Akademik Dersler - İçerik

Defines various language teaching models and explains their connection with artificial intelligence.
Lists and defines major language teaching models (grammar-translation, direct, audio-lingual, communicative, etc.)
Explains the key features and objectives of each model.
Illustrates the integration areas of AI within these models with examples.
Analyzes the functioning of AI-enhanced language teaching methods and evaluates their advantages.
Analyzes implementations of AI-enhanced grammar-translation, direct, and audio-lingual methods.
Describes and evaluates AI-assisted interactive learning and pronunciation analysis tools.
Discusses opportunities and challenges in AI-supported language learning applications.
Presents sample applications of AI-supported communicative and task-based language teaching approaches and develops practical skills.
Plans classroom activities by using AI chat models and task design tools.
Evaluates the contributions of AI-supported practices to student interaction.
Effectively applies AI solutions in different language teaching settings.
Analyzes and evaluates holistic, inclusive, and personalized language learning processes supported by artificial intelligence.
Explains examples of personalized and inclusive learning through AI.
Defines creative tasks and individual learning paths in digital environments.
Creates meaningful learning experiences with AI support on digital platforms.
Analyzes AI-supported resource management, interactive feedback processes, and ethical issues in language learning; discusses future developments.
Defines and compares AI-supported resource management, text correction, and instant feedback systems.
Discusses ethical issues encountered in AI-supported language learning.
Predicts future changes and developments in language teaching models with AI.