515 BYOL: Teaching Machines—Personalized Learning Using Artificial Intelligence
1:15 PM - 2:15 PM Thursday, October 26
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.
Sacred Heart University
Jose Mendoza is an assistant professor of marketing in the Jack Welch College of Business at Sacred Heart University. Jose has more than 20 years of experience managing marketing programs around the world, including Africa, Asia, the Americas, and Europe. His experience encompasses the spirits industry—managing such brands as Stolichnaya and Absolut vodkas and Malibu Rum and Kahlua liqueurs—as well as IT, banking, and soft drinks. He is a member of several global marketing organizations, including ESOMAR, Academy of Marketing Science, Marketing Science Institute, American Marketing Association, and Academy of Management. Jose holds a doctorate in business administration.