Jean Baptiste Ukwizabigira

Constant teacher observation is considered to be the best tool to invest in teacher performance for growth. It creates rooms for assessment, feedback, and setting the next steps for improvement. Teachers get an opportunity to learn how they are running their classes in the eyes of other experts, co-teachers, managers, and even students. When done perfectly, the desired teacher’s continual development is achieved. Using a desktop literature review, this paper identifies the common issues in teacher observation, why there is a need for blueprint shift from announced observation to unannounced observation and draws conclusions on the future of teacher observation to ensure quality, effectiveness, and reliability in observation. KEYWORDS: teaching, observation, teacher performance

This article focuses on how supermarkets choose to stock products at different times of the year, in most supermarkets there is no real formal system in place it is just a case of the person in charge of stock making their own decisions based on their past experiences and what they know and have observed from their clientele. So, most of the estimations are done by people. This is where the proposed research comes in. Instead of solely depending on people making their own estimations we can now utilize trusted calculations and analysis of the previous sales in a supermarket using python libraries and built in functions to make accurate predictions of which products will sell more than others and by what margin.The article aims to find and define the spending patterns of consumers to help shop owners stock products more efficiently and reduce on stock waste. This article also aims to see if the future purchases of consumers can really be predicted. The recommendation is that this prediction tool can be helpful to local supermarkets to possibly increase sales and cut down on products expiring on shelves. This will also help local supermarkets to better plan their financial years.

Artificial intelligence is the new direction for future growth of today’s business landscape increasing customer satisfaction, systems efficiency and effectiveness, and data-driven decision making. It is a powerful tool to revolutionize business processes and create a competitive advantage. Through a desktop research approach review, this paper investigated the potential of AIbased models to improve performance creating business value through customer satisfaction by Rwandan companies. It examined the potential benefits of adopting AI-based models, and the challenges existing, and drew experience from success stories of Rwandan companies that are one step ahead of millions of steps to be taken. It revealed and concluded that artificial intelligence intelligence-based models create business value by increasing customer satisfaction through improved data-driven decision-making, customer interaction, processes, systems, and infrastructure. It concludes with why Rwandan companies need to position themselves to global competitive advantage by adopting artificial intelligence.

Navigating today's workplace environment requires being competent in digital skills as the world we live in is technology-driven. Digital skills have become a must-have in all careers to become successful in the workplace. Developing countries are still struggling to adopt digital skills that are of essence in today's workplace requirement. This paper used current data for teaching ICT skills at Kepler College in an effort to contribute to effective teaching strategies to equip today's learners with digital skills. It dug deeper using a holistic approach to fully understand factors contributing to effective skills mastery and connected dots to different indicators affecting teaching digital skills. It investigated effective strategies to improve the digital competence of learners. It contributes to effective teaching strategies and provides inputs to educators, governments, and other policymakers working toward achieving the SDG of creating global digital literate communities on how to effectively incorporate digital skills competence in the curriculum.

The importance of Learning Management Systems (LMS) for self-directed learning called for a rapid shift from learner -centered to fully online learning due to COVID-19. This paper examines the effects of Covid-19 Pandemic on education. The study explores the advantages and disadvantages of online education and pertaining challenges that need to be addressed for its successful implementation. During the study, an online survey was used to gather insights on students’ experiences and difficulties they encountered during the pandemic. During this survey, a total of 582 participants; the majority of whom were undergraduate students (68%) and were women (68%). While mobile phones were revealed to be the most popular e-learning tool (55%), 43% chose laptops or desktops. Importantly, it is worthy to note that 56% of respondents reported not having access to the internet, likewise 54% spend four to five hours daily on online learning. According to the study, for over a half of the participants, the shift to online classes equally led to a shift in their routines. Additionally, of the participants 10% found it challenging to balance between study time and personal time. Distractions at home and participation in other activities were the main causes of non-participation. The mean scores of 3.19 and 2.98, respectively, in the study underscores the challenges of obtaining online classes and the absence of in-person interactions. We therefore strongly recommend that future studies concentrate on these areas as they have the potential to produce even more precise and significant results.

Background Despite a global drop of under-five mortality by 59% between 1990 and 2019, it remains high in Low- and Middle- income Countries (LMICs)with a preponderance in Sub-Saharan Africa (SSA), Southern and Central Asia. Besides preterm and intrapartum complications, undernutrition contributes 45% of the deaths in these developing regions. In Africa, under-five mortality due to severe acute malnutrition (SAM) has stagnated at 10–40%, higher than WHO targets and the SDGs projections. Methods We searched MEDLINE (via PubMed), Scopus, Web of Science, Science direct, Google Scholar, Cochrane Library and Open Grey databases for literature reporting under-five mortality due to SAM in Africa from 2014 to 2024. Estimates of the primary and secondary outcomes were pooled using a random-effects meta-analysis due to the anticipated between study heterogeneity. Results Fifty-two out of 82 studies (63.4%) analyzed reported an overall under-five mortality of 11% (95%CI: 0.08–0.13). Diarrheal diseases, human immunodeficiency virus (HIV) and pneumonia were the three most frequently reported risk factors associated with mortality by 21 (40.1%), 20 (38.5%), and 14 (26.9%) studies, respectively. No significant regional variation was found. Conclusion Under-five mortality due to SAM in Africa is still high as reported in the included studies. There were no regional variations. Diarrheal diseases, HIV and pneumonia were the most frequently reported risk factors associated with under-five mortality due to SAM in Africa.