Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 1 |
| Since 2017 (last 10 years) | 3 |
| Since 2007 (last 20 years) | 4 |
Descriptor
Author
| Deane, Paul | 1 |
| Feliciani, Meghan Lynn | 1 |
| Hiroaki Ogata | 1 |
| Izumi Horikoshi | 1 |
| Kohei Nakamura | 1 |
| Malmberg, Lars-Erik | 1 |
| Manabu Ishihara | 1 |
| Mansour, Marianne | 1 |
| Martin, Andrew J. | 1 |
| Zhang, Mo | 1 |
| Zhu, Mengxiao | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 3 |
| Reports - Research | 3 |
| Dissertations/Theses -… | 1 |
Education Level
| Junior High Schools | 4 |
| Middle Schools | 4 |
| Secondary Education | 4 |
| Elementary Education | 1 |
| Grade 7 | 1 |
| High Schools | 1 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Zhu, Mengxiao; Zhang, Mo; Deane, Paul – ETS Research Report Series, 2019
The research on using event logs and item response time to study test-taking processes is rapidly growing in the field of educational measurement. In this study, we analyzed the keystroke logs collected from 761 middle school students in the United States as they completed a persuasive writing task. Seven variables were extracted from the…
Descriptors: Keyboarding (Data Entry), Data Collection, Data Analysis, Writing Processes
Kohei Nakamura; Manabu Ishihara; Izumi Horikoshi; Hiroaki Ogata – Smart Learning Environments, 2024
Expectations of big data across various fields, including education, are increasing. However, uncovering valuable insights from big data is like locating a needle in a haystack, and it is difficult for teachers to use educational big data on their own. This study aimed to understand changes in student participation rates during classes and…
Descriptors: Foreign Countries, Junior High School Students, Junior High School Teachers, Public Schools
Martin, Andrew J.; Mansour, Marianne; Malmberg, Lars-Erik – Educational Psychology, 2020
Using mobile technology and experience sampling in junior high school, real-time motivation and engagement were explored at four-levels: between lessons (up to 2 lessons per day; Level 1), between days (5 days per week; L2), between weeks (4 weeks; L3), and between students (113 students; L4). Findings for a 'random effects' model revealed…
Descriptors: Student Motivation, Learner Engagement, Computer Use, Behavior Patterns
Feliciani, Meghan Lynn – ProQuest LLC, 2013
Educators often use reading programs to address younger students' reading abilities and teachers' perceptions of those reading abilities; however, few researchers have examined teachers' perceptions of the effects of sustained silent reading on middle and high school students. The conceptual framework for this study was based on social learning…
Descriptors: Teacher Attitudes, Sustained Silent Reading, Reading Ability, Reading Teachers

Peer reviewed
Direct link
