The development of RBL-STEM learning materials to promote the students analytical thinking skills in solving convolutional neural network problems
1 Department of Postgraduate Mathematics Education, University of Jember, Jember, Indonesia.
2 Department of Computer Science, University of Jember, Jember, Indonesia.
Research Article
World Journal of Advanced Research and Reviews, 2024, 21(01), 2204–2212
Publication history:
Received on 07 November 2023; revised on 22 January 2024; accepted on 24 January 2024
Abstract:
Analytical thinking is a crucial cognitive skill that involves organizing, connecting, and understanding information to formulate solutions to problems. Analytical thinking skill consist of three indicators, namely the ability to distinguish, organize, and connect. To enhance higher-order thinking skills, we utilize RBL learning integrated with a STEM approach. Developing the learning materials to support the success of learning activity is important to improve student analytical thinking skill. The learning materials that have been developed reach the criteria of valid, practical, and effective. The validity of material component reach 3.79 or 94.75%. The post-test results show that 31 students (82%) have scores above the minimum completeness. The observation result of material learning implementation achieved an average score of 3.95, equivalent to a 98.75% percentage. Student response data reaches the average positive percentage 90.64%. Based on data analysis, it can be conclude that the RBL-STEM learning materials is ready for use.
Keywords:
Analytical Thinking Skills; Research Based Learning; Science Technology Engineering Mathematics
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