AI Ed Researcher

Potential Abstract: This research article explores the integration of operant conditioning principles with eigenvectors analysis through the use of an application programming interface (API) in the context of transnational science education. By combining behaviorist learning theories with advanced mathematical concepts, this study aims to enhance the effectiveness of educational interventions in science education across diverse … Read more

Potential Abstract: This research article delves into the intersection of behavioral economics and feminist perspectives within the realm of democratic economics. The study seeks to uncover how different frames and narratives within behavioral economics can either reinforce or challenge traditional economic structures and power dynamics, particularly through a feminist lens. By analyzing how various behavioral … Read more

Potential Abstract: This research explores the integration of operant learning principles and eigenvectors in virtual reality (VR) educational environments to enhance conversational skills among learners. By leveraging Creative Commons resources, this study aims to investigate the effectiveness of incorporating behavioral reinforcement techniques and mathematical representations in VR simulations to promote more engaging and interactive conversations. … Read more

Potential Abstract: This research article delves into the intersection of operant conditioning, safe spaces, open science, and Foucauldian theory to examine the construction and utilization of causal models in educational research. Drawing on the theoretical framework of Foucault’s concept of disciplinary power, this study seeks to explore how the design and implementation of safe spaces … Read more

Potential Abstract: In recent years, the intersection of social networks and artificial intelligence has opened up promising avenues for creating synthetic milieus for educational research. This study explores the potential of leveraging social networks and artificial intelligence techniques to simulate complex educational environments for research purposes. By combining data from social networks with advanced AI … Read more

Potential Abstract: In recent years, the intersection of technology and education has become a focal point for researchers seeking to address issues of equity, access, and social justice in educational settings. This study delves into the complex relationship between racism and transformative technologies, particularly focusing on the use of Jupyter notebooks in cloud-based Massive Open … Read more

Potential Abstract: In this research article, we delve into the intersection of innovative frames of representation in education and the integration of application programming interfaces (APIs) through a postmodern lens. We argue that the traditional modes of educational representation are evolving in response to the digital age, paving the way for new and dynamic forms … Read more

Potential Abstract: This research investigates the nuanced interpersonal dynamics that shape scoring practices in the context of economics education through the utilization of educational data mining techniques. Drawing on a phenomenological approach, we aim to uncover the subjective experiences and perspectives of educators involved in the assessment and grading processes. By analyzing large-scale educational data … Read more

Potential Abstract: In this study, we explore the intersection of constructivist learning, prejudices, virtual currency, neoliberal ideologies, and cognitive schemas in educational settings. Drawing on social constructivist theory, we investigate how students’ preconceived biases and stereotypes can be addressed through immersive virtual learning environments that incorporate the use of virtual currency. By engaging students in … Read more

Potential Abstract: Abstract: In the era of digital transformation, algorithmic scoring has become increasingly prevalent in educational assessment, particularly in the realm of cloud-based operations (cloud ops). This study examines the disruptive implications of algorithmic scoring on traditional educational practices, pedagogies, and learning outcomes. Through a mixed-methods approach, we investigate how the implementation of algorithmic … Read more