Dear Colleagues, 

In the last decade, technology-enhanced learning has surged ahead as an intriguing application field for multidisciplinary research, from the more traditional areas of education, higher education, assessment, and e-learning to the relatively newer subjects of learning analytics and technologies supporting education, such as recommender systems, machine learning, deep learning, and artificial intelligence.

The Internet and TEL have led to the exponential growth of distance education’s use and demand, and the 21st century seems to be the century of lifelong learning: people geographically and culturally spread across the globe, including companies, practitioners, students, and communities of practice, are involved in learning programs based on the use of educational material available both on specific e-learning platforms and on the Internet.

This landscape provides scholars, teachers, students, and other stakeholders involved in education with significant and exciting challenges in theory, development of software network-based systems, and practice. Examples of such challenges include the design and development of systems facilitating: 1) the production of learning analytics data and their visualization; 2) support for searching, recommending, integrating, and delivering learning materials on the network; and 3) the adaptation of educational experiences and their delivery to the specific learning needs and personal traits of the end-user (be it the student, the teacher, the community of learners or teachers, or the administrative manager).

All these systems use different strategies and techniques designed and implemented based on educational theories and computer science theoretical practical resources. This Special Issue aims to gather novel research work reporting on the innovation of established technologies and techniques and the development of new approaches that can boost the efficiency, effectivity, applicability, and use of TEL in schools, universities, and industry.

• Assessment in e-learning;
• Learning analytics;
• Machine learning and deep learning for education;
• Cloud-based e-learning;
• Computer-supported collaborative learning;
• Design, modeling, and framework of e-learning systems;
• Digital libraries and web corpora for e-learning;
• E-learning platforms and tools;
• Game-based learning and serious Games;
• Web-based learning;
• Educational data mining;
• Massive open online courses (MOOC);
• Mobile, situated, and blended learning;
• Personal learning environments (PLEs);
• Personalized and adaptive learning;
• Security and privacy of web-based learning;
• Semantic web and ontologies for e-learning;
• Virtual environments and 3D graphics for e-learning;
• Web 2.0 and social learning environments;
• Web-based learning for oriental language learning;
• Education technology (Edtech) and ICT for education;
• ICT for inclusion in quality education.

Dr. Filippo Sciarrone
Dr. Marco Temperini
Prof. Dr. Marc Spaniol 
Dr. Luigi Laura
Dr. Frederick W. B. Li
Guest Editors

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• technology-enhanced learning
• web-based learning
• MOOCs
• assessment in e-learning
• deep learning
• machine learning
• educational data mining