AI Ed Researcher

Potential Abstract: Real-time DevOps practices have been widely adopted in various industries for their efficiency and effectiveness in software development and deployment processes. In the context of education, the integration of DevOps principles and practices within educational communities presents a unique opportunity for fostering collaboration, innovation, and continuous improvement. However, the application of such practices … Read more

Potential Abstract: This research article investigates the manifestation and perpetuation of discrete stereotypes in large language models (LLMs) through a semiotic analysis of conversational biases. As LLMs become increasingly prevalent in educational settings, it is imperative to uncover and address the ways in which they may reinforce harmful stereotypes, particularly in the context of student-teacher … Read more

Potential Abstract: In the rapidly evolving landscape of education, the integration of Web3 technologies presents both exciting opportunities and complex challenges. This research critically examines the intersection of context-laden epistemologies and Web3 in educational settings through a postcolonial praxis lens. By drawing on postcolonial theories of knowledge production and decolonizing methodologies, this study seeks to … Read more

Potential Abstract: The intersection of connectivist learning theory, stereotypes, distributed ledger technologies, and naive schema presents a unique opportunity to explore how educational practices can be transformed to address biases and misconceptions in the learning process. In this study, we examine how students’ understanding and interpretation of information are influenced by pre-existing stereotypes and schemas, … Read more

Potential Abstract: Recent advancements in artificial intelligence, particularly in the form of large language models such as ChatGPT, have sparked conversations around their potential implications for education. This study employs a Marxist lens to explore how the utilization of ChatGPT within the educational milieu can shape and perhaps reinforce existing power dynamics, hierarchies, and inequalities. … Read more

Potential Abstract: In this study, we explore the intersection of race discourses, open science practices, and Derridean philosophy through the lens of a metalogue. Drawing on critical race theory and poststructuralist perspectives, we argue for the importance of deconstructing dominant narratives surrounding race in educational research and practice. By engaging in open science, which emphasizes … Read more

Potential Abstract: This research article explores the complex interplay between borderless narratives, learning analytics, commodified education, and simulation in the context of contemporary educational settings. In an era characterized by rapid technological advancements and globalization, traditional educational boundaries are being blurred, leading to the emergence of new narratives that transcend geographical, cultural, and disciplinary borders. … Read more

Potential Abstract: In this study, we propose a novel approach to analyzing political discourse in the field of education through the use of ChatGPT, a state-of-the-art language model. By leveraging the capabilities of ChatGPT, we aim to uncover hidden patterns, biases, and trends in political discussions surrounding educational policies, practices, and ideologies. This engineered approach … Read more

Potential Abstract: This article investigates the representation of racism in educational websites through a Derridean lens, employing genre analysis with a focus on Creative Commons licensing. Drawing on Derrida’s deconstructive approach to language and power dynamics, we critically examine how racism is perpetuated and challenged in online educational materials. The study delves into the ways … Read more

Potential Abstract: This study examines how dynamic grading practices influence student learning outcomes within the context of social networks, with a specific focus on the concept of positionality. Through a mixed-methods approach, utilizing both quantitative social network analysis and qualitative data collection methods, we investigate how teachers’ grading behaviors interact with students’ social positions within … Read more