Podcast
Early Human Adaptation in Algorithms
Students explore how early humans adapted to different environments by simulating the problem-solving process through computational thinking. Students will break down the complex issue of human adaptation into smaller subproblems—such as food sourcing, shelter building, and tool-making. Working in groups, they will use flowcharts to map out how early humans approached each challenge, applying logic and sequencing to represent how one solution might influence another. For example, how the invention of tools led to better hunting practices, which affected food storage and shelter.
By focusing on abstraction and decomposition, students will recognize how similar computational strategies are used today to solve problems in technology and other areas.
Objective:
Students will decompose the problem of human adaptation into key components and create flowcharts that model how early humans solved challenges related to survival in their environments.
Materials Needed:
Poster paper and markers
Pre-printed cards with adaptation challenges (e.g., food, shelter, tools)
Steps:
Introduction:
Begin by explaining how early humans faced a series of environmental challenges and how these challenges can be broken down into smaller problems, similar to the way programmers break down problems in coding.
Group Activity:
Assign each group a specific region and ask them to identify three key survival challenges (e.g., food, water, shelter).
Using flowcharts, students will model the step-by-step decisions early humans would have made to overcome each challenge.
Decomposition:
Guide students to decompose each challenge further by asking probing questions (e.g., "What happens first when building a shelter?").
Encourage them to think of each step as a building block in their flowchart.
Presentation and Reflection:
Each group presents their flowchart, explaining how early humans solved each challenge.
Discuss similarities in the problem-solving process across groups and draw connections to how modern computational thinking helps solve complex problems.
Equity and Access:
Provide flowchart templates and pre-defined problems to assist students who may struggle with open-ended tasks. Group students with varying strengths to ensure collaboration and shared problem-solving.
Real-World Application:
Connect early human adaptation to modern problem-solving strategies in urban development and resource management, highlighting how breaking down problems into smaller parts leads to more effective solutions.
CS Practice(s):
Recognizing and Defining Computational Problems: Students break down complex adaptation issues into manageable parts and identify solutions.
Developing and Using Abstractions: Students use flowcharts to abstract and represent the problem-solving processes of early humans.
Standard(s):
CA HSS 6.1
CA HSS 6-8.AP.10
Designing a Game to Simulate Early Human Survival
Students will use Microsoft’s MakeCode Arcade to create a simple game that simulates how early humans adapted to their environment. Working in small teams, students will identify key survival tasks, such as finding food, building shelter, and evading predators, and translate these into game mechanics. Using MakeCode’s block-based interface, they will program the player character to perform survival tasks, like collecting food or building shelters. Along the way, students will test and refine their code, ensuring the game logic aligns with how early humans solved real-world problems.
By incorporating computational thinking skills, they will gain a deeper understanding of how early humans overcame challenges and the process of game development.
Objective:
Students will create a basic survival-themed game using MakeCode Arcade, Scratch, or another coding platform, applying computational thinking to simulate early human adaptation challenges.
Materials Needed:
Computers or tablets
Scratch paper for initial game design planning
Steps:
Introduction:
Students explore the concept of early human survival and how it can be simulated using computational models.
Explain that students will use a coding platform to create a game where a player navigates challenges like gathering food or avoiding predators.
Game Planning:
Students will start by brainstorming the key challenges early humans faced (e.g., food, shelter, predators).
In groups, they will sketch out their game on paper, deciding how to represent these challenges through game mechanics.
Building the Game:
Students will design a game where the player controls a character who must perform tasks like collecting food or building shelter.
They will use block-based coding to program the character's movements, actions, and interactions with objects.
Testing and Refining:
After building their game, students will playtest it, looking for bugs or challenges in the gameplay.
They will iteratively refine their game logic to ensure it accurately reflects the survival tasks early humans would have faced.
Presentation:
Students will present their games to the class, explaining the coding logic behind their game and how it simulates early human adaptation.
They will discuss any challenges they faced in coding and how they overcame them.
Equity and Access:
Provide pre-designed assets and simplified coding templates for students who may need extra support. Encourage peer collaboration by pairing students with varying coding skills.
Real-World Application:
Discuss how games are often used to simulate real-world scenarios, like resource management or survival strategies. Connect this to modern simulation games or even training programs used in urban planning or environmental studies.
CS Practice(s):
Creating Computational Artifacts: Students create a playable game using a coding platform that models early human survival.
Testing and Refining Computational Artifacts: Students test and refine their game by identifying issues in gameplay and fixing bugs.
Standard(s):
CA HSS 6.1
CA CS 6-8.AP.12
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