Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

53
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
53

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

MiR-696 Regulates C2C12 Cell Proliferation and Differentiation by Targeting CNTFRα.

International journal of biological sciences·2017
Same author

A novel dual-wavelength laser stimulator to elicit transient and tonic nociceptive stimulation.

Lasers in medical science·2017
Same author

Finite element method simulating temperature distribution in skin induced by 980-nm pulsed laser based on pain stimulation.

Lasers in medical science·2017
Same author

Analysis of the Factors That Could Predict Segmental Range of Motion After Cervical Artificial Disk Replacement: A 7-Year Follow-up Study.

Clinical spine surgery·2017
Same author

Rnf138 deficiency promotes apoptosis of spermatogonia in juvenile male mice.

Cell death & disease·2017
Same author

Performance of pfHRP2 versus pLDH antigen rapid diagnostic tests for the detection of <i>Plasmodium falciparum</i>: a systematic review and meta-analysis.

Archives of medical science : AMS·2017

Related Experiment Video

Updated: Jun 29, 2025

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

11.6K

Exploring Multiple-Objective Optimization for Efficient and Effective Test Paper Design with Dynamic Programming

Han Wang1,2, Qingfeng Zhuge1, Edwin Hsing-Mean Sha1

  • 1School of Computer Science and Technology, East China Normal University, Shanghai 200062, China.

Mathematical Biosciences and Engineering : MBE
|March 29, 2024
PubMed
Summary

This study introduces a novel genetic algorithm (GA) method for automatic test paper design, significantly improving efficiency and quality. The dynamic programming guided genetic algorithm with adaptive selection (DPGA-AS) reduces test assembly time from hours to seconds.

Keywords:
automated test paper designdynamic programminggenetic algorithmlinear programmingmultiple objectives optimization

More Related Videos

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
10:58

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules

Published on: July 25, 2013

17.0K
Characterization of Complex Systems Using the Design of Experiments Approach: Transient Protein Expression in Tobacco as a Case Study
20:24

Characterization of Complex Systems Using the Design of Experiments Approach: Transient Protein Expression in Tobacco as a Case Study

Published on: January 31, 2014

16.5K

Related Experiment Videos

Last Updated: Jun 29, 2025

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

11.6K
Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
10:58

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules

Published on: July 25, 2013

17.0K
Characterization of Complex Systems Using the Design of Experiments Approach: Transient Protein Expression in Tobacco as a Case Study
20:24

Characterization of Complex Systems Using the Design of Experiments Approach: Transient Protein Expression in Tobacco as a Case Study

Published on: January 31, 2014

16.5K

Area of Science:

  • Artificial Intelligence in Education
  • Educational Technology
  • Computational Linguistics

Background:

  • Current automatic test paper designs lack the quality and efficiency required for realistic educational settings.
  • Educators often manually construct tests due to limitations in existing automated solutions.
  • There is a need for automated test generation that balances test quality with computational efficiency.

Purpose of the Study:

  • To quantitatively define test quality considering knowledge points, cognitive levels, and difficulty.
  • To develop an efficient algorithm for automatic test paper generation that overcomes limitations of linear programming.
  • To propose a novel genetic algorithm (GA) based method, DPGA-AS, for enhanced test assembly.

Main Methods:

  • Defined test quality using multiple objectives: flexible knowledge point coverage, cognitive levels, and question difficulty.
  • Developed a linear programming model as a baseline for comparison.
  • Proposed a dynamic programming guided genetic algorithm with adaptive selection (DPGA-AS) for test generation.

Main Results:

  • The DPGA-AS method significantly improved test generation efficiency, reducing computation time from 3 hours to 2 seconds for a 5000-question bank.
  • The proposed method demonstrated superior test quality compared to other baseline approaches.
  • Experimental results validated the effectiveness and efficiency of the DPGA-AS for constructing high-quality test papers.

Conclusions:

  • The DPGA-AS offers a robust solution for automatic test paper design, meeting the dual requirements of high quality and efficiency.
  • This approach can alleviate educator workload and streamline the teaching process.
  • The method provides a significant advancement over traditional linear programming techniques in test assembly.