Our research aims to predict students' academic performance by considering the variables affecting academic performance in science courses using the deep learning method from machine learning algorithms and to determine the importance of independent variables affecting students' academic performance in science courses. 445 students from 5th, 6th,…

The aim of this research was to explore the effect of a Technology-enhanced Metacognitive Learning Platform (TeMLP) on student's monitoring accuracy and understanding of electricity. An interactive TeMLP was prepared on the electricity unit covering the topics of static and current electricityfor 7th graders; the platform contained computer…

Developed to evaluate secondary school students' writing fluency skills, this study is descriptive in nature and uses a mixed method approach. During the research, the researcher attempted to identify students' abilities to write in terms of quantity and complexity, on the one hand, and also attempted to identify findings on accuracy, the…