The study is to propose the structural equation model for sustainability in higher education about the use of cloud learning based on the technology acceptance model. Also, this well-known implemented-model was developed by Davis et al.’s technology acceptance model (TAM). The researchers instituted the hypothesized internal hierarchy among content quality, cloud computing, and social cloud for sustainability usage. The informed hypothesis was obtained from a scientific method known as the systematic literature review. After that, the higher education institutes in Thailand has given attention to the burgeoning of cloud learning due to the additional demand in line with technology development for tertiary instruction in the country. Nevertheless, the strength of its usage is not very outstanding, and there is a need to understand the student’s attitude on the sustainability usage of cloud learning from the perspectives of the technology acceptance model. This study indicated that sustainability usage was a significant predictor towards student to use cloud learning. As a result, it is seen that pupils' attitude plays a vital role in contributing to the sustainability to use cloud learning. The consequence of this study is expected to improve and upgraded cloud learning to be beneficial according to the needs of the students.

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The system architecture of learning analytics in intelligent virtual learning environment, which should observe online students while they study learning content via the Internet.. The purposes of the development of this system architecture.were to.analyze and design learning analytics system architecture, and to propose this system architecture. .Regarding the architecture design, the researcher employed the system development life cycle (SDLC).which are seven phases. .planning, system analysis and requirements, system design, development, integration and testing, implementation and operation and maintenance. .The researchers relied on learning analytics and intelligent virtual learning theories so that the students and instructors should acquire the effective and efficient learning from the system. .The results of this research could be summarized that the system architecture consists of two stakeholders. .students and instructors. .In addition, there are three subsystems. .data analysis, learning analytics and report management. .Moreover, there are three databases to support the system i. e. .user database, analytics database and report database.

The system architecture of learning analytics in intelligent virtual learning environment, which should observe online students while they study learning content via the Internet. . The purposes of the development of this system architecture.were to.analyze and design learning analytics system architecture, and to propose this system architecture. . Regarding the architecture design, the researcher employed the system development life cycle (SDLC).which are seven phases. .planning, system analysis and requirements, system design, development, integration and testing, implementation and operation and maintenance. .The researchers relied on learning analytics and intelligent virtual learning theories so that the students and instructors should acquire the effective and efficient learning from the system. .The results of this research could be summarized that the system architecture consists of two stakeholders. .students and instructors. .In addition, there are three subsystems. .data analysis, learning analytics and report management. .Moreover, there are three databases to support the system i. e. .user database, analytics database and report database.

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