Title

Detecting confusion among novice programmers using Bluej compile logs

Date of Award

2011

Document Type

Thesis

Degree Name

Master of Science in Computer Science, Straight

Department

Information Systems & Computer Science

Abstract

This study aimed to detect confusion by analyzing collected compile logs from the BlueJ environment. By manually labeling some clips from the compile logs, there might be patterns that can be indicative of confusion. The decision tree algorithm was used t

Comments

The C7.L43 2011

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