Algorithmic thinking activities

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Algorithmic thinking activities

The need to prepare students for the future of work is now imperative. Computational thinking enables us to solve any given challenge through an analytical and methodical approach. Put simply, computational thinking teaches students to process information like a computer would. It guides students through a series of steps, similar to an algorithm, to solve open-ended problems. While computation governs the world around us, computational thinking as a teaching and learning framework is a new concept for many educators.

Some of these platforms begin at basic levels and can be utilized by beginners as young as preschool age, while others provide interactive experiences that utilize diverse computational thinking strategies suitable for middle school and high school grade levels.

Lesson Plan: Algorithmic Thinking

This library offers lesson plans, activities and videos that will help students integrate their understanding of computer science principles with other subjects. These resources are free and do not require a login to download. These datasets are great resources for predictive modeling and charting trends over time.

Students can explore anything from economic growth to the spread of viruses on this free website. It allows participants to go at their own pace and is free of charge. Students have the opportunity to design, publish and play their own games in a safe, moderated environment. Students analyze the games they create through their own observations and feedback and then revisit code to design toward a solution. Collecting data is a critical step in the computational thinking process for students to identify problems and solutions.

Its easy-to-use interface integrates easily with most classroom computing equipment and the smartphone application allows students to use their own devices to participate in polling exercises. By using a drag-and-drop block style, students can create animations, games and simulations without any previous knowledge of computer programming.

The free website includes curriculum guides and an online community with meetups, tips and tutorials for parents and teachers. This online platform makes it easy to integrate 3D modeling into your classroom as students have the option to tweak and refine existing models instead of designing from scratch. By looking through these databases, students can develop an understanding of how computers recognize patterns and get better at sorting data over time.

Students will see the far-reaching applications of machine learning and can practice abstraction by categorizing the information in these diverse sets. This special search engine shows how computational thinking can help us decompose information in order to find the best solutions to problems.

With the help of these resources, students will be deciphering problems and forming solutions in no time. By teaching students to solve problems using this technical mindset, we are preparing them for bright futures where they can combine creativity with computational thinking for ultimate innovation and success.

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Unplugged - Real-Life Algorithms: Dice Game

Technology and Equity in Linguistically Diverse Classrooms. Podcast: Dan Gohl on Leading in Crisis. Living on Curves. Please enter your comment! Please enter your name here.

You have entered an incorrect email address! Phone Fax Contact us: info gettingsmart. Services Speaking Engagements Partners Interested in working with us?Antonia Plerou, Panayiotis Vlamos. American Journal of Applied Psychology. Abstract: Learning difficulties research within the frame of dyscalculia has proceeded so far, nevertheless, they seem to fail in providing an overall conceptual map of the deficit. This paper objective is to propose a new classification in reference to dyscalculia features noticed at various ages.

Although, there are several approaches on dyscalculia features, algorithmic thinking ability deficits are not taken into consideration. Authors focus on problem solving and algorithmic thinking difficulties within the frame of dyscalculia. During last decades the challenge to describe difficulties in mathematical perception has risen. This paper deals with dyscalculia conceptual mapping and focuses on algorithmic thinking difficulties.

Dyscalculia could be noticed on early age while difficulties in quantities direct estimation, in counting, in arithmetical symbols recognition, and in spatial concept awareness are rising.

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Dyscalculia could be identified due to difficulties noted in visual perception, in spatial number organization, in basic mathematical functions and in mathematical problem solving in general. People dealing with dyscalculia present difficulties in mathematical induction logic, in Euclidean and Non-Euclidean Geometry concepts perception, in Algebra and in Calculus. Moreover, shortage while dealing with algorithmic tasks are noticed.

Related Work.

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Shalev et al, the sub-typing approach is mainly focused on potential coexisting reading disorders, number processing, and calculation difficulties and in the neuropsychological basis of dyscalculia.

However, within this sub-typing, the specific features of children with dyscalculia were not classified [ 1 ]. Dyscalculia is inferred initially as a persistent difficulty in learning or understanding number concepts, i.

Additionally, it is inferred to difficulties of perceiving counting principles, like finding the cardinality of a set and in counting numbers according to the basic number sequence. Finally, difficulties in arithmetic are referred, like troubles while solving simple arithmetic problems such as finger counting or recalling an answer. Authors also notice that dyscalculia should be evaluated overall, but this classification has not been analyzed in their work [ 2 ]. Karagiannakis et al used a multi-deficit neuro-cognitive approach and proposed a classification model describing four basic cognitive domains for mathematical learning difficulties, within which precise deficits may be included.

Dyscalculia Definition. Researchers note that people dealing with learning difficulties present also difficulties in mathematics [ 4 ]. Dyscalculia is a disorder linked to numerical skills and refers to acquiring abilities in mathematics and it is encompassed to the "Specific Learning Disabilities" category [ 5 ]. Children facing dyscalculia deal with difficulties in perceiving mathematics in addition to all interrelated aspects [ 6 ].

Conferring R.Watch this space for lots more puzzle-based activities. You are commenting using your WordPress. You are commenting using your Google account. You are commenting using your Twitter account. You are commenting using your Facebook account. Notify me of new comments via email. Notify me of new posts via email. This site uses Akismet to reduce spam.

Learn how your comment data is processed. In doing so find out what computational thinking is all about.

See how algorithms are at its heart, allowing computer scientists to solve a problem once and then, as long as they have checked it carefully, avoid having to think about it ever again.

Real-Life Algorithms: Paper Airplanes

Oh, and help a tourist guide at the same time. Learn about computational thinking, algorithmic thinking, evaluation, abstraction, data representation, generalisation and pattern matching, sequences of instructions, testing and requirements, graphs, graph algorithms and hamiltonian cycles. Computational Thinking: HexaHexaFlexagon Automata Make a red and yellow hexahexaflexagon by folding and gluing a multicoloured paper strip, following the algorithm. Once made you start to explore it.

As you fold it up and unfold it, you magically reveal new sides as the flexagon changes colour. To explore it fully, you need a map. A graph seems a good representation, which you create as you explore. Learn about graphs, graph exploration algorithms, finite state machines also called automataspecification, computational thinking, abstraction, data representation, computational modelling, generalisation and pattern matching, algorithmic thinking, evaluation, logical thinking.

Learn about algorithms, sequences of instructions, graphs, data representation, computational thinking, requirements. Magic: The Teleporting Robot Activity You put together a jigsaw that has 17 robots, but then put it together again and now it only has Learn about computational thinking, human-computer interaction, usability, designing to prevent error.

The Swap Puzzle Activity Solve a puzzle, coming up with an algorithm that your team can follow faster than anyone else. Sherlock Syllogisms Watch this space for lots more puzzle-based activities.Students will explore algorithm design by creating oral algorithms, giving instructions for other students to follow to duplicate a model supplied by the teacher.

Student-student interaction will foster community and help them analyze the effectiveness of their algorithms. Before students come to class: Using bricks, cards, tangrams or anything that can be arranged, create simple models to copy using the items; one for every four students. Warm-up Activity: Journaling toward algorithmic thinking. Activity 1: Algorithmic thinking.

Wrap-up Activity: Discussing algorithmic thinking. Activity Overview: In this activity, students will identify the key concepts in algorithm design. Discussion : Students respond to the following prompt in small or large groups:.

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Think about brushing your teeth. What steps do you go through each time you brush? How would you give step-by-step instructions to someone about how to brush their teeth?

Activity Overview: In this activity, students will use algorithm design to create an ordered series of instructions for solving a problem, and other students will follow the algorithm. Student-student interactions help them build peer-support networks and that foster a student-centered learning community. Refer to the the previously built models for this activity.

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Q2: Why is this type of activity representative of humans working with computers? A1: Simple, step-by-step, specific instructions. A2: Computers can only understand the exact instructions they have been given, even if the instructions are flawed. Activity Overview: In this activity, students will discuss the outcomes of the previous activities. Discussion : Encourage your students to have a discussion about the previous activities. LO1 : Students will be able to write a series of instructions for creating a model.

MP4 : Model with mathematics. CSTA L CSTA L2. LO2 : Students will be able to articulate some important strategies and possible pitfalls in writing algorithms.

MP3 : Construct viable arguments and critique the reasoning of others.

algorithmic thinking activities

MP2 : Reason abstractly and quantitatively. A series of instructions that can be repeated over and over with the same result for a given input e.

Creating an ordered series of instructions for solving similar problems.

Computational Thinking and CS Unplugged

Developed by the Exploring Computational Thinking team at Google and reviewed by K educators from around the world. Except as otherwise notedthe content of this document is licensed under the Creative Commons Attribution 4.

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algorithmic thinking activities

By logging in, you agree to our updated Terms and Policies. Resource Library Lessons By Grade.The world we live in has become a digital one, filled with technology and driven by Computer Science. Software and technology have transformed every subject and job area, from science and medicine, to art history and psychology.

Digital technology is ubiquitous. To be informed and empowered citizens, the next generation of students need to understand this digital world that they live in. It is critical to understanding how the digital world works, for harnessing the power of computers to solve tough problems, and making great things happen! It also enables us to think critically about not just the benefits of certain technologies, but also the potential harm, ethical implications, or unintended consequences of these.

Most of the time this 'agent' means a computer or other type of digital device - but it could also be a human! To represent solutions in a way that a computer can carry them out, we have to represent them as a step by step process - an algorithm. To create these algorithmic solutions we apply some special problem solving skills to.

These skill are what make up Computational Thinking! And they are skills that are transferrable to any field. Computational Thinking could be described as 'thinking like a Computer Scientist', but it is now an important skill for everyone to learn, whether they want to be a Computer Scientist or not!

You might think that we write programs for computers, but really we write programs for people - to help them communicate, find information, and solve problems.

For example, you might use an app on a smartphone to get directions to a friend's house; the app is an example of a computer program, and the smartphone is the "information processing agent" that runs the program for us. Whoever designed the algorithm for working out the best route, and all the details like the interface and how to store the map, applied computational thinking to design the system. But they didn't design it for the sake of the smartphone; they designed it to help the person using the smartphone.

These skills are transferable to any other curriculum area, but are particularly relevant to developing digital systems and solving problems using the capabilities of computers.

These Computational Thinking concepts are all connected to each other and support each other, but it's important to note that not all aspects of Computational Thinking will necessarily happen in every unit or lesson. In each unit and lesson we've highlighted the important connections for you to observe your students in action.

There are a number of definitions of Computational Thinking, but most have a set of 5 or 6 problem solving skills that Computational Thinking embodies. For the Unplugged project we've identified the following six CT skills that are often mentioned in the literature; they are described below, and at the end of each Unplugged lesson we've identified ways that these skills appeared in the lesson, to help you see the CT connection with the lessons.There are a lot of ways to think about problem solving.

This article will take on three of these that we are hearing more about recently: computational thinking, algorithmic thinking, and design thinking. While there are differences between each, they all blend critical thinking and creativity, follow iterative processes to formulate effective solutions, and help students embrace ambiguous and open-ended questions. So, without further ado….

Computational thinking is a set of skills and processes that enable students to navigate complex problems. The computational thinking process starts with data as the input and a quest to derive meaning and answers from it.

The output is not only an answer but a process for arriving at it. To be a map toward understanding, computational thinking plots the journey to ensure that the process can be replicated and others can learn from it and use it.

At this juncture, computational thinking often feeds into algorithmic thinking. Decomposition : Break the problem down into smaller, more manageable parts. Pattern Recognition : Analyze data and identify similarities and connections among its different parts.

Lesson Plan: Algorithmic Thinking

Abstraction : Identify the most relevant information needed to solve the problem and eliminate the extraneous details. Algorithmic Thinking : Develop a step-by-step process to solve the problem so that the work is replicable by humans or computers. Computational Thinking Examples Computational thinking is a multi-disciplinary tool that can be broadly applied in both plugged and unplugged ways. These are some examples of computational thinking in a variety of contexts.

Computational Thinking for Collaborative Classroom Projects To navigate the different concepts of computational thinking — decomposition, pattern recognition, abstraction, and algorithmic thinking — guided practice is essential for students. Computational Thinking for Data-Driven Instruction In this examplethe New Mexico School for the Arts sought a more defined process for using data to better inform decision-making across the school. To do so, they developed interim assessments that generate actionable data, but the process of mining the data for relevant information was incredibly cumbersome.

Expediting and improving the data analysis process, they designed a coherent process for analyzing the data quickly to find the most important information. This process can now be applied time and time again and has enabled them to tailor instructional planning to the needs of students. Computational Thinking for Journalism To measure gender stereotypes in films, Julia Silge, data scientist and author of Text Mining with Rcoalesced data from movie scripts.

Decomposing the problem, she specified that she would specifically look at the verb association with male and female pronouns in screen direction. By identifying patterns in sentence structure, Silge was able to measure and abstract data from these on a mass scale, which made the research possible.In this lesson, students will relate the concept of algorithms back to everyday real-life activities by making paper airplanes. The goal here is to start building the skills to translate real-world situations to online scenarios and vice versa.

This is a great time to review the last lesson that you went through with your class. We suggest you alternate between asking questions of the whole class and having students talk about their answers in small groups.

Finishing the review by asking about the students' favorite things helps to leave a positive impression of the previous exercise, increasing excitement for the activity that you are about to introduce.

Algorithm - Say it with me: Al-go-ri-thm A list of steps that you can follow to finish a task. You know your classroom best. As the teacher, decide if students should do this individually or if students should work in pairs or small groups. If deciding on the correct steps seems too difficult for your students, do that piece together as a class before you break up into teams.

algorithmic thinking activities

Use these activities to enhance student learning. They can be used as outside of class activities or other enrichment. Introductory and Wrap-Up suggestions can be used to delve deeper when time allows.

Lesson Overview In this lesson, students will relate the concept of algorithms back to everyday real-life activities by making paper airplanes. Assessment - 10 minutes 6 Daily Algorithms. Lesson Objectives Students will: Name various activities that make up their day Decompose large activities into a series of smaller events Arrange sequential events into their logical order.

Getting Started 15 min 1 Review This is a great time to review the last lesson that you went through with your class.

algorithmic thinking activities

Here are some questions that you can ask in review: What did we do last time? What do you wish we had had a chance to do? Did you think of any questions after the lesson that you want to ask?

What was your favorite part of the last lesson? Lesson Tip Finishing the review by asking about the students' favorite things helps to leave a positive impression of the previous exercise, increasing excitement for the activity that you are about to introduce.


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