AI Ed Researcher

Potential Abstract: This study investigates the intersectional impacts of cryptocurrency commodification within educational communities, utilizing visualization techniques to analyze and interpret complex data. With the rise of cryptocurrency as a form of digital currency and investment, there is a growing need to understand its implications for educational stakeholders across various social identities. By adopting an … Read more

Potential Abstract: This research study explores the intersection of cognitive biases, machine learning, and open educational resources (OER) within the context of educational settings. Cognitive biases are inherent in human decision-making processes and can significantly impact how educators and learners interact with OER. By reframing the discussion around cognitive biases through the lens of machine … Read more

Potential Abstract: This research article explores the impacts of innovative open educational practices within educational settings through a poststructural framework. By utilizing a poststructural lens, the study aims to unpack the underlying power dynamics, hierarchies, and structures that shape and influence the implementation and outcomes of open educational practices. Drawing on poststructural theories, particularly those … Read more

Potential Abstract: In the digital age, virtual safe spaces have emerged as platforms for individuals to engage in discussions and interactions while feeling protected and supported. However, the very nature of these spaces can also perpetuate cognitive biases, hindering critical thinking and reflective dialogue. This research delves into the exploration of cognitive biases within virtual … Read more

Potential Abstract: This research article delves into the intersection of constructivist pedagogy, hegemonic structures, and emerging technologies within the realm of education. Specifically, the study explores how Jupyter notebooks and cloud technologies can be leveraged to enhance student learning experiences in a constructivist framework while also critically examining the ways in which power dynamics are … Read more

Potential Abstract: Abstract: This research study explores the intersection of personalized learning, open educational practices, and poststructuralism through the use of visualization techniques. Drawing on poststructuralist perspectives that challenge fixed notions of identity and knowledge, the study examines how educators can leverage open educational practices to create personalized learning experiences within diverse spheres of learning … Read more

Potential Abstract: This research study delves into the nuanced and often overlooked political meanings embedded within the realm of multivoiced microlearning solutions in education. By examining the intersection of political influences and educational technologies, this study aims to shed light on how various voices, perspectives, and power dynamics converge in the design and implementation of … Read more

Potential Abstract: In the evolving landscape of education, the integration of virtual learning environments has become increasingly prevalent. This shift brings about new opportunities and challenges, particularly in how educational objectives are shaped and pursued. This research article examines the role of open data in guiding decision-making processes within virtual educational spaces, which are often … Read more

Potential Abstract: This research article explores the potential of using ChatGPT, a cutting-edge AI technology, to address inequities in education through experiential learning approaches. Drawing on a Foucauldian theoretical framework, we examine how ChatGPT can be leveraged to create personalized and interactive learning experiences that cater to diverse student needs and backgrounds. By centering on … Read more

Potential Abstract: In recent years, the integration of microlearning programs into educational settings has gained significant attention due to its potential to facilitate personalized and efficient learning experiences. However, the effectiveness of these programs heavily relies on the underlying causal models employed to structure content delivery and assessment. This study investigates the role of critical … Read more