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View AllSorry! Grade 7 Maths Learning Online by funtoot is sold out.
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System (Hardware/Software) Requirements |
|
Operating Software |
Windows/Mac/linux |
Processor |
Dual Core and above |
RAM |
1 GB |
Browser |
Any |
Recommended Internet Speed |
512Kbps |
One-on-one personal teaching is the oldest and the best way to learn for a child. funtoot - a personalized digital learning coach - behaves like an experienced tutor and guides the child through a unique learning journey for higher achievements.
funtoot creates a fun-filled learning path for each child by taking into account his/ her interests, aptitude, concept comprehension, topic performance and curricular progress. Like a personal coach funtoot provides real-time assistance based on the child's needs, encouraging learning through self-correction. It also motivates and rewards successful progression keeping the child engaged on the path to higher learning.
50,000+ students across schools in India are benefiting from our unique approach combining computing technology, cognitive psychology and pedagogy to create higher learning achievements in every child.
Course Curriculum (Structure):
funtoot for Grade 7 Mathematics covers the following topics,
1 Angles
2 Area and Perimeter
3 Concepts of Algebra
4 Data Handling
5 Decimal
6 Expansion and Factorisation
7 Exponents
8 Factors and Multiples
9 Fractions
10 Integers
11 Linear Equations
12 Nets and Visualization
13 Percentage
14 Polynomials
15 Probability
16 Ratio and Proportion
17 Real Numbers
18 Simple Interest
19 Triangles
20 Variation
21 Volume and Surface Area
Note:
1. Each Topic has multiple Subtopics
Benefits of the product:
1. Provides one on one Guidance.
2. Adapts to the child's IQ, Speed, Proficiency, and Interest.
3. Allows the Parent to assess their child's learning progress in real time.
4. Helps identify and reslove Learning Gaps.
5. Cost effective.
USP of the product:
Distinct learning path defined by Artifical Intelligence, Natural Language and Machine Learning
Technical Specifications of the product:
Artifical Intelligence,Natural Language Processing, Machine Learning.
To get more information, you may want to watch the video below
FAQs:
Here you can have a look at our frequently asked questions. We have put together some simple answers you may have, Click here to take a look!
Learn Everything, Anywhere, Anytime
India's Largest Online Education Marketplace
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