2011
DOI: 10.1016/j.compedu.2011.01.013
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Performance evaluation of an online argumentation learning assistance agent

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Cited by 25 publications
(11 citation statements)
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“…Although in some cases fairly generic, some programmes search for patterns in student work to adjust the level of difficulty in subsequent exercises according to needs (Looney, 2010). Huang et al (2011) developed an intelligent argumentation assessment system for elementary school pupils which analyses the structure of students' scientific arguments posted on a moodle discussion board and issues feedback in case of bias. In a first trial, it was shown to be effective in classifying and improving students' argumentation levels and assisting them in learning the core concepts.…”
Section: Automated Feedbackmentioning
confidence: 99%
“…Although in some cases fairly generic, some programmes search for patterns in student work to adjust the level of difficulty in subsequent exercises according to needs (Looney, 2010). Huang et al (2011) developed an intelligent argumentation assessment system for elementary school pupils which analyses the structure of students' scientific arguments posted on a moodle discussion board and issues feedback in case of bias. In a first trial, it was shown to be effective in classifying and improving students' argumentation levels and assisting them in learning the core concepts.…”
Section: Automated Feedbackmentioning
confidence: 99%
“…erduran et al (2004) present two methodological approaches that significantly extend and improve the use of Toulmin's model for tracing argumentation discourse in science classrooms. An intelligent argumentation assessment system based on machine learning techniques was eventually developed and evaluated by Huang et al (2011). The results showed that the system is able to determine the argumentation skill level based on the students' arguments while at the same time promoting students' argumentation levels.…”
Section: Engaging In Argumentation and Reasoningmentioning
confidence: 99%
“…B. Hall & Sampson, 2009;Kuhn & Reiser, 2005;National Research Council, 1996), students' abilities to construct explanations based on evidence, which are essential to engaging in scientific inquiry, is now considered critical (Huang et al, 2011;Kuhn & Reiser, 2005;Lemke, 1990;National Research Council, 1996;Schauble, Glaser, Duschl, Schulze, & John, 1995). This issue is made more urgent by the fact that many studies indicate that constructing scientific explanations is difficult for students (Kuhn & Reiser, 2005;McNeill & Krajcik, 2011;Sandoval & Millwood, 2005).…”
Section: Introductionmentioning
confidence: 97%