How can we prove learning technology works? Randomized controlled trials (RCT) are the gold standard in efficacy research, yet they are costly and raise ethical issues. We can do better. We can democratize research through big data, machine learning and learning science. In this session, a data scientist shares new ideas for how we can structure efficacy research. Can we overcome RCT limitations while preserving rigor? Can we democratize efficacy by making it an intrinsic part of tech design?
- Learn how scientists plan for and structure research designed to measure how a program is affecting student learning.
- Learn how to identify and interpret solid efficacy research.
- Understand how technology and data science are changing how researchers approach efficacy research.
- Shirin Mojarad, Lead Data Scientist, McGraw-Hill Education
Tyler Reed, Director of Communications, McGraw-Hill Education
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