Unraveling Complex Hypermedia Learning Environments: An Organic Exploration of ChatGPT as a Way of Knowing

Potential Abstract:
In today’s digital age, technology has seamlessly integrated into educational settings, offering learners unique pathways to engage with complex information. This study delves into the intricate dynamics of hypermedia learning environments, focusing on the use of ChatGPT as a tool to facilitate organic ways of knowing. By leveraging the capabilities of ChatGPT, an advanced language model powered by artificial intelligence, learners are immersed in a dynamic and interactive learning experience that mirrors real-world complexities. Through the integration of ChatGPT, this research aims to explore how learners navigate and make sense of information in a hypermedia-rich environment, promoting a holistic and organic approach to knowledge acquisition.

Drawing on a mixed-methods research design, this study engages with students from diverse educational backgrounds to investigate their interactions with ChatGPT within a complex hypermedia context. Through qualitative analysis of student interactions, cognitive processes, and learning outcomes, this research sheds light on the potential of ChatGPT to enhance students’ critical thinking, problem-solving skills, and information literacy in a digital learning environment. Furthermore, this study examines the role of scaffolding, feedback mechanisms, and adaptive learning strategies in optimizing the use of ChatGPT as a cognitive tool for knowledge construction.

By unpacking the layers of complexity inherent in hypermedia learning environments and the integration of ChatGPT as a way of knowing, this research contributes to the evolving landscape of educational technology and pedagogy. The findings from this study hold implications for educators, instructional designers, and policymakers seeking to leverage innovative technologies to foster organic and meaningful learning experiences in the digital era.

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