The Problem-Based Learning Process with A Cloud Learning Environment to Enhance Analysis Thinking

Abstract

This study, is aimed at 1) synthesizing the conceptual framework of the problem-based learning process with a cloud learning environment (PBL-CLE process), 2) developing the PBL-CLE process, and 3) studying the result of the development of the PBL-CLE process. The research instruments include 1) the conceptual framework, 2) the PBL-CLE process to enhance analysis thinking, 3) learning achievement, and 4) analysis thinking assessment form. The statistics used in this research are 1) mean, 2) standard deviation, and 3) t-test. The findings reveal that 1) the PBL-CLE process consists of four components: (1) Input includes learning objectives, content, learners, teacher and cloud learning, (2) PBL-CLE process includes problem posing, problem analysis, problem understanding, research procedure, knowledge synthesis, conclusion and evaluation, presentation, and assignment assessment, (3) Output includes analysis thinking, learning achievement, and satisfaction, and (4) Feedback includes analysis thinking and learning achievement; 2) The result of suitability assessment of the PBL-CLE process to enhance analysis thinking is at the highest level; 3) The students’ learning achievement after the implementation of the PBL-CLE process to enhance analysis thinking is significantly higher than that before the implementation at a .01 level of statistical significance; and 4) The result of analysis thinking assessment after the learning process through the PBL-CLE process to enhance analysis thinking is at the very good level.