This article reports findings from a "meta-review" and synthesis of research on variables related to learning, including both cognitive and affective schooling outcomes. Results confirm that distal policy variables are less important to schooling outcomes than quantity and quality of instruction, home environment, or student characteristics. (IAH)

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)

This study explored the relationship between classification achievements and mathematics scores. A series of 16 items which included many of the traditional tasks used in Piagetian examinations of intellectual function, were used in group presentations. Ten of these tasks required concrete operations including class inclusion, additive…

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)

While online education has made great strides in recent years to become an accepted component of higher education, with many colleges now offering accredited online degree programs, the current opportunities and challenges of online K-12 education are still awash in the turbulent waters of regional politics, temperamental technologies, changing…

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)

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)

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…

The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…