DSIR 2017 - 6th International Conference on Data Science and Institutional Research (DSIR 2017)

The IIAI International Conference on Data Science and Institutional Research (IIAI-DSIR 2017, previously IIAI-IRIM) focuses on practices, technologies, applications and theories for management of higher education and research activity in universities and institutions.
In the last two decades, global standardization and quality assurance in higher education become more important than ever. On the other hand, research performance of universities and research institutes are discussed in the context of international competitive edge. Being based on such situation, many universities and research institutes have enriched institutional research and institutional management, but in fact it is more necessary to study business practices and establish theories and methodologies in those domains than ever. Especially theories and applications of institutional information are one of the most remarkably worthy domains.
The aim of the conference IIAI-DSIR is to provide a worldwide forum, where the international participants can share their research knowledge and ideas on the recent and latest research on Data Science and Institutional Research, and map out the directions for future researchers and collaborations. Not only researchers and graduate students, but also administration staff and executives in institutions of higher education will be welcomed to participate in the conference to exchange research findings in the frontier areas of data science and institutional research.
All accepted and presented papers in the DSIR will be published in the conference proceedings by CPS and will be submitted to Ei Compendex, Inspec, and several major citation index. All the prospective papers must be submitted online at the conference website.
We welcome contributions, which will be advanced visions, practices, technologies, helpful research and theories in the domains. The scope of IIAI-DSIR 2017 will cover a broad set of research topics including, but not limited to, the following:
Management on Higher Education and its Data Science
Educational Big Data and Data Science
Big Data in Smart Campus and Its Analysis
Social Network of Faculties and Staff
Performance Indicators in Higher Education
Analysis of GPA System
Enrollment Management
Effectiveness of Institutional Performance
Management on Research Activity and its Data Science
Bibliometrics
Management of Research Project
Information Systems for University Management
Data Warehouse and Business Intelligence for Universities
Visualization of Institutional Information
Statistics for Institutional Research
Quality Assurance on Higher Education
Faculty Development and Staff Development
International Recognition of Quality Assurance
Assessment of Learning Outcomes
Monitoring for Improvement of Education
Accreditation for Higher Education