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Call for papers: the First International Workshop on Educational and Scholar Big Data Analytics
In conjunction with the 7th Asia Conference on Machine Learning (ACML2015)
We invite submissions to the workshop on Educational and Scholar Big Data Analytics in conjunction with 7th Asia Conference on Machine Learning (ACML2015), to be held on November 20-22, 2015 at Hong Kong, SAR, China.
We particularly solicit submissions that look into machine learning applications on educational and scholar big data with an actual impact in the future of learning, teaching and researching. Appreciating this impact requires an interdisciplinary approach and the coming together of different stakeholders. The workshop will therefore bring practitioners and industry representatives together with researchers from computer science, machine learning and data mining, social network analysis, artificial intelligence in education, intelligent tutoring systems, education, learning sciences, psychometrics, statistics and cognitive psychology.
Topics
The topics of interest include, but are not limited to:
Systems, platforms and services exploring the Web of education or academic
Methods and tools for analyzing academic or educational data
Knowledge discovering from academic data and network
Academic social network analysis
Mining user’s learning and research behavior
Identifying research trends and topics
Indexing and searching in large scale academic data
Application and use case of educational or scholarly data
Information Extracting for scholarly data
Scientific measurement
Learning representations of domain knowledge from data
Detecting and addressing students’ emotional states
Data mining with emerging pedagogical environments such as MOOCs, and exploratory learning
Mining results of automated feedback and grading
Mining results of learning resources usage logs
Practices for adapting analytic techniques from information retrieval, recommender systems, social network analysis, opinion mining, auto scoring, and user profiling to the educational domain
Generic frameworks, techniques, research methods and approaches for educational big data
The workshop invites original research contributions as well as reports on prototype systems from research communities dealing with different theoretical and applied aspects of academic or educational data. Submissions will be evaluated on the basis of significance, originality, technical quality, and exposition. Papers should clearly establish the research contribution, and relation to previous research. Position and survey papers are also welcome.
Paper Format
Papers should be written in English and formatted according to ACML regular paper format. The maximum length of papers is 10 pages in this format. Please download the file ACML2015_Template.zip for the LaTex template and style file (the files are extracted from http://www.tex.ac.uk/tex-archive/help/Catalogue/entries/jmlr.html. you may also download and use the entire package from there).
Paper Format
Papers should be submitted to ESBD2015 Submission Site.
Based on the quality, papers accepted will be advised to submit their extended version to special issues of Journal of Electronic Science and Technology and Neurocomputing.
Important Dates
Paper Submission: September 11, 2015
Author Notification: September 30, 2015
Camera-Ready: October 30, 2015
Invited Speakers (Tentative)
Irwin King, The Chinese University of Hong Kong, Hong Kong
Jie Tang, Tsinghua University
Tao Zhou, University of Electronic Science and Technology of China, China
Organizing Committee
Zenglin Xu, University of Electronic Science and Technology of China, China
Jie Tang, Tsinghua University, China
Yu Liu, Dalian University of Technology
Defu Lian, University of Electronic Science and Technology of China, China
