18 research outputs found
Learner Analytics and Student Success Interventions
No full textThe implementation of analytics in support of student success requires effective use of feedback and interventions, as well as a system by which the use of feedback and institutional supports can be tracked and evaluated.This accepted article is published as Pistilli, M. D. (2017). Learner analytics and student success interventions. In J. Zilvinskis & V. Borden (Eds.), Learning analytics in higher education. New Directions for Higher Education (2017);179;43-52. Doi: 10.1002/he.20242. Posted with permission. </p
Guiding Early and Often: Using Curricular and Learning Analytics to Shape Teaching, Learning, and Student Success in Gateway Courses
No full textThis chapter provides information on how the promise of analytics can be realized in gateway courses through a combination of good data science and the thoughtful application of outcomes to teaching and learning improvement efforts—especially with and among instructors.This accepted article is published as Pistilli, M. D. & Heileman, G. L. (2017). Guiding early and often: Using curricular and learning analytics to shape teaching, learning, and student success in gateway courses. New Directions for Higher Education, 180(2017); 21-30. Doi: 10.1002/he.20258. Posted with permission. </p
Data, data everywhere: Implications and considerations
No full textLearning Analytics in Higher Education provides a foundational understanding of how learning analytics is defined, what barriers and opportunities exist, and how it can be used to improve practice, including strategic planning, course development, teaching pedagogy, and student assessment. Well-known contributors provide empirical, theoretical, and practical perspectives on the current use and future potential of learning analytics for student learning and data-driven decision-making, ways to effectively evaluate and research learning analytics, integration of learning analytics into practice, organizational barriers and opportunities for harnessing Big Data to create and support use of these tools, and ethical considerations related to privacy and consent. Designed to give readers a practical and theoretical foundation in learning analytics and how data can support student success in higher education, this book is a valuable resource for scholars and administrators.This accepted book chapter is published as Pistilli, M. D. (2018). Data, data everywhere: Implications & Considerations. In J. Lester, C. Klein, A. Johri, & H. Rangwala (Eds.), Learning analytics in higher education: Current innovations, future potential, and practical applications. Chapter 8 (pp. 160-186). New York: Routledge. Doi: 10.4324/9780203731864. Posted with permission.</p
Learning Communities: A Sound Investment in Higher Education
No full textUniversity and college leaders are tasked with enhancing student outcomes with fewer resources. Student retention is one such key outcome of interest for many policy makers as well as for university administrators. Over the years, administrators have turned to High Impact Practices (HIPs) such as Learning Communities (LCs) to aid in retention. This quantitative study explores the impact LCs have on student retention at a large R1 university in the Midwest. Additionally, the financial return on investment in LCs at this institution is measured via tuition dollars generated from students who are retained as a result of their participation in a LC at the institution. Two key findings of this study are that LCs are positively associated with increased odds of student retention, and that investing in LCs makes good financial sense. Our research contributes to the scholarship on retention attributable to LCs and provides researchers and practitioners with a “template” to evaluate the efficacy of specific retention initiatives in relation to their financial return on investments.This accepted article is published as Gwebu, K. (KB), Compton, J., Holtman, K., Kollasch, A., Leptien, J. R., Pistilli, M. D., & Shelley, M. (2024). Learning Communities: A Sound Investment in Higher Education. Journal of College Student Retention: Research, Theory & Practice, 26(1), 176-193. https://doi.org/10.1177/15210251211067714. Posted with permission
Ethics and Analytics: Limits of Knowledge and a Horizon of Opportunity
No full textThe realms of academic and learning analytics are in need of ethical frameworks to address issues associated with student autonomy, information confidentiality, and predictive modeling. This interactive session will involve small-group discussion surrounding a frontier of ethics and its contribution to innovation in and use of new analytics systems
Is your institution ready to innovate with learning analytics?
No full textOnline learning has frequently been exemplified as a revolutionary instrument, particularly in higher education. Similarly, learning analytics has been lauded as a means to identify students who need help, empower students to be more independent, and personalize the learning experience. Online learning and learning analytics blend nicely in education\u27s quest for a transformational paradigm and, while conceptually appealing, institutions should be deliberate in their decision to adopt learning analytics. Institutional readiness for learning analytics is a complex endeavor involving a broad spectrum of resources and skills. Institutional reflection and self-study may allow stakeholders to set more realistic implementation goals. We\u27ll discuss the broad idea of institutional capacity and readiness for successful learning analytics innovations.
Learning Objectives: Understand the broad concepts and themes associated with learning analytics readiness | Understand the complex nature of scalable and sustainable learning analytics initiative
