Application of Artificial Intelligence in Education

1. Learning Journey and Skill Development
This course is immersive, challenging, and rewarding. By engaging with learning and assessment activities, participants develop technical skills, critical thinking, and a clear vision for applying AI in education. Through case studies, collaborative work, and reflection, learners will be prepared to address real-world educational technology challenges.

2. Course Structure
The course includes 13 modules with a blend of synchronous (live) and asynchronous (self-paced) sessions. Each module builds on the previous one, increasing in complexity to guide learners through progressive skill development.

3. Instructional Approaches
Synchronous Sessions: Live, instructor-led sessions with real-time discussions, demonstrations, and Q&A.
Asynchronous Learning: Self-paced modules featuring pre-recorded videos, reading materials, and assignments.

4. Live Classroom Sessions
These real-time sessions support immediate interaction and feedback, fostering community and deepening understanding through shared experiences and direct engagement.

5. Learning Activities
Video Lectures: Provide expert insights, break down AI concepts, and demonstrate real-life educational applications.
Group Collaborations:
  - Wikis: Collaborative knowledge-building spaces where learners contribute AI tools, techniques, and insights.
  - Forum Discussions: Online peer engagement to discuss, reflect, and debate AI in education topics.
  - Case Reviews: Real-world scenarios that help learners connect theory with practical applications of AI in educational settings.

6. Assessment Activities
Surveys: Promote reflection and collect feedback to guide both learner progress and course adjustments.
Journaling: Encourages self-assessment and tracks individual learning and development throughout the course.
Quizzes: Reinforce understanding and retention of key concepts through regular knowledge checks.