Dear colleagues, We're very glad to announce the No. 2, Vol. 15 (2019) of Journal of e-Learning and Knowledge Society (Je-LKS) is online! This issue, with the Guest Editors Veronica Rossano (University of Bari, Italy
) and Rita Francese (University of Salerno, Italy) is titled  “Educational Robotics: Research and Practices of Robots in Education”.

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Je-LKS NEWS

THE NEW CALL FOR PAPER - VOL. 15, N.3 - SEPTEMBER - LEARNING ANALYTICS: FOR A DIALOGUE BETWEEN TEACHING PRACTICES AND EDUCATIONAL RESEARCH

http://www.je-lks.org/index.php/component/content/article/8-journal/43-call-for-paper-n-3-2019

Guest Editors

Antonio Marzano, University of Salerno, Italy
Antonelle Poce, University of Rome TRE, Italy

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IMPORTANT DATES

Initial manuscripts due July, 20th, 2019

Notification and Review Comments September, 3rd, 2019

Camera Ready manuscript due September, 20th, 2019

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This call for papers is related to a special issue intended to collect theoretical, empirical and comparative contributions of educational and didactic research on the main topics covered in the conference on “Learning Analytics, for a dialogue between teaching practices and educational research” held in Rome 10 and 11 May 2019.

To better address the preparation of the papers, we refer to the definitions provided in (Chatti, Dyckhoff, Schroeder, & Thüs, 2012). In particular, Learning Analytics focuses on converting data from educational activities into actions that improve learning.

All aspects concerning institutional, academic and political issues are included in the topic of Academic Analytics. Among these, for example, the identification of students at risk, strategies to improve learning opportunities and educational outcomes; decisions on ethics, privacy or regulatory aspects; decisions that have an economic impact on the organization involved.

Finally, Educational Data Mining deals with how to analyse large sets of data related to learning and take value from them, i.e. the application of data mining techniques (such as clustering, classification, associative rules) on data from learning environments.

In the specific of the Learning Analytics, moreover, the call recalls the reference model and therefore invites the authors of the contributions to touch one or more of the dimensions indicated in it:

What: which environments and what types of data collect, manage and use for analysis;

Who: for which types of users to address the analysis;

Why: the purposes for which the data is analysed;

How: the methods and techniques with which data are analysed.

Topics of interest include but are not limited to:

•     Educational Data Mining: experiences, surveys and initiatives
•     Academic Analytics: experiences, surveys and initiatives
•     Learning Analytics: experiences, surveys and initiatives
•     Learning Experiences in the Smart City
•     Learning Experiences based on Virtual, Mixed and Augmented Reality
•     Online learning environments (LMS, MOOCs): experiences, surveys and
•     initiatives
•     Techniques and data collection methods in Blended learning experiences
•     Initiatives and surveys aimed at improving evaluation systems and tools in online systems
•     Initiatives and surveys aimed at increasing the success of teaching and learning activities.Review of the state of art in Robotics systems for education

Best Regards,

Nicola Villa

Je-LKS Editor Managing Editor

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