{"id":7750,"date":"2025-05-29T02:20:54","date_gmt":"2025-05-29T02:20:54","guid":{"rendered":"https:\/\/www.21kschool.com\/bd\/blog\/computational-thinking\/"},"modified":"2025-08-07T02:45:15","modified_gmt":"2025-08-07T02:45:15","slug":"computational-thinking","status":"publish","type":"post","link":"https:\/\/www.21kschool.com\/bd\/blog\/computational-thinking\/","title":{"rendered":"Computational Thinking: A Key Skill for the Future"},"content":{"rendered":"\n

Today, since our world<\/strong> is becoming <\/strong>more digital<\/strong>, figuring out solutions through critical thinking is crucial<\/strong>.<\/p>\n\n\n\n

It can be seen that technology affects <\/strong>nearly every part of life<\/strong>. Therefore, Computational thinking <\/strong>has become essential for computer scientists<\/strong> and those trying to handle <\/strong>all the challenges of modern life<\/strong>.<\/p>\n\n\n\n

It\u2019s not limited to learning how computers operate<\/strong>. But , it surely requires <\/strong>you to divide a problem into understandable chunks<\/strong>. And then, find common patterns, pull out important details <\/strong>and decide on a series of moves to solve it<\/strong>.<\/p>\n\n\n\n

In this article<\/strong>, we will discuss <\/strong>the main ideas and steps of computational thinking<\/strong>. We will also recognize its importance<\/strong> in many professions and assess how it shapes progress in education, technology <\/strong>and careers<\/strong>.<\/p>\n\n\n\n

What is Computational Thinking?<\/h2>\n\n\n\n

Computational thinking<\/strong> is an approach to solving problems <\/strong>by relying on core ideas from computer science<\/strong>. In 2006, Jeanette Wing <\/strong>made the argument <\/strong>that computational thinking is important for all individuals.<\/strong><\/p>\n\n\n\n

And not only for people who study computer science<\/strong>. Wing argued that Computational Thinking(CT) is important because it helps people develop thinking patterns<\/strong> similar to those used by computers<\/strong>.<\/p>\n\n\n\n

Computational thinking<\/strong> handles a problem in bits, spot patterns, filters out unnecessary things <\/strong>and sets up algorithms <\/strong>to overcome it. This concept is applied<\/strong> in areas such as mathematics, engineering, healthcare, business <\/strong>and art<\/strong>. <\/p>\n\n\n\n

Although coding and programming<\/strong> are involved in CT<\/strong>. The way of thinking from CT <\/strong>can assist in handling real-life challenges in a timely manner<\/strong>.<\/p>\n\n\n\n

Take a minute here to learn more about coding for kids<\/strong>.<\/a>\r\n<\/p>\n\n\n\n

Why is it Important to Focus on Computational Thinking?<\/h2>\n\n\n\n

With the growing demand for <\/strong>real skills like problem-solving<\/strong><\/a>\r\n along with creativity<\/strong>, computational thinking<\/strong> can not be laid behind<\/strong>. In almost every sector of living<\/strong>, this skill has made its performance<\/strong>.<\/p>\n\n\n\n

People are curious<\/strong> to know <\/strong>and implement <\/strong>it through various means in their lives. Some of the key roles are<\/strong> discussed below:<\/p>\n\n\n\n

1. Roles in Computer Science<\/h3>\n\n\n\n

Computer science <\/strong>relies on computational thinking <\/strong>to help solve problems<\/strong>. This allows programmers <\/strong>to create programs, algorithms <\/strong>and systems<\/strong> that deal with <\/strong>important challenges<\/strong>. <\/p>\n\n\n\n

AI, machine learning <\/strong>and data science use computational thinking<\/strong> to help with organizing data <\/strong>and making decisions by recognizing patterns<\/strong>. Programmers make heavy use of computational thinking<\/strong> which is essential for computer science. <\/p>\n\n\n\n

A programmer uses CT to analyze problems, solve them <\/strong>and improve systems<\/strong>. The process of writing code<\/strong> wouldn\u2019t be clear and precise enough <\/strong>without computational thinking<\/strong>.<\/p>\n\n\n\n

2. Importance in Today\u2019s Digital World<\/h3>\n\n\n\n

Now, technology impacts <\/strong>almost every part of human life<\/strong>. Computational thinking <\/strong>is what helps us use<\/strong> both our phones <\/strong>and AI-driven technology in useful ways<\/strong>. <\/p>\n\n\n\n

Explore the future of artificial intelligence in education.<\/strong><\/a>\r\n<\/p>\n\n\n\n

The ability to handle serious problems logically <\/strong>and with reasoning <\/strong>helps staying competitive in today\u2019s world relying heavily on algorithms<\/strong>. These days, with the world advancing<\/strong> so quickly, everyone can benefit from thinking computationally<\/strong>. <\/p>\n\n\n\n

It\u2019s meant for anyone who seeks to succeed <\/strong>in a world full of technology<\/strong>. Healthcare, finance <\/strong>and entertainment <\/strong>are just some areas where computational thinking is gaining importance<\/strong>.<\/p>\n\n\n\n

3. Preparation for Future Jobs<\/h3>\n\n\n\n

With technology evolving<\/strong>, more organizations seek people who<\/strong> can think computationally<\/strong>. This applies most to areas like data science, creating software, cybersecurity <\/strong>and automation<\/strong>. <\/p>\n\n\n\n

Yet, CT has value in areas<\/strong> beyond <\/strong>the technical sector<\/strong>. Many sectors are acknowledging <\/strong>that using computational thinking strengthens creativity, <\/strong>problem-solving skills<\/strong><\/a>\r\n <\/strong>and productivity<\/strong>.<\/p>\n\n\n\n

Here are some of the future technology jobs in the 21st century<\/strong>.<\/a>\r\n<\/p>\n\n\n\n

4. Help in Solving Problems<\/h3>\n\n\n\n

This technique is a key asset <\/strong>when it comes to solving problems<\/strong>. It simplifies difficult problems<\/strong> by handling them one small section at a time<\/strong>.<\/p>\n\n\n\n

CT points out tasks to handle a community event<\/strong> such as setting a budget, making a timeline <\/strong>and distributing resources<\/strong>. This helps to create an orderly system for handling issues.<\/p>\n\n\n\n

Furthermore, CT allows for discovering patterns <\/strong>and creating methods<\/strong> that can be used again. If one detects similarities in various issues<\/strong>, it becomes possible to develop strategies that can be used again <\/strong>which saves <\/strong>both time and effort<\/strong>.<\/p>\n\n\n\n

For students <\/strong>who need more assistance,<\/strong> here\u2019s how to improve problem-solving skills<\/strong>.<\/a>\r\n?<\/p>\n\n\n\n

Core Elements of Computational Thinking<\/h2>\n\n\n\n

Solving problems<\/strong> and building effective solutions<\/strong> in computer science is based on <\/strong>a few main principles of computational thinking<\/strong>. They can be useful in coding <\/strong>and also in our regular activities<\/strong>.<\/p>\n\n\n\n

1. Decomposition<\/h3>\n\n\n\n

Decomposition<\/strong> helps by breaking a difficult problem into simpler sub-problems<\/strong>. At this point, things that seemed insurmountable <\/strong>are made <\/strong>much less complicated<\/strong>. <\/p>\n\n\n\n

It enables you to pay attention to one aspect of the process <\/strong>which aids in handling <\/strong>the task step by step<\/strong>. For instance, consider planning a trip <\/strong>before you go. <\/p>\n\n\n\n

Planning <\/strong>proceeds by assigning each step of booking, selecting location, making reservations <\/strong>and planning a day-by-day timetable <\/strong>to smaller sub-tasks. <\/p>\n\n\n\n

Decomposing the problem<\/strong> helps you manage each area more efficiently<\/strong> and eventually find a solution to the issue<\/strong> at hand.<\/p>\n\n\n\n

Decomposition <\/strong>can\u2019t be done without analysing the issue <\/strong>thoroughly. To have this quality, it\u2019s crucial to develop a child\u2019s problem-solving and analytical skills<\/strong>.<\/a>\r\n<\/p>\n\n\n\n

2. Pattern Recognition<\/h3>\n\n\n\n

To do pattern recognition<\/strong>, you must look for similar behaviors <\/strong>or features in the problem <\/strong>you are analyzing. If you notice a pattern<\/strong>, you can use your past experiences to develop a solution<\/strong>. <\/p>\n\n\n\n

This allows us to guess the answer <\/strong>and avoid having to start from the beginning<\/strong> every time. Common code arrangements <\/strong>and algorithms<\/strong> are examples of<\/strong> what pattern recognition <\/strong>may find in coding. <\/p>\n\n\n\n

Pattern recognition can be used in real life to notice customer habits<\/strong>. Moreover, spot issues that keep coming up in a project <\/strong>and anticipate<\/strong> the most suitable times to release a new product<\/strong>.<\/p>\n\n\n\n

3. Abstraction<\/h3>\n\n\n\n

In abstraction<\/strong>, we look only at the important details <\/strong>while leaving out <\/strong>the extra or irrelevant aspects<\/strong>. When you do this, you don\u2019t have to cope with unnecessary information <\/strong>and can quickly focus on solving the problem<\/strong>.<\/p>\n\n\n\n

When we drive a car<\/strong>, knowing all about <\/strong>the engine is unnecessary<\/strong>. The main <\/strong>thing is understanding how the steering, gas and brake pedals function<\/strong>. <\/p>\n\n\n\n

In programming, thinking about only the key aspects needed<\/strong> to accomplish the goal <\/strong>is called abstraction<\/strong>.<\/p>\n\n\n\n

4. Algorithm Design<\/h3>\n\n\n\n

An algorithm is a series of rules<\/strong> that helps solve a particular issue<\/strong>. Algorithms are either designed as code or manual steps for addressing issues <\/strong>in the real world.<\/p>\n\n\n\n

If you want to bake a cake<\/strong>, you look at the directions to guide <\/strong>your actions. When working with big data, complicated algorithms<\/strong> are sometimes applied to <\/strong>help with sorting<\/strong>, math formulas <\/strong>and image identification<\/strong>.<\/p>\n\n\n\n

Don\u2019t forget how to explain algorithms to your kids<\/strong>.<\/a>\r\n?<\/p>\n\n\n\n

Processes Involved in Computational Thinking<\/h2>\n\n\n\n

The process includes numerous steps<\/strong> that have to be worked through repeatedly <\/strong>for the best solution<\/strong>.<\/p>\n\n\n\n

1. Problem Identification<\/h3>\n\n\n\n

Computational thinking <\/strong>begins when the problem you want to address is identified<\/strong>. It requires identifying the key issue <\/strong>and figuring out the solution<\/strong>. <\/p>\n\n\n\n

If the problem<\/strong> is not fully understood<\/strong>, any solution <\/strong>aimed at it would go astray<\/strong>. A company hoping to keep customers from leaving<\/strong> could first notice <\/strong>that many subscribers <\/strong>are churning out.<\/strong> <\/p>\n\n\n\n

By understanding <\/strong>the problem well<\/strong>, they are able to look for a specific solution<\/strong>.<\/p>\n\n\n\n

2. Algorithmic Expression<\/h3>\n\n\n\n

After the problem is found<\/strong>, you should express <\/strong>it step by step as <\/strong>an algorithm<\/strong>. You could tap into coding, draw a flowchart <\/strong>or organize the tasks into a list<\/strong>.<\/p>\n\n\n\n

An online shop<\/strong> could suggest items to customers using an algorithm <\/strong>created to study their past purchases<\/strong>.<\/p>\n\n\n\n

3. Solution Implementation<\/h3>\n\n\n\n

After the algorithm is finished, solution implementation<\/strong> has to be put into practice<\/strong>. This is the point when you implement your plan<\/strong>. <\/p>\n\n\n\n

This means that the first step of software development <\/strong>is to write the code<\/strong>. Also, it could refer to actual practical use such as running a trial, deciding on something <\/strong>or introducing a new process<\/strong>.<\/p>\n\n\n\n

4. Evaluation<\/h3>\n\n\n\n

At the end, computational thinking <\/strong>involves evaluating the solution<\/strong>. After the solution<\/strong> is put in place<\/strong>, you should check if it addresses the issue <\/strong>effectively. <\/p>\n\n\n\n

If not<\/strong>, you will have to update the algorithm <\/strong>and continue with the process<\/strong>. A\/B testing<\/strong> can be used by <\/strong>a company to test different designs<\/strong> for their site. <\/p>\n\n\n\n

And find out which keeps users more interested<\/strong>. Once <\/strong>the results are available<\/strong>, the team may improve or refine the layout more<\/strong>.<\/p>\n\n\n\n

Also enlighten yourself with the difference between assessment and evaluation<\/strong>.<\/a>\r\n<\/p>\n\n\n\n

Implementation of Computational Thinking In Schooling<\/h2>\n\n\n\n

Modern schools recognize <\/strong>the need <\/strong>for their students to learn computational thinking<\/strong>. Schools are preparing <\/strong>their students <\/strong>by introducing <\/strong>them to CT <\/strong>at a young age. <\/p>\n\n\n\n

As the world will need technology more in the future<\/strong>. Originally, the use of computational thinking<\/strong> was limited to STEM <\/strong>and computer topics<\/strong>. <\/p>\n\n\n\n

But now it is part of the curriculum<\/strong> for all academic fields.<\/p>\n\n\n\n

1. Early Education<\/h3>\n\n\n\n

At early education <\/strong>level, computers are used to teach basic computer skills<\/strong> using fun and easy puzzles, games and activities<\/strong>. They may, for example, do sequencing puzzles that urge them to follow a particular set of steps<\/strong>.<\/p>\n\n\n\n

Or use software<\/strong> that tests <\/strong>their critical-thinking skills<\/strong>.<\/p>\n\n\n\n

2. Secondary Education<\/h3>\n\n\n\n

At the secondary level<\/strong>, computational thinking <\/strong>is better organized<\/strong>. Students first learn <\/strong>to use Scratch, Python or JavaScript<\/strong>. <\/strong><\/p>\n\n\n\n

Thus, applying concepts<\/strong> such as splitting up a problem<\/strong>, remaining focused on the right information<\/strong> and using instructions in sequence<\/strong>. <\/p>\n\n\n\n

Thanks to this, students are able to develop an app for a social purpose, tackle scientific questions <\/strong>or work with historical data<\/strong>.<\/p>\n\n\n\n

3. Higher Education<\/h3>\n\n\n\n

Computational thinking <\/strong>is included in computer science departments<\/strong> of universities<\/strong>. It is also used in areas such as engineering, business <\/strong>and healthcare<\/strong>. <\/p>\n\n\n\n

Advanced algorithms, machine learning and data structures <\/strong>are introduced <\/strong>to students. But concepts from computational thinking <\/strong>can still apply everywhere<\/strong>. <\/p>\n\n\n\n

More colleges and universities<\/strong> are introducing interdisciplinary courses on CT<\/strong> for non-technical majors<\/strong>. This is to help all students deal with tough issues in healthcare, marketing or environmental science<\/strong>.<\/p>\n\n\n\n

Real World Applications<\/h2>\n\n\n\n

Solving problems <\/strong>and increasing innovations<\/strong> in industries can benefit greatly from <\/strong>using computational thinking<\/strong>. There are many examples of computational thinking <\/strong>used in everyday and industrial settings.<\/p>\n\n\n\n

1. Industrial Applications<\/h3>\n\n\n\n

Electronics:<\/h4>\n\n\n\n

Automotive and electronics<\/strong> industries rely on computational thinking<\/strong> to improve the use of robotics and automation in factories<\/strong>. When companies separate manufacturing processes <\/strong>and use algorithms to improve them<\/strong>, goods <\/strong>are created quickly and at a lower expense<\/strong>.<\/p>\n\n\n\n

Health Sector:<\/h4>\n\n\n\n

In healthcare<\/strong>, computers help diagnose patients<\/strong> by noticing trends in their information<\/strong> and aiding in scheduling medical interventions<\/strong>. Artificial intelligence<\/strong> and machine learning make use of CT<\/strong> to review a large amount of data<\/strong>. <\/p>\n\n\n\n

It includes detecting trends that a human doctor might miss<\/strong>.<\/p>\n\n\n\n

Finances: <\/h4>\n\n\n\n

Banking and finance <\/strong>industries use computational thinking for detecting fraud<\/strong>, reviewing risk and carrying out algorithmic trades<\/strong>. An analysis of large datasets<\/strong> helps institutions spot any unusual patterns <\/strong>and secure their finances.<\/p>\n\n\n\n

Retail & Ecommerce: <\/h4>\n\n\n\n

Firms such as Amazon and eBay rely on computational thinking<\/strong> to better manage inventory<\/strong>. Like suggesting products<\/strong> to customers and figuring out the best way to deliver <\/strong>items. <\/p>\n\n\n\n

Machine learning <\/strong>is guided by computational thinking to correctly predict what customers want <\/strong>and improve their experience<\/strong>.<\/p>\n\n\n\n

Supply Chain & Logistics: <\/h4>\n\n\n\n

Firms in logistics<\/strong> resort to computational thinking<\/strong> to plan efficient routes, lower their transportation bills<\/strong> and guarantee deliveries on time<\/strong>. Using algorithms <\/strong>helps to handle stock in the warehouse<\/strong> and choose the most cost-effective way to deliver goods<\/strong> worldwide.<\/p>\n\n\n\n

2. Daily Applications<\/h3>\n\n\n\n

The concepts of computational thinking<\/strong> are used <\/strong>both in professional workplaces <\/strong>and in daily activities<\/strong>. Using known approaches<\/strong> can support us when dealing with daily tasks<\/strong> such as time-management skills<\/strong><\/a>\r\n and our finances<\/strong>.<\/p>\n\n\n\n

Time-Management:<\/h4>\n\n\n\n

We can manage our time<\/strong> by focusing on smaller tasks<\/strong>. And by noticing<\/strong> how <\/strong>we tend to use our time<\/strong>, we can become more productive<\/strong> during the day. <\/p>\n\n\n\n

Apps, like Google Calendar or Todoist<\/strong>, plan our schedules <\/strong>by importance and use algorithms<\/strong> to help us stay more productive<\/strong>.<\/p>\n\n\n\n

Decisions: <\/h4>\n\n\n\n

Computational thinking<\/strong> helps us to choose the best way to avoid traffic<\/strong> and decide what groceries to buy<\/strong> based on sales.<\/p>\n\n\n\n

Personal Budgeting: <\/h4>\n\n\n\n

To manage personal finances<\/strong>, people should spot <\/strong>their usual spending, reduce unnecessary costs <\/strong>and decide how much to save<\/strong>. You can use Mint or YNAB<\/strong> to design your own system for following your income, expenses <\/strong>and investments<\/strong>.<\/p>\n\n\n\n

Home Automation: <\/h4>\n\n\n\n

Many individuals take advantage of smart systems<\/strong> (e.g., Alexa, Google Home<\/strong>). These apply computer skills to control appliances<\/strong> like heaters and lights based on set plans or situations.<\/p>\n\n\n\n

Travel and Navigation: <\/h4>\n\n\n\n

With their ability to handle live traffic information<\/strong>, apps such as Google Maps<\/strong> and Waze <\/strong>help you choose the best route<\/strong>. They make sure to update <\/strong>their algorithms regularly for easy navigation<\/strong>.<\/p>\n\n\n\n

Examples of Computational Thinking<\/h2>\n\n\n\n

We use computational thinking<\/strong> in many situations beyond technology<\/strong> such as in science or medicine<\/strong>. This section includes examples of problem-solving with computational thinking<\/strong>.<\/p>\n\n\n\n

1. Medical Analysis<\/h3>\n\n\n\n

While making a medical diagnosis<\/strong>, doctors analyze each symptom<\/strong> separately. They find patterns in patients\u2019 medical records<\/strong>. Then, guess the most likely reasons for the symptoms (abstraction)<\/strong> and plan outlines<\/strong> for each test and treatment (algorithmic design)<\/strong>. <\/p>\n\n\n\n

Algorithms are helpful<\/strong>, as they allow MRI analysis<\/strong> to notice patterns in pictures that might be simply too difficult for a human to spot<\/strong>.<\/p>\n\n\n\n

2. Environmental Sciences <\/h3>\n\n\n\n

Through computational thinking<\/strong>, scientists <\/strong>can study climate change, risk of deforestation <\/strong>and find effective uses of energy<\/strong>. Using data and modeling<\/strong>, they forecast upcoming changes<\/strong> in the environment and set up plans to reduce any harm<\/strong>.<\/p>\n\n\n\n

3. Business Decision-Making<\/h3>\n\n\n\n

With computational thinking<\/strong>, business leaders and managers<\/strong> identify issues<\/strong>, see patterns in data <\/strong>and come up with effective solutions<\/strong>. Use sales figures<\/strong> to find out which items bring the highest revenue<\/strong> and then organize your inventory storage<\/strong> system accordingly. <\/p>\n\n\n\n

Computational thinking<\/strong> is so much required for inculcating<\/strong> an entrepreneurial mindset<\/strong>.<\/a>\r\n<\/p>\n\n\n\n

4. Agriculture<\/h3>\n\n\n\n

Farmers apply computational thinking<\/strong> to improve irrigation<\/strong>, determine the quantity of crops grown<\/strong> and watch over the soil\u2019s status<\/strong>. Data from drones and sensors<\/strong> is processed using algorithms<\/strong>. <\/p>\n\n\n\n

This is to set the best way to plant<\/strong> and predict when<\/strong> the crops <\/strong>will be harvested<\/strong>.<\/p>\n\n\n\n

5. Social Media and Curated Content<\/h3>\n\n\n\n

Computational thinking<\/strong> is used on Facebook, YouTube and Spotify <\/strong>through their recommendation algorithms<\/strong>. Personalized suggestions <\/strong>for rules are provided when they analyze users\u2019 actions <\/strong>and what they like.<\/p>\n\n\n\n

This is what 21K school also works<\/strong> on to provide<\/strong> personalised learning<\/strong><\/a>\r\n to each of their students.<\/p>\n\n\n\n

6. Transportation and Traffic<\/h3>\n\n\n\n

In cities, people use computational thinking<\/strong> to arrange traffic <\/strong>systems and organize the timetable for public transport<\/strong>. Optimal routes are set for bus or train <\/strong>through algorithms <\/strong>and traffic sensors<\/strong> ensure that traffic signals are adjusted<\/strong> accordingly.<\/p>\n\n\n\n

This type of thinking can benefit people apart from those in computer fields<\/strong>. <\/p>\n\n\n\n

Thanks to statistics,<\/strong> people from different walks of life can tackle difficult tasks<\/strong>, make logical judgments <\/strong>and address problems<\/strong>. <\/p>\n\n\n\n

Computational thinking<\/strong> is useful in healthcare, at work <\/strong>or when dealing with <\/strong>your own finances <\/strong>and projects. <\/p>\n\n\n\n

With many examples and practical uses<\/strong>, it is easy to see that computational thinking helps people manage the demanding problems<\/strong>.<\/p>\n\n\n\n

Computational Thinking and Problem Solving<\/h2>\n\n\n\n

The approach of computational thinking<\/strong> helps in solving various kinds of problems<\/strong>. In essence, computational thinking<\/strong> helps individuals tackle big problems by dividing them into smaller ones<\/strong>. <\/p>\n\n\n\n

Identifying consistent patterns, removing unwanted details <\/strong>and creating routines<\/strong> help people approach <\/strong>different problems more logically<\/strong>. <\/p>\n\n\n\n

For this reason, computational thinking is beneficial in many areas<\/strong>, supporting people in developing answers to tough challenges<\/strong>.<\/p>\n\n\n\n

This is how computational thinking <\/strong>helps to address issues<\/strong>:<\/p>\n\n\n\n

1. Problem Identification<\/h3>\n\n\n\n

The first thing<\/strong> to do when tackling a problem<\/strong> is to break it down <\/strong>into simple and easy-to-handle sections<\/strong>. If you have to complete a lengthy work project, organise the steps as research. <\/strong><\/p>\n\n\n\n

Carrying it out and gaining feedback <\/strong>will help you stay organized and relaxed<\/strong>. If you split the problem into easy parts<\/strong>, it\u2019s simpler to deal with challenges <\/strong>and give attention to only one thing<\/strong> at a time.<\/p>\n\n\n\n

2. Pattern Recognition<\/h3>\n\n\n\n

After seeing the parts of the problem<\/strong>, you can observe what is <\/strong>the same<\/strong>. And then, repeat the approaches<\/strong> that were successful in the past<\/strong>. <\/p>\n\n\n\n

For instance, pattern recognition<\/strong> allows one to look up familiar issues<\/strong>. And also the methods to solve them<\/strong>, making the process <\/strong>both quicker <\/strong>and more efficient<\/strong>.<\/p>\n\n\n\n

3. Abstraction<\/h3>\n\n\n\n

Abstraction<\/strong> enables people to neglect unnecessary details<\/strong> and concentrate on what really matters <\/strong>in the problem. When creating software<\/strong>, programmers use abstraction<\/strong> to only highlight <\/strong>the main elements<\/strong>. <\/p>\n\n\n\n

Then, further break the problem down<\/strong> to its essential points. Breaking up a problem <\/strong>at this step allows it to be more easily addressed<\/strong>.<\/p>\n\n\n\n

4. Algorithmic Design <\/h3>\n\n\n\n

The last step <\/strong>of the process is to design an algorithm<\/strong> that covers the sequence of steps needed to solve the problem<\/strong>. Using algorithms, people are able to apply their understanding <\/strong>and form<\/strong> an actual plan for execution<\/strong>. <\/p>\n\n\n\n

No matter if you need to create a software app<\/strong> or plan out a personal objective<\/strong>, algorithms guide<\/strong> you <\/strong>with their instructions.<\/p>\n\n\n\n

Following these guidelines<\/strong> in computing, individuals can find quicker solutions<\/strong> and be ready to solve problems<\/strong> that aren\u2019t always clear<\/strong>.<\/p>\n\n\n\n

Finding Balance Between Computational Thinking and Humanly Factors<\/h2>\n\n\n\n

It is well said that computational thinking <\/strong>is very efficient <\/strong>and clear<\/strong>. However, we should understand that it fails to cover certain aspects<\/strong> that are important to people<\/strong>. <\/p>\n\n\n\n

We are different from machines<\/strong> thanks to our judgment, empathy, creativity <\/strong>and intuition<\/strong>. And they will always matter in situations<\/strong> calling for emotional skills, good morals, <\/strong>and original solutions<\/strong>.<\/p>\n\n\n\n

Reason<\/strong> why we must balance computational thinking and human factors<\/strong>:<\/p>\n\n\n\n

1. Human Creativity and Intuition<\/h3>\n\n\n\n

Computational thinking is best <\/strong>applied to problems <\/strong>that have known in and outgoing data<\/strong>. Often, coming up with original ideas takes place<\/strong> where there is no obvious choice<\/strong>. <\/p>\n\n\n\n

When facts fail<\/strong>, creativity <\/strong>and a sense of intuition allow for new ways to find solutions<\/strong>. <\/p>\n\n\n\n

Whether it\u2019s making new products<\/strong> or creating artistic works<\/strong>, humans can do things that computers cannot by using their imagination<\/strong>.<\/p>\n\n\n\n

2. Empathy In Decision Making<\/h3>\n\n\n\n

In healthcare<\/strong>, schools <\/strong>and selling goods<\/strong>, showing empathy is essential<\/strong> and cannot be replaced <\/strong>by anything else. Computational models<\/strong> play a role in automating test procedures<\/strong>, making services more efficient <\/strong>and boosting the hospital\u2019s workflow. <\/p>\n\n\n\n

Yet they are not able to show the emotional touch<\/strong> that a human caregiver can give. For example, empathy<\/strong> is very important in mental health<\/strong>.<\/p>\n\n\n\n

And because of this patients cannot be supported<\/strong> or helped unless their feelings are understood<\/strong> by caregivers.<\/p>\n\n\n\n

3. Making Decisions Ethically <\/h3>\n\n\n\n

Although taking care of routine<\/strong> chores can be automated<\/strong>, the system still needs human oversight <\/strong>for moral reasons. If algorithms and logic have biased characteristics<\/strong>, machines can follow <\/strong>these errors by design<\/strong>. <\/p>\n\n\n\n

People <\/strong>should always be involved when making choices that rely on ethical, fair and moral principles<\/strong>. For example, in the justice system <\/strong>or during hiring<\/strong>. <\/p>\n\n\n\n

Even when a candidate doesn\u2019t have the documented certificates<\/strong> or legal proofs<\/strong>, a human intuition <\/strong>can give better judgements<\/strong>.<\/p>\n\n\n\n

4. Adaptability<\/h3>\n\n\n\n

Computers <\/strong>are able to work with what is planned<\/strong> for them. Yet humans <\/strong>are more flexible when facing situations<\/strong> they were not prepared for<\/strong>. <\/p>\n\n\n\n

It is crucial in these areas<\/strong>, since they are rapidly evolving <\/strong>and unpredictable events occur regularly<\/strong>. <\/p>\n\n\n\n

If we strive for an ideal <\/strong>kind of future<\/strong>, computational thinking will cooperate<\/strong> with our intuition<\/strong>. Putting along empathy <\/strong>and creativity to help us solve problems<\/strong> more efficiently. <\/p>\n\n\n\n

Though machines will surpass humans in rote job areas. <\/strong>Still, humans <\/strong>are still the best at making decisions<\/strong> and thinking for jobs that need attention, feelings and unpredictability<\/strong>.<\/p>\n\n\n\n

The Future of Computational Thinking<\/h2>\n\n\n\n

Computational thinking<\/strong> is set to have<\/strong> a particularly promising future<\/strong>. Over time, computational thinking will play a greater role in our lives<\/strong> both at work <\/strong>and at home<\/strong>.<\/p>\n\n\n\n

And not only for those working in the tech industry<\/strong>. This is what you can expect from the future of computational thinking<\/strong>:<\/p>\n\n\n\n

1. Extensive Integration into Education<\/h3>\n\n\n\n

As soon as digital literacy becomes <\/strong>more valued in teaching<\/strong>, computational thinking<\/strong> will be added to all levels of education<\/strong>. AI <\/strong>will not only <\/strong>be found in computer science<\/strong>, but also in social sciences, business, healthcare <\/strong>and the arts<\/strong>. <\/p>\n\n\n\n

Once students grasp computational thinking<\/strong>, they will learn to solve problems<\/strong> in a step-by-step manner. And this will help them become critical thinkers<\/strong> in every field.<\/p>\n\n\n\n

2. AI and Automation<\/h3>\n\n\n\n

As AI grows<\/strong>, having strong computational thinking<\/strong> skills will help in <\/strong>the process of designing <\/strong>and supporting AI<\/strong>. People in <\/strong>the future <\/strong>should be aware of <\/strong>both the operations <\/strong>and the ethics of algorithms<\/strong> in practical circumstances<\/strong>. <\/p>\n\n\n\n

Consequently, there will be a greater need for those<\/strong> who can connect their knowledge of technology with social responsibility in AI<\/strong>.<\/p>\n\n\n\n

3. Cross-Disciplinary Innovation<\/h3>\n\n\n\n

Coming years of computational thinking<\/strong> will involve close partnerships with experts from different areas<\/strong>. To cope with complex, related problems, biotechnology, environmental science <\/strong>and robotics<\/strong> will need to use computational thinking<\/strong>. <\/p>\n\n\n\n

Introducing computational thinking <\/strong>into healthcare, renewable energy, transportation<\/strong> and similar fields will result in new <\/strong>and exciting innovations<\/strong>.<\/p>\n\n\n\n

4. Democratization of Technology<\/h3>\n\n\n\n

Because of democratization of technology<\/strong>, non-technical individuals <\/strong>will be able to engage in and shape various advancements<\/strong> in technology. There are easier tools to write code, automate work <\/strong>and analyze data<\/strong>. <\/p>\n\n\n\n

Both teachers and entrepreneurs<\/strong> will join the digital economy<\/strong>. This will lead to an increase in demand for people<\/strong> with computational thinking abilities<\/strong>.<\/p>\n\n\n\n

Overall, the future of CT<\/strong> lies in making sure that people are prepared to use<\/strong> and benefit from important technologies<\/strong>. <\/p>\n\n\n\n

Because computational thinking<\/strong> is everywhere<\/strong>, it will be important for finding solutions<\/strong> and for navigating <\/strong>the digital world<\/strong> in general.<\/p>\n\n\n\n

Conclusion<\/h2>\n\n\n\n

Being able to solve problems<\/strong> in a logical system is important<\/strong> nowadays. And for this, computational thinking<\/strong> helps in various fields <\/strong>and common situations<\/strong>. <\/p>\n\n\n\n

Computational thinking <\/strong>gains advantage by simplifying tough problems, finding repeating ideas, removing unneeded aspects<\/strong> and forming algorithms<\/strong>. <\/p>\n\n\n\n

Since technology<\/strong> is developing rapidly<\/strong>, including <\/strong>it in school curriculum is necessary<\/strong> to prepare <\/strong>the next generation for <\/strong>their careers<\/strong>. <\/p>\n\n\n\n

Computational thinking supports human understanding<\/strong> and creativity <\/strong>by increasing the likelihood of improving innovation <\/strong>and choosing <\/strong>the right way forward<\/strong>. The importance of computational thinking<\/strong> is increasing as it helps people work with the challenges <\/strong>brought by <\/strong>the digital era<\/strong>.<\/p>\n","protected":false},"excerpt":{"rendered":"

Today, since our world is becoming more digital, figuring out solutions through critical thinking is crucial. It can be seen… Read More<\/a><\/p>\n","protected":false},"author":35,"featured_media":7751,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[29],"tags":[],"class_list":["post-7750","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-skills"],"acf":[],"yoast_head":"\nComputational Thinking: A Key Skill for the Future<\/title>\n<meta name=\"description\" content=\"Did you know that computational thinking is an algorithmic form of problem-solving? Discover everything about computational thinking here.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Computational Thinking: A Key Skill for the Future\" \/>\n<meta property=\"og:description\" content=\"Did you know that computational thinking is an algorithmic form of problem-solving? Discover everything about computational thinking here.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.21kschool.com\/bd\/blog\/computational-thinking\/\" \/>\n<meta property=\"og:site_name\" content=\"21K School Bangladesh\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/21Kschool\/\" \/>\n<meta property=\"article:published_time\" content=\"2025-05-29T02:20:54+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-08-07T02:45:15+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.21kschool.com\/bd\/wp-content\/uploads\/sites\/27\/2025\/05\/Computational-Thinking-Upskilling-Future.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1000\" \/>\n\t<meta property=\"og:image:height\" content=\"500\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Anshu Kumari\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@21kschool\" \/>\n<meta name=\"twitter:site\" content=\"@21kschool\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Anshu Kumari\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"17 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/www.21kschool.com\/bd\/blog\/computational-thinking\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/www.21kschool.com\/bd\/blog\/computational-thinking\/\"},\"author\":{\"name\":\"Anshu Kumari\",\"@id\":\"https:\/\/www.21kschool.com\/bd\/#\/schema\/person\/554dc101e9a6936c8916c1d09282d61f\"},\"headline\":\"Computational Thinking: A Key Skill for the Future\",\"datePublished\":\"2025-05-29T02:20:54+00:00\",\"dateModified\":\"2025-08-07T02:45:15+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/www.21kschool.com\/bd\/blog\/computational-thinking\/\"},\"wordCount\":3811,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/www.21kschool.com\/bd\/#organization\"},\"image\":{\"@id\":\"https:\/\/www.21kschool.com\/bd\/blog\/computational-thinking\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.21kschool.com\/bd\/wp-content\/uploads\/sites\/27\/2025\/05\/Computational-Thinking-Upskilling-Future.png\",\"articleSection\":[\"Skills\"],\"inLanguage\":\"en-BD\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/www.21kschool.com\/bd\/blog\/computational-thinking\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.21kschool.com\/bd\/blog\/computational-thinking\/\",\"url\":\"https:\/\/www.21kschool.com\/bd\/blog\/computational-thinking\/\",\"name\":\"Computational Thinking: A Key Skill for the Future\",\"isPartOf\":{\"@id\":\"https:\/\/www.21kschool.com\/bd\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/www.21kschool.com\/bd\/blog\/computational-thinking\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/www.21kschool.com\/bd\/blog\/computational-thinking\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.21kschool.com\/bd\/wp-content\/uploads\/sites\/27\/2025\/05\/Computational-Thinking-Upskilling-Future.png\",\"datePublished\":\"2025-05-29T02:20:54+00:00\",\"dateModified\":\"2025-08-07T02:45:15+00:00\",\"description\":\"Did you know that computational thinking is an algorithmic form of problem-solving? Discover everything about computational thinking here.\",\"breadcrumb\":{\"@id\":\"https:\/\/www.21kschool.com\/bd\/blog\/computational-thinking\/#breadcrumb\"},\"inLanguage\":\"en-BD\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/www.21kschool.com\/bd\/blog\/computational-thinking\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-BD\",\"@id\":\"https:\/\/www.21kschool.com\/bd\/blog\/computational-thinking\/#primaryimage\",\"url\":\"https:\/\/www.21kschool.com\/bd\/wp-content\/uploads\/sites\/27\/2025\/05\/Computational-Thinking-Upskilling-Future.png\",\"contentUrl\":\"https:\/\/www.21kschool.com\/bd\/wp-content\/uploads\/sites\/27\/2025\/05\/Computational-Thinking-Upskilling-Future.png\",\"width\":1000,\"height\":500},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/www.21kschool.com\/bd\/blog\/computational-thinking\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/www.21kschool.com\/bd\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Computational Thinking\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/www.21kschool.com\/bd\/#website\",\"url\":\"https:\/\/www.21kschool.com\/bd\/\",\"name\":\"21K School\",\"description\":\"Where Every Learner Finds their Path\",\"publisher\":{\"@id\":\"https:\/\/www.21kschool.com\/bd\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/www.21kschool.com\/bd\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-BD\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/www.21kschool.com\/bd\/#organization\",\"name\":\"21K School\",\"url\":\"https:\/\/www.21kschool.com\/bd\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-BD\",\"@id\":\"https:\/\/www.21kschool.com\/bd\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/www.21kschool.com\/bd\/wp-content\/uploads\/sites\/27\/2024\/11\/logo.png\",\"contentUrl\":\"https:\/\/www.21kschool.com\/bd\/wp-content\/uploads\/sites\/27\/2024\/11\/logo.png\",\"width\":300,\"height\":93,\"caption\":\"21K School\"},\"image\":{\"@id\":\"https:\/\/www.21kschool.com\/bd\/#\/schema\/logo\/image\/\"},\"sameAs\":[\"https:\/\/www.facebook.com\/21Kschool\/\",\"https:\/\/x.com\/21kschool\",\"https:\/\/www.instagram.com\/21kschool\/\",\"https:\/\/www.linkedin.com\/company\/21kschool\/\",\"https:\/\/www.youtube.com\/channel\/UCPhYXA-sgPSFInHXhf8J3pw\"]},{\"@type\":\"Person\",\"@id\":\"https:\/\/www.21kschool.com\/bd\/#\/schema\/person\/554dc101e9a6936c8916c1d09282d61f\",\"name\":\"Anshu Kumari\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-BD\",\"@id\":\"https:\/\/www.21kschool.com\/bd\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/5b2e6b50512e3b7f14d0a2c550d761f8?s=96&d=mm&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/5b2e6b50512e3b7f14d0a2c550d761f8?s=96&d=mm&r=g\",\"caption\":\"Anshu Kumari\"},\"description\":\"Anshu Kumari holds a graduate degree in psychology while pursuing writing as her freelance profession. She has more han one year of experience in content writing. She dedicates her time to reading philosophy together with managing her new poetry collection.\",\"sameAs\":[\"https:\/\/www.linkedin.com\/in\/anshu-kashyap-2a46a0220\"],\"url\":\"https:\/\/www.21kschool.com\/bd\/author\/anshu-kumari\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Computational Thinking: A Key Skill for the Future","description":"Did you know that computational thinking is an algorithmic form of problem-solving? Discover everything about computational thinking here.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"og_locale":"en_US","og_type":"article","og_title":"Computational Thinking: A Key Skill for the Future","og_description":"Did you know that computational thinking is an algorithmic form of problem-solving? Discover everything about computational thinking here.","og_url":"https:\/\/www.21kschool.com\/bd\/blog\/computational-thinking\/","og_site_name":"21K School Bangladesh","article_publisher":"https:\/\/www.facebook.com\/21Kschool\/","article_published_time":"2025-05-29T02:20:54+00:00","article_modified_time":"2025-08-07T02:45:15+00:00","og_image":[{"width":1000,"height":500,"url":"https:\/\/www.21kschool.com\/bd\/wp-content\/uploads\/sites\/27\/2025\/05\/Computational-Thinking-Upskilling-Future.png","type":"image\/png"}],"author":"Anshu Kumari","twitter_card":"summary_large_image","twitter_creator":"@21kschool","twitter_site":"@21kschool","twitter_misc":{"Written by":"Anshu Kumari","Est. reading time":"17 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/www.21kschool.com\/bd\/blog\/computational-thinking\/#article","isPartOf":{"@id":"https:\/\/www.21kschool.com\/bd\/blog\/computational-thinking\/"},"author":{"name":"Anshu Kumari","@id":"https:\/\/www.21kschool.com\/bd\/#\/schema\/person\/554dc101e9a6936c8916c1d09282d61f"},"headline":"Computational Thinking: A Key Skill for the Future","datePublished":"2025-05-29T02:20:54+00:00","dateModified":"2025-08-07T02:45:15+00:00","mainEntityOfPage":{"@id":"https:\/\/www.21kschool.com\/bd\/blog\/computational-thinking\/"},"wordCount":3811,"commentCount":0,"publisher":{"@id":"https:\/\/www.21kschool.com\/bd\/#organization"},"image":{"@id":"https:\/\/www.21kschool.com\/bd\/blog\/computational-thinking\/#primaryimage"},"thumbnailUrl":"https:\/\/www.21kschool.com\/bd\/wp-content\/uploads\/sites\/27\/2025\/05\/Computational-Thinking-Upskilling-Future.png","articleSection":["Skills"],"inLanguage":"en-BD","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/www.21kschool.com\/bd\/blog\/computational-thinking\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/www.21kschool.com\/bd\/blog\/computational-thinking\/","url":"https:\/\/www.21kschool.com\/bd\/blog\/computational-thinking\/","name":"Computational Thinking: A Key Skill for the Future","isPartOf":{"@id":"https:\/\/www.21kschool.com\/bd\/#website"},"primaryImageOfPage":{"@id":"https:\/\/www.21kschool.com\/bd\/blog\/computational-thinking\/#primaryimage"},"image":{"@id":"https:\/\/www.21kschool.com\/bd\/blog\/computational-thinking\/#primaryimage"},"thumbnailUrl":"https:\/\/www.21kschool.com\/bd\/wp-content\/uploads\/sites\/27\/2025\/05\/Computational-Thinking-Upskilling-Future.png","datePublished":"2025-05-29T02:20:54+00:00","dateModified":"2025-08-07T02:45:15+00:00","description":"Did you know that computational thinking is an algorithmic form of problem-solving? Discover everything about computational thinking here.","breadcrumb":{"@id":"https:\/\/www.21kschool.com\/bd\/blog\/computational-thinking\/#breadcrumb"},"inLanguage":"en-BD","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.21kschool.com\/bd\/blog\/computational-thinking\/"]}]},{"@type":"ImageObject","inLanguage":"en-BD","@id":"https:\/\/www.21kschool.com\/bd\/blog\/computational-thinking\/#primaryimage","url":"https:\/\/www.21kschool.com\/bd\/wp-content\/uploads\/sites\/27\/2025\/05\/Computational-Thinking-Upskilling-Future.png","contentUrl":"https:\/\/www.21kschool.com\/bd\/wp-content\/uploads\/sites\/27\/2025\/05\/Computational-Thinking-Upskilling-Future.png","width":1000,"height":500},{"@type":"BreadcrumbList","@id":"https:\/\/www.21kschool.com\/bd\/blog\/computational-thinking\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/www.21kschool.com\/bd\/"},{"@type":"ListItem","position":2,"name":"Computational Thinking"}]},{"@type":"WebSite","@id":"https:\/\/www.21kschool.com\/bd\/#website","url":"https:\/\/www.21kschool.com\/bd\/","name":"21K School","description":"Where Every Learner Finds their Path","publisher":{"@id":"https:\/\/www.21kschool.com\/bd\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.21kschool.com\/bd\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-BD"},{"@type":"Organization","@id":"https:\/\/www.21kschool.com\/bd\/#organization","name":"21K School","url":"https:\/\/www.21kschool.com\/bd\/","logo":{"@type":"ImageObject","inLanguage":"en-BD","@id":"https:\/\/www.21kschool.com\/bd\/#\/schema\/logo\/image\/","url":"https:\/\/www.21kschool.com\/bd\/wp-content\/uploads\/sites\/27\/2024\/11\/logo.png","contentUrl":"https:\/\/www.21kschool.com\/bd\/wp-content\/uploads\/sites\/27\/2024\/11\/logo.png","width":300,"height":93,"caption":"21K School"},"image":{"@id":"https:\/\/www.21kschool.com\/bd\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/21Kschool\/","https:\/\/x.com\/21kschool","https:\/\/www.instagram.com\/21kschool\/","https:\/\/www.linkedin.com\/company\/21kschool\/","https:\/\/www.youtube.com\/channel\/UCPhYXA-sgPSFInHXhf8J3pw"]},{"@type":"Person","@id":"https:\/\/www.21kschool.com\/bd\/#\/schema\/person\/554dc101e9a6936c8916c1d09282d61f","name":"Anshu Kumari","image":{"@type":"ImageObject","inLanguage":"en-BD","@id":"https:\/\/www.21kschool.com\/bd\/#\/schema\/person\/image\/","url":"https:\/\/secure.gravatar.com\/avatar\/5b2e6b50512e3b7f14d0a2c550d761f8?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/5b2e6b50512e3b7f14d0a2c550d761f8?s=96&d=mm&r=g","caption":"Anshu Kumari"},"description":"Anshu Kumari holds a graduate degree in psychology while pursuing writing as her freelance profession. She has more han one year of experience in content writing. She dedicates her time to reading philosophy together with managing her new poetry collection.","sameAs":["https:\/\/www.linkedin.com\/in\/anshu-kashyap-2a46a0220"],"url":"https:\/\/www.21kschool.com\/bd\/author\/anshu-kumari\/"}]}},"_links":{"self":[{"href":"https:\/\/www.21kschool.com\/bd\/wp-json\/wp\/v2\/posts\/7750","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.21kschool.com\/bd\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.21kschool.com\/bd\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.21kschool.com\/bd\/wp-json\/wp\/v2\/users\/35"}],"replies":[{"embeddable":true,"href":"https:\/\/www.21kschool.com\/bd\/wp-json\/wp\/v2\/comments?post=7750"}],"version-history":[{"count":1,"href":"https:\/\/www.21kschool.com\/bd\/wp-json\/wp\/v2\/posts\/7750\/revisions"}],"predecessor-version":[{"id":9361,"href":"https:\/\/www.21kschool.com\/bd\/wp-json\/wp\/v2\/posts\/7750\/revisions\/9361"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.21kschool.com\/bd\/wp-json\/wp\/v2\/media\/7751"}],"wp:attachment":[{"href":"https:\/\/www.21kschool.com\/bd\/wp-json\/wp\/v2\/media?parent=7750"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.21kschool.com\/bd\/wp-json\/wp\/v2\/categories?post=7750"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.21kschool.com\/bd\/wp-json\/wp\/v2\/tags?post=7750"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}