Special Issue "Present and Future of E-Learning Technologies"
A special issue of Computers (ISSN 2073-431X).
Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 10746
Interests: NonSQL databases; machine learning; artificial intelligence; e-learning; programming languages
Special Issues, Collections and Topics in MDPI journals
Topical Collection in Applied Sciences: The Application and Development of E-learning
Special Issue in Medicina: Statistical Techniques and Machine Learning Algorithms Applied to the Prediction of Survival in Organ Transplants
Special Issue in Knowledge: Big Data and Databases
Special Issue in Algorithms: Artificial Intelligence Algorithms for Medicine
Special Issue in Data: Data Mining and Computational Intelligence for E-learning and Education
Special Issue in Applied Sciences: The Application, Development and Learning of NoSQL
In recent decades, e-learning has spread in the field of education and training, becoming more open, easy to achieve and more ubiquitous. It has been necessary to develop a huge amount of innovative technologies such as learning management systems, specifications for standardization, educational content generation tools or sophisticated digital repositories with recommended systems. New technologies are invading the landscape now, mainly based on artificial intelligence techniques—data analysis, big data, cloud computing or internet of things—which will enrich and personalize the e-learning environments of the future.
With all of the above, new lines of work have emerged in the field: learning analytics, gamification, virtual assistants, the use of sensors to assess learning processes, etc. Now, the question arises of how e-learning will evolve due to the influence and the natural integration of these new technologies with the existing software architectures and pedagogical methodologies.
In this Special Issue, we are interested in receiving contributions that will show the integration of learning design and the introduction of innovative technologies to achieve the best, most inclusive and most personalized learning environments.
Dr. Antonio Sarasa Cabezuelo
Dr. Covadonga Rodrigo San Juan
Dr. Santi Caballé Llobet
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 100 words) can be sent to the Editorial Office for announcement on this website.
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. Computers 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 1400 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.
- e-learning standards and specifications
- quality in e-learning
- instructional design, educational resources repositories
- artificial intelligence applied to e-learning
- creation of digital educational content
- data science for e-learning
- experiences in e-learning