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Utah State University

Instructional Technology and Learning Sciences Faculty Publications

Patterns

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Full-Text Articles in Education

Identifying Faculty And Peer Interaction Patterns Of First-Year Biology Doctoral Students: A Latent Class Analysis, Soojeong Jeong, Jennifer M. Blaney, David F. Feldon Nov 2019

Identifying Faculty And Peer Interaction Patterns Of First-Year Biology Doctoral Students: A Latent Class Analysis, Soojeong Jeong, Jennifer M. Blaney, David F. Feldon

Instructional Technology and Learning Sciences Faculty Publications

Faculty and peer interactions play a key role in shaping graduate student socialization. Yet, within the literature on graduate student socialization, researchers have primarily focused on understanding the nature and impact of faculty alone, and much less is known about how peer interactions also contribute to graduate student outcomes. Using a national sample of first-year biology doctoral students, this study reveals distinct categories that classify patterns of faculty and peer interaction. Further, we document inequities such that certain groups (e.g., underrepresented minority students) report constrained types of interactions with faculty and peers. Finally, we connect faculty and peer interaction patterns …


Where In The World? Demographic Patterns In Access Data, Mimi Recker, Beijie Xu, Sherry Hsi, Christine Garrard Jun 2010

Where In The World? Demographic Patterns In Access Data, Mimi Recker, Beijie Xu, Sherry Hsi, Christine Garrard

Instructional Technology and Learning Sciences Faculty Publications

Standard webmetrics tools record the IP address of users’ computers, thereby providing fodder for analyses of their geographical location, and for understanding the impact of e-learning and teaching. Here we describe how two web-based educational systems were engineered to collect geo-referenced data. This is followed by a description of joining these data with demographic and educational datasets for the United States, and mapping different datasets using geographic information system (GIS) techniques to visually display their relationships. Results from statistical analyses of these relationships that highlight areas of significance are given.