학술논문

The microgenetic analysis of staged peer collaboration for introductory programming
Document Type
Conference
Source
2016 IEEE Frontiers in Education Conference (FIE) Frontiers in Education Conference (FIE), 2016 IEEE. :1-8 Oct, 2016
Subject
Computing and Processing
Engineering Profession
Collaboration
Programming
Problem-solving
Encoding
Collaborative work
Syntactics
Java
Language
Abstract
A positive peer learning collaboration is one where each participant engages with their partner's point of view. The negotiations that result from such engagements are the key to a productive collaborative learning experience. This paper presents a framework for in-class programming exercises done by dyads of students whose activity was mediated by an online learning platform. To maximize the amount of positive collaboration that occurs, it is crucial to consider the design of the interaction. The overall structure of the interaction for the platform described in this paper follows the think-pair-share (TPS) paradigm. The focus of the design is on the pair stage, which is where the heart of the collaboration lies. A model is developed of the progress of interaction during this stage, which is used to explain the data collected from a study of dyads of students engaged in problem-solving activities for short periods of time. A microgenetic analysis shows that students actively engage in collaboration through considering, comparing, and negotiating alternate viewpoints for a given exercise.