AI Ed Researcher

Potential Abstract: This study delves into the intricate relationship between context-laden texts, cognitive biases, and the process of object-oriented innovation within educational settings. Drawing on a combination of artificial intelligence methodologies and educational research frameworks, we seek to uncover how the context in which texts are embedded can influence cognitive biases and subsequently impact innovation … Read more

Potential Abstract: Counterfactual thinking is a powerful cognitive tool that allows individuals to explore alternative outcomes and possibilities, enabling a deeper understanding of the causal relationships underlying complex systems. In the realm of education, the integration of generative artificial intelligence (AI) technologies offers new opportunities to leverage counterfactuals for creative disruption and nuanced learning experiences. … Read more

Potential Abstract: This research article explores the intersection of experiential learning, cyberspaces, and augmented reality metaverses in education. With the rapid advancement of technology, educators are increasingly turning to immersive virtual environments to enhance student engagement and learning outcomes. This study delves into the potential of leveraging augmented reality metaverses to create experiential learning opportunities … Read more

Potential Abstract: This research article addresses the unanswered questions in education through a novel approach involving the discrete analysis of eigenvectors using Jupyter notebooks and cloud technologies. The study explores the potential of leveraging advanced mathematical concepts in educational research to gain deeper insights into complex educational phenomena. By employing discrete mathematics and eigenvector analysis, … Read more

Potential Abstract: In the current postindustrial milieu, characterized by rapid technological advancements and shifting economic landscapes, the concept of operant margins has gained prominence in educational research. This study examines the intersection of operant conditioning principles, particularly in the context of cryptocurrency, within educational settings. By focusing on how learners interact with and are influenced … Read more

Potential Abstract: In recent years, large language models (LLMs) have gained significant attention for their capabilities in generating human-like text. However, the use of LLMs in educational settings raises important questions about the potential political implications of the outputs they produce. This empirical study explores how anchors embedded in LLMs can influence the generation of … Read more

Potential Abstract: This research study explores the intersection of authentic knowledge generation, learning analytics, and multivoiced perspectives in educational settings. With the rise of digital technologies and data-driven approaches in education, there is a growing interest in leveraging learning analytics to enhance teaching and learning experiences. However, the question of how to ensure the authenticity … Read more

Potential Abstract: In the increasingly diverse landscape of education, understanding the roles of multiculturalism is essential for fostering inclusive learning environments. This study explores the application of phenomenological analysis in examining the experiences and perspectives of educators and students from diverse cultural backgrounds. Leveraging the innovative tools of Jupyter notebooks and cloud technologies, researchers can … Read more

Potential Abstract: Open science initiatives have provided opportunities for educators to engage with vast amounts of information and resources in virtual hypermedia environments. This paper presents a critical analysis of how the mode of address in these environments impacts educational practices and outcomes. Drawing on insights from both artificial intelligence and education research, we examine … Read more

Potential Abstract: Personalized learning has gained increasing attention in the field of education due to its potential to cater to individual student needs and preferences. However, the implementation of personalized learning approaches often faces challenges in accurately perceiving students’ needs and adapting instructional strategies accordingly. In this study, we propose a novel approach that leverages … Read more