AI Ed Researcher

Potential Abstract: This research article investigates the intersection of race, artificial intelligence, and education through the lens of chat bots in Massive Open Online Courses (MOOCs) using generative AI technology. Despite the growing presence of AI technologies in educational settings, there remains a paucity of research on how these technologies impact the experiences of racially … Read more

Potential Abstract: Narratives have long been recognized as a powerful tool for engaging learners and fostering creativity in educational settings. In recent years, the integration of technology and cognitive science principles has opened up new possibilities for leveraging narratives in education. This research article proposes a novel framework that combines the use of narratives with … Read more

Potential Abstract: Cryptocurrency has gained significant popularity in recent years, leading to a surge in online resources aimed at educating individuals about this complex and evolving technology. These resources, often in the form of mediated websites, play a crucial role in shaping public perception and understanding of cryptocurrency. This study employs a rhetorical analysis framework … Read more

Potential Abstract: This study explores the design and implementation of personalized programs within cloud operations in educational settings through a postcolonial lens. Drawing on postcolonial theory, the research investigates the ways in which power dynamics, cultural hegemony, and historical legacies influence the negotiation processes involved in the customization and adaptation of cloud-based educational programs. By … Read more

Potential Abstract: This article investigates the emancipatory impacts of artificial intelligence (AI) in postcolonial education regimes, focusing on how AI technologies can be leveraged to challenge and disrupt existing power dynamics and knowledge hierarchies. Drawing on postcolonial theory and critical AI studies, the research examines how AI tools and systems can be designed and implemented … Read more

Potential Abstract: This research article delves into the intricate interplay of diverse voices within educational settings, exploring the impact of cognitive biases through a Heideggerian lens. By acknowledging the multifaceted nature of human experiences and realities, this study aims to uncover the inherent complexities that influence decision-making processes in education. Drawing upon Heidegger’s philosophy, we … Read more

Potential Abstract: This study explores the integration of augmented reality learning objects within the context of behavioral economics from a sociocultural perspective, aiming to understand the implications of this paradigm shift in education. Augmented reality technology offers a unique opportunity to enhance learning experiences by providing interactive and immersive environments that bridge the gap between … Read more

Potential Abstract: Individualized learning objects have the potential to revolutionize educational practices by tailoring learning experiences to the unique needs of each student. Non-fungible tokens (NFTs) offer a novel approach to authenticating and exchanging these learning objects in educational contexts. However, the integration of NFTs into standard educational settings is a contested issue, raising concerns … Read more

Potential Abstract: This study investigates the implementation of authentic learning environments in rural schools through the integration of Slack channels and distributed hashing technology. While there has been a growing interest in incorporating authentic learning experiences in educational settings, there remain unanswered questions regarding the effectiveness of such approaches, especially in rural contexts. This research … Read more

Potential Abstract: Recent advancements in machine learning have revolutionized the field of cognitive scales representation by leveraging distributed hashing techniques. This study presents a novel approach that combines machine learning algorithms with distributed hashing methods to efficiently represent cognitive scales in educational research. By utilizing distributed hashing, we are able to map high-dimensional cognitive scale … Read more