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High Performance Adaptive Learning & Testing System with Safe Dynamic Plugin System

Haozhe Ruan, Sihui Li, Jingwen Guo, Yiyi Wang, Suyu Jiang, Aquil Mirza Mohammed

2026 12th International Conference on Communication and Signal Processing (ICCSP) · Smart Education Systems

Abstract

Conference paper on a high-performance adaptive learning and testing system with a safe dynamic plugin architecture. The record emphasizes extensibility, runtime safety, and Rust-oriented implementation choices including generic programming and metaprogramming.

Affiliations

The Hong Kong Polytechnic University (PolyU), Hong Kong · Hubei University of Arts and Science, China

Status: Best Paper Award – Smart Education Systems track, ICCSP 2026 (April 20–22, 2026)

Presenter: Aquil Mirza Mohammed

IEEE copyright completed on February 3, 2026

Keywords

generic programminglearning systemsmeta programmingrust

BibTeX

@inproceedings{ruan2026adaptive,
  author = {Ruan, Haozhe and Li, Sihui and Guo, Jingwen and Wang, Yiyi and Jiang, Suyu and Mohammed, Aquil Mirza},
  title = {High Performance Adaptive Learning \& Testing System with Safe Dynamic Plugin System},
  booktitle = {2026 12th International Conference on Communication and Signal Processing (ICCSP)},
  year = {2026},
  note = {Smart Education Systems track},
  keywords = {generic programming, learning systems, meta programming, rust}
}