add multiple datasets in categorizations
Categorization activity
Goal: Learn to categorize
MultipleData1: 3 star Goal: Familiar activities with 1 option, put together all the elements from a category with score.
This dataset will have categories with very familiar concepts.
Eg:
- Category 1: Colors.
- Category 2: Animals.
- Category 3: Food.
- Category 4: Alphabets.
- Category 5: Numbers.
- Category 6: Birds.
MultipleData2: 4 star Goal: Less familiar categories with 2 options, put together all the elements from a category with score and without score.
This dataset will have categories with less familiar concepts.
Eg:
- Category 1: Vegetables.
- Category 2: Shapes.
- Category 3: Flowers.
- Category 4: Fruits.
- Category 5: Living.
- Category 6: Nature.
- Category 7: Insects.
- Category 8: Fishes.
MultipleData3: 5 star
Goal: Abstract activities with 3 options, put together all the elements from a category with score, without score and without model. This dataset will have categories with abstract concepts.
Eg:
- Category 1: Household goods.
- Category 2: Monuments.
- Category 3: Renewable.
- Category 4: Transport.
- Category 5: Odd even numbers.
- Category 6: Tools.