Faculty of Education - Theses

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End date: 1977 × Start date: 1970 × Subject: Curricula × Subject: Education, Secondary ×

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    An analysis of the recent reform movement in education, with special reference to Victorian secondary schools in the late nineteen sixties
    Willcox, Graeme ( 1977)
    The school reform movement in the nineteen sixties accompanied unprecedented change in culture and society. Curriculum reform was attempted throughout much of the developed world; in Victoria, the Curriculum Advisory Board was formed, and the Education Department initiated the Curriculum Reform Project for secondary schools. But the reform movement was complex; there were several distinct groups within it (deschoolers, educational technologists, and liberal humanists) whose aims and methods were often contradictory. The major reform philosophy in Victoria was liberal humanist and expressed most notably in the writings of the Director of Secondary Education, R.A. Reed, whose Curriculum Reform Project was not necessarily successful in its own terms, but nevertheless had a significant effect on secondary schooling in Victoria. The reform movement demonstrated how complex is the phenomenon of educational change; it is obviously more complicated than is suggested by the ideas of circular change or pendulum swing, and is perhaps best seen as resulting from the disturbance of equilibrium in a strong field of forces. Attempted liberal reform in Australia has led to the formation in 1973 of the Australian Council for Educational Standards, a group dedicated to the resistance of reform. There is presently a crisis in education, a crisis marked by uncertainty. The crisis should be resolved by encouraging alternatives in education, and by reorganizing educational institutions so that they can become more flexible and adaptable.
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    Distinguishing the science content taken by grade 12 students
    Cross, R. J. ( 1977)
    The population of grade 12 students in Australian secondary schools has been steadily increasing over the past two decades. For most of this period the percentage of students at this level choosing science-type courses has been decreasing, and recently the actual number taking physics and chemistry has declined in some states. This study aimed to find a set of variables that would maximize the prediction of grade 12 student science content. Emphasis was directed toward identification of science talented students not opting for high science content in grade 12, and, equally as important, those of low science ability who select predominantly science courses at this level. It was proposed that the variables could be measures of any area likely to be related to the criterion. For example, factors associated with the home, the school, and personal measures were all included. The variable set was then searched for that combination returning optimal criterion prediction. Attention was focussed on six main units of analysis viz males, males of higher science ability, males of lower science ability, females, females of higher science ability, females of lower science ability. The data in each unit was subjected to both discriminant (stepwise and direct) analysis and a process similar to a stepwise regression procedure called the Automatic Interaction Detector (AID). AID employs a branching process using variance analysis to subdivide the sample into subgroups which maximize dependent variable value prediction. The International Association for the Evaluation of Educational Achievement (IEA) conducted a series of tests on a stratified random sample of grade 12 students throughout Australia in 1970. The results, held at ACER, included measures of some 418 variables thirty four of which were selected for this investigation. Included in this group were the results of the four Commonwealth Secondary Scholarship Examination (CSSE) ability tests taken two years earlier. Analysis units were formed on the basis of sex and CSSE - Science score. The results indicate successful science content prediction is possible with the personal or internal variables of science interest, attitudes and abilities, consistently being of greatest importance. The participating external variables vary depending on the unit of analysis. The non-monotonic "State" and "Type of School" factors are predominant in AID analyses.