Intelligent Tutoring Systems are often modeled after human tutors; however, the effectiveness of this strategy is yet to be determined. Research on media interactions suggests that behaviors with humans are similar to those with computers. Intelligent Tutoring System studies have said the opposite. In this study we compared a human-human and a humancomputer tutoring system in terms of metacogni...

This study reports an investigation of Iranian test-takers’ use of cognitive and metacognitive strategies while performing on IELTS reading tests. Specifically, the study set out to investigate: a) the relationship between Iranian test-takers’ use of cognitive and metacognitive strategies and their L2 reading test performance on the reading section of the IELTS test; and b) the role gender migh...

Recent research has documented numerous, apparently irrational influences on consumer judgment and choice, from the influence of temporary moods and metacognitive experiences to the role of “feeling right” about a decision strategy. From the metatheoretical perspective of situated cognition, such findings reflect the pragmatic, situated, and embodied nature of human cognition, which usually ser...

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...

Neurodevelopmental evidence suggests that children's main decision-making strategy is to avoid options likely to induce punishment. However, the cognitive and affective factors contributing to children's avoidance to high punishment frequency remain unknown. The present study explored psychophysiological, cognitive, and metacognitive processes associated with sensitivity to punishment frequency...

This study focused primarily on an investigation of how four reading strategies training (cognitive, metacognitive, compensation, and testing strategies) affect the development of Taiwanese EFL learners’ reading comprehension. Specifically, this study aimed to identify different reading strategy uses among good and poor readers. One hundred and ten seniors (27 males and 83 females) majoring in ...

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...