Linda Shepard

Linda Shepard
Indiana University Bloomington | IUB · Bloomington Assessment and Research

Doctor of Philosophy

About

15
Publications
3,424
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94
Citations
Introduction
Skills and Expertise

Publications

Publications (15)
Article
The spread of COVID-19 has caused major disruptions in the higher education space, and colleges and universities faced difficult decisions on how to reopen their campuses. At Indiana University Bloomington, student exposure to other students was reduced by leveraging the existing academic calendar and strategically managing course enrollment networ...
Chapter
Universities across the globe are quickly moving toward the use of learning analytical tools for the improvement of student performance and success. In this chapter we discuss how faculty engagement with learning analytics is critical to its appropriate use within departments and academic programmes. Faculty care deeply about their students and are...
Conference Paper
Full-text available
Network analysis simulations were used to guide decision-makers while configuring instructional spaces on our campus during COVID-19. Course enrollment data were utilized to estimate metrics of student-to-student contact under various instruction mode scenarios. Campus administrators developed recommendations based on these metrics; examples of lea...
Chapter
Faculty adoption of learning analytics is critical to advancing a data-informed culture in higher education. Faculty care deeply about their students and want to make the most of the limited instructional time they have with them. Until recently, it has been difficult for faculty to gauge the broad range of student backgrounds and abilities in thei...
Article
Full-text available
To successfully implement Learning Analytics (LA) systems within higher education, we need to engage administrators, faculty, and staff alike. This paper is by and primarily for practitioners. We suggest implementation strategies that consider the human factor in adopting new technologies by analyzing the viability of our Learning Analytics Fellows...
Conference Paper
Full-text available
Post-secondary institutions are rapidly adopting Learning Analytics as a means for enhancing student success using a variety of implementation strategies, such as, small-scale, large-scale, vended products. In this paper, we discuss the creation and evolution of our novel Student Learning Analytics Fellows (SLAF) program comprised of faculty and st...
Conference Paper
Full-text available
Post-secondary institutions are rapidly adopting Learning Analytics as a means for enhancing student success using a variety of implementation strategies, such as, small-scale,large-scale, vended products. In this paper, we discuss the creation and evolution of our novelStudent Learning Analytics Fellows (SLAF) program comprised of faculty and staf...
Conference Paper
Full-text available
Advisors assist students in developing successful course pathways through the curriculum. The purpose of this project is to augment advisor institutional and tacit knowledge with knowledge from predictive algorithms (i.e., Matrix Factorization and Classifiers) specifically developed to identify risk. We use a participatory action research approach...
Article
Full-text available
Significant gendered performance differences are signals of systemic inequity in higher education. Understanding of these inequities has been hampered by the local nature of prior studies; consistent measures of performance disparity across many disciplines and institutions have not been available. Here, we report the first wide-ranging, multi-inst...
Conference Paper
Institutional implementation of learning analytics calls for thoughtful management of cultural change. This interactive halfday workshop responds to the LA literature describing the benefits and challenges of institutional LA implementation by offering participants an opportunity to learn about and begin planning for a program to actively engage fa...
Article
Full-text available
Learner-centered approaches to higher education require that instructors have insight into their students' characteristics, but instructors often prepare their courses long before they have an opportunity to meet the students. To address this dilemma, we developed the institutional Student Profile Report, which informs instructors about the demogra...
Chapter
This research focuses on using NSSE (National Survey of Student Engagement) responses to predict student academic success. The analysis is based on 16,630 Indiana University - Bloomington first-year beginner students and seniors who completed the NSSE survey administered from 2006-2012. Logistic regression and linear regression on student backgroun...

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