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Artificial Intelligence in Education: Innovations and Implications
This special issue belongs to the section “Evolutionary Algorithms and Machine Learning“.
Special Issue Information
Dear Colleagues,
We are pleased to invite you to contribute to the Special Issue on ‘Artificial Intelligence in Education: Innovations and Implications’ for the Algorithms journal. This Special Issue aims to explore the rapid advancements and transformative potential of artificial intelligence in the educational landscape. The details can be found below.
Artificial intelligence has dramatically reshaped various sectors and education is no exception. From personalized learning systems and adaptive assessments to intelligent tutoring and automated content generation, artificial intelligence is driving significant changes in how education is delivered. Recent advancements in machine learning, natural language processing and computer vision have enabled the creation of more intuitive educational tools that dynamically respond to individual learners' needs. As education evolves, it increasingly requires novel AI algorithms to address these changing needs. Artificial intelligence’s integration into education bridges the fields of artificial intelligence and educational technology and algorithms such as deep learning, image recognition and predictive analytics are central to the development of smarter, more adaptive learning systems. For example, understanding students' emotional states requires advanced algorithms for facial expression recognition, which can help gauge engagement and emotional responses. Artificial intelligence-powered vision algorithms can estimate students' head pose and gaze direction, offering valuable insights into attention levels during lessons. By analyzing this data, educators can identify whether students are focused or distracted, enabling them to make timely adjustments to improve engagement. Furthermore, artificial intelligence-driven knowledge graphs can model complex relationships between concepts, making learning materials more intuitive and personalized.
This Special Issue provides a platform for researchers to present their theoretical and technological studies on emerging artificial intelligence algorithms in education, particularly those related to adaptive learning, predictive analytics and real-time data processing. We invite contributions that explore how artificial intelligence can transform educational practices, from developing intelligent tutoring systems to creating dynamic learning environments. These advances have the potential to revolutionize educational technologies, making them more interactive, adaptive, and effective in meeting diverse learning goals.
In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:
- Large Language model-based algorithms for teaching/learning behavior analysis
- Face, gesture and body analysis algorithms in the classroom/online learning platform
- Vision-based head pose estimation and facial expression recognition algorithms
- Vision-based gaze estimation and human pose estimation algorithms
- AI-driven automated assessment and feedback technology
- Education knowledge graph construction and intelligent reasoning algorithms
- Scalable application of artificial intelligence in online education platforms
- Artificial intelligence-supported educational equity and inclusive education practices
- Artificial intelligence-powered intelligent tutoring system algorithms
- Algorithm-based intelligent agent learning environments
I look forward to receiving your contributions.
Dr. Tingting Liu
Dr. Hai Liu
Guest Editors
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. Algorithms 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 1800 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
- large language model-based algorithms for teaching/learning behavior analysis
- face, gesture and body analysis algorithms in the classroom/online learning platform
- vision-based head pose estimation and facial expression recognition algorithms
- vision-based gaze estimation and human pose estimation algorithms
- AI-driven automated assessment and feedback technology
- education knowledge graph construction and intelligent reasoning algorithms
- scalable application of artificial intelligence in online education platforms
- artificial intelligence-supported educational equity and inclusive education practices
- artificial intelligence-powered intelligent tutoring system algorithms
- algorithm-based intelligent agent learning environments
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