Computational thinking is a problem-solving mindset and a fundamental skill recommended for everyone. It involves leveraging the advantages of computers to more effectively solve problems by transforming them into computable program. Computational thinking is implemented through four stages. The first step is decomposition, where the problem is broken down into smaller components to enhance the efficiency. The second step is pattern recognition, which involves analyzing data and identifying the reasoning applied at each stage of the process, as well as the relationships and differences between various problems. The third step is abstraction, which Modeling the problem so as to understand the core of the problem. The fourth step is algorithm design, where, based on the efforts in the previous steps, Provide a standardized approach to solving exhaustion problems, thereby increasing the efficiency of solving this type of problem (Wing, 2006).
Advantage
Computational thinking emphasizes the ability to analyze and solve problems， rather than relying on mechanical repetition. Have computational thinking skills enables me to better handle data and understand problems in the future(Selby et al., 2013). allowing me to create algorithms and computational models for similar problems. In the classroom, computational thinking serves to explore the essence of problems, enhancing the efficiency of students in completing assignments and academic research. For example, To create a numeric graphic, I would build it by means of an array, rather than repeatedly writing the specified numbers.
Computational thinking will be very useful in the future. I will encounter a lot of difficulties in my future work, for example, facing a large amount of data to be processed, having computational thinking allows you to create algorithms based on the data pattern and utilize scripts to complete the work, while the computer is working, you can enjoy a cup of coffee on the side or at the same time do other work instead of repeating the process mechanically and inefficiently, which is prone to causing errors. Having a computational mindset will be very helpful to my career development in a future where the job market is becoming more and more efficiency-oriented.
Reference list
Selby, C., Woollard, J., Selby, C. and Woollard, J. (2013). Computational thinking: the developing definition. [online] eprints.soton.ac.uk. Available at: https://eprints.soton.ac.uk/356481/.
Wing, J.M. (2006). Computational thinking. Communications of the ACM, [online] 49(3), p.33. doi:https://doi.org/10.1145/1118178.1118215.
