the early 2000’s [5] in the Social Sciences field whenHilary Arksey and Lisa O’Malley published the first methodological framework in their work,“Scoping Studies: Toward a Methodological Framework” [4]. Since then, this framework hasbeen critiqued, modified, and heavily adopted into the health sciences and psychology fields [1],[5], [6]. While there are slightly varying definitions of this type of literature review, the mainessence is to capture the “extent, range, and nature of research activity” [4, p. 21]. In otherwords, the “breadth” of the research topic with varying degrees of depth in its literature. Arksey and O’Malley’s framework [4] outlines six stages in a scoping review (fiverequired, and one optional additional). Which
://code.org/educate/csf [4] “Computer science fundamentals deep dive workshop,” Code.org, 2023. [Online]. Available: https://code.org/professional-development-workshops [5] J. E. Dolan, “Splicing the divide: A review of research on the evolving digital divide among k–12 students,” Journal of Research on Technology in Education, vol. 48, no. 1, pp. 16–37, 2016. [6] E. Gellenbeck, “Integrating accessibility into the computer science curriculum,” J. Comput. Sci. Coll., vol. 21, no. 1, p. 267–273, oct 2005. [7] M. Alper, “Making space in the makerspace: Building a mixed-ability maker culture,” Proceedings of the Interaction Design and Children (IDC-13), New York, NY, USA, pp. 24–27, 2013. [8] A. Hurst and S. Kane, “Making ”making
motivates them to strive for good performance.AcknowledgmentThe authors appreciate the valuable discussion with Jiadi Zhang and Qinchun Li in the College ofEducation at the University of Illinois Urbana-Champaign.References [1] R. M. Carini, G. D. Kuh, and S. P. Klein, “Student engagement and student learning: Testing the linkages,” Research in higher education, vol. 47, pp. 1–32, 2006. [2] A. L. Reschly and S. L. Christenson, Handbook of research on student engagement, 2nd ed. Springer, 2022. [3] M. Kalogiannakis, S. Papadakis, and A.-I. Zourmpakis, “Gamification in science education. a systematic review of the literature,” Education sciences, vol. 11, no. 1, p. 22, 2021. [4] M. Jun and T. Lucas, “Gamification elements and their
all Determine the direction of the S - Incorrect sign on one or more moments of moment of force forces C - Assigned i- and j- directions to one or more Add moments momentsIn problem 1 of Exam 2, students were asked to draw the appropriate free-body diagram, then useequilibrium equations to determine the support reactions (see Figure 2). This problem requiresstudents to be able to: 1. Identify the appropriate reactions at the supports to draw a proper free-body diagram. 2. Write an appropriate moment equilibrium equation (presumably about point A) and
, Engineering, and Mathematics Education Perceptions in Rural High School Students Author1, Authro2, and Author3 The University of ABC, State, CountryAbstractInvesting in Science, Technology, Engineering, and Mathematics (STEM) education is critical,especially as technology evolves rapidly and integrates with various professional fields supportingSTEM across the United States. Thus, a need for technically adept students who can meet the needsof the STEM professional field(s). This need is particularly significant in the construction industry,where a diverse and technologically skilled workforce is essential. However, the industry faceschallenges related to its perception among
Perspectives, vol. 58, no.1, pp. 56–77, 2015,doi:10.1177/0731121414556543.[6] E. Cech, B. Rubineau, S. Silbey and C. Seron, "Professional Role Confidence andGendered Persistence in Engineering," American Sociological Review, vol. 76, no.5, pp.641–666, 2011, doi:10.1177/0003122411420815.[7] S. Craps, M. Pinxten, H. Knipprath and G. Langie, "Exploring professional roles for earlycareer engineers: a systematic literature review," European Journal of Engineering Education,vol. 46, no.2, pp. 266–286, 2021, doi:10.1080/03043797.2020.1781062.[8] S. Craps, M. Pinxten, H. Knipprath and G. Langie, "Different roles, different demands. Acompetency-based professional roles model for early career engineers, validated in industryand higher education," European
cartesiancomponents. Reminding students to draw the components of the force on their FBDs may alsoimprove students’ comprehension of 3D systems and their success in solving 3D staticsproblems.AcknowledgmentsThe first author is grateful for the innovation grant provided by the Engineering EducationTransformations Institute at the University of Georgia. This grant is intended to support theinitiation and study of teaching and learning projects that improve the overall experience ofteaching and learning engineering in the College of Engineering at the University of Georgia.References[1] I. M. Smith, "Spatial ability: Its educational and social significance," (No Title), 1964.[2] S. Hsi, M. C. Linn, and J. E. Bell, "The role of spatial reasoning in
being proposed must either be completely new or significantly revised to now include simulation. Typically, each call has a focus or theme, for instance: courses in Sustainability or Biomedical Engineering or Electrical Engineering. Each submission should include: - The CV of the lead academic. - The proposed course(s) description (rationale, year of study, number of students, etc) - How the incorporation of these tools will enhance the course. - A brief description of how the funds will used, if granted.• Review: The Academic team is responsible for reviewing all proposals that meet the eligibility requirements. To minimize and mitigate bias in the review process, each proposal is
Engineering Education, vol. 105, no. 2, pp. 312-340, 2016, doi: 10.1002/jee.20118 3. A. Godwin, “The Development of a Measure of Engineering Identity,” in Proceedings of the ASEE Annual Conference & Exposition, 2016, doi: 10.18260/p.26122 4. J. L. Huff and M. S. Ross, "Advancing an integrative perspective of identity in engineering education," in International Handbook of Engineering Education Research, A. Johri, Eds. New York, NY, USA: Routledge, 2023, ch. 9, pp. 183–198. 5. M. Borrego, A. Patrick, L. Martins, and M. Kendall, “A New Scale for Measuring Engineering Identity in Undergraduates,” in 2018 ASEE Gulf-Southwest Section Annual Conference, Austin, TX, 2018. 6. L. Benson, D. Verdin, G. Potvin, A. Godwin
.[9] Council of Graduate Schools, Doctoral Initiative on Minority Attrition and Completion. 2015.[10] E. Zerbe, G. M. Sallai, K. Shanachilubwa, and C. G. P. Berdanier, “Engineering graduate students’ critical events as catalysts of attrition,” Journal of Engineering Education, vol. 111, no. 4, pp. 868–888, Oct. 2022, doi: 10.1002/jee.20481.[11] T. M. Bluestein, C. Amelink, and M. S. Artiles, “Campus Climate for Engineering Graduate Students: Examining Differences Between Domestic Minority, Domestic Majority, and International Students,” 2018.[12] D. L. Lorenzetti et al., “A systematic review of graduate student peer mentorship in academia,” Mentoring and Tutoring: Partnership in Learning, vol. 27, no. 5, pp
actions and perception. This parallels Vygotsky’s argument that the dialectical nature ofconsciousness and material reality are not separate entities. Instead, reason and problem solvingoriginate from both. In STEMtelling, wisdom was exercised by students’ advancing algorithmicawareness, thereby helping individuals to recognize where and how tensions occur in algorithmicsystems and demonstrating that wisdom begins with knowing that ethical tensions exist.Acknowledgments:The article is based upon work supported by the National Science Foundation under Grant No. EEC-2022271. Any opinions, findings, and conclusions or recommendations expressed in this material arethose of the author(s) and do not necessarily reflect the views of the National Science
the program that can inform decision makers. Among the limitations of thestudy, we observe that the focus group interviews did not capture the full heterogeneity ofWTA experiences in substantially different courses. Similarly, to date, we have not includedin this research the perspectives of faculty or students who have benefited from WTAsupport.References[1] G. L. Flett, S. Chang, M. Liang, and G. Lianrong, “Mattering as a Unique Resilience Factor in Chinese Children: A Comparative Analysis of Predictors of Depression,” Int J Child Adolesc Resil, vol. 4, no. 1, pp. 91–102, 2016, doi: 10.1177/0734282919890786.[2] R. Long, M. Kennedy, K. Malloy Spink, and L. J. Lengua, “Evaluation of the Implementation of a
Construction. Hoboken, NJ, USA: John Wiley & Sons,2015.[4] O. Abudayyeh, J. Russell, D. Johnston, and J. Rowings, “Construction Engineering andManagement Undergraduate Education,” J. Constr. Eng. Manag., vol. 126, no. 3, pp. 169–175,May 2000, doi: 10.1061/(ASCE)0733-9364(2000)126:3(169).[5] S. Ahmed, C. Yaris, R. Farooqui, and M. Saqib, “Key Attributes and Skills for CurriculumImprovement for Undergraduate Construction Management Programs,” CoLab. [Online].Available: https://colab.ws/articles/10.1080%2F15578771.2014.900833. [Accessed: Jan. 15,2025].[6] R. U. Farooqui and S. M. Ahmed, “Key Skills for Graduating Construction ManagementStudents—A Comparative Study of Industry and Academic Perspectives,” in Proc. ASCE, 2012,pp. 1439–1448.[7] Z
of graduate students’ feedback, and urges academicleaders to devise and/or reinforce mechanisms that allow graduate students to voice their concernsand treatment without fear of retribution.Acknowledgment. This material is based upon work supported by the National ScienceFoundation under Grant No. #1844878. Any opinions, findings, conclusions, or recommendationsexpressed in this material are those of the author(s) and do not necessarily reflect the views of thesponsors.References[1] E. Benkin, “Where have all the doctoral students gone?: a study of doctoral student attrition at ucla (graduate, abd; california),” University of California, Los Angeles, 1984.[2] C. M. Golde, “The Role of the Department and Discipline in Doctoral Student
ethical judgment and decision-making skills necessary to navigate thecomplexities of the construction industry with integrity and professionalism.REFERENCES[1] Bureau of Labor Statistics. (2023, September 8). Industries at a Glance: Construction: NAICS 23. Retrievedfrom https://www.bls.gov/iag/tgs/iag23.htm[2] Pan, Y., & Zhang, L. (2023). Integrating BIM and AI for Smart Construction Management: Current Status andFuture Directions. Archives of Computational Methods in Engineering, 30(2), 1081-1110.[3] Pheng, L. S. & Hou, L. S. (2019). The Economy and the Construction Industry. In: Construction Quality and theEconomy. Management in the Built Environment. Springer, Singapore.[4] Vee, C. and Skitmore, R.M. (2003) Professional Ethics in the
situation”[7, p. 17]. Under the MMP approach, models are “Conceptual systems (consisting of elements, relations, operations, and rules governing interactions) that are expressed using external notation systems, and that are used to construct, describe, or explain the behaviors of other system(s)—perhaps so that the other system can be manipulated or predicted intelligently. A mathematical model focuses on structural characteristics (rather than, for example, physical or musical characteristics) of the relevant systems” [14, p. 10]The evolution of these models is not linear but occurs through iterative development cycles [16,17, 18]. These iterative processes emerge as students solve MEAs and interact with peers
future schools. - Providing evidence to inform decision-makers on financial strategies to support school renovations aimed at improving IEQ.References:[1] K. H. Yu et al., “Optimization of thermal comfort, indoor quality, and energy-saving in campus classroom through deep Q learning,” Case Studies in Thermal Engineering, vol. 24, p. 100842, Apr. 2021, doi: 10.1016/J.CSITE.2021.100842.[2] A. Riham Jaber, M. Dejan, and U. Marcella, “The Effect of Indoor Temperature and CO2 Levels on Cognitive Performance of Adult Females in a University Building in Saudi Arabia,” Energy Procedia, vol. 122, pp. 451–456, Sep. 2017, doi: 10.1016/J.EGYPRO.2017.07.378.[3] B. J. Alkhatatbeh, Y. Kurdi, and S. Asadi, “Enhancing
-based inclusive teachingpractices, as the effective use of these improves the learning experience for all students.2.6. LimitationsOne limitation of the current study is that only one of the authors coded each data set ofqualitative responses (one for Group 1 and one for Group 2). A more rigorous coding practicewhich reduces bias [23] is for multiple coders to examine each data set, but unfortunately IRBlimitations prevented the authors from examining each other’s student responses. Since the solecoder of each data set was also an author of this study, as well as the instructor of the studiedcourse(s), there is an avenue for biases related to their classroom experience impacting theircoding choices. As is typical for end-of-semester course
therefore be developed, enabling students topick one or a set thereof that yield the best results. An example of the type of student profile tobe generated is given at the end of the system message in Table 1 of the Appendix. This profile isused as a component of the input to the text personalization agent, which is discussed next.Agent 2: Text PersonalizationOnce the student profile has been created, the next step is to generate a personalized text alignedwith the student’s preferences. This must be done without removing critical information from thetext which a student may need to complete an assignment, for instance. Rather than relyingentirely on GPT-4’s text-generation capabilities, our personalization agent takes two inputs (seeFigure 1): (1
Ethics your team developed in class. Part II. Application Select a Biomedical/Biotech related film from the list posted to Canvas. Watch the film (pause and take notes as needed) and evaluate the scenarios presented based on your code of ethics. 1. Identify 4 specific instances where bioethics can be applied. Write 1-2 paragraphs on the application of your code of ethics to each of the instances you selected. Did characters meet the expectations of each ethical principle in your code? How or how not? 2. Evaluate the actions of the primary character(s) throughout the film. Would you consider them to be ethical overall based
Psychological, Academic, and Economic Impact of COVID- 19 on College Students in the Epicenter of the Pandemic,” Emerging Adulthood, vol. 10, no. 2, pp. 473–490, Apr. 2022, doi: 10.1177/21676968211066657.[2] S. Abelson, S. K. Lipson, and D. Eisenberg, “Mental Health in College Populations: A Multidisciplinary Review of What Works, Evidence Gaps, and Paths Forward,” in Higher Education: Handbook of Theory and Research: Volume 37, L. W. Perna, Ed., in Higher Education: Handbook of Theory and Research. , Cham: Springer International Publishing, 2021, pp. 1–107. doi: 10.1007/978-3-030-66959-1_6-1.[3] J. R. Deters, J. A. Leydens, J. Case, and M. Cowell, “Engineering culture under stress: A comparative case study of undergraduate
Rubric : A Tool for Responsible Student Self- Assessment,” Teach. Educ. Fac. Publ., vol. 5, 2010.[12] D. Popken, “The Validity and Reliability of a Single-Point Rubric to Assess Student Writing Performance,” Western Connecticut State University, 2020.[13] J. K. Estell, H. M. Sapp, and D. Reeping, “Work in progress: Developing single point rubrics for formative assessment,” ASEE Annu. Conf. Expo. Conf. Proc., vol. 2016-June, 2016, doi: 10.18260/p.27221.[14] J. Lynch, S. Sorby, B. Aller, and T. Murphy, “Developing a Writing Rubric to Answer Research Questions (not for Grading!),” 2024, doi: 10.18260/1-2--45609.[15] Me. Michael J. Peeters PharmD, E. G. S. PharmD, and G. E. S. PhD, “A Standardized Rubric to Evaluate Student
, noisy text, and reorganize large sequences of strings into a columnar struc-ture. These results suggest that with more data and continuous improvement, these systems couldbe implemented to greatly support the admissions process in the future.References [1] R. Avyodri, S. Lukas, and H. Tjahyadi, “Optical character recognition (ocr) for text recogni- tion and its post-processing method: A literature review,” in 2022 1st International Confer- ence on Technology Innovation and Its Applications (ICTIIA), 2022, pp. 1–6. [2] S. Paliwal, V. D, R. Rahul, M. Sharma, and L. Vig, “Tablenet: Deep learning model for end-to-end table detection and tabular data extraction from scanned document images,” CoRR, vol. abs/2001.01469, 2020. [Online
Project Curriculum Module (Curriculum Exchange)," in 2014 ASEE Annual Conference & Exposition, 2014, pp. 24.928. 1-24.928. 2.[14] R. A. Moore et al., "Creating Biologically Inspired Design Units for High School Engineering Courses," in 2021 IEEE Frontiers in Education Conference (FIE), 13-16 Oct. 2021, pp. 1-4, doi: 10.1109/FIE49875.2021.9637238.[15] H. Ehsan and A. P. Rehmat, "Unleashing the Power of Differentiation and Inclusivity: Designing a Multidisciplinary Exhibit for Children," The Science Teacher, vol. 91, no. 6, pp. 32-40, 2024/11/01 2024, doi: 10.1080/00368555.2024.2407392.[16] H. Ehsan, J. P. Quintana-Cifuentes, S. Purzer, and A. P. Rehmat, "Engineering design and children: A
Reference(s) Chapter 22 Economic, environmental, and societal issues Callister and Rethwisch [32]; [38] in materials engineering; Wind power example Wind turbine blade materials [39] 2 Rare earth elements - mining [40] 8 Safety, testing – faked submarine material tests [41] 14 Plastic pollution during its lifecycle [42], [43], [44] 14 Nanoplastics prevalence and health concerns [45] 15 Road made of recycled plastic [46] 12, 13 Ceramics, carbon footprint, water usage, Bubble charts [47] recycled fraction 17 Corrosion of lead pipe and Flint [48] 17 Biodegradable
using graphical methods, Excelfunctions and spreadsheets, MATLAB commands and functions, and the engineering problem-solving process. Course 1 also emphasized effective technical communication of processes andsolutions. In this course, students’ course grades depended on eight components:attendance/participation, homework (including reflection), pre-class quizzes, project milestones,project poster, project report, performance as team member, and a class survey. The writtenreflection comprised 2.2% of the course grade in Spring 2023 and 3% in Spring 2024. In Spring2023, the research team assessed students’ reflections. In Spring 2024, the instructor, supportedby two undergraduate teaching assistants, assessed students’ reflections.Course 2’s
supports graduate students access in their academic workplace—as the supports accessed inthese settings are most relevant to engineering education researchers, faculty and administrators.We ask the following research question (RQ 1), how do nonbinary STEM graduate studentsreceive supports from cisgender and transgender alters that witness and mirror them asnonbinary?FrameworksWe utilize Gentry et al.’s (2024) nonbinary social supports conceptual framework and Dolan andGarvey’s (2024) nonbinary identity development model to guide our study. As nonbinaryresearchers, we found it crucial to model the use of asset-based frameworks specific to ournonbinary population.Nonbinary Social Supports Conceptual FrameworkWe utilize Gentry et al.’s (2024
support research on equity and inclusion in STEM education.Prof. Satchi Venkataraman, San Diego State University Satchi Venkataraman, Ph.D., is a Professor of Aerospace Engineering. He has served as Graduate Advisor for the Aerospace Engineering program (17 years) and as an Associate Director at the Computational Sciences Research Center at San Diego State University (11 years). His expertise is in computational mechanics and optimization applied to design of lightweight and durable composite aircraft structures. He has extensive experience in developing programs for student professional development and broadening participation (co-PI and PI on three NSF S-STEM grants). ©American Society
/worldwide [6] [Online]. Available: https://www.mordorintelligence.com/industry-reports/internet-of-things-iot-market [7] [Online]. Available: https://www.indeed.com/career-advice/finding-a-job/cloud-computing-careers [8] B. Burd, L. Barker, F. A. F. P´erez, I. Russell, B. Siever, L. Tudor, M. McCarthy, and I. Pollock, “The internet of things in undergraduate computer and information science education: exploring curricula and pedagogy,” in Proceedings Companion of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education, 2018, pp. 200–216. [9] C. Servin, S. Aly, Y. Cheon, E. Eaton, C. Guevara, A. Kumar, T. Pirtle, and M. Scott, “Cs2023: Acm/ieee-cs/aaai computer science curricula-specialized platform