AI & Blockchain as sustainable teaching and learning tools to cope with the 4IR
The Fourth Industrial Revolution (4IR) is transforming the way we live and work, and education is no exception. To cope with the challenges of 4IR, there is a need for innovative and sustainable teaching and learning tools. AI and block chain technologies hold great promise in this regard, with potential benefits such as personalized learning, secure credentialing, and decentralized learning networks. This paper presents a review of existing research on AI and block chain in education, analyzing case studies and exploring the potential benefits and challenges of these technologies. The paper also suggests a unique model for integrating AI and block chain into sustainable teaching and learning practices. Future research directions are discussed, including the need for more empirical studies and the exploration of ethical and social implications. The key summary of this discussion is that, by enhancing accessibility, efficacy, and security in education, AI and blockchain have the potential to revolutionise the field. In order to ensure that students can benefit from these potentially game-changing technologies as technology develops, it will be crucial to find ways to harness its power while minimising hazards. Overall, this paper highlights the potential of AI and block chain as sustainable tools for teaching and learning in the 4IR era and their respective advantages, issues and future prospects have been discussed in this writing.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Decentralized P2P Trading based on Blockchain for Retail Electricity Markets
This paper introduces peer to peer (P2P) trading mechanisms based on decentralized Blockchain to facilitate retail electricity market for ever-increasing distributed energy resources (DERs). The Blockchain network suppor…
Affordable On-line Dialogue Policy Learning
The key to building an evolvable dialogue system in real-world scenarios is to ensure an affordable on-line dialogue policy learning, which requires the on-line learning process to be safe, efficient and economical. But …
Dialogue ManagementHow to Not Get Caught When You Launder Money on Blockchain?
The number of blockchain users has tremendously grown in recent years. As an unintended consequence, e-crime transactions on blockchains has been on the rise. Consequently, public blockchains have become a hotbed of rese…
Blockchain Federated Learning for Sustainable Retail: Reducing Waste through Collaborative Demand Forecasting
Effective demand forecasting is crucial for reducing food waste. However, data privacy concerns often hinder collaboration among retailers, limiting the potential for improved predictive accuracy. In this study, we explo…
Federated LearningVulnerability Detection in Ethereum Smart Contracts via Machine Learning: A Qualitative Analysis
Smart contracts are central to a myriad of critical blockchain applications, from financial transactions to supply chain management. However, their adoption is hindered by security vulnerabilities that can result in sign…
Vulnerability Detection