Module #1 Introduction to AI-Based Interactive Learning Overview of AI-based interactive learning, its importance, and applications in education
Module #2 Understanding Interactive Learning Principles Fundamentals of interactive learning, including engagement, feedback, and assessment
Module #3 AI and Education:The Current Landscape State of AI in education, its benefits, and challenges
Module #4 Machine Learning Fundamentals for Educational Applications Introduction to machine learning, supervised and unsupervised learning, and neural networks
Module #5 Natural Language Processing (NLP) for Interactive Learning NLP basics, text analysis, and language models for educational chatbots
Module #6 Computer Vision for Educational Applications Introduction to computer vision, image and video analysis, and facial recognition
Module #7 Data Analytics for Educational Platforms Introduction to data analytics, data visualization, and educational data mining
Module #8 Interactive Learning Platform Architectures Overview of platform architectures, microservices, and APIs
Module #9 Designing Interactive Learning Experiences User-centered design principles, user experience (UX), and user interface (UI) design
Module #10 Developing AI-Powered Chatbots for Education Building conversational interfaces, intents, and entities
Module #11 Creating Adaptive Assessments with AI Dynamic assessment systems, item response theory, and knowledge tracing
Module #12 AI-Driven Personalized Learning Paths Personalized learning, learning graphs, and recommender systems
Module #13 Implementing Gamification and Engagement Strategies Gamification principles, game design, and engagement metrics
Module #14 Integrating AI-Driven Feedback and Assessment Tools Automated grading, feedback mechanisms, and assessment rubrics
Module #15 Building AI-Based Virtual Learning Environments Virtual reality (VR), augmented reality (AR), and mixed reality (MR) for education
Module #16 Developing AI-Powered Learning Analytics Dashboards Learning analytics, data visualization, and dashboard design
Module #17 AI Ethics and Bias in Educational Platforms Ethical considerations, bias detection, and fairness in AI-based learning systems
Module #18 Scaling AI-Based Interactive Learning Platforms Cloud computing, containerization, and DevOps for scalable platforms
Module #19 Ensuring Accessibility and Inclusivity in AI-Based Learning Accessibility guidelines, inclusive design, and AI-based accommodations
Module #20 Case Studies in AI-Based Interactive Learning Real-world examples and success stories of AI-based interactive learning platforms
