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Fyfe, Emily R. – Grantee Submission, 2016
Homework is transforming at a rapid rate with continuous advances in educational technology. Computer-based homework, in particular, is gaining popularity across a range of schools, with little empirical evidence on how to optimize student learning. The current aim was to test the effects of different types of feedback on computer-based homework.…
Descriptors: Algebra, Homework, Feedback (Response), Middle School Students
Moroni, Sandra; Dumont, Hanna; Trautwein, Ulrich; Niggli, Alois; Baeriswyl, Franz – Journal of Educational Research, 2015
Parental involvement research has greatly expanded over the past decade, but findings are mixed, reflecting in part the conceptual and methodological limitations of many studies. On the basis of longitudinal questionnaire data from 1,685 sixth-grade students, the authors studied parental help with homework because it is the most common and most…
Descriptors: Parent Role, Homework, Helping Relationship, Questionnaires
Hwang, Wu-Yuin; Hsu, Guo-Liang – Turkish Online Journal of Educational Technology - TOJET, 2011
This study is aimed at investigating students' annotation behaviors and their effects on learning achievement with pre-reading (reading before class) exercises and Web-based sharing mechanisms. An 8-week quasi-experiment was conducted with 125 sixth-grade elementary school students. The study shows the following results. First, a significant…
Descriptors: Foreign Countries, Elementary School Students, Computer Assisted Instruction, Prior Learning
Southworth, Stephanie – Education Policy Analysis Archives, 2010
This study explores the effects of school-level characteristics on North Carolina students' reading and math achievement from fourth through eighth grade, focusing on the relationships between achievement and the racial and poverty composition of schools. After creating race-by-poverty cohorts of schools, I use multilevel models to examine math…
Descriptors: Teacher Effectiveness, Poverty, Reading Achievement, Grade 8
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection

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