Master Study AI

AI in Education and EdTech

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Course Modules:

Module 1: Introduction to AI in Education

Evolution of EdTech and the rise of AI

AI use cases in classrooms and digital platforms

Benefits and challenges of AI-driven education

Module 2: Personalized Learning with AI

Learner profiling and preference detection

Adaptive learning paths using recommendation algorithms

AI tools for differentiated instruction

Module 3: Intelligent Tutoring Systems (ITS)

What is an ITS and how it works

Rule-based vs. machine learning-driven tutoring

Building tutoring bots using NLP and decision trees

Module 4: AI in Assessment and Grading

Automating quizzes, essays, and exam evaluations

AI for formative vs. summative assessment

Real-time feedback generation and plagiarism detection

Module 5: Student Performance Prediction & Analytics

Predictive models for dropout risk and engagement

Time series and classification models for progress tracking

Dashboards for educators and school administrators

Module 6: Natural Language Processing in Education

Conversational agents for language learning

Speech-to-text and automatic transcription tools

Sentiment analysis in student feedback

Module 7: EdTech Product Design & Integration

Building AI into LMS platforms and mobile apps

Integration with SCORM, xAPI, and e-learning standards

UX/UI considerations in educational interfaces

Module 8: Ethics, Bias, and Data Privacy in EdTech

Algorithmic fairness and inclusivity in education

GDPR and COPPA for student data protection

Human oversight and accountability in AI decisions

Module 9: Global Trends & Future of AI in Education

AI in multilingual and cross-cultural learning

AI for lifelong learning and workforce upskilling

Emerging technologies (AR/VR + AI, Metaverse in EdTech)

 Module 10: Capstone Project

Choose from:

Designing an intelligent quiz generator

Creating a personalized learning recommendation system

Building a dashboard to monitor student performance

Submit final product with demo, report, and UX documentation

 

 

🧠Master Study NLP Fundamentals: The Foundation of Language Understanding in AI

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