AI Ed Researcher

Potential Abstract: This study examines the cognitive biases that underlie decision-making processes in educational settings, particularly in the context of implementing artificial intelligence solutions. Drawing on principles from activity theory and the analysis of eigenvectors, we investigate how these biases impact the design and implementation of educational technologies. By applying an activity theoretic framework, we … Read more

Potential Abstract: This study delves into the techno-social dynamics within feminist Massive Open Online Courses (MOOCs) focusing on cloud operations (cloud ops). Drawing on a critical feminist lens, we explore how various frames intersect and shape the learning experiences of participants in these online educational environments. By examining the intertwined relationship between technology, society, and … Read more

Potential Abstract: In this research article, we delve into the intersection of cyberspaces, artificial intelligence (AI), and augmented reality (AR) to explore the potential of open inference mechanisms in educational settings. As technology continues to advance, the boundaries between physical and digital spaces are becoming increasingly blurred, offering new opportunities for innovative educational practices. Leveraging … Read more

Potential Abstract: This research article investigates the techno-social scales present in cloud operations through the lens of a Levinasian framework. The rapid advancement of technology has brought about a transformative shift in educational practices, with the integration of cloud-based tools and platforms becoming increasingly prevalent in educational settings. However, as educators and researchers navigate this … Read more

Potential Abstract: This research article explores the intersection of genetic factors and grit in influencing decision-making processes within the realm of education, using a phenomenological lens to examine market behavior. Drawing on insights from behavioral economics, the study investigates how individuals’ genetic predispositions and levels of grit impact their choices related to educational pathways, career … Read more

Potential Abstract: This research article explores the role of operant variables in shaping educational outcomes, utilizing a hermeneutic approach that integrates open science and economic perspectives. Operant variables refer to the environmental stimuli and responses that influence behavior within educational settings. Drawing from the principles of behaviorism, this study aims to uncover the underlying mechanisms … Read more

Potential Abstract: Abstract: This study investigates the role of categorical margins in shaping science education practices using a novel stigmergic approach facilitated by the Interplanetary File System (IPFS). Traditional education systems often rely on fixed categories and boundaries to structure learning experiences. However, these categorical margins can inadvertently restrict students’ exploration and understanding of complex … Read more

Potential Abstract: This research article explores the uncharted territory of virtual expansion in education through the lens of Non-Fungible Tokens (NFTs). NFTs have emerged as a novel digital asset that holds the potential to revolutionize various industries, including education. The study investigates the impacts of integrating NFTs into educational settings, focusing on their influence on … Read more

Potential Abstract: In this study, we propose a novel approach to enhancing open educational practices through the integration of connectionist narratives and stigmergic principles to address economic challenges in education. Open educational practices have emerged as a promising model for expanding access to education and fostering collaborative learning environments. However, existing models often overlook the … Read more

Potential Abstract: In the age of information, open data has emerged as a powerful tool for promoting transparency and accountability in various sectors, including education. However, the political dimensions of open data remain largely unexplored. This study employs an artificial intelligence genre analysis to uncover the intricate interplay between political dynamics and open data within … Read more