This March 2021 article surveyed education technology ideas involving AI and machine learning. It considered personalised learning, progress tracking, accessibility and support for decisions about further study or careers.
Adaptive tools can use responses and learning history to suggest what to practise next. Speech interfaces and other assistive features offer additional ways to interact with materials. The article also discussed AR and VR experiences, which are related educational technologies but do not inherently require AI.
A learner’s recorded performance is only part of their situation. Recommendations should support the judgement of teachers and students, rather than determine a person’s opportunities. The original piece was optimistic about future adoption. This archive retains its main application areas without presenting its market forecasts or claims about learning outcomes as established results.
The original November 2022 explainer introduced three terms often grouped together under artificial intelligence: narrow AI, general AI and superintelligence. They describe different levels of capability, rather than three interchangeable labels for the same technology.
Our October 2022 industry overview looked at five areas exploring machine learning: healthcare, transport, finance, retail and property valuation. Each used prediction or pattern recognition, but with very different data and consequences for mistakes.
The October 2022 archive explored how computer-aided systems could support clinicians by organising images, records and monitoring data. Its central theme was assistance with information-heavy work, with diagnosis and treatment remaining clinical responsibilities.
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