Artificial Intelligence in Education: An Overview of Tools PDF
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Summary
This document provides an overview of artificial intelligence tools in education. It covers key features of AI tools, such as imitation of learning processes, adaptation to needs, personalization of teaching, and algorithms for analyzing data. Different AI tools and their categories are discussed, such as content generators, planning assistants, visual tools, and personalization tools. It also includes information about platforms such as Magic School, Gamma, and more.
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Artificial Intelligence in Education: An Overview of Tools by Paweł EUROPASS Erasmus Course of 'Advanced Artificial Intelligence for Education' in Rome Key features of AI tools Imitation of learning Adaptation to needs processes Machin...
Artificial Intelligence in Education: An Overview of Tools by Paweł EUROPASS Erasmus Course of 'Advanced Artificial Intelligence for Education' in Rome Key features of AI tools Imitation of learning Adaptation to needs processes Machine learning that adapts to Algorithms for analyzing data the user and patterns Personalization of teaching Supporting the individual development of students and teachers Categories of AI Tools in Education Content Generators Planning Assistants Creating custom-made teaching materials Lesson planning support Visual Tools Personalization Of Teaching Creating interesting multimedia materials Adapting content to individual needs Magic School The lesson planner assistant Lesson schemes Quick questions templates Generation of materials Gamma - Visualization and Presentations Professional Presentations Educational Templates Multimedia Integration Automatic content formatting A multitude of prefabricated templates Easy to insert video and animation Google Colab - Cloud programming environment ChatGPT Summarize Customization Extracting vital information A variety of applications from data Simplification Multilingual support Explaining complex concepts Usability in different languages Course summary in a few steps: 1. Make a voice recording during lessons 2. Slice the file into 30min long pieces using "bash ffmpeg -i „nieznany link3" -f segment -segment_time 1800 -c copy output_%03d.mp3" command 3. Generate transcriptions using Turboscribe (3×30min per day limit). 4. Create a new chatGPT fed with transcriptions and online course info as its knowledge 5. Enjoy NotebookLM - smart bibliography How it works? Add your sources Generating: courses schemes Chat directly with your bibliography questions with cited answers summaries Generate voice dialogue Use generated notes as a new data source Picture and video generation (Luma.ai, Dall-e) Shared Idea by pablobluenote_37jy9 | Luma Dream…
