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Seiji Isotani

  • Ph.D.
  • Assistant Professor
  • University of São Paulo
  • 12h-indexImpact measure calculated using publication and citation counts. Updated daily.
  • 528CitationsNumber of citations received by Seiji's publications. Updated daily.

Research interests

intelligent tutoring systemsHCIontologySemantic Webeducational technologyCSCL

About

Seiji Isotani is an Associate Professor in Computer Science and Vice-President of the International Relations Office at the Institute of Mathematics and Computer Science of the University of Sao Paulo, Brazil. He received the B.Sc. and M.Sc. degrees in Computer Science from the University of Sao Paulo, Brazil, and the Ph.D. degree in Information Engineering from Osaka University, Japan. Before joining the University of Sao Paulo, Prof. Isotani worked as a research fellow associated with the Human-Computer Interaction Institute at Carnegie Mellon University, USA. He was also Invited Professor at Tokyo Institute of Technology, Japan Advanced Institute of Science and Technology and Pompeu Fabra University. His research career has been devoted to imagine, design, develop, test and deploy intelligent and collaborative educational systems using ontologies and other semantic technologies. Prof. Isotani scientific and social mission converges into a single goal which is to enable the realization of AAAL: Anytime, Anywhere, Anybody Learning, by developing cutting-edge technology. He is the co-founder of two startups (MeuTutor and Linkn) that won several innovation awards in the field of Education and Semantic Web. He has published over a hundred scientific papers, books and book chapters on the field of educational technology and Semantic Web. Currently, together with W3C Brazil he is working in projects to create an ecosystem for production and consumption of open data. His mains research interests are in the areas of open linked data, ontological engineering, Computer-Supported Collaborative Learning (CSCL), Artificial Intelligence in Education (AIED), and technology-enhanced learning. Prof. Isotani’s research has received international recognition with awards from the IEEE, ACM, and IBM Research. He is the Editor of the Brazilian Journal on Computers in Education, senior member of IEEE, member of Artificial Intelligence in Education Society, Member of the Municipal Secretary of Education Council and Representative of the Brazilian Computer Society in the IFIP Technical Committee on Education. He is a member of ACM since 2004 and was elevated to Professional Lifetime Member in 2009.

Groups

Co-authors (146)

Publications (5)

  • A systematic review on the use of best practices for publishing linked data

    • Feitosa D
    • Dermeval D
    • Ávila T
    • et al.
    N/AReaders
    0Citations
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  • Educational Data Mining: A review of evaluation process in the e-learning

    • Rodrigues M
    • Isotani S
    • Zárate L
    N/AReaders
    0Citations
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  • Flow experience in learning: When gamification meets artificial intelligence in education

    • Bittencourt I
    • Isotani S
    • Wanick V
    • et al.
    N/AReaders
    0Citations
  • GAMIFY-SN: A meta-model for planning and deploying gamification concepts within social networks - A case study

    • Toda A
    • do Carmo R
    • da Silva A
    • et al.
    N/AReaders
    0Citations
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  • Prediction of interpersonal help-seeking behavior from log files in an in-service education distance course

    • Penteado B
    • Isotani S
    • Paiva P
    • et al.
    N/AReaders
    0Citations
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Professional experience

Assistant Professor

University of São Paulo

March 2011 - Present

Researcher

Carnegie Mellon University

September 2009 - October 2012(3 years)

Research Assistant

Osaka University

October 2006 - August 2009(3 years)

Education

Ph.D. in Information Engineering

Osaka University

October 2006 - September 2009(3 years)

M.Sc. in Computer Science

University of São Paulo

March 2003 - April 2005(2 years)

B.Sc. in Computer Science

University of São Paulo

March 1998 - December 2002(5 years)