首页|Findings from Pai Chai University Advance Knowledge in Artificial Intelligence (Effects of the International Training Program for Enhancing Intelligent Capabilities through Blended Learning on Computational Thinking, Artificial Intelligence ...)

Findings from Pai Chai University Advance Knowledge in Artificial Intelligence (Effects of the International Training Program for Enhancing Intelligent Capabilities through Blended Learning on Computational Thinking, Artificial Intelligence ...)

扫码查看
Current study results on artificial intelligence have been published. According to news reporting originating from Daejeon, South Korea, by NewsRx correspondents, research stated, “The purpose of this study is to find the effects of the international training program for enhancing intelligent capabilities through blended learning on computational thinking, artificial intelligence (AI) competency, and core competencies for the future society in graduated students enrolled in the Smart Information Communication Technology (SMART ICT) course.” Financial supporters for this research include Innovative Human Resource Development For Local Intellectualization Program. The news journalists obtained a quote from the research from Pai Chai University: “The teaching model followed the ADDIE framework. This study is a quasi-experimental study based on nonequivalent control group design. Study subjects were assigned to an experimental (n = 20) or control group (n = 20). The experimental group participated in the international training program in the blended learning form, realtime online classes (60 min per session for a week, six sessions) and face-to-face classes (4-8 h per session for 9 days, six sessions). The variables were measured with a self-report questionnaire and were evaluated before, right after, and in the 12th week of the program. The AI competency of the experimental group was observed to be significantly changed at the points of time (F = 6.76, p = 0.002), and in comparison with that of a different group (F = 9.77, p = 0.003).”

Pai Chai UniversityDaejeonSouth KoreaAsiaArtificial IntelligenceEmerging TechnologiesMachine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Feb.9)
  • 40