We invited several people to make a contribution to the Special Section of LEAID onmetacognition and learning. Our aimwas to publish empirical papers that examine the role of metacognitive abilities and skills in a variety of decision-making and learning environments. Studies reporting creative uses and assessments of metacognitive constructs were particularly encouraged and the focus was suppo...

background due to the lack of enough researches on the impaired underlying mechanisms in the obsessive-compulsive disorder (ocd) and also existence of new psychological therapies such as metacognitive therapy and neurofeedback, the application of mentioned mechanisms in the new therapies can be introduced as a possible effective option with more long term effects to treat ocd. objectives the cu...

This article examines the role of cognitive, metacognitive, and motivational skills in problem solving. Cognitive skills include instructional objectives, components in a learning hierarchy, and components in information processing. Metacognitive skills include strategies for reading comprehension, writing, and mathematics. Motivational skills include motivation based on interest, self-efficacy...

We discuss metacognitive modelling as enhancement to cognitive modelling and computing. Metacognitive control mechanisms should enable AI systems to self-reflect, reason about their actions, and to adapt to new situations. In this respect, we propose implementation details of a knowledge taxonomy and an augmented data mining life cycle.

A model of situation assessment is proposed that integrates processes of recognition and metacognition. The model consists of memory structures that represent what is believed, value/action structures that represent the values placed on those beliefs, and metacognitive processes used to test, critique, and correct situation comprehension. Training implications are derived from the model, and an...

OBJECTIVE Metacognitive methodologies are used to examine the integrity of self-referential processing in healthy adults and have been implemented to study disorders of the self-concept in neurologic and psychiatric populations. However, the extent to which metacognitive evaluations assess a uniquely self-evaluative capacity that cannot be explained fully by primary cognitive functions, demogra...

This study aims to examine how students’ learning trajectories progress in an online social annotation environment, and how their cognitive processes and levels of interaction correlate with their learning outcomes. Three different types of activities (cognitive, metacognitive and social) were identified in the online environment. The time series of different levels of cognitive and metacogniti...

Recent studies on human learning reveal that self-regulated learning in a metacognitive framework is the best strategy for efficient learning. As the machine learning algorithms are inspired by the principles of human learning, one needs to incorporate the concept of metacognition to develop efficient machine learning algorithms. In this letter we present a metacognitive learning framework that...

Despite the abundance of recent publications about mind wandering (i.e., off-task thought), its interconnection with metacognition and cognitive control has not yet been examined. In the current study, we hypothesized that these three constructs would show clear interrelations. Metacognitive capacity was predicted to correlate positively with cognitive control ability, which in turn was predict...