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Educational Data Mining: A Guide for Educational Researchers

Educational Data Mining: A Guide for Educational Researchers

Osman Kandara, Eugene Kennedy
Copyright: © 2020 |Pages: 17
ISBN13: 9781799811732|ISBN10: 1799811735|ISBN13 Softcover: 9781799811749|EISBN13: 9781799811756
DOI: 10.4018/978-1-7998-1173-2.ch001
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MLA

Kandara, Osman, and Eugene Kennedy. "Educational Data Mining: A Guide for Educational Researchers." Advancing Educational Research With Emerging Technology, edited by Eugene Kennedy and Yufeng Qian, IGI Global, 2020, pp. 1-17. https://doi.org/10.4018/978-1-7998-1173-2.ch001

APA

Kandara, O. & Kennedy, E. (2020). Educational Data Mining: A Guide for Educational Researchers. In E. Kennedy & Y. Qian (Eds.), Advancing Educational Research With Emerging Technology (pp. 1-17). IGI Global. https://doi.org/10.4018/978-1-7998-1173-2.ch001

Chicago

Kandara, Osman, and Eugene Kennedy. "Educational Data Mining: A Guide for Educational Researchers." In Advancing Educational Research With Emerging Technology, edited by Eugene Kennedy and Yufeng Qian, 1-17. Hershey, PA: IGI Global, 2020. https://doi.org/10.4018/978-1-7998-1173-2.ch001

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Abstract

This chapter presents a comprehensive discussion of educational data mining and its potential for educational research. The origins of data mining and the emergence of educational data mining are discussed. The variety of data generated in education (e.g., text, speech, performance, etc.) are described and the challenges of mining these data for useful information are identified. Techniques for mining these data are discussed. Software used to mine these data are noted and issues of theory and ethics are considered. Examples from published literature are cited throughout the chapter and recommendations for educational researchers are offered.

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