1. Introduction 1.1 Background and Motivation 1.2 Objectives of the Study 1.3 Structure of the Paper 2. Literature Review 2.1 AI in Education 2.2 Second Language Acquisition Theories 2.3 Previous AI-Based Strategies 3. Research Methodology 3.1 Research Design 3.2 Data Collection Methods 3.3 Analytical Framework 4. AI-Based Learning Strategies 4.1 Personalized Learning Systems 4.2 Chatbots for Language Practice 4.3 AI-Driven Assessment Tools 5. Case Studies in Master’s Programs 5.1 Case Study Selection 5.2 Implementation Outcomes 5.3 Comparative Analysis 6. Evaluation Metrics and Criteria 6.1 Criteria for Success 6.2 Measurement Techniques 6.3 Challenges in Evaluation 7. Results and Discussion 7.1 Key Findings 7.2 Discussion of Results 7.3 Implications for Practice 8. Conclusions and Recommendations 8.1 Summary of Findings 8.2 Recommendations for Educators 8.3 Future Research Directions
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