Wednesday, February 19, 2020

Class Size Does Not Affect Learning Outcomes Essay

Class Size Does Not Affect Learning Outcomes - Essay Example    Learning outcomes can be enhanced by ensuring that appropriate management practices are adopted in a class setting. If the teacher employs better strategies for handling the class, the class size may not affect the student achievement. However, if the strategies are flawed, even in a small class setting the students may fail to meet the specific learning outcomes. Consequently, resource allocation is a fundamental instrument for ensuring learning outcomes. If the small and larger classes receive the necessary requirements, the learning outcomes may be improved significantly.  Impact of a reduced class on learning outcomes It has been argued that small classes have a positive impact in influencing the learning outcomes of the students. However, positive learning outcomes cannot only be pegged on class size because of the varying dynamics. For example, for a student to perform exceptionally, the attitudes of the teacher and students must be positively inclined. A teacher may hav e a small class but confronted with certain challenges that impede learning outcomes. The curriculum employed in teaching the students may not have the appropriate establishments that improve the student's achievement.Consequently, the students may not have the interest to learn, hence being in a small class may not have the remedies.  Class size has limited impact on the learning outcomes of a student. For example, in the universities, some of the classes have a huge population of students yet some of them graduate with better grades.

Tuesday, February 4, 2020

Supply Chain Management and Logistics Coursework

Supply Chain Management and Logistics - Coursework Example 4.1.4.5 Don't reinvent the wheel 23 4.1.4.6 Map out the Risk process 23 4.1.4.6.1 Building Risk modules 24 4.1.4.6.2 Identify inputs and parameters 24 4.1.4.6.3 Simulate 24 4.1.5 Create the plan 24 4.1.6 Implementation 25 4.1.7 Review and evaluation of the plan 25 4.2 Limitations 26 4.3 Areas of Risk Management 26 4.3.1 Enterprise risk management 26 4.3.2 Risk management activities as applied to project management 27 4.4 Risk management and business continuity 28 4.5 The proposed methodology 29 4.6 Quality Targets of the Simulation Models 30 4.7 Gantt chart showing the activities against time 31 5. Case study of AON 34 5.1 Global risk management solutions 34 5.1.1 Mergers & Acquisitions 34 5.1.2 Captive Services and Alternative Risk Transfer 35 5.1.3 Crisis Management Practice 36 6. Conclusion 40 References 42 1. Introduction Supply Chain Management (SCM) is a technology-enabled management approach to getting goods and services from a firm's suppliers to its customers in a quick, efficient and cost effective manner. SCM links and co-ordinates these flow among business entities across the entire value chain (Bill Detwiler). This includes material suppliers, production facility, distribution, services and customers; linked together via the feed-forward flow of information and the feed-back of materials [Evans, 1995]. 1.1Nature of study This project is to examine management logistics in supply chain management as it relates to the business process with the goal to produces a model for risk management. The project is descriptive in nature. It seeks to quantify the types of risks manufacturing management has experiences and models used to develop resolutions. This will be accomplished using experimental simulation models. 1.2 Reason for...The objective of this study is to examine management logistics in supply chain management as it relates to the business process with the goal to produce a model for risk management. It also demands a holistic understanding of risks, assessments, and responses in supply chain management. Supply Chain Management (SCM) is a technology-enabled management approach to getting goods and services from a firm's suppliers to its customers in a quick, efficient and cost effective manner. SCM links and co-ordinates these flow among business entities across the entire value chain (Bill Detwiler). This includes material suppliers, production facility, distribution, services and customers; linked together via the feed-forward flow of information and the feed-back of materials [Evans, 1995]. This project is to examine management logistics in supply chain management as it relates to the business process with the goal to produces a model for risk management. The project is descriptive in nature. It seeks to quantify the types of risks manufacturing management has experiences and models used to develop resolutions. This will be accomplished using experimental simulation models. 5. This project further seeks to modify the future of risk incidence and intensity of threats or opportunities and their possible impact on business performance (Chapman and Ward, 1997).