aUsing student achievement data from British Columbia, Canada, this study is an exploration of the differences that lie within the private school sector using hierarchical linear modeling to analyze the data. The analysis showed that when controlling for language, parents' level of educational attainme...
This article further identifies one use of student achievement data for growth-based, value-added modeling that is not plagued by the problems of construct shift: the assessment of an upper grade content (e.g., fourth grade) in both the grade below and the appropriate grade to obtain a ...
AN ANALYSIS OF PISA DATA TO EXPLORE THE RELATIONSHIP BETWEEN STUDENTS' COMPUTER USE ATTITUDES TOWARD SCHOOL AND READING ENJOYMENT TIME ACADEMIC achievementINTERNET entertainmentAs use of technology continues its rapid growth among students, both within and outside of the educational context, ... E Zt...
This study aims to examine the impact of reduced in-person learning during COVID-19 on students’ academic achievement gaps focusing on rural–ur
Data analysis to improve student outcomesCompleted 100 XP 6 minutes Effective school leaders demonstrate that student learning and student achievement is their top priority. They do this through thoughtful, purposeful, and strategic actions that not only build, but support a learning organization foc...
Identifying Effective Classroom Practices Using Student Achievement Data Recent research has confirmed both the importance of teachers in producing student achievement growth and in the variability across teachers in the ability... TJ Kane,ES Taylor,JH Tyler,... - 《Nber Working Papers》 被引量: 24...
In this chapter, the question of whether the sex of the teacher influences the achievement, attitudes and behavior of students attending primary schools stood central. The assumption was that as the number of female teachers increases, fewer male role models are available to students. The decreased...
Previous attempts to understand the activity inlearning management systemshave failed to provide log data analysis methods that significantly predict student achievement. The number and frequency of keystrokes andmouseclicks have little to say about cognitive activities. On the other hand, self-reporting...
学生管理系统 使用Jhipster +vue.js 搭建。. Contribute to liyuexing/StudentAchievementManagementSystem development by creating an account on GitHub.
longitudinal assessment data. Quantile regression is used to estimate the conditional density associated with each student's achievement history. Percentile growth projections/trajectories are calculated using the derived coefficient matrices and show the percentile growth needed to reach future achievement ...