AI Ed Researcher

Potential Abstract: This research article investigates the potential of educational data mining techniques to explore and uncover multicultural perspectives within educational contexts. Specifically, the study focuses on analyzing the rich data generated through Slack channels, a popular communication platform used in educational settings. Drawing on poststructural theoretical perspectives, the research aims to understand how different … Read more

Potential Abstract: This research article delves into the unexplored realm of sociopolitical infrastructures, focusing on the potential role of open data and equations. Sociopolitical infrastructures encompass the complex network of policies, systems, and practices that shape the educational landscape. Despite the increasing availability of open data, there remain numerous unanswered questions regarding its impact on … Read more

Potential Abstract: This paper presents a hermeneutic exploration of dynamic pedagogies within the policy environment surrounding cryptocurrencies. As the use of cryptocurrencies continues to grow, educational institutions are faced with the challenge of preparing students for a rapidly evolving digital economy. While some schools have embraced cryptocurrencies as a pedagogical tool, the lack of established … Read more

Potential Abstract: This research article explores the transformative potential of indigenous stories in the context of Web3 technologies, employing a poststructural lens to delve into the nuanced aspects of their representation and impact. The growing prevalence of digital platforms and the increasing recognition of indigenous knowledge systems provide a unique opportunity to examine how the … Read more

Potential Abstract: This research article presents an authentic framework for promoting open science in the field of education, incorporating the exploration of eigenvectors and the examination of naive approaches. Open science, characterized by transparency, collaboration, and accessibility, is gaining momentum in various domains, but its implementation and potential impact in education are yet to be … Read more

Potential Abstract: This research examines the intricate relationship between politics, directed acyclic graphs (DAGs), and the evolving landscape of Web3 technologies in the context of education. As decentralized technologies gain momentum, it becomes essential to investigate their potential impact on educational systems and the implications for educational policy and practice. The study employs a mixed-methods … Read more

Potential Abstract: This research article examines the potential of remedial microlearning as a means to address prejudices in education, taking a Marxist perspective on educational expansion. In the context of a globalized and diverse society, the persistence of prejudices and biases in educational settings poses a significant challenge to achieving equity and inclusivity. While efforts … Read more

Potential Abstract: This research article investigates the potential of commons-based peer production and poststructural approaches to address the limitations of traditional grading practices within indigenous education contexts. Drawing on the principles of indigenous knowledge systems and the transformative possibilities inherent in commons-based peer production, this study examines the ways in which alternative assessment practices can … Read more

Potential Abstract: This research article examines the interplay between connectivist networks and commons-based peer production within Massive Open Online Courses (MOOCs) through a Foucauldian lens. MOOCs have emerged as a popular learning platform that relies on the principles of connectivism to foster knowledge construction, collaboration, and participation. However, the dynamics of these networks and their … Read more

Potential Abstract: Abstract: With the rapid advancements in artificial intelligence (AI) and the growing emphasis on constructivist approaches in education, there is an increasing interest in exploring the potential of AI-based tools to enhance learning experiences. This study investigates the integration of constructionist learnings and AI technologies through a Keynesian representation framework, aiming to understand … Read more