Special Issue "Data Mining and Computational Intelligence for E-learning and Education"
Deadline for manuscript submissions: 31 December 2022 | Viewed by 760
Interests: NonSQL databases; machine learning; artificial intelligence; e-learning; programming languages
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In recent decades, the rise of artificial intelligence has driven its application in various fields, including education. Applications can be found aimed at analyzing the data of the learning-teaching activity, both in the face-to-face environment and in distance-learning environments, through intelligent algorithms with the aim of extracting information about the educational process. From this information, it is possible to infer aspects such as the reasons for the success or failure of students, patterns of behavior and learning, and other predictions. Likewise, applications have also been developed that implement intelligent algorithms with the aim of automating the educational process. Related to this last point is the development of chatbots and approaches to ethics in the use of artificial intelligence. In this sense, an area of interest has developed relating to the application of artificial intelligence to problem solving in education. The objective of this Special Issue is to bring together works that show the latest advances in the application of artificial intelligence to the educational field, as well as those describing specific experiences and applications to certain problems.
The objective of this Special Issue is to serve as a meeting point for all researchers working in these fields, both theoretically and applied. The topics of interest include but are not limited to:
- Machine learning applied to e-learning and education;
- Artificial intelligence applied to e-learning and education;
- Big data and e-learning;
- Intelligent learning systems;
- Data analysis applied to e-learning and education;
- Intelligent systems for e-learning;
- Ethical aspects of the application of AI in education;
- E-learning analytics;
- Data mining for e-learning and education;
- Chatbots for education.
Both review articles on the state of the art and experimental or theoretical articles are welcome.
Prof. Dr. Antonio Sarasa Cabezuelo
Dr. Ramón González del Campo Rodríguez Barbero
Manuscript Submission Information
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- machine learning
- artificial intelligence
- data analysis
- big data