Evidence map›Paper›PMID 42873757›Full record

ArticlePloS one2026

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

Abdhy Aulia Adnans, Noor Raihan Ab Hamid, Norlina Kamudin, Andri Dayarana K Silalahi

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Abdhy Aulia AdnansVocational School, Universitas Padjadjaran, Sumedang, Indonesia.
Noor Raihan Ab HamidYayasan Bhakti Pertiwi Jaya, Jakarta, Indonesia.
Norlina KamudinYayasan Bhakti Pertiwi Jaya, Jakarta, Indonesia.
Andri Dayarana K SilalahiDepartment of Marketing and Logistics Management, College of Management, Chaoyang University of Technology, Taichung, Taiwan.ORCID https://orcid.org/0000-0002-5399-3742

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Artificial IntelligenceCreativityThinkingCognitionFemaleGenerative Artificial IntelligenceHumansIndonesiaLearningMalePeer GroupStudentsYoung Adult

Identifiers

PMID42873757
PMCPMC13667817

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.