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PhD study outcome and the student experienceWright, Toni Elizabeth January 2005 (has links)
No description available.
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Predicting second year achievement at university : the contributions of prior achievement, cognitive ability, perceived ability and learning behaviourMohd Kosnin, Azlina January 2004 (has links)
No description available.
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The hidden curriculum of the recognition of prior learning : a case studyHarris, Judith Anne January 2004 (has links)
No description available.
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Subject media : a study in the sociocultural framing of discourseMcDougall, Julian January 2005 (has links)
This research offers an analysis of social practices and discourses at work in the assessment of Media Studies students following the OCR AS specification produced for ‘Curriculum 2000’, in its first examination session - January 2001. The purpose of the research is not to scrutinise the accuracy of such assessment, or its value, but to raise questions about subject identity at the institutional level represented by an awarding body. In particular, the intention is to investigate further issues about assessment as a social practice raised by Nick Peim in his analysis of the cultural politics of English teaching. In addition the thesis sets out to ‘test’ his suggestion that Media Studies might offer an alternative to the cultural problems he identifies within the practices of ‘Subject English.’ The method adopted is discursive and theoretical, applying critical discourse analysis, phenomenology and deconstruction. The writers whose ideas and ways of thinking about discourse, language and pedagogy are most significantly ‘applied’ to data acquired through the research are Michel Foucault and Basil Bernstein. The conclusions drawn offer a response to Peim’s suggestions, and raise more questions about subject identity for Media teachers to consider. In particular, the data analysed lends itself to an analysis of the assumptions, logical inconsistencies and oppositions set up by ‘Subject Media’ and to a discussion about the relationship between a subject’s ‘spirit’ and the reality of its assessment practices. As such it provides a ‘micro’ analysis of the boundaries placed around academic and vocational ways of learning, and seeks to question such categories.
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Towards the development of an early warning system for the identification of the student at risk of failing the first year of higher educationTill, Hettie 06 1900 (has links)
The purpose of this study was to use first-year test results to develop an early warning
system for the identification of freshmen at risk of failing.
All students registered between 1989 and 1997 for the six-year programmes chiropractic
and homoeopathy were included in this ex post facto study. A descriptive study firstly
indicated a serious problem of attrition with on average only 66% of chiropractic and
55% homoeopathy freshmen successfully completing the first year.
A relationship was demonstrated between both first and second test results and outcome
at the end of the first year of studies. A logistic regression model estimated
retrospectively from first test results in physiology, anatomy, biology and chemistry was
able to discriminate between successful and non-successful freshmen with an overall
predictive accuracy of 80.82%. When this model was validated on a different set of
data it was shown to have a very high sensitivity and was thus able to correctly identify
>93 % of the potentially at risk freshmen. It also had a low Type II error ( <7%) and thus
missed very few of the freshmen at risk of failing.
A logistic regression model estimated retrospectively from second test results in
physiology, anatomy, biology and chemistry had an overall predictive accuracy of
85.94% . The validated model had a sensitivity of 67% which was too low for the
model to be of much use as a management tool for the identification of the freshmen at
risk of failing. However, the model was shown to have a high specificity and was able to
correctly identify >93% of the potentially successful freshmen. It also had a low Type I
error (14.29%).
Discriminant analysis models estimated from both first and second test results in
physiology, anatomy, biology and chemistry produced strong support for the use of test
results for the early identification of those freshmen who would need support in order to
be successful.
It is suggested that the objective models developed in this research could identify the
freshman in need of support at an early enough stage for support measures to still have a
positive effect on attrition. / Educational Studies / D. Ed. (Educational management)
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Towards the development of an early warning system for the identification of the student at risk of failing the first year of higher educationTill, Hettie 06 1900 (has links)
The purpose of this study was to use first-year test results to develop an early warning
system for the identification of freshmen at risk of failing.
All students registered between 1989 and 1997 for the six-year programmes chiropractic
and homoeopathy were included in this ex post facto study. A descriptive study firstly
indicated a serious problem of attrition with on average only 66% of chiropractic and
55% homoeopathy freshmen successfully completing the first year.
A relationship was demonstrated between both first and second test results and outcome
at the end of the first year of studies. A logistic regression model estimated
retrospectively from first test results in physiology, anatomy, biology and chemistry was
able to discriminate between successful and non-successful freshmen with an overall
predictive accuracy of 80.82%. When this model was validated on a different set of
data it was shown to have a very high sensitivity and was thus able to correctly identify
>93 % of the potentially at risk freshmen. It also had a low Type II error ( <7%) and thus
missed very few of the freshmen at risk of failing.
A logistic regression model estimated retrospectively from second test results in
physiology, anatomy, biology and chemistry had an overall predictive accuracy of
85.94% . The validated model had a sensitivity of 67% which was too low for the
model to be of much use as a management tool for the identification of the freshmen at
risk of failing. However, the model was shown to have a high specificity and was able to
correctly identify >93% of the potentially successful freshmen. It also had a low Type I
error (14.29%).
Discriminant analysis models estimated from both first and second test results in
physiology, anatomy, biology and chemistry produced strong support for the use of test
results for the early identification of those freshmen who would need support in order to
be successful.
It is suggested that the objective models developed in this research could identify the
freshman in need of support at an early enough stage for support measures to still have a
positive effect on attrition. / Educational Studies / D. Ed. (Educational management)
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