A Meta-analysis of the Effects of Computer Technology on School Students’ Mathematics Learning

By Qing Li, Xin Ma. 2010

532 citations recorded by the source corpus.

Subfields: Computer Science Applications, Developmental and Educational Psychology, Education

View Paper: https://www.semanticscholar.org/paper/3edf7738fe3d163df04a3106974002ea57b6fd6b

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In Computer Science Applications

In Developmental and Educational Psychology

In Education

Citations in the corpus

TIMSS 2011 International Results in Mathematics. (2012, background): “…of the impact of computer technology on mathematics education in US classrooms found significant positive effects, and in particular that computer technology had a stronger effect in promoting mathematics achievement among elementary compared to secondary school students (Li & Ma, 2010).”
Impacts of digital technologies on education and factors influencing schools' digital capacity and transformation: A literature review (2022, background): “Specifically, a number of studies reported positive impacts on students’ achievement in mathematics (Balanskat et al., 2006; Hillmayr et al., 2020; Li & Ma, 2010; Pan et al., 2022; Ran et al., 2022; Verschaffel et al., 2019; Zheng et al., 2016).”
Developing and Validating a Reliable TPACK Instrument for Secondary Mathematics Preservice Teachers (2013, unknown): “…Bos, 2007; Doerr & Zangor, 2000; Duda, 2011; Dugdale & Kibbey, 1990; Dunham & Dick, 1994; Guckin & Morrison, 1991; Hollebrands, 2003; Kaput, 1995; Li & Ma, 2010; López, 2010; Mitchell, Bailey, & Monroe, 2007; Page, 2002; Schmidt, Kohler, & Moldenhauer, 2009; Wenglinsky & Educational Testing…”
Mathematics Education in Sub-Saharan Africa (2016, background): “They do not prove, however, that teachers have acquired what Ma (1999) calls the deep understanding of fundamental mathematics necessary to convey true understanding to their students.”
What Is the State of theArt of Systematic Reviewin Engineering Education? (2015, background): “We highlight four reviews that were especially complete in their acknowledgement of limitations of their systematic review (Connolly et al., 2012; Kadiyala & Crynes, 2000; Li & Ma, 2010; Uttal et al., 2013).”
How Methodological Features Affect Effect Sizes in Education (2016, methodology): “Second, researcher-developed measures are more likely to be used in small-scale studies, while standardized tests, which may be less sensitive to treatments, are often used in large-scale studies (de Boer et al., 2014; Edmonds et al., 2009; Li & Ma, 2010; Scammacca et al., 2007).”
STEMulating Interest: A Meta-Analysis of the Effects of Out-of-School Time on Student STEM Interest (2016, background): “For example, all students of color are typically aggregated into the same group and groups are coded as homogeneous versus heterogeneous in meta-analysis research (Hembree & Dessart, 1986; Li & Ma, 2010).”