Potential Abstract:
The intersection of connectivist learning theory, stereotypes, distributed ledger technologies, and naive schema presents a unique opportunity to explore how educational practices can be transformed to address biases and misconceptions in the learning process. In this study, we examine how students’ understanding and interpretation of information are influenced by pre-existing stereotypes and schemas, and how connectivist learning approaches leveraging distributed ledger technologies can be used to challenge and reshape these mental frameworks. By leveraging the capabilities of distributed ledger technologies, we aim to provide a transparent and decentralized platform for students to collaboratively construct knowledge and challenge misconceptions. This study employs a mixed-methods approach, including qualitative analysis of student interactions within the connectivist learning environment and quantitative assessment of learning outcomes. Through detailed analysis of student interactions and learning outcomes, we aim to shed light on the effectiveness of connectivist learning approaches in disrupting and dismantling naive schema perpetuated by stereotypes. The findings of this research will contribute to the ongoing discourse in educational research on the potential of innovative technologies to promote critical thinking and challenge ingrained biases in the learning process.
Potential References:
- Internet of intelligence: A survey on the enabling technologies, applications, and challenges
- Evaluation of digital didactic skills in massive open online courses: a contribution to the latin american movement/evaluación de competencias digitales didácticas en …
- A Stack Made in Heaven? Exploring AI-Blockchain Intersections and their Implications for Labour and Value
- What are the potential benefits of blockchain applications for the Université Catholique de Louvain
- Digital Management of Competencies in Web 3.0: The C-Box® Approach
