The study aimed to explore the role of Sepedi poetry in teaching and learning Grade 10 grammar aspects. Poetry is deemed an efficacious resource tool for language teaching in the classroom as it teaches language skills: ...

The study focused on punctuation errors committed by Xitsonga Grade 10 learners when writing narrative essays in Xitsonga Home language. The study was a case study at Mafemani Circuit, Bohlabela District, Mpumalanga Province, ...

This study is a qualitative enquiry on the paradoxes brought about by the hegemonic concept of gender, which are fundamentally based on the differences of biological sex. Gender ideology proves to be problematic in the ...

Mobile Edge Computing (MEC) enhances networking technology by bringing computing and storage close to end users. However, this advancement introduces security challenges, particularly its susceptibility to Distributed ...

Food insecurity in Africa is attributed from an underdeveloped agricultural sector heavily dependent on primary agriculture. Agricultural productivity faces diminishing soil fertility, resource constraints, environmental ...

In Grade 10, learners had difficulty in characterising the three states of matter, solid, liquid and gas. Subsequently, the change in states of matter is too abstract and the behaviour of the particles is microscopic in ...

Corporate sustainability rank among leading factors in the agenda for many companies, given that they are compelled to report on it. Thus, companies make investments in activities that concern corporate sustainability to ...

The purpose of the study was to investigate causes of Grade 10 learners’ grammatical errors when writing English essays at a rural South African high school. The population for the study consisted of 9 secondary schools ...

The breast cancer metastasis in women had devastating disease throughout the world with patient goals aimed at improving quality of life and prolonged survival. Advanced treatments have been impressive for women with ...

The research inspects the application of machine learning approaches to forecasting customer attrition in telecommunication companies. Machine learning models such as extreme gradient boosting, random forest, k-nearest ...