Variables which affect students' academic motivation, and thus, school learning, are discussed. Recent research has built on the model presented by Carroll in 1963. Research on the following concepts is reviewed: active learning time; academic motivation, significant others; sex of student; context of learning; and affective factors. (GDC)

A causal model of a cycle of student performance is proposed. Two investigations were conducted in Australia, studying individuals and classrooms. Attitudes toward, and achievement in, mathematics and science were measured. The roles of attentiveness and teachers' use of time were also studied. (GDC)

Five statistical techniques were used to analyze the data collected in a previous article (TM 511 223) on student achievement, attention, and motivation in secondary school mathematics and science: ordinary least squares regression, canonical correlation, factorial modeling, partial least squares path analysis, and linear structural relations…

Regression analyses examined the relationships among: time spent (periods and hours per week) studying science; time allocated for science homework; time used by teacher; and time not spent in learning. The performance cycle model of achievement, aspiration, and attitude was supported at the between classrooms level. (GDC)

The results of this issue's series of articles are summarized, and implications for theory, research, and practice are discussed. Initial academic achievement was the strongest predictor of student achievement. The impact of attentiveness, motivation, student background, sex, and time on task were also described. (GDC)