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全球高等教育积极学习平台市场报告(2016-2020年)
Educational technology is a means to enrich the learning experience. To that end, digital classrooms make use of advanced technological learning aids (such as interactive whiteboards and 3D printing) to boost student interactivity and to enhance knowledge retention. As a result, educational institutions have increased their budgets to include more collaboration, assessment, and enterprise resource planning systems in their delivery methods. Standardization of curricula across regions along with increased Internet and broadband penetration are also propelling market growth. Many educational technology vendors have emerged to bolster the teaching and learning experience through their hardware and software solutions. We note that companies in this market have overcome complex regulatory hurdles (across geographies) to expand their market shares.
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全球高等教育云计算市场报告(2016-2020年)
Cloud computing is the use of computing resources where systems are connected by public or private networks to offer scalable infrastructure for applications and file storage. It offers a pool of resources that includes data storage, specified applications, and networks and computer processing power. Across regions, governments and private organizations are accelerating education digitization through various monetary and non-monetary initiatives. In an attempt to ensure equality in education and improve the quality of learning content, educational institutions have begun to implement services such as cloud computing and LMS. Within the education ecosystem, cloud computing helps students, faculty, and education organizations to use software and hardware managed by third-party service providers. Cloud computing can play a significant role in improving the quality of delivering higher education without compromising on the regulated and restricted learning environment.
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美国教育部门的视觉分析市场报告(2016-2020年)
Visual analytics is an emerging field of analytics that involves the use of visualization, data mining, and statistics to handle massive volumes of data. This is done with the help of human judgement by means of visual representations and interaction techniques. In visual analytics, instead of limiting the analysis to predefined metrics to examine data and study relations between parameters, data analysts are increasingly incorporating analytical reasoning and advanced computation with data visualization. business intelligence tools employ data in tabular forms. Whereas, visual analytics applies tools and practices, which make it easier for non-technical users to interact with the data through visual representations. It enables users to engage in analytical processes through visual representations, which are supported by computer graphics engines with integrated in-memory storage of data. This process facilitates rapid updates of multiple visualizations.