1.2.2

Adaptive Learning Platforms

Test yourself

Seneca's Adaptive Learning Platform

Since its creation, Seneca has used AI to personalise homework and revision.

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Smart algorithm

  • Seneca's methodology uses retrieval practice as its basis.
    • That is, we provide lots and lots of questions for students to consolidate their knowledge.
  • The questions are not always the same! Seneca's algorithm takes into account each student's previous answers to select the best next question.
    • This ensures that pupils are studying at an optimised level and pace.
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Smart learning mode

  • Seneca has several study modes. One of them is our Smart Learning Mode.
    • It uses students' progress data to recommend what topics to study and when to study.
    • It also uses research data, such as Ebbinghous' forgetting curve, to suggest the optimal moment for each student to revisit each topic.
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Smart reassign

  • Teachers can reset an assignment to their classes based on how each student performed the first time.
  • For example, if student A answered 90% of the questions correctly, the teacher may want to set them a different revision homework than student B, who only answered 30% correctly.

Jump to other topics

1Applications of AI in Education

1.1Introduction to AI

1.1.1Key Terms

1.1.2Input & Output

1.1.3What has Changed Recently?

1.1.4How does ChatGPT Work?

1.1.5Limitations of AI

1.1.6Is AI Actually Intelligent?

1.1.7UK Policies

1.2Examples of Applications

1.2.1Areas of Application

1.2.2Adaptive Learning Platforms

1.2.3Personalised Tutor

1.2.4Accessibility

1.2.5Automated Assessments

1.2.6Open-Ended Questions

1.2.7Reports

1.2.8Whole-School Data

1.2.9Content Creation & Lesson Planning

1.2.10Teacher Well-Being

1.3Other Things to Consider

1.3.1How to Look at AI in Education

1.3.2Ethics

1.3.3Teacher & Pupil Training

1.3.4Cheating

1.3.5Stanford Graduate School of Education

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Areas of Application

Personalised Tutor