• How Can Teachers Use Google Lens in the Classroom?

  • Dec 16 2024
  • Length: 40 mins
  • Podcast

How Can Teachers Use Google Lens in the Classroom?

  • Summary

  • Edtech Throwdown


    Episode 179: How Can Teachers Use Google Lens in the Classroom?


    Welcome to the EdTech Throwdown. This is Episode 179 called, “How Can Teachers Use Google Lens in the Classroom” In this episode, we’ll talk about Google Lens, what it is, how to use it, and best of all - ways that it can support learning and make your teaching life easier. This is another episode you don’t want to miss. Check it out.


    Segment 1:


    Narrative: Google Lens does what?

    Google Lens is a visual search tool that uses image recognition to understand what you're looking at and provide relevant information.

    Segment 2: Google Lens Ideas


    1. Identifying items: Students can use Google Lens to find names for items they encounter, such as plants or archaeological sites.
    2. Biology Outdoor Classroom
    3. Solving math problems: Google Lens can help math learners solve problems and understand key conception
    4. Teacher Assistant when the teacher isn’t around
    5. Getting help with homework: Students can point the Lens at a homework question to get help.
    6. Taking notes: Google Lens can capture images, texts, bar codes, and QR codes, which can be transferred to a file for future reference.
    7. Getting synopses: Students can point the Lens towards a book cover to get a synopsis.
    8. Image search and product search: find images and items similar to the ones you’ve provided.
    9. Scanning QR Codes from a computer screen


    Special Education Uses:

    1. Reading: Google Lens can convert text images into readable text, which can be helpful for learners with dyslexia.
    2. Translating: Google Lens can translate selected words into any language.
    3. Listening to text: Google Lens can listen to selected text, which can help students improve their listening skills and learn pronunciation.
    4. Text detection and OCR: recognize the writing on an image and extract its data.
    5. Language detection and translation: identify the language of the text on the image, and then translate it.
    6. Accessibility and alt text: find the alt text of the image.


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