AI Ed Researcher

Potential Abstract: Abstract: This study explores the role of categorical representation in educational technologies through the lens of social network analysis. Drawing on deconstructionist theory, the research examines how different categories are constructed and reinforced within digital learning environments. The study utilizes social network analysis techniques to uncover patterns of categorical representation and to investigate … Read more

Potential Abstract: This research article examines the intersection of creativity, networks, and large language models within educational contexts from a poststructural lens. In recent years, the emergence of large language models, such as GPT-3 and BERT, has revolutionized natural language processing and generated significant interest in their potential applications across various domains, including education. These … Read more

Potential Abstract: This research explores the intersection of race, infrastructures, and digital commons in the post-imperial era, focusing on the potential of the Interplanetary File System (IPFS) as a tool for building equitable and inclusive educational environments. Drawing on critical race theory and decolonial perspectives, we investigate how existing power structures perpetuate educational inequities and … Read more

Potential Abstract: This research study explores the impact of constructionist, open educational practices on student learning through the use of centered texts and metalogue. Drawing upon principles of constructionism, which emphasize active engagement with learning materials and collaborative problem-solving, this study investigates how incorporating centered texts and engaging in metalogues can enhance student understanding and … Read more

Potential Abstract: Recent advances in large language models have opened up new possibilities for flexible and personalized educational content delivery through hypermedia platforms. This study explores the integration of feminist pedagogical principles within the design and implementation of educational materials utilizing large language models and flexible hypermedia. By examining the potential of incorporating feminist perspectives … Read more

Potential Abstract: In this study, we investigate the role of virtual infrastructures in education through a hermeneutic market analysis informed by principles of behavioral economics. The increasing prevalence of virtual learning environments has brought about a shift in educational paradigms, presenting new opportunities and challenges for educators, policymakers, and stakeholders. Drawing on insights from behavioral … Read more

Potential Abstract: This research article explores the concept of mediated constructs within the context of commons-based peer production in education, utilizing a Keynesian economic perspective to inform simulation practices. In recent years, there has been a growing interest in leveraging digital technologies and online platforms to facilitate collaborative learning and knowledge creation in educational settings. … Read more

Potential Abstract: This study explores the intersection of flexible learning environments, eigenvectors, behavioral economics, and the neoliberal milieu in education. The concept of flexibility in learning spaces has gained momentum in educational research and practice, emphasizing the importance of adaptable environments that cater to diverse student needs and learning styles. Eigenvectors, a mathematical concept used … Read more

Potential Abstract: This research study delves into the exploration of sociopolitical constructs in education through the lens of poststructural theory and the application programming interface (API) concept. By engaging in API conversations within educational settings, this study aims to uncover and analyze the various power dynamics, social structures, and ideological influences that shape educational practices … Read more

Potential Abstract: Abstract: This research study explores the potential of leveraging social networks and open data to generate synthetic standardized testing data for educational research purposes. With the increasing emphasis on data-driven decision making in education, the availability of reliable and comprehensive testing data is crucial. However, access to standardized testing data is often limited … Read more