act intelligently is to endow them with the ability to understand the behaviors of other agents (human or artificial) in their environment. Intelligent tutoring systems (ITSs) are the ultimate example of this challenge: their goal is to provide instruction personalized to the specific needs of each learner, as good human tutors do. But understanding these needs can be extremely hard, because it...

Research states that metacognitive monitoring and control are important skills for successful problem solving (e.g., Artzt & Armour-Thomas 1992; Carr & Jessup, 1997; Hmelo & Cote, 1996; Tobias & Everson, 1995). In particular, research has demonstrated that certain self-regulatory and metacognitive skills predict problem solving success as well as or better than traditional predictors of general...

Metacognition and self-regulation are important components for developing effective learning in the classroom and beyond, but novice learners often lack these skills. Betty’s Brain, an open-ended computer-based learning environment, helps students develop metacognitive strategies as they learn science topics. In order to better understand and improve the effect of adaptive scaffolding on studen...

This paper investigates the role of specific and general metacognitive ability on specific and general academic achievement, controlling for the effects of intelligence. Four hypotheses were elaborated and empirically tested through structural equation modelling. The sample was composed by 684 students (6th to 12th graders) from a private Brazilian school, which answered to three intelligence t...

aims: metacognition deals with active monitoring and adjusting the results and cognitive processes to gain the purpose. academic self-efficacy is dependent on students’ perception of learning and is an important factor in the success of students reasoning. this study aimed to determine the effectiveness of metacognitive skills training on metacognitive awareness, self-efficacy and academic achi...

Learners that have better metacognition acquire knowledge faster than others who do not. If we had better models of such learning, we would be able to build a better metacognitive educational system. In this paper, we propose a computational model that uses a probabilistic context free grammar induction algorithm yielding metacognitive learning by acquiring deep features to assist future learni...

The assessment of learners metacognitive knowledge level is crucial when developing computer-assisted language learning systems. Currently, many systems assess learners metacognitive knowledge level with pre-instructional questionnaires or metacognitive interviews. However, learners with limited language proficiency may be at a disadvantage in responding to verbal-report interview or questionna...

The study is based on the use of a flexible learning framework to help students improve information processes underlying strategy instruction in EFL listening. By exploiting the online videotext self-dictation-generation (video-SDG) learning activity implemented on the YouTube caption manager platform, the learning cycle was emphasized to promote metacognitive listening development. Two theorie...

normal 0 false false false en-us x-none ar-sa microsoftinternetexplorer4 aim : the aim of this study was to compare the long-term effects of cognitive-behavioral treatment and mindfulness-based treatment on decreasing symptoms of patients suffering from irritable bowel syndrome (ibs). background : one of the most modern therapies put forward in therapy of ibs is mindfulness-based metacognitive ...

Metacognitive impairment is crucial to explaining difficulties in life tasks of patients with personality disorders (PDs). However, several issues remain open. There is a lack of evidence that metacognitive impairments are more severe in patients with PDs. The relationship between severity of PD pathology and the extent of metacognitive impairment has not been explored, and there has not been a...