1,720,956 research outputs found
Effect of Computer Based Instruction on Secondary School Learners’ Academic Achievement in Biology
Get PDFPurpose: This study investigated the effect of computer based instruction (CBI) on secondary school learners’ academic achievement in Biology.
Methodology: The study was carried out in four schools, using quasi experimental research design and was guided by systems theory. The target population was 40, 564 secondary school Biology learners. Sampling was by purposive sampling and simple random sampling. The sample comprised of 161 learners. These were obtained from four form two streams in four secondary schools that had learners of mixed gender. Each secondary school contributed a stream, which gave four intact groups. Data collection was by use of questionnaires and achievement test. The collected data was analysed using descriptive statistics such as frequencies, percentages and means and inferential statistics such as analysis of covariance (ANCOVA) and analysis of variance (ANOVA), using the Statistical Package for Social Sciences (SPSS). The data was then presented in the form of tables and a graph. The significance level of the difference between the variables was done at the alpha value of 0.05.
Findings: Findings of the study indicate that learners who were taught using CBI had superior scores compared to those who were taught conventionally. The ANCOVA to explore whether or not there was a statistically significant difference between the groups of learners indicated that indeed there was a statistically significant difference between the groups. Consequently, CBI improves learners’ academic achievement in Biology. However, there was no effect of gender on the way CBI influenced the performance.
Unique Contribution to Theory, Practice and Policy: The study was guided by systems theory Schools should therefore enhance computer integration in the teaching and learning process
Effect of Computer Based Instruction on Secondary School Learners’ Academic Achievement in Biology.
Get PDFThis study investigated the effect of computer based instruction (CBI) on secondary school learners’ academic achievement in Biology. Methodology: The study was carried out in four schools, using quasi experimental research design and was guided by systems theory. The target population was 40, 564 secondary school Biology learners. Sampling was by purposive sampling and simple random sampling. The sample comprised of 161 learners. These were obtained from four form two streams in four secondary schools that had learners of mixed gender. Each secondary school contributed a stream, which gave four intact groups. Data collection was by use of questionnaires and achievement test. The collected data was analysed using descriptive statistics such as frequencies, percentages and means and inferential statistics such as analysis of covariance (ANCOVA) and analysis of variance (ANOVA), using the Statistical Package for Social Sciences (SPSS). The data was then presented in the form of tables and a graph. The significance level of the difference between the variables was done at the alpha value of 0.05. Findings: Findings of the study indicate that learners who were taught using CBI had superior scores compared to those who were taught conventionally. The ANCOVA to explore whether or not there was a statistically significant difference between the groups of learners indicated that indeed there was a statistically significant difference between the groups. Consequently, CBI improves learners’ academic achievement in Biology. However, there was no effect of gender on the way CBI influenced the performance. Unique Contribution to Theory, Practice and Policy: The study was guided by systems theory Schools should therefore enhance computer integration in the teaching and learning process
Impact of Computer Application on the Learning, Perception of Learning and Achievement in biology by Secondary School Students in Kenya.
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Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Effect of General Computer Use on Secondary School Students' Performance in Biology
No full textAlthough knowledge of biology is important for the survival of humans, performance in the subject, both in pre-Kenya Certificate of Secondary Education (pre-KCSE) assessment and national examinations in Vihiga county has always been below average. Several interventions have been put in place to rectify the situation but in vain. However, the effect of the general computer use has not been investigated. This study investigated the effect of the general computer use on secondary school students’ performance in biology. This study used descriptive survey research design. The target population was secondary school biology students of Vihiga county. Data collection was by use of questionnaires, interviews, and document analysis schedule. Sampling was by multistage sampling, purposive sampling, stratified sampling, proportionate sampling and simple random sampling. Sample size was 1003 students. The collected data was analysed using descriptive statistics such as frequencies, percentages and means and inferential statistics such as Pearson’s r, using the Statistical Package for Social Sciences (SPSS). The significance level of the difference between the data was done at the alpha value of 0.05. This study found that there is no relationship between the general computer use and performance in biology
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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