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(SAMPLE) Introduction to AI in Education Components

The Current Capabilities of ChatGPT

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The Current Capabilities of ChatGPT

ChatGPT 3.5 is an AI language model developed by OpenAI that has many capabilities. Here are some of the key capabilities of ChatGPT 3.5:

  1. Text generation: ChatGPT 3.5 can generate human-like text on a variety of topics, such as writing prompts, summaries, and explanations. This can be useful for generating content for lesson plans, assignments, and assessments.

  2. Answering questions: ChatGPT 3.5 can answer questions on a variety of topics. This can be useful for providing students with quick and accurate answers to their questions, or for generating discussion prompts based on student questions.

  3. Recommendations: ChatGPT 3.5 can provide recommendations on a variety of topics, such as books, articles, and videos. This can be useful for providing students with personalized recommendations based on their interests and learning needs.

  4. Translation: ChatGPT 3.5 can translate text from one language to another. This can be useful for supporting students who speak different languages or for providing access to resources in different languages.

  5. Summarization: ChatGPT 3.5 can summarize long pieces of text into shorter, more concise summaries. This can be useful for helping students to understand complex texts or for generating study materials.

Try it out

AI in your pocket —

  • Take out your phone and try to identify at least 1-2 applications that use AI. For example, if your phone is able to recognize your face, this is a form of AI.

  • Next, download the Bing: Chat with AI & GPT 4 app.

  • Type into the app:

“Please generate a list of 10 common apps on smartphones that use AI and briefly explain (in a sentence or two) how they use them.

AI in Your Pocket

As you have seen in the activity you just completed, AI has been used in various fields such as healthcare, finance, and transportation. In recent years, AI has become more prevalent in our daily lives through the use of virtual assistants and other commonly used tools that leverage AI and machine learning (ML).

Examples of AI and ML in everyday life:

  1. SIRI: SIRI is a virtual assistant that uses natural language processing (NLP) and machine learning to understand and respond to user requests. SIRI can perform tasks such as setting reminders, sending messages, and making phone calls.

  2. Amazon Alexa: Amazon Alexa is another virtual assistant that uses NLP and machine learning (ML) to understand and respond to user requests. Alexa can perform tasks such as playing music, setting alarms, and controlling smart home devices.

  3. Netflix: Netflix uses ML algorithms to recommend movies and TV shows to users based on their viewing history and preferences. This personalized recommendation system has helped Netflix become one of the most popular streaming services in the world.

  4. Google Maps: Google Maps uses AI and ML to provide real-time traffic updates and suggest the fastest route to a destination. This has made it easier for people to navigate and plan their daily commutes.

These are just a few examples of how AI and ML have been used in everyday life. In education, AI has been used to support student learning, adapt assessments, and analyze student data to identify key trends.