Age-Related Differences in Academic Performance of Undergraduate Science Courses at the University of  Nairobi, Kenya

Wambugu, Lydiah; Emeke, E. A.

doi:10.24940/ijird/2019/v8/i9/147720-362876-1-sm

Cited by 11 publications

(21 citation statements)

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“…Summary statistics of outcome indicators are presented in the lower panel of Table 2 . Annual milk yield of dairy cows in Uganda was estimated at 65 liters/cow, which is much lower than in neighboring Kenya, in rest of Africa, and in Europe [ 38 ]. Households’ participation in milk markets was also low: only 12% of milk produced was sold.…”

Section: Resultsmentioning

confidence: 99%

“…For instance, previous research showed that an improved cow breed can produce over 990 liters/year compared to only 400 liters for local breeds [ 18 ], representing 148% increase in milk for improved breeds. In Kenya, a local zebu cow yields 100–200 liters/year yet an improved dairy breed yields 1,400–1,700 liters/year [ 38 ]. Thus, the potential to enhance milk productivity through adoption of improved dairy cows is irrefutable.…”

Section: Discussionmentioning

confidence: 99%

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Does ownership of improved dairy cow breeds improve child nutrition? A pathway analysis for Uganda

Kabunga¹,

Ghosh

Webb

2017

PLoS ONE

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The promotion of livestock production is widely believed to support enhanced diet quality and child nutrition, but the empirical evidence for this causal linkage remains narrow and ambiguous. This study examines whether adoption of improved dairy cow breeds is linked to farm-level outcomes that translate into household-level benefits including improved child nutrition outcomes in Uganda. Using nationwide data from Uganda’s National Panel Survey, propensity score matching is used to create an unbiased counterfactual, based on observed characteristics, to assess the net impacts of improved dairy cow adoption. All estimates were tested for robustness and sensitivity to variations in observable and unobservable confounders. Results based on the matched samples showed that households adopting improved dairy cows significantly increased milk yield—by over 200% on average. This resulted in higher milk sales and milk intakes, demonstrating the potential of this agricultural technology to both integrate households into modern value chains and increase households’ access to animal source foods. Use of improved dairy cows increased household food expenditures by about 16%. Although undernutrition was widely prevalent in the study sample and in matched households, the adoption of improved dairy cows was associated with lower child stunting in adopter household. In scale terms, results also showed that holding larger farms tends to support adoption, but that this also stimulates the household’s ability to achieve gains from adoption, which can translate into enhanced nutrition.

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Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Does ownership of improved dairy cow breeds improve child nutrition? A pathway analysis for Uganda

Kabunga¹,

Ghosh

Webb

2017

PLoS ONE

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“…However, this is not uncommon in such research (e.g. see, Wambugu & Emeke, 2016). The researchers recommend a research to find variations in the correlation values of cumulative scores and their VUCGPA in different discipline students This was how first research question was answered.…”

Section: Discussionmentioning

confidence: 99%

“…Taking a sample from on-campus and distance teaching education students Wambugu and Emeke (2016) reported differences in the correlations and predictions between the entry qualification scores and student achievement scores in three different science subjects at undergraduate level. It was noted that on-campus students were performing better than distance education students in one subject only.…”

Section: Introductionmentioning

confidence: 99%

Entry qualifications of students as predictors of academic performance in various degree programs in distance education setting in Pakistan

Abdullah

Mirza

2018

Open Praxis

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Academic performance of students has always been the area of concern for educational institutions as it is a key indicator of institutional quality. In order to have a better quality output the higher education institutions set some admission criteria such as scores on specified international standardized tests, previous academic qualifications, and admission tests of students or a combination of such scores. Virtual University of Pakistan (VU) is a technology-based distance learning institution that facilitates students who are unable to attend traditional institutions of higher education for a variety of reasons. It was of interest to the researchers to study the entry qualifications of students i.e. the admission criteria, as predictor of their academic performance in various degree programs at VU. For that purpose, the data of 5825 graduates in different two years masters programs in 2015-16 were taken as sample. The entry qualifications of students, and cumulative scores of their previous academic qualifications were taken as predictors of their performance i.e. cumulative grade point average (CGPA,) in relevant degree program. Descriptive (range, percentage) and inferential (pearson r, multiple regression) statistics were applied after grouping the students into low, average and high achievers on cumulative scores as well as entry qualification scores. The results showed significant differences in the predictions and their implications are useful for policy makers and relevant departments of the university as well as for other distance learning educational institutions.

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“…This study is consistent with the study conducted by McKenzie, Gow and Schweitzer (2004) who reported that previous qualification assumes an important part in predicting students' learning outcomes. Wambugu and Emeke (2013) reported that entry qualification is the predictor of a quality student.…”

Section: Previous/entry Qualification As Predictors Of Academic Perfo...mentioning

confidence: 99%

Predictors of academic performance of distance e-learners in a Nigerian University

Aboderin

Govender

2023

IJRBS

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This study was designed to analyze the predictors of the academic performance of distance e-learners. The population consisted of all distance learners in the university study centers in the South-West geopolitical zone. The sample of the study was made up of 1025 respondents from the university, which were selected using a purposive sampling technique. A mixed-method approach was used for the collection of data. This study applied ordinal regression analysis in searching for the best predictors among the variables under investigation in predicting the academic performance of distance e-learners. A quantitative approach was used to determine the best predictors. In contrast, a qualitative approach was used to support the quantitative results and reveal other variables not covered in the questionnaire. Results showed that five variables best predicted academic performance, and together they explained 10% of the variance in academic performance after considering all the rules that guide ordinal regression analysis. Frequency of engagement with information and communication technology (ICT) was found to be the strongest predictor, followed by students’ ICT literacy levels, marital status, previous academic performance and entry qualification. Based on the study's findings, it was recommended that policymakers and educational stakeholders fully support the implementation of e-learning in Nigerian universities.

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Age-Related Differences in Academic Performance of Undergraduate Science Courses at the University of Nairobi, Kenya

Cited by 11 publications

References 0 publications

Does ownership of improved dairy cow breeds improve child nutrition? A pathway analysis for Uganda

Does ownership of improved dairy cow breeds improve child nutrition? A pathway analysis for Uganda

Entry qualifications of students as predictors of academic performance in various degree programs in distance education setting in Pakistan

Predictors of academic performance of distance e-learners in a Nigerian University

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