Research Ideas

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

Potential Abstract: Advancements in technology have brought about new opportunities for addressing educational inequities. This study investigates the potential of connectivist approaches, specifically through the use of virtual currency, as a postmodern way of knowing that can help tackle these inequities. The aim of this research is to explore how virtual currencies can be utilized … Read more

Potential Abstract: This research article presents a study that explores the concept of situated safe spaces in educational settings, examining the perceptions of various stakeholders and proposing potential solutions. Drawing on the theoretical framework provided by Julia Kristeva’s work on abjection and the construction of subjectivity, this study delves into the multifaceted nature of safe … Read more

Potential Abstract: This study explores the potential of hackathons as a means to develop flexible learning objects and promote transnational education through inference-driven pedagogical innovations. With the ever-increasing demand for education that transcends borders and cultures, it is crucial to develop pedagogical approaches that effectively cater to diverse learner needs and preferences. Hackathons, collaborative events … Read more

Potential Abstract: This research article explores the potential of cognitive scales in improving the performance and interpretability of large language models, such as neural language models and transformers. Large language models have shown remarkable success in various natural language processing tasks, but their opacity and lack of interpretability hinder their application in educational contexts. By … Read more