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Researchers have worked on-finding e-commerce recommender systems evaluation methods that contribute to an optimal solution. However, existing evaluations methods lack the assessment of user-centric factors such as buying decisions, user experience and user interactions resulting in less than optimum recommender systems. This paper investigates the problem of adequacy of recommender systems evaluation methods in relation to user-centric factors. Published work has revealed limitations of existing evaluation methods in terms of evaluating user satisfaction. This paper characterizes user-centric evaluation factors and then propose a user-centric evaluation conceptual framework to identify and expose a gap within literature. The researchers used an integrative review approach to formulate both the characterization and the conceptual framework for investigation. The results reveal a need to come up with a holistic evaluation framework that combines system-centric and user-centric evaluation methods as well as formulating computational user-centric evaluation methods. The conclusion reached is that, evaluation methods for e-commerce recommender systems lack full assessment of vital factors such as: user interaction, user experience and purchase decisions. A full consideration of these factors during evaluation will give birth to new types of recommender systems that predict user preferences using user decision-making process profiles, and that will enhance user experience and increase revenue in the long run.

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COVID-19 effects have been felt in the education sector worldwide where schools, colleges, and universities were closed as a way to reduce the spread of the deadly pandemic and loss of lives. The Ministry of Higher and Tertiary Education. advocate that no child should be left behind during the COVID-19 era, therefore gave a directive for universities to use other alternative means of teaching and learning to continuously provide teaching and learning to students during the series of lockdown. An efficient eLearning system in universities is very important as an alternative to faceto-face teaching and learning in this COVID-19 era to have continuity in teaching and learning during the induced lockdowns. Success in online learning can be achieved by understanding the level of readiness of online learning environments. The main objective of the study was to evaluate the adoption of online learning by students in Zimbabwean universities. A descriptive online survey employing questionnaires to collect data on the adoption of eLearning by Zimbabwean universities students was used. Results indicated various eLearning platforms have been introduced in Zimbabwean universities though there is a need for eLearning infrastructure to be availed, students to be trained or students to effectively adopt the eLearning.