| Title |
Design Strategy of AI Education System based on CT-EL in Hybrid Learning Environment |
| Authors |
홍미선(Misun Hong) ; 조정원(Jungwon Cho) |
| DOI |
https://doi.org/10.5370/KIEEP.2023.72.1.1 |
| Keywords |
AI education; AI education system; Computational thinking; Experiential learning; Hybrid learning |
| Abstract |
We propose an educational design strategy to enhance the effectiveness of experiential learning-based artificial intelligence education to improve computer thinking skills in a hybrid learning environment. We also present four learning experiences (real life problem solving experience, reflective thinking experience, collaborative problem solving experience, AI training experience) that fit the principles of experiential learning (the principle of continuity and the principle of interaction) were developed based on the 4P-based AI education system. experience AI training experience). We present four detailed functions for each hybrid learning element (subject knowledge, interaction, hybrid map design, and hybrid class management) presenting a teaching strategy on how to apply hybrid learning elements at each stage of 4P AI education. Therefore compared to general AI education and CT-EL education, CT-EL AI education in hybrid learning environment was found to be a more suitable education method for learning experience selection and learning performance evaluation than CT-EL AI education. Through this, artificial intelligence education is expected to be systematically operated based on learning experiences and the effectiveness of artificial intelligence education in a hybrid environment is expected to increase. |