Potential Abstract:
This research article explores the intersection of artificial intelligence (AI), educational innovation, and the application of gestalt principles and counterfactual reasoning within an educational context, drawing upon Heideggerian philosophy. As education undergoes rapid changes driven by technological advancements, there is a growing need to investigate the potential of AI to enhance learning experiences and foster innovation. However, the integration of AI tools and methods in education requires careful consideration to ensure their ethical, pedagogical, and epistemological implications align with educational goals and philosophies.
In this study, we propose a Heideggerian framework that grounds the design and implementation of AI-based educational innovations in an understanding of human existence and the specificities of educational contexts. We argue that integrating gestalt principles, which emphasize the perception of whole patterns and structures, and counterfactual reasoning, which enables learners to consider alternative possibilities, can enhance the contextualized and holistic nature of educational experiences powered by AI technology.
To investigate the potential impact of integrating gestalt principles and counterfactual reasoning into AI-driven educational innovations, we employ qualitative research methods including interviews, observations, and document analysis. By engaging with teachers, students, and AI developers, we aim to understand their experiences, perceptions, and challenges related to the adoption of these approaches. Additionally, we explore the ethical considerations associated with the implementation of AI tools in educational settings and the potential implications for equity and inclusion.
This research aims to contribute to the emerging field of AI in education by offering insights into the integration of gestalt principles and counterfactual reasoning within an educational framework informed by Heideggerian philosophy. Through an in-depth exploration of the potential benefits, challenges, and ethical considerations, this study seeks to inform the development and deployment of AI tools and innovations in education, ultimately fostering more meaningful and transformative learning experiences.
Potential References:
- 3. Learning to Innovate in Higher Education Through Deep Wonder
- On strategies of educational innovation: Between substitution and transformation
- Towards philosophy of technology in education: Mapping the field
- Human rights, artificial intelligence and heideggerian technoskepticism: The long (Worrisome?) view
- New Materialism and Educational Innovation
