AI Ed Researcher

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

Potential Abstract: This study examines the implications of minimalist approaches to learning science in educational settings, with a specific focus on the disruptive nature of boundaries and the concept of situationality. Drawing on theories from artificial intelligence and education, we explore how minimalist instructional design strategies can challenge traditional notions of boundaries within the science … Read more

Potential Abstract: This research article explores the innovative application of generative artificial intelligence (AI) within the realm of education, specifically focusing on the intersection of causal ecologies and game theoretic solutions. By harnessing the power of generative AI, we aim to enhance the understanding and implementation of causal relationships within complex educational systems. Utilizing game … Read more

Potential Abstract: This research study explores the integration of pragmatist philosophy, concept mapping techniques, and service learning pedagogy within the context of education. Grounded in the belief that knowledge is constructed through action and reflection, the study adopts a stigmergic approach to praxis, emphasizing the importance of collaboration, iteration, and emergent knowledge creation. Drawing on … Read more

Potential Abstract: Abstract: This research explores the intersection of individualized learning, open science, ungrading practices, and uncontested rurality within the field of education. By examining how these innovative pedagogical approaches can be harnessed to address the unique challenges faced by rural students, particularly in terms of academic assessment and feedback, this study aims to contribute … Read more

Potential Abstract: This article explores the potential of integrating commons-based peer production practices within educational contexts, particularly through the utilization of Slack channels as a collaborative platform. Drawing on Marxist theories of ownership, labor, and knowledge production, we argue for a reframing of education that emphasizes collective creation, sharing, and ownership of educational resources. Through … Read more

Potential Abstract: Large language models (LLMs) have gained widespread attention in the field of education for their potential to enhance learning experiences and improve educational outcomes. However, the deployment of these sophisticated AI systems also raises concerns about perpetuating and exacerbating existing inequities in the educational landscape. This study critically examines the mediated inequities that … Read more

Potential Abstract: In this study, we investigate the utilization of Slack channels as a discrete learning environment for the dissemination of learning science content. With the rise of online platforms and digital tools, educators and researchers are exploring innovative ways to engage students in meaningful learning experiences. This research focuses on the design and implementation … Read more

Potential Abstract: This research article explores the application of innovative scoring methods on a distributed ledger platform within the realm of education, examining its potential for expanding educational opportunities. Drawing upon a Levinasian framework, the study investigates how the integration of distributed ledger technology can enhance assessment practices and create more equitable learning environments. The … Read more