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The evidence behind the series
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Browse the scientific research and professional literature used across all seven volumes of The Science of Learning for Educators.
7book volumes
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1 reference
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- Vol 7 RE: Chapters 10, 13, 14, 15, App B, App D
learning analyticspredictive modellingmultimodal analyticsself-regulation analyticshuman-centred feedbackdata literacyalgorithmic fairnesslearning data governanceEdited book Evidence summaryAt a glance
This open, peer-reviewed handbook surveys learning analytics as a field concerned with collecting and interpreting data to understand and improve learning.
Key ideas
Its chapters introduce definitions and foundations, measurement, predictive modelling, network, language, multimodal, and temporal methods, and applications to self-regulation, collaboration, writing, discourse, assessment, and institutional decision-making. Later sections address implementation at scale, data literacy, fairness and bias, human-centred feedback, policy, privacy, and global K–12 perspectives. Across these topics, contributors repeatedly connect analytic techniques to learning theory, educational purposes, stakeholder interpretation, and responsible action rather than treating prediction as an end in itself. The volume is a field-level synthesis written by many authors, not evidence that every analytics intervention improves outcomes.
Why it matters
For educators and leaders, its key contribution is a map of design choices and risks: clarify the learning problem, select valid indicators, involve intended users, interpret data in context, evaluate consequences, and attend to equity, agency, and governance when analytics are deployed.
A transparent research trail
More than a bibliography.
What it contributes
Evidence summaries explain the central idea and why the source matters to educators.
How to access it
Entries link to lawful full text where available, or to a publisher, library or purchase page.
Edition abbreviations
- TE
- Teacher Edition
- PE
- Practice Edition
- RE
- Research Edition
Citation checks
References are checked against publisher records, scholarly indexes, DOI or ISBN metadata, repositories and author records where available. An entry marked [Citation not verified] preserves the wording found in the relevant volume without attributing findings to an unconfirmed work.
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