Identifying at-risk novice java programmers through the analysis of online protocols

TABANAO EMILY

Date of Award

2011

Document Type

Thesis

Degree Name

Master of Science in Computer Science

Department

Information Systems & Computer Science

Abstract

Learning to write a program is a difficult task. In this study we looked at how students made progress as they write their programs. These students, grouped as HighPerforming, Average and AtRisk performed five different programming activities in the lab f

Comments

The C7.T336 2011

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