BACKGROUND IN MEASURES OF METACOGNITIVE MONITORING

Abstract

Purpose. Of special importance of the current study is the observation of some theoretical and methodological aspects of the peculiarities of measures of metacognitive monitoring. In particular, we highlight some common in the psychological research approaches to the measures and discrepancies of metacognitive monitoring. We provide the description of the factors that can moderate metacognitive monitoring judgments accuracy, the reasons of its importance, the summary of three general classes of cues, and some significant studies about the measures of metacognitive monitoring. The types of outcome measures of metacognitive monitoring (such as absolute accuracy, relative accuracy, bias, scatter, and discrimination) are also analyzed. Moreover, we describe some major impacts of effective calibration on the assessment of subjective confidence.

Methods. The theoretical and comparative methods of studying metacognitive monitoring accuracy and peculiar nature of different measures of metacognitive monitoring have been taken into account. The necessity in studying such aspects of metacognitive monitoring accuracy measures has been caused by its impact on students’ learning activity.

Results. Metacognitive monitoring is an important component of metacognition, as well as of self-regulated learning. The research provides hindsight into the background of metacognitive monitoring measures. The current intention was to describe some theoretical and methodological aspects of the accuracy and discrepancies of metacognitive judgments. The learners’ ability to discriminate what is known and how it is possible to get to accurate knowledge judgments is an inevitable part of the learning process and is worthy further investigation in both psychological and educational studies.

Conclusions. The results of the theoretical analysis found in the study play a significant role in the studying of metacognitive monitoring of university students’ learning activity. The peculiarities of measures of metacognitive monitoring are an important issue for future research.