Learning Analytics Approaches and Teaching & Learning Tools

This KB document is a companion to the Learning Analytics Functional Taxonomy which considers the question, “why are people using learning analytics?”.  The purpose of this document is to focus on how you can use learning analytics from centrally supported teaching and learning tools to answer a variety of questions.

Introduction

Many of the tools in the Learn@UW suite of tools offer some sort of learning analytics capabilities. Ideas for how to use the analytics across the different learning analytics categories are provided here. Keep in mind, these are just a few ideas and this is not comprehensive. You can think creatively and use many other approaches and methods to obtain data that can provide insightful data to support student success.

Please remember that learning analytics offer a way to visualize patterns of behavior and activity, but cannot provide explanations for those patterns or comparisons. Data from learning analytics tools can be another tool in your toolkit, and can help guide decisions and actions but should never solely dictate them. UW-Madison has approved guiding principles that focus on benefiting students; being transparent about the use of LA; honoring privacy and confidentiality around the use of LA, and minimizing adverse effects.

 Access UW-Madison examples and examples from other institutions on the Learning Analytics Functional Taxonomy 



Keywords:
LA functional taxonomy, LAFT, Learn@UW, teaching and learning tools 
Doc ID:
132364
Owned by:
Kari J. in Learning Analytics
Created:
2023-10-27
Updated:
2024-10-28
Sites:
Learning Analytics