AI Ed Researcher

Potential Abstract: This research study explores the intersection of flexible mindsets, social network analysis, and Heideggerian way of knowing in educational settings. Drawing on the theoretical framework of flexible mindsets, which emphasizes the importance of adaptability and openness to new ideas, the study employs social network analysis to examine how students’ social connections influence their … Read more

Potential Abstract: This research examines the potential of utilizing digital platforms, specifically GitHub, to cultivate anti-racist practices within educational spaces. Drawing on Derridean deconstruction as a theoretical framework, the study investigates how learning can be reimagined as interconnected spheres that intersect and interact through digital conversations. By analyzing the discourses and interactions on GitHub related … Read more

Potential Abstract: Understanding how students learn and interact within educational settings is crucial for designing effective teaching strategies. Social network analysis provides a valuable lens through which to examine these learning patterns. This study applies a descriptive social network analysis framework to investigate the dynamics of student interactions and knowledge sharing in a Keynesian classroom … Read more

Potential Abstract: Individualized learning has gained increased attention in education, with a focus on tailoring instruction to meet the unique needs of each learner. This study explores the intersection of individualized learning frames, the use of artificial intelligence in education, and postmodern economics pedagogy. Specifically, we investigate the potential of leveraging ChatGPT, a state-of-the-art language … Read more

Potential Abstract: Adaptive learning analytics present a promising avenue for optimizing educational outcomes by tailoring instruction to individual learners. Despite the potential benefits, the field of adaptive learning is rife with contested constructs and unexplored transgressions. This study aims to unpack the complexities surrounding adaptive learning analytics by delving into the uncontestable constructs that underpin … Read more

Potential Abstract: This research article explores the intersection of social learning objects and commons-based peer production within a synthetic milieu. Drawing on theories from artificial intelligence and education, this study investigates how the collaborative creation of learning objects in a digital environment can enhance learning outcomes and foster a sense of community among participants. By … Read more

Potential Abstract: Abstract: This research article examines the potential implications of combining adaptive grading systems with blockchain technology through a Deweyan lens in the field of education. Traditional grading practices often present limitations in effectively assessing student learning progress and providing timely feedback. By integrating adaptive algorithms that adjust grading criteria based on individual student … Read more

Potential Abstract: In today’s rapidly evolving educational landscape, fostering creativity and multiple perspectives among learners is essential. This study explores the intersection of creative learning environments, multivoiced discourse, and emerging technologies such as Slack channels within the metaverse. By leveraging these digital platforms, we aim to unravel the complex dynamics of collaborative creativity and nuanced … Read more

Potential Abstract: In this study, we explore the intersection of gamefied learning, storytelling, the Interplanetary File System (IPFS), and deconstructionist theory within Massive Open Online Courses (MOOCs). Gamefied education has gained popularity for its ability to engage learners through game-like elements, while storytelling has been recognized as a powerful tool for conveying complex information and … Read more

Potential Abstract: Abstract: This research study explores the intersection of data science, artificial intelligence, and cultural representation in educational participation. The increasing diversity within educational settings calls for innovative approaches to ensure equitable opportunities for all students. Through a mixed-methods approach, this study aims to investigate how artificially intelligent systems can be leveraged to enhance … Read more