Present and Future of E-Learning Technologies (2nd Edition)

Dear Colleagues,

Over recent decades, the landscape of education and training has been transformed by the proliferation of e-learning, which has evolved to become more accessible, user-friendly, and omnipresent. This evolution has necessitated the development of a plethora of innovative technologies, including learning management systems, standardization specifications, tools for generating educational content, and sophisticated digital repositories enhanced by recommendation systems. Now, a new wave of technologies, predominantly rooted in artificial intelligence, such as data analysis, big data, cloud computing, and the Internet of Things, is poised to further enrich and personalize the e-learning experience of tomorrow.

Amidst these advancements, novel avenues of inquiry have emerged within the field, encompassing learning analytics, gamification, virtual assistants, and the integration of sensor technology for assessing learning processes, among others. Consequently, there arises a pivotal question: how will e-learning evolve in response to the seamless integration of these new technologies with existing software architectures and pedagogical methodologies?

In this Special Issue, we invite contributions that showcase the convergence of learning design with the implementation of innovative technologies to cultivate optimal, inclusive, and personalized learning environments. Furthermore, we encourage exploration into the symbiotic relationship between generative intelligence and e-learning, envisioning the transformative potential this alliance holds for the future of education.

We welcome submissions on a variety of topics, including, but not limited to, the following:

• The impact of artificial intelligence on personalized learning experiences;
• Leveraging big data in e-learning for enhanced educational outcomes;
• Exploring the role of learning analytics in shaping pedagogical strategies;
• Gamification techniques for engaging and motivating e-learners;
• Integrating virtual assistants into e-learning platforms for seamless user experience;
• Sensor technology applications in assessing and enhancing learning processes;
• The future of e-learning: a convergence of innovative technologies and pedagogical approaches.

Authors are encouraged to contribute their research, case studies, and insights on these topics to advance our understanding of how these technologies can shape the future of e-learning.

Prof. Dr. Antonio Sarasa Cabezuelo
Guest Editor

Manuscript Submission Information

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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 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.

• 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