AI tools are developing so fast, by the time I post this, some points will already be out of date.
Rather than fearing the technologies and their advances, I prefer to embrace them, test them and include them in my workflow if there are any benefits for me, the learners, my clients. Below is a list of various AI Tolls that could be used during the various phases of development of learning materials (digital or not).
I am not advertising, promoting but listing some of the tools I came across. I have not fully tested them all.
You can find other listing of AI Tools here:

3D Objects Generators
Accessibility (Specific learning difficulties, Physical, Sensory)
  • Opus is another versatile platform and helps ensure content is structured, designed and presented to accessibility standards.
  • MS Editor to help with spelling, grammar…
  • Grammarly GO
  • Google live transcribe speech-to-text,
  • MS Word Dictate, (dictation with managing tools)
  • MS Seeing AI (description audio, read text, describe pictures)
  • Captioning with and Caption.Ed
  • Low vision Mercury 13
Adaptive learning
  • Ottolearn
  • Nolej,
  • 360 Learning
  • PrepAI



  • Retrieval-based-Voice-Conversion-WebUI (extrac voice from song, generate AI voice, Train model to imitate someone’s voice (FREE) – Install Locally – GitHubDemo
  • Become a Pro singer with Colab and VocalRemoverdemo

Sound effects


  • D-ID
Comic Books Generators
Content Analysis
  • MonkeyLearn
  • Micro AI
Content Text Generators
Course Development
Custom Chat Bot
Depth maps
  • Canva (templates)
  • Flipboard
  • Feedly
  • ID Assist (content mapping)
  • Miro AI for Mind Maps and collaboration
  • converts code/system/software to diagrams
Image Generator
Image upscaler
Learning Analytics-Metrics
  • Dropout Detective is a great choice. This tool uses machine learning to analyse data and predict student retention, dropout or success. It provides alerts and recommendations for instructors and learners.  
  • Moodle Analytics. This AI-powered platform provides student performance prediction, personalised learning and automated reporting. Machine learning is used to analyse data from Moodle activities like quizzes, assignments and forums to deliver insights for students and educators.
  • Learning Locker. This versatile tool collects data from multiple digital sources like the LMS, web analytics or online assessments and stores it in one central location. Learning Locker uses data analytics to provide cross-platform insights and reports.  
Learner Journey
LMS (Learning Management System) platforms
Logo/icon Design
Machine Learning enabled adaptive learning platform (targeting weaknesses to reinforce, mastery of learning)
  • Smart sparrow
  • EdApp
  • RapL
Music from Text prompts
  • Luma on mobile/web
  • Survey Monkey AI
Text to video
Text to Audio (voices)
  • DeepL
  • Murf
  • Speechelo
  • 2500 words and 1 voice cloning for FREE
  • Retrieval-based-Voice-Conversion-WebUI (extract voice from song, generate AI voice, Train model to imitate someone’s voice (FREE) – Install Locally with NVIDIA Cuda GPUs – GitHubDemo
  • Amazon Polly,, Google/Microsoft translate to translate content
  • DeepL Translator
  • Knewton intelligent tutoring platforms. It uses AI to analyse learners’ responses and behaviour content to suit individual learning needs.
  • IBM Watson Assistant 24/7 tutoring availability. Chatbots for tutoring are vital in digital learning as they deliver customised assistance to learners, answering their queries and providing support in real-time.
  • Waggle AI seamlessly integrates into managers’ daily routines, offering real-time coaching and skill tracking. Waggle | Your AI-Copilot for Managing Remote Teams ( NOT sure what’s AI got to do with it.
  • Noodle Factory chatbot to learn specific topic and learn from virtual tutor, quiz, summary, roleplay
Video Upscaler