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Artificial Intelligence and Educational Psychology

This special issue belongs to the section “Educational Psychology“.

Special Issue Information

Dear Colleagues,

As the Guest Editor of this Special Issue, I present a collection of thought-provoking articles that delve into the intersection of artificial intelligence (AI) and educational psychology, with a particular focus on behavior analysis. This compilation aims to explore how AI can be leveraged to enhance our understanding of student behavior, personalize learning experiences, and improve educational outcomes.

This Special Issue begins with an overview of AI's role in shaping educational psychology, highlighting advancements in data-driven insights and predictive analytics. Subsequent articles examine the ethical implications of AI in educational settings, ensuring that the technology is used responsibly and with respect for student privacy.

Contributors from various disciplines discuss the practical applications of AI in behavior analysis, including the use of machine learning algorithms to identify patterns in student engagement and the development of adaptive learning systems that respond to individual needs. Case studies showcase successful implementations of AI in classrooms, demonstrating improved student performance and teacher satisfaction.

This Special Issue concludes with a forward-looking discussion on the future of AI in education, considering the potential for AI to revolutionize pedagogical approaches and the challenges that lie ahead in integrating these technologies into the educational landscape.

This Special Issue is a must-read for educators, researchers, and policymakers interested in the transformative potential of AI in shaping the future of education and behavior analysis.

Prof. Dr. Manli Li
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Behavioral Sciences is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • educational artificial intelligence
  • educational data mining
  • AI tutoring systems
  • collaborative learning
  • learning analytics
  • personalized learning
  • educational governance with AI
  • intelligent recommender systems
  • self-adaptive learning
  • affective computing
  • value sensitive design

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Behav. Sci. - ISSN 2076-328X