Potential Abstract: This research article investigates the role of authenticity in the context of phenomenological theories through the utilization of a collective portal. The study aims to deepen our understanding of how authentic experiences and reflections can enhance the application of phenomenological theories in educational settings. The collective portal serves as a platform for educators, … Read more
Potential Abstract: This study investigates the potential of minimalist grit in distributed ledger systems to foster transformative learning experiences in education. The growing influence of distributed ledger technologies, such as blockchain, has sparked interest in their application to educational contexts. However, the impact of personal attributes, such as grit, within these systems remains underexplored. The … Read more
Potential Abstract: This research article explores the causal relationship between the utilization of open educational resources (OER) and the emergence of stigmergic textuality within an educational context. Stigmergic textuality refers to the collaborative creation of knowledge and learning artifacts through self-organizing, decentralized interactions facilitated by digital platforms. A key technological enabler for this study is … Read more
Potential Abstract: This study investigates the integration of constructionist pedagogy and the collaborative software development platform GitHub to enhance text-based learning in the context of standard education. Drawing on Keynesian educational theories, which emphasize active student engagement and the development of critical thinking skills, this research explores the potential of constructionist approaches in leveraging GitHub’s … Read more
Potential Abstract: This research article examines the potential of emancipatory ungrading as a pedagogical approach that combines the use of augmented reality (AR) and Creative Commons (CC) licensing to enhance textuality in education. Emancipatory ungrading challenges traditional grading practices by fostering learner agency, critical thinking, and creativity. By leveraging the affordances of AR, students are … Read more
Potential Abstract: This study employs social network analysis (SNA) to examine the context-laden objectives of semiotic textuality in educational settings. Semiotic textuality refers to communication through signs and symbols that carry multiple layers of meaning. Understanding the objectives embedded within such contexts is crucial for designing effective educational interventions. This research investigates how social network … Read more
Potential Abstract: This study investigates the potential of integrating gestalt-based texts and learning analytics in fostering political learning through a simulation approach. The aim is to explore the extent to which learners’ political knowledge, skills, and attitudes can be enhanced by utilizing a combination of visual and textual information, data-driven insights, and interactive simulations. Employing … Read more
Potential Abstract: This study investigates the intricate dynamics of mediated learning through the integration of distributed hashing and machine learning techniques. Mediated learning, which emphasizes the role of social interaction in promoting cognitive development, has gained increasing attention in educational research. However, the complexity and nuance inherent in the mediational processes have proven challenging to … Read more
Potential Abstract: This research article presents an innovative approach to the assessment of transnational education through the implementation of a genetic scoring inference model. The increasing number of students engaged in transnational learning necessitates the development of reliable and efficient methods for evaluating their educational outcomes. The proposed model leverages the power of genetic algorithms, … Read more
Potential Abstract: This research article investigates the potential of integrating principles from Gestalt theory, generative artificial intelligence (AI), and stigmergic schema in text-based educational environments. The aim is to enhance learning experiences by leveraging the power of AI to generate interactive and adaptive educational content that aligns with learners’ cognitive processes. The study proposes a … Read more
