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Title:
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A CASE STUDY FOR ANALYSIS AND PREDICTION IN LEARNING USING A PEER LEARNING SYSTEM |
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Author(s):
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Adelina Aleksieva-Petrova and Milen Petrov |
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ISBN:
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978-989-8704-44-3 |
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Editors:
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Hans Weghorn and Pedro Isaias |
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Year:
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2022 |
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Edition:
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Single |
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Keywords:
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Learning Environment, Prediction, Student Behavior, Technology-Enhanced Learning |
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Type:
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Short Paper |
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First Page:
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241 |
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Last Page:
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246 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Using data from different learning systems and tools to analyze and predict student achievements and behaviors is a method to increase learning effectiveness. In this paper, the peer learning system is presented and used to simulate analysis and prediction processes in a learning environment. The aggregation and sorting methods enforce the analysis process. The Decision Tree classification method is applied and evaluated to predict the result. |
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