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A Tough Nut to Crack: Measuring Collaborative Problem Solving
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Author(s): Lei Liu (Educational Testing Service, USA), Jiangang Hao (Educational Testing Service, USA), Alina A. von Davier (Educational Testing Service, USA), Patrick Kyllonen (Educational Testing Service, USA)and Juan-Diego Zapata-Rivera (Educational Testing Service, USA)
Copyright: 2016
Pages: 16
Source title:
Handbook of Research on Technology Tools for Real-World Skill Development
Source Author(s)/Editor(s): Yigal Rosen (Harvard University, USA), Steve Ferrara (Pearson, USA)and Maryam Mosharraf (Pearson, USA)
DOI: 10.4018/978-1-4666-9441-5.ch013
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Abstract
The purpose of our project is to explore the measurement of cognitive skills in the domain of science through collaborative problem solving tasks, measure the collaborative skills, and gauge the potential feasibility of using game-like environments with avatar representation for the purposes of assessing the relevant skills. We are comparing students' performance in two conditions. In one condition, students work individually with two virtual agents in a game-like task. In the second condition, dyads of students work collaboratively with two virtual agents in the similar game-like task through a chat box. Our research is motivated by the distributed nature of cognition, extant research on computer-supported collaborative learning (CSCL) which has shown great value of collaborative activities for learning, and the framework for the Programme for International Student Assessment (PISA) framework. This chapter focuses on the development and implementation of a conceptual model to measure individuals' cognitive and social skills through collaborative activities.
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