," Quinnipiac Chronicle, 13 February 2018. [Online]. Available: https://quchronicle.com/61954/news/girls-who-code- extends-program-to-university/.[16] Q. Today, "Inspiring the future generation of female coders," Quinnipiac Today, March 2022. [Online]. Available: https://www.qu.edu/quinnipiac-today/inspiring-the-future- generation-of-female-coders-2022-03-08/.[17] J. M. Blaney and J. G. Stout, "Examining the Relationship between Introductory Computing Course Experiences, Self-Efficacy, and Belonging among First-Generation College Women," in 48th SIGCSE Technical Symposium on Computer Science Education, Seattle. WA, USA, 2017.
.” Accessed: Feb. 07, 2024. [Online]. Available: https://ieeexplore-ieee-org.proxy.library.vanderbilt.edu/document/7344065[4] J. M. Bystydzienski, M. Eisenhart, and M. Bruning, “High School Is Not Too Late: Developing Girls’ Interest and Engagement in Engineering Careers,” Career Dev. Q., vol. 63, no. 1, pp. 88–95, 2015, doi: 10.1002/j.2161-0045.2015.00097.x.[5] J. Rodriguez, S. Butt, and T. Fredericks, “Pre-college activities to promote positive perception of Engineering and Engineering Technology Careers,” 2014 International Conference on Interactive Collaborative Learning (ICL), Dec. 2014. doi:10.1109/icl.2014.7017858[6] A. R. Carberry, M. Dalal, and O. Emiola-Owolabi, “Understanding the Anchors Associated with
offering additional optionalworkshops because of the variance in TA duties across the college, but this would requireadditional staff and logistics that are a direction for future growth in this area.The required NEO workshops are Introductions, Implicit Bias, Grading and Feedback, EngagingStudents, Navigating Challenges, Presentation Skills, and a Q&A session with experienced TAs.Attendance and engagement in training workshops give TAs an opportunity to understandapplied learning and share meaningful experiences [11]. Approximately 180 TAs participate inNEO each year; it is offered every semester to all first-time teaching assistants in the College ofEngineering (80% of overall participants) while the other 20% come from the College
. Discuss potential improvements for model accuracy.5. Exploring Practical Applications (30 mins): Guide students to brainstorm real-world applications of CV and AI. Encourage identifying synergies between different CV-driven technologies.6. Summary and Q&A Session (20 mins):Recap the day's key takeaways. Address any questions or curiosities.Instructor NotesDefinitions • Computer Vision (CV): A field of AI enabling computers to interpret and understand the visual world using digital images, videos, and deep learning. • Artificial Intelligence (AI): The simulation of human intelligence processes by machines, particularly computer systems.Object Detection and Challenges: • Light: Variability
EngineeringEducation Research as a field, (2) offering sessions on what makes a good graduate application,(3) offering sessions on identifying advisors, and (4) creating interactive time through breakoutrooms and Q&A sessions. Suggested improvements included offering more time and interactionin the breakout sessions. While organizers could consider extending the event next year to meetthis need, individual programs could also think about how to provide more in-depth interactions.The one measured objective that was not achieved as successfully as others was creatingcommunity. This is not surprising as the current showcase construction did not emphasize thisaspect nor intentionally create space to do so.Data from the student perspective are not sufficient
Environments of Research to Practices in Engineering Education. In 2018 IEEE Frontiers in Education Conference (FIE) (pp. 1-6). IEEE. 9. Aqlan, F., & Nwokeji, J. C. (2018, October). Applying product manufacturing techniques to teach data analytics in industrial engineering: a project based learning experience. In 2018 IEEE Frontiers in Education Conference (FIE) (pp. 1-7). IEEE. © American Society for Engineering Education, 202410. Bonfert-Taylor, P., Ray, L., Pauls, S., Loeb, L., Sankey, L., Busch, J., & Hickey, T. (2022, August). Infusing Data Science into the Undergraduate STEM Curriculum. In 2022 ASEE Annual Conference & Exposition.11. Greer, T., Hao, Q., Jing, M., & Barnes, B
, “Identification of programmers from typing patterns,” in Proceedings of the 15th Koli Calling conference on computing education research, pp. 60–67, 2015. [9] A. Peacock, X. Ke, and M. Wilkerson, “Typing patterns: A key to user identification,” IEEE Security & Privacy, vol. 2, no. 5, pp. 40–47, 2004.[10] E. Lindgren and K. P. Sullivan, “Analysing online revision,” in Computer keystroke logging and writing: methods and applications, pp. 157–188, Elsevier, 2006.[11] G. Abdelrahman, Q. Wang, and B. Nunes, “Knowledge tracing: A survey,” ACM Computing Surveys, vol. 55, no. 11, pp. 1–37, 2023.[12] Y. Mao, Y. Shi, S. Marwan, T. W. Price, T. Barnes, and M. Chi, “Knowing both when and where: Temporal-astnn for early prediction of
encourage open-ended Q&A to address pertinent issues or concerns thateach student may be experiencing. During this time, the faculty members provide their help andinsights while the other graduate students share their experiences.MotivationFollowing leadership changes within the college, the STEM education research faculty wereempowered to reinvigorate programs that support their research area. A primary support enginefor any research program is the graduate students. Professors A and B decided to focus onconnecting with and supporting that group who would in turn contribute to the breadth of STEMeducation research produced by the University. Professor A, who was already the programcoordinator for the Ph.D. in Engineering Education program, was
://dx.doi.org/10.2139/ssrn.3287216. 2019.[14] T. Saheb, “Ethically contentious aspects of artificial intelligence surveillance: a social science perspective,” AI and Ethics, 3(2), pp. 369-379. 2023.[15] A. Etzioni and O. Etzioni, “Pros and cons of autonomous weapon systems”. Military Review, May-June, 2017. pp. 72–81, 2017.[16] D.M.A. Karwat, “Engineering for the people: Putting peace, social justice, and environmental protection at the heart of all engineering,” In National Academy of Engineering. Frontiers of Engineering: Reports on Leading-Edge Engineering from the 2018 Symposium. 2019.[17] J.R. Mihelcic, C.C. Naughton, M.E. Verbyla, Q. Zhang, R.W. Schweitzer, S.M. Oakley, E.C. Wells, and L.M. Whiteford, “The grandest
Coding Manual for Qualitative Researchers. Thousand Oaks, CA: Sage Publications, 2015.5. M. Q. Patton, Qualitative Research and Evaluation Methods. Thousand Oaks, CA: Sage Publications, 2002.
quantcrit to gifted education research: an introduction,” Gifted Child Quarterly, vol. 67, no. 1, pp. 80–89, Jan. 2023, doi: 10.1177/00169862221116636.[24] L. R. Bergman and K. Trost, “The Person-Oriented Versus the Variable-Oriented Approach: Are They Complementary, Opposites, or Exploring Different Worlds?,” Merrill Palmer Q., vol. 52, no. 3, pp. 601–632, 2006, doi: 10.1353/mpq.2006.0023.[25] M. C. Howard and M. E. Hoffman, “Variable-Centered, Person-Centered, and Person- Specific Approaches,” Organizational Research Methods, vol. 21, no. 4, p. 109442811774402, Dec. 2017, doi: 10.1177/1094428117744021.
IEEE Global Engineering Education Conference (EDUCON), pp. 1329-1336, IEEE, 2021.[2]. B. A. Quismorio, M. A. D. Pasquin, and C. S. Tayco, "Assessing the alignment of Philippine higher education with the emerging demands for data science and analytics workforce," PIDS Discussion Paper Series, 2019, no. 2019-34.[3]. M. Almgerbi, A. De Mauro, A. Kahlawi, and V. Poggioni, "A systematic review of data analytics job requirements and online-courses," Journal of Computer Information Systems, vol. 62, no. 2, pp. 422-434, 2022.[4]. E. Milonas, Q. Zhang, and D. Li, "Do Undergraduate Data Science Program Competencies Vary by College Rankings?" In Proceedings of the 2022 ASEE Annual Conference & Exposition, Minneapolis, MN
, M. Heagney, and L. Thomas, “Improving Student Retention in Higher Education: Improving Teaching and Learning,” Australian Universities’ Review, vol. 51, no. 2, pp. 9–18, 2009.[25] T. D. Nguyen, J. W. Kramer, and B. J. Evans, “The Effects of Grant Aid on Student Persistence and Degree Attainment: A Systematic Review and Meta-Analysis of the Causal Evidence,” Review of Educational Research, vol. 89, no. 6, pp. 831–874, Dec. 2019, doi: 10.3102/0034654319877156.[26] Li, C. Q. (2021). Teaching Mechatronics to Non-traditional Mechanical Engineering Students-An Adaptive Approach. International Journal of Engineering Pedagogy, 11(3).e[27] Turner, P. E., Johnston, E., Kebritchi, M., Evans, S., & Heflich, D. A. (2018
study on technology acceptance, perceptions, efficacy, and detection chances. Computers and Education: Artificial Intelligence, 5, 100172, 2023.[14] J. D. Zamfirescu-Pereira, R. Y. Wong, B. Hartmann, and Q. Yang, Why Johnny can’t prompt: how non-AI experts try (and fail) to design LLM prompts. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (pp. 1-21), April 2023.[15] A. Johnson, ChatGPT In Schools: Here’s Where It’s Banned—And How It Could Potentially Help Students. Forbes, 2023. [online]. https://www.forbes.com/sites/ariannajohnson/2023/01/18/chatgpt-in-schools-heres-where- its-banned-and-how-it-could-potentially-help-students/?sh=acc10006e2c6 [accessed 5 February 2024].[16] Zhaw
various aspects of a system. We thus performed a content analysison the data sources, grouping evidence of participant sentiment into the relevant component of themodel in order to determine how participants perceive the recent changes to the law.Results1. Policies In some cases, HEFS had factually incorrect perceptions of the new policies. Forexample, one person registered for the webinar but then contacted the organizers to explain whythey would not be participating: upon reading some of the resources that the facilitators hadshared with participants in preparation for the first webinar, they learned that their institution – amilitary academy – was not subject to the recent SCOTUS ruling. Another participant noted that“For now, reading the Q
. Cherng, B. Q. Li, and N. Natarajan, "Development of a Mechatronics Course for SeniorMechanical Engineering Students," in 120th ASEE Annual Conference & Exposition, June 23-26,2013[2] H. Vasquez and A. A. Fuentes, "Integration of Sensors and Low-Cost Microcontrollers intothe Undergraduate Mechanical Engineering Design Sequence," in 120th ASEE AnnualConference & Exposition, June 23-26, 2013[3] M. Barger and R. Gilbert, "New Mechatronics Education Initiatives in 2-year Programs," in2018 ASEE Annual Conference & Exposition, Salt Palace Convention Center, Salt Lake City, UT,June 24-27, 2018[4] S. A. Yost and D. D. Maggio, "The Mechatronics Road Show: Building on Success inMechatronics Curriculum Development," in 2004 American Society for
, instructors informed sponsors that students hadn't received anofficial rubric, inviting sponsors to suggest improvements in data presentation, especiallyconcerning industry norms. After the presentations and Q&A sessions, each team receiveddetailed grading rubrics, ensuring transparency in assignment grading. Students were apprisedthat the Course Exit survey would feature three questions regarding the elimination of rubrics ina senior-level course, emphasizing anonymity to foster honest opinions without fear ofretaliation.The decision to eliminate the rubric and empower students to self-assess their presentationcontent and style stemmed from a significant factor—the prior workshop on HeilmeierCatechism during Capstone 1. In this workshop, student
three consecutive days. The three sub-topics are 1) AssetManagement Overview and Lifecycle Cost, 2) Asset Maintenance and Reliability, and 3)Managing Aging Assets. Each day, the course was held for two sessions with a break in between.The morning session comprised lectures, an hour of industry expert speaking session, and 15minutes of Q&A. The afternoon session was reserved for student evaluations and study caseactivities on the topics learned in the morning. The themes covered in the course are not often partof Bachelor’s-degree curricula, especially at electrical engineering schools. The aim of these topicswas to advance the students’ creativity and their ability to evaluate engineering problems and,accordingly, employ innovative decision
development the design project for the capstone course) to meet with the instructor and officers from the office of alumni engagement, with a dynamic of fast Q&A sessions as described in Figure 4. These meetings are scheduled in the last week of classes (before the week of finals) in one class session, where one group attends the meeting (15-20 minutes) while the other groups keep working on the final report of technical project.The first three editions of the project were included as a regular (mandatory) component of thecourse. However, more recently, the Department has been reviewing the curricular load forstudents, in response to some criticism of potential excessive demand for students’ independentwork
equipment — makes scheduling in-sync with whole-class lecturespossible.The working section of the flow loop is a transparent square tube with internal sides of h = 44 mmand a length of at least 300 mm depending on the model. Water is pumped from a source by anelectric submersible pump, for example an aquarium pump, providing flow rates on the order ofup to 300 litres per hour (Q = 83 × 10−6 m3 /s), leading to channel Reynolds numbers up toReh ≡ Q/(hν) ≈ 1900 where ν is the kinematic viscosity. At these flow rates the flow is laminar,but the channel boundary layers are thin.Flow conditioning using a sponge and honeycomb was effective to achieve a uniform flow at theentrance — if bubbles are absent. Tracer fluid with neutral buoyancy can be sourced
programming,” Proceedings of the 34th SIGCSE technical symposium on Computer science education (SIGCSE '03). ACM, New York, NY, USA, 2003, pp. 359-362.[21] L. Porter, D. Bouvier, Q. Cutts, S. Grissom, C. Lee, R. McCartney, D. Zingaro, and B. Simon, “A multi-institutional study of peer instruction in introductory computing,” Proceedings of the 47th ACM Technical Symposium on Computing Science Education (SIGCSE '16). ACM, New York, NY, USA, 2016, pp. 358-363.[22] T. Greer, Q. Hao, M. Jing, and B. Barnes, “On the effects of active learning environments in computing education,” Proceedings of the 50th
technical and professional skills,” International Journal forService Learning in Engineering, vol. 8, no. 1, p. 1, Spring 2013.[25] R. S. Harichandran, M.-I. Carnasciali, N. O. Erdil, C. Q. Li, J. Nocito-Gobel, and S. D.Daniels, “Developing entrepreneurial thinking in engineering students by utilizing integratedonline modules,” presented at the 2015 ASEE Annual Conference & Exposition, Jun. 2015, pp.[26] N. O. Erdil, R. S. Harichandran, J. Nocito-Gobel, C. Q. Li, and M.-I. Carnasciali, “Impact ofintegrated e-learning modules in developing an entrepreneurial mindset based on deployment at25 institutions,” presented
elaboration,” PLoS Med., vol. 6, no. 7, 2009, doi: 10.1371/journal.pmed.1000100.[11] M. J. Page et al., “PRISMA 2020 explanation and elaboration: Updated guidance and exemplars for reporting systematic reviews,” BMJ, vol. 372, 2021, doi: 10.1136/bmj.n160.[12] M. Petticrew and H. Roberts, Systematic reviews in the social Sciences. Blackwell Publishing, 2006.[13] D. R. Becker, A. Miao, R. Duncan, and M. M. McClelland, “Behavioral self-regulation and executive function both predict visuomotor skills and early academic achievement,” Early Child. Res. Q., vol. 29, no. 4, pp. 411–424, 2014, doi: 10.1016/j.ecresq.2014.04.014.[14] R. Samuelsson, “Embodied reasoning with digital tools in the preschool ecology