How AI can Help Learners to Develop Conceptual Knowledge in Digital Learning Environments

Self-paced learning engenders flexibility, individuality and autonomy, allowing learners to acquire knowledge at their convenience. Learners, in fact, increasingly seek flexible and personalized learning experiences. They require systems that not only accommodate but also enhance their learning journeys. This paper presents the combination of artificial intelligence (AI) features and the design of interaction and communication in a learning format that fosters learners' acquisition of comprehensive and sustainable knowledge. The primary focus of our approach is on individuals who are new to the course subject or possess limited prior knowledge. Recognizing the importance of structured and coherent content, our learning format emphasizes uniformity in both appearance and language across text and quiz pages. Such consistency is crucial for building a stable conceptual framework, which facilitates a deeper understanding of the subject matter. By minimizing extraneous cognitive load, we enable learners to concentrate on the intrinsic elements of the content, thereby enhancing their learning experience. A significant aspect of our design is the strategic use of natural language. Consistent language aids in the formation of domain-specific conceptual frameworks, which are essential for sustainable knowledge acquisition.