Adaptive E-Learning Technologies and Experiences

Dear Colleagues,

Adaptive learning is an innovative approach that focuses on personalizing the learning experience for each student, adapting to their individual needs and learning styles. Adaptive learning may use technologies, algorithms, and analytics to design learning experiences tailored to each student, which can significantly improve learning outcomes and student motivation. Even though, in recent years, adaptive learning has advanced due to new technologies and the increase in distance learning activity due to lockdown, the use of generative intelligence poses new opportunities while creating new issues related to its use within learning experiences.

For this Special Issue, we invite contributions that showcase the convergence of learning design with the implementation of innovative technologies to cultivate purposeful, inclusive, and personalized learning experiences. Furthermore, we encourage explorations 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:

• Experiences in adaptive learning;
• Integration of machine learning algorithms into online learning platforms;
• Impact of adaptive learning on student retention and achievement;
• Challenges and limitations in the implementation of adaptive learning;
• Evaluation and optimization of machine learning algorithms;
• Impact on higher education;
• Personalization of content and pace of learning;
• Data analysis and real-time feedback;
• Integration with other educational systems and tools;
• Evaluation of effectiveness and efficiency;
• Development of skills and competencies.

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

Dr. Jordi Conesa Caralt
Prof. Dr. Antonio Sarasa Cabezuelo
Guest Editors

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 250 words) can be sent to the Editorial Office for assessment.

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.