c عنوان انگلیسی مقاله:

Educational Data Mining and its role in Educational Field

ترجمه عنوان مقاله: داده کاوی آموزشی و نقش آن در عرصه آموزشی

رشته: مدیریت دانش

سال انتشار: 2014

تعداد صفحات مقاله انگلیسی: 4 صفحه

منبع: International Paper

نوع فایل: pdf

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چکیده مقاله

Data mining is about explaining the past and predicting the future by means of data analysis. Educational Data Mining is a promising discipline which has an imperative impact on predicting students’ academic performance. Thousands of students take admissions in Universities and colleges every year, at the time of admissions they collect the students’ data. In the same way while the Teachers join in the institution they collect their personal and professional data. Understand the importance of data is essential from a business point of view. Data collected at the time of admission can be used for classifying and predicting students’ behavior and performance as well as teachers’ performance. Therefore, in this paper, we are examining the role of  Data mining in an Educational Field. By using SDAR, we have identified possible grade values i.e., Excellent, Good, Average and Poor or Fail. We have used K-means clustering algorithm to find the best cluster center for attributes like attendance, Sessional marks and assignment marks etc. We have also discussed a Rule-Based Classification (RBC) method; it extracts a set of rules that shows relationships between attributes of the data set and the class label. In this paper we have also addressed the evaluation of Teachers’ performance by using data mining techniques at University and College level.

Keywords: EDM, SDAR, K-Means Clustering, RBC, Student Feedback.

مقدمه مقاله

The process of analyzing data from different perspectives and summarizing it into important information so as to identify hidden patterns from a large data set is called Data Mining. Educational Data Mining (EDM) is an application of Data Mining and statistics to information generated from educational settings like Universities and Colleges [1]. In fact, EDM refers to techniques and tools designed for automatically extracting meaning from large repositories of data generated by peoples learning activities in educational settings. Data Mining can also be defined as a multidisciplinary field which combines artificial Intelligence statistics and database technology [3]. The relationship between data mining, data base and AI & machine learning is shown in figure 1.