Hybrid Proactive Learning using Business Intelligence to Promote Critical Thinking Skills

Authors

  • Kassinee Tupthong Pathum thani Technical College, Pathum thani, Thailand
  • Supajaroen Nilapun Pathum thani Technical College, Pathum thani, Thailand
  • Natracha Amormtumsakun Pathum thani Technical College, Pathum thani, Thailand

Abstract

The study proposes an instructional model entitled Active-Hybrid Learning Using Business Intelligence (BI), which integrates the principles of active learning and hybrid learning with business intelligence technologies to enhance learners’ analytical and problem-solving skills. This learning framework encourages learners to engage in critical thinking, analysis, and hands-on activities through both online and face-to-face modes. By utilizing BI tools such as market trend and consumer data analysis, learners gain real-world experience that strengthens their analytical thinking, digital literacy, and strategic decision-making skills, preparing them for the demands of the digital business environment. The research employed an expert evaluation method to examine the appropriateness of the designed Active-Hybrid Learning Platform Using Business Intelligence.

 The findings indicated that the overall suitability of the platform design was rated at the highest level (M = 4.96,
SD = 0.08), and the overall implementation suitability was also at the highest level (M = 4.90, SD = 0.15). The results demonstrate that the proposed model is an effective and practical framework for promoting critical thinking and analytical competence among vocational learners. The integration of BI tools within the hybrid active learning environment enhances learners’ capacity to analyze, evaluate, and make informed decisions—skills essential for success in future digital-era professions.

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Published

2025-11-13

How to Cite

[1]
K. Tupthong, S. Nilapun, and N. Amormtumsakun, “Hybrid Proactive Learning using Business Intelligence to Promote Critical Thinking Skills”, Int J Edu Comm Tech, vol. 5, no. 2, pp. 65–77, Nov. 2025.

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Original Articles