Brain, Digital, & Learning

 Open access, Peer Reviewed

Indexed in KCI

pISSN 2384-2474
eISSN 2586-7490

RESEARCH ARTICLE

Development of Teaching and Learning Model for Biology Class using Artificial Intelligence

Samcheok High School

First Author : jhbyeon77@gmail.com

Brain, Digital, & Learning. Volume 12, Number 1, 51–67, March 2022. https://doi.org/10.31216/BDL.20220004
Received on March 10, 2022, Revised on March 16, 2022, Accepted on March 16, 2022, Published on March 31, 2022.
Copyright © 2022. Institute of Brain based Education, Korea National University of Education This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Artificial intelligence was used in various fields, it is widely focused on education recently. Appropriate teaching and learning strategies are necessary for the application of artificial intelligence to science education, however, there is in poor one to able to use by the teacher. Therefore, the purpose of this study was focused on the generation of appropriate teaching and learning model for biology class using artificial intelligence. Also, the researcher investigated the effect of the learning model for affective domain on high school students according to the application of the learning program. As a result of this study, the researcher could develop the teaching and learning model of biology education using artificial intelligence by theoretical review, and composed a learning program for application in class. According to the result of analysis for the effect of the affective domain, the level of learning motivation, task commitment, and attitude for artificial intelligence on post-test significantly increased more than the result of the pre-test. Consequently, it could be checked that the teaching and learning model of biology learning using artificial intelligence can cause a positive effect on the student’s learning.
Keywords

Artificial intelligence, biology education, teaching and learning strategy, machine learning, teachable machine

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