Unknown

Dataset Information

0

Improving Children's Knowledge of Fraction Magnitudes.


ABSTRACT: We examined whether playing a computerized fraction game, based on the integrated theory of numerical development and on the Common Core State Standards' suggestions for teaching fractions, would improve children's fraction magnitude understanding. Fourth and fifth-graders were given brief instruction about unit fractions and played Catch the Monster with Fractions, a game in which they estimated fraction locations on a number line and received feedback on the accuracy of their estimates. The intervention lasted less than 15 minutes. In our initial study, children showed large gains from pretest to posttest in their fraction number line estimates, magnitude comparisons, and recall accuracy. In a more rigorous second study, the experimental group showed similarly large improvements, whereas a control group showed no improvement from practicing fraction number line estimates without feedback. The results provide evidence for the effectiveness of interventions emphasizing fraction magnitudes and indicate how psychological theories and research can be used to evaluate specific recommendations of the Common Core State Standards.

SUBMITTER: Fazio LK 

PROVIDER: S-EPMC5074569 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature

altmetric image

Publications

Improving Children's Knowledge of Fraction Magnitudes.

Fazio Lisa K LK   Kennedy Casey A CA   Siegler Robert S RS  

PloS one 20161021 10


We examined whether playing a computerized fraction game, based on the integrated theory of numerical development and on the Common Core State Standards' suggestions for teaching fractions, would improve children's fraction magnitude understanding. Fourth and fifth-graders were given brief instruction about unit fractions and played Catch the Monster with Fractions, a game in which they estimated fraction locations on a number line and received feedback on the accuracy of their estimates. The in  ...[more]

Similar Datasets

| S-EPMC2765208 | biostudies-literature
| S-EPMC4146696 | biostudies-literature
| S-EPMC7754805 | biostudies-literature
| S-EPMC8641142 | biostudies-literature
| S-EPMC10078766 | biostudies-literature
| S-EPMC10213804 | biostudies-literature
| S-EPMC5516266 | biostudies-other
| S-EPMC8262768 | biostudies-literature
| S-EPMC7042548 | biostudies-literature
| S-EPMC7068610 | biostudies-literature