id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
easat-1630	Ridlo, Zainur Rasyid ; Dafik; Waluyo, Joko ; Yushardi	Exploring the impact of makerspace-based learning materials on students’ computational thinking skills: Using machine learning to address challenges in smart coffee agroforestry	2024	22	.pdf	application/pdf	10585	558	45	https://doi.org/10.1088/1742- 6596/1563/1/012034 [24] Z. R. Ridlo, L. Afafa, S. Bahri, and I. S. Kamila, The effectiveness of research-based learning model of teaching integrated with computer simulation in astronomy course in improving student computational thinking skills, Journal of Physics: Conference Series, vol. 1839, no. 1, p. 012027, 2021. 2) Can the implementation of RBL- STEM learning materials improve students' computational thinking skills in solving Smart Coffee Agroforestry problems using Machine Learning?	cache/easat-1630.pdf	txt/easat-1630.txt