Artificial Intelligence for and by Teachers

Analysing data in social sciences

Artificial Intelligence for and by Teachers

Home
About
About
- About this web portal
Mooc
Mooc
- General Presentation
  General Presentation
  - 0.1 What does this training offer us?
    0.1 What does this training offer us?
    
    0.1.1 Interview: Challenges of AI in Education
    
    0.1.2 What is the Objective of this Training?
    
    0.1.3 A Full Training Path on AI and Education
    
    0.1.4 What is in this Course?
  - 0.2 Conditions of use
    0.2 Conditions of use
    
    0.2.1 Conditions of use of the content of the Mooc
  - 0.3 Context of the experimentation
    0.3 Context of the experimentation
    
    0.3.1 Context of the experimentation
  - 0.4 Credits
    0.4 Credits
    
    0.4.1 Credits
- M1. Using AI in education
  M1. Using AI in education
  - 1.0 Introduction
    1.0 Introduction
    
    1.0.1 Presentation of Module 1
  - 1.1 Are teachers really concerned by AI
    1.1 Are teachers really concerned by AI
    
    1.1.1 Video: A Walk through AI - The Learning Process in Education
    
    1.1.2 Video: A Walk through AI - Guiding pupils to success
    
    1.1.3 Video: A Walk through AI - Learning Analytics
  - 1.2 Let's focus on your own AI tools
    1.2 Let's focus on your own AI tools
    
    1.2.1 Activity: Let's focus on your own AI tools
  - 1.3 AI challenges and competencies for education
    1.3 AI challenges and competencies for education
    
    1.3.1 Futures of learning by experts in Education
    
    1.3.2 Some AI-based Educational Tools
- M2. What is meant by AI?
  M2. What is meant by AI?
  - 2.0 Introduction
    2.0 Introduction
    
    2.0.1 Presentation of Module 2
  - 2.1 How to define AI?
    2.1 How to define AI?
    
    2.1.1 Video: Who Is Afraid of AI?
    
    2.1.2 What is the definition of AI?
    
    2.1.3 Activity: What is the definition of AI?
  - 2.2 What is Artificial Intelligence actually?
    2.2 What is Artificial Intelligence actually?
    
    2.2.1 Video: What is Artificial Intelligence?
    
    2.2.2 A brief history of AI
    
    2.2.3 Activity: A bit of History
    
    2.2.4 Activity: The origin of AI technologies
    
    2.2.5 What types of AI applications in Education
  - 2.3 Let's test our first program
    2.3 Let's test our first program
    
    2.3.1 Activity: Tutorial Let's test our first program
- M3. How does AI work?
  M3. How does AI work?
  - 3.0 Introduction
    3.0 Introduction
    
    3.0.1 Presentation of Module 3
  - 3.1 AI in all its Forms
    3.1 AI in all its Forms
    
    3.1.1 Video: Boosted with AI!
    
    3.1.2 What kind of AI?
    
    3.1.3 Activity: AI types classification
    
    3.1.4 Activity: Identify Digital AI
    
    3.1.5 Activity: Identify Symbolic AI
    
    3.1.6 Template for AI characterisation
  - 3.2 Let's Play with the Data
    3.2 Let's Play with the Data
    
    3.2.1 Video: Of Machine Learning and Data
    
    3.2.2 What is data?
    
    3.2.3 What about data in Education?
    
    3.2.4 Activity: Boosted with AI?
    
    3.2.5 Activity: Play with the Machine's Neurons
  - 3.3 Of Machine Learning & Data
    3.3 Of Machine Learning & Data
    
    3.3.1 Activity: Let's create with AI
    
    3.3.2 Generative Adversarial Networks (GAN)
    
    3.3.3 ChatGPT and large Language model
    
    3.3.4 Where Does the Risk Come From?
- M4. AI at our service as teachers?
  M4. AI at our service as teachers?
  - 4.0 Introduction
    4.0 Introduction
    
    4.0.1 Presentation of Module 4
  - 4.1 What place for teachers?
    4.1 What place for teachers?
    
    4.1.1 Video: What place for human beings?
    
    4.1.2 Decision Making with AI
    
    4.1.3 Activity: Decision Making with AI
    
    4.1.4 Risks and AI-based decision making
    
    4.1.5 Activity: AI-based decision making
    
    4.1.6 Teacher-in-the-Loop
    
    4.1.7 Decision Making with AI in Medicine and law
  - 4.2 Imagine teaching with AI
    4.2 Imagine teaching with AI
    
    4.2.1 Ready to trust AI for decision making?
  - 4.3 Artificial Intelligence at our Service?
    4.3 Artificial Intelligence at our Service?
    
    4.3.1 Video: Artificial Intelligence at our Service?
    
    4.3.2 Activity: Case study with the AI template
- Conclusion
  Conclusion
  - Interview: Ethical Use of Artificial Intelligence in Education
  - Ethical guidelines on the use of AI and data in teaching and learning
AI4T Resources
AI4T Resources
- Presentation
  Presentation
  - Presentation of the AI4T resources
- AI and Education Tools
  AI and Education Tools
- Mooc and Online Resources
  Mooc and Online Resources
- Reports and Guidelines
  Reports and Guidelines
  - EU Policy about AI and Education
  - Publications on AI and Education (EU-UNESCO-OCDE-CoE)
- General bibliography & Authors presentation
  General bibliography & Authors presentation
  - Bibliography on AI and education - 2023
  - The Mooc - Who Contributed to the Mooc?
- Webinars on the FUN Mooc Platform
  Webinars on the FUN Mooc Platform
  - Using AI in Education
    Using AI in Education
    
    Introduction
    
    Program
    
    Replay
    
    Presentations
  - Integrating AI tools in the classroom
    Integrating AI tools in the classroom
    
    Introduction
    
    Program
    
    Replay
    
    Presentations
  - Generative AI, understanding and guiding its use in the classroom
    Generative AI, understanding and guiding its use in the classroom
    
    Introduction
    
    Program
    
    Replay
    
    Presentations
Teachers experimentations
Teachers experimentations
- Feedback
- Pedagogical applications
  Pedagogical applications
- Tools
  Tools
  - Firefly
  - Capcut
  - Copilot
  - Dall-e
  - ElevenLabs
  - Heygen
  - Kling
  - Krea
  - Leonardo
  - Luma Labs
  - Magic School
  - Neuroflash
  - Pika
  - Stable Diffusion
  - Sydologie
  - TTS Maker
  - Udio
  - Vidnoz
  - Wave
  - Wooflash
  - Lalilo
  - Cuentito
  - ResearchRabbit
  - Briskteaching
  - Gamma
  - Miro
  - Mizou
  - Perplexity
  - Poe
  - Sketchbook
  - Teachable machine
Build Your Own Training
Build Your Own Training
- Presentation
  Presentation
  - 3.0.1 Map of the 3-Step Process
  - 3.0.2 Forge and Multilinguism
- Step 1
  Step 1
  - 3.1.1. Step 1 - Forking the AI4T GitHub repository
- Step 2
  Step 2
- Step 3
  Step 3
  - 3.3.1 Step 3 - Viewing and sharing your training on web pages

Analysing data in social sciences

These tools are cited on the forum of the French MOOC "Artificial intelligence for and by teachers" – visited on 01/07/2025.
The information below is extracted from the official websites of each tool.

Interview Analysis

NVivo (with integrated AI) Qualitative data analysis tool. AI can analyze text corpora and help identify themes, patterns, or relationships.
MAXQDA (with integrated AI) Qualitative analysis software using AI to automate data coding, facilitate transcription analysis, and identify relationships between variables.
Use example: A marketing student conducts a qualitative study on consumer behavior and uses MAXQDA to code interviews and detect trends and insights.

Economic Data Analysis

DataRobot (for predictive analysis) Data analysis platform using AI to automate the processing of large datasets and generate forecasts to better understand trends.