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

Learning Disabilities01:25

Learning Disabilities

753
Learning disabilities are cognitive disorders caused by neurological impairments that affect cognitive functions like language and reading, without indicating overall intellectual or developmental challenges. These disabilities differ from global intellectual or developmental disabilities as they are limited to distinct cognitive functions. Common learning disabilities include dysgraphia, dyslexia, and dyscalculia, each of which impacts unique aspects of learning.
Dyslexia
Dyslexia is a...
753
Intellectual Disability01:29

Intellectual Disability

1.1K
Intellectual disability (ID) is a neurodevelopmental condition characterized by deficits in intellectual and adaptive functioning that manifest during the developmental period. This condition encompasses challenges in reasoning, memory, problem-solving, and learning, accompanied by impairments in everyday life skills, such as communication, self-care, and social interactions. Intellectual disability affects approximately 1% of the population in the United States, impacting an estimated 5...
1.1K
Non-equilibrium in the Cell01:16

Non-equilibrium in the Cell

5.7K
An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...
5.7K

You might also read

Related Articles

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

Sort by
Same author

Processing-induced modulation of nutraceutical and anti-nutritional profiles of beetroot variants targeting enhanced iron retention.

Scientific reports·2026
Same author

EUROVISCO Recommendations for the Use of Viscosupplementation with Hyaluronic Acid in the Management of Hip Osteoarthritis.

Cartilage·2026
Same author

Mental health in digital microsystems across three Asian Reddit communities.

Scientific reports·2026
Same author

A Hybrid Cross-Attentive CNN-BiLSTM-Transformer Network for Dysarthria Severity Classification.

Scientific reports·2025
Same author

Assessing Dietary Patterns, Lifestyle Practices, and Forest Foods with Bioactive Potential to Address Micronutrient Deficiencies and Noncommunicable Diseases in Northeast India.

Nutrients·2025
Same author

Integrating LLMs and Knowledge Graphs for Medical AI: Advances, Challenges, and Future Directions.

IEEE journal of biomedical and health informatics·2025

Related Experiment Video

Updated: Apr 15, 2026

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

1.3K

Generative AI in disability-inclusive learning: a bibliometric and systematic literature analysis.

Amal Krishnan U C1, Hiran Haridas Lathabai2, Rajlakshmi Kanjilal2

  • 1Amrita School of Business, Amritapuri, Kerala, India.

Disability and Rehabilitation. Assistive Technology
|April 13, 2026
PubMed
Summary

Generative Artificial Intelligence (GenAI) offers personalized learning for students with disabilities, but research is uneven. Standardized reporting and ethical frameworks are needed for effective AI integration in education.

Keywords:
Generative artificial intelligence (GenAI)adaptive learning technologiesco-occurrence analysisinclusive educationsystematic literature review

More Related Videos

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

1.9K

Related Experiment Videos

Last Updated: Apr 15, 2026

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

1.3K
Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

1.9K

Area of Science:

  • Educational Technology
  • Artificial Intelligence in Education
  • Disability Studies

Background:

  • Generative Artificial Intelligence (GenAI) is increasingly used in education.
  • Implications for disability-inclusive practices are significant but underexplored.
  • The rapid adoption of large language models (LLMs) necessitates a review of GenAI applications for students with disabilities.

Purpose of the Study:

  • To map the uses of GenAI for students with disabilities since the public adoption of LLMs.
  • To identify key research clusters and trends in this emerging field.
  • To highlight existing research gaps and areas for future investigation.

Main Methods:

  • Systematic Literature Review (SLR) following SPAR-4-SLR guidelines.
  • Searches conducted on Scopus and Google Scholar (Jan 2022 - Feb 2025).
  • Bibliometric and text-mining analysis (TF-IDF, K-Means, PCA, VOSviewer) on 49 relevant records.

Main Results:

  • Five research clusters identified: adaptive tools for autism/language, inclusive AI integration, game-based learning, broad ChatGPT applications, and conceptual frameworks.
  • Autism Spectrum Disorder (ASD) and dyslexia are dominant research areas.
  • Visual, hearing, and motor impairments are underrepresented in current research.

Conclusions:

  • GenAI shows potential for personalized learning, Augmentative and Alternative Communication (AAC), and teacher support for students with disabilities.
  • Current evidence is preliminary and varies across different disability types.
  • Recommendations include standardized reporting, longitudinal evaluations, and policy frameworks integrating Universal Design for Learning (UDL) with AI ethics and privacy.