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Welcome to IntelliBoard Pro. In this guide, you'll discover how to leverage the robust analytics capabilities of IntelliBoard Pro to gain valuable insights into your learning environment. We'll explore key features, demonstrate data interpretation, and share best practices for maximizing the impact of IntelliBoard Pro in your endeavors and unlock the transformative power of data-driven insights with IntelliBoard Pro.

Managers and Advisors will find this guide indispensable for leveraging real-time learning engagement data from the LMS, deploying a consistent notification strategy, and monitoring learner progress. This guide assists in identifying at-risk students across multiple courses, tracking overall activity and progress for individual students, predicting potential at-risk learners early, correlating communication strategies with course success, and prioritizing student outreach based on critical needs.

Some of the features may not be available based on permissions settings in your account. Contact your IntelliBoard Administrator for more information.

Learn more about the Advisor Persona

Academic advisors are key advocates for learner success, providing personalized guidance and support throughout a learner's educational journey. They work closely with learners to monitor academic progress, identify at-risk individuals, and intervene when necessary. With data-driven insights, advisors can track learner engagement, predict potential risks, and facilitate timely communication, ultimately improving retention rates and learner outcomes.

Key Responsibilities

Challenges

Common Questions

Datasets

Logging in and updating information

The most frequently asked questions to get started with IntelliBoard Pro.

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Enable Two-Factor Authentication

Using Dashboards and Reports

IntelliBoard Pro comes equipped with dashboards, reports, and charts to quickly visualize data.

Most used datasets with critical data identified by Organizational Role.

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titleMost Critical Datasets for Advisors and Managers

IntelliBoard has identified the most used datasets with the most critical information for Advisors and Managers. Click the link below to learn more about each dataset.

Learner Course Progress Monitoring Report

Learner Success Dashboard

Inactive Learners in Courses Dashboard

Learners At-Risk Courses

Learners Average Grades Distribution

Learner Activity Submission Progress

Inactive Learners in Courses

At-Risk Learners with Course Grade Below 60

Learner Course Summary

Learners Average Course Grade

Missing Learner Submission (Assignment, Forum/Discussion, or Quiz)

At-Risk Learners

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https://intelliboard.atlassian.net/wiki/spaces/KB/pages/2596601857/Persona+Academic+Advisor#Datasets%3A

Library and My Datasets Overview

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Exporting and Printing Datasets

Notification Creator

Notification Creator simplifies the creation and management of notifications. Users can customize messages, target specific recipients, and track engagement metrics. With features like scheduling and multimedia support, it streamlines communication within organizations or communities.

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Set a Unique Signature for Notifications

InContact

InContact is a dynamic feature designed to enhance communication within online learning environments. It offers real-time messaging capabilities, facilitating seamless interaction between instructors and learners. With its user-friendly interface, InContact streamlines communication processes, enabling instant feedback, support, and collaboration.

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Add Additional Student Information

InForm

InForm enables users to import 3rd party information to supplement and support their LMS data that doesn’t automatically or already live in the LMS. It does not integrate the information into your LMS, but lives on IntelliBoard to incorporate into reports and other datasets.

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Import to InForm from SFTP

Create an InForm Table

Predictive Models: Predictive Learning Analytics

The IntelliBoard System, like many predictive learning analytics systems, follows a process: it gathers past data to train a model, then uses current data to make predictions. These predictions are tied to the original data and can be shown in different reports and notifications.

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