Abstract

Objectives In this study, the purpose of this study is to examine whether the Dunning-Kruger effect, which is a biased confidence in one's ability according to the type of question in the science subject, appears in middle school students, suggesting a learning method, and removing the negative factors of learning. The purpose of this study is to respond to the demands of the school to present a learning strategy that minimizes the discrepancy between academic expectations and academic achievement, and to prepare a basis for implementing it. Methods For 215 second-year coeducational middle school students located in Gyeongsangbuk-do, we had them predict the expected scores for each of the multiple-choice and short-answer types of test questions before the first science test in the second semester of 2021. A significant relationship was verified by analyzing the relationship between quartiles based on actual grades and expected grades, and t-testing. Results A significant negative correlation was confirmed between the expected score and the difference score (the gap between the expected score and the actual score), and it was also confirmed that the overestimation of the short-answer type was larger than that of the multiple-choice type question. By confirming the two-way phenomenon of overestimation of students with low academic achievement and underestimation of students with good grades, the Dunning-Kruger effect, a previous study, was also found in Korean middle school students. Conclusions The correlation between the student's actual achievement score and the difference score was negative (-) in both multiple-choice and short-answer types for each test item type. There is a significant difference between the actual grades and quartiles in estimating the expected scores for multiple-choice and short-answer types. We present a learning strategy to provide opportunities for self-directed learning that accurately judges one's own abilities, expand the question-and-answer-type question type method in the school field, and check whether there are factors that affect cognitive bias in addition to the question type.

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