Evidence map›Paper›PMID 41953299›Full record

ArticleFrontiers in psychology2026

Complementary AI in higher education: behavioral, cognitive, and ethical implications of ChatGPT and DeepSeek.

Eman Faisal

Abstract read
In one paragraph

Article in Frontiers in psychology, 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

1 author.

Eman FaisalDepartment of Curriculum and Instruction, College of Education, King Saud University, Riyadh, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present mixed-methods study integrates a systematic review of 51 studies (2024-2025) with qualitative findings from eight participants, who were asked to complete a semi-structured questionnaire, to comprehend the complementary functions, pedagogical tasks, and ethical concerns associated with ChatGPT and DeepSeek in tertiary education. ChatGPT enhances creativity, language learning, and motivational participation, while DeepSeek excels in analytical accuracy and domain-specific performance, particularly in STEM and medical education. Evidence from both phases indicates that their integration underpins a twin-function pedagogy that couples generative fluency and systematic reasoning. Yet threats still exist, such as hallucination-induced errors, academic fraud, and a decline in critical thinking in the absence of metacognitive scaffolding and ethical regulation. Six thematic categories-personalized education, academic honesty, metacognition, model performance, adoption patterns, and domain-specific use-emerged in parallel with three cross-cutting patterns highlighting cognitive trade-offs, equity-related matters, and neurobehavioral dynamics. Together, these results suggest that interdisciplinary cooperation is crucial in developing AI-human co-regulation models, ethics-informed curricula, and deployment scenarios tailored to diverse environments. ChatGPT and DeepSeek are not rival technologies but complementary cognitive agents whose prudent integration can enhance creativity, accuracy, and ethical resilience in higher education.

Indexed as

artificial intelligenceChatGPTDeepSeekhigher educationmixed methods

Identifiers

PMID41953299
PMCPMC13053489

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.