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The evidence behind the series
Browse the scientific research and professional literature used across all seven volumes of The Science of Learning for Educators.
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1 reference
This systematic review examines how human-centred principles are represented in learning analytics and artificial-intelligence systems for education.
The authors reviewed 108 papers, focusing on stakeholder participation, the balance between human control and automation, and attention to safety, reliability, and trustworthiness. Although many systems acknowledged a need for human control, students and other target users were often only lightly involved in actual design and development. Safety and trustworthiness also received less attention than usability or technical performance. The review recommends involving educators and learners throughout design and deployment, making decisions about automation explicit, and treating reliability, agency, privacy, and trust as core design requirements.
For schools, the study cautions against adopting data-driven tools solely for efficiency: educational stakeholders should help define the purposes, limits, and acceptable consequences of the technology.
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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