
AI in Education
Dates Available
Apr: 08/04/2024 – 13/04/2024
Jun: 01/06/2024 – 06/06/2024
Sep: 09/09/2024 – 14/09/2024
Training sessions are from 09:00 till 14:00
Schedule
Sunday: Arrival and Welcome
Monday: Training Session
Tuesday: Training Session
Wednesday: Training Session & Cultural Experience
Thursday: Training Sessions
Friday: Training Sessions
Saturday: Departure
Course Brief
Course Objectives
Course Outline
Day 1
Morning Session:
Participants will explore the transformative impact of AI on education, addressing ethical considerations.
Discussions will focus on integrating AI into the curriculum.
→ Welcome and Course Overview
→ Understanding the role of AI in transforming education
→ Overview of current AI technologies in education
→ Icebreaking activities and individual expectations
Afternoon Session:
The day concludes with reflections on AI’s impact on teaching and learning, emphasizing ethical
considerations and integration strategies.
→ AI’s impact on teaching and learning
→ Ethical considerations in AI education
→ Integrating AI into the curriculum
→ Reflection and group discussion
Day 2
Morning Session:
The day begins with an exploration of adaptive learning systems, highlighting their role in personalized
education.
→ Overview of adaptive learning systems
→ Tailoring education with AI-driven personalized learning
→ Practical exercises in implementing adaptive learning technologies
Afternoon Session:
Practical exercises will include tailoring education with AI-driven personalized learning, engaging in case
studies, and designing adaptive learning modules.
→ Case studies of successful personalized learning implementations
→ Designing adaptive learning modules
→ Addressing challenges in personalized education
→ Reflection and group discussion
Day 3
Morning Session:
Participants will explore Chatbots, Intelligent Tutoring Systems (ITS) and practical exercises in using
AI-powered feedback mechanisms.
→ Understanding Chatbots and Intelligent Tutoring Systems (ITS)
→ Implementing AI-driven feedback mechanisms
→ Hands-on experience with AI-powered assessment tools
Afternoon Session:
The focus will be on enhancing student engagement through AI tutors, implementing AI-driven grading
systems, and addressing ethical considerations in AI-assisted feedback.
→ Enhancing student engagement through AI tutors
→ AI-driven grading systems
→ Ethical considerations in AI-assisted feedback
→ Reflection and group discussion
Day 4
Morning Session:
The day explores the use of AI in educational research, applications in administrative tasks, and predictive
analytics in education.
→ Using AI in educational research
→ AI applications in administrative tasks
→ Exploring AI for predictive analytics in education
Afternoon Session:
Discussions will include data privacy and security, AI-driven decision-making in education, and group
discussions on practical applications.
→ Data privacy and security in AI applications
→ AI-driven decision-making in education
→ Group discussions on practical applications
→ Summary of key learnings and course evaluation
Day 5
Morning Session:
Participants will engage in collaborative project development, applying AI concepts to their teaching practices.
Afternoon Session:
The course concludes with project presentations, showcasing innovative AI in education projects. Reflections
on the course and strategies for implementing AI technologies will empower educators in their educational
contexts.
→ Project presentations by participants
→ Showcase of innovative AI in education projects
→ Reflection on the course and strategies for implementing AI technologies in participants’ own educational
contexts
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