Potential Abstract: This research article presents a novel study that explores the use of situated frames within a cognitive science portal, adopting a genre-based approach. Situated frames, defined as the mental constructs individuals employ to interpret and make sense of information, play a critical role in shaping learning experiences and outcomes. The cognitive science portal, … Read more
Potential Abstract: This study investigates the potential of naive conversational agents (NCAs) to support open learning objectives within the context of Non-Fungible Tokens (NFTs). NCAs, also known as chatbots, have gained popularity in education as they can simulate human-like conversations and provide personalized guidance to learners. However, little is known about their effectiveness in facilitating … Read more
Potential Abstract: This research study aims to investigate the role of multicultural texts in mitigating cognitive biases and promoting socialist inference in educational settings. The increasing multicultural nature of classrooms calls for an examination of instructional practices that facilitate students’ critical engagement with diverse perspectives. Moreover, cognitive biases can hinder students’ ability to accurately interpret … Read more
Potential Abstract: This research article explores the potential of Heideggerian hackathons as a novel approach to reframing mindsets and promoting racial equity in education. Drawing from critical theories of race and education, as well as Heidegger’s philosophy, this study investigates the impact of hackathons on participants’ perceptions of race and their role in advancing racial … Read more
Potential Abstract: This research article aims to shed light on the experiential inequities that exist within educational settings, specifically focusing on the perception of Heideggerian schemas. Drawing upon the philosophy of Martin Heidegger and insights from educational psychology, this study investigates how students’ subjective experiences and perceptions of the educational environment are shaped by their … Read more
Potential Abstract: This research article investigates the use of concept maps in conjunction with GitHub to support ill-structured problem solving in educational settings. Ill-structured problems pose unique challenges due to their open-ended nature and lack of clear problem-solving procedures. Concept maps, graphical representations of knowledge structure, have been effective in enhancing conceptual understanding and knowledge … Read more
Potential Abstract: This study investigates the potential of techno-social chat bots, powered by the Interplanetary File System (IPFS), to facilitate the acquisition of naive genre knowledge in educational settings. Naive genre refers to the limited understanding of genre conventions and expectations that novices possess. While developing genre awareness is crucial for effective communication, traditional educational … Read more
Potential Abstract: This research article explores the pervasive issue of ill-structured inequities in the context of learning science, with a focus on the role of reified equations. Ill-structured problems, characterized by ambiguities, multiple solutions, and real-world complexity, pose significant challenges for learners. Moreover, educational systems often fail to address inequities, exacerbating the already complex nature … Read more
Potential Abstract: Abstract: In recent years, the need for anti-racist safe spaces in educational settings has been recognized as a critical step towards fostering inclusivity and equity. This research article examines the potential of reified data science in establishing and maintaining such safe spaces within education commons. Drawing on the intersection of artificial intelligence and … Read more
Potential Abstract: This research article delves into the intersection of operant experiments, artificial intelligence (AI), and conservative causal models in the field of education. With the advent of advanced technologies, AI has the potential to revolutionize the educational landscape. The present study aims to explore how operant experiments guided by AI can contribute to the … Read more
