Personalized neural cognitive architecture search: AutoML-driven diagnostic model generation for heterogeneous learner profiles
Publication date: December 2026 Source: Computers and Education: Artificial Intelligence, Volume 11 Author(s): Liyuan Jia, Ke Dong
Record details
Published: 14 July 2026
Source: Computers and Education: Artificial Intelligence
Category: Research
Topics: Healthcare · Children & education
Retrieved: 14 July 2026
Related evidence
These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.
GNN-driven modeling and prediction of multi-dimensional correlation of international medical education quality based on competence
Computers and Education: Artificial Intelligence · 14 July 2026
Predicting and explaining professionalism issues in medical students with time-to-event models: An exploratory longitudinal learning analytics study
Computers and Education: Artificial Intelligence · 14 July 2026
Enhancing domain adaptation of LLM via model composition in solving medical exam questions
Computers and Education: Artificial Intelligence · 14 July 2026
Fine-Tuning, Retrieval-Augmented Generation, and Hybrid Large Language Models for Postoperative Decision Support: Comparative Analysis
JMIR (Journal of Medical Internet Research) · 14 July 2026
Diagnosing and Calibrating Tool-Call Boundary Drift in Multi-Teacher On-Policy Distillation
HuggingFace Daily Papers · 14 July 2026
Limited awareness of AI regulations among developers raises potential concerns for healthcare rollout
NTU Singapore AI · 15 July 2026
How to cite this record
ethics.ai (14 July 2026), “Personalized neural cognitive architecture search: AutoML-driven diagnostic model generation for heterogeneous learner profiles,” evidence record 2203, https://ethics.ai/record/2203 (originally published by Computers and Education: Artificial Intelligence).
Use and limitations
This page is a stable index and citation surface for a source record. ethics.ai did not author the underlying report and has not independently verified every claim. Automatic topics may be imperfect. For consequential use, quote and cite the original publisher.