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AI Tools for Students

267 tools

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Tools in this collection are aimed at studying — summarising dense material, turning notes into practice questions, explaining a concept a different way, and keeping research organised.

StudyX supports AI homework by turning notes, source material or a study topic into summaries, questions, note...

Freemium

TensorFlow supports ML education by turning code, an exercise or a programming goal into code examples, exerci...

Freemium

Valamis supports learning analytics by turning notes, source material or a study topic into summaries, questio...

Freemium

Classkick supports student feedback by turning notes, source material or a study topic into summaries, questio...

Freemium

Jupyter supports coding education by turning code, an exercise or a programming goal into code examples, exerc...

Freemium

Labster supports virtual labs by turning notes, source material or a study topic into summaries, questions, no...

Freemium

LabXchange supports science education by turning notes, source material or a study topic into summaries, quest...

Freemium

MATLAB supports technical education by turning code, an exercise or a programming goal into code examples, exe...

Freemium

QANDA supports AI tutoring by turning notes, source material or a study topic into summaries, questions, notes...

Freemium

Questgen supports question generation by turning notes, source material or a study topic into summaries, quest...

Freemium

To Teach supports lesson planning by turning a subject, grade level or classroom requirement into a lesson res...

Freemium

AiToolGo supports AI learning resources by turning notes, source material or a study topic into summaries, que...

Freemium

Jotform supports assessment by turning questions, source material or assessment criteria into questions, tests...

Freemium

Thinkific supports course creation by turning a subject, grade level or classroom requirement into a lesson re...

Freemium

What to check before you choose

Two cautions are worth more than any tool recommendation. First, AI summaries and explanations are confidently wrong often enough that you should never let one be your only source for something you will be examined on — check it against your actual course material. Second, most institutions now have explicit policies on AI use in assessed work, and those policies vary between departments; using a tool that is fine for revision but not for submission is an easy mistake to make. Used for practice and recall rather than for producing work you hand in, these tools are genuinely useful.