TO THE PROBLEM OF SELF-REGULATED LEARNING IN CONDITIONS OF UNCERTAINTY
Keywords:
metacognition, metacognitive monitoring, metacognitive control, self-regulated learning, uncertaintyAbstract
The article presents a theoretical study of the problem of applying approaches of self-regulated learning in conditions of uncertainty. Self-regulated learning is a set of skills and strategies that allow learners to manage their learning process, including their thoughts, emotions, and behavior. The use of self-regulated learning practices is emphasized, as these can be particularly useful for students in situations of uncertainty and allow them to take control of their learning as well as to cope more effectively with difficult situations and achieve learning goals. Basically, the use of metacognitive and self-regulatory strategies in the educational process is an important factor in predicting successful learning outcomes in conditions of uncertainty. The analysis of the literature showed that the issue of effective organization of training and independent work of students is not only to form subject knowledge in the learning process but also to teach the ability to learn. To promote self-regulated learning in conditions of uncertainty, pedagogues can provide clear and consistent expectations and feedback on students' progress, encourage students to set their own learning goals and to reflect on their progress towards achieving them, teach students strategies for managing their emotions, provide opportunities for peer feedback, help students to identify their strengths and weaknesses and to develop strategies for addressing areas where they need to improve. By promoting self-regulated learning in these ways, teachers can help students to cope with uncertainty, and to become more effective and confident learners. The perspective of further research is in the analysis and development of a comprehensive study of approaches, principles, methods, techniques, means, and models of the formation of self-regulated learning skills in conditions of uncertainty.