Students don’t know what they don’t know. This concept applies not only to academics, but to learners in any environment. This means that educators and developers are constantly developing resources that focus on what they anticipate the learner needs. Adaptive learning technologies are now providing the data that allows us to understand specific knowledge deficiencies. This is not only changing the learning environment, but also the process by which content is generated.

In this session, using data obtained from a large-lecture university science education class, you will be shown how an understanding of knowledge deficiencies is being used by the individual to personalize the learning experience and in the classroom to flip the learning environment. You will learn how the analysis of this data is leading to revisions of content within the textbook, and allowing for the development of continuously updated information. Ultimately, you will experience how data from a single learning experience may be utilized across the entire learning ecosystem.

In this session, you will learn:

• How user data may be used to revise content
• How user data may be used to personalize learning
• How user data may be used to generating micro-learning resources
• How adaptive learning platforms provide data on knowledge deficiencies

Audience:
Novice to advanced designers, developers, project managers, managers, and directors.

Technology discussed in this session:
N/A