The process of computational thinking typically includes four parts: decomposition, pattern recognition, abstraction and algorithmic thinking. Pattern recognition as part of computational thinking is the process of identifying patterns in a data set to categorize, process and resolve the information more ...
They solved problems using computational components, namely decomposition, pattern recognition, algorithm, abstraction, and debugging. Pattern recognition characteristics for solving the mathematics problem in computational thinking can be identified as follows: (1) understanding the problem by looking for ...
Timeless classic that must be read by all computer science majors. While some topics and the use of Scheme as the teaching language seems odd at first glance, the presentation of fundamental concepts such as abstraction, recursion, and modularity is so beautiful and insightful that you would neve...
Task descriptions have certain “boilerplate” parameters, as described in the subsections below. Other kinds of task sequence models are used to highlight user workflow. These include state diagrams, which are a kind of hybrid abstraction between a flow model and a task-sequence model that ...
There’s a flaw in that, though I generally agree with the hope. Science is still unable to study nature except in abstraction, representing nature as a theory of deterministic calculations. It’s been unable to use them to study 1) our own or nature’s great creativity, or 2) any indi...
In particular, the agent may employ diverse external tools to complete different tasks. However, tools have respective interfaces, which can be of different abstraction levels for the agent to deal with, or have specific format requirements, etc. Agent adapter can help invoke and manage these ...
The paper introduces the reader to the assurance case methodology and the 4 + 1 ethical principles, then presents their combination in the PRAISE argument pattern and describes this at a relatively high level of abstraction. It proceeds as follows. ...
This approach obviates the need for students to implement low level and often time-consuming agent behavior programming and yet, requires the use of abstraction, which is a key component of computational thinking. Initial data shows that students in the classroom can implement simulations faster ...
We present an approach facilitating exploration of long-term flow data by means of spatial and temporal abstraction. It involves a special way of data aggregation, which allows representing spatial situations by diagram maps instead of flow maps, thus reducing the intersections and occlusions ...
Data were collected through tests which were then analyzed based on indicators of computational thinking ability, namely problem decomposition, pattern recognition, algorithmic thinking, abstraction, and generalization. The results showed that students' computational thinking skills in solving number pattern ...