AI-Assisted Language Teaching Theory, Practice, and Classroom Implementation

TANITIM YAZISI

CHAPTER 1

FOUNDATIONS OF AI IN ENGLISH LANGUAGE TEACHING (ELT)

1.1 What is Artificial Intelligence?

1.1.1 Definitions and Key Concepts

1.1.2 Types of AI

1.2 AI Technologies in Language Learning

1.2.1 Natural Language Processing (NLP)

1.2.2 Machine Learning and Adaptive Learning Systems

1.2.3 Speech Recognition and Speech Synthesis

1.2.4 Chatbots and Virtual Assistants in Language Learning

1.3 Theoretical Foundations of AI in Language Learning

1.3.1 SLA Theories and AI

1.3.2 AI and Personalized Learning Pathways

CHAPTER 2

PRACTICAL APPLICATIONS OF AI IN ENGLISH

LANGUAGE CLASSROOMS

2.1 Personalized Learning Environments

2.2 Automated Assessment and Feedback

2.3 AI-Powered Language Practice Tools

2.4.1 Overview of AI Tools for Teachers and Their Classroom Uses

2.5 Classroom Management and Administration

2.4 AI in Content Creation and Lesson Plannin

CHAPTER 3

CASE STUDIES AND REAL-WORLD EXAMPLES

3.1 Successful Implementations

3.1.1 Case Study 1: AI in a High School English Class

3.1.2 Case Study 2: AI in a University ESL Program

3.2 Lessons Learned

3.2.1 Best Practices for AI Implementation

3.2.2 Common Pitfalls and Challenges

3.2.3 Ethical Considerations in AI-Powered Language Learning

3.3 Teacher and Student Perspectives

3.3.1 Educator Perspectives

3.3.2 Student Perspectives

3.3.3 Balancing AI and Traditional Teaching

CHAPTER 4

CHALLENGES AND ETHICAL CONSIDERATIONS IN AIASSISTED

LANGUAGE LEARNING

4.1 Technical Challenges in AI Integration

4.1.1 System Compatibility and Infrastructure Issues

4.1.2 Reliability and Accuracy of AI Tools

4.2 Ethical Considerations in AI-Driven Language Learning

4.2.1 Data Privacy and Security

4.2.2 Bias and Fairness in AI Algorithms

4.3 Access and Equity in AI-Assisted Language Learning

4.3.1 The Digital Divide

4.3.2 Inclusive AI for Students with Disabilities

4.4 Teacher Readiness and AI Training

4.4.1 Professional Development for Educators

4.4.2 Overcoming Resistance to AI Adoption

4.5 Future Directions and Policy Considerations

4.5.1 Ethical AI Development

4.5.2 The Role of Policymakers and Institutions

REFERENCES