Effects of Learning Management Using Problem Base Learning with Micro:bit on Problem Solving Ability in Computer Science Subject of Matthayom 1 Students

Abstract

The purposes of this research were 1) to study the problem-solving abilities of students in Matthayom 1 who received learning management using problem base learning with Micro: bit and 2) to compare the problem-solving abilities of students in Matthayom 1 who received learning management using problem base learning with Micro: bit with criteria 70 percent of the full score. The research samples were 17 students from one classroom in Matthayom 1, the first-semester academic year 2022 from Ban Bueng Rat School under Nakhonsawan Primary Education Service Area Office 2. The research samples were selected using group randomization with the school as the random sampling unit. The research instruments were 1) 4 lesson plans of 12-hour problem-solving abilities on the micro: bit board with high average suitability ( = 4.56, S.D. = 0.48), and 2) problem-solving abilities assessment test on Computer Science subject using 4 levels rubric scoring criteria. The validity using the Index of Item – Objective Congruence (IOC) equals 0.67 – 1.00, and the reliability using the Rater Agreement Index (RAI) equals 0.88. Data analyzed using mean, standard deviation, and Wilcoxon Signed Rank Test. The research findings were as follows:

            1) The students in Matthayom 1, after participating in learning management using problem base learning with Micro: bit, most of the students had the problem-solving ability at the highest level of 70.58 percent and the rest were at the good level of 29.42 percent 2) The students in Matthayom 1, who participated in learning management using problem base learning with Micro: bit, had an average problem-solving ability of 34.71, a standard deviation at 1.96 which was higher than the criteria 70 percent of the full score and were statistically significant at the .05 level.