikov and E. Yu. Yatkina
18:56:09, 2022, doi: 10.1186/s40594-022-00347-x.[13] S. Swartz, B. Barbosa, and I. Crawford, “Building intercultural competence through virtual team collaboration across global classrooms,” Bus. Prof. Commun. Q., vol. 83, no. 1, pp. 57–79, 2020.[14] P.-S. D. Chen, A. D. Lambert, and K. R. Guidry, “Engaging online learners: The impact of Web-based learning technology on college student engagement,” Comput. Educ., vol. 54, no. 4, pp. 1222–1232, 2010.[15] C. C. Robinson and H. Hullinger, “New benchmarks in higher education: Student engagement in online learning,” J. Educ. Bus., vol. 84, no. 2, pp. 101–109, 2008.[16] X. Du and A. Kolmos, “Increasing the diversity of engineering education–a gender analysis in a PBL
place of actual computer games geared towards engineering design and learning. Inthe future, there should possibly be more research on specific games or a push for more games thattarget game-based learning.References[1] C. V. de Carvalho, “Is game-based learning suitable for engineering education?,” in Proceedings of the 2012 IEEE Global Engineering Education Conference (EDUCON), Apr. 2012, pp. 1–8. doi: 10.1109/EDUCON.2012.6201140.[2] S. M. E. Sepasgozar, “Digital Twin and Web-Based Virtual Gaming Technologies for Online Education: A Case of Construction Management and Engineering,” Appl. Sci., vol. 10, no. 13, Art. no. 13, Jan. 2020, doi: 10.3390/app10134678.[3] Bajak, “Lectures aren’t just boring, they’re
Foundation, Google, and ResearchConsortium on STEM Pathways (2020). Hispanics & STEM. Retrieved from:https://www.studentresearchfoundation.org/wpcontent/uploads/2020/04/Hispanics_STEM_Report_Final-1.pdf[4] Hispanic Association of Colleges and Universities. (2021, April). Hispanic-Serving Institutionsacross the nation total 569. https://www.hacu.net/NewsBot.asp?MODE=VIEW&ID=3322[5] American Society for Engineering Education. (2016). Engineering by the Numbers: ASEERetention and Time-to-Graduation Benchmarks for Undergraduate Engineering Schools,Departments and Programs. Washington, DC: Brian L. Yoder[6] Gates, A., Roach, S., Villa, E., Kephart, K., Della-Piana, C., & Della-Piana, G. (2008). Theaffinity research group model: Creating and
to reflect on the problem and their thought process and identify andcorrect their gap(s) in knowledge and/or misconceptions. They also need to be able to apply thekey concept of the question to other contexts through selectively abstracting core knowledge.Generating explanations about their thought process when answering exam questions provides astructured way for students to develop metacognitive skills. Such ability to abstract out the corestructural information from a given context has been promoted by self-explanation [14] andself-testing [24]-[25] in which students have a chance to metacognitively revisit the scope oftheir understanding of the materials.Along with metacognition, the expectation to explain one’s thoughts to someone else
supported by the National Science Foundation under GrantNumbers 2346868 and 2144698. Any opinions, findings, and conclusions or recommendationsexpressed in this material are those of the author(s) and do not necessarily reflect the views ofthe National Science Foundation. We would like to express gratitude to Team Y for participatingin this study and for their willingness to open their meetings to us and provide feedback on theinitial drafts of this paper. We would also like to thank Dr. Nicola Sochacka for her insightfulfeedback and discussions as we analyzed our initial data. Finally, we would like to thank themembers of the ENLITE research team who gave feedback to the drafts of this paper.References[1] M. Borrego and L. K. Newswander
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: Detection of Cheating at Online Examinations Using Deep Learning Approach -- A Case Study.”[8] Bonilla, J. M., Valarezo, M. S., Villacrés, B. D., and Guerra, M. A., 2023, “Board 44A: Work in Progress: Unannounced Frequent Examinations to Contribute Student Learning and Building Academic Integrity,” 2023 ASEE Annual Conference & Exposition.[9] Paucarina, S. E., Batallas, J. D., Guerra, M. A., and Guerra, V., 2023, “Board 44B: Work in Progress: TikTok Format Videos to Improve Communicating Science in Engineering Students,” 2023 ASEE Annual Conference & Exposition.[10] Knight, M., and Cooper, R., 2019, “Taking on a New Grading System: The Interconnected Effects of Standards-Based Grading on Teaching
expressed herein represent those of the authorsand not necessarily those of the sponsors.References[1] J. D. Bransford, R. D. Sherwood, T. S. Hasselbring, C. K. Kinzer and S. M. Williams, "Anchored Instruction: Why We Need It and How Technology Can Help," Cognition, Education, and Multimedia, vol. 12, 1990.[2] The Cognition and Technology Group at Vanderbilt, "Anchored Instruction and Its Relationship to Situated Cognition," Educational Researcher, vol. 19, no. 6, pp. 2-10, 1990.[3] The Cognition and Technology Group at Vanderbilt, "Anchored Instruction and Situated Cognition Revisited," Educational Technology, Nashville, 1993.[4] Z. B. Dahalin and K. Suebsom, "Constructing a model for assessing knowledge
model mechanical systems using formal symbolic notations (i.e.,formalizations). To understand the nature of students’ reasoning, we analyzed students’discourse to explore two competing hypotheses: (H1) The Formalisms First (FF) hypothesis thatstudents report their mechanical reasoning predominantly using mathematical formalisms thattake on a disembodied, allocentric (observer) point-of-view; or (H2) the Grounded andEmbodied Cognition (GEC) hypothesis that students predominantly use independent speechwhich includes analogy and imagery to simulate the physical structure and function of anobject(s) using an embodied, egocentric (first-person) point-of-view in addition to an allocentricpoint-of-view. Qualitative results from discourse analysis of
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&M University Victor Ugaz is the Carolyn S. & Tommie E. Lohman ’59 Professor in Engineering Education in the Artie McFerrin Department of Chemical Engineering at Texas A&M University. He joined the faculty in Jan- uary 2003. His research focuses broadly on harnessing the unique characteristics of transport and flow at the microscale, with specific interests in microfluidic flows (both single-phase and nanoparticle suspen- sions), microchip gel electrophoresis, PCR thermocycling in novel convective flow devices, and construc- tion of 3D vascular flow networks for biomedical applications. Ugaz earned B.S. and M.S. degrees in Aerospace Engineering at The University of Texas at Austin, and a Ph.D. in
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,” Educational Administration and Supervision, vol. 13, pp. 399–406, 1927.[3] S. A. Basow and J. L. Martin, “Bias in Student Evaluations,” in M. E. Kite (Ed.), Effective Evaluation of Teaching: A Guide for Faculty and Administrators, pp. 40–49, Society for the Teaching of Psychology, 2012.[4] W. J. McKeachie, “Student Ratings: The Validity of Use,” American Psychologist, vol. 52, no. 11, pp. 1218–1225, Nov. 1997. DOI: 10.1037/0003-066X.52.11.1218.[5] A. G. Greenwald and G. M. Gillmore, “Grading Leniency Is a Removable Contaminant of Student Ratings,” American Psychologist, vol. 52, no. 11, pp. 1209–1217, Nov.1997. DOI: 10.1037/0003-066x.52.11.1209.[6] J. Esarey and N. Valdes, “Unbiased, Reliable, and Valid Student Evaluations Can Still
International Journal of Science and Mathematics Education, Journal of Social Studies Research, School Science and Mathe- matics, and Mathematics Teacher. She served as the Program Chair of the Special Interest Group (SIG) Democratic Citizenship in Education of the American Educational Research Association (AERA) from 2016 to 2018. She has taught high school mathematics and holds a clear renewable teaching certificate in mathematics in the state of Georgia. She currently serves as a Co-Principal Investigator (Co-PI) of a National Science Foundation (NSF) S-STEM grant. ©American Society for Engineering Education, 2023 Developing Post-pandemic Learning Community
: https://doi.org/10.21061/see.67.17. J. S. Ge et al., “A Scoping Literature Review of Engineering Thriving to Redefine Student Success,” Studies in Engineering Education, vol. 2, no. 2, p. 19, Apr. 2021, doi: https://doi.org/10.21061/see.9.18. Tal Ben-Shahar, Happier: Learn the Secrets to Daily Joy and Lasting Fulfillment (McGraw Hill professional). The Mcgraw-Hill Companies, Inc, 2007.19. M. E. P. Seligman, Learned optimism. London: Nicholas Brealey Publishing, 2018.20. M. E. P. Seligman and M. Csikszentmihalyi, “Positive psychology: An introduction,” American Psychologist, vol. 55, no. 1, pp. 5–14, 2000, doi: https://doi.org/10.1037/0003- 066x.55.1.5.21. J. W. Creswell and C. N. Poth, Qualitative inquiry &
may not be a consensus about thedefinition and measurement of student engagement [15, 16]. While some maintain that“[s]tudents always lie at the heart of conversations about student engagement” (p. 3) [17], othersbelieve that it is important to recognize the role of postsecondary institutions in student 2engagement [18-20]. Consequently, it is posited that student engagement consists of twocomponents: (a) the extent to which students participate in educationally effective activities; and(b) the institutional resources, learning opportunities and services, and students’ perceptions ofthe institutional environment that supports student learning and
where students in the course were composed of 30% female and 70% male. A singlemidterm exam was administered in which students were provided a first tier MCQ with a SRQjustification (JSRQ) for each question (not for each choice). Students wrote a brief explanationthat was later scored on a 5-point Likert scale. The trial used four-choice MCQ-JSRQ items,scored by obtaining the weighted average of both tiers, with the JSRQ accounting for two-thirdsof each question’s weight.Another version of JMCQ was run at Smith College for Fall-2022 a CS1 course (in Python).Smith College is a historically women’s liberal arts college. The course was graded with aSatisfactory/Unsatisfactory grade (S/U) but was run in such a way that scores were usedthroughout as
) - Interaction with a Prof/TA/Tutor/Reader during oral exams increased my motivation to learn 6 - Taking oral assessments made me more comfortable (or more likely) to reach out to the instructional team for help (such as office hours, email, or other methods). - Oral assessment(s) in this course have changed my studying strategy for learning - The oral assessment(s) increased my understanding of the
. https://www.springer.com/gp/book/97894017908716 Lipson, S. K., Zhou, S., Wagner III, B., Beck, K., & Eisenberg, D. (2016). Major differences: Variations in undergraduate and graduate student mental health and treatment utilization across academic disciplines. Journal of College Student Psychotherapy, 30(1), 23-41. https://doi.org/10.1080/87568225.2016.11056577 Danowitz, A., & Beddoes, K. (2018, April 29 - May 2), Characterizing mental health and wellness in students across engineering disciplines [Paper Presentation]. 2018 Collaborative Network for Engineering and Computing Diversity Conference, Crystal City, Virginia. https://peer.asee.org/295228 Jensen, K., & Cross, K. J. (2019, June 15-19). Student
area’s urbanicity and are less common in rural areas [39, p. 201], [40]. In agreement withthis, Saw and Agger [41] found that high schools in rural and small-town settings have less APmath and science class; have less math and science fairs; are less likely to sponsor after schoolprograms; and are less likely to inform students about extracurricular math and scienceprograms. Students attending rural high school, then, tend to have less opportunities to engage inSTEM-related activities, and therefore, lower STEM participation.Conceptual Framework We draw on Main et al.’s [42] conceptual framework on the factors associated withengineering major choice across life stages to inform this study. Whereas Main et al.’sframework focuses on
Wellbeing Course,” presented at the 2023 ASEE Annual Conference & Exposition, Baltimore, MD, USA, Jul. 2023.7. D. C. Zhang and T. L. Renshaw, “Personality and College Student Subjective Wellbeing: A Domain-Specific Approach,” Journal of Happiness Studies, Apr. 2019, doi: https://doi.org/10.1007/s10902-019-00116-8.8. E. Diener, S. Oishi, and L. Tay, “Advances in subjective well-being research,” Nature Human Behaviour, vol. 2, no. 4, pp. 253–260, Feb. 2018, doi: https://doi.org/10.1038/s41562-018-0307-6.9. J. W. Creswell and C. N. Poth, Qualitative inquiry & research design: choosing among five approaches, 4th ed. Los Angeles Etc.: Sage, Cop, 2018.10. J. Saldaña, The Coding Manual for Qualitative
across diverse educational contexts. Pursuing suchinnovations in grading practices promises to advance educational equity and ensure studentsuccess more accurately reflects ability and effort.References 1. T. M. Addy et al., What Inclusive Instructors Do: Principles and Practices for Excellence in College Teaching. Stylus Publishing, LLC, 2021. 2. J. M. Malouff, A. J. Emmerton, and N. S. Schutte, "The risk of a halo bias as a reason to keep students anonymous during grading," Teaching of Psychology, vol. 40, no. 3, pp. 233-237, 2013. 3. L. R. Southgate, "Rethinking Anonymous Grading," Ethic Theory Moral Prac, 2023. [Online]. Available: https://doi-org.proxy-bc.researchport.umd.edu/10.1007/s10677-023-10415-y 4
confident I can understand my field’s subject matter in class. 0.83 0.00 -0.02 0.01 I can do well on exams in my field. 0.79 -0.02 -0.04 0.02 I understand concepts I have studied in my field. 0.77 0.06 0.04 0.00 Others ask me for help in my field. 0.57 -0.03 0.07 0.00Factor 2: Interest (α=.91) I am interested in learning more about my field. -0.04 0.90 -0.01 0.01 I enjoy learning my field. 0.06 0.87 0.00 0.00 I find fulfillment in doing work in my field. 0.05 0.80 0.03 -0.02Factor 3: Recognition as a science person (α=.93) My parent(s) or guardian