1. Basic Concept Questions
These questions aim to test foundational understanding and terminology, such as definitions, uses, and examples. Examples include multiple-choice questions on SQL syntax, Python data types, or key principles of OOP.
Challenge: Ensuring that these questions remain engaging and not too simplistic for learners with some background, while still accessible for beginners.
2. Application and Scenario-Based Questions
Application questions test learners' ability to use concepts in practical situations. For instance, in SQL, these might involve writing queries to fetch specific data sets or solve a problem, and in Python, implementing a function or method based on given specifications.
Challenge: Balancing the complexity to avoid overwhelming learners while encouraging logical thinking and applying knowledge in real-world situations.
3. Code Debugging and Optimization Questions
These involve spotting errors in code snippets or optimizing code for efficiency. Debugging questions are common in programming topics like Python and SQL.
Challenge: Crafting questions with subtle errors that encourage critical thinking without causing frustration, and ensuring errors are common enough to be relevant to real-world debugging scenarios.
4. Conceptual Comparison and Analysis Questions
These test deeper understanding by comparing different approaches or analyzing the suitability of various methods (e.g., comparing different sorting algorithms or database models).
Challenge: Formulating these questions in a way that goes beyond memorization, encouraging learners to evaluate trade-offs and explain their reasoning.
5. Advanced Case Studies and Real-World Problems
Advanced-level questions are based on real-world scenarios, often requiring multiple concepts to be applied together, like designing a small database schema or building a class hierarchy in Python.
Challenge: Crafting realistic scenarios that are detailed but not overly complex and providing enough information for learners to approach the problem logically.
Now you can also delve deep into questions that requires knowledge of present as well as past, however the answers lack practical experience and more based on the factual data that is available, similarly there are exciting possibilities with new design and development of upcoming LLMs.
