Components and Indicators of Problem-solving Skills in Robot Programming Activities

The objective of this research was to study the components and indicators of problem-solving skills in robot programming activities for high school students. This is done by analyzing the second order of confirmatory factor analysis (CFA) based on data from the behavioral assessment with regard to the robot programming activities of 320 students from specialized science schools. The results of the research revealed that the problem-solving skills in robot programming activities had five components and 15 indicators. All the components were tested for consistency using CFA statistics with the support of R-Studio program. The model analysis results were found to be consistent with empirical data with Chi-Square = 98.273, df = 80.000, p-value = 0.081, GFI = 0.961, NFI (TLI) = 0.924, CFI = 0.985, RMSEA = 0.027, RMR = 0.007. This indicates that all the identified components and indicators are involved in problem-solving skills in the robot programming activities of high school students.

@article{Lertyosbordin2021,
  title     = {Components and Indicators of Problem-solving Skills in Robot Programming Activities},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {12},
  number    = {9},
  year      = {2021},
  publisher = {The Science and Information Organization},
  author    = {Chacharin Lertyosbordin and Sorakrich Maneewan and Daruwan Srikaew},
  doi       = {10.14569/IJACSA.2021.0120917},
  url       = {https://doi.org/10.14569/IJACSA.2021.0120917}
}