DESIGNING A CONCEPTUAL FRAMEWORK FOR DEVELOPMENT OF ARTIFICIAL INTELLIGENCE-ENHANCED GAME-BASED LEARNING ENVIRONMENT TO FOSTERING COMPUTATIONAL THINKING FOR GRADE 11 STUDENTS: PHASE 1-THEORETICAL ANALYSIS AND FRAMEWORK DESIGN

Abstract

This study aims to design a conceptual framework for the development of an Artificial Intelligence-Enhanced Game-Based Learning Environment to Fostering Computational Thinking for Grade 11 Students. As Phase 1 of a product-oriented developmental research project, the study focuses on theoretical analysis and the synthesis of a comprehensive design framework. The framework is grounded in constructivist learning theory, cognitive load theory, principles of game-based learning, and core components of computational thinking, alongside the application of artificial intelligence technologies such as Natural Language Processing and Generative AI. The Phase 1 results yielded a theoretically informed framework consisting of six core components: problem scenarios, learning resources, collaborative learning, a computational thinking hub, support systems, and an AI coaching system. These components collectively provide a systematic foundation for designing adaptive, personalized, and engaging learning experiences. The completed framework serves as a guideline for developing and evaluating a functional prototype in subsequent research phases.