3 research outputs found

    Preservice Student Teachers’ Attitudes Towards Chemistry Teaching: The Case Of Egerton University, Kenya

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    A ZJER study on the attitude of pre-service student teachers in Kenya towards the teaching Chemistry.The purpose of this study was to determine the attitudes held by pre-service chemistry student teachers. A survey was conducted on Egerton University students in the 2002/2003 academic year. The sample included all the Bachelor of Education (Science) pre-service chemistry students. These students had just covered the Chemistry Subject Methods course and were about to start their teaching practice programme. The sample consisted of 71 male and 34 female student teachers, making a total of 105 respondents. A modified Chemistry Teachers’ Attitudes Questionnaire (CTAQ) for measuring chemistry teachers’ attitudes towards teaching was developed and used for data collection. Data were analysed using descriptive statistics, t-test and Analysis of Variance (ANOVA). The results show that pre-service chemistry student teachers have high positive attitudes towards teaching. Student teachers’ gender and subject combination have no influence on their attitudes towards chemistry teaching. These findings suggest that the current teacher training approach at Egerton University should be maintained and enriched

    Preservice Student Teachers’ Attitudes Towards Chemistry Teaching: The Case Of Egerton University, Kenya

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    The purpose of this study was to determine the attitudes held by pre-service chemistry student teachers. A survey was conducted on Egerton University students in the 2002/2003 academic year. The sample included all the Bachelor of Education (Science) pre-service chemistry students. These students had just covered the Chemistry Subject Methods course and were about to start their teaching practice programme. The sample consisted of 71 male and 34 female student teachers, making a total of 105 respondents. A modified Chemistry Teachers’ Attitudes Questionnaire (CTAQ) for measuring chemistry teachers’ attitudes towards teaching was developed and used for data collection. Data were analysed using descriptive statistics, t-test and Analysis of Variance (ANOVA). The results show that pre-service chemistry student teachers have high positive attitudes towards teaching. Student teachers’ gender and subject combination have no influence on their attitudes towards chemistry teaching. These findings suggest that the current teacher training approach at Egerton University should be maintained and enriched

    The ASOS Surgical Risk Calculator: development and validation of a tool for identifying African surgical patients at risk of severe postoperative complications

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    Background: The African Surgical Outcomes Study (ASOS) showed that surgical patients in Africa have a mortality twice the global average. Existing risk assessment tools are not valid for use in this population because the pattern of risk for poor outcomes differs from high-income countries. The objective of this study was to derive and validate a simple, preoperative risk stratification tool to identify African surgical patients at risk for in-hospital postoperative mortality and severe complications. Methods: ASOS was a 7-day prospective cohort study of adult patients undergoing surgery in Africa. The ASOS Surgical Risk Calculator was constructed with a multivariable logistic regression model for the outcome of in-hospital mortality and severe postoperative complications. The following preoperative risk factors were entered into the model; age, sex, smoking status, ASA physical status, preoperative chronic comorbid conditions, indication for surgery, urgency, severity, and type of surgery. Results: The model was derived from 8799 patients from 168 African hospitals. The composite outcome of severe postoperative complications and death occurred in 423/8799 (4.8%) patients. The ASOS Surgical Risk Calculator includes the following risk factors: age, ASA physical status, indication for surgery, urgency, severity, and type of surgery. The model showed good discrimination with an area under the receiver operating characteristic curve of 0.805 and good calibration with c-statistic corrected for optimism of 0.784. Conclusions: This simple preoperative risk calculator could be used to identify high-risk surgical patients in African hospitals and facilitate increased postoperative surveillance. © 2018 British Journal of Anaesthesia. Published by Elsevier Ltd. All rights reserved.Medical Research Council of South Africa gran
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