The paper addresses issues related to the accuracy of metacognitive monitoring and the effectiveness of control. Based on the enriched model of metacognition (Efklides, 2008), the facets and levels of functioning of metacognition are presented as well as the processes underlying each facet at the various levels of metacognition. Review of current research on monitoring (i.e., metacognitive expe...

BACKGROUND Distortions in metacognition-the ability to reflect on and control other cognitive processes-are thought to be characteristic of poor mental health. However, it remains unknown whether such shifts in self-evaluation are due to specific alterations in metacognition and/or a downstream consequence of changes in decision-making processes. METHODS Using perceptual decision making as a ...

— Metacognition is associated with planning, monitoring, evaluating and repairing performance Designers of elearning systems can improve the quality of their environments by explicitly structuring the visual and interactive display of learning contexts to facilitate metacognition. Typically page layout, navigational appearance, visual and interactivity design are not viewed as major factors in ...

While it has been documented that persons with prolonged schizophrenia have deficits in metacognition and social cognition, it is less clear whether these difficulties are already present during a first episode. To explore this issue we assessed and compared metacognition using the Metacognition Assessment Scale-Abbreviated (MAS-A) and social cognition using the Eyes, Hinting and Bell-Lysaker E...

Humans have a remarkable ability to reflect upon their behavior and mental processes, a capacity known as metacognition. Recent neurophysiological experiments have attempted to elucidate the neural correlates of metacognition in other species. Despite this increased attention, there is still no operational definition of metacognition and the ability of behavioral tasks to reflect metacognition ...

Metacognition, motivation, and affect are components of self-regulated learning (SRL) that interact. The “metacognitive and affective model of self-regulated learning” (theMASRLmodel) distinguishes two levels of functioning in SRL, namely, the Person level and the Task× Person level. At the Person level interactions between trait-like characteristics such as cognitive ability, metacognitive kno...

An approach in modeling collaborative and metacognitive data is presented in this paper. The proposed scheme, namely Collaboration/ Metacognition–Adaptive Network-based Fuzzy Inference System (C/M-ANFIS), uses neurofuzzy structure to adaptively infer on the relation between the above data in a meaningful way. More specifically, the collaborative and metacognitive data refer to the participant’s...

When experiences become meaningful to the self, they are linked to synchronous activity in a paralimbic network of self-awareness and dopaminergic activity. This network includes medial prefrontal and medial parietal/posterior cingulate cortices, where transcranial magnetic stimulation may transiently impair self-awareness. Conversely, we hypothesize that dopaminergic stimulation may improve se...

Every time people think about what they said (e.g., Was I tactful?), check something they did (e.g., Did I get the correct change?), or decide whether they have finished a task (e.g., Is this note to my daughter clear enough?), they are engaging in metacognition, or thinking about thinking. Metacognition is very important for reading comprehension. This chapter focuses on understanding the role...

Confidence judgments are a central example of metacognition-knowledge about one's own cognitive processes. According to this metacognitive view, confidence reports are generated by a second-order monitoring process based on the quality of internal representations about beliefs. Although neural correlates of decision confidence have been recently identified in humans and other animals, it is not...