Add Data and Analytics to Your TD Toolkit
Instructional design pro Megan Torrance addresses the importance of
instructional designers accessing and applying learning and performance
data--from how to design learning experiences with data collection in
mind to how to use the data to improve and evaluate those experiences.
With the advance of new learning technologies and data specifications,
instructional designers have access to more and richer data sources than
ever before. With that comes the question of what to do with the data.
While most data and analytics books focus on their application for
measurement and evaluation and assume a prior baseline understanding of
what learning data and analytics mean, Data and Analytics for
Instructional Designers delves into the foundational concepts that will
enable instructional designers and L&D professionals to use data in
their roles.
Split into two parts, the book first defines key data and analytics
terms, data specifications, learning metrics, and statistical concepts.
It then lays out a framework for using learning data for planning how to
gather data and to building scale and maturity in your data operations.
Megan reassures readers that basic math skills with some computer
assistance is what you'll need to get going. So set aside any math
anxiety!
Through a "If I can see it, I can be it" approach to learning data and
analytics, the book blends practical what-is and how-to content with
real-world examples and longer case studies from practitioners. Chapters
conclude with opportunities for you to put these techniques to work
right away, whether you are in a data-rich environment already, or
whether you are just getting started and working on hypotheticals.
