The Effect of Machine Learning-Assisted Inquiry Based Learning Size Model on Students' Problem-Solving Thinking Skills

Sapulete, Heppy
Tomi Apra santosa
Hasyim Mahmud Wantu
Ahamd Zain Sarnoto
Aat Ruchiat Nungraha
Eko Nursalim
Togam E Panggabean
Alek Irawan Triantho

eScience Humanity Journal
Vol 5 No 1 (2024): eScience Humanity Journal Volume 5 Number 1 November 2024

This study aims to determine the influence of the Machine Learning-assisted Inquiry Based Learning Model on Students' Problem-Solving Thinking Ability. This type of research is a quantitative research with a meta-analysis approach. The data sources in this study come from 12 reputable national and international journals published in 2022-2024. The data collection technique is direct observation through the jury database. The search for data sources in this study is based on google scholar; ERIC, Wiley and Sciencedirect. Data analysis is quantitative data analysis by calculating the effect size value. The results of the study concluded that the inquiry-based learning model assisted by machine learning had a positive influence on students' problem-solving ability with an effect size value of 1,02 in the high effects size category