strategies include using real-world contexts, and in the learningdesign of the study, students would be working on a real-world research project with real data.Zimmerman and Moylan [18] provide a cyclical phase model of self-regulation that maps theseconstructivist strategies to different phases in self-regulation, as shown in Figure 1. It presents acyclic feedback loop between the forethought phase, performance, and self-reflection phase. Figure 1. Cyclic Phase Model of Self-RegulationThe first phase, forethought is a preparation step for self-regulated learning. It involves taskanalysis through goal setting and strategic planning and Self-motivation through self-efficacy,outcome expectations, task interest, and goal
. The goal is to provide insights that will help framefuture studies of students who do not value engaging with or belonging in their engineeringprograms to the detriment of their professional formation as engineers.Literature ReviewSense of Belonging and Persistence At a fundamental level, humans have the desire to belong. The desire for interpersonalrelationships has an additive effect on that desire. Previous research on students’ academicsuccess has primarily focused on the interaction between students’ sense of belonging,motivation, self-efficacy, and perception of curriculum [1], [2]. On the college campus andwithin STEM classrooms, several characteristics are known to commonly exhibit a positiveeffect on students’ sense of belonging
, such as calculus, they may endorse a more incrementalview of their abilities that manifest as a growth mindset. Even within the same domain (i.e., astatics course), students may exhibit elements of a growth mindset in one topic area, but fixedviews of their abilities in another. The types of mindset students endorse have implications forhow they view and respond to challenging tasks, their persistence in a difficult engineering class,and their motivation to pursue engineering [1], [4]. Situational factors, such as feeling threatenedor facing a challenge, can provoke an individual to take on a certain mindset [5].There are linkages between students’ growth mindset and various success measures. For example,studies of elementary and secondary
conversationsthrough social media platforms in the context of engineering education? Engineeringeducation pathways contain many dimensions, as shown by several studies. One investigationwas into the elaboration of self-concept and self-efficacy in engineering education,highlighting differences and suggesting frameworks for improving first-year retention [5].Another study critically investigates language in discussing inequity, signifying atransformation from "underrepresented minority" to "Excluded Identities" to address systemicissues [6]. Finally, another study with a comprehensive approach created a pathway programaligning with national models to increase engineering graduates through peer support andskill development [7]. Evidence from the literature
, students completed the formalized procedure for ethical reasoning as studentsbalanced the ethical principle among real-world constraints and alternate perspectives from peerdiscourse [10], [48]. This both implicitly showed that ethical principles need to be contextualizedand provided a site for data collection for future studies on ethical reasoning in a ReflexivePrinciplism-integrated pedagogical framework. As students wrote an argument, this further builtcommunication skills, self-efficacy, and confidence. While it is a simple post-decision-makingstep, the cultivation of strong communication skills is often missed in courses that promoteethical development, ethical reasoning, or basic ethics knowledge [25].4.8. Private take-home reflectionsTo
Denise Wilson is a professor of electrical engineering at the University of Washington, Seattle. Her research interests in engineering education focus on the role of self-efficacy, belonging, and other non- cognitive aspects of the student experience on e ©American Society for Engineering Education, 2023 Is Natural Language Processing Effective in Education Research? A case study in student perceptions of TA supportAbstractNatural language processing (NLP) techniques are widely used in linguistic analysis and haveshown promising results in areas such as text summarization, text classification, autocorrection,chatbot conversation management, and many other applications. In education, NLP
Paper ID #44099How Should Teaching Assistants Teach? Differences in Student Perspectivesby Gender, Race/Ethnicity, and Country of OriginDr. Denise Wilson, University of Washington Denise Wilson is a professor and associate chair of diversity, equity, and inclusion in electrical and computer engineering at the University of Washington, Seattle. Her research interests in engineering education focus on the role of self-efficacy, belonging, and instructional support on engagement and motivation in the classroom while her engineering workplace research focuses on the role of relatedness, autonomy, and competence needs on
on an individual’s self-efficacy intheir ability to execute the desired behavior. While these three beliefs designations may notalways accurately predict behavior, research has shown these types to contribute the most. Otherresearch suggests that iterative self-reflection and reconciliation of our past behavior can helpdevelop more robust beliefs about our future actions [15].Beliefs occur at both a conscious (espoused) and subconscious (implicit) level which are derivedfrom our socialization [29]. It is difficult to effectively study implicit beliefs, making them a wildcard when comparing an individual’s beliefs to their behaviors. This is problematic forresearchers because our implicit beliefs may influence our actions, but our conscious