Module #11 Student Modeling and Profiling Student modeling, profiling, and clustering techniques
Module #12 Knowledge Graphs and Ontologies in Education Knowledge graphs, ontologies, and semantic web in education
Module #13 Recommendation Systems for Learning Collaborative filtering, content-based filtering, and hybrid models
Module #14 AI-driven Learning Path Optimization Optimization techniques for learning paths, simulation, and sensitivity analysis
Module #15 Human-AI Collaboration in Education Human-AI collaboration, AI-driven teaching assistants, and intelligent tutoring systems
Module #16 Ethical Considerations in AI-enhanced Education Ethical considerations, bias, and fairness in AI-enhanced education
Module #17 Implementation and Integration of AI in Education Implementation and integration of AI in educational institutions, challenges, and best practices
Module #18 AI for Teachers:Professional Development and Support AI for teacher support, professional development, and training
Module #19 AI in Special Education and Inclusive Learning AI applications in special education, inclusive learning, and accessibility
Module #20 AI-powered Learning Analytics and Visualization AI-powered learning analytics, visualization, and dashboard development
Module #21 Case Studies and Success Stories in AI-enhanced Education Real-world case studies and success stories in AI-enhanced education
Module #22 Future of Education:AI, AR, and VR Future trends and innovations in education, AI, AR, and VR
Module #23 Project Development and Implementation Developing and implementing AI-powered customized learning paths projects
Module #24 Evaluating AI-enhanced Education:Metrics and Methods Evaluating AI-enhanced education, metrics, and methods
Module #25 Course Wrap-Up & Conclusion Planning next steps in AI for Customized Learning Paths career
