Abstract

The research aims to compare the advanced class (experimental class) and traditional class with the traditional teaching method. This research is concerned with STEM activity in parachute design. The experiment class applies research-based learning methods integrated with Cloud Classroom (CCR), and the Traditional class is taught using conventional teacher talk or explanation. This research used triangulation methods, quantitative, and qualitative methods. The data analysis of the post-test indicated a value of sig (2-tailed) 0.00 where p≤0.05, which implied the student achievement on combinatorial thinking skills criteria in the experimental class was better than that in the control class. The combinatorial thinking skills in experimental class after implementation of RBL was that 16% student were categorized in a low level of combinatorial thinking skills, 39% in medium level and 45% of the student was at the high level of combinatorial thinking skills. The activity of students in the experimental class reached 35 % as the highest activity for very active activity, 27 % active, hesitate 27 %, inactive 6 %, and very inactive 5 %. Based on this result, the implementation of research-based learning integrated with CCR is proven effective in improving student Combinatorial Thinking skills in STEM activity for parachute design.

Highlights

  • The development of increasingly advanced technology requires a person to master various kinds of scientific disciplines in solving problems

  • Combinatorial Thinking Skills embedded in STEM Parachute Design Activities Assisted by CCR (Cloud Classroom) we develop combinatorial thinking criteria into STEM activity according to Science, Technology, Engineering, and Mathematics section

  • This research explores the effectiveness of the implementation model of teaching Research-Based Learning in improving combinatorial thinking skills in STEM activity to design parachute

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Summary

Introduction

The development of increasingly advanced technology requires a person to master various kinds of scientific disciplines in solving problems. In solving this problem, each person has their way that is felt easiest. This implies that there is a specific pattern of resolution done by someone in dealing with problems. This ability is called Combinatorial Thinking Skills. The fourth indicator is mathematical proof with sub-indicators (a) doing some argument calculation, (b) doing algorithmic testing, (c) developing bijection, (d) doing testing on bijection, and (e) implementing inductive, deductive and qualitative verification. Report and Recommendation of Implementation Research-Based Learning in Improving

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