AI Ed Researcher

Potential Abstract: This research article aims to examine the role of artificial intelligence (AI) in perpetuating and exacerbating racial inequities in educational settings. While AI technologies have the potential to benefit educational outcomes, their deployment in educational contexts must be critically examined to ensure they do not reinforce systemic racism and widen existing disparities. Drawing … Read more

Potential Abstract: In recent years, there has been growing interest in leveraging innovative technologies to foster authentic learning experiences in educational settings. This study aims to explore the potential of the Interplanetary File System (IPFS) as a platform for creating authentic learning ecologies that promote semiotic innovation. Authentic learning, characterized by real-world connections, meaningful tasks, … Read more

Potential Abstract: This research study aims to critically analyze the role of adaptive mailing lists in virtual currency systems through a comparative analysis. With the rising popularity of virtual currencies, such as Bitcoin and Ethereum, understanding the mechanisms by which these systems adapt to user needs and preferences is of paramount importance. The utilization of … Read more

Potential Abstract: This research study investigates the potential of using genetic synthesis techniques to develop educational programs through a novel online portal. The objective is to explore how such an approach can facilitate innovation and align educational content with the demands of a rapidly evolving capitalist society. By leveraging the power of artificial intelligence and … Read more

Potential Abstract: This research article investigates the intricate relationship between cognitive biases, semiotic infrastructures, and standard behavioral education. Drawing from both the field of artificial intelligence and education, this study aims to contribute to a deeper understanding of how biases impact student learning and engagement in standardized educational contexts. The study employs a mixed-methods approach, … Read more

Potential Abstract: This research article explores the transformative implications of techno-social learnings in the emerging concept of the metaverse within the field of education. As technology continues to evolve and reshape educational landscapes, it is essential to understand how the integration of technology and social interactions in virtual spaces can influence teaching and learning practices. … Read more

Potential Abstract: This research article examines the intersection of sociopolitical factors and statistical learning science in educational settings, with a focus on the application of directed acyclic graphs (DAGs). In the postmodern era, educational research has increasingly recognized the need to consider the broader social, cultural, and political contexts that shape learning outcomes. Simultaneously, the … Read more

Potential Abstract: Abstract: This research article presents a novel approach to understanding and addressing inequities in education through the lens of constructionist and deconstructionist theories. By examining the role of a constructionist portal in education, this study aims to explore the potential of technology to empower marginalized students and bridge the gaps in educational opportunities. … Read more

Potential Abstract: This research article explores the innovative application of distributed hashing in postmodern education to expand the conceptual constructs used in the field. By leveraging the power of artificial intelligence and the principles of distributed computing, this study aims to contribute to the evolving discourse on educational theory and practice. The adoption of distributed … Read more

Potential Abstract: This research article presents a phenomenological framework for understanding gestalt networks using social network analysis. Gestalt theory, rooted in cognitive psychology, highlights the importance of perceiving wholes rather than individual parts. In recent years, the application of gestalt principles to network analysis has gained traction, particularly in the field of artificial intelligence. However, … Read more