International Journal of Artificial Intelligence in Education

Scope & Guideline

Pioneering Insights at the Intersection of AI and Learning

Introduction

Immerse yourself in the scholarly insights of International Journal of Artificial Intelligence in Education with our comprehensive guidelines detailing its aims and scope. This page is your resource for understanding the journal's thematic priorities. Stay abreast of trending topics currently drawing significant attention and explore declining topics for a full picture of evolving interests. Our selection of highly cited topics and recent high-impact papers is curated within these guidelines to enhance your research impact.
LanguageEnglish
ISSN1560-4292
PublisherSPRINGER
Support Open AccessNo
CountryUnited States
TypeJournal
Converge2000, from 2003 to 2024
AbbreviationINT J ARTIF INTELL E / Int. J. Artif. Intell. Educ.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressONE NEW YORK PLAZA, SUITE 4600 , NEW YORK, NY 10004, UNITED STATES

Aims and Scopes

The International Journal of Artificial Intelligence in Education (IJAIED) focuses on the intersection of artificial intelligence and education, aiming to advance knowledge and practice in this field through innovative research and applications.
  1. Integrating AI Technologies in Education:
    The journal explores how various artificial intelligence technologies, such as machine learning and natural language processing, can be integrated into educational practices to enhance learning outcomes.
  2. Learning Analytics and Student Modeling:
    A significant focus is placed on learning analytics, emphasizing methods for tracking, analyzing, and interpreting student data to improve educational experiences and outcomes.
  3. Personalized Learning Environments:
    The journal investigates the development of adaptive learning systems that tailor educational experiences to individual student needs, promoting personalized learning pathways.
  4. Ethics and Social Implications of AI in Education:
    Research in this area examines the ethical considerations and social implications of implementing AI in educational contexts, ensuring responsible use of technology.
  5. Teacher and Student Perspectives:
    The journal emphasizes understanding the perspectives of both educators and learners regarding the integration of AI tools in the classroom, fostering a collaborative approach to AI in education.
  6. Innovative Assessment Methods:
    IJAIED publishes studies on novel assessment techniques facilitated by AI, including automated scoring and feedback systems that enhance the evaluation process.
Recent publications in IJAIED highlight several emerging themes that reflect the evolving landscape of AI in education, showcasing innovative applications and methodologies that are gaining traction among researchers.
  1. Generative AI and Content Creation:
    There is a growing trend in exploring the use of generative AI tools, such as ChatGPT, for creating educational content, assisting in writing tasks, and enhancing learning materials.
  2. AI in Special Education:
    The journal has increasingly featured research focused on leveraging AI to support special education needs, indicating a commitment to inclusivity and accessibility in educational technology.
  3. AI Ethics and Responsible AI Use:
    Emerging discussions around the ethical implications of AI in education are becoming more prominent, emphasizing the need for responsible implementation of AI technologies.
  4. AI-Enhanced Collaborative Learning:
    Recent studies highlight the integration of AI in collaborative learning environments, focusing on how AI can facilitate group interactions and improve learning outcomes in social contexts.
  5. Adaptive Learning Technologies:
    Research on adaptive learning systems, which utilize AI to customize educational experiences based on real-time data about learner performance, is increasingly prevalent.
  6. AI Literacy and Educator Training:
    An emerging theme is the focus on developing AI literacy among educators, ensuring that they are equipped to integrate AI tools effectively in their teaching practices.

Declining or Waning

While the journal continues to embrace a broad range of topics, certain themes have shown a decline in prominence over recent years, possibly indicating shifts in research priorities or emerging interests.
  1. Traditional Assessment Methods:
    There has been a noticeable decrease in research focusing on conventional assessment methods as AI-driven assessment techniques gain traction and popularity among educators.
  2. General Educational Technology Trends:
    The focus on generic educational technology trends appears to be waning as the journal increasingly concentrates on specific applications of AI and machine learning in education.
  3. Non-AI-Centric Pedagogical Approaches:
    Research that does not incorporate AI or machine learning elements has become less frequent, suggesting a shift towards more technology-enhanced pedagogical strategies.
  4. Education Policy Discussions:
    While still relevant, discussions centered around broad education policy issues related to technology integration in education have become less prevalent compared to specific AI applications.

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