Learning Analytics Tool Chest - About the Tools
Learning analytics (sometimes abbreviated as "LA") are being piloted across the UW System campuses. This document provides a high-level description of the tools that are being offered in this pilot program.
What is Learning Analytics?Learning analytics is the measurement, collection, analysis, and reporting of data about learners and their contexts, for the purposes of understanding and optimizing learning and the environments in which it occurs.
~Society for Learning Analytics Research (or SoLAR)
Learning analytics can help FACULTY leverage the powerful data at their disposal to
truly support a continuum of learners – from those at risk to those
successful students that can be guided to greater heights. Learning analytics can be
successfully applied in large enrollment courses where teachers wish to
provide a more personal level of support but simply cannot because of
the sheer size of the course.
Learning analytics can empower STUDENTS as they progress through
their academic career. They can monitor their progress and risk, get
just-in-time cognitive scaffolds delivered at the moment of learning,
find ways to alter their behavior and find the most effective help
resources, develop personal learning networks, and explore effective
paths to graduation and promising careers.
The UW-System Learning Analytics Tool Chest (LATC)
The UW-System learning analytic pilot program offers campuses and instructors access to several tools from the Learning Analytics Tool Chest (or “LATC”). Instructors may choose one or several tools to pilot for a semester. The Tool Chest currently includes:
| Tool - Description
|Analytics & Recommendation Plug-In:
Course-level tool that provides analytics of activity type within the LMS and recommendations for increased activity for higher (grade) performance. Instructors are able to see single, comparative and global analytics for all students within their course. A&R offers a student-facing dashboard.
|Desire2Learn’s Student Success System (S3):
Course-level predictive analytics tool with dashboarding and visualization.
A quantified-self tool allowing students to track their study and learning behavior/activities, and subsequently rate their productivity. Acquired data then provides reports on most effective combinations for individual student efficacy.
|Workflow Visualization System:
The tool provides visual representation of course design, lesson plans, and individual activities, representing how an instructor intends students to interact with the course - and then provides analytics on those activities.
Description & Features:
- A&R is a tool that provides analytics of various types of activities within D2L and provides recommendations for increased activity for higher (grade) performance.
- Instructors are able to see single, comparative and global analytics for all students within their course.
- A&R also offers a student-facing dashboard; it allows students to compare how they are spending their time to high-performing students (in historical courses).
- It provides recommendations for where students should focus additional effort in the course.
- This is an open-source tool that has been leveraged and extended;it uses historical courses as reference courses (and is the most like Desire2Learn’s Student Success System “S3”).
Currently can be used with: D2L
For more about Analytics & Recommendations, including how to access and use this tool, please check out the Analytics & Recommendations Walkthrough.overview matrix
S3 Description and Features:
- Course-level predictive analytics tool with dashboarding and visualization.
- Instructors use the Student Success System to monitor predictions of student success levels for active and enabled courses on a weekly basis in five possible domains: course access, content access, social learning, assessments, and preparedness.
- The weekly predictions produce a Success Index for every student in the course, letting you visualize and compare potential success rates for your students.
Can be used with: D2L
Description and Features:
- Pattern is an interactive study log (sort of like a FitBit for studying), and provides a simple way for students to measure their own study habits, providing analytics and insights to become a better learner.
- Students track their study and learning behavior/activities, and subsequently rate their productivity.
- Acquired data then provides reports on most effective combinations for individual student efficacy.
- Pattern is a mobile application that creates and curates data rather than relying on LMS data; this is the first tool in our Learning Analytics Tool Chest that moves out of LMS-centric tool space. Available for both iOS and Android devices, as well as a web app.
- Pattern allows us insight into holistic student behavior patterns. The data curated via Pattern may one day be ingested by other LA tools.
Can be used with: Pattern is a standalone application – it’s not integrated with any LMS. It can be used for any course that might be offered in D2L, Moodle, Canvas, or without an LMS.
For more about Pattern, including how to access and use this tool, please check out Study Pattern - Learning Analytics.
Description and Features:
- The Workflow Visualization System provides visual representation of course design, lesson plans, and individual activities, representing how an instructor intends students to interact with the course - and then provides analytics on those activities.
- Instructors have the opportunity to visually diagram their course – at the unit, lesson or activity level.
- This can then be linked to resources or activities within the LMS in a flexible way (not all elements will be in the LMS, or some activities may involve multiple LMS resources).
- Allow instructors to reflect on course design based on actual participation data (see how students actually navigated through activities and units as compared to how the instructor intended them to).
Currently can be used with: D2L
For more about Workflow Visualization, including how to access and use this tool, please check out the Workflow Visualization System User Guide.
To see a demonstration of how to use it, and learn more about the background of this tool, please check out Alan Hackbarth's presentation at the UW-Madison Active Teaching Lab in March.