*** EDM2015: Call for Papers *** ========================================================================================== Educational Data Mining 2015 Special Session in The 2nd International Conference on Behavioral, Economic and Socio-Cultural Computing October 30 - November 1, 2015, Nanjing, China URL: http://www.edm2015.conferences.academy Submission System: https://easychair.org/conferences/?conf=edm20150 Accepted papers will be published in the main conference proceedings by IEEE and included in the IEEE Xplore Digital Library and EI Compendex. ========================================================================================== ========================== Important Dates ========================== Paper Submission Due: 31/7/2015 Author Notification Due: 20/8/2015 Camera Ready Due: 30/8/2015 ========================== Conference Scope ========================== Data mining provides educational institutions the capability to explore, visualize and analyze large amounts of data in order to reveal valuable patterns in students' learning behaviors without having to resort to traditional survey methods. Turning raw data into useful information and knowledge also enables educational institutions to improve teaching and learning practices, and to facilitate the decision-making process in educational settings. Thus, educational data mining is becoming an increasingly important research area with a specific focus to exploit the abundant data generated by various educational systems for enhancing teaching, learning and decision making. According to the Educational Data Mining community website (www.educationaldatamining.org), educational data mining (EDM) is defined to be "an emerging discipline, concerned with developing methods for exploring the unique types of data that come from educational settings, and using those methods to better understand students, and the settings which they learn in." ========================== Topics of Interest ========================== To further contribute to the understanding of educational data mining, we invite original articles in relevant topics, which include but are not limited to: - Data mining in education - Learning analytics - "Big Data" applications and opportunities in learning and education - Integrating data mining and pedagogical theory - Data mining with emerging pedagogical environments such as educational games and MOOCs - Recommender systems for learning - Best practices in educational data mining - Case studies ========================== Paper Submissions ========================== Submission is only electronic using the EDM2015 paper submission page linked here: https://easychair.org/conferences/?conf=edm20150 Paper submissions should be limited to a maximum of five (5) pages, in the IEEE 2-column format. All Submitted papers (via https://easychair.org/conferences/?conf=edm20150) will be reviewed by the Special Session Program Committee on the basis of technical quality, relevance to special session topics of interest, originality, significance, clarity, and result interpretation. ========================== Publication ========================== Accepted papers will be published in the main conference proceedings by IEEE and included in the IEEE Xplore Digital Library and EI Compendex. ========================== Organizers ========================== Dr. Guandong Xu, University Technology Sydney, Australia Dr. Gang Li, Deakin University, Australia Dr. Wu He, Old Dominion University, United States