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中学信息技术整合的预测因素:来自一项对30000多名学生的大规模研究的证据。

Predictors of Information Technology Integration in Secondary Schools: Evidence from a Large Scale Study of More than 30,000 Students.

作者信息

Hew Khe Foon, Tan Cheng Yong

机构信息

Faculty of Education, The University of Hong Kong, Hong Kong, Hong Kong SAR.

出版信息

PLoS One. 2016 Dec 20;11(12):e0168547. doi: 10.1371/journal.pone.0168547. eCollection 2016.

Abstract

The present study examined the predictors of information technology (IT) integration in secondary school mathematics lessons. The predictors pertained to IT resource availability in schools, school contextual/institutional variables, accountability pressure faced by schools, subject culture in mathematics, and mathematics teachers' pedagogical beliefs and practices. Data from 32,256 secondary school students from 2,519 schools in 16 developed economies who participated in the Program for International Student Assessment (PISA) 2012 were analyzed using hierarchical linear modeling (HLM). Results showed that after controlling for student-level (gender, prior academic achievement and socioeconomic status) and school-level (class size, number of mathematics teachers) variables, students in schools with more computers per student, with more IT resources, with higher levels of IT curricular expectations, with an explicit policy on the use of IT in mathematics, whose teachers believed in student-centered teaching-learning, and whose teachers provided more problem-solving activities in class reported higher levels of IT integration. On the other hand, students who studied in schools with more positive teacher-related school learning climate, and with more academically demanding parents reported lower levels of IT integration. Student-related school learning climate, principal leadership behaviors, schools' public posting of achievement data, tracking of school's achievement data by administrative authorities, and pedagogical and curricular differentiation in mathematics lessons were not related to levels of IT integration. Put together, the predictors explained a total of 15.90% of the school-level variance in levels of IT integration. In particular, school IT resource availability, and mathematics teachers' pedagogical beliefs and practices stood out as the most important determinants of IT integration in mathematics lessons.

摘要

本研究考察了中学数学课中信息技术(IT)整合的预测因素。这些预测因素涉及学校的IT资源可用性、学校背景/机构变量、学校面临的问责压力、数学学科文化以及数学教师的教学信念和实践。使用分层线性模型(HLM)对来自16个发达经济体的2519所学校的32256名中学生的数据进行了分析,这些学生参加了2012年国际学生评估项目(PISA)。结果表明,在控制了学生层面(性别、先前学业成绩和社会经济地位)和学校层面(班级规模、数学教师数量)的变量后,每名学生拥有更多计算机、更多IT资源、IT课程期望水平更高、有明确的数学IT使用政策、教师信奉以学生为中心的教学且教师在课堂上提供更多解决问题活动的学校中的学生,报告的IT整合水平更高。另一方面,在教师相关的学校学习氛围更积极、家长学业要求更高的学校学习的学生,报告的IT整合水平较低。与学生相关的学校学习氛围、校长领导行为、学校公开张贴成绩数据、行政当局对学校成绩数据的跟踪以及数学课中的教学和课程差异化与IT整合水平无关。综合来看,这些预测因素共解释了学校层面IT整合水平差异的15.90%。特别是,学校的IT资源可用性以及数学教师的教学信念和实践是数学课中IT整合的最重要决定因素。

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