Abstract
Big data is a term used to refer to data sets that are too large or complex for traditional data-processing application software to adequately deal with. With the deep integration between information technology and education, researchers at home and abroad have made great progress in the field of big data in education. Nevertheless, a comprehensive quantitative analysis of the emerging research trends and topics has not yet been discovered. To reveal the research characteristics and current status of educational big data, 2052 related papers from the China National Knowledge Infrastructure (CNKI) were analyzed by CiteSpace V software. The results display that: (1) the domain of education big data was launched in 2013 and has experienced a rapid growth in the past five years, reaching an all-time high in 2017. XianMing Yang and Central China Normal University are at the forefront of contributing authors and organization respectively. (2) “Education in ideology and politics” is the most frequently-used keywords and “electronic schoolbag”, “educational reform” and “MOOC” have the longest outbreak range. “Big data era”, “educational innovation”, “big data”, “educational evaluation”, “educational management”, “educational application”, “higher education” and “educational informatization” are the top eight largest clusters. Those are the topical research topics in the field of educational big data.
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