This study aims to identify the effect of metacognitive awareness of reading strategies on self-efficacy perception in reading comprehension of secondary school students and whether self-efficacy perception in reading comprehension of secondary school students differs according to the variables such as their gender and reading habits. In this correlational survey model study, data were collected from the sample of 380 students of 8th grade by using ‘Metacognitive Awareness of Reading Strategies Inventory’ developed by Mokhtari and Reichard and translated into Turkish by Ozturk; and ‘Self-Efficacy Scale in Reading Comprehension’ developed by Epcacan and Demirel were used. The data gathered were evaluated statistically by multivariate analysis of variance (MANOVA) with the help of the SPSS program. As the results of the study, Reading Visual Comprehension, Self-regulation in Reading and Reading Self-confidence subscale scores of self-efficacy perception in reading comprehension, were found to be statistically and significantly larger in the groups that have a tendency to finish books that they start. Moreover, Reading Visual Comprehension, Self-regulation in Reading and Reading Self-confidence subscale scores of self-efficacy perception in reading comprehension, were found to be statistically and significantly larger in the groups that have advanced level of reading habits. Additionally, RSC, SRR and RVC subscale scores of self-efficacy perception in reading comprehension, were found to be significantly different in favor of female participants. General Reading Strategies, Problem Solving Strategies and Supporting Reading Strategies subscales of metacognitive awareness of reading strategies have a positive effect on Reading Visual Comprehension, Self-regulation in Reading and Reading Self-confidence scores of the participants. In other words, metacognitive awareness of reading strategies contributes to self-efficacy perception in reading comprehension of eighth-grade students.

This study aimed to investigate whether Thai high school students’ perceived teacher support could enhance their reading ability through self-efficacy and sense of school belonging. The theoretical foundation of this study included the theory of social-motivational processes and social cognitive theory. Structural equation modeling was used for analysis and validation. The student questionnaire from the Programme for International Student Assessment (PISA) 2018 survey questions regarding teacher support, sense of school belonging, self-efficacy, and reading ability. The sample consisted of the data collected from the Thai students in the PISA2018 survey, with an effective sample size totaling 7968. The research results of the overall model showed that the perceived teacher support of Thai high school students’ had no direct effect on their reading ability, but their perceived teacher support had an indirect effect on reading ability through their self-efficacy and sense of school belonging. From the results can be seen that high school teachers in Thailand, in supporting and encouraging their students in learning, must simultaneously develop their perceived self-efficacy and sense of school belonging. Only thus can there be obvious help to their students’ reading ability.

The self-report and think-aloud approaches are the two dominant methodologies to measure metacognition. This is problematic, since they generate respondent and confirmation biases, respectively. The Meta-Performance Test is an innovative battery, which evaluates metacognition based on the respondent's performance, mitigating the aforementioned biases. The Meta-Performance Test consists of two tests, the Meta-text, which evaluates metacognition in the domain of reading comprehension, and Meta-number, in the domain of arithmetic expressions solving. The main focus of this article is to present the development of the battery, in terms of its conceptual basis, development strategies and structure. Evidence of its content validity is also presented, through the evaluation of three experts in metacognition, two experts in Spanish language, two experts in mathematics and five students who represent the target population. The results of the judges' evaluations attested to the Meta-Performance Test content validity, and the target population declared that both the battery understanding and taking are adequate. Contributions and future research perspectives of the Meta-Performance Test in the field of metacognition are discussed.

This study examined the effect of Yunnan’s ethnic minority college students’ acculturation on their academic achievement under the risk of the Matthew effect. Additionally, the role played by learning motivation in the relationship between ethnic minority college students’ acculturation and academic achievement was explored. A total of 403 valid questionnaires were collected from four areas in Yunnan province, China. Consequently, the Acculturation Scale, Academic Achievement Scale, and Learning Motivation Scale were used for measurement materials. These items of scales were evaluated on a five-point Likert scale ranging from 1 (strongly disagree) to 5 (strongly agree). SPSS (statistical package for the social sciences) and AMOS (analysis of a moment structures) softwares were used for data analyses. In addition, items were analyzed through item analysis, confirmatory factor analysis, reliability analysis and regression analysis. These results indicated that ethnic minority college students with low acculturation and learning motivation or high acculturation and low learning motivation can become objects of the Matthew effect. However, this study also observed that in certain students, high acculturation and high learning motivation can prevent the Matthew effect. Thus, high acculturation is crucial for improving academic achievement in ethnic minority college students. A level of high learning motivation is a powerful moderator promoting the academic achievement of students with high acculturation.

The field of studies in metacognition points to some limitations in the way the construct has traditionally been measured and shows a near absence of performance-based tests. The Meta-Text is a performance-based test recently created to assess components of cognition regulation: planning, monitoring, and judgment. This study presents the first evidence on the structural validity of the Meta-Text, by analyzing its dimensionality and reliability in a sample of 655 Honduran university students. Different models were tested, via item confirmatory factor analysis. The results indicated that the specific factors of planning and monitoring do not hold empirically. The bifactor model containing the general cognition regulation factor and the judgment-specific factor was evaluated as the best model (CFI = .992; NFI = .963; TLI = .991; RMSEA = .021). The reliability of the factors in this model proved to be acceptable (Ω = .701 & .699). The judgment items were well loaded only by the judgment factor, suggesting that the judgment construct may actually be another component of the metacognitive knowledge dimension but having little role in cognition regulation. The results show initial evidence on the structural validity of the Meta-Text and give rise to information previously unidentified by the field which has conceptual implications for theorizing metacognitive components.

This research analyzed the involvement of teachers, parents, and school committees in improving scientific attitudes in science learning using Rasch model analysis. A survey method was used in this quantitative study. Participants in the study were selected using a purposive sample of 174 teachers, parents, and school committees in Sleman and Kebumen Regencies, Indonesia. A questionnaire was used in data collection to determine the involvement of teachers, parents, and school committees in improving scientific attitudes toward science learning. The questionnaires were completed using a Likert scale of 1-4, and the data were then analyzed using the Rasch model. The result showed that all participants were the average logit items (+1.03 logit). The reliability was 0.89, indicating a positive response to improving students' scientific attitudes. The results of the Rasch model analysis suggested that the involvement of parents, teachers, and school committees in improving scientific attitudes differed according to their roles. Each instrument element was analyzed in more detail in the Rasch model. Participants' roles were reflected in the specific involvements of teachers in learning, parents at home with children, and school committees participating in school policy-making.

Higher education institutions around the world had to implement an emergency remote education (ERE) modality due to the COVID-19 pandemic. This study aimed to determine the individual and relational factors that affect the perception of learning in engineering, education, and health students during emergency distance education. Through a quantitative, non-experimental, and correlational study, an online survey was administered to a sample of 929 higher education students regarding their ERE experience. They were surveyed regarding their perceived learning, empathy, classroom interaction, self-regulation of learning, positive agency, student engagement, learning approaches, and use of digital resources. Data was analyzed using quantitative methods, namely correlations, comparisons of means and a linear regression analysis. Education students showed a more positive perception of learning, used a deep learning approach, and rated more positively the empathy shown by their professors and the possibilities for class participation than other students. Engineering students had the lowest scores on perceived learning and on almost all other variables. In general, students with a better perception of learning presented a higher engagement in their studies and a lower use of surface learning approach.

This study sought to examine the influence of transcription skills, evaluated using graphonomic measures, on the proficiency of text generation in students attending primary schools in Spain. A longitudinal design was employed involving 278 Spanish students distributed across three cohorts (cohort 1: 1st-2nd-4th grade; cohort 2: 2nd-3rd-5th grade; and cohort 3: 3rd-4th-6th grade). Two data collection points were used to administer the graphonomic measures, and a composition letter task was conducted at the conclusion of the study. Four multigroup structural equation models were employed, examining the direct pathways from graphonomic measures (i.e., pressure, speed, pauses, and road length) on text generation (i.e., length, fluency, planning, revision, and organization). The models demonstrated a good fit to the data. The findings from the four models, analyzed within the three cohorts, indicated that the significant effect of transcription (i.e., handwriting) on text production was primarily observed in Cohort 1 (early grades), while no significant effects were found in Cohort 2 (intermediate grades). This suggests that the importance of handwriting in text production in a transparent orthography may be more pronounced during the initial stages of writing development when students are acquiring foundational writing skills.

Mathematical modeling offers a promising approach to improving mathematics education. This study aims to determine if the concept of metacognitive awareness in the learning process is associated with mathematical modeling. This study also considers the interaction effect of sex and academic year level on both variables. Focusing the study on preservice elementary teachers might address potential issues and targeted intervention in their preparation program concerning their ability to teach and guide young learners in modeling activities. The research sample includes 140 preservice elementary teachers at Central Luzon State University, Philippines. Data collection used an adapted metacognitive awareness inventory and a validated researcher-made mathematical modeling competency test aligned with the K-12 mathematics curriculum in the Philippines. Results revealed that the preservice elementary teachers had a high metacognitive awareness and mathematical modeling competency, ranging from 22 to 31 out of 36 points. Besides, Factorial ANOVA indicates that academic year level positively affects both variables regardless of sex, and stepwise regression analysis unveiled that information management, declarative knowledge, and planning significantly predict 41.4% of the mathematical modeling competency variance. This suggests that developing metacognitive awareness supports preservice elementary teachers in performing modeling tasks that improve their competency level in mathematics.