心理学
心理信息
学生参与度
通知
感知
社会心理学
发展心理学
数学教育
梅德林
政治学
神经科学
法学
作者
Anna D. Strati,Jennifer Schmidt,Kimberly S. Maier
摘要
[Correction Notice: An Erratum for this article was reported in Vol 109(1) of Journal of Educational Psychology (see record 2016-23265-001). In this article, the sixth sentence of the Relations of Challenge and Support subsection of the Results section should read “Results from a baseline null cross-classified model indicated that 53% of the variance in engagement occurred between cell (cross-classification of student and instructional episode), about 37% occurred between-students, and about 10% was attributed to instructional episode.”] This study explored associations between students’ perceptions of challenge, teacher-provided support and obstruction, and students’ momentary academic engagement in high school science classrooms. Instrumental and emotional dimensions of support and obstruction were examined separately, and analyses tested whether the relationship between challenge and engagement was moderated by teacher support, teacher obstruction, and individual characteristics like gender and grade level. Students’ perceptions of challenge were positively related to their momentary reports of engagement in science learning activities, while teachers’ instrumental support was positively associated with engagement across all levels of perceived challenge. Even though teachers’ provision of emotional support was not predictive of student engagement, teachers’ emotional obstruction was negatively associated with student engagement. Teachers’ instrumental obstruction had less consistent associations with student engagement, and was only associated with declines in engagement during those moments when students perceived greater challenge in class. Both gender and grade level emerged as moderators of the relationship between challenge and engagement. Results are discussed in terms of implications for future research and instructional practice. (PsycINFO Database Record (c) 2017 APA, all rights reserved)
科研通智能强力驱动
Strongly Powered by AbleSci AI