Opportunity to Learn: The Impacts and Policy Implications

This study investigated the relationship between students’ opportunity to learn (OIL) and their science achievement. The data are of 623 8th-graders enrolled in five public schools in Los Angeles, California. Hierarchical linear modeling was used to analyze OTL variables at two levels of instructional processes: the classroom level and the student level. Students’ science test scores are based on a written test and a hands-on test. OTL effects on these two test scores were studied to see whether the effects differ depending on how science achievement is measured. It was found that OTL variables were significant predictors of both written and hands-on test scores even after students’ general ability level, ethnicity, and gender were controlled. The OTL effects varied by test format (written test and hands-on test). Content exposure was the most significant predictor of students’ written test scores, and quality of instructional delivery was the most significant predictor of the hands-on test scores. In conclusion, OTL variables are not unitary constructs; they are multidimensional, and different dimensions of OTL should be measured simultaneously to properly document the OTL-achievement relation.