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Browsing by Author "Lutz, Benjamin David"

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    Development of the student course cognitive engagement instrument (SCCEI) for college engineering courses
    Barlow, Allyson; Brown, Shane; Lutz, Benjamin David; Pitterson, Nicole; Hunsu, Nathaniel; Adesope, Olusola (2020-05-19)
    Background Evidence shows that students who are actively engaged with learning materials demonstrate greater learning gains than those who are passively engaged. Indeed, cognitive engagement is often cited as a critical component of an educational experience. However, understanding how and in what ways cognitive engagement occurs remains a challenge for engineering educators. In particular, there exists a need to measure and evaluate engagement in ways that provide information for instructors to deploy concrete, actionable steps to foster students’ cognitive engagement. The present study reports the development and gathering of validation evidence for a quantitative instrument to measure students’ in-class cognitive engagement. The instrument was informed by Wylie and Chi’s ICAP (Interactive Constructive Active Passive) model of active learning, as well as contextual concerns within engineering courses. Results The process followed the classical measurement model of scale development. We provide a detailed overview of the item development and scale validation processes, focusing on the creation of individual subscales to measure different modes of cognition within learning contexts. Multiple rounds of testing the student course cognitive engagement instrument (SCCEI) in college engineering courses provided evidence of validity. This indicated the reliable measurement of student cognitive engagement in the context of notetaking, processing material, and interacting with peers in the classroom. Results suggest differentiating modes of cognitive engagement is indeed applicable when considering students’ in-class notetaking and processing of material. Conclusions Findings point towards the need for additional engagement scales that expand the instrument’s ability to distinguish between particular activities within a mode of engagement as defined by ICAP. The present study contributes to the growing body of literature on cognitive engagement of engineering students. Results address the development of measurement tools with evidence of validity for use in STEM education.
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    Examining Students' Metacognitive Awareness Through Analysis of Student-generated Learning Responses
    Goldberg, Saryn R.; Rich, Jennifer; Masnick, Amy; Paretti, Marie C.; Groen, Cassandra J.; Lutz, Benjamin David; McNair, Elizabeth D. (2016-06-27)
    This work-in-progress provides a preliminary exploration of students’ metacognitive monitoring abilities by analyzing written self-evaluations of statics problems. Metacognitive approaches to learning encourage students to examine their own thinking processes as a means of deepening their understanding. We used qualitative coding to analyze students’ level of metacognitive awareness regarding both their ability to solve a given problem and their ability to identify sources of error. The full data set includes 10 response sequences (homework solution and student writing about their solution) from 69 students. In this paper, we present the analysis of two of these sequences, one from early and one from later in the semester. The findings show that for both assignments, about half the students recognized their inability to solve the problems correctly, though in both cases the groups were split between those who could accurately identify one or more sources of error and those who could not. This finding points to the need for teaching practices that can help students develop the ability both to accurately assess their performance and, perhaps more importantly, identify sources of error and confusion that can then lead to successful learning.
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    Into the Workplace: Exploring the Learning Experiences of Newcomer Engineers during the School-to-Work Transition
    Lutz, Benjamin David (Virginia Tech, 2017-06-28)
    Entering a new environment is challenging for everyone, including engineers. Despite national efforts to improve graduates' competencies, managers and other critical industry stakeholders consistently describe new hires as underprepared for practice. Nonetheless, as engineers move into their new organizations, they learn to participate in and contribute to their communities of practice. This period is the school-to-work transition, and the goal of this research is to gain a deeper understanding of the salient learning events that characterize individuals' trajectories from engineering student to engineering practitioner. Using a multi-case approach, this study leverages weekly journals and semi-structured interviews to explore the experiences of recent engineering graduates as they enter the workplace and learn to engage in professional practice. Journal entries probed newcomers' perceptions of challenges, accomplishments, and significant learning events during the first 12 weeks of their jobs. Interviews expanded on journal findings and elaborated on participants' experiences. Analysis entailed the development and application of two complementary workplace learning frameworks from Jacobs and Park (2009) and Chao et al. (1994) that describe both the setting and content of salient learning experiences. Cross-case analysis enabled exploration across participants to examine trends and patterns within participants' experiential trajectories. Findings point to several contributions and implications. First, the codebooks developed in this study were contextualized and operationalized for engineering workplaces, and have been refined to enhance descriptive precision and clarity. Second, journals provided thick, rich descriptions of events in ways that hold promise for future exploratory studies as well as formative assessment. Finally, results indicated that newcomer engineers engage in a wide range of learning environments throughout the school-to-work transition and describe learning along myriad socialization dimensions. In particular, workplace learning takes place in unstructured environments through routine tasks and along both technical and sociocultural dimensions. Given this learning, both industry and academic professionals should consider these dimensions as they design experiences and assess learning across organizations. Newcomer learning is challenging, but if we can gain a better understanding of how and what happens during it, we can more effectively develop efforts to enhance the transition—and therefore, practice—for future generations of engineers.