This book makes valuable theoretical, empirical, and methodological contributions to the study of overseas doctoral students' cross-cultural adaptation. Focusing on Australia, one of the top three destinations for Chinese students, this book seeks to understand how Chinese doctoral students perceive their lived experience of adapting to the academic and research environment at Australian universities. The book presents an innovative data collection chiefly based on interviews. It probes into Chinese doctoral students' emic perception of their cross-cultural adaptation from a human development perspective and in three main phrases: how motivated and prepared they are for their overseas stay (planning), how they experience their adaptation as active agents (implementing), and how they evaluate their overseas doctoral journey after the fact (reflecting). Empirically speaking, its findings can help bolster the effectiveness of cross-cultural adaptation and that of the internationalisation of doctoral education. Methodologically speaking, it combines popular techniques and underused instruments such as graphics and maps to offer an in-depth portrait of the issue. Given its content, the book is primarily intended for researchers in cultural studies and practitioners in international education, or in a broader sense for anyone who has a keen interest in how individuals navigate the learning trajectory and construe meanings in unfamiliar academic and socio-cultural settings. Though the book focuses on Australia as a case study, its findings are equally applicable to other contexts.

This book highlights selected papers presented at the 2nd International Symposium on Artificial Intelligence and Robotics 2017 (ISAIR2017), held in Nakamura Centenary Memorial Hall, Kitakyushu, Japan on November 25-26, 2017. Today, the integration of artificial intelligence and robotic technologies has become a topic of growing interest for both researchers and developers from academic fields and industries worldwide, and artificial intelligence is poised to become the main approach pursued in next-generation robotics research. The rapidly growing number of artificial intelligence algorithms and big data solutions has significantly extended the number of potential applications for robotic technologies. However, it also poses new challenges for the artificial intelligence community. The aim of this symposium is to provide a platform for young researchers to share the latest scientific achievements in this field, which are discussed in these proceedings.

This book makes valuable theoretical, empirical, and methodological contributions to the study of overseas doctoral students' cross-cultural adaptation. Focusing on Australia, one of the top three destinations for Chinese students, this book seeks to understand how Chinese doctoral students perceive their lived experience of adapting to the academic and research environment at Australian universities. The book presents an innovative data collection chiefly based on interviews. It probes into Chinese doctoral students' emic perception of their cross-cultural adaptation from a human development perspective and in three main phrases: how motivated and prepared they are for their overseas stay (planning), how they experience their adaptation as active agents (implementing), and how they evaluate their overseas doctoral journey after the fact (reflecting). Empirically speaking, its findings can help bolster the effectiveness of cross-cultural adaptation and that of the internationalisation of doctoral education. Methodologically speaking, it combines popular techniques and underused instruments such as graphics and maps to offer an in-depth portrait of the issue. Given its content, the book is primarily intended for researchers in cultural studies and practitioners in international education, or in a broader sense for anyone who has a keen interest in how individuals navigate the learning trajectory and construe meanings in unfamiliar academic and socio-cultural settings. Though the book focuses on Australia as a case study, its findings are equally applicable to other contexts.

This book highlights selected papers presented at the 2nd International Symposium on Artificial Intelligence and Robotics 2017 (ISAIR2017), held in Nakamura Centenary Memorial Hall, Kitakyushu, Japan on November 25-26, 2017. Today, the integration of artificial intelligence and robotic technologies has become a topic of growing interest for both researchers and developers from academic fields and industries worldwide, and artificial intelligence is poised to become the main approach pursued in next-generation robotics research. The rapidly growing number of artificial intelligence algorithms and big data solutions has significantly extended the number of potential applications for robotic technologies. However, it also poses new challenges for the artificial intelligence community. The aim of this symposium is to provide a platform for young researchers to share the latest scientific achievements in this field, which are discussed in these proceedings.