The aim of this paper is to review the blockchain technology and its benefits in relations to education system. Blockchain technology is widely researched and highly evaluated and appraised for its unique infrastructure. In general, blockchain researched for its association with Bitcoin and cryptocurrency advantages. In this survey the plan is to conduct a full review of previous literatures focused on blockchain in education systems. Provide overall reviews of blockchain concepts and architecture behind the technology and to examine verification software that used by the technology to improve security and immutability. Brief discussion on the consensus algorithms and hashing function and how these operate and difference type of blockchain will be discussed. In this survey, the existing technology used in Saudi Arabia will be reviewed. Indepth research conducted for over 70 papers, of which 35 noted in this survey. Blockchain emerging promise a real time democracy and justice to all users over the world. Educational Industries said to revolutionize its communication system and accessibility and extend their market globally by widening their admissions and providing secure cost-effective, transparent and immutable communications across their educational platforms.
A wide variety of Collaborative Technologies (CT) emerged to facilitate the collaboration among peers. Despite the extensive literature of CT adoption in various contexts, a massive lack exists in CT adoption by academic researchers. Consequently, this study concerns the CT adoption by academic researchers. The study investigates how academic researchers' Absorptive Capacity (ACAP) impacts the acceptance of CT for research purpose. The authors have extended Technology Acceptance Model (TAM) to explain how academic researchers' ACAP of CT impacts the academic researchers' Behavioral Intention (BI) to accept those technologies for researching purpose. The extended model was empirically evaluated using a survey data collected from 72 researchers in the academic fields from a leading university in Malaysia. The quantitative analysis indicated that the researchers' differences represented by ACAP influence their behavioral intention towards CT acceptance. Except insignificant impacts of ACAP for understanding and ACAP for assimilating dimensions on Perceived Usefulness (PU), and ACAP for applying on Perceived Ease of Use (PEOU).
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