1.1.1

Key Terms

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Key Terms in AI

Before we delve into the applications of AI in education, it's important to define a few key terms.

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Artificial Intelligence

  • AI refers to the ability of a computer to complete tasks that humans can do.
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Generative AI

  • The use of AI to generate new content (text, image, sound etc) based on previous data.
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Algorithm

  • The rules or instructions that computers need to follow to achieve a goal or solve a problem. (Akgun & Greenhow, 2022)
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Prompt

  • The prompts are the instructions (or queries or questions) we give to AI (eg. ChatGPT) for it to respond to.
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Language models

  • AI that can predict the next best word after a given word, based on the context.
  • It uses its training dataset of texts to create a probabilistic distribution of possible words, and then picks the best one according to grammar and semantics.

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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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Input & Output