Multivoiced Expansion of Situated Constructs through Generative AI in Education

Potential Abstract: This research article explores the potential of generative artificial intelligence (AI) to support the multivoiced expansion of situated constructs in educational settings. Situated constructs refer to the dynamic and context-dependent nature of knowledge, skills, and understanding that learners develop through authentic and meaningful experiences. By leveraging generative AI, which involves the creation of new content or knowledge, this research investigates how AI systems can assist in fostering multivoiced perspectives and expanding learners’ situated constructs.

The study employs a mixed-methods approach to examine the integration of generative AI technologies within educational environments. Through the use of machine learning algorithms, AI systems are designed to analyze and synthesize diverse data sources, including texts, images, and videos, to generate new content. This research investigates the potential impact of these generative AI systems on learners’ understanding and engagement with situated constructs.

The findings of this study contribute to the growing field of AI in education by highlighting the potential of generative AI to support a multivoiced approach to knowledge construction. By incorporating diverse perspectives, learners can develop a more comprehensive understanding of complex concepts. The study also explores the implications of using generative AI in educational settings, such as ethical considerations, the impact on learners’ autonomy and creativity, and the role of teachers in facilitating meaningful interactions with AI systems.

Potential References: