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    EDUCATIONAL DATA MINING AND ITS USES TO PREDICT THE MOST PROSPEROUS LEARNING ENVIRONMENT

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    Author
    Whitley, Lewis Adam
    Abstract
    The use of technology and data analysis within the classroom has been a resourceful tool in order to collect, study, and compare a student's level of success. With the large amount of regularly collected data from student behaviors, and course structure there is more than enough resources in order to find student success with data analysis. A method of data analysis within a learning environment is called Educational Data Mining (EDM), which has proven to be an emerging trend when it involves the development of exploration techniques and the analysis of educational data. EDM has been able to contribute to the understanding of student behavior, as well as factors that influence both student actions and their success. The study of student success within EDM has focused on student learning patterns, student to teacher culture, and teaching techniques. In this research we will look at uses of technology and data mining in an EDM setting and compare the success of findings. Using past experience of other research we will determine which method would be best in order to look at a learning environment, and try to find which factors will affect a student's academic performance.
    URI
    http://hdl.handle.net/10342/6728
    Subject
     Education Data Mining; Cluster Mining; Classification Mining 
    Date
    2018-04-23
    Citation:
    APA:
    Whitley, Lewis Adam. (April 2018). EDUCATIONAL DATA MINING AND ITS USES TO PREDICT THE MOST PROSPEROUS LEARNING ENVIRONMENT (Master's Thesis, East Carolina University). Retrieved from the Scholarship. (http://hdl.handle.net/10342/6728.)

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    MLA:
    Whitley, Lewis Adam. EDUCATIONAL DATA MINING AND ITS USES TO PREDICT THE MOST PROSPEROUS LEARNING ENVIRONMENT. Master's Thesis. East Carolina University, April 2018. The Scholarship. http://hdl.handle.net/10342/6728. December 02, 2023.
    Chicago:
    Whitley, Lewis Adam, “EDUCATIONAL DATA MINING AND ITS USES TO PREDICT THE MOST PROSPEROUS LEARNING ENVIRONMENT” (Master's Thesis., East Carolina University, April 2018).
    AMA:
    Whitley, Lewis Adam. EDUCATIONAL DATA MINING AND ITS USES TO PREDICT THE MOST PROSPEROUS LEARNING ENVIRONMENT [Master's Thesis]. Greenville, NC: East Carolina University; April 2018.
    Collections
    • Computer Science
    • Master's Theses
    Publisher
    East Carolina University

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