Hannele Niemi is Professor, Research Director at the University of Helsinki and been she has nominated as UNESCO Chair on Educational Ecosystems for Equity and Quality of Learning 2018-. She is also the Chair of The University Board at the University of Lapland (2018-). She served as Vice-Rector at the University of Helsinki (2003—2009). She have invited as honorary doctor of professor in 5 universities. She leads Finnish national research consortium AI in Learning (2020-2021) that has active cooperation with researchers, companies and practitioners seeking new solutions how AI can support human learning. The project has also a wide cooperation in China and U.S.A. She has invited as an expert in tens of countries and has over 400 publications on teaching, learning, teacher education, and technology-supported learning environments. Niemi has been a scientific leader for several large national research projects in Finland, including the Finnable 2020 (finnable.fi) program for advancing educational technology and 21st century skills in schools (2012-2015). She also served as Director of the national research program «Life as Learning», which was supported by the Academy of Finland (2002-2006). She has been a member of a Steering Committee of the British National Research Programme (the Teaching and Learning Research Programme [TLRP]; 2003-2008). She currently serves as an advisor and reviewer for several scientific journals. She has served as a member of several scientific councils, including the European Science Foundation, the Academy of Finland, and the University of Helsinki and worked as a reviewer for research councils in many countries, including Norway, Portugal, Estonia, and Singapore. She has been invited as a panel member or chair of the research evaluations of educational sciences in many universities and invited as a panel member for the evaluations of the quality and effectiveness of more than 10 universities in Europe (2005-2020) and also in evaluations of 3 European evaluation councils in Higher Education
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Roy Pea is David Jacks Professor of Education & Learning Sciences at Stanford University, School of Education, and Computer Science (Courtesy), and Director of the H-STAR Institute. His studies and publications in the learning sciences focus on advancing theories, research, tools and social practices of technology-enhanced learning of complex domains, including his role as Co-Director and Co-PI of the NSF-funded LIFE Center, which seeks to develop and test principles about the social foundations of human learning in informal and formal environments with the goal of enhancing human learning from infancy to adulthood. He is also founder and Director of Stanford’s Ph D program in Learning Sciences and Technology Design. He is co-author of the 2010 National Education Technology Plan for the US Department of Education, co-editor of Video Research in the Learning Sciences (2007), and co-author of the National Academy of Sciences book: How People Learn (2000). He is a Fellow of the National Academy of Education, Association for Psychological Science, the American Educational Research Association, and the Center for Advanced Study in the Behavioral Sciences. In 2004-2005, Roy was President of the International Society for the Learning Sciences. Roy served from 1999-2009 as a Director for Teachscape, a teacher professional development services company he co-founded with CEO Mark Atkinson.
Lu Yu received the Ph.D. degree from National University of Singapore in computer engineering, and B.S./M.S. degrees from Beijing University of Aeronautics and Astronautics (Beihang University). He is currently an Associate Professor with the School of Educational Technology, Faculty of Education, Beijing Normal University (BNU), where he also serves as the director of the artificial intelligence lab at the advanced innovation center for future education (AICFE). He has published more than 40 academic papers in the prestigious journals and conferences (e.g., IEEE TKDE, TMC, ICDM, AIED, CIKM, EDBT, IJCAI, ICDE), and currently serves as the PC member for multiple international conferences (e.g., AAAI, AIED, CIKM). Before joining BNU, he was a research scientist and principle investigator at the Institute for Infocomm Research (I2R), A*STAR, Singapore. His research interests are Learner Modeling, Robotics for Education, Intelligent Tutoring System, Educational Data Mining, Data Analytics and Ubiquitous Computing
9 Ebooks de Hannele Niemi
Hannele Niemi & Auli Toom: Miracle of Education
Finnish pupils’ success in international student assessment tests is a hot topic everywhere in the world. The significance of Finnish educational policy and society are continuously discussed. This b …
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€37.45
Hannele Niemi & Jari Multisilta: Finnish Innovations and Technologies in Schools
This book combines several perspectives on the steps the Finnish educational system has taken to provide students with the skills and competences needed for living in today’s society and in the futur …
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€37.45
Hannele Niemi & Auli Toom: Miracle of Education
‘Finnish pupils’ success in international student assessment tests and the characteristics of the Finnish educational system are the focus of interest all around in the world. The significance of Fin …
PDF
Inglés
€37.45
Shengquan Yu & Hannele Niemi: Shaping Future Schools with Digital Technology
This book presents an overview of education technology and its use in schools, with a primary emphasis on best practices of technology enhanced learning; how new technologies such as mobile, augmente …
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€96.29
Niemi Hannele Niemi & Jia Jiyou Jia: New Ways to Teach and Learn in China and Finland
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€57.56
Niemi Hannele Niemi & Jia Jiyou Jia: New Ways to Teach and Learn in China and Finland
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€58.30
James W. Fraser & Lauren Lefty: Teaching the World’s Teachers
Examining teacher education in an international context, this book captures the diversity of the world’s educators.Many countries confront surprisingly similar challenges in preparing K-12 educators …
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€49.55
Yu Lu & Hannele Niemi: AI in Learning: Designing the Future
AI (Artificial Intelligence) is predicted to radically change teaching and learning in both schools and industry causing radical disruption of work. AI can support well-being initiatives and lifelong …
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€3.85