Abstraction in computational thinking refers to the process of simplifying complex systems by focusing on the most important details while ignoring unnecessary details. This allows for easier problem-solving and understanding of the system. Automation, on the other hand, involves the use of technology to perform tasks without human intervention. In computational thinking, automation often involves writing code to execute repetitive tasks or processes, making them more efficient and less prone to human error. Both abstraction and automation are key concepts in computational thinking, as they enable the development of efficient and scalable solutions to complex problems. **

Cognitive development, or thinking development, is not fully matured at 11 years old. While significant progress has been made in cognitive abilities by this age, the brain continues to develop and change throughout adolescence and into early adulthood. Higher-order thinking skills, such as abstract reasoning, problem-solving, and decision-making, continue to develop well into the teenage years and beyond. Therefore, it is important to recognize that cognitive development is an ongoing process that extends beyond 11 years old. **

While emotions can play a role in politics, it is ultimately a field that requires a balance of logical thinking and emotional intelligence. Political decisions are often based on a combination of facts, values, and public opinion, making it necessary to consider both rational arguments and emotional responses. Therefore, it is important for politicians and citizens alike to engage in critical thinking and thoughtful analysis when navigating political issues. **

In automation, the software used is typically referred to as automation software or automation tools. These tools are designed to automate repetitive tasks, streamline processes, and increase efficiency in various industries. Some popular examples of automation software include UiPath, Blue Prism, Automation Anywhere, and Selenium. These tools often use technologies such as robotic process automation (RPA) and artificial intelligence to mimic human actions and perform tasks with minimal human intervention. **

When deciding between software and hardware, it ultimately depends on the specific needs and goals of the user. Software provides flexibility, scalability, and ease of updates, making it ideal for tasks that require frequent changes or updates. On the other hand, hardware offers reliability, security, and performance for tasks that require high processing power or data storage. It is important to carefully evaluate the requirements of the project or task at hand to determine whether software or hardware is the best solution. **

The choice between software and hardware depends on the specific needs and goals of the user. Software provides flexibility and can be easily updated or customized, while hardware offers physical components that may be more reliable and provide better performance for certain tasks. Ultimately, the decision between software and hardware should be based on the specific requirements of the user and the intended use of the technology. **

Hypothetical-deductive thinking is a problem-solving approach that involves creating a hypothesis or educated guess about a situation and then testing it through deductive reasoning. Deductive thinking, on the other hand, is a logical process where one starts with a general statement or hypothesis and then examines the possibilities to reach a specific, logical conclusion. In essence, hypothetical-deductive thinking combines the generation of hypotheses with deductive reasoning to arrive at a solution, while deductive thinking focuses solely on drawing specific conclusions from general principles. **

Besides spatial and visual thinking, other types of thinking include analytical thinking, which involves breaking down complex problems into smaller, more manageable parts; critical thinking, which involves evaluating and analyzing information in a logical and systematic way; and creative thinking, which involves generating new and innovative ideas and solutions. Additionally, there is also abstract thinking, which involves understanding and conceptualizing ideas that are not necessarily tied to concrete objects or experiences. These different types of thinking can be used in combination to approach problems and tasks from various angles and perspectives. **