The research was on the effect of practical-based instruction on senior secondary students’ achievement and retention in
genetics in Ekiti, Nigeria. The moderating effect of gender was also examined. The study adopted the pretest, posttest, control group, quasi-experimental research design. The instrument used for data collection was Genetics Achievement Test (GAT) with the reliability value of 0.82 using Pearson Product Moment Coefficient. The target population of this study was 1356 which was the population of SSII Biology students in the study area. A sample of 292 students comprising 158 boys and 134 girls drawn from 6 schools in the Local government area selected using multi-stage sampling Procedures. Three research questions and four null hypotheses guided the study. The hypotheses were tested at 0.05 level of significance using Analysis of Covariance (ANCOVA). The study revealed that students taught genetics using practical-based instruction had significantly higher mean achievement scores and retention than those taught using conventional method F=555.374, P(0.0001

Nigeria has faced several challenges such as poor decision-making processes and limited use of data analytics, which has constrained the sustainability of hi-tech ventures. Nigeria initiated innovation-supported data-driven decision-making strategies to address these challenges. This study examines whether these strategies have successfully addressed the challenges. The study examined the effect of innovation-supported data-driven decision-making on the sustainability of hi-tech ventures in Southwest Nigeria. The study adopted the Dynamic Capabilities Theory as a theoretical framework. This study adopted survey and interview research designs. The target population are founders, data analysts, and operations managers in Southwest Nigeria. The total population of the study is 570. A sample size of 230 was determined using the Krejcie and Morgan formula. Primary data were sourced from questionnaire responses while secondary data were sourced from NBS, NITDA, and academic journals. The primary method of data collection used the instrument of questionnaire, while the secondary method used documentary review and interviews to obtain qualitative data. Descriptive statistics were used to present the data, while multiple linear regression was used to test the hypotheses at p

This article provides a comparative analysis of state repression during Uganda’s 2016, 2021, and 2026 general elections. Utilizing a qualitative review of secondary data including human rights reports, judicial records, and legislative texts the study investigated how the Ugandan state has evolved its tactical response to political dissent.
While the 2016 cycle was defined by overt, physical coercion, the 2021 and 2026 cycles revealed a transition toward “smart” repression, characterized by digital surveillance, legislative weaponization, and clandestine extrajudicial operations. This paper argues that these shifts represent a calculated move toward institutionalized authoritarianism, which fundamentally undermines democratic consolidation and constitutionalism in Uganda.

The study examined the coping mechanism adopted by refugees in response to aid reductions in Rwamwanja Refugee
Settlement in Kamwenge District, Uganda. The background of the study was anchored on the persistent global decline in humanitarian funding and the widening gap between refugee needs and available donor support, which has significantly constrained service delivery in protracted refugee settings. The study was guided by the Human Needs Theory propounded by Abraham Maslow, which emphasizes physiological needs (such as food, water, and shelter) and safety needs (including security and health).The study adopted a mixed-methods research design, integrating both quantitative and qualitative approaches. A total sample of 40 respondents was targeted, comprising 25 refugee household heads, 5 community leaders, 5 humanitarian staff, and 5 local service providers, achieving a 100% response rate. Data were collected using Focus Group Discussions (FGDs), Key Informant Interviews (KIIs), and structured tools. Quantitative data were analyzed using descriptive statistics, Pearson correlation, chi-square tests, and multiple linear regression, while qualitative data were analyzed thematically. The results revealed that, a significant association was found between gender and negative coping mechanisms (χ² = 4.232, p = 0.040), indicating that female-headed households were more vulnerable. Education level also significantly influenced coping strategies (χ² = 9.381, p = 0.025), with more educated respondents adopting income-generating strategies. The study concluded that humanitarian aid reduction has led to severe multi-dimensional welfare deterioration, particularly in food security, healthcare access, education, and livelihoods. Although refugees adopted various coping mechanisms such as subsistence farming (68.0%), casual labour (56.0%), and petty trade (52.0%), these strategies were largely insufficient, with many households resorting to negative coping mechanisms such as child labour (56.0%), early marriage (28.0%), and transactional sex (24.0%).
The study recommended that humanitarian agencies and governments should prioritize restoration of food and healthcare assistance, strengthen livelihood diversification programs, invest in refugee education and skills development, and promote sustainable funding mechanisms to bridge the humanitarian financing gap. Furthermore, targeted interventions should be implemented to protect vulnerable groups, especially women and children, from harmful coping strategies.

The study examined the effects of Chinese Development aid and Concessional loans on Uganda’s economic development. The study employed a descriptive survey research design based on quantitative and qualitative approach. A total population of 1,217 individuals working in institutions directly involved in China–Uganda economic cooperation, including officials from key government ministries, agencies such as the Uganda Investment Authority and Uganda Revenue Authority, and stakeholders in sectors affected by Chinese investment from which a sample was selected; a sample size of 315 respondents was selected to participate in the study. The respondents were selected using purposive sampling out of which 301 respondents participated in the quantitative component of the study through structured questionnaires, while 14 key informants were selected for qualitative data collection using semistructured interviews. The study established a positive correlation (Pearson coefficient = 0.632) between Chinese development aid and concessional loans on Uganda’s economic development, confirming a significant contribution to national economic progress.
The study therefore, concluded that, development aid and concessional loans collectively exert a positive and significant influence on Uganda’s economic development. Similarly, the study recommended strengthening debt management frameworks to ensure that concessional loans from China remain sustainable and do not exacerbate Uganda’s debt vulnerability.

The study examined the impacts of aid reduction on refugee welfare in Rwamwanja Refugee Settlement in Kamwenge District, Uganda. The background of the study was anchored on the persistent global decline in humanitarian funding
and the widening gap between refugee needs and available donor support, which has significantly constrained service
delivery in protracted refugee settings. The study was guided by the Human Needs Theory propounded by Abraham Maslow, which emphasizes physiological needs (such as food, water, and shelter) and safety needs (including security and health). The study adopted a mixed-methods research design, integrating both quantitative and qualitative approaches. A total sample of 40 respondents was targeted, comprising 25 refugee household heads, 5 community leaders, 5 humanitarian staff, and 5 local service providers, achieving a 100% response rate. Data were collected using Focus Group Discussions (FGDs), Key Informant Interviews (KIIs), and structured tools. Quantitative data were analyzed using descriptive statistics, Pearson correlation, chi-square tests, and multiple linear regression, while qualitative data were analyzed thematically. The results revealed that 100.0% of respondents confirmed the reduction in humanitarian aid, with food aid being the most affected sector reported by 96.0%, followed by healthcare (76.0%), education (72.0%), and livelihood support (64.0%). Pearson correlation analysis indicated a strong positive relationship between the number of aid types reduced and welfare deterioration (r = 0.741, p < 0.01). The regression model explained 54.9% of the variance in welfare outcomes (R² = 0.549, F (5.19) = 6.097, p = 0.002), with food aid reduction emerging as the strongest predictor (β = 0.482, p = 0.003), followed by healthcare (β = 0.362, p = 0.014) and education (β = 0.298, p = 0.044). The study concluded that humanitarian aid reduction has led to severe multidimensional welfare deterioration, particularly in food security, healthcare access, education, and livelihoods. The study therefore, recommended that humanitarian agencies and governments should prioritize restoration of food and healthcare assistance, strengthen livelihood diversification programs, invest in refugee education and skills development, and promote sustainable funding mechanisms to bridge the humanitarian financing gap. Furthermore, targeted interventions should be implemented to protect vulnerable groups, especially women and children, from harmful coping strategies.

The study examined the impacts of aid reduction on refugee welfare in Rwamwanja Refugee Settlement in Kamwenge District, Uganda. The background of the study was anchored on the persistent global decline in humanitarian funding
and the widening gap between refugee needs and available donor support, which has significantly constrained service
delivery in protracted refugee settings. The study was guided by the Human Needs Theory propounded by Abraham Maslow, which emphasizes physiological needs (such as food, water, and shelter) and safety needs (including security and health). The study adopted a mixed-methods research design, integrating both quantitative and qualitative approaches. A total sample of 40 respondents was targeted, comprising 25 refugee household heads, 5 community leaders, 5 humanitarian staff, and 5 local service providers, achieving a 100% response rate. Data were collected using Focus Group Discussions (FGDs), Key Informant Interviews (KIIs), and structured tools. Quantitative data were analyzed using descriptive statistics, Pearson correlation, chi-square tests, and multiple linear regression, while qualitative data were analyzed thematically. The results revealed that 100.0% of respondents confirmed the reduction in humanitarian aid, with food aid being the most affected sector reported by 96.0%, followed by healthcare (76.0%), education (72.0%), and livelihood support (64.0%). Pearson correlation analysis indicated a strong positive relationship between the number of aid types reduced and welfare deterioration (r = 0.741, p < 0.01). The regression model explained 54.9% of the variance in welfare outcomes (R² = 0.549, F (5.19) = 6.097, p = 0.002), with food aid reduction emerging as the strongest predictor (β = 0.482, p = 0.003), followed by healthcare (β = 0.362, p = 0.014) and education (β = 0.298, p = 0.044). The study concluded that humanitarian aid reduction has led to severe multidimensional welfare deterioration, particularly in food security, healthcare access, education, and livelihoods. The study therefore, recommended that humanitarian agencies and governments should prioritize restoration of food and healthcare assistance, strengthen livelihood diversification programs, invest in refugee education and skills development, and promote sustainable funding mechanisms to bridge the humanitarian financing gap. Furthermore, targeted interventions should be implemented to protect vulnerable groups, especially women and children, from harmful coping strategies.