By Mihai Dascălu
With the arrival and lengthening acclaim for machine Supported Collaborative studying (CSCL) and e-learning applied sciences, the necessity of automatic review andof teacher/tutor support for the 2 tightly intertwined actions of comprehension of interpreting fabrics and of collaboration between friends has grown considerably. during this context, a polyphonic version of discourse derived from Bakhtin’s paintings as a paradigm is used for interpreting either basic texts and CSCL conversations in a distinct framework concerned about diverse features of textual cohesion.
As specificity of our research, the individual learning point of view is concentrated at the identity of interpreting concepts and on offering a multi-dimensional textual complexity version, while the collaborative learning size is headquartered at the review of individuals’ involvement, in addition to on collaboration assessment.
Our strategy in accordance with complex usual Language Processing recommendations presents a qualitative estimation of the training technique and complements figuring out as a “mediator of studying” via offering automatic suggestions to either newcomers and academics or tutors. the most advantages are its flexibility, extensibility and however specificity for protecting a number of phases, ranging from examining lecture room fabrics, to discussing on particular issues in a collaborative demeanour and completing the suggestions loop through verbalizing metacognitive thoughts.
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Extra info for Analyzing Discourse and Text Complexity for Learning and Collaborating: A Cognitive Approach Based on Natural Language Processing
They monitor their reading, being able to know at every moment their level of understanding. Moreover, when faced with a difficulty, learners can call upon regulation procedures, also called reading strategies (McNamara and Magliano 2009). In this context, psychological and pedagogical research has revealed that people tend to understand better a text if they try to explain themselves what they have read (Chi et al. 1994; McNamara and Scott 1999). Starting from these observations, techniques, such as SERT (Self-Explanation Reading Training) (McNamara 2004, 2007), were developed to help students understand texts and to make the learning process more efficient and focused on comprehension.
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Analyzing Discourse and Text Complexity for Learning and Collaborating: A Cognitive Approach Based on Natural Language Processing by Mihai Dascălu