Animobile Adventures

Animobile Adventures is a science learning game developed with McGraw-Hill that focuses on how animal traits interact with environmental conditions. Players travel to different climates, analyze habitat challenges, and modify their vehicle with traits and behaviors suited to each environment.

Platform:
mobile
web
Subject:
science
Genre:
puzzle
Art:
2d
Release:
2016
Age:
young learners

Curriculum-aligned science learning games for young learners

Developed with McGraw-Hill, Animobile Adventures is a life science game that explores the relationship between biological adaptations and survival. Players navigate a customizable vehicle through diverse biomes, identifying specific environmental obstacles such as extreme temperatures or difficult terrain. By equipping the Animobile with physical traits and behavioral patterns inspired by real-world animals, learners test which combinations are most effective for specific habitats. This iterative process demonstrates how specialized adaptations allow organisms to thrive within their ecological niches.

Learning focus

Biological Adaptation, Habitat Analysis, Adaptive Traits, Evolutionary Pressures

GAME FEATURES

Explore diverse climates

Travel to global environments with distinct conditions and challenges.

Analyze habitat features

Evaluate environmental factors that affect survival.

Add adaptive traits

Modify the Animobile with behaviors and characteristics suited to conditions.

Overcome environmental obstacles

Apply selected traits to progress through each location.

Core Learning Outcomes:
  • Identify how traits support survival in specific environments
  • Analyze relationships between organisms and habitats
  • Explain how behaviors and adaptations address environmental challenges
  • Apply evidence to match traits with ecological contexts
Why This Project Matters

Understanding adaptation requires connecting organism traits to environmental pressures. Animobile Adventures helps learners build this understanding by engaging them in selecting and testing traits within varied ecological contexts.

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