potential contributionsto the typology of effective teaching strategies. The study is anchored by a research question:what student-centered teaching approaches do exemplary engineering instructors employ topromote knowledge-building in their courses, and how do these approaches align with theirbeliefs about teaching?Data CollectionTo address the research question, the study employed the participatory action research (PAR)methodology, which prioritizes the invaluable input and expertise of participants. The PARapproach is best suited for this study because it actively improves social practices [10], involvingparticipants in designing data collection, reflecting on data, and testing identified practices intheir own contexts. A diverse group of
analyze and apply, demanding adeeper level of cognitive engagement with the material and enhanced problem-solving abilitiesfrom the students. The crafting of course objectives, reflective of broader program aims, iscrucial for the success of a translational model that aligns educational outcomes withoverarching program goals.Experiential learning is essential to the education of aspiring engineers. Engineering combinestheory with practical application, requiring a learning approach that encompasses both for thesake of societal safety and integrity of the solutions engineers provide. Experiential learningoffers a diverse array of learning opportunities grounded in real-world experiences; inengineering education programs it is usually manifested as
, S. Zappe, and I. Osunbunmi, “Lessons Learned: FacultyDevelopment Book Club to Promote Reflection among Engineering Faculty on Mental Health ofStudents,” presented at the ASEE Annual Conference & Exposition, 2024.[9] “About,” Mental Health First Aid, Oct. 18,2013. https://www.mentalhealthfirstaid.org/about/[10] Calm, “Experience Calm,” Calm, 2019. https://www.calm.com/ (accessed Jan. 25,2024).
debrief and reflection. By experiencingmultiple live ACLs and follow-up discussions, the participants gained an appreciation for thepre-course preparation necessary, the length of class time necessary, and an idea of whichtechniques might work (or not work) for them. One thing to note is that, just like our students,faculty may tend to look ahead at class material. For this reason, the facilitators used a “just intime” method to release notes and handouts.4. TemplatesTwo types of templates were distributed to and used by the participants. The first was a fillabletemplate that contained all the elements of a well-structured ACL that aided in determining thetime allotted for the module, team size, student deliverables, assessment technique, etc
in the first coding cycle [12], analyzingthe data for relevance to the research questions. The second and third coding cycles progressedbased on analyzing data for connections to the proposed theoretical framework. The resultingcodebook was developed by the autoethnographer in consultation with the research collaboratorfor confirmation of emerging themes, sensemaking, and suggestions for additional probing.Part of the analysis journey also included reflections on the autoethnographer’s transitionalexperiences outside those articulated during the interview. These reflections are recorded inanalytical memos written throughout the analysis process, starting from interview transcription.This additional data allowed the researchers to explore in
as men, 31% identify themselves as women.Faculty participation varied across departments. For instance, the Civil and EnvironmentalEngineering department had the highest participation (21%). Participation was moderate inBioengineering (7%). Participation was less in Physics (3%). There is no participant fromChemical Engineering. It is important to note that the demographics of survey participants donot reflect the overall demographics of program participation by gender, departments, andother categories.Findings and DiscussionMost engineering faculty members are highly engaged in their teams’ education-innovationprojects.Based on the faculty survey, the application process is considered highly accessible, and thefaculty believe the proposal
simultaneously. Most of these foreign nationals areeventually naturalized and become citizens. While the immigration status of these faculty istransitional, their specific cultural and racial identity carries forward. Unfortunately, theclassification of these individuals in URM/Non-URM status is complicated [25], as 1) the URMdefinition used by NSF is based on underrepresentation in STEM fields relative to the overall U.S.population, but FB faculty are drawn from the world population where the ethnic groups adverselyaffected by systemic inequities may or may not align with the U.S. definitions; 2) FB faculty ofBlack and Hispanic backgrounds are included in URM, which raises the number of URM facultybut does not reflect an improvement in the including of
Intelligence (AI): A Collective Reflection from the Educational Landscape," Asian Journal of Distance Education, vol. 18, no. 1, pp. 51-130, 2023.[6] H. Ibrahim, F. Liu, R. Asim, B. Battu, S. Benabderrahmane, B. Alhafni, W. Adnan, T. Alhanai, B. AlShebli, R. Baghdadi, J. J. Bélanger, E. Beretta, K. Celik, M. Chaqfeh, M. F. Daqaq, Z. E. Bernoussi, D. Fougnie, B. G. de Soto, A. Gandolfi, A. Gyorgy, N. Habash, J. A. Harris, A. Kaufman, L. Kirousis, K. Kocak, K. Lee, S. S. Lee, S. Malik, M. Maniatakos, D. Melcher, A. Mourad, M. Park, M. Rasras, A. Reuben, D. Zantout, N. W. Gleason, K. Makovi, T. Rahwan and Y. Zaki, "Perception, performance, and detectability of conversational artificial intelligence across 32 university courses
we will also compile a list of exemplary cases inengineering ethics education and carry out a broad assessment and analysis of the university’sengineering ethics education (as reflected in the Self-Study Reports). We expect these will helpus plan for workshops where faculty may meet and exchange their experience (Step 2 and 3),work on common goals (Step 4 and 5), and develop a community and several special interestgroups (Step 3, 4 and 5).Final RemarksIn the literature of faculty development, we found that considerations of diverse teaching settingsand faculty identities are less discussed than other concepts or strategies (e.g., [12]). Even thoughsimilar concepts like teacher autonomy have been systematically investigated and discussed
prior to themidterm or final) showed that students appreciated the opportunity for unlimited attempts.However, the opportunity to procrastinate until days before the midterm or final grade deadlinewas a strong pull for many student. Many comments reflected the idea that less-than-optimallearning occurred as a result of the push to get homework assignment completed at the lastminute. The resulting disconnect between needing the analysis tools developed in the homeworkassignment to complete the design project, yet not having completed the homework assignmentsin time to use them on the design project. was a common theme. Many groups relied on a singleteam member who had completed the assignments on time. Several teams did not have any teammembers
conclusions or recommendations expressed in thismaterial are those of the authors and do not necessarily reflect the views of the National ScienceFoundation. References[1] Excelencia in Education (2023a). “Hispanic–serving institutions (HSIs): 2021–22,” 2023.[Online]. Available: https://www.edexcelencia.org/media/2105[2] A. M. Núñez, J. Rivera, J. Valdez, and V. B. Olivo. “Centering Hispanic-serving institutions’strategies to develop talent in computing fields,” Tapuya: Latin American Science, Technologyand Society, vol., 4, no. 1, 1842582, 2021.[3] B.L. Scott, S. M. Muñoz, and S. B. Scott. “How whiteness operates at a Hispanic ServingInstitution: A qualitative case study of faculty, staff, and
Keating, Jessica Rivera, Louie Rodriguez, Deana Pennington, Elsa Villa,John Wiebe, Lucina Zarate. The authors would also like to thank the reviewers who contributedto improving the paper's quality.This material is based upon work supported by the National Science Foundation under Grant No.2122607 Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the author(s) and do not necessarily reflect the views of the National ScienceFoundation.References[1] A. S. Bryk, “2014 AERA Distinguished Lecture: Accelerating How We Learn to Improve,” Educational Researcher, vol. 44, no. 9, pp. 467–477, 2015, doi: 10.3102/0013189X15621543.[2] A. Kezar, “Higher Education Change and Social Networks: A Review of
personal life. Additionally, the experiential nature of PBL allows students toencounter challenges, problems, or conflicts like those they may face in the corporate world, allwithin the secure environment of the classroom. This experiential learning model enables themto solidify knowledge through real-world problem-solving. This sentiment is reflected in thestatement from interviewee 1: “The student connects the content given with a real problem that can be encountered in everyday life, which helps in the construction and retention of knowledge.” [interviewee 1] Also, in the statement of interviewee 5, there is: “The student himself will identify
judgements), the appreciation of the idea (appreciatingfeedback) and managing the emotions associated with the idea (managing affect). Thus, anappropriate framework for idea acceptance would comprise of the same three areas, justworded to reflect their association to any idea as opposed to feedback literacy. This modelcan be seen in Figure 3. Apprecia�ng the Topic Evalua�ng the Idea Managing Affect Idea AcceptanceFigure 3: The Proposed Idea Acceptance Model. The model contains three dimensions: Appreciating the Topic, Evaluatingthe Idea and Managing Affect. All three dimensions are required to achieve Idea Acceptance.This model is also inspired by the