Evidence map›Paper›PMID 42651529›Full record

ArticleBehavioral sciences (Basel, Switzerland)2026

Can the Honors College's Top-Notch Training Promote the Deep Learning of Top Innovative Talents?

Tingzhi Han, Xinyi Fu

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 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

2 authors.

Tingzhi HanSchool of Education, Jiangnan University, Wuxi 214122, China.ORCID 0000-0001-8068-0445
Xinyi FuSchool of Education, Jiangnan University, Wuxi 214122, China.

Funding

Chinese Academy of Social Sciences Grant No. CIA250309
6 · The paper itself

Abstract

Utilizing comparative analysis and a quasi-experimental design, this study conducted three waves of questionnaire surveys over an 18-month period to longitudinally assess the deep learning levels of students enrolled in a university Honors College, with regular undergraduate students serving as a comparison group. The aim was to examine differences in deep learning development trajectories between the two groups from a dynamic perspective. Results indicated that Honors College students exhibited significantly higher levels of deep learning and greater short-term increases than regular undergraduate students. However, with respect to long-term development, Honors College students did not demonstrate significantly greater overall gains in deep learning, and the observed group differences were not consistently maintained over time. These findings provide insights into patterns of deep learning development among Honors College students and offer references for teaching and management practices in cultivating outstanding innovative talents at Chinese universities.

Indexed as

deep learningdevelopmentHonors Collegetop innovative talents

Identifiers

PMID42651529
PMCPMC13509271

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.