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This study investigates teachers’ satisfaction with a learning ecosystem designed to enhance Coding and AI skills, utilizing the Code Combat platform and educational AI innovation for youth. A total of 98 teachers (N = 98) participated in the research, with data collected through a 5-point Likert scale questionnaire assessing three key aspects: User Needs, System Efficiency, and User Interface. The findings reveal a high overall level of satisfaction (x̄ = 4.38, S.D. = 0.48). The User Interface received the highest satisfaction rating (x̄ = 4.49, S.D. = 0.50), followed by System Efficiency (x̄ = 4.35, S.D. = 0.50), and User Needs (x̄ = 4.30, S.D. = 0.45). Teachers expressed satisfaction with the platform's ease of use, accuracy of summarizing student progress, and user-friendly design. Based on these findings, recommendations are proposed to further improve the platform’s usability, including the incorporation of adaptive features and greater customization options to accommodate diverse user needs. The results of this study provide valuable insights into enhancing learning platforms aimed at developing critical skills in Coding and AI among educators and students alike.

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Teachers’ Satisfaction Toward the Learning Ecosystem to Enhance Coding & AI Skill with Code Combat Platform and Educational AI Innovation for Youth

  • 会议论文

  • 发表日期：

    2026年

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  • Charuni Samat,
  • Issara Kanjug,
  • Suchat Wattanachai,
  • Pornsawan Vongthatam,
  • Pinyarat Singha

摘要

This study investigates teachers’ satisfaction with a learning ecosystem designed to enhance Coding and AI skills, utilizing the Code Combat platform and educational AI innovation for youth. A total of 98 teachers (N = 98) participated in the research, with data collected through a 5-point Likert scale questionnaire assessing three key aspects: User Needs, System Efficiency, and User Interface. The findings reveal a high overall level of satisfaction (x̄ = 4.38, S.D. = 0.48). The User Interface received the highest satisfaction rating (x̄ = 4.49, S.D. = 0.50), followed by System Efficiency (x̄ = 4.35, S.D. = 0.50), and User Needs (x̄ = 4.30, S.D. = 0.45). Teachers expressed satisfaction with the platform's ease of use, accuracy of summarizing student progress, and user-friendly design. Based on these findings, recommendations are proposed to further improve the platform’s usability, including the incorporation of adaptive features and greater customization options to accommodate diverse user needs. The results of this study provide valuable insights into enhancing learning platforms aimed at developing critical skills in Coding and AI among educators and students alike.