Use of Learning Analytics in China: A Benchmarking Model for Higher Education

Use of Learning Analytics in China: A Benchmarking Model for Higher Education

Konstantinos Skampagiannis, Athanasios Pletsas
DOI: 10.4018/978-1-5225-8980-8.ch008
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Abstract

This chapter per the authors examines the feasibility of a learning analytics tool in the Chinese Higher Institutions educational environment. At first, the general definition of learning analytics is examined. Additionally, the authors shed light on case studies of universities that have already implemented learning analytics. Moreover, the Chinese educational environment is examined through a thorough analysis of the learning analytics necessity. Based on the literature review, a learning analytics tool is proposed. In a technical basis, the tool is a combination of ELLI or Effective Lifelong Learning Inventory, a dispositional learning analytics tool and a recommender system. The ultimate function of the tool is that it links students with a specific educational profile with successful students with similar profiles. Finally, the author identified the key limitations of the prototype and performed a general analysis on the tools goals and expectations in the Chinese Higher Education Institutions.
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Research Methodology

This paper bases its research primarily on secondary sources. The main focus is to present and analyze a literature review of contemporary sources that explore not only the socioeconomic background of China but also the current application of learning analytics in higher education institutions. In addition, the research is conducted based on the already established Chinese higher education institutional policies and procedures seeking to enhance the students’ learning experience. The collection of those sources will be synthesized in order to present a prototype of a learning analytics tool that can be incorporated in the Chinese educational system. Furthermore, the proposed tool has its foundations on the Chinese government willingness to cover essential need for complex issues in a rather innovative way.

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