Artificial Intelligence in Education (AIEd): Transforming Learning and Teaching

Artificial Intelligence in Education (AIEd): Transforming Learning and Teaching

Course Image

Certificate Yes

Cost €80/day

Language English

Duration 5 Day course

Cities: Antalya

The "Artificial Intelligence in Education (AIEd): Transforming Learning and Teaching" course is designed for educators and educational technologists interested in exploring the transformative potential of artificial intelligence (AI) in educational settings. This course aims to equip participants with the knowledge and skills to leverage AI technologies effectively to enhance teaching, personalize learning experiences, and improve educational outcomes.

Description

This course provides an in-depth exploration of how artificial intelligence is revolutionizing education. Participants will examine various applications of AI in educational contexts, including adaptive learning systems, intelligent tutoring systems, predictive analytics for student performance, natural language processing (NLP) for automated feedback, and virtual assistants for administrative tasks. Practical examples and case studies will demonstrate how AI can be integrated into teaching practices to promote personalized learning and support educators in decision-making processes.

Learning Objectives

  • Understand the fundamentals of artificial intelligence and its relevance to education.
  • Explore various applications of AI in education, such as adaptive learning, intelligent tutoring, and predictive analytics.
  • Gain practical experience in using AI tools and platforms to enhance teaching effectiveness and student engagement.
  • Learn strategies for integrating AI into curriculum design to personalize learning experiences and support diverse learner needs.
  • Discuss ethical considerations and challenges associated with AI implementation in educational settings.
  • Evaluate the impact of AI on student learning outcomes, teacher efficiency, and educational equity.

Methodology and Implementation

● Lectures and Discussions: Introduction to AI technologies in education, discussions on potential applications, and ethical considerations.

● Hands-on Workshops: Practical sessions where participants explore AI tools and platforms for educational purposes.

● Case Studies: Analysis of successful AI implementations in different educational contexts.

● Guest Speakers: Insights from experts in AI and educational technology.

● Group Projects: Collaborative projects where participants develop AI-driven solutions for educational challenges.

● Online Modules: Access to self-paced modules on specific AI technologies and their educational applications.

Assessment Implementation

● Project-Based Assessments: Evaluation of participant-created AI solutions for educational scenarios.

● Reflective Journals: Individual reflections on the implications of AI for teaching and learning.

● Peer Review: Feedback sessions on AI project implementations and presentations.

● Practical Assignments: Application-based tasks to demonstrate proficiency in using AI tools for educational purposes.

Daily Programme

Day 1: Introduction to AI in Education

Morning Session:

  • Welcome and Course Overview
  • Fundamentals of Artificial Intelligence and Machine Learning

Afternoon Session:

  • Applications of AI in Education: Overview and Case Studies
  • Workshop: Exploring AI Tools for Adaptive Learning

Day 2: Enhancing Teaching with AI

Morning Session:

  • Intelligent Tutoring Systems: Personalized Learning Experiences
  • Workshop: Designing AI-driven Learning Pathways

Afternoon Session:

  • Natural Language Processing (NLP) for Automated Feedback
  • Case Study Analysis: AI Applications in Formative Assessment

Day 3: Supporting Student Learning

Morning Session:

  • Predictive Analytics for Student Performance
  • Workshop: Implementing AI for Early Intervention Strategies

Afternoon Session:

  • Virtual Assistants and Chatbots in Education
  • Group Activity: Developing a Virtual Assistant Prototype

Day 4: Ethical Considerations and Challenges

Morning Session:

  • Ethical Issues in AI Education: Privacy, Bias, and Equity
  • Workshop: Ensuring Fairness and Transparency in AI Systems

Afternoon Session:

  • Guest Speaker Session: AI Ethics and Educational Policies
  • Group Discussion: Addressing Challenges in AI Implementation

Day 5: Future Directions and Applications

Morning Session:

  • Emerging Trends in AIEd: Future Applications and Innovations
  • Workshop: Creating a Vision for AI Integration in Education

Afternoon Session:

  • Final Project Presentations: Showcase of AIEd Implementation Projects
  • Closing Remarks, Certificate Distribution, and Course Evaluation