Development Of Digital-Based Work Group Management Using Artificial Intelligence Education Copilot

As artificial intelligence (AI) advances, the education sector has entered a new era of more personalized and intelligent learning, offering the potential to transform the way we approach managing the learning process and developing competencies. In particular, significant challenges arise in managing effective coaching processes, where traditional methods often fail to meet the rapidly evolving needs. Therefore, developing a digital-based coaching management system powered by AI is crucial to creating a more efficient, responsive, and data-driven learning experience. This research aims to develop and introduce a digital education coaching management system, named "AI Education Copilot," which uses AI technology to support a more structured and automated approach to educational coaching management. The methodology employed in this study is the development of a web-based platform that integrates comprehensive learning data and natural language processing technology to assess the abilities and progress of learners at various stages. The research follows the 4D model, consisting of the Define, Design, Develop, and Disseminate stages. The field trials involved 85 participants, and data were analyzed using descriptive statistics, index analysis, and paired sample T-tests. The results of the Education Copilot management system development are evident from the analysis of planning, organizing, actuating, and controlling processes. The findings show high effectiveness, with planning, organizing, actuating each receiving 88% (high), and controlling each receiving 92% (high). The feasibility test revealed an effectiveness rate of 90%, efficiency at 89.2%, attractiveness at 94.3%, and satisfaction at 91.4%. Pedagogical competence showed a significant improvement, increasing from an average of 60.21 to 75.20. Based on these results, this study concludes that the Education Copilot is highly effective in improving group work management and provides a viable solution for enhancing educational practices.

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Publication Details

Journal
Journal of Information Systems Engineering & Management
Published
2025-04-08
DOI
https://doi.org/10.52783/jisem.v10i33s.5471
Primary Topic
Impact of AI and Big Data on Business and Society
Type
article
Field-Weighted Citation Impact
0.00
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article

Development Of Digital-Based Work Group Management Using Artificial Intelligence Education Copilot

Alfred C. Amán
Journal of Information Systems Engineering & Management
Impact of AI and Big Data on Business and Society
article

Development Of Digital-Based Work Group Management Using Artificial Intelligence Education Copilot

Alfred C. Amán
article en

Abstract

As artificial intelligence (AI) advances, the education sector has entered a new era of more personalized and intelligent learning, offering the potential to transform the way we approach managing the learning process and developing competencies. In particular, significant challenges arise in managing effective coaching processes, where traditional methods often fail to meet the rapidly evolving needs. Therefore, developing a digital-based coaching management system powered by AI is crucial to creating a more efficient, responsive, and data-driven learning experience. This research aims to develop and introduce a digital education coaching management system, named "AI Education Copilot," which uses AI technology to support a more structured and automated approach to educational coaching management. The methodology employed in this study is the development of a web-based platform that integrates comprehensive learning data and natural language processing technology to assess the abilities and progress of learners at various stages. The research follows the 4D model, consisting of the Define, Design, Develop, and Disseminate stages. The field trials involved 85 participants, and data were analyzed using descriptive statistics, index analysis, and paired sample T-tests. The results of the Education Copilot management system development are evident from the analysis of planning, organizing, actuating, and controlling processes. The findings show high effectiveness, with planning, organizing, actuating each receiving 88% (high), and controlling each receiving 92% (high). The feasibility test revealed an effectiveness rate of 90%, efficiency at 89.2%, attractiveness at 94.3%, and satisfaction at 91.4%. Pedagogical competence showed a significant improvement, increasing from an average of 60.21 to 75.20. Based on these results, this study concludes that the Education Copilot is highly effective in improving group work management and provides a viable solution for enhancing educational practices.

Journal of Information Systems Engineering & ManagementVol. 10(33s)
Openalex Percentile: Top 92%
Impact of AI and Big Data on Business and Society
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Development Of Digital-Based Work Group Management Using Artificial Intelligence Education Copilot — Alfred C. Amán · Journal of Information Systems Engineering & Management (2025) | TGRS Research Map | TGRS