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Knowledge Tests
Knowledge tests are designed to gauge a user's understanding of fundamental, technical, and practical knowledge within a given skill.
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Structure of a Knowledge Test
Each knowledge test consists of three types of multiple-choice questions:
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1. Conceptual Questions
These questions assess the user's understanding of the core concepts of a skill. They are language-agnostic and focus on theoretical knowledge.
Example:
What's the efficiency of the membership operation of a dictionary in python? (eg: `"a" in my_dict`)
- O(1) # correct
- O(n)
- O(log n)
- O(n ** 2)
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2. Syntactical Questions
These questions test the user's knowledge of syntax used in coding. They are specific to programming languages and help evaluate familiarity with code structure and rules.
Example:
In `pd.merge`, what's the name of the parameter used to specify the type of merge that will be performed (`inner`, `outer`, etc)?
- `how=` # correct
- `join=`
- `on=`
- `inner=`What's the name of the Scikit Learn function used to separate testing and training data?
- `train_test_split` # correct
- `test_split_train`
- `split_train_test`
- `split_test_train`
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3. Scenario-Based Questions
These questions present a real-world scenario with associated dummy data. They simulate practical applications of the skill, requiring users to apply their knowledge in realistic situations.
Example:
Suppose you have two dataframes, `movies` and `directors` with the following structures:
movies:
movie_id | title | director_id
------------------------------------
819 | Top Gun | 3
133 | Man on Fire | 3
directors:
id(*) | name | nationality
-----------------------------------
91 | Tony Scott | US
12 | Ridley Scott | US
How should we merge them to achieve the following result:
movie_id | title | director_name | director_nationality
--------------------------------------------------------------
819 | Top Gun | Tony Scott | US
133 | Man on Fire | Tony Scott | US
- `movies.merge(directors, how='left', left_on='director_id', right_index=True)` # correct
- `movies.merge(directors, how='outer', left_on='director_id', right_index=True)`
- `movies.merge(directors, how='outer', left_on='director_id', right_on='id')`
- `directors.merge(movies, how='outer', left_on='director_id', right_on='id')`
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Guidelines for Creating Questions
When designing knowledge test questions, follow these rules:
- One or more options may be correct.
- Each question must be relevant to the skill being tested.
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Example Questions & Structure
Examples of different question types and the english.md structure can be found in this repository: Intro to Pandas for Data Analysis - Knowledge Test
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Structure of english.md
Each question type is documented on a separate page, with relevant activities written within those pages. Below is the general structure:
<page id="" name="Conceptual Questions">
<!-- Activities related to conceptual questions -->
</page>
<page id="" name="Syntactical Questions">
<!-- Activities related to syntax-based questions -->
</page>
<page id="" name="Scenario Questions">
<!-- Activities related to scenario-based questions -->
</page>