Potential Abstract:
Abstract:
This research article explores the potential of using blockchain technology to enhance the understanding of naive inference in educational settings, with a particular focus on the role of categorical knowledge. Naive inference, the process by which individuals make logical deductions based on limited or incomplete information, is a fundamental aspect of cognitive development and can significantly impact learning outcomes. However, the mechanisms underlying naive inference and its relationship to categorical knowledge are still not fully understood.
With the emergence of blockchain technology, there is an opportunity to leverage its decentralized and transparent nature to capture, store, and analyze educational data related to categorical knowledge and naive inference. By utilizing blockchain, this study aims to create a robust and secure platform for collecting and analyzing student data, such as their understanding of categorical concepts and their ability to make inferences based on this knowledge.
The research will adopt a mixed-methods approach, encompassing both quantitative and qualitative data collection and analysis techniques. The quantitative aspect will involve the design and implementation of a blockchain-based educational platform, where students will engage in interactive learning activities focused on categorical knowledge and naive inference. Data, such as students’ responses to categorical reasoning tasks and their inferences based on these tasks, will be recorded on the blockchain for further analysis. To complement the quantitative approach, qualitative interviews will be conducted to gain insights into students’ perceptions and experiences regarding the platform, their approaches to naive inference, and their use of categorical knowledge.
The findings of this study will contribute to the existing literature by shedding light on the relationship between categorical knowledge and naive inference, as well as exploring the potential benefits and challenges of utilizing blockchain technology in educational research. Additionally, this research can have practical implications for instructional design, curriculum development, and the use of innovative technologies in educational settings.
Potential References:
- Knowledge discovery in cryptocurrency transactions: A survey
- PPSF: A privacy-preserving and secure framework using blockchain-based machine-learning for IoT-driven smart cities
- SoK: Blockchain Decentralization
- TP2SF: A Trustworthy Privacy-Preserving Secured Framework for sustainable smart cities by leveraging blockchain and machine learning
- A trustworthy network or a technologically disguised scam: A biblio-morphological analysis of bitcoin and blockchain literature
