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Peer-reviewedCC BY 4.0PLOS One

Redefining creativity in AI era: Bloom’s taxonomy framework and peer interaction elevate higher-order thinking skills

  1. 1Vocational School, Universitas Padjadjaran, Sumedang, Indonesia
  2. 2Yayasan Bhakti Pertiwi Jaya, Jakarta, Indonesia
  3. 3Department of Marketing and Logistics Management, College of Management, Chaoyang University of Technology, Taichung, Taiwan

Abstract

Artificial intelligence is transforming cognitive learning by reshaping pedagogical models and raising questions about its impact on higher-order thinking. AI-driven personalized learning improves knowledge acquisition, but its effect on creativity remains largely unexplored. Most research emphasizes content delivery over cognitive engagement, which leaves gaps in understanding how AI influences deeper learning processes. This study investigates how ChatGPT-enabled personalized learning, framed through Bloom’s Taxonomy, influences creative thinking among Indonesian higher education students, considering the moderating role of peer interaction. Using SEM via Smart-PLS 4.1, data from 533 Indonesian students reveal that personalized learning strengthens both lower-order cognitive skills—such as remembering, understanding, and applying—and higher-order functions, including analyzing, evaluating, and creating, which are essential for creativity. Among these, analyzing and creating have the strongest impact on creative thinking. Peer interaction selectively moderates this relationship, significantly enhancing creativity in tasks involving creation, while its effect on other cognitive functions remains limited. This study introduces a dynamic framework that integrates personalized learning, Bloom’s Taxonomy, and peer collaboration, offering new insights into how tailored cognitive processes and selective peer engagement drive creativity in learning environments.

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BibTeX
@article{adnans2026redefining,
  title = {{Redefining creativity in AI era: Bloom’s taxonomy framework and peer interaction elevate higher-order thinking skills}},
  author = {Abdhy Aulia Adnans and Noor Raihan Ab Hamid and Norlina Kamudin and Andri Dayarana K. Silalahi},
  journal = {PLOS One},
  year = {2026},
  month = oct,
  doi = {10.1371/journal.pone.0356609},
  url = {https://doi.org/10.1371/journal.pone.0356609},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Redefining creativity in AI era: Bloom’s taxonomy framework and peer interaction elevate higher-order thinking skills
AU  - Abdhy Aulia Adnans
AU  - Noor Raihan Ab Hamid
AU  - Norlina Kamudin
AU  - Andri Dayarana K. Silalahi
PY  - 2026
DA  - 2026/10/14
JO  - PLOS One
DO  - 10.1371/journal.pone.0356609
UR  - https://doi.org/10.1371/journal.pone.0356609
AB  - Artificial intelligence is transforming cognitive learning by reshaping pedagogical models and raising questions about its impact on higher-order thinking. AI-driven personalized learning improves knowledge acquisition, but its effect on creativity remains largely unexplored. Most research emphasizes content delivery over cognitive engagement, which leaves gaps in understanding how AI influences deeper learning processes. This study investigates how ChatGPT-enabled personalized learning, framed through Bloom’s Taxonomy, influences creative thinking among Indonesian higher education students, considering the moderating role of peer interaction. Using SEM via Smart-PLS 4.1, data from 533 Indonesian students reveal that personalized learning strengthens both lower-order cognitive skills—such as remembering, understanding, and applying—and higher-order functions, including analyzing, evaluating, and creating, which are essential for creativity. Among these, analyzing and creating have the strongest impact on creative thinking. Peer interaction selectively moderates this relationship, significantly enhancing creativity in tasks involving creation, while its effect on other cognitive functions remains limited. This study introduces a dynamic framework that integrates personalized learning, Bloom’s Taxonomy, and peer collaboration, offering new insights into how tailored cognitive processes and selective peer engagement drive creativity in learning environments.
SN  - 1932-6203
ER  -