ALICE 2020
10th International Workshop on Adaptive Learning via Interactive, Cognitive and Emotional approaches
In conjunction with 3PGCIC-2020: 15th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing
October 28-30, 2020, Yonago, Tottori, Japan

***Paper Submission Deadline: July 31, 2020 (extended) ***


Many researchers and developers argue that learners must be meaningfully engaged in the learning process for effective learning to occur. Engaging learners long enough to see them through to the end of a course is one of the most significant issues faced today in online education by learning engineers. Learning tools and resources are today more effective, interactive, and easily accessible than ever. Moreover, Artificial Intelligence based approaches, such as the use of conversational pedagogical agents and learning data analytics, promise to create beneficial synergies to relevant learning dimensions, resulting in students’ greater participation and performance while lowering drop-out rates and improving satisfaction and retention levels.

Nevertheless, many online education approaches still follow one-size-fits-all instruction with limited commitment to learner-learner and teacher-learner collaboration. Learners expect to be in control of their learning experience while in a supportive and collaborative environment. They expect the course material to be motivating, challenging, well linked to their prior knowledge and relevant to everyday lives and careers. For instance, MOOCs have been reported as an efficient and important educational tool, yet there is a number of issues related to their educational impact, such as an important number of dropouts during a course, little participation, and lack of learners’ motivation and engagement overall.

The 10th International Workshop ALICE 2020 aims at providing a forum for innovations in educational technologies for learning engineering especially designed to improve the engagement of learners in learning experiences. Works that combine adaptive techniques with approaches based on AI, conversational agents, learning and academic analytics are welcome as well as works describing approaches based on gamification, affective computing, social learning, storytelling, interactive video and new forms of assessment aimed at improving learners’ motivation and teachers’ experience. For this edition, special emphasis is given to approaches based on P2P, Parallel, Grid, Cloud and Internet Computing for Education in line with the topics of interest of the main conference 3PGCIC-2020. This edition of the Workshop is also supported by the European project colMOOC (

Academic researchers, professionals and practitioners are invited to report their ideas, models, designs and experiences on the proposed topics. Empirical results from real users in learning and training settings are particularly welcome in order to evaluate and discuss the impact of the proposed innovations.


The main topics of interest, within the scope of Learning Engineering, include, but are not limited to:
* Chatbots and Conversational Agents for online education
* Learning and Academic Analytics and Educational Data Mining
* Motivation, Metacognition, and Affective Aspects of Learning
* Collaborative and Social Learning
* Intelligent Tutoring Systems
* Massive Open Online Courses (MOOCs)
* New Approaches to Formative Assessment
* Educational use of Digital Storytelling
* Multimedia Systems for Education
* Gamification and Serious Games for Education
* Security Aspects of online education
* Artificial Intelligence and Ethics in online education
* Cloud, Cluster and P2P computing for Education
* Knowledge-Based Models and Technologies for online education


* Santi Caballé, Open University of Catalonia, Spain (co-chair)
* Nicola Capuano, University of Basilicata, Italy (co-chair)
* Jordi Conesa, Universitat Oberta de Catalunya, Spain
* Mario Dantas, Federal University of Juiz de Fora, Brazil
* Thanasis Daradoumis, University of the Aegean, Greece
* José Maria David, Federal University of Juiz de Fora, Brazil
* Giuliana Dettori, Italian National Research Council, Italy
* Sara de Freitas, Coventry University, UK
* Angelo Gaeta, University of Salerno, Italy
* David Gañán, Universitat Oberta de Catalunya, Spain
* Isabel Guitart, Universitat Oberta de Catalunya, Spain
* Christian Gütl, Graz University of Technology, Austria
* Jorge Miguel, Universitat Oberta de Catalunya, Spain
* Néstor Mora, Universitat Oberta de Catalunya, Spain
* Anna Pierri, University of Salerno, Italy
* Krassen Stefanov, Sofia University “St. Kliment Ohridski”, Bulgaria
* Joan Casas, Universitat Oberta de Catalunya, Spain


* Paper Submission Deadline: July 31, 2020
* Notification of Acceptance: August 7, 2020
* Camera-Ready Submission: August 15, 2020
* Registration: August 15, 2020
* Workshop and 3PGCIC Main Conference: October 28-30, 2020


Authors should submit a paper to the main conference in Springer format with maximum 10 pages in length, including all figures, tables, and references. However, authors can have two extra pages with the appropriate fee payment. Please format your paper as described in the†submission guidelines†of the main conference.

The file format of the initial submissions and final accepted papers should be PDF. In order to proceed with the submission, please use the same submission system of 3PGCIC-2020 and select “ALICE-2020” as the target workshop.


All accepted papers with paid registration will be included in the Proceedings of 3PGCIC-2020 within a volume of the Lecture Notes in Data Engineering and Communication Technologies series published by Springer. Proceedings will be indexed in EI, Scopus, ISI Proceedings, MetaPress and Springerlink. Submission implies the willingness of at least one of the authors to register and present the paper.

Selected papers from Workshop ALICE 2020 will be considered for publication in†International Journal of Emerging Technologies in Learning†(iJET) indexed in ESCI, Scopus, Compendex, Inspec and others.


Santi Caballé:

Nicola Capuano:

Leave a Reply

Your email address will not be published. Required fields are marked *