Intelligent Techniques, Platforms and Applications of E-learning

Dear Colleagues,

Technological development throughout human history has directly influenced social changes and, consequently, the well-being of society. The challenge of modern "digital" society seems even more significant, as the time dimension of technological development today is fundamentally different: exponential technological advancement, a global market, innovative entrepreneurial approaches, and various social changes are transforming the world as we know it. Adapting education to include innovative teaching methods and techniques supported by digital technology as well as such digital content and learning environments is the challenge we address in this Special Issue of Applied Science, titled “Intelligent Techniques, Platforms and Applications of E-learning”.

We expect contributions that support this field from both technical and didactic perspectives. The technical–technological aspect includes using smart and intelligent platforms as well as applications supported by artificial intelligence, virtual and augmented reality, generative artificial intelligence, learning analytics, AI-supported avatars, and more. These technologies enable new ways of interaction, individual adaptation of learning content, and the creation of more engaging and effective learning experiences. The didactic aspect focuses on learner-centered teaching, supported by innovative working methods enabled by these technologies, which include personalized learning paths, interactive learning content, collaborative learning platforms, and strategies that promote critical thinking as well as problem solving. Special attention is also given to ensuring equal access to these advanced technologies for all learners, regardless of socioeconomic circumstances.

In this Special Issue, we aim to explore and present examples of best practices, innovative research, and case studies highlighting how intelligent techniques, platforms, and applications can transform e-learning. The goal is to stimulate a broader discussion on the future of education in the digital age and to contribute to the development of effective and inclusive learning environments that will be ready for future challenges.

We invite researchers, educators, developers, and experts from various disciplines to contribute their findings, experiences, and visions for advancing e-learning. Your contributions will help shape the future of education, grounded in using intelligent techniques, platforms, and technologies for developing applications of e-learning and innovative teaching methods.

Prof. Dr. Boris Aberšek
Guest Editor

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. Applied Sciences is an international peer-reviewed open access semimonthly 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 2400 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
• innovative teaching methods
• cognitive modeling
• machine behavior