CSEDU 2021

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CHAIR

	Ana Azevedo CEOS.PP / ISCAP / P.PORTO Portugal

Brief Bio Ana Azevedo is an Integrated member of CEOS.PP research center and member of its Directive Board. She is a senior lecture in the Information Systems Department, School of Business / Polytechnic of Porto, Porto, Portugal, teaching courses on E-Commerce, Decision Support Systems, Business Intelligence, and Research Methodologies. She holds a PhD in Information Systems and Technologies, University of Minho, Portugal. She is member of the Scientific Board of the Master in E-Business. She published several articles in journals, conferences, and book chapters. 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), of the International Journal of Grid and Utility Computing (IJGUC), of the Electronic Journal of e-Learning (EJEL), and of the International Journal of Systems and Society (IJSS). She is chair of several conferences and special sessions in conferences. She served as editor for several books and special issues in journals. She regularly serves as member of the program committee for several conferences and also serves as a regular reviewer for several journals and conferences. She as several publications in Scientific Journals, Conferences and other. Her primary areas of research interests are Business Intelligence, Analytics, Decision Support Systems, Data mining, E-Business and Digital Transformation. Her research interests also include e assessment and gender issues in information systems research and STEM.

SCOPE

Analytics is an area 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.

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. In this special session we are interested in research papers focusing in two of the three domains, as presented by Cetis Analytics Series: domain of the teacher and learner, and domain of management and support systems

TOPICS

Authors are welcome to submit papers, discuss theory or research issues, demonstrate tools:

Analytics in e-learning Environments
Decision Support Systems in Educational Institutions
Learning Analytics
Educational Data Mining
Data Mining, Text mining, Web Mining
Analytics in e-assessment Applications
Educational Process Mining
Others Considered Relevant to this Area

IMPORTANT DATES

Paper Submission: February 24, 2021
Authors Notification: March 10, 2021
Camera Ready and Registration: March 18, 2021

SPECIAL SESSION PROGRAM COMMITTEE

Jose Azevedo, Politécnico do Porto (P.PORTO)/ISCAP and CEOS.PP, Portugal
Dumitru Burdescu, University of Craiova, Romania
Daniel Burgos, ., Spain
Adriana Burlea, University of Craiova, Romania
Martin Bush, London South Bank University, United Kingdom
Manuel Perez Cota, Universidade de Vigo, Spain
Elsa Gomes, ISEP-IPP, Portugal
Bertil Marques, ISEP, Portugal
Demetrios Sampson, University of Piraeus, Greece
Anthony Scime, The College at Brockport, State University of New York, United States

PAPER SUBMISSION

Prospective authors are invited to submit papers in any of the topics listed above.
Instructions for preparing the manuscript (in Word and Latex formats) are available at: Paper Templates
Please also check the Guidelines.
Papers must be submitted electronically via the web-based submission system using the appropriated button on this page.

PUBLICATIONS

After thorough reviewing by the special session program committee, all accepted papers will be published in a special section of the conference proceedings book - under an ISBN reference and on digital support - and submitted for indexation by SCOPUS, Google Scholar, The DBLP Computer Science Bibliography, Semantic Scholar, Microsoft Academic, Engineering Index (EI) and Web of Science / Conference Proceedings Citation Index.
SCITEPRESS is a member of CrossRef (http://www.crossref.org/) and every paper is given a DOI (Digital Object Identifier).
All papers presented at the conference venue will be available at the SCITEPRESS Digital Library

AUTHOR'S KIT

Guidelines
Templates
Glossary
Norms and Plagiarism

SECRETARIAT CONTACTS

CSEDU Special Sessions - A2E 2021
e-mail: csedu.secretariat@insticc.org