A DATA MINING APPROACH TO DETERMINE BETTER METHODS FOR LEARNERS' ASSESSMENT IN E-LEARNING COURSES

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REZAPOUR MOHAMMAD; SEPEHRI MOHAMMAD MEHDI; REZAPOUR HASSAN

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Journal: Management Research in Iran Year:2014 | Volume:17 | Issue:4 Page(s): 139-160

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Title

A DATA MINING APPROACH TO DETERMINE BETTER METHODS FOR LEARNERS' ASSESSMENT IN E-LEARNING COURSES

Author(s)

REZAPOUR MOHAMMAD | SEPEHRI MOHAMMAD MEHDI | REZAPOUR HASSAN | Issue Writer Certificate

Keywords

DATA MININGQ2

E-LEARNINGQ1

PATTERN DISCOVERYQ2

CLUSTERINGQ1

PREDICTIONQ2

Abstract

Determining how to assess learners and contents of E-LEARNING is essential, which is conducted by a professor or teaching assistant. As a result they can determine student assessment methods, such as holding an online test or periodic homework assignment. If the organizers know the effect of each activity in the quality of learning, then besides saving considerable time and resources to stakeholders courses, they can transfer the useful content, make a realistic assessment of students and will ultimately improve E-LEARNING.In this paper, first we use unsupervised techniques of DATA MINING for CLUSTERING, describe the present status of learners, extract the hidden rules in E-LEARNING data using rule mining, and discover the effective contents in desired results. Next, using supervised methods, we predict the results of courses. Using real data of an electronic course provided and with designing four different methods for data sampling and training system, PREDICTIONs are performed and the methods are validated with an accuracy rate of 92.86%.Our findings show that the methods of this study can help teachers for a better understanding of learners and the impact of training activities required such as describing the characteristics of learners based on the discovery of hidden patterns in their acquired scores. They can also determine the most effective learning activities and decide about the real measures of learners.

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APA: Copy

REZAPOUR, MOHAMMAD, SEPEHRI, MOHAMMAD MEHDI, & REZAPOUR, HASSAN. (2014). A DATA MINING APPROACH TO DETERMINE BETTER METHODS FOR LEARNERS' ASSESSMENT IN E-LEARNING COURSES. MANAGEMENT RESEARCH IN IRAN (MODARES HUMAN SCIENCES), 17(4), 139-160. SID. https://sid.ir/paper/396929/en

Vancouver: Copy

REZAPOUR MOHAMMAD, SEPEHRI MOHAMMAD MEHDI, REZAPOUR HASSAN. A DATA MINING APPROACH TO DETERMINE BETTER METHODS FOR LEARNERS' ASSESSMENT IN E-LEARNING COURSES. MANAGEMENT RESEARCH IN IRAN (MODARES HUMAN SCIENCES)[Internet]. 2014;17(4):139-160. Available from: https://sid.ir/paper/396929/en

IEEE: Copy

MOHAMMAD REZAPOUR, MOHAMMAD MEHDI SEPEHRI, and HASSAN REZAPOUR, “A DATA MINING APPROACH TO DETERMINE BETTER METHODS FOR LEARNERS' ASSESSMENT IN E-LEARNING COURSES,” MANAGEMENT RESEARCH IN IRAN (MODARES HUMAN SCIENCES), vol. 17, no. 4, pp. 139–160, 2014, [Online]. Available: https://sid.ir/paper/396929/en

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