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

You might also read

Related Articles

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

Sort by
Same journal

Retraction Note: An efficient hybrid stock trend prediction system during COVID-19 pandemic based on stacked-LSTM and news sentiment analysis.

Multimedia tools and applications·2026
Same journal

Retraction Note: Covid-19 classification using sigmoid based hyper-parameter modified DNN for CT scans and chest X-rays.

Multimedia tools and applications·2026
Same journal

Retraction Note: Smart healthcare system using integrated and lightweight ECC with private blockchain for multimedia medical data processing.

Multimedia tools and applications·2026
Same journal

Retraction Note: Modeling and prediction of KSE - 100 index closing based on news sentiments: an applications of machine learning model and ARMA (p, q) model.

Multimedia tools and applications·2026
Same journal

Retraction Note: COVID-19 Detection using adopted convolutional neural networks and high-performance computing.

Multimedia tools and applications·2026
Same journal

Human-like scene graph generation and evaluation.

Multimedia tools and applications·2026

Related Experiment Video

Updated: Aug 29, 2025

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

4.0K

Augmented reality with algorithm animation and their effect on students' emotions.

Maximiliano Paredes-Velasco1, J Ángel Velázquez-Iturbide1, Mónica Gómez-Ríos2

  • 1Department of Computing and Statistics, Rey Juan Carlos University, C/ Tulipán, s/n, 28933 Móstoles, Madrid, Spain.

Multimedia Tools and Applications
|September 12, 2022
PubMed
Summary

This study introduces an architecture for integrating algorithm animations with augmented reality (AR) to enhance learning. The AR tool improved student emotions, reducing boredom but increasing anxiety, with learning models impacting outcomes.

Keywords:
Algorithm animationAugmented realityDijkstra's algorithmEmotions

More Related Videos

Mixed Reality for Education MRE Implementation and Results in Online Classes for Engineering
04:12

Mixed Reality for Education MRE Implementation and Results in Online Classes for Engineering

Published on: June 23, 2023

728
Evaluating Usability Aspects of a Mixed Reality Solution for Immersive Analytics in Industry 4.0 Scenarios
06:02

Evaluating Usability Aspects of a Mixed Reality Solution for Immersive Analytics in Industry 4.0 Scenarios

Published on: October 6, 2020

2.3K

Related Experiment Videos

Last Updated: Aug 29, 2025

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

4.0K
Mixed Reality for Education MRE Implementation and Results in Online Classes for Engineering
04:12

Mixed Reality for Education MRE Implementation and Results in Online Classes for Engineering

Published on: June 23, 2023

728
Evaluating Usability Aspects of a Mixed Reality Solution for Immersive Analytics in Industry 4.0 Scenarios
06:02

Evaluating Usability Aspects of a Mixed Reality Solution for Immersive Analytics in Industry 4.0 Scenarios

Published on: October 6, 2020

2.3K

Area of Science:

  • Computer Science Education
  • Human-Computer Interaction
  • Educational Technology

Background:

  • Algorithm animations visualize algorithm behavior for better understanding.
  • Augmented reality (AR) offers immersive experiences that can enhance student well-being.
  • Integrating algorithm animations with AR presents unique challenges and opportunities.

Purpose of the Study:

  • To describe an architecture for interactive algorithm animations within immersive AR.
  • To evaluate the emotional impact of an AR tool for learning algorithms on students.
  • To investigate the influence of learning models (face-to-face vs. online) on AR-enhanced education.

Main Methods:

  • Developed an architecture for generating interactive algorithm animations in AR.
  • Instantiated the architecture using Dijkstra's algorithm, creating a tool with text, 2D, and 3D visualizations.
  • Conducted an experience with face-to-face and online students to assess emotional responses and learning outcomes.

Main Results:

  • The AR tool led to more positive than negative emotions, increased stimulation, and reduced boredom.
  • Students experienced anxiety, which intensified with AR use.
  • Face-to-face and online learning models influenced emotions and learning outcomes in the AR environment.

Conclusions:

  • The proposed architecture effectively integrates algorithm animations into AR for educational purposes.
  • AR-enhanced algorithm visualization positively impacts student emotions, though anxiety is a consideration.
  • Learning context significantly moderates the effectiveness of AR in education.