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BYOL: Teaching Machines—Personalized Learning Using Artificial Intelligence
DevLearn 2017 Conference & Expo - October 26, 2017
Sacred Heart University
The delivery of personalized online training has yet to match the advantages of individual instructor-led training. Most online learning approaches lack the dynamism and customization they need for a learning experience tailored to individuals. Currently, online learning methods rely on adaptive content delivery that falls short of delivering a unique teaching experience. There is a need for a new generation of teaching machines that actually learn from students using artificial intelligence.
In this session, you will learn how to deliver customized online learning using artificial intelligence, and more specifically, deep machine learning. Accordingly, the session will go beyond the traditional adaptive learning process, which uses modular content that is delivered based on reinforcements and assessments. In this approach, participants will interact with a commercial learning management system (LMS), such as Blackboard, that uses deep machine learning to deliver a tailored online learning experience. Thus, participants will have the opportunity to interact with an approach to a new generation of teaching machines that use deep machine learning to learn from students.
In this session, you will learn:
- How to develop teaching machines that uses deep machine learning to train students
- How to develop an online learning repository
- How to integrate a commercial LMS with teaching machines
- How to use commercial content-authoring tools with teaching machines
Intermediate to advanced project managers, managers, directors, and senior leaders (VP, CLO, executive, etc.). Participants should be familiar with the use of a learning management system, such as Adobe Connect, Blackboard, Canvas, or Angel; and with authoring tools such as Adobe Captivate, Articulate Storyline, or TechSmith Camtasia.
discussed in this session:
Blackboard, cloud-based, deep machine learning.
Participants will use their laptops to explore an online learning model that uses deep machine learning.
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