Analysis of predictors of Korean students’ proficiency in science in PISA 2015 using a random forests hyper-ensemble approach

Hong, Jeehye; Kim, Hyun-Jung; Hong, Hun-Gi

doi:10.15753/aje.2022.6.23.2.311

Cited by 1 publication

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“…Individual researchers created a model based on their theoretical background and verified it with PISA data to explain and interpret the relationship between the variables and scientific achievement (Forbes et al, 2020;Oliver et al, 2019). In addition, based on the recent development of EDM, studies have been done that aimed to derive variables affecting scientific achievement by applying it to PISA data with many variables and complex interactions between variables (Hong et al, 2022;. These previous studies have shown that students' scientific psychological variables, environmental awareness, and the PISA index of economic, social, and cultural status (ESCS) influence scientific achievement.…”

Section: 11mentioning

confidence: 99%

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Random Forest Analysis of Factors Predicting Science Achievement Groups: Focusing on Science Activities and Learning in School

Hong

Kim

Hong

2022

Asia-Pac. Sci. Educ.

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This study explored science-related variables that have an impact on the prediction of science achievement groups by applying the educational data mining (EDM) method of the random forest analysis to extract factors associated with students categorized in three different achievement groups (high, moderate, and low) in the Korean data from the 2015 Programme for International Student Assessment (PISA). The 57 variables of science activities and learning in school collected from PISA questionnaires for students and parents were analyzed. Variables related to students’ past science activities, science teaching and learning methods, and environmental awareness were found to played important roles in predicting science achievement. When checking partial dependence plots for major variables, science activities and instructional strategies had a high probability of changing the prediction of an achievement group. This study focused on science-related contextual variables that can be improved through government policies and science teachers’ efforts in the classroom.

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Section: 11mentioning

confidence: 99%

“…The environmental awareness ASIA-PACIFIC SCIENCE EDUCATION 8 (2022) 424-451 variable has shown a high correlation between science achievement and enjoyment of science (List et al, 2020;Oliver & Adkins, 2020). This was derived as an important variable predicting the science achievement of Korean students (Hong et al, 2022).…”

Section: 14mentioning

confidence: 99%