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This meta-analysis extended the current literature regarding the effects of computer technology (CT) on mathematics achievement, with a particular focus on low-performing students. A total of 45 independent effect sizes extracted from 31 empirical studies based on a total of 2,044 low-performing students in K-12 classrooms were included in this meta-analysis. Consistent with previous reviews, this study suggested a statistically significant and positive effect of CT ([Formula: see...
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The present review examines research on the effects of educational technology applications on mathematics achievement in K-12 classrooms. Unlike previous reviews, this review applies consistent inclusion standards to focus on studies that met high methodological standards. In addition, methodological and substantive features of the studies are investigated to examine the relationship between educational technology applications and study features. A total of 74 qualified studies were included...
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In this study, we meta-analyzed empirical research of the effectiveness of intelligent tutoring systems (ITS) on K–12 students’ mathematical learning. A total of 26 reports containing 34 independent samples met study inclusion criteria. The reports appeared between 1997 and 2010. The majority of included studies compared the effectiveness of ITS with that of regular classroom instruction. A few studies compared ITS with human tutoring or homework practices. Among the major findings are (a)...
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This study examines the impact of computer technology (CT) on mathematics education in K-12 classrooms through a systematic review of existing literature. A metaanalysis of 85 independent effect sizes extracted from 46 primary studies involving a total of 36,793 learners indicated statistically significant positive effects of CT on mathematics achievement. In addition, several characteristics of primary studies were identified as having effects. For example, CT showed advantage in promoting...
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Outcome measure
- Learning (4)
Instructional domain (subject)
Education Level and Type
- ECE 0-7 (1)
- High school 16-18 (1)
- Informal education (1)
- K-12 (4)
- Middle school (1)
- Primary 7-10 (1)
- Secondary 11-16 (1)
- Tertiary (1)
Groups of students
- Low-performing (2)
- Low socio-economic status (2)
- SEND (1)
Moderating variables
Tech Hardware
- Computer (5)
- Internet (1)
- Multimedia (1 or more) (1)
Tech Software
Tech mechanism
Learning Approach
- Blended learning (1)
- Classroom learning (2)
- Remote learning (1)
Teacher Pedagogy
- _No mention (2)
- Feedback (1)
- Game-based learning (1)
Research methods
Effect size/ heterogeneity
HIC/LMIC
- HIC (high income) (2)
- Mixture or unknown (5)
Quality of research
- High: 6+ (5)
- Medium: 4 or above (1)
Geography if specific
- _no mention (1)