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A Study on the PBL-based AI Education for Computational Thinking  

Choi, Min-Seong (Division of Computer, Dongseo University)
Choi, Bong-Jun (College of Software Convergence, Dongseo University)
Publication Information
Journal of the Institute of Convergence Signal Processing / v.22, no.3, 2021 , pp. 110-115 More about this Journal
Abstract
With the era of the 4th Industrial Revolution, education on artificial intelligence is one of the important topics. However, since existing education is aimed at knowledge, it is not suitable for developing the active problem-solving ability and AI utilization ability required by artificial intelligence education. To solve this problem, we proposes PBL-based education method in which learners learn in the process of solving the presented problem. The problem presented to the learner is a completed project. This project consists of three types: a classification model, the training data of the classification model, and the block code to be executed according to the classified result. The project works, but each component is designed to perform a low level of operation. In order to solve this problem, the learners can expect to improve their computational thinking skills by finding problems in the project through testing, finding solutions through discussion, and improving to a higher level of operation.
Keywords
PBL; AI Education; Computational Thinking; Autonomous Driving; Image Classification;
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