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e. Logical Reasoning

Logical reasoning involves analysing situations to make a decision or reach a
conclusion about a situation. An example of logical and analytical thinking might
involve analysing whether to buy car A or car B (Figure 6). Some available data,
information or knowledge will help to make a better decision. For example, information
on the monthly income and expenses as well as knowledge on the re-sell value of the
car will definitely help in making a “need” rather than a “want” decision. As part of CT
competency development, computational thinkers must build analytical thinking skills
by working on logical puzzles and problem-solving scenarios.

Figure 6: An Example of Logical Reasoning Application

f. Evaluation

Evaluation goes hand-in-hand with several of the elements of CT described above.
Solutions to problems in the form of algorithms or abstractions in the form of programs,
models or simulations must be evaluated for correctness and appropriateness based
on the goal as well as constraints. While it involves analysis and analytical thinking,
the idea of evaluation is grander. Solutions to problems are evaluated for accuracy
and correctness with respect to the desired result or goal (Grover & Pea, 2017).

ii. Computational Practices (the practices designers develop as they engage with
the concepts, e.g. debug)

Computational practices will be carried out by CT RBT participants through:

a. Unplugged Activities

These are activities that can be implemented to help participants practise CT skills
without the needs to use any electronic gadgets or devices. These unplugged activites
have been arrangged based on the CT concepts introduced, e.g. algorithm,