LSA-based Cognitive Models
This event took place on Wednesday 01 December 2010 at 11:30
Sonia Mandin Université Pierre-Mendès-France
This seminar concerns the design of technology enhanced learning environments to improve their learning through reading and writing activities. So far, We have tested (1) The effect of informative feedback on the computerized note-taking from an online course with students, (2) The effect of feedback on the production of a summary or a synthesis on the control of these activities and the understanding of the documents read and researches from students about the European project LTfLL.
Among these various studies, the most important research concerns the summary activity, an activity that allows learners to train their understanding and to assess it.
A large part of the work presented in this seminar relates to the computational modeling of cognitive processes used in understanding and writing activities. These models allow us to better understand the learner. They are based on latent semantic analysis and are used for predictive purposes in the systems designed.
More generally, with an original approach based on theories borrowed from different fields (psychological, educational, computer), we are trying to answer the question: how to assist learners to improve their reading comprehension and written production?
(Due to a combination of factors including a change of venue we were unable to record this event, we apologise to those who were otherwise unable to attend this event in person)
This event took place on Wednesday 01 December 2010 at 11:30
This seminar concerns the design of technology enhanced learning environments to improve their learning through reading and writing activities. So far, We have tested (1) The effect of informative feedback on the computerized note-taking from an online course with students, (2) The effect of feedback on the production of a summary or a synthesis on the control of these activities and the understanding of the documents read and researches from students about the European project LTfLL.
Among these various studies, the most important research concerns the summary activity, an activity that allows learners to train their understanding and to assess it.
A large part of the work presented in this seminar relates to the computational modeling of cognitive processes used in understanding and writing activities. These models allow us to better understand the learner. They are based on latent semantic analysis and are used for predictive purposes in the systems designed.
More generally, with an original approach based on theories borrowed from different fields (psychological, educational, computer), we are trying to answer the question: how to assist learners to improve their reading comprehension and written production?
(Due to a combination of factors including a change of venue we were unable to record this event, we apologise to those who were otherwise unable to attend this event in person)
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Our research in the Semantic Web area looks at the potentials of fusing together advances in a range of disciplines, and applying them in a systemic way to simplify the development of intelligent, knowledge-based web services and to facilitate human access and use of knowledge available on the web. For instance, we are exploring ways in which tnatural language interfaces can be used to facilitate access to data distributed over different repositories. We are also developing infrastructures to support rapid development and deployment of semantic web services, which can be used to create web applications on-the-fly. We are also investigating ways in which semantic technology can support learning on the web, through a combination of knowledge representation support, pedagogical theories and intelligent content aggregation mechanisms. Finally, we are also investigating the Semantic Web itself as a domain of analysis and performing large scale empirical studies to uncover data about the concrete epistemologies which can be found on the Semantic Web. This exciting new area of research gives us concrete insights on the different conceptualizations that are present on the Semantic Web by giving us the possibility to discover which are the most common viewpoints, which viewpoints are mutually inconsistent, to what extent different models agree or disagree, etc...
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