Metacognition is a part of the models of self-regulated learning. The consideration of a broader context resonates with a social cognitive perspective approach to learning which dominates the educational academic field with the theory of self-regulated learning. Metacognition is considered a crucial factor influencing mathematics achievement. Furthermore, the affective field including pupils' self-efficacy, interest and motivation are the phenomena involved in mathematical problem-solving. On the other hand, metacognitive knowledge and metacognitive regulations are not a regular part of mathematics education in the Czech Republic. The main aim of this study was to investigate the relation between pupils' attitude toward mathematics; metacognitive knowledge; self-efficacy and motivation; metacognitive monitoring; and their achievement in solving mathematical problems. All together 1,133 students of Grade 5 from four types of Czech schools participated in the study. There were traditional schools; schools teaching mathematics by genetic constructivism, i.e., Hejný's method; Montessori schools; and Dalton schools were involved. The assessed variables, namely relation to mathematics; metacognitive knowledge; self-efficacy and motivation; metacognitive monitoring; and mathematical achievement were used as an input to regression analysis. Item-response theory was used for assessing the performance of the students and demands of the tasks. The metacognitive monitoring was detected as the most significant predictor of mathematics achievement for higher- and lower-performing students as well as for the item with high and low demands. The study reveals how the different mathematics curricula (un)support the metacognitive processes involved in mathematical problem-solving. The information allows teachers to spend sufficient time with particular types of mathematics problems whose solutions is determined by activation of metacognitive processes. This demonstrates the importance of including the activities for development of metacognitive monitoring in mathematics education.

School assessment is a determining factor for a pupil in all functions. The aim of the research was to determine correlation between pupils’ logical thinking and their school assessment and between pupils’ mathematics skills and their school assessment. The sample size was created by 252 high school students (117 boys and 135 girls). As research tools were used reasoning mathematical, logical thinking and mathematical skills tests. Kruskal-Wallis test was used as statistical method. A significant effect was found at the 1% significance level between these factors and school assessment, where the greatest differences are caused mainly by evaluations in mathematics that were perceived either as the best or the worst. The research also monitored the use of the newly-developed GTOLT (Group Test of Logical Thinking), which is based on the GALT (Group Assessment of Logical Thinking) and TOLT (Test of Logical Thinking) tests, rooted in standardized tools.

Higher injury rates among children is a significant post-COVID-19 phenomenon. This paper focuses on injury frequency in pre-school, as well as in younger school-age children, and maps the approaches used by families to prevent injuries and ensure child safety in the Czech Republic. The aim of the survey was to determine what types of serious injuries prevail among children, how parents or grandparents evaluate the awareness of children toward dangerous situations, and what opinions and preferences they have regarding educating their children about health and safety. The questionnaire survey among parents and grandparents (N = 278) of children from birth to the age of 12 was conducted at educational events for the wider public in 2017–2019. The survey showed that head injuries (27%) are prevalent among pre-school children; however, in children older than 5 years, injuries are due to increased outdoor activity and tend to be more associated with sports and leisure activities (fractures 31%, burns 23%). Most respondents considered their children to be more likely to recognize life-threatening risks, which is worrying in the context of the rising number of injuries in the Czech Republic in recent years.

The aim of the study was to find out the factors, which significantly affected satisfaction with distance education among university students (undergraduate students). Complete data were obtained from 1283 respondents from different faculties in Czech Republic during the second term in academic year 2021/2022. The items in research tool were Likert type and also semantic differential was used. The descriptive, inferential and multidimensional statistic were used for data evaluation. Independent variables like: Evaluation factor for full-time form; Activity factor for full-time form; Difficulty factor for combined form; Evaluation factor for combined form; Activity factor for combined form; Perception of distance learning through negatives and Perception of distance learning through positives were as significant, which influenced satisfaction with distance education. Implications for pedagogical practice are presented in the conclusion part. Keywords: multiple regression model, quantitative approach, satisfaction of distance education, university students