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Engage - Engage eText Analytics

This document provides basic information on how an instructor can access analytics regarding student reading of eTexts in the Engage platform.

NOTE: Offline-reading, including print or mobile, is not tracked. Analytics are currently not available for EPUB eTexts in Engage.

The Engage PDF reader analytics offers useful feedback about student eText use. Such information can be helpful in student conferences and determining whether students are reading assigned material.

Accessing Analytics

  1. Select the View analytics button under the title of your text to view the analytics for that eText:
    A screenshot showing the "View analytics" button under an eText in Engage
  2. An analytics window will open on the Reading tab. The Reading tab will show you who has accessed the title, including how many and which pages they visited and revisited. The Highlights, notes and questions tab will show you how many questions, highlights, and notes they have made.
  3. You can export information from either tab as a .CSV file by clicking Export in the upper right of the window.

A screenshot showing the Engage analytics window on the "Reading" tab indicating which students have read sections of the eText.

More information about Analytics can be found in Unizin's Resources documentation.

Instructors can also view Unizin Engage eText data in the Learner Engagement Analytics Dashboard (LEAD). LEAD aggregates and displays course-level data from Canvas, Kaltura Mediaspace and Unizin Engage eText using Tableau, our institutional data visualization tool. If you’re a principal, auxiliary or supervisory instructor and interested in seeing aggregated student activity data for your course, please check out LEAD.

Keywords:unizin, etexts, data, tracking, offline, reading, learning, analyzing, students, platform, highlights, notes, questions, following   Doc ID:77794
Owner:Learn@UW Madison .Group:Learn@UW-Madison
Created:2017-11-01 06:48 CSTUpdated:2021-10-15 16:04 CST
Sites:DoIT Help Desk, Learn@UW-Madison, Learning Analytics
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