Conference Description:

Within the 11th International Conference on Computer Supported Education - CSEDU 2019

SCOPE

Analytics is a topic of growing interest in the research communities. INFORMS defined analytics as the scientific process of transforming data into insights with the purpose of making better decisions. Being grounded on the area of decision support systems, the area of analytics has got a vast range of applications. One important application concerns educational environments, where the three types of analytics, namely, descriptive, predictive, and prescriptive are being applied.
We can say that one of the main applications is related to assessment, in order to improve its quality. The use of LMS where the activity of the students’ can be easily accessed, potentiated the use of analytics to understand their route during the learning process, thus they can be helped to improve during that process. Also, the use of analytics from the school’s managers, can help them to take better decisions.

IMPORTANT DATES
Paper Submission: February 28, 2019
Authors Notification: March 15, 2019
Camera Ready and Registration: March 25, 2019

SPECIAL SESSION PROGRAM COMMITTEE
Dumitru Burdescu, University of Craiova, Romania
Elsa Gomes, ISEP-IPP, Portugal
Jose Manuel Azevedo, Politécnico do Porto (P.PORTO)/ISCAP and CEOS.PP, Portugal
Anabela Mesquita, ISCAP / IPP, Portugal
Adriana Schiopoiu Burlea, University of Craiova, Romania
Anthony Scime, The College at Brockport, State University of New York, United States

CHAIR
Ana Azevedo
CEOS.PP-ISCAP/IPP
Portugal

Brief Bio
Ana Azevedo is an associate professor in the Information Systems Department, ISCAP/ Polytechnic of Porto, Porto, Portugal. She holds a PhD in Information Systems and Technologies, University of Minho, Portugal. She published several articles in journals, conferences, and book chapters, as well as edited books. She is associate editor of the International Journal of Technology and Human Interaction (IJTHI). She is a member of the Editorial Review Board of the International Journal of Decision Support System Technology (IJDSST), of the International Journal of Business Intelligence Research (IJBIR), and of the Electronic Journal of e-Learning (EJEL). She also serves as a regular reviewer as a member of the program committee for several conferences. Her primary areas of research interests are Decision Support Systems, Data mining, and Business Intelligence. Her research interests also include e assessment.

SCOPE

CSEDU 2019, the International Conference on Computer Supported Education, is a yearly meeting place for presenting and discussing new educational tools and environments, best practices and case studies on innovative technology-based learning strategies, and institutional policies on computer supported education including open and distance education. CSEDU 2019 will provide an overview of current technologies as well as upcoming trends, and promote discussion about the pedagogical potential of new educational technologies in the academic and corporate world. CSEDU seeks papers and posters describing research work; academic or business case-studies; or advanced prototypes, systems, tools, and techniques. Full research reports (regular papers) and work-in-progress reports (position papers) are welcome, as well as general survey papers discussing future directions. Suggested topics are listed below in the section, “Conference Areas.” All papers must describe original work not previously published or submitted to another conference. Acceptance will be based on quality, relevance, and originality. Accepted papers, presented at the conference by one or more of the authors, will be published in the Proceedings of CSEDU under an ISBN and indexed by major indexes. Special sessions dedicated to case-studies and commercial presentations, as well as tutorials dedicated to technical/scientific topics, are also envisaged. Companies interested in presenting their products/methodologies or researchers interested in holding a tutorial, workshop, or special session are invited to contact the conference secretariat or visit the conference website.

CONFERENCE AREAS

Each of these topic areas is expanded below but the sub-topics list is not exhaustive. Papers may address one or more of the listed sub-topics, although authors should not feel limited by them. Unlisted but related sub-topics are also acceptable, provided they fit in one of the following main topic areas:
1. ARTIFICIAL INTELLIGENCE IN EDUCATION
2. DOMAIN APPLICATIONS AND CASE STUDIES
3. INFORMATION TECHNOLOGIES SUPPORTING LEARNING
4. LEARNING/TEACHING METHODOLOGIES AND ASSESSMENT
5. SOCIAL CONTEXT AND LEARNING ENVIRONMENTS
6. UBIQUITOUS LEARNING

AREA 1: ARTIFICIAL INTELLIGENCE IN EDUCATION
Adaptive Educational Systems
Intelligent Teacher Dashboards
Intelligent Modelling
Authoring Tools for Intelligent Tutoring Systems
Learning with AI Systems
Agent-based Learning Environments
Architectures for AI-based Educational Systems
Gamification for Learning

AREA 2: DOMAIN APPLICATIONS AND CASE STUDIES
e-Learning Case Studies
Health Sector Applications
Intelligent Learning and Teaching Systems
Pre-K/K-12 Education

AREA 3: INFORMATION TECHNOLOGIES SUPPORTING LEARNING
Authoring Tools and Content Development
Virtual and Augmented Learning Environments
Synchronous and Asynchronous Learning
Educational Data Mining
Classroom Management
e-Learning Hardware and Software
e-Learning Platforms, Portals
Tools for Educational Communication and Collaboration
Intelligent Tutoring Systems
Learning Analytics

AREA 4: LEARNING/TEACHING METHODOLOGIES AND ASSESSMENT
Tools to Assess Learning
Instructional Design
Mentoring and Tutoring
Metrics and Performance Measurement
Project Based Learning and Engineering Education
Blended Learning
Faculty Development
Game-based and Simulation-based Learning
Higher Order Thinking Skills
Immersive Learning
Flipped Classroom

AREA 5: SOCIAL CONTEXT AND LEARNING ENVIRONMENTS
Assessment and Accreditation of Courses and Institutions
Lifelong Learning: Continuing Professional Training and Development
Theoretical Bases of e-Learning Environments
Social Computing for Learning and Knowledge Sharing
Computer-Supported Collaborative Learning
Community Building
Vocational Training
Course Design and e-Learning Curriculae
Active Learning
Constructivism and Social Constructivism

AREA 6: UBIQUITOUS LEARNING
Universal Design for Learning
Cloud-based Learning and Assessment
Context Dependent Learning
Distance Education
Mobile Learning (M-learning)
Virtual Labs and Virtual Classrooms
Massive Open Online Courses

KEYNOTE SPEAKERS
Maria Roussou, University of Athens, Greece
Michael Baker, CNRS, France

Please contact the event manager Marilyn ([email protected] ) below for:
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