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Learning Analytics Storytelling through Data Visualization: A Comparative Analysis of Practitioner Reports
PROCEEDING

, University of North Texas, United States

Innovate Learning Summit, in Online, United States ISBN 978-1-939797-59-9 Publisher: Association for the Advancement of Computing in Education (AACE)

Abstract

Presenting learner data visually has gained increasing attention in the learning analytics community. There are multiple data visualization techniques and tools available for analysts to explore big data. The purpose of this study is to classify the types of data visualizations used by learning analysts when conveying their findings in practitioner reports. By doing so, learning analysts can gain knowledge and assess how their data visualization techniques compare. The comparative analysis shows a significant increase in the use of data visualization to convey findings, in addition to an increase in the types used from 2016-2021. Data visualization utilizing analytical software is included in the conference presentation. Future directions for this study include qualitative research to determine if the field of learning analytics should adopt certain data visualization techniques that embrace storytelling over others, and exploratory interviews to see what lies ahead for visual learning analytics.

Citation

Williams, K. (2021). Learning Analytics Storytelling through Data Visualization: A Comparative Analysis of Practitioner Reports. In T. Bastiaens (Ed.), Proceedings of Innovate Learning Summit 2021 (pp. 71-74). Online, United States: Association for the Advancement of Computing in Education (AACE). Retrieved November 29, 2021 from .