Call for Papers - 13th International Conference on Methodologies and Intelligent Systems for Technology Enhanced Learning (MIS4TEL 2023)

Scope

Education is the cornerstone of any society, and it serves as one of the foundations for many of its social values and characteristics. State-of-the-art, new interactive technologies and novel methodologies allow researchers, designers, and domain experts to pursue Technology Enhanced Learning (TEL) solutions targeting not only cognitive and social processes but also motivational, personality, or emotional factors. Nowadays, we can identify two main strands, providing necessary and complementary strengths to a TEL-oriented design process: appropriate technologies should be applied, and appropriate methods should guide the design and implementation of such applications. Technologies in TEL are capable of delivering smart, personalized, tailored, and motivating learning solutions. Methods are coming from different fields, such as education, psychology, sociology, computer science, and from diverse communities, where collaboration and co-working are used, such as maker communities and participatory design communities. In addition, current trends concerning the use of Artificial Intelligence (AI) and Learning Analytics (LA) can help manage available (big) data and augment learning opportunities for learners (for instance by supporting self-regulated learning or adaptation of the learning material) and educators (for example, providing information about learners progression or facilitating reflections about teaching approaches and experiences).

As to these topics, the annual appointment of MIS4TEL established itself as a consolidated fertile forum where scholars and professionals from the international community, with a broad range of expertise in the TEL field, share results and compare experiences. The 13th edition of the conference calls for novel research in TEL and expands the topics of the previous editions, highlighting the role of the most recent methods and technological opportunities. As in the tradition of MIS4TEL, this edition aims at offering the different perspectives, and complementary voices, coming from the multidisciplinary field of TEL.

MIS4TEL 2023 will be held in Guimarães (Portugal) on 12th-14th July, 2023, in parallel with the PAAMS'23 International Conference.

Topics

Technologies and technology-based solutions for TEL

AI technologies and tools for TEL
Agent-based and multi-agent TEL systems
Knowledge representation, reasoning and management systems for TEL
Natural language systems for TEL
Recommendation, personalisation and adaptation in TEL systems
Social networks for TEL
Massive Open Online Courses (MOOC) for TEL
Internet of things (IoT) solutions for TEL
Smart solutions or environments for TEL
Wearable technologies for TEL
Robotics for TEL
Virtual reality environments for TEL
Games for TEL or gamified TEL
Sharing and interoperability between TEL environments
Making and fabrication for TEL

Methodologies and experiences for TEL

Methodologies for personalisation, user modelling and adaptation in TEL
Methodologies for recommendation systems and user modelling in TEL
Methodologies for fostering motivation and engagement in TEL
Methodologies for the design of accessible and usable TEL systems
Methodologies for including different voices in the design process of TEL
Methodologies for informal learning for TEL
Methodologies for fostering TEL in small, medium and large companies
Methodologies, tools and frameworks supporting experiments in TEL
Methodologies or approaches from game design and gamification for TEL
Novel experiences and studies (e.g., case studies, ethnographic studies, field studies, experimentations) with methodologies for TEL

Learning analytics and AI for TEL

Big data and data visualisation in TEL
Learning analytics for curriculum design
Learning analytics for personalising the learner experience
Learning analytics for predicting behaviour
Learning analytics for designing learning interventions
Learning analytics for stakeholders
Ethical perspectives concerning the collection of data and use of learning analytics
Novel applications of AI in Education
New approaches for the design, use, and evaluation of Human-AI Hybrid Systems to support teaching and learning

Tracks

#1 Digital Technologies integration in the classroom

Schools and higher education institutions are gradually implementing the use of information and communication technologies (ICTs) in the classrooms. Consequently, the teaching -and learning- processes are still to be reinvented and teachers relentlessly face new ways of dealing with their profession. The purpose of this track is to provide a forum to discuss the challenges posed by these technologies in the teaching profession and to offer practical answers for teachers to better make use of them (i.e., not only the technical mastery but also the application of pedagogical strategies to promote students’ learning).

It has been demonstrated that transferring existing programs or traditional lectures does not represent authentic ways of technology integration. The move from teacher-centered instruction to student based learning using interactive environments requires more complex solutions. It is therefore crucial for teachers (both pre-service and in-service) to be able to efficiently use these new tools. Teacher education programmes must then provide the means, models and frameworks to cope with the needs for the new forms of teaching and learning.

The main topics regarding this track are related but not limited to the following ones:

Pre-service and in-service professional development education.
Teacher Mentoring and coaching.
Online and blended teaching
Self-study to make sense of new ways of online teaching
Promotion of web based learning, e-learning, and learning objects in classroom.
Teachers’ technological competences and skills in classroom.

Teachers’ practical knowledge (content, pedagogical and technological)
Teachers’ Collaborative Learning and Teachers’ beliefs.
New teaching methodologies (e.g., gamification).
Action research and reflection processes for ICT.
Educational inclusion (Challenges, accessibility, awareness and tools).

Chairs:

María Cruz Sánchez-Gómez, University of Salamanca (Spain)
Juan José Mena, University of Salamanca (Spain)

#2 AI for education

In recent years, there has been a great development in Technology Enhanced Learning, caused greatly by the distance learning exponential growth due to the COVID-19 pandemic. As a result, many applications of data analysis and modeling of learning processes, based on emergent AI techniques and method such as machine learning and deep learning, have been proposed. In line with this trend, the main goal of this track, connected to the MIS4Tel 2023 conference, is to discuss and evaluate the contribution that AI, as one of the Technology Enhanced Learning approaches, is bringing to the educational field, especially in the last years. This track is intended to be a great opportunity for researchers and practitioners in the field, both to discuss new ideas and to explore some important aspects regarding the close relationship between AI from an application and theoretical point of view.

The topics of interest for this special session include, but are not limited to:

Deep Learning and education
IoT applications in education
MOOCs
Peer Assessment
IRT
Learning Analytics
Intelligent Adaptive Learning Environment
Affective Computing in Education
Artificial Intelligence algorithms in Education
Artificial Neural Networks in Education
Human-Computer Interaction in Teaching System
Artificial Intelligence in Student Evaluation

Assessing Student Performance using Artificial Intelligence
Educational Robotics
Data Mining, Text Mining and Web Mining in Education
Intelligent Agent-based Learning Environments
Smart Chatbots in Education
Intelligent Tutoring Systems
Virtual reality and Augmented Reality based Learning Systems
Pedagogical Artificial Agents
Digital Assistants
Metaverse and education

Chairs:

Dalila Durães, University of Minho (Portugal)
Filippo Sciarrone, Universitas Mercatorum (Italy)

Submissions

Review process

MIS4TEL welcomes the submission of papers and gives preference to the topics listed under the call. All submitted papers will undergo a thorough review process; each paper will be refereed by at least three experts in the field based on relevance, originality, significance, quality and clarity.

The papers must consist of original, relevant and previously unpublished sound research results related to any of the topics of the conference.

Submitting papers

MIS4TEL papers must be formatted according to the Springer LNNS Template, with a maximum length of 10 pages in length, including figures and references. All proposed papers must be submitted in electronic form, in PDF format, using the Paper Submission Page.

Publication

Accepted papers will be included in the MIS4TEL Proceedings published by LNNS series of Springer Verlag (http://www.springer.com/series/15179). At least one of the authors will be required to register and attend MIS4TEL to present the paper in order to have it included in the conference proceedings.

** Indexing: The books of this series are submitted to DBLP, INSPEC, Norwegian Register for Scientific Journals and Series, SCImago, SCOPUS, WTI Frankfurt eG, zbMATH, Google Scholar, Springerlink. **

Special Issues

MDPI Systems Journal — Authors of selected papers from PAAMS and Co-located Events will be invited to submit an extended and improved version to a Special Issue "Frontiers of Agents and Multiagent Systems" published in MDPI Sensors Journal (ISSN: 1424-8220, JCR (2021): 3.847 (Q2))

To Be Updated

Important dates

Submission deadline: ~~24th March, 2023~~ 14th April, 2023
Notification of acceptance: 3rd May, 2023
Camera-Ready papers due: 19th May, 2023
Conference Celebration: 12th-14th July, 2023

Committee

General Co-Chairs

Marcelo Milrad - Linnaeus University (Sweden)
Nuno Otero - University of Greenwich (United Kingdom)

Track Chairs

María Cruz Sánchez-Gómez - University of Salamanca (Spain) - Digital Technologies integration in the classroom
Juan José Mena - University of Salamanca (Spain) - Digital Technologies integration in the classroom
Dalila Durães - University of Minho (Portugal) - AI for Education
Filippo Sciarrone - Universitas Mercatorum (Italy) - AI for Education