Overview
- Presents an integrated approach for assessing textual complexity, learning strategies as well as learners collaborative contributions
- Introduces a model that provides automated feedback to both learners and teachers thus increasing understanding by acting as a "mediator of learning"
- Implements the polyphonic model starting from Bakhtin's dialogism through the use of cohesive links within the discourse
- Interdisciplinary research on e-learning including aspects of informatics, cognitive psychology, educational sciences and philosophy
Part of the book series: Studies in Computational Intelligence (SCI, volume 534)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (11 chapters)
-
Theoretical Aspects
-
Empirical Studies
Keywords
- Automatic Assessment of Teacher and Tutor Support
- Bakhtin’s Dialogism and Polyphony
- Chats in Social Cognition
- Collaborative and Individual Learning
- Computational Discourse Analysis
- Computer Supported Collaborative Learning (CSCL)
- NLP for Learning
- Personal and Social Knowledge Building Process
- Textual Complexity
- learning and instruction
- complexity
About this book
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.
Authors and Affiliations
About the author
Bibliographic Information
Book Title: Analyzing Discourse and Text Complexity for Learning and Collaborating
Book Subtitle: A Cognitive Approach Based on Natural Language Processing
Authors: Mihai Dascălu
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-319-03419-5
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2014
Hardcover ISBN: 978-3-319-03418-8Published: 10 December 2013
Softcover ISBN: 978-3-319-35323-4Published: 27 August 2016
eBook ISBN: 978-3-319-03419-5Published: 26 November 2013
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XIV, 279
Number of Illustrations: 71 b/w illustrations, 4 illustrations in colour
Topics: Computational Intelligence, Natural Language Processing (NLP), Learning & Instruction, Complexity, Philosophy of Language