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Automated analysis of argumentative discourse for diagnostic learning analytics

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Description

The article identifies automated analysis techniques for detecting learners' internal argumentative scripts during CABLe. "Scheuer et al. ( 2012) classified available automated analysis techniques to this effect into four categories, namely syntactical anal ysis, problem-specifi c analysis, reasoning analysis, and collaborative filtering analysis." Named educational technologies using AI and language content analysis to analyze student argumentation moves and structures include ARGUNAUT, TagHelper, Rashi, Belvédère, and LARGO; NLP has also been used to code micro-argumentation prior to a learning phase.

Accounts

  • Automated analysis techniques and tools for diagnosing argumentation during discourse: The article identifies automated analysis techniques for detecting learners' internal argumentative scripts during CABLe. "Scheuer et al. ( 2012) classified available automated analysis techniques to this effect into four categories, namely syntactical anal ysis, problem-specifi c analysis, reasoning analysis, and collaborative filtering analysis." Named educational technologies using AI and language content analysis to analyze student argumentation moves and structures include ARGUNAUT, TagHelper, Rashi, Belvédère, and LARGO; NLP has also been used to code micro-argumentation prior to a learning phase. (Noroozi et al. (2018))

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Key Sources

  • Noroozi, O., Kirschner, P. A., Biemans, H. J. A., & Mulder, M. (2018). Promoting Argumentation Competence: Extending from First- to Second-Order Scaffolding Through Adaptive Fading. Educational Psychol Rev, 30, 153–176. https://doi.org/10.1007/s10648-017-9400-z
Page metadata
Field Value
type research-method
id automated-analysis-of-argumentative-discourse-for-diagnostic-learning-analytics
title Automated analysis of argumentative discourse for diagnostic learning analytics
description The article identifies automated analysis techniques for detecting learners' internal argumentative scripts during CABLe.
status review
generated by process:settle-candidates on 2026-10-22
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