Browsing by Author "Ikoha, Peters Anselemo"

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    Assessing the Long-Term Changes in Selected Meteorological Parameters over the North-Rift, Kenya: A Regional Climatology Perspective
    (Hydrology, 2024-12-03) Makokha, John Wanjala; Masayi, Nelly Nambande; Barasa, Peter; Ikoha, Peters Anselemo; Konje, Martha Muthoni; Mutonyi, Jonathan; Okello, Victor Samuel; Wechuli, Alice Nambiro; Majengo, Collins Otieno; Khamala, Geoffrey Wanjala
    Understanding long-term trends in climatic variables is essential for assessing climate change impacts on regional ecosystems and human livelihoods. A regional analysis of climatic variables over some domains is inevitable due to their geographical location and importance to the agricultural sector. Due to the aforementioned demands, the current study analyzes, trends in precipitation (from Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS)), and minimum and maximum temperatures (from TerraClimate) over the North-Rift region of Kenya for over thirty (30) years using satellite data. The seasonal decomposition analysis was performed for each variable to explore the trends and residual components. The findings by the current study indicate that most counties, have experienced enhance precipitation which corresponds to a declining diurnal temperature from 2019 onwards. The seasonality component reveals repeated patterns or variations occurring at steady intervals within each region's data, hence suggesting a distinct regional seasonal trend in the selected meteorological parameters over time. Basically, all counties have reported a relatively constant variability in both maximum and minimum temperatures during the study period except from 2017 onwards where significant variability in the two properties is recorded. In conclusion, the foregoing results that the selected climatic variables exhibit significant spatiotemporal and interannual variability
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    Learners’ self-directed learning readiness factors towards online learning in Universities: An exploratory factor analysis
    (Alupe University Multidisciplinary Research Journal, 2025-04-28) Asenahabi, Bostley Muyembe; Ikoha, Peters Anselemo; Wechuli, Alice Nambiro
    Self-directed learning is an essential skill to be possessed by learners for them to comfortably study online besides harnessing their scientific reasoning, critical appraisal, information literacy, and life-long learning. The purpose of this study was to explore factors attributed to self-directed learning readiness towards online learning among university learners. The study adopted the design science world view, quantitative research design and survey research method. This study used a sample size of 398 learners who were randomly selected to take part in the study. Proportional allocation method was used to get the exact number of learners per university who were randomly selected. Quality was ensured through both validity and reliability tests. Exploratory Factor Analysis was used to extract principal components and indicators mapping onto them. Based on the indicators’ themes that were converging on the constructs, the constructs were named: Self-Management with 13 indicators; Self- Control with 11 indicators and Urge to Learn with 6 indicators. This study will be beneficial to policy makers in universities for assessing the state of self-directed learning readiness of learners towards online learning.