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Название: Data and Analytics for Instructional Designers
Автор: Megan Torrance
Издательство: Association for Talent Development
Год: 2023
Страниц: 228
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.4 MB
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. 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!
Автор: Megan Torrance
Издательство: Association for Talent Development
Год: 2023
Страниц: 228
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.4 MB
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. 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!