Company / Competitor

Coursera

Mentioned in 10 AI use cases across 2 industries

Use Cases Mentioning Coursera

educationClassical-Supervised

Predicting Student Adaptability to Online Education via Classical ML Models

This is like a smart sorting hat for online classes: it looks at student data and predicts how well each student is likely to adapt to online learning, so instructors and schools can give extra help to those who might struggle.

educationRAG-Standard

Generative AI in Education (Overview from Leveragai article)

Think of this as a super-smart teaching assistant that can instantly create practice questions, explain hard concepts in simpler words, draft lesson plans, and give students personalized feedback 24/7.

educationRAG-Standard

Generative AI–Enhanced Personalized Intelligent Tutoring Systems (ITS)

Imagine every student having a patient, expert tutor who is available 24/7, remembers what they know, explains things in many ways, and can instantly create new practice problems and feedback—powered by ChatGPT‑like technology instead of a human.

entertainmentRAG-Standard

Screenwriting with AI – Develop Your Idea as a Script in Days

This is a training course that shows writers how to use AI tools (like ChatGPT-style assistants) to turn a rough movie or TV idea into a complete script much faster, using AI as a smart writing partner.

entertainmentRAG-Standard

Screenwriting with AI – Using AI Tools to Develop Scripts Faster

This is a training course that shows screenwriters how to use AI writing assistants (like ChatGPT-style tools) to turn a story idea into a full script in days instead of weeks or months.

educationRAG-Standard

AI for Transparent and Reliable University Assessments

Imagine every exam and assignment at a university having a tireless digital assistant that helps design fair questions, checks grading for consistency, and clearly explains to students why they got the grade they did. That’s what this kind of AI does for assessments.

educationClassical-Supervised

AI-Driven Predictive Analysis for E-Learning

This is like a smart early‑warning system for online classes: it watches how students learn on the platform (logins, quiz scores, time spent, etc.) and predicts who is likely to struggle or drop out so teachers can intervene early.

educationRAG-Standard

AI-Powered Personalized Learning at Scale

Imagine every student getting a 24/7 teaching assistant who knows their strengths, weaknesses, and pace, and quietly adjusts homework, hints, and explanations just for them. This Dartmouth work shows that AI can realistically play that role for large classes at once.

educationAgentic-ReAct

Designing Adaptive Learning Paths with Agentic AI (Autogen Patterns)

This is like giving every learner their own smart digital tutor that automatically adjusts lessons, exercises, and assessments in real time—based on what the learner already knows, how they respond, and how fast they progress—by coordinating several AI “helper bots” behind the scenes.

educationRAG-Standard

Google AI Tools for Learning and Education

This is Google’s push to put AI ‘co‑pilots’ into classrooms and homework tools, so students and teachers can get personalized help, smarter search, and automated support directly inside Google’s existing education products (like Search, Chrome, Workspace, and Classroom).