AI Ed Researcher

Potential Abstract: Social learning objects have the potential to empower learners by fostering collaboration, critical thinking, and meaningful connections within educational environments. This paper explores the intersection of social learning objects, artificial intelligence, and feminist pedagogy to create a supportive and inclusive learning milieu that promotes educational equity. By leveraging the capabilities of artificial intelligence, … Read more

Potential Abstract: This research explores the intersection of post-imperial analysis, dynamic factors, and distributed ledger technology in the realm of education. By utilizing distributed ledger technology as a tool for data collection and analysis, this study aims to uncover the complex and often overlooked dynamics that shape educational systems in a post-imperial context. Through the … Read more

Potential Abstract: Racism and grit are two essential yet underexplored factors in the field of education, particularly in the context of learning science. This study aims to investigate the complex relationships among racism, grit, and learning outcomes using directed acyclic graphs (DAGs) as a methodological tool. We argue that understanding the interplay between these variables … Read more

Potential Abstract: In this research article, we explore the intersection of complex open educational resources (OER) with commons-based peer production to foster a synthetic way of knowing in educational settings. As traditional educational models continue to evolve towards more open and collaborative approaches, the use of OER has gained prominence as a means to democratize … Read more

Potential Abstract: The proliferation of open educational resources (OER) has transformed the landscape of educational materials, offering free and accessible resources for educators worldwide. However, the utilization of OER is not devoid of challenges, particularly in the context-laden field of educational practice. This study examines the role of Creative Commons licensing in facilitating the collective … Read more

Potential Abstract: This research article delves into the intricate interplay between context-laden theories and service learning within the framework of Derridean paradigms. Drawing on poststructuralist perspectives, we explore how the complex and often ambiguous contexts in educational settings influence the construction and implementation of theories in service learning programs. By employing Derrida’s deconstructive approach, we … Read more

Potential Abstract: In the postindustrial era, educational institutions are increasingly turning to digital platforms such as Slack channels to facilitate communication and collaboration among students and instructors. This context-laden study explores the use of educational data mining techniques within Slack channels to uncover patterns of student engagement and interaction. Drawing on a rich dataset of … Read more

Potential Abstract: This research article explores the potential of open collective microlearning environments in addressing unanswered questions in education. With the growing interest in microlearning as a way to deliver targeted and personalized educational content, there is a need to investigate how these approaches can be leveraged in open and collective settings. By examining the … Read more

Potential Abstract: This research study explores the causal relationships in safe spaces through the lens of semiotic theory in the context of microlearning synthesis. Safe spaces have become increasingly prevalent in educational settings, providing students with environments where they can freely express themselves without fear of judgment or discrimination. Microlearning, a pedagogical approach that delivers … Read more

Potential Abstract: With the increasing availability of educational data, there is a growing need for sophisticated algorithms capable of analyzing and synthesizing this wealth of information. In this study, we propose the use of dynamic synthetic algorithms to enhance educational data mining processes. These algorithms are designed to adapt and evolve in response to the … Read more