Faculty of Education - Theses
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ItemAn exploratory study of teachers' planning in secondary social science( 1976)For approximately the last twenty-five years Tyler's classical model has formed the basis of much curriculum planning. Stated in bare outline the model involves the following logical operations: (a) state objectives (b) select experiences (c) organize experiences (d) evaluate. Over time, this approach has been refined although its fundamental principles are still recommended to teachers by many authorities for the rational planning of courses, units and lessons. In view of a body of literature suggesting that some teachers plan differently from the classical approach, initially a view intuitively supported by this investigator, this study sought to explore the planning models used by some secondary social science teachers. Four teachers for study were identified. Insight into their methods of planning were obtained by interview, by simulated unit development and by classroom observations. The study raises a number of issues deserving closer examination. While it appears that some teachers may consider objectives to be central to the planning process, notwithstanding a disagreement about how specifically they should be stated, others view objectives as being peripheral or of little consequence. This latter group concentrate more on planning around the experiences and content to be presented to the students which, nevertheless, reflect their general intentions. An analysis of these respective approaches, when translated into classroom practice, suggests the usefulness of examining to what extent stating specific instructional objectives results in closed and terminal learning patterns. Additionally, how far teachers are sufficiently clear about their intentions and how much learning is enhanced when specific objectives are avoided in the planning process merit closer study. Comparatively speaking, judgements about any merits or limitations of planning with or without specific objectives require , extensive analysis of learning outcomes. A research pattern for such an analysis is explored in this study.
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ItemDistinguishing the science content taken by grade 12 students( 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.