Supervised Learning Algorithm: Enhancing Reflective Writing Skills within the Context of the International Project ‘Out of Eden Walk’ and the Principles of ‘Slow’ Journalism

In this study, we aimed to address issues related to students' slow writing skills by incorporating the “Out of Eden Walk” project using an AI model. Employing a project-based learning approach, our goal was to enhance students' writing abilities, particularly in the English subject. The research was conducted as a part of the classroom term-end assessment, following the model established by Nazarbayev Intellectual School of Chemistry and Biology, involving 42 students from Class 11. We utilized a qualitative descriptive method, employing both test and non-test instruments, including observation and data analysis in six cycles. The initial student completion rate was only 11.42%, while the experimental group showed a significant improvement to 85.71% by the end of the study. National Geographic's Out of Eden Walk, led by two-time Pulitzer Prize winner Paul Salopek, serves as an exemplary illustration of slow journalism. Over a seven-year, around-the-world journey, this article explores how Salopek's Walk not only embodies the essence of slow journalism but also significantly contributed to enhancing students' writing skills through the integration of an AI model.