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Evaluating a web-based video corpus through an analysis of user interactions
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Evaluating a web-based video corpus through an analysis of user interactions
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Evaluating a web-based video corpus through an analysis of user interactions
Evaluating a web-based video corpus through an analysis of user interactions
Journal Article

Evaluating a web-based video corpus through an analysis of user interactions

2013
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Overview
As shown by several studies, successful integration of technology in language learning requires a holistic approach in order to scientifically understand what learners do when working with web-based technology (cf. Raby, 2007). Additionally, a growing body of research in computer assisted language learning (CALL) evaluation, design and development, has indicated that analysis of learners’ behaviours is an essential element to implementing high-quality technology (e.g., Chapelle, 2001; Levy & Stockwell, 2006). Hence, carefully evaluating the effectiveness of CALL by collecting empirical data on user interactions while focusing on the process of learning is integral to a holistic understanding of students’ behaviours (e.g. Felix, 2005; Hémard, 2006). This article examines a design-based research that seeks to analyse and understand the dynamics of user interactions with a specific web-based CALL tool in the context of a French as a second language (FSL) course. To this end, we present a sample of results based on an analysis of specific tasks carried out with this CALL tool that is designed in part to encourage students’ integration of critical and electronic literacies. By way of conclusion, we identify the steps that are necessary to enhance this particular CALL system and help users better achieve their learning goals. In particular, we explain the process of recycling our results in the next design phase of the CALL tool in a continuous improvement effort.