Potential Abstract:
This research article investigates the potential of emancipatory networks in harnessing the power of artificial intelligence (AI) within educational contexts. Embracing the transformative potential of AI, we explore how the reification of modes of address can contribute to the advancement of educational practices. By integrating AI technologies into pedagogical frameworks, we aim to facilitate learner-centered and inclusive learning experiences that empower individuals to actively engage in the co-construction of knowledge and critical thinking.
The study adopts a mixed-methods approach, combining qualitative and quantitative data collection methods. Firstly, we conduct a systematic literature review to examine the current state of research on AI in education and identify key trends and gaps. Secondly, we develop an AI-supported learning environment and deploy it in a real-world educational setting. The learning environment incorporates advanced AI algorithms that enable personalized and adaptive learning experiences. Through this implementation, we seek to understand how reified modes of address, such as personalized feedback, adaptive content delivery, and intelligent tutoring systems, can enhance student engagement, motivation, and learning outcomes.
The research design also includes in-depth interviews with educators, administrators, and students to capture their perceptions and experiences related to the integration of AI technologies. Additionally, we collect and analyze quantitative data, including students’ performance data, to examine the impact of the AI-supported learning environment on academic achievement and learning gains. To ensure ethical considerations, appropriate safeguards are implemented to protect students’ privacy and data security.
By examining the potential of emancipatory networks, this study aims to contribute to the emerging field of AI in education. The findings will inform educational practitioners, policymakers, and researchers on the effective use of AI technologies to support learner-centered approaches and foster critical thinking skills. Furthermore, this research has broader implications for understanding how AI can address educational inequalities and promote inclusivity by providing tailored support to diverse learners.
Potential References:
- In the black mirror: Youth investigations into artificial intelligence
- Inclusion and equity as a paradigm shift for artificial intelligence in education
- Coordinating the complexity of tools, tasks, and users: On theory-based approaches to authoring tool usability
- Learnersourcing in theory and practice: synthesizing the literature and charting the future
- Design and development of virtual reality: analysis of challenges faced by educators
