Perceived teacher support, self-concept, enjoyment and achievement in reading: A multilevel mediation model based on PISA 2018

Identifying key factors of reading achievement: A machine learning approach

This article explored the influencing factors of digital reading achievement based on the PISA 2018 assessment of students' reading achievement. An integrated Random Effect-Expectation Maximization (RE-EM) regression tree model was the first constructed to address the shortcomings of traditional machine learning methods for nested data estimation and the limitations of traditional linear models in handling complex data. Our study identified the key variables for the feature selection in the integrated RE-EM regression tree model include various aspects of Meta-cognition, as well as the affective element of Joy/Liking for Reading. Notably, this study found that Meta-cognition: Assess Credibility exhibits a ceiling effect on reading achievement, where the marginal effect on reading achievement significantly diminishes at the higher variable values. Additionally, Meta-cognition: Summarizing and Joy/Liking for Reading both demonstrate an approximately S-shaped curve influence on reading achievement. These findings were discussed in critical theoretical and policy implications.

Parental emotional support, self-efficacy, and mental health problems among adolescents in Hong Kong: a moderated mediation approach

Introduction

Early signs of mental health issues may develop into severe mental illnesses over time. The influence of parental emotional support on adolescent mental health problems is well acknowledged. However, prior research has predominantly focused on psychological symptoms, often neglecting the somatic symptoms associated with mental health. Additionally, there has been insufficient exploration of the mediating role of self-efficacy and the relationship between socioeconomic status (SES) and adolescent mental health, particularly within the context of Hong Kong.

Methods

Using data from 3,613 adolescents aged 15 years from 109 schools in Hong Kong who participated in the Programme for International Student Assessment 2018, this study explored the relationship between parental emotional support and two dimensions of adolescent mental health symptoms (psychological and somatic symptoms), and the mediating effect of self-efficacy and the moderating role of SES.

Results

We found that parental emotional support significantly reduced psychological and somatic symptoms, primarily by enhancing self-efficacy. MoreovSES moderated these relationships, with the impact of parental emotional support on psychological symptoms being more pronounced among adolescents from lower SES backgrounds.

Discussion

This study deepens the understanding of the mechanisms underlying adolescent mental health in Hong Kong. By highlighting the importance of parental emotional support and self-efficacy, as well as the moderating effect of SES, the findings offer valuable insights for effective interventions aimed at improving adolescent mental health.

Applying Machine Learning and SHAP Method to Identify Key Influences on Middle-School Students' Mathematics Literacy Performance

The PISA 2022 literacy assessment highlights a significant decline in math performance among most OECD countries, with the magnitude of this decline being approximately three times that of the previous round. Remarkably, Hong Kong, Macao, Taipei, Singapore, Japan, and Korea ranked in the top six among all participating countries or economies, with Taipei, Singapore, Japan, and Korea also demonstrating improved performance. Given the widespread concern about the factors influencing secondary-school students' mathematical literacy, this paper adopts machine learning and the SHapley Additive exPlanations (SHAP) method to analyze 34,968 samples and 151 features from six East Asian education systems within the PISA 2022 dataset, aiming to pinpoint the crucial factors that affect middle-school students' mathematical literacy. First, the XGBoost model has the highest prediction accuracy for math literacy performance. Second, 15 variables were identified as significant predictors of mathematical literacy across the student population, particularly variables such as mathematics self-efficacy (MATHEFF) and expected occupational status (BSMJ). Third, mathematics self-efficacy was determined to be the most influential factor. Fourth, the factors influencing mathematical literacy vary among individual students, including the key influencing factors, the direction (positive or negative) of their impact, and the extent of this influence. Finally, based on our findings, four recommendations are proffered to enhance the mathematical literacy performance of secondary-school students.

The effect of instructional quality on reading achievement: The mediating role of reading engagement in China (B-S-J-Z) and the UK

The present study aims to explore the mediating role of reading engagement between instructional quality and reading achievement in China (B-S-J-Z) and the UK, and the pedagogical transportation that has been implemented between China and the UK since 2014. Participants in this study were from PISA 2018 where 12,058 students were from China (B-S-J-Z) and 13,818 were from the UK. Structural equation modeling (SEM) was used to explore the relationships among instructional quality, reading engagement, and reading achievement. The effect of classroom management and cognitive activation on reading achievement was significantly mediated by enjoyment of reading in both China (B-S-J-Z) and the UK. Diversity of reading was found to positively mediate the relationships between classroom management and reading achievement, and between cognitive activation and reading achievement in China (B-S-J-Z), in contrast to the mediating role of reading strategy revealed in the UK. The findings have important implications in that educators from China (B-S-J-Z) and the UK should focus on improving students' reading interests, UK teachers may incorporate diverse sources in reading, and Chinese educators may try different reading teaching strategies. Meanwhile, educators and policymakers may give full consideration to implications based on the specific cultural background. Finally, the limitations and future directions are provided.

Are General Anxiety, Reading Anxiety, and Reading Self-Concept Linked to Reading Skills Among Chinese Adolescents With and Without Dyslexia?

This study investigated the cross-sectional relationships between reading-related affective and cognitive factors and reading skills among adolescents with and without dyslexia. Participants were 120 Chinese-speaking eighth graders, including 60 adolescents with dyslexia and 60 typically developing adolescents from Hong Kong, China. Adolescents completed questionnaires on general anxiety, reading anxiety, and reading self-concept. They were also assessed on measures of rapid digit naming, verbal working memory, word reading, reading fluency, and reading comprehension. The results showed that readers with dyslexia reported higher levels of general anxiety and reading anxiety and lower levels of reading self-concept than typical readers. They also showed difficulties in rapid digit naming and verbal working memory. Importantly, controlling for rapid digit naming and verbal working memory, reading self-concept was uniquely associated with word reading and reading fluency for readers with and without dyslexia. Furthermore, reading anxiety and reading self-concept were uniquely associated with reading comprehension for the two groups of readers. The findings point to the importance of considering affective factors when examining the reading skills of Chinese readers and the utility of targeting these factors when supporting the learning of adolescents with and without dyslexia.

Math attitudes and math anxiety predict students' perception of teacher support in primary school, but not vice versa

BACKGROUND

Both teacher support and math attitudes have been identified as associated with math anxiety in primary school children. However, little is known about how they are interrelated longitudinally.

AIMS

The study was designed to examine the associations among perceived teacher support, math attitudes, and math anxiety in Chinese primary school students.

SAMPLE

The sample included 1802 students (56.16% boys) initially in the third and fourth grades in two public schools in China.

METHODS

A three-year cross-lagged panel design was conducted to examine the associations among perceived teacher support, math attitudes, and math anxiety. Moreover, a multigroup analysis was used to examine whether the associations varied by gender.

RESULTS

There were reciprocal associations over time between math attitudes and math anxiety. Meanwhile, both math attitudes and math anxiety significantly predicted perceived teacher support one year later, but not vice versa. Further, the association between T1 math anxiety and T3 perceived teacher support was mediated by T2 math attitudes; the association between T1 math attitudes and T3 perceived teacher support, on the other hand, was mediated by T2 math anxiety. Moreover, there were no significant gender differences in these associations.

CONCLUSIONS

Math anxiety and math attitudes objectively affected each other, and both of them significantly predicted later perceived teacher support, but not vice versa. This study demonstrates that children are not merely passive recipients of environmental influences and offers theoretical guidance for intervention practices that aim to reduce the risk of math anxiety.

The impact of self-directed learning experience and course experience on learning satisfaction of university students in blended learning environments: the mediating role of deep and surface learning approach

Introduction

With the rapid development of technology and the evolution of educational ideas, the blended learning model has become the new norm in higher education. Therefore, based on Biggs' learning process theory, this study aims to investigate the relationships between learning experience, learning approaches, and learning satisfaction of university students within the Chinese blended learning context to explore the dynamic process and mechanism of blended learning.

Methods

The Chinese modified versions of the Self-Rating Scale of Self-Directed Learning, the Course Experience Questionnaire, and the Revised Study Process Questionnaire were administered to 939 Chinese university first-grade students (444 men, 495 women). The data were analyzed by using the covariance-based structural equation modeling (CB-SEM) technique.

Results

The results demonstrated that, among Chinese university students, there were significant correlations between the self-directed learning experience, the course experience, the deep learning approach, the surface learning approach, and learning satisfaction. Additionally, the learning approaches mediated the association between the self-directed learning experience and learning satisfaction and between the course experience and learning satisfaction.

Conclusion

This study provides insight into the facilitative effect of university students' self-directed learning experience and course experience on their learning satisfaction and how this effect is triggered through the mediating role of different learning approaches with the blended learning context. This study shows the learning behaviors and psychology in a blended learning environment, thus revealing the new learning characteristics of university students by integrating the self-learning characteristics of blended learning into the framework of learning process theory. The findings contribute to assisting blended learning providers in delivering targeted interventions to enhance students' learning satisfaction.

Students' 2018 PISA reading self-concept: Identifying predictors and examining model generalizability for emergent bilinguals

Decades of research have indicated that reading self-concept is an important predictor of reading achievement. During this period, the population of emergent bilinguals has continued to increase within United States' schools. However, the existing literature has tended to examine native English speakers' and emergent bilinguals' reading self-concept in the aggregate, thereby potentially obfuscating the unique pathways through which reading self-concept predicts reading achievement. Furthermore, due to the overreliance of native English speakers in samples relating to theory development, researchers attempting to examine predictors of reading achievement may a priori select variables that are more aligned with native English speakers' experiences. To address this issue, we adopted Elastic Net, which is a theoretically agnostic methodology and machine learning approach to variable selection to identify the proximal and distal predictors of reading self-concept for the entire population; in our study, participants from the United States who participated in PISA 2018 served as the baseline group to determine significant predictors of reading self-concept with the intent of identifying potential new directions for future researchers. Based on Elastic Net analysis, 20 variables at the student level, three variables at the teacher level, and 12 variables at the school level were identified as the most salient predictors of reading self-concept. We then utilized a multilevel modeling approach to test model generalizability of the identified predictors of reading self-concept for emergent bilinguals and native English speakers. We disaggregated and compared findings for both emergent bilinguals and native English speakers. Our results indicate that although some predictors were important for both groups (e.g., perceived information and communications technologies competence), other predictors were not (e.g., competitiveness). Suggestions for future directions and implications of the present study are examined.

Mediation of self-concept and moderation of teacher support between SES and reading achievement: Evidence from China and the United States

BACKGROUND

Socioeconomic status (SES) is important in students' reading development. The mechanism of how they are linked, however, is underexplored.

AIMS

This research aimed to explore whether reading self-concept mediates the link between SES and reading achievement and whether teacher support moderates the direct and indirect link between SES and reading achievement.

SAMPLES

Using PISA 2018 database, we selected 17,346 15-year-olds from 537 schools in B-S-J-Z (China) and the United States (U.S.).

METHODS

Multilevel linear models were calculated to explore the potential mediation of self-concept and the potential moderation of teacher support between SES and reading achievement.

RESULTS

Results reveal that reading self-concept mediated the link between SES and reading achievement at student level both in China and the United States, and teacher support moderated the link between SES and reading self-concept both at student level and school level only in China, but not in the United States.

CONCLUSION

Our research highlights the importance of self-concept and teacher support in improving students' reading achievement, especially for students of low SES, which has important theoretical significance and practical enlightenment for reading instruction.

Intergenerational Transmission of Psychological Flexibility: The Mediating Role of Parenting Style and the Moderating Role of Teacher Support

In this study, parents' psychological flexibility scale, children's psychological flexibility scale, parenting style scale and teacher support scale were used to explore the intergenerational transmission mechanism of psychological flexibility. The results showed that: (1) parents' psychological flexibility significantly predicted children's psychological flexibility; (2) authoritative parenting style and authoritarian parenting style partially mediated the relationship between parents' psychological flexibility and children's psychological flexibility; (3) Teacher support not only moderated the effect of authoritative and authoritarian parenting on children's psychological flexibility, but also moderated the mediating effect of authoritative and authoritarian parenting style between parents' psychological flexibility and children's psychological flexibility.

Analysis of Factors Affecting Academic Performance of Mathematics Education Doctoral Students: A Structural Equation Modeling Approach

Student academic performance is an important indicator of doctoral education quality, but limited research has focused on how multiple influential factors of doctoral students' academic performance work together. This study aims to explore the factors significantly affecting the academic performance of mathematics education doctoral students in Indonesia. Several factors were recognized from prior studies, such as the fear of delay, student engagement, parental support, teacher support, facilitating conditions, stress level, and well-being. An online questionnaire was designed and answered by a total of 147 mathematics education doctoral students. The partial least squares structural equation modeling (PLS-SEM) approach was adopted to analyze the questionnaire data. The results suggested that teacher support had the strongest positive effects on mathematics education doctoral students' academic performance in Indonesia. Student engagement was the most significant positive factor in improving doctoral students' well-being, while parental support could most significantly reduce their stress levels. Practically, these results are expected to provide implications to universities and supervisors regarding the improvement of doctoral students' well-being to promote their academic success and further the quality of doctoral programs in education. Theoretically, these results can also contribute to building an empirical model that can be used to explore and explain how multiple factors could affect doctoral students' academic performance in other contexts.

School climate and left-behind children's achievement motivation: The mediating role of learning adaptability and the moderating role of teacher support

School climate has been reported to have an important impact on children's achievement motivation, but the mechanism for the impact of school climate on left-behind children has not been fully explored. The purpose of this study is to investigate the roles of left-behind children's learning adaptability and teacher support in mediating and moderating the relationship between school climate and achievement motivation. In this study, 1,417 left-behind children were surveyed. The results showed that: (1) after controlling for gender and age, the school climate still had a positive effect on the achievement motivation of left-behind children (c' = 0.177, p < 0.001). (2) School climate perceived by left-behind children directly predicted their achievement motivation, and indirectly through their learning adaptability (a1 = 0.338, p < 0.001; b = 0.341, p < 0.001). In other words, left-behind children's learning adaptability may play an intermediary role between school climate and achievement motivation. (3) The indirect effect of school climate on achievement motivation through learning adaptability was moderated by teacher support (a2 = 0.153, p < 0.001), and this indirect effect was more significant for left-behind children who perceived high teacher support. The research reveals the importance of school climate and teacher support to the growth and development of left-behind children, thus holding theoretical significance for improving the achievement motivation of left-behind children.

Reading in COVID-19 Pandemic Times: A Snapshot of Reading Fluency of Portuguese Elementary School Students

The development of reading skills foresees fluency in reading. Prior research has shown that during periods of absence from school, students are prone to showing setbacks in their learning. However, the literature presents mixed findings, possibly explained by the families' socioeconomic statuses. The present study aims to analyze fluctuations in learning acquisition, specifically in reading fluency, during the pandemic, when all students were absent from school for several months. Data were collected in two waves. The present study combines quantitative and qualitative data with an explanatory sequential approach. Participants were 52 3rd-graders and their teachers. The latter were enrolled in two-member check sessions. Statistically significant differences in speed (lower than expected) and prosody (higher than expected) were found between the two sessions. Considering ASE support (financial support for low-income families from the Portuguese government), data indicate that students benefiting from this support showed performances in accuracy and speed below the expected. Prosody scores were above the expected at both sessions. Findings may provide relevant insights to further understand fluctuations in students' reading fluency during long periods of absence from school; for example, data could help prevent learning setbacks due to summer vacations.

The relationship between Chinese university students' learning preparation and learning achievement within the EFL blended teaching context in COVID-19 post-epidemic era: The mediating effect of learning methods

The effectiveness of the blended teaching model in improving university students' English learning achievement has been frequently reported in China in the post-pandemic era. However, such research has seldom explored the students' entire EFL (English as a foreign language) learning process and mechanism from the perspective of learners within this model. This study therefore used the 3P (presage, process and product) teaching and learning theory to explore the mediating role of learning methods (i.e., learning engagement and academic procrastination) in the relationship between learning preparation (i.e., academic self-concept and course experience) and learning achievement within the Chinese EFL blended teaching context from the perspective of learners. In this study, 942 Chinese university students (male: N = 447; female: N = 495) participated in a survey and completed electronic questionnaires on EFL-related academic self-concept, learning engagement, academic procrastination, and learning achievement. The data were analyzed using AMOS software and a structural equation modeling (SEM) technique. The results showed that both students' academic self-concept and course experience directly and positively predicted their English learning achievement. Moreover, students' academic self-concept of learning achievement was partially mediated by learning engagement and academic procrastination, whereas the effect of course experience on learning achievement was fully mediated by learning engagement and academic procrastination. After discussing these findings, suggestions as well as limitations for future studies will be given.

A Case Study of Factors That Affect Secondary School Mathematics Achievement: Teacher-Parent Support, Stress Levels, and Students' Well-Being

Psychology is one of the numerous factors that influences students' mathematics achievement, but studies on the influence of psychology on student mathematics achievement are still limited. This study analyzes key factors affecting mathematics achievement through teacher-parent support, stress, and students' well-being in learning mathematics. Data was collected via online questionnaires. Participants of the study are 531 students studying at five secondary schools in Bandung, Indonesia. The data were analyzed using the structural equations modeling approach using SMART-PLS 3.0 software. The results showed that interest in learning was the most significant factor affecting students' mathematics achievement. Moreover, teachers have a more substantial effect than parents' support, which does not significantly reduce the students' stress levels. The academic and emotional support of teachers and parents reduces students' stress levels while increasing their feelings and interest in learning mathematics. This study provides essential results for school teachers and parents to improve students' mathematics achievement at the secondary school level.

How teacher and classmate support relate to students' stress and academic achievement

According to the conservation of resources theory, social support provides resources to help overcome challenges. Although some empirical findings have emphasized the pivotal role of teacher support and/or peer support for students' stress and academic achievement, multilevel analyses that consider contextual class and individual student effects are scarce. The current study addresses this gap and further includes gender, socio-economic status, and neuroticism as covariates. Multilevel analyses in Mplus were conducted. All measures were taken at the student level and then aggregated to the classroom level to estimate class-level relationships. Results revealed that on the individual level, teacher support was related to higher ability to cope and lower levels of helplessness, while on the class level, peer support by classmates was related to higher ability to cope and academic achievement. The context effects also show that in classes with higher peer support, students are more likely to benefit in terms of coping ability and achievement, whereas in classes with higher teacher support, students tend to show less coping ability.

The influence of teacher support on vocational college students’ information literacy: The mediating role of network perceived usefulness and information and communication technology self-efficacy

This paper uses the network perceived usefulness scale, Information and Communication Technology (ICT) self-efficacy scale, teacher support questionnaire and higher vocational students’ information literacy scale to explore the multiple intermediary functions of network perceived usefulness and ICT self-efficacy in teacher support and higher vocational students’ information literacy from the perspective of multiple intermediary effects, and uses structural equation model for data modeling and analysis. The results show that the information literacy of higher vocational students is positively correlated with teacher support, usefulness of network perception and ICT self-efficacy. Teachers’ support is positively correlated with ICT self-efficacy and network perceived usefulness, and network perceived usefulness and ICT self-efficacy play a significant mediating role between teachers’ support and information literacy of higher vocational students. Based on the research results, some suggestions are put forward to guide teachers to help students clearly recognize the role of information technology, improve ICT self-efficacy, improve information literacy and better integrate into digital society.

Positive Influence of Cooperative Learning and Emotion Regulation on EFL Learners' Foreign Language Enjoyment

This study approaches foreign language enjoyment (FLE) through the lenses of positive psychology, and in particular, examines how enjoyment is affected by emotion regulation (ER) and two factors concerning cooperative learning (CL) in a classroom climate, namely positive goal interdependence (PGI) and peer personal support (PPS). To achieve this goal, 115 Chinese university freshmen (male 47; female 68) aged between 18 to 20 (M = 18.69; SD = 0.65) were invited to complete a questionnaire. Regression analyses revealed a clear three-factor structure determining the FLE of students learning English as a foreign language (EFL), which are ER, PGI that highlights cooperation, and PPS that emphasizes the interpersonal relationship between peers. It also showed that PGI and PPS significantly influence each other while positively and jointly shaping FLE. The findings suggest that university EFL students with higher ER abilities are more likely to obtain enjoyment in the learning process and that positive interdependence and interpersonal support during CL also play an effective role in deciding students' FLE. The study not only confirms the importance of ER and CL which may lead to high-level learning enjoyment, but also provides practical implications for the realization of an enjoyable second language acquisition (SLA) experience.

Examining the relationship between perceived teacher support and students' academic engagement in foreign language learning: Enjoyment and boredom as mediators

As an important contextual factor influencing various aspects of students' learning, teacher support has been widely explored in general education but largely overlooked in the English as a Foreign Language (EFL) context. Given its potential positive role in students' academic performance, the present study intended to investigate the relationship between perceived teacher support, enjoyment, boredom, and academic engagement in the EFL context. In so doing, 1094 Chinese high school students were recruited to complete the online questionnaire of the four variables. SPSS and PROCESS macro were used for descriptive, correlational, and mediation analyses. The results showed that students had moderate levels of perceived teacher support, enjoyment, and academic engagement and a low level of boredom. Further correlation analyses indicated medium to large correlations between perceived teacher support, enjoyment, boredom, and academic engagement. Enjoyment and boredom collectively mediated the relationship between perceived teacher support and academic engagement. Directions for future research and implications for researchers and educators are presented at the end.

Perceived teacher empathy and teenagers’ positive academic emotions: The mediating effect of interpersonal emotion regulation

Although teacher empathy has an important influence on adolescents’ positive academic emotions, the mediating mechanism between these two factors remains unclear. This study examines whether interpersonal emotion regulation plays a mediating role in the relationship between perceived teacher empathy and teenagers’ positive academic emotions. A total of 755 teenagers completed the Interpersonal Reactivity Index, the Adolescents’ Academic Emotions Questionnaire, and the Interpersonal Regulation Questionnaire. The results revealed significant correlations between two subscales of the Interpersonal Reactivity Index, perspective-taking and empathic concern; two dimensions of the Adolescents’ Academic Emotions Questionnaire, high and low positive arousal; and two dimensions of the Interpersonal Regulation Questionnaire, positive and negative emotion interpersonal emotion regulation. Perceived teacher empathy positively predicted teenagers’ positive academic emotions, and interpersonal emotion regulation played a mediating role.

The Effectiveness of Teacher Support for Students’ Learning of Artificial Intelligence Popular Science Activities

The burgeoning of new technologies is increasingly affecting people’s lives. One new technology that is heatedly discussed is artificial intelligence (AI) in education. To allow students to understand the impact of emerging technologies on people’s future lives from a young age, some popular science activities are being progressively introduced into elementary school curricula. Popular science activities are informal education programs and practices of universal education. However, two issues need to be discussed in the implementation of these activities. First, because these informal curricula are usually short in duration, the question of whether they only serve to generate motivation or actually enhance learning outcomes requires examination. Second, the role of teacher support in popular science activities and its impact on students’ learning results need to be further investigated. To this end, this study aims to explore the effectiveness of popular AI science activities in informal curricula on students’ AI achievement and the interrelationship between students’ learning outcomes in popular AI science activities with and without teacher support. A 6-h-long AI popular science activity was conducted with 22 fifth- and sixth-grade students in elementary school. This study was conducted using a one-group pretest and posttest design, and the data collection tools included AI achievement pre- and posttests and an artifact scoring rubric. The results showed that with regard to learning outcomes, popular science activities were helpful for cognitive enhancement of AI concepts, but more time was needed for skills to improve. Additionally, this study found that students’ learning performance was different with and without teacher support. Activities with teacher support can enhance students’ learning outcomes, but students become accustomed to relying on their teachers. In contrast, activities without teacher support seem to be more effective in fostering students’ independent computational thinking and problem-solving abilities.

The Impact of Positive Mood and Future Outlook on English as a Foreign Language Students’ Academic Self-Concept

Due to the fact that English as a foreign language (EFL) students’ academic self-concept is of high importance for their academic motivation, academic achievement, and L2 success, many investigations have been done to uncover the personal and interpersonal factors that may contribute to students’ academic self-concept. Yet, the emotional and psychological factors have rarely been studied. In addition, no empirical and review study has been carried out to probe into the impact of positive mood and future outlook on EFL students’ academic self-concept. Accordingly, the current review study seeks to illustrate the effects of positive mood and future outlook on EFL students’ academic self-concept. Building upon the principles of positive psychology (PP), the favorable effects of positive mood and future outlook on EFL students’ academic self-concept were thoroughly explained. The educational implications and suggestions for future research are also highlighted.

School Belonging and Reading Literacy: A Multilevel Moderated Mediation Model

School belonging is of great significance to students' physical and mental health development, especially academic improvement. However, the mechanism of the influence of school belonging on student academic achievement should be further explored, especially reading performance. Based on ecological systems theory and self-determination theory, the present research constructs a multilevel design to examine a moderated mediation model in which school belonging as a level-1 predictor, mastery goal orientation as a level-1 mediator and school disciplinary climate as a level-2 moderator jointly impact reading literacy. Results of the study were based on the questionnaires from 11,364 (5,455 girls and 5,909 boys) 15-year-olds nested in 332 schools in mainland China that participated in PISA 2018. The cross-sectional analysis indicated that: (1) school belonging had a direct and positive effect on student reading literacy; (2) the relationship between school belonging and reading literacy was prominently mediated by mastery goal orientation; (3) both school disciplinary climate level and strength could negatively moderate the latter half path of "school belonging → mastery goal orientation → reading literacy." Implications, limitations, and future research directions are discussed.

Distinct roles of perceived teacher and peer relationships in adolescent students’ academic motivation and outcomes: Father absence as a moderator

In the learning environment, both teachers and peers are influential social agents. In the present study, we differentiated between positive and negative aspects of teacher and peer relationships and examined how they predict adolescent students’ academic interest and self-concept, which in turn lead to different levels of academic achievement and subjective well-being at school. Additionally, we explored whether father absence moderated these predictive relationships. Results based on a group of 4274 Chinese middle school students revealed that positive social relationships were more closely related to interest, self-concept, and well-being than negative ones. The predictive paths from teacher relationships to motivation and achievement were stronger than those from peer relationships. However, peers played a prominent role in helping students with absent fathers build a positive self-concept, which led to improved achievement.

Pathways Linking Parental Support to Adolescents' Reading Proficiency: A Social Cognitive Theory Perspective

Parental support is essential to children’s motivation and academic functioning. However, few studies have investigated the pathways linking perceived parental support to children’s achievement in reading during adolescence. This study aims to fill this gap by systematically investigating the relationships among perceived support from parents, adolescents’ motivational beliefs, and reading proficiency based on Bandura’s social cognitive theory. A range of motivational processes are explored, including self-efficacy, goals, and values. Using the China sample from the Programme for International Student Assessment (PISA) 2018, which includes 12,058 adolescents from 361 schools, this study proposed two competing models based on different accounts of self-efficacy beliefs. Multilevel path analysis is adopted as the analytic method. The results suggest that perceived support from parents has a statistically significant but negligible relationship with adolescents’ reading proficiency. However, this relationship is mediated by nuanced pathways such as self-efficacy beliefs, mastery goal orientation, and reading enjoyment. Findings of this study provide evidence in support of the top-down theory of self-efficacy in the reading context and also contribute to a better understanding of the interactions between different motivational processes. Theoretical and practical implications of this study are discussed, and suggestions for future research are offered.

Using Machine Learning Approaches to Explore Non-Cognitive Variables Influencing Reading Proficiency in English among Filipino Learners

Filipino students ranked last in reading proficiency among all countries/territories in the PISA 2018, with only 19% meeting the minimum (Level 2) standard. It is imperative to understand the range of factors that contribute to low reading proficiency, specifically variables that can be the target of interventions to help students with poor reading proficiency. We used machine learning approaches, specifically binary classification methods, to identify the variables that best predict low (Level 1b and lower) vs. higher (Level 1a or better) reading proficiency using the Philippine PISA data from a nationally representative sample of 15-year-old students. Several binary classification methods were applied, and the best classification model was derived using support vector machines (SVM), with 81.2% average test accuracy. The 20 variables with the highest impact in the model were identified and interpreted using a socioecological perspective of development and learning. These variables included students’ home-related resources and socioeconomic constraints, learning motivation and mindsets, classroom reading experiences with teachers, reading self-beliefs, attitudes, and experiences, and social experiences in the school environment. The results were discussed with reference to the need for a systems perspective to addresses poor proficiency, requiring interconnected interventions that go beyond students’ classroom reading.