This module, Data Science and Applications in Educational Research, explores different types of large-scale data available to educational researchers, with a focus on survey data and process data from large-scale assessments, as well as learning analytics. By the end of the module, participants will have a deeper understanding of the differences between survey data and process (or log) data, along with a greater awareness of their relevance and potential within educational research and practice.
Course Content
Section 1
Pre Survey
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DSAER – Module Overview
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DSAER – Glossary
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DSAER – What is data science?
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DSAER – Introducing Educational Data Science
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DSAER – Large-scale Educational Data
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DSAER – The Uses of Process Data in Educational Research
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DSAER – Real time log data and learning analytics
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DSAER – Challenges and Ethical Considerations
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Section 2
DSAER – Additional Readings
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DSAER – Appendix
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Satisfaction Survey
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DATASETUP Module Experience Reflection (submission required in order for the certificate of participation to be made available)
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