Exploratory Study for Introducing and Applying an AI-based Intelligent Learning System o n Basic S cien ce: Focusing on General Chemistry Class Case
Year: 2021
Type: article
Abstract: Artificial Intelligence is the technical foundation of the Fourth Industrial Revolution, leading innovation and change in various areas of society as a whole. Even in the education area, AI-based learning systems have the potential to be used in adaptive classes and to take into consideration the students’ learning situations. This study focused on the use of ALEKS as an AI-based system on an adapted learning system in a general chemistry class for the second semester of 2020 and the first semester of 2021, and suggested factors to consider when operating AI-applied classes. According to our study, AI-based adaptive learning systems have contributed to the improvement of conceptual learning through individual learning support and learning interest and through class operations measuring the students’ learning progress. However, in order for these exploratory studies to produce real and meaningful effects, flexible access is requires in the use of course content, learning data and systems. In addition, it seems that creative class composition and curriculum development are needed, with the application and expansion of concepts taking place in various interactions. Finally, our exploratory research will be the basis for the introduction and application of a basic science class involving AI based adaptive learning systems.
Institution: Ajou University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: gold
OpenAlex ID: W4206997079