Abstract
The ability of statistics is the knowledge base of statistical reasoning and statistical thinking. Statistical capabilities in this study it: 1) reasoning for data, 2) Reasoning for basic statistical concepts and terms used in statistics, 3) Reasoning for data collection and processing in descriptive statistics, 4) Basic abilities in translate data, and 5) basic abilities in communicating data and research results. The ability of Statistics can be improved by increasing the role of student metacognition. In the industrial age 4.0, one way to optimize student metacognition skills is to get used to solving complex problems with ICT-based and complex problem-solving processes. The method used is a qualitative method. In Intervention applying learning statistics by developing statistics modules. This research with random samples. .One control and one experimental class. Based on the results of trials I and II that the ability of metacognition has a significant effect on the ability of student statistics where F count > F table , which means the role of metacognition is very significant on the ability of student statistics. Students also show a good or positive response. Keywords: Metacognition , ICT and Process Of Complex Problem-Solving, Capability of Student Statistics, Industrial Age 4.0 DOI: 10.7176/JEP/11-18-05 Publication date: June 30th 2020
Highlights
The industrial revolution is facing today is the industrial revolution 4.0 in which the economic activities carried out by robots and tools - software that automatically or technology developed in the era of revolution industrial 4.0, such as 1) Computing Power, 2) the speed of communication, 3) Storage Capacity data, 4) sensors, 5) 3D printers, 6) Artificial intelligence, 7) Nero-biotechnology. and 8) Nano-Technology, which is a problem for us are we ready to face such rapid progress? As educators of the strategies and methods that must be prepared for our young generation in undergoing industry 4.0
Research Method The method used is a qualitative method according to Davison et al, 2004 (Lestari, 2015) as a cycle, which at the Intervention (Action Taking) stage the researcher applies learning statistics whereby developing the module statistics linear regression material 4 variables with ICT-based and complex problem-solving processes with questions that will stimulate the increasing role of student metacognition and the complex problems presented are problems that exist around the environment of students in the Industrial age 4.0
3 Results and Discussion The problem presented to stimulate the role of students' metacognition of their statistics ability is "Description of the problem about the volume of Seafood sales in the Bagan Percut area by following per under with the local culture so that it can more quickly stimulate the thinking power of students ( Ramadhani et al (2018) presented below a
Summary
The industrial revolution is facing today is the industrial revolution 4.0 in which the economic activities carried out by robots and tools - software that automatically or technology developed in the era of revolution industrial 4.0, such as 1) Computing Power, 2) the speed of communication, 3) Storage Capacity data, 4) sensors, 5) 3D printers, 6) Artificial intelligence, 7) Nero-biotechnology. and 8) Nano-Technology, which is a problem for us are we ready to face such rapid progress? As educators of the strategies and methods that must be prepared for our young generation in undergoing industry 4.0. Human resources that can be prepared include learning and Innovation Skills based on information media and technology skills to face the industrial era 4.0. Increasing the role of metacognition including by getting used to solving complex problems (complex problem solving) with ICT -based and getting used systematically in the process of solving complex problems so that the ability of student statistics increases. Optimal statistical ability will contribute to the habit of self to work systematically and scientifically. That this attitude is a capital for students to face the Industrial 4.0 era, where needed reliable human resources with complex and skilled problems using appropriate technological advancements
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