Research Topic

Artificial Intelligence Techniques for Personalized Educational Software

About this Research Topic

Adaptive Educational hypermedia systems are technologically advanced applications aiming to provide immediate and tailored instruction or feedback to learners. Their extensive use in education is completely transforming human life, especially during the COVID-19 pandemic. While secure, scalable, and feature-packed learning technology applications are in high demand, the desire for interacting with customized content is ever-growing. As such, further to adaptive learner interfaces, users are searching for smart learning technology systems with highly personalized user experience. As a result, the need for redefining their conventional development is significant. Artificial Intelligence (AI) can face these challenges and implement innovative digital techniques and tools in education. Using intelligence techniques as, for example, machine learning, deep learning, neural networks, reinforcement learning, fuzzy logic, cognitive maps, genetic algorithms among others, these systems provide innovative features adjusted to human needs and interests. AI makes educational software more user-centric, helps the implementation of complex tasks and the process of huge data minimizing their execution time, and optimizes the entire system functionality.

Research in adaptive educational hypermedia systems faces numerous challenges, many of which are related to representing a dynamic physical learning environment computationally and applying it to real-world tutoring problems. In view of this, this Research Topic emphasizes the intelligent methods for Learner-Interface Interaction and Personalized Educational Software as well as interdisciplinary research for enabling, supporting, and promoting AI techniques in its development. It aims to regroup and promote high-quality research on the field, creating a forum for challenges and novel advancements in AI in education to be explored. While a great deal of research has been presented in the field, there is significant room for improvement in this direction. This Research Topic focuses on triggering an exchange of ideas in the field, on reinforcing and expanding the network of researchers, academics, and market representatives. It is intended for both experts/researchers and practitioners in the fields of artificial and computational intelligence in intelligent tutoring systems as well as eLearning. The Research Topic aspires to capture the state of the field and articulating an agenda that will push the fields of personalized educational software and learner-interface interaction in new directions.

This Research Topic will offer a forum for the constructive interaction and prolific exchange of ideas among scientists and practitioners on a range of state-of-the-art research fields. Topics will include, but are not limited to:
●  Adaptive / Personalized strategies and systems in education
● Interactive Machine learning in education
● Augmented Intelligence
● Intelligent User interfaces in learning technology systems
● Cognitive Science in education
● Intelligent techniques (e.g. deep learning, neural networks, reinforcement learning, fuzzy logic, cognitive maps, genetic algorithms, etc.) in education


Keywords: Personalized Software, Human-Computer Interaction, Augmented Intelligence, Intelligent techniques, Artificial Intelligence, Intelligent Tutoring Systems, Adaptive educational hypermedia systems


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

Adaptive Educational hypermedia systems are technologically advanced applications aiming to provide immediate and tailored instruction or feedback to learners. Their extensive use in education is completely transforming human life, especially during the COVID-19 pandemic. While secure, scalable, and feature-packed learning technology applications are in high demand, the desire for interacting with customized content is ever-growing. As such, further to adaptive learner interfaces, users are searching for smart learning technology systems with highly personalized user experience. As a result, the need for redefining their conventional development is significant. Artificial Intelligence (AI) can face these challenges and implement innovative digital techniques and tools in education. Using intelligence techniques as, for example, machine learning, deep learning, neural networks, reinforcement learning, fuzzy logic, cognitive maps, genetic algorithms among others, these systems provide innovative features adjusted to human needs and interests. AI makes educational software more user-centric, helps the implementation of complex tasks and the process of huge data minimizing their execution time, and optimizes the entire system functionality.

Research in adaptive educational hypermedia systems faces numerous challenges, many of which are related to representing a dynamic physical learning environment computationally and applying it to real-world tutoring problems. In view of this, this Research Topic emphasizes the intelligent methods for Learner-Interface Interaction and Personalized Educational Software as well as interdisciplinary research for enabling, supporting, and promoting AI techniques in its development. It aims to regroup and promote high-quality research on the field, creating a forum for challenges and novel advancements in AI in education to be explored. While a great deal of research has been presented in the field, there is significant room for improvement in this direction. This Research Topic focuses on triggering an exchange of ideas in the field, on reinforcing and expanding the network of researchers, academics, and market representatives. It is intended for both experts/researchers and practitioners in the fields of artificial and computational intelligence in intelligent tutoring systems as well as eLearning. The Research Topic aspires to capture the state of the field and articulating an agenda that will push the fields of personalized educational software and learner-interface interaction in new directions.

This Research Topic will offer a forum for the constructive interaction and prolific exchange of ideas among scientists and practitioners on a range of state-of-the-art research fields. Topics will include, but are not limited to:
●  Adaptive / Personalized strategies and systems in education
● Interactive Machine learning in education
● Augmented Intelligence
● Intelligent User interfaces in learning technology systems
● Cognitive Science in education
● Intelligent techniques (e.g. deep learning, neural networks, reinforcement learning, fuzzy logic, cognitive maps, genetic algorithms, etc.) in education


Keywords: Personalized Software, Human-Computer Interaction, Augmented Intelligence, Intelligent techniques, Artificial Intelligence, Intelligent Tutoring Systems, Adaptive educational hypermedia systems


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

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Submission Deadlines

07 May 2021 Abstract
04 September 2021 Manuscript

Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals:

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Topic Editors

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Submission Deadlines

07 May 2021 Abstract
04 September 2021 Manuscript

Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals:

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