Where it is used
Each entry identifies the volume, edition, chapter or appendix in which the work appears.
The evidence behind the series
Follow the research.
Explore every source.
Browse the scientific research and professional literature used across all seven volumes of The Science of Learning for Educators.
7book volumes
8author ranges
1searchable library
Search the collection
Find a paper, author or idea.
Choose an author range, search a title or concept, or narrow the collection by source type. Open any result to see where it appears in the books, read its evidence summary and follow available source links.
1 reference
-
- Vol 2 RE: Chapters 1, 2, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, App E
artificial intelligence in educationlearning sciencesmultimodal learner dataadaptive scaffoldingteacher decision-makingeducator–developer collaborationethical safeguardshuman judgmentJournal article Evidence summaryAt a glance
Luckin and Cukurova argue that artificial intelligence for education should be designed from evidence about human learning, not simply adapted from technically successful applications in other fields. Three case studies illustrate how rich and multimodal learner data can support scaffolding, collaborative problem solving, and teacher decision-making when analysis is guided by learning-science constructs.
Key ideas
The authors caution that data are not self-explanatory: useful models depend on valid interpretations of cognition, emotion, interaction, and context. They propose a co-design ecosystem linking educators, AI developers, and researchers. Educators need enough AI understanding to evaluate systems and articulate classroom needs; developers need stronger knowledge of pedagogy and learning; researchers help establish evidence, measurement, and ethical safeguards. The framework keeps educational values and stakeholder expertise central throughout development and evaluation.
Why it matters
Rather than replacing teachers, well-designed AI should augment human judgment, make otherwise difficult learning processes visible, and enable timely support. The paper ultimately calls for interdisciplinary partnerships that assess educational benefit alongside technical performance.
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.
From sources to a coherent pathway