Training or reflective practice for language teachers on textchat: Benefits of using interactional analysis tools on structured corpus

Document non publié. La conférence TALC (Teaching And Language Corpora Conference) aura lieu le 11 juillet 2012. Dès la conférence passée, je ferai la mise à jour.International audienceA LETEC (LEarning and TEaching Corpus) corpus assembles in a structured way data which reflects the activity of participants during the online course (learners, teachers, natives, etc.) and also the pedagogical settings (such as the learning design), and, wherever applicable, the research protocol (design and output such as questionnaires, interviews, etc.). We would like to present one possible application of LETEC to teacher education with a focus on a specific communication tool, namely textchat. We analysed textchat sessions with the freeware Tatiana designed by researchers from the CSCL (Computer Supported Collaborative Learning) community (Dyke et al., 2009). We will first show the characteristics of the structured corpus by comparing it to its original corpus in text format. Then we will explain the procedure we followed to use the structured corpus in association with the target trace analysis tool. Through quantitative and qualitative analyses, we will exemplify certain interactional features of the corpus. This study will describe how foreign language teachers who are interested in text chat activities may use trace analysis software to analyze and then build upon their own activities in order to foster the learner interactions using chat tools

Productive re-use of CSCL data and analytic tools to provide a new perspective on group cohesion

The goals of this paper are twofold: (1) to demonstrate how previously published data can be re-analyzed to gain a new perspective on CSCL dynamics and (2) to propose a new measure of social cohesion that was developed through improvements to existing analytic tools. In this study, we downloaded the Simuligne corpus from the publicly available Mulce repository. We improved the Knowledge Space Visualizer (KSV) to deepen the notion of cohesion by using a dynamic representation of sociograms. The Calico tools have been used and extended to complete this cohesion measure by analyzing lexical markers. These complementary analyses of cohesion, based on clique sizes and communication intensity on the one hand, and lexical markers on the other hand, offer more detailed information on (a) the relationships between participants and (b) the structure and intensity of communication. In particular, the analyses highlight strong convergences that were not visible in the previous analysis

Building and Analyzing a Corpus of Contextualized Traces Collected during a Technology Enhanced Teaching Module

International audience—Sharing and analyzing data collected within Technology Enhanced Learning environments is an interesting issue for researchers to validate their models and systems. In this paper we present a corpus we built and analyzed in order to validate our proposed " Proxy approach " as an approach for sharing and analyzing learning data corpora

Multimodal learning and teaching corpora exchange: Lessons learned in five years by the Mulce project

In order to make replication possible for interaction analysis in online learning, the French project named Mulce (2007-2010) and its team worked on requirements for research data to be shareable. We defined a learning and teaching corpus (LETEC) as a package containing the data issued from an online course, the contextual information and metadata, necessary to make these data visible, shareable and reusable. These human, technical and ethical requirements are presented in this paper. We briefly present the structure of a corpus and the repository we developed to share these corpora. Related works are also described and we show how conditions evolved between 2006 and 2011. This leads us to report on how the Mulce project was faced with four particular challenges and to suggest acceptable solutions for computer scientists and researchers in the humanities: both concerned by data sharing in the Technology Enhanced Learning community

Sharing corpora and tools to improve interaction analysis

Abstract. A very wide range of online interaction analysis staying in the hands of researchers, and tools being implemented in research prototypes, often used only in non-replicated experimentations, we point out the need for TEL research community to reach large scale validation for its results. This paper is a concrete step in this direction. For a deeper collaboration in our community, we suggest to share structured data collections. The Mulce project aims at proposing a structure for teaching and learning corpora (including pedagogical and research context), and especially for interaction tracks. Two main corpora are built according this structure. This paper defines a teaching and learning corpus, shows its main structure and browses some parts of the structured interaction data. We also describe the platform that enables the community to browse and analyze a shared corpus