2019
DOI: 10.1080/01443410.2019.1696947
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Teacher-student relationship and mathematical problem-solving ability: mediating roles of self-efficacy and mathematical anxiety

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Cited by 65 publications
(73 citation statements)
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“…Second, the findings demonstrate that teacher–student rapport exists a direct and positive impact on students' mathematical academic outcomes in rural and urban regions. This finding justified that a warm teacher–student rapport has advantages for students in different groups (urban students/rural students), indicating that focusing on promoting teacher–student rapport may be an effective approach to increasing students' mathematical academic outcomes (Hughes et al, 2008; Zhou et al, 2020) in both urban and rural schools. Moreover, when considering the mediation effects of mathematics self‐efficacy and mathematics anxiety, the findings further reveal that mathematics self‐efficacy and mathematics anxiety substantially mediate the relations between teacher–student rapport and mathematical academic outcome in both regions, which is generally consistent with previous studies (Domino, 2009; Hill et al, 2005; Jerome et al, 2009; Justicia‐Galiano et al, 2017; McConney & Perry, 2010).…”
Section: Discussionmentioning
confidence: 83%
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“…Second, the findings demonstrate that teacher–student rapport exists a direct and positive impact on students' mathematical academic outcomes in rural and urban regions. This finding justified that a warm teacher–student rapport has advantages for students in different groups (urban students/rural students), indicating that focusing on promoting teacher–student rapport may be an effective approach to increasing students' mathematical academic outcomes (Hughes et al, 2008; Zhou et al, 2020) in both urban and rural schools. Moreover, when considering the mediation effects of mathematics self‐efficacy and mathematics anxiety, the findings further reveal that mathematics self‐efficacy and mathematics anxiety substantially mediate the relations between teacher–student rapport and mathematical academic outcome in both regions, which is generally consistent with previous studies (Domino, 2009; Hill et al, 2005; Jerome et al, 2009; Justicia‐Galiano et al, 2017; McConney & Perry, 2010).…”
Section: Discussionmentioning
confidence: 83%
“…This study extends our understanding of the urban–rural unbalanced development by identifying rural–urban differences at a more micro level and a more student‐centered level. That is, this study not only articulates academic differences but also specifies differences in rural and urban students' emotional and motivational development, which are areas that are especially essential for students' holistic and long‐term mathematics development (Zhou et al, 2020). The study highlights the need for researchers, educators, administrators, and policymakers to pay special attention to the educational processes that happen in classrooms that exist in rural and urban regions.…”
Section: Discussionmentioning
confidence: 99%
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