Assessment Instruments of STEM Project-Based Learning on Statistical Materials

Abstract

Most students do not have the skills to use information, so the information is less applicable in everyday life, and can even hurt students. This is a challenge for teachers in this era. One of the learning models that can be used to face challenges in the era of the industrial revolution 4.0 is Project-Based Learning. Therefore the purpose of this study was to analyse the feasibility, practicality, and effectiveness of the STEM project-based learning assessment instrument. The research development model used in this research is ADDIE model. The subjects of this research are two class of junior high school namely class VIII A and class VIII B which will be doing a broad field test. The data collected consists of two kinds, Qualitative and Quantitative. The data collection instrument to be carried out is divided into three category including, 1) product feasibility assessment instrument, 2) product practicality instrument 3) product effectiveness instrument. The result concluded that the STEM Project Based Learning-based learning assessment instrument developed by the researcher was declared "very feasible" category. The STEM project based learning assessment instrument developed by the researcher included in the "Very Practical" category and the large group test questionnaire score for 27 students of class VIIIB were included in the "Very Practical" category. The STEM Project-Based Learning assessment instrument developed by the researchers obtained the results of small group trials including in the "Very Effective" category.

Honey and Mumford learning style: creative thinking process in solving statistical problems

“…The use of this e-module is based on STEM project-based learning which will provide opportunities for students to develop their creative thinking skills [23]. The data measurement material will discuss: i) data concentration measures, which will discuss understanding, projectbased learning STEM-based modules, and mode [24], [25]; and ii) measures of data spread, which will discuss range, quartiles, interquartile ranges, and quartile deviations. While the material for presenting data will discuss the presentation of data in the form of diagrams consisting of bar charts, line charts, and circle charts and tables.…”