AI Ed Researcher Potential Abstract: This study delves into the anti-racist affordances of data science within educational contexts through a Foucauldian lens. Drawing on critical race theory and Foucault’s concepts of power, knowledge, and regime, we explore how data-driven practices can perpetuate or challenge existing power structures and racial biases in education. By examining the ways in which … Read more
Potential Abstract: This research explores the intricate interplay of power, agency, and participation in educational settings through the lens of virtual currency and poststructural theory. By examining how virtual currency systems impact the negotiation of knowledge and identities among diverse stakeholders, this study sheds light on the ways in which traditional power structures are challenged … Read more
Potential Abstract: This study delves into the intersection of algorithmic practices, second-order cybernetics, and open science within the context of Massive Open Online Courses (MOOCs) in a capitalist society. As digital platforms continue to shape educational landscapes, understanding the underlying algorithms that govern these platforms becomes crucial. Through a second-order cybernetics lens, this research investigates … Read more
Potential Abstract: Recent advancements in artificial intelligence (AI) and machine learning have raised concerns about the potential reinforcement of stereotypes in educational settings. This study explores the concept of flexible stereotypes within AI systems and the role of collective intelligence in mitigating bias. By examining the intersection of AI, machine learning, and educational practices, we … Read more
Potential Abstract: This research article investigates the intersection of cognitive models in education through a Foucauldian lens, specifically examining the implications of Creative Commons licensing within the realm of economics. Drawing on the theoretical framework of Michel Foucault’s concepts of power, knowledge, and discourse, this study aims to explore how cognitive models in education are … Read more
Potential Abstract: This research article delves into the complex interplay between behavioral statistics, perception, and the Heideggerian concept of “way of knowing” within the realm of education. Drawing on phenomenological perspectives, this study seeks to uncover the underlying mechanisms through which individuals perceive and make sense of statistical information in educational contexts. By adopting a … Read more
Potential Abstract: In this research article, we explore the intersection of sociocultural androgogies through a Derridean lens, with a focus on embracing open science principles within the field of education. Drawing on Derrida’s deconstructive philosophy, we challenge traditional understandings of educational practices by examining how sociocultural factors influence adult learning and development. By incorporating open … Read more
Potential Abstract: In the rapidly evolving landscape of online education and virtual reality, the metaverse has emerged as a promising platform for fostering creativity and engaging learners in innovative ways. This study explores the intersection of creativity, chat bots, and feminist pedagogy within the context of the metaverse. Drawing on critical feminist theories and socio-cultural … Read more
Potential Abstract: This research examines the transnational negotiation of algorithmic hegemonies within the context of educational hackathons. As technology increasingly permeates educational spaces, the power dynamics embedded within algorithms become crucial to understand. Educational hackathons, as collaborative events where participants develop technology-based solutions to educational challenges, offer a unique setting to explore how algorithmic hegemonies … Read more
Potential Abstract: The rapid advancements in data science have opened up new possibilities for developing innovative measurement scales in education. This study explores the intersection of data science, neoliberal ideologies, and the concept of commons in educational research. By leveraging big data analytics and machine learning techniques, we aim to design and validate novel scales … Read more
