We conduct a large scale experiment to investigate peer effects in computer assisted learning (CAL). Identification relies on three levels of randomization. We find an average 0.17 standard deviation improvement in math scores among primary school students. This average effect is the same for students treated individually or in pairs, implying that peer effects double the learning benefit from a given equipment. Among paired students, poor performers benefit more from CAL when paired with good performers and vice versa. Average performers benefit equally irrespective of who they are paired with. This suggests that the treatment is dominated by knowledge exchange between peers. We also find that CAL treatment reduces the dispersion in math scores and that the beneficial effects of CAL can be strengthened if weak students are systematically paired with strong students.
机构:
Ctr Social Sci, Res Ctr Educ & Network Stud, Computat Social Sci, Budapest, Hungary
Ctr Econ & Reg Stud, Inst Econ, Budapest, Hungary
TARK Social Res Inst, Budapest, HungaryCtr Social Sci, Res Ctr Educ & Network Stud, Computat Social Sci, Budapest, Hungary
Keller, Tamas
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机构:
Kim, Jinho
Elwert, Felix
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机构:
Univ Wisconsin Madison, Dept Sociol, Madison, WI USA
Univ Wisconsin Madison, Dept Biostat & Med Informat, Madison, WI USACtr Social Sci, Res Ctr Educ & Network Stud, Computat Social Sci, Budapest, Hungary