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The role of strategic theories in learning using computer-based representations

Aczel, James and San Diego, Jonathan (2011). The role of strategic theories in learning using computer-based representations. In: EARLI Conference 2011: Education for a Global Networked Society, 30 August - 3 September 2011, Exeter, UK.

URL: http://www.earli2011.org/nqcontent.cfm?a_id=1
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Abstract

This paper examines how learners interact with variations in representations presented in a computer environment. In particular, it explores how analysis of learning in terms of the notion of strategic theories can provide insight into learners’ cognitive processes when using such representations. The study reported here looked at problem-solving using concurrent mathematical representations (numbers, graphs, algebra). For each task, the set of representations was presented in one of three instantiations. These were: Static (non-moving, non-changing, non-interactive); Dynamic (animated, following keyboard inputs); and Interactive (directly manipulable using a mouse). A variety of data was collected from 18 participants: learners’ shifts in attention were recorded using an unobtrusive eye-tracking device and screen capture software; keyboard and mouse actions were logged automatically; utterances and gestures were video recorded; and notes and sketches were recorded in real-time. This rich data was analysed in an integrated way, with the aim of characterising learners’ strategies. The results show that participants tend to use multiple strategies over the course of task completion, and that the number and type of representation influence the strategies used. It is argued that this form of strategic analysis offers a systematic way of understanding learning journeys.

Item Type: Conference Item
Copyright Holders: The Authors
Keywords: representation; cognition; problem-solving; HCI; eye-tracking
Academic Unit/Department: Institute of Educational Technology
Interdisciplinary Research Centre: Centre for Research in Education and Educational Technology (CREET)
Related URLs:
Item ID: 32192
Depositing User: James Aczel
Date Deposited: 02 Feb 2012 14:08
Last Modified: 21 Jun 2014 05:39
URI: http://oro.open.ac.uk/id/eprint/32192
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