Analyzing Discourse and Text Complexity for Learning and Collaborating: A Cognitive Approach Based on Natural Language Processing

Mihai Dascălu

Nov 2013 · Studies in Computational Intelligence Book 534 · Springer

About this ebook

With the advent and increasing popularity of Computer Supported Collaborative Learning (CSCL) and e-learning technologies, the need of automatic assessment and of teacher/tutor support for the two tightly intertwined activities of comprehension of reading materials and of collaboration among peers has grown significantly. In this context, a polyphonic model of discourse derived from Bakhtin’s work as a paradigm is used for analyzing both general texts and CSCL conversations in a unique framework focused on different facets of textual cohesion.

As specificity of our analysis, the individual learning perspective is focused on the identification of reading strategies and on providing a multi-dimensional textual complexity model, whereas the collaborative learning dimension is centered on the evaluation of participants’ involvement, as well as on collaboration assessment.

Our approach based on advanced Natural Language Processing techniques provides a qualitative estimation of the learning process and enhances understanding as a “mediator of learning” by providing automated feedback to both learners and teachers or tutors. The main benefits are its flexibility, extensibility and nevertheless specificity for covering multiple stages, starting from reading classroom materials, to discussing on specific topics in a collaborative manner and finishing the feedback loop by verbalizing metacognitive thoughts.

About the author

This book presents the first integrated approach to design, implement and test a computer-based system for assessing textual complexity, learning strategies as well as learner collaborative contributions. The proposed approach, based on the most advanced natural language processing techniques, aims to provide a qualitative estimation of the learning process that considers both the individual and the collaborative aspects of learning. The work is highly interdisciplinary and integrates computer science, cognitive science, linguistics (mainly NLP) and educational research. The book includes both new theories and their experimental validation.