Investigating gender differences in mathematics performance and in self‐regulated learning

Influences of process-based instruction on students’ use of self-regulated learning strategies in EFL writing

This study was to examine the individual differences in primary school students’ motivation (i.e. growth mindset, self-efficacy, and interest), self-regulated learning strategy use in English writing and the relationships between motivation, strategy use and English writing competence. Participants were 523 4th grade primary school students in Hong Kong. Although the findings showed a general pattern that the high achievers reported higher levels of motivation (i.e. growth mindset, self-efficacy, and interest) and self-regulated learning (SRL) strategy use than the average achievers, who in turn outperformed the low achievers, all the students showed quite a low level of interest in English writing. Interestingly, motivation impacted SRL strategy use very differently for students of different writing competence groups on the whole. Three-group Structural Equation Modelling (SEM) suggested that growth mindset had the strongest and most significant correlations with all students’ use of SRL strategies. However, interest and self-efficacy had different relationship patterns with SRL strategy use among the high, average and low achievers. Interest had no significant relations with the high achievers’ SRL strategy use, while self-efficacy had no significant relations with the low achievers’ SRL strategy use. Implications for English teachers to improve differentiated instruction are discussed.

This study reported on the use of self-regulated learning (SRL) strategies of Thailand EFL students, in relationship with students’ English proficiency in CEFR levels. It involved 152 second-year undergraduate non-English major students (19.7% male, 78.3% female) at a university in Thailand. First, the students took an English proficiency test assessing listening, reading, writing, and speaking skills framed by the Common European Framework of Reference (CEFR) for Languages; then, they completed a set of surveys focusing on the use of SRL strategies in English learning. The collected data was analyzed using descriptive statistics, One-Way ANOVA, and Pearson correlation. The results revealed that the most-used strategy by A1, A2, B1, and B2 students was Goal Setting and Planning. A little significant difference in SRL strategies use between A1 and A2 students was observed. However, significant differences in the use of SRL strategies were observed between A1 and A2 groups and the B2 group. This study barely confirmed significant differences between the B1 group and the groups at A1, A2, and B2 levels in the use of SRL strategies. Lastly, a negative significant relationship was established between the use of students’ SRL strategies and their English proficiency. Some recommendations for future studies are suggested in this study

Gender differences in the relations between EFL students' classroom relationships and English language proficiency: The mediating role of self-regulated learning strategy use

While extensive research supported the facilitative role of motivation in general self-regulated learning (SRL) strategy use, its connection to writing-specific SRL strategy use remains underexplored. Furthermore, the exploration of the interplay between motivation and SRL strategy use in second or foreign (L2) writing was absent within the motivational-self system. Even less is known about the mechanism between motivational factors and SRL strategy use in L2 writing. This study aims to fill the gap by testing the mediating role of positive emotions (enjoyment, pride, and hope) between future L2 writing selves (ideal L2 self and ought-to L2 self) and SRL strategy use in the Chinese English as a foreign language (EFL) writing context with a mixed method design incorporating both quantitative and qualitative methods. Three hundred and sixty students enrolled in College English writing classes were recruited and they reported their responses to standardized measures. Results of structural equation modelling (SEM) showed that positive emotions partially mediated the link between ideal L2 writing selves and SRL but not between ought-to L2 writing selves and SRL. Semi-structured interviews about students’ in-depth perceptions of the three constructs complemented our quantitative results. Theoretical and pedagogical implications are also discussed.

Purpose This study aimed to investigate how different types of teachers’ support are associated with students’ self-regulated learning (SRL) strategy use in English as a second language (ESL) collaborative learning and the mediating role of motivation in these relationships. Design A cross-sectional survey design was adopted to examine the relationships among the variables. Using convenience sampling, the study involved 386 fourth- and fifth-grade students from Hong Kong primary schools. Questionnaires were administered to measure students’ perceived teachers’ support, SRL strategy use, and motivation in ESL collaborative learning. Structural equation modeling and bootstrapping analysis were employed to assess the total, direct and indirect associations between teachers’ support and SRL strategy use. Findings The model demonstrated a good fit to the data. Informational support was directly and indirectly associated with goal-setting and planning through self-efficacy. In contrast, instrumental support showed a negative association with goal-setting and planning. Emotional support was positively related to behavioral regulation and self-evaluation. Appraisal support was positively linked to goal-setting and planning, monitoring, behavioral regulation and self-evaluation, both directly and indirectly through self-efficacy and anxiety. Originality/Value The findings confirmed distinct associations of multifaceted teachers’ support with students’ SRL strategy use, with motivation as a mediator, providing insights for instructional optimization.

The present study explored different types of task value and their associations with the use of self-regulated learning (SRL) strategies across various English as a foreign language (EFL) learning scenarios. The application of SRL strategies is supported by motivational beliefs, including task value. Although prior research has demonstrated the importance of motivational beliefs in SRL, there remains a need for further clarification regarding the characteristics and role of task value, particularly the cost (i.e., a negative aspect of task value) in relation to SRL. Furthermore, given the context-dependent nature of SRL, both values and strategies should be adapted to specific learning environments. In this study, 12 Japanese EFL university students participated in two rounds of semi-structured interviews. The first session focused on their English learning experiences, expectations, and perceptions of the value and cost associated with learning English. In the second session, they roleplayed four scenarios — a homework assignment, an in-class task, preparation for an English certification exam, and learning for personal growth — while using a think-aloud protocol to express their thoughts and feelings. Follow-up interviews were conducted after each roleplay. Thematic analysis was used to identify the participants’ values and costs and to analyze their use of SRL strategies. The findings revealed that participants concurrently hold multiple types of task value, which were tied to and shaped by their past learning experiences. Several patterns were also identified for SRL strategies in each scenario, corresponding to task value.

Self-regulated learning (SRL) plays an important role in successful learning with hypertexts. The use of appropriate SRL strategies helps students acquire new knowledge more efficiently. We investigated the use of SRL strategies in individual learning from expository science hypertext, the correlations between different measures of self-regulation, and the differences in SRL between more and less successful students. A sample of 443 ninth graders from 15 different schools participated in the study. A variety of off- and online measures were used to measure SRL. Data were collected from student traces, questionnaires, tests scores, and notes. Low correlations between the off- and online measures of SRL suggest that they measure different aspects of SRL use in learning digital science texts. Student achievement in science positively correlated with their use of SRL strategies. Students with higher knowledge gains reported the higher use of deep cognitive strategies, higher motivation for learning, and used a higher number of strategies in note-taking while learning. The results of this study may have practical implications for teachers to support student SRL and for developers of digital learning materials to incorporate SRL scaffolding into learning topics.

This study investigated the relationships between struggling writers’ motivation (i.e., interest, self-efficacy, and growth mindset) and their use of self-regulated learning (SRL) strategies (i.e., planning, text-generating, self-monitoring, and collaborative learning) and writing competence in an English as a foreign language (EFL) context. Participants were 368 primary students in Hong Kong who scored 15 or less out of 48 marks in a writing test. They reported a generally moderate level of motivation and lower medium level of SRL strategy use. Especially, the participants reported a low level of interest. Results of structural equation modelling (SEM) suggested that growth mindset had the strongest positive correlations with the struggling EFL writers’ use of SRL strategies. Both self-efficacy and interest also had positive correlations with the students’ SRL strategy use, but only self-efficacy had significant and positive relations with their writing competence. Implications for English teachers to improve instruction for struggling EFL writers’ in order to promote their motivation and SRL strategy use are provided and suggestions for future research are also discussed.

Reviewers have consistently concluded that males perform better on mathematics tests than females do. To make a refined assessment of the magnitude of gender differences in mathematics performance, we performed a meta-analysis of 100 studies. They yielded 254 independent effect sizes, representing the testing of 3,175,188 Ss. Averaged over all effect sizes based on samples of the general population, d was -0.05, indicating that females outperformed males by only a negligible amount. For computation, d was -0.14 (the negative value indicating superior performance by females). For understanding of mathematical concepts, d was -0.03; for complex problem solving, d was 0.08. An examination of age trends indicated that girls showed a slight superiority in computation in elementary school and middle school. There were no gender differences in problem solving in elementary or middle school; differences favoring men emerged in high school (d = 0.29) and in college (d = 0.32). Gender differences were smallest and actually favored females in samples of the general population, grew larger with increasingly selective samples, and were largest for highly selected samples and samples of highly precocious persons. The magnitude of the gender difference has declined over the years; for studies published in 1973 or earlier d was 0.31, whereas it was 0.14 for studies published in 1974 or later. We conclude that gender differences in mathematics performance are small. Nonetheless, the lower performance of women in problem solving that is evident in high school requires attention.

Compared with classroom learning, online learning requires students to self-regulate their learning processes and to maintain their motivation to achieve their learning goals. This study investigated whether the interventions based on the Attention, Relevance, Confidence, and Satisfaction model and the modified Introducing the new concepts, Metacognitive questioning, Practicing, Reviewing and reducing difficulties, Obtaining mastery, Verification, and Enrichment method can promote students’ motivation and use of self-regulated learning (SRL) strategies in a web-based mathematics learning environment. Two-hundred thirty-six Chinese high school students were randomly divided into four groups: motivational design group, SRL intervention group, motivational design and SRL intervention group, and the control group. Questionnaires and tests were administered to measure the changes in motivation, use of SRL strategies, and academic gains before and after the respective interventions. Findings of this study suggest that the knowledge gain of students learning mathematics online can be maximized when they receive instructional assistance in both motivation and use of SRL strategies.

Can the use of cognitive and metacognitive self-regulated learning strategies be predicted by learners’ levels of prior knowledge in hypermedia-learning environments?

A study of self-regulated learning strategies as predictors of critical reading

This study investigated the extent to which self-report and digital-trace measures of students’ self-regulated learning in blended course designs align with each other amongst 145 first-year computer science students in a blended “computer systems” course. A self-reported Motivated Strategies for Learning Questionnaire was used to measure students’ self-efficacy, intrinsic motivation, test anxiety, and use of self-regulated learning strategies. Frequencies of interactions with six different online learning activities were digital-trace measures of students’ online learning interactions. Students’ course marks were used to represent their academic performance. SPSS 28 was used to analyse the data. A hierarchical cluster analysis using self-reported measures categorized students as better or poorer self-regulated learners; whereas a hierarchical cluster analysis using digital-trace measures clustered students as more active or less active online learners. One-way ANOVAs showed that: 1) better self-regulated learners had higher frequencies of interactions with three out of six online learning activities than poorer self-regulated learners. 2) More active online learners reported higher self-efficacy, higher intrinsic motivation, and more frequent use of positive self-regulated learning strategies, than less active online learners. Furthermore, a cross-tabulation showed significant (p < .01) but weak association between student clusters identified by self-reported and digital-trace measures, demonstrating self-reported and digital-trace descriptions of students’ self-regulated learning experiences were consistent to a limited extent. To help poorer self-regulated learners improve their learning experiences in blended course designs, teachers may invite better self-regulated learners to share how they approach learning in class.

Exploring differences in self-regulated learning strategy use between high- and low-performing students in introductory programming: An analysis of eye-tracking and retrospective think-aloud data from program comprehension