and identity in engineering change after this research experience ● How interaction and communication with graduate student mentors contributes to student sense of belonging.Further, this study raises questions that deserve future study, such as: ● How does mentoring undergrads impact grad students? ● How might training better prepare grad and faculty mentors to supervise REU students? ● Does doing research work contribute to students’ perception of research as a human practice? Given this ability to focus on the nuanced meanings that students draw from theirexperiences, we suggest that this method can better empower students from underrepresentedgroups, whose voices can be buried in large datasets of quantitative
Paper ID #43149Identifying Curriculum Factors that Facilitate Lifelong Learning in AlumniCareer Trajectories: Stage 3 of a Sequential Mixed-Methods StudyNikita Dawe, University of Toronto PhD student in the Department of Mechanical and Industrial Engineering at the University of Toronto, Collaborative Specialization in Engineering Education.Amy Bilton, University of TorontoMs. Lisa Romkey, University of Toronto Lisa Romkey serves as Associate Professor, Teaching and Associate Director, ISTEP (Institute for Studies in Transdisciplinary Engineering Education and Practice) at the University of Toronto. Her research focuses on
connections towardslearning engineering concepts. To achieve this objective the following research question wasexamined, ‘How do undergraduate engineering students understand and perceive learning throughthe cognitive domain of learning?’ A qualitative research design approach was used, and theinterview questions were designed based on the six hierarchy levels of cognitive domain(knowledge, comprehension, application, analysis, synthesis, and evaluation).ProcedureThe different steps used in this study include IRB approval, pilot interview, participantsrecruitment, and conducting interviews are described in this section. First, the study and theinterview protocol were approved by the Institution Review Board (IRB). The pilot interview wasconducted
. Martin, F., & Bolliger, D. U. (2018). Engagement matters: Student perceptions on the importance of engagement strategies in the online learning environment. Online learning, 22(1), 205-222.25. Shackelford, J. L., & Maxwell, M. (2012). Contribution of learner–instructor interaction to sense of community in graduate online education. Journal of Online Learning and Teaching, 8(4).26. Saldaña, J. (2021). The coding manual for qualitative researchers. The coding manual for qualitative researchers, 1-440.27. Kittur, J. & Tuti, S. (2024). Conducting Qualitative Research Study: A Step-by-Step Process. Journal of Engineering Education Transformations. 28. Chakraborty, M., & Muyia Nafukho, F. (2014
following research question wasexamined, ‘How do undergraduate engineering students understand and perceive learning throughthe affective domain of learning?’ A qualitative research design approach was used, and theinterview questions were designed based on the five hierarchy levels of affective domain(receiving, responding, valuing, organization, and characterization).ProcedureThe different steps used in this study include IRB approval, pilot interview, participantsrecruitment, and conducting interviews are described in this section. First, the study and theinterview protocol were approved by the Institution Review Board (IRB). The pilot interview wasconducted with an undergraduate engineering student randomly selected from the population toassess
caring that includes both comfortwith faculty and empathetic faculty understanding from the same author.Discrimination (25 items)Discrimination is an active process that influences belonging in engineering (McGee, 2020). Toaccount for this potential, we adapted and included five items across five different identity-axes(race/ethnicity, gender, sexual orientation, (dis)ability, and socioeconomic status) from Bahnsonet al.’s (2022) work on discrimination in engineering graduate student experiences.Comfort and Team Inclusion (19 items)We believe feelings of discrimination and differences in belonging are also seen through students’comfort and inclusion on their team. As such, we included items based on these topics. Like othersabove, these scales
intothe characteristics of the population. These elements contribute to individuals’ backgroundfactors and influence what might be included or omitted in the pilot survey. For instance, gender-based differences may lead male students to report a greater perceived capacity to complete anundergraduate engineering program compared to their female counterparts [13]. Consequently,both the pilot study and the ensuing questionnaire should incorporate inquiries aboutdemographic information and other pertinent details related to background factors andpersonality variables, ensuring a comprehensive understanding of the surveyed population.Questionnaire DevelopmentAfter formulating a pilot survey, a comprehensive questionnaire can be constructed to delve
reducing bias and enhancing academic integrity. The systemwas piloted in undergraduate chemical engineering courses, providing initial evidence of itsviability. Through a comprehensive analysis comparing student outcomes under traditional andanonymous grading methods, the study seeks to empirically validate the effectiveness ofanonymous grading in improving student performance and psychological well-being,contributing to the development of more equitable educational practices.IntroductionAcademic evaluation has traditionally been dominated by exams and quizzes. While widelyused, these conventional approaches have come under scrutiny for their potential to perpetuateimplicit biases. Among these, the halo and horn effects [1][2] stand out, where an
). Some suggested using case studies for deeperunderstanding (“I think you could delve more into case studies and study them in a moredetailed way so as to get a broader scope of human ideologies, history and perspectives” -Student Q).Many students reported that they overcame their initial negative views of humanities whichthey used to previously find “monotonous” (Student R) or irrelevant to engineering. “Ithought humanities wasn’t very related to science and engineering, but I realise now that asan engineer it is very important to be aware about all these topics” (Student S).Quantitative Data Analysis Figure 1: Box plot for Survey QuestionsStudent Evaluations: The course was piloted for the first time with engineering
andreflect on their community’s strengths and concerns through imagery, fostering critical dialogueand knowledge-sharing [1]. While popularly utilized in medicine, social sciences, and education,its application in engineering education [2–5] and computer science education [6–8] is relativelynew and underexplored. This position paper aims to bridge this gap by presenting acomprehensive account of a pilot study that introduces photovoice to computer science students,showcasing the method’s merits and contributions. It will outline implementation and adaptationof the method’s steps, obstacles faced during its duration, the value derived from the emergentthemes from visual artifacts developed from participants, and the holistic value derived fromactive
program where they designed virtual creatures while considering biomechanics [14].ENA allowed researchers in these projects to quantitatively analyze how components ofKnowledge, Skills, Identity, Values, and Epistemology were related within the communities ofpractice – even in complex learning spaces. This success illustrates the potential of using ENA inpractice-based learning contexts as well.Study ContextTo assess the potential for using ENA and the five epistemic frame elements to analyzepractice-based learning, a preliminary study was carried out at Iron Range Engineering – anABET-accredited upper division engineering program that implements practice-based learning.After completing lower division coursework at a community college, students