This paper aims at describing the difficulties of using Agile methodologies in large scale and distributed projects and then it presents a solution to such problems. The approach presented is the continuation of the development of the original Agile approach to incorporate working in the environment that involves multiple teams and remain Agile in concepts and values. Some of these are: broadening the concept of success criteria from being simply measured in time, cost and scope to including qualities such as team morale and customer satisfaction. To address geographical and organizational separations, integrated project management systems and various instant collaboration methods are endorsed. The use of the phased implementation strategy entails an analysis of the literature, a cyclical design approach, and the pilot project validation to implement and adopt the best strategies within context. Through this solution, there are insights into how the Agile approach can integrate and work cohesively, creating harmonious interdependent working systems, engaging stakeholders, and ensuring performance delivery that comes close to the Agile concept while addressing the complexities of the large project environment.

As higher education increasingly shifts towards inquiry‐based learning to equipgraduates with industry‐relevant skills, project‐based learning (PBL) has emerged as a promising approach, particularly in technical disciplines such as computer science. This study investigates learner experiences with PBL in a semester‐long Mobile Application Development course for diploma students. Employing a case study design, we administered a mixed‐method questionnaire that captured both quantitative ratings and qualitative insights. Analysis of responses reveals that PBL significantly boosts motivation, engagement, and confidence while enhancing conceptual understanding, collaboration, and practical skills in mobile app development. Despite these benefits, students identified challenges related to inadequate computing resources and technical difficulties that can hinder project execution. Importantly, the findings indicate strong learner readiness for adopting PBL across other technical courses, offering practical direction for educators aiming to integrate PBL to foster both hard and soft skills in alignment with industry demands. These results underscore PBL's potential to transform technical education and inform curriculum design, while pinpointing needed improvements in resource allocation and support.

Chronic Kidney Disease (CKD) is considered a leading cause of high morbidity and mortality. Therefore, it needs early detection to allow timely intervention aimed at the enhancement of the patient outcome. The current study presents a Transparent CKD ML which combines the predictive power of efficient ML methods with the eXplainable AI techniques for transparent interpretibility of the prediction. This study has conducted an in-depth performance evaluation of the predictive power of the following eight machine learning algorithms: Logistic Regression, K-Nearest Neighbours (KNN), Support Vector Machine (SVM), Decision Tree, Random Forest, CatBoost, XGBoost, and AdaBoost on the 'Chronic Kidney Disease' dataset provided by UCI Machine Learning Repository. As a further study on algorithm performance, performance measures of accuracy, precision, recall, and F1 score were calculated; it was determined that Logistic Regression, Random Forest, and AdaBoost were performing very well and achieved 100% score in all metrics. This study further combined the ML models with eXplainable AI ( XAI) techniques to increase the transparency of the models.  SHapley Additive exPlanations (SHAP) an XAI technique was used to provide critical insights into the causality that dictates the predictions of CKD. Thus, this combination ensures the best performance of the model, increasing the trust in AI within clinical practice. The present study, therefore, unleashes the transformational potential of AI technologies in radically renovating the management of CKD and improving patient outcomes across the world.

In the conditions of digital transformation, the issues of developing the organizational-technological structure of the formation and management of model-type new-generation enterprises are of special importance. In this aspect, Artificial Intelligence, cloud, etc. the dynamic development of innovative digital technologies, the relevance of their application in the production, service, and decision-making processes of enterprises, in the improvement of management efficiency, in the development of the organizational and economic structure, is substantiated. Some problems have been revealed based on the overview analysis of the scientific research works related to the state of processing of the problem. Those problems were used in the synthesis of the new-generation enterprise model. The considered issues include: 1)Development of a structural model reflecting some advantages using enterprise architecture management approaches, 2)Development of a conceptual model of effective management of innovative enterprises based on digital twin technologies, 3)Innovation in the enterprise, market conditions, economic efficiency and analysis of indicators characterizing the positive relationship between external and internal factors that support development, 4)Development of the model of the process of designing the organizational structure of enterprises and the development of the main stages of the process of improving the organizational structure, 5)Analysis of the impact of information technologies on the organizational structure of the enterprise, 6)Parametric analysis tools ways of optimizing the organizational structure of the enterprise management, proposing innovative methods to ensure the high quality of the organizational structure of its management, 7)Using the enterprise architecture approach in conceptual modeling for enterprise management, 8)Enterprise architecture within the framework of the open innovation concept and development of investment models for IT architectural projects, offering investment and evaluation models, etc. The role and importance of model-type, new-paradigm innovative digital enterprises in the formation of the new generation digital economy has been studied. Relevant analyses were conducted on the scientific-theoretical bases of enterprise management, existing approaches, and specific features, and scientific theories that determine its effective organizational-technological structure. Functional structural models of enterprise architecture at different levels and some of their elements have been defined. The characteristics of some platforms of the main enterprise architecture are studied, the structural elements, levels, and advantages of The Open Group Architecture Framework are shown. The elements of the organizational-technological structure of the management of model-type new-generation enterprises have been determined, and the functional stages of its organizational structure improvement have been worked out. Contradictions and defective elements of the enterprise's organizational structures have been identified. Recommendations were made regarding the conceptual model of the organizational-technological structure of the management of model-type new-generation enterprises. Conceptual linking blocks of the organizational-technological structure of the management of model-type new-generation enterprises have been proposed. Relevant recommendations were given for the development of the organizational-technological structure of the management of such enterprises for the transition to the digital innovation-based development stage on the Industry 4.0 platform.

This study determined the effect of constructive controversy strategy (CCS) and the moderator effect of self-efficacy on students’ attitude to genetics concepts in Oyo State, Nigeria. The study was anchored to situated learning theory, while the pretest-posttest control group quasi-experimental design was adopted. The sample comprised senior secondary school II science students from six public-owned secondary schools randomly selected from two local government areas using fishbowl without replacement. An intact class of secondary school II science students from each school was randomly assigned to CCS (121) and conventional strategy (119). Data were analyzed using analysis of covariance at p<0.05. There was a significant main effects of treatment on student’ attitude (F_(1;215)=4.42; partial η²=0.02) to genetics concepts. This implies that the observed difference in the attitude mean scores of students to genetics after they were exposed to CCS and control groups was significant. Students taught with CCS had improved attitude (x ̅=65.00) than those in the conventional strategy (x ̅=56.63).  Hence, CCS enhanced students’ attitude to genetics. In terms of interaction, treatment and genetics self-efficacy had significant interaction effect on students’ attitude to genetics (F_{(2; 213)}=3.04; partial η² = 0.05), indicating that self-efficacy of the students influenced the effectiveness of the strategies employed in this study and this will favour medium self-efficacious students whenever these strategies are used. The implication of this is that biology teachers should always consider students’ self-efficacy whenever they want to implement constructive controversy strategy in biology classroom.