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
influences from socializers mayinteract with students’ motivation to persist in STEM. Alternatively, future work couldexperiment with facilitating these interactions to improve motivation. Further empirical insightsthat unpack the dynamics of different socializer-interactions can build a deeper understanding ofthe impact of socializers to inform research and practice.References[1] J. P. Martin, D. R. Simmons, and S. L. Yu, “The Role of Social Capital in the Experiences of Hispanic Women Engineering Majors,” J. Eng. Educ., vol. 102, no. 2, pp. 227–243, 2013, doi: 10.1002/jee.20010.[2] National Science Foundation, “U.S. National Science Foundation 2022-2026 Strategic Plan,” 2022.[3] E. McGee and L. Bentley, “The equity ethic
/dhe0000115.[7] I. Ajzen, “The theory of planned behavior,” Organizational Behavior and Human Decision Processes, vol. 50, no. 2, pp. 179–211, Dec. 1991, doi: 10.1016/0749-5978(91)90020-T.[8] B. Latané and J. M. Darley, The Unresponsive Bystander: Why Doesn’t He Help? New York, NY: Appleton-Century Crofts., 1970.[9] T. S. Harding, M. J. Mayhew, C. J. Finelli, and D. D. Carpenter, “The Theory of Planned Behavior as a Model of Academic Dishonesty in Engineering and Humanities Undergraduates,” Ethics & Behavior, vol. 17, no. 3, pp. 255–279, Sep. 2007, doi: 10.1080/10508420701519239.[10] M. E. Matters, C. B. Zoltowski, A. O. Brightman, and P. M. Buzzanell, “An Engineering Faculty and an Intention to Make Change for Diversity and
(PAL) or Peer AssistedStudy Sessions (PASS). The implementation of the SI model at UMKC was deemed successfuland expanded to other courses [1], [3]. As of 2008, the SI model is used in 29 countries and over1500 universities [4]. SIs are considered a resource for both students and instructors to enhanceundergraduate courses. These PAL models, where certain students are selected to assist inenhancing education, were implemented at the University of South Alabama in the College ofEngineering (COE). The SI model is associated with the following courses: Statics, Mechanicsof Materials, Economics and Ethics, Dynamics, Engineering Thermodynamics, ElectricalCircuits, Fluid Mechanics, and Material and Energy Balances. A point of interest for
, Office Hours Management, Upholding Academic Integrity, Design ofGeneral Rubrics, Active Learning Strategies, and Support for Student Mental Health. Additionaltopics included Ethics in Education, Student Motivation, and Leadership in the classroom,enhancing Pedagogical and Pedagogical Content Knowledge and overall GTA preparedness[31].To facilitate reflective learning, the course incorporated seven bi-weekly written assignments.These assignments required the GTAs to introspect and document their personal teachingexperiences, drawing direct correlations with the theoretical concepts and strategies discussed inthe weekly sessions.Furthermore, the course offered an optional Service Learning project. This project was designedas a practical
leaders expressed strong concerns about encouraging their students to applyfor the BOAST program without knowing ahead of time what participation would mean forstudents in terms of time and effort commitment; therefore, randomization of schools withapplicants was decided to be ethically questionable. As a result, analysis to create like-school-pairs was performed to approximate random assignment to reduce the potential for unobservedvariable bias. Of particular concern were differences between treatment and control groups instudent interest in STEM; thus, the opportunity was similarly advertised at schools in bothconditions as a set of STEM-focused activities occurring outside regular school hours. It isunknown the extent to which student
learningapproaches. Rule-based systems offer transparency, control, and ease of implementation butlack adaptability and scalability. In contrast, reinforcement learning provides personalization,flexibility, and scalability but faces challenges such as data efficiency, training complexity,and ethical considerations. v. proposed approach We introduce a novel learning system thatutilizes individualized affect-performancepatterns to guide educational interventions,with the goal of enhancing learningoutcomes. Our method integrates computervision and time-series algorithms, focusingon localized facial expressions for improvedmodel adaptability and flexibility. Prior work Figure 1: Overview of the proposed adaptiveoften classifies emotions into a limited
that hadobtained ethics clearance from the Canadian university, the site of the study. We began thesefocus group sessions by asking students to describe a course experience where they felt theylearned effectively and explain how they knew they were learning effectively. When wecompleted the fifth focus group, we found that there was much repetition from the first fourinterviews, which suggested a point of data saturation. During the interview, the researchersintentionally recapped some of what they had heard in their own words and checked with theparticipants about these interpretations. A major limitation in our data collection process was thatwe did not explicitly ask if the focus group participants felt that any of their experiences mightbe
Media Panopticon,” The Macksey Journal, vol. 1, no. 177, 2020.[14] E. Buchanan, “Ethical decision-making and internet research,” Association of Internet Researchers, 2012.[15] Datafication and empowerment: How the quantified self movement can help us be more human. Big Data & Society.[16] A. S. Franzke, A. Bechmann, M. Zimmer, C. Ess, and the Association of Internet Researchers, “Internet Research: Ethical Guidelines 3.0,” 2020.[17] J. P. Carpenter, R. Kimmons, C. R. Short, K. Clements, and M. E. Staples, “Teacher identity and crossing the professional-personal divide on twitter,” Teaching and Teacher Education, vol. 81, pp. 1–12, May 2019.[18] E. Heidari, G. Salimi, and M. Mehrvarz, “The influence of online social
why of program-level curricularexperiences’ roles in evolving lifelong learning orientations.AcknowledgementsWe would like to acknowledge the Office of the Dean in the Faculty of Applied Science andEngineering, University of Toronto, for their generous support of our research. We would alsolike to thank everyone who supported the survey development and administration and all alumniwho took the time to participate in the interviews and survey. All procedures performed instudies involving human participants were in accordance with the ethical standards of theUniversity of Toronto Office of Research Ethics. ReferencesBibliography[1] M. V. Jamieson and J. M. Shaw, “Teaching engineering for a changing
the goal of offering evidence-basedpractices for countering marginalization in engineering communication practice and research. 2. Literature review and identified gapAs a profession, engineering is dominated by teamwork. In academic contexts, engineering educatorsattempt to provide meaningful teamwork experiences for students to prepare them for the profession. Theemphasis on teamwork as a learning outcome has recently increased (ABET, 2012; Patil & Codner,2007), with team projects spanning the entire engineering curriculum from first-year courses to capstonecourses (Froyd, 2005). As a learning outcome, teaming is linked to a wide range of professional skills,including communication, ethics and lifelong learning (Borrego et al., 2013
clubs, internships or co-ops, undergraduate research, study abroad, etc. [1, 3, 18].As suggested by previous researchers, co-curricular involvement has been linked to a range ofpositive student outcomes, including: career-related professional skills acquisition andcompetencies developed, such as communication, leadership, and teamwork [3, 5, 16], academicachievement and persistence [19], ethical development [18], and cognitive development [20, 21].Students, for example, are aware of the importance of co-curricular experiences in their futureemployment [22]. In a recent study, Jackson and Bridgstock [23] investigated students’perceptions of the impact of certain activities on enhancing undergraduate graduates’employability at three Australian
universities and the influence of the politics of these areas. Thisincludes managerial ethics and the impact of local/state/national politics on academia. “My concerns are on ethical principles of some people involved in academia, groupism.”Analysis of Question Set #1 (Questions 1& 2)Though some of the responses to these questions may have been influenced in how respondentsresponded to a set of Likert scale questions regarding their perceptions of their preparedness toteach, there are still some important notes regarding the responses. For instance, while none of theLikert scale questions mentioned positional availability, a plurality of responses to the questionregarding concerns for academia mentioned the difficulty to achieve a faculty
such tools to complete school assignments (creative writing,coding, etc.) [9][10] [11]; other studies surveyed the concerns regarding ethics, academicintegrity, equity of accessibility, new opportunities such tools present [12][13], as well aspolicies and guidelines provided by universities [14]. While the majority of research focus isgiven to students' use and how to address the associated risks and concerns, relatively less focusis shed on its use for instructional design purposes [15] [16]. The authors are curious about theother side of the story: Can it assist us educators as a “subject matter expert”, with its access toand “comprehension” of a vast library of knowledge? And how can we leverage its evolvingpower in curriculum and course
affective domainwas published in 1964 and focused on students’ attitudes, values, and interests, and how thoseare developed through teaching and learning methods [6]. In the engineering contextspecifically, the affective domain frequently focuses on collaboration, confidence, curiosity,persistence, motivation, and professional ethics [7] [8]. Wilson, in their essay in [4, p. 57], refersto affective outcomes as the “great mediators of engagement”, and argues specifically thatstudents’ sense of belonging and feelings of academic fulfillment can lead to improved academicperformance. Improvements to student affect in the classroom can quickly erode whentransitioning to new environments, like the workplace: “the road of affect is continually in needof
-grant and Hispanic Serving Institutions. Subbian’s educational research is focused on asset-based practices, ethics education, and formation of professional identities.Francesca A L´opez, Penn State University ©American Society for Engineering Education, 2024 Appreciative Inquiry as an Intervention for Equity-Centered Engineering Education Research and Praxis1. IntroductionAppreciative Inquiry (APPI) is an asset-based research approach that has been used in a range ofdomains, including organizational development, public health, and education, to study andfacilitate social change in organizations and communities [1], [2], [3]. APPI is grounded in socialconstructivist theory, which suggests
composites, broadening the participation of women and underrepresented minorities in engineering, and understanding the relationship between teamwork experience and team disagreements in the formation of engineering identity among diverse students.Dr. Stephanie Claussen, San Francisco State University Stephanie Claussen is an Assistant Professor in the School of Engineering at San Francisco State Univer- sity. She previously spent eight years as a Teaching Professor in the Engineering, Design, and Society Division and the Electrical Engineering Departments at the Colorado School of Mines. Her research interests lie in sociotechnical teaching and learning, students’ and engineers’ perceptions of ethics and social
, doi: 10.1002/jee.20480.[47] P. S. Lottero-Perdue and J. Settlage, “Equitizing engineering education by valuing children’s assets: Including empathy and an ethic of care when considering trade-offs after design failures,” Journal of Pre-College Engineering Education Research (J-PEER), vol. 11, no. 1, May 2021, doi: 10.7771/2157-9288.1280.[48] D. Verdín, J. M. Smith, and J. Lucena, “Funds of knowledge as pre-college experiences that promote minoritized students’ interest, self-efficacy beliefs, and choice of majoring in engineering,” Journal of Pre-College Engineering Education Research (J-PEER), vol. 11, no. 1, Jun. 2021, doi: 10.7771/2157-9288.1281.
Institutes of Health,” eLife, vol. 10, p. e65697, Jan. 2021, doi: 10.7554/eLife.65697.[5] K. R. Stevens et al., “Fund Black scientists,” Cell, vol. 184, no. 3, pp. 561–565, Feb. 2021, doi: 10.1016/j.cell.2021.01.011.[6] L. Souder, “The ethics of scholarly peer review: a review of the literature,” Learn. Publ., vol. 24, no. 1, pp. 55–72, 2011, doi: 10.1087/20110109.[7] R. F. Bornstein, “Improving what is published: Toward an evidence-based framework for manuscript review.,” Arch. Sci. Psychol., vol. 9, no. 1, p. 1, 20210701, doi: 10.1037/arc0000076.[8] L. Bornmann and P. Mungra, “Improving peer review in scholarly journals,” Eur. Sci. Ed., vol. 37, pp. 41–43, May 2011.[9] K. Watts, G. Lichtenstein, K. Jensen, E. Ko, R. Bates, and
that includessocial justice aspects of science and engineering education. Though not explicit in many STEMcurricula, engineers design systems that have far-reaching societal effects. Designinginstructional materials that consider the political effects of engineering in STEM educationencourages students who may become future engineers to think about ethical concerns inengineering early in their careers.Design ImplicationsThis game, with varying levels of complexity, is for students from the upper elementary to theundergraduate level. With younger age groups, the focus of the game is on collaborative effortsto redesign the transit system for their community and assessing their system. For older students,additional layers of complexity can be
further research into how students learn to frame engineering designproblems and what role framing plays in their professional formation.Introduction and Research PurposeDeveloping the ability to design solutions to problems is key for engineering students learning tobe professionals [1]. Many design experiences happen in the first-year and senior year courses,though increasingly they are being incorporated into courses along the entire program [2]–[4].Instructors must make many decisions when developing design challenges, not all of which areclear. For instance, in senior capstone design, faculty commonly contend with ABETrequirements, ethics, project management, appropriate scope, appropriate technical content, andteam dynamics [5]–[7]. With
. They then iteratively defined the learning challenges from the student perspective,came up with ideas to address their challenges, and generated low-fidelity prototypes to describea reimagined learning experience. These prototypes were tested with the same students whoparticipated in the initial interviews as part of focus group sessions for each specfic course. Thefeedback received from participants was then used to improve prototypes that could beimplemented in the classroom.Figure 1: A storyboard illustrates each phase of the research study that used a design thinkingapproach to identify and address student learning challenges.The protocol was approved by the McMaster Research Ethics Board.ParticipantsThree students who had previously
, 2022, doi: 10.1080/15210960.2022.2127396.[30] J. A. Conti and M. O’Neil, “Studying Power: qualitative methods and the global elite,” Qualitative Research: QR, vol. 7, no. 1, pp. 63–82, 2007.[31] D. K. King, “Multiple jeopardy, multiple consciousness: The context of a black feminist ideology,” Signs: Journal of Women in Culture and Society, vol. 14, no. 1, pp. 42–72.[32] H. Chang, F. Ngunjiri, and K.-A. C. Hernandez, Collaborative Autoethnography, First. Routledge, 2013. [Online]. Available: https://doi.org/10.4324/9781315432137[33] J. Saldana, The coding manual for qualitative researchers, Third. Los Angeles, CA: SAGE Publications Ltd, 2015.[34] J. C. Lapadat, “Ethics in Autoethnography and Collaborative Autoethnography
phenomenological study [10] was to describe the lived experiences ofinternational engineering graduate students who had to switch to a new research group tocomplete their studies in the US. In this study, the lived experiences of the graduate students wasdefined as the meaning students attributed to their experiences and the description of theirphysical, emotional, and psychological states as they navigated the new research laboratory andadapted to its work ethics and cultural and social norms.Positionality Researchers undertaking phenomenological studies must identify and articulate theirpositionalities [11]. Declaring our positionalities will help us set aside our experiences and focuson the research topic and process [12],[13]. The first author
Paper ID #41797Appraising the Impact of Dialogical Pedagogy and Curriculum Co-Design: AConversation Between the Humanities and EngineeringDr. Brainerd Prince, Plaksha University Brainerd Prince is the Associate Professor and the Director of the Center for Thinking, Language and Communication at Plaksha University. He teaches courses such as Reimagining Technology and Society, Ethics of Technological Innovation, Technology and the Anthropocene, and Art of Thinking along with communication courses for undergraduate engineering students and Research Design for PhD scholars. He completed his PhD on Sri Aurobindo’s Integral
tives, stating results. estimation. Basic concepts about various types of software development organizational structures. HW2 Software development time estimation, soft- Clarifying meaning, analyzing 4/6 ware task scheduling, critical path method, arguments, drawing conclusions, Cumulative Flow Diagram (CFD), software stating results. project manager’s ethics.3.2. Statistical AnalysisAfter conducting the data collection, students’ response to each question is mappedto their corresponding number. For example, Extremely low maps to 1, low mapsto 2, medium maps to 3, high maps to 4, and extremely high maps to 5. Due tothe popularity of
engineering George Male Manufacturing engineering Oscar Male Manufacturing engineering Ben Male Manufacturing engineering David Male Manufacturing engineering Jay Male Manufacturing engineering Antigo Male Manufacturing engineering Adrian Male Manufacturing engineering Jones Female Manufacturing engineeringData Collection, Data Analysis, and LimitationsThis present study kept all participants’ confidentiality and anonymity according toethical guidelines. The ethical procedure was approved by the first author’s researchinstitution. The process of data collection was conducted by a focused interview withconvenience sampling and
/10.1080/03043797.2011.637189McClelland, M., Geldhof, J., Morrison, F., Gestsdóttir, S., Cameron, C., Bowers, E., Duckworth, A., Little, T., & Grammer, J. (2018). Self-regulation. Handbook of Life Course Health Development, 275–298.Michaels, J. W., & Miethe, T. D. (1989). Academic Effort and College Grades. Social Forces, 68(1), 309–319.Patron, H., & Lopez, S. (2011). Student Effort, Consistency, and Online Performance. Journal of Educators Online, 8(2). https://eric.ed.gov/?id=EJ941408Rau, W., & Durand, A. (2000). The Academic Ethic and College Grades: Does Hard Work Help Students to “Make the Grade”? Sociology of Education, 73(1), 19–38. https://doi.org/10.2307/2673197Saeed, S., &
. Instruction in the processof learning and time to reflect on their own learning is likely important. Feedback from facultyon the writing process is important so students know that their metacognition is valued. TheENA analysis process used in this research can be replicated using the steps outlined in thispaper.Future WorkFor future work, we plan to extend the positive impact of the epistemic network to other parts ofthe senior paper, such as contemporary issues and engineering ethics. The approach of epistemicnetworks allows us to gain insights on students’ mindset development not only on themselves,but also on the environment around them. This also could include other deliverables in thecurriculum as well, not limited to just these senior papers