Chia-Ling Sung
Graduate School of Curriculum and Instructional Communications Technology College of Education National Taipei University of Education Master student
Email：waterleave65@nhps.tp.edu.tw
Yuan-Chen Liu
Graduate School of Curriculum and Instructional Communications Technology College of Education National Taipei University of Education Professor
Abstract
12-year Compulsory Education highlighted digital teaching, development of computational thinking, programming, STEM, Maker and other new things in the education. This study investigates the personal traits as a predictor of problem-solving ability in the context of robotic integration programming by using the cooperative attitude, learning style, self-regulation, enjoyment and gender as a key part of the model (including computational thinking). The study consisted of 252 sixth-grade students who collected data using a questionnaire after a 10-week robotic program. The results of correlation and regression analysis show that the cooperative attitude and self-regulation of programming are important variables for predicting problem-solving ability. It has also been found that problem solving ability is positively related to computing thinking. Other important findings include how well a student’s enjoyment in the course affects their cooperative attitude and self-regulation. The ability of the learning style to predict computational thinking is also a great and interesting discovery. This study has many potential implications for robotics and programmers and educators, and hopes to provide some of the learner’s traits, feelings, and impacts beyond the curriculum design.
Keywords :problem solving, computational thinking, robotics, programming