Smart Learning
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: closed (30 April 2020) | Viewed by 93192
Special Issue Editors
Interests: information systems, human factors in computing; project management in information-systems development; global and distributed software-engineering; systems, services, and software process improvement and innovation; management information systems; business software; innovation in IT
Special Issues, Collections and Topics in MDPI journals
Interests: mentoring & coaching; education and technology; emotions and values; crosscultural studies; human factors in technology; people management; technology human resources management; intellectual capital
Interests: information systems; human factors in computing; project management in information-systems development; global and distributed software-engineering, systems, services, and software process improvement and innovation; management information systems; business software; innovation in IT
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Artificial intelligence has an extensive application area. Nowadays, machine intelligence issues have gone beyond academic publications to be discussed in mass media such as newspapers, TV shows, and so on.
The educational field is not an exception; even artificial intelligence has a very long tradition in supporting the learning processes with intelligent assistants or tutors, recommending educational materials, predicting students’ behaviors, and managing vast amounts of data. However, big data, machine learning, or deep learning techniques provide significant potential for this purpose, leading to new applications, more efficient operations, and more human approaches. These methodologies enable digging massive databases, enhancing the knowledge base, and producing new data model-based applications and services for the educational community.
The development of smart learning services with the technologies mentioned above will allow advancing to more effective teaching and learning services, with powerful possibilities for teachers and new ways to permit a more self and autonomous for students, with special attention given to a mixture of formal and informal learning approaches.
This Special Issue is oriented to present a collection of papers of original advances in educational applications and services propelled by artificial intelligence, big data, machine learning, and deep learning.
Prof. Dr. Francisco José García-Peñalvo
Prof. Dr. Ricardo Colomo-Palacios
Prof. Dr. Aman Yadav
Dr. Cristina Casado-Lumbreras
Guest Editors
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Keywords
- Extraction information from educational environments
- Internet of Things applied to education
- Educational data mining
- Cloud computing in education
- Data Mining and big data analysis
- Intelligent systems for education
- Machine and deep learning in education
- Diagnostic and predictive analytics in educational processes
- Intelligent process applied in specific educational domains
- Activity recognition in education
- Data authentication and security in educational environments
- Privacy-preserving systems for education
- Computational models in education.
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