At Quest, students develop the real world skills needed to thrive in a rapidly changing world. These skills aren't taught in schools or learning apps because applied skills cannot be taught through lectures or textbooks. To learn to swim, one must actually get into the water. This is why we build custom learning simulations (complex intelligent games). These simulations give students an engaging, realistic, and safe environment to develop the following advanced real-world skills.
• Arithmetic: Addition, subtraction, multiplication, and division mastery.
• Applied Numeracy: Practical, real-world use of decimals, percentages, and fractions.
• Algebraic Thinking: Everyday use of algebra for problem-solving and logical deduction.
• Probabilistic Thinking: Developing the mindset to think in probabilities rather than absolutes, also known as "thinking in bets."
• Probability Fundamentals: Mastery of core probability concepts such as Dependent and Independent Probability, Means/Averages, etc.
• Expected Value: Calculating and interpreting expected outcomes in various contexts and understanding symmetric sk/ward.
• Distribution: Grasping Normal Distribution, Variance, and the significance of Samples.
• Data Visualization: Recognizing patterns and trends through graphical representation of data, including charts, graphs, and tables.
• Analyzing Data: Basic techniques for data analysis, such as comparative analysis, trend analysis, and the use of descriptive statistics to summarize data findings.
• Interpreting Data: Developing the ability to draw conclusions from data, understand limitations, and apply findings to real-world problems.
• Interest: Understanding Simple and Compound Interest Rates.
• Financial Analysis: Analyzing Profit & Loss, Return on Investment (ROI), and Breakeven Points.
• Cost Analysis: Differentiating between Variable and Fixed Costs.
• Behavioral Finance: Recognizing and mitigating the impact of Sunk Cost Bias in decision-making.
• Market Dynamics: Exploring the principles of Supply and Demand.
• Game Theory: Introduction to Nash Equilibrium and strategic decision-making.
• Economic Decision Making: Understanding Opportunity Costs and their implications.
• Market Strategies: Concepts of Arbitrage, Scarcity, and identifying Bottlenecks.
• Resource Management: Optimizing the use and distribution of resources, balancing long-term efficiency with short-term needs.
• Process Optimization: Principles of Automation and Optimization for efficiency.
• Scalability Principles: Understanding Leverage and Scalability in systems.
• Dynamic Systems: Analyzing Iteration and Feedback Loops for continuous improvement.
• Supply Chain Dynamics: Examining the supply chain Bullwhip Effect and strategies to mitigate it.
• Foundations of Logic: Introducing Logical Constructs, Fallacies, Logic Gates, and basic Algorithmic concepts.
• Critical Analysis: Techniques for deconstructing complex problems, arguments, and scenarios to assess their components critically.
• Decision Making: Applying logical reasoning and thinking to make informed decisions.