| Abstrakt: |
Although the advent of GPT has brought about many changes in education, domestic education still has the disadvantage of causing excessive competition among learners with relative evaluation that allows students to learn a limited range in an cramming manner and lowers creativity and originality. Regular tests account for a large portion of grades, so if learners do not take the test at a set time and place, it may be disadvantageous to grades. Therefore, this study selected an optimal grade prediction model by collecting data on whether grade assignment is possible without data on regular test results of programming class participants. The results of this study are expected to be able to escape anxiety and stress about tests in that grades can be assigned without regular tests at a set place and time, and that new evaluation criteria can be created by predicting grades from various factors rather than being evaluated through tests. [ABSTRACT FROM AUTHOR] |
