Titlebook: Implementing Mobile Language Learning Technologies in Japan; Steve McCarty,Hiroyuki Obari,Takeshi Sato Book 2017 The Author(s) 2017 Englis

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Tokyo University of Agriculture and Technology Case Study: Smartphone App LINE for EFL Peer Learninement of their English language competence in both receptive and productive skills. The results of the questionnaire also proclaimed their active participation with positive feedback about the L2 online interaction.

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Osaka Jogakuin University Case Study: Mobilizing the EFL Curriculum and Campus Infrastructure with d teachers could also readily access the Internet in classes. Student focus groups have sharpened annual surveys with quantitative and qualitative feedback to continually refine the pedagogy behind utilizing mobile devices.

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Aoyama Gakuin University Case Study: Blended Learning and Flipped Classrooms Utilizing Mobile Devic assessment tests such as the CASEC, OPIc speaking test, and TOEIC indicated that blended and flipped lessons helped students to improve their overall English proficiency better than traditional approaches.

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Conclusion: Implementing Language Learning in a Mobile-Oriented Society,and .. Mobile learning was found to bring out aspects of sociocultural theory through factors such as user autonomy. Its effectiveness for EFL should encourage readers to implement m-learning in their own contexts.

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Mobile Language Learning Pedagogy: A Sociocultural Perspective,language contents from learners’ life-worlds can help to develop the autonomy and agency required for effective learning in this era of new technology. This chapter reviews the literature important for mobile language learning with the aim of applying the theoretical framework to pedagogies in local settings as seen in the following chapters.

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Book 2017ners and brings out their capability for autonomous learning. Case studies of universities, large and small, public and private, are organized similarly in Chapters 3 to 5. Institutional/pedagogical and technological context sections are followed by detailed content on the implementation of initiati

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o the proposed method to efficiently segment the foreground signals from the background in existence of undetermined or unwanted pixel values, and inadequately articulated spots in DNA microarray images. Experimental results and analysis of proposed methods shows promising results when compared with

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Steve McCarty,Takeshi Sato,Hiroyuki Obarixperimentation, a publicly available dataset i.e. PhysioNet consisting data of 109 users while performing one minute EO and EC activity has been used. A notable activity recognition rate of 86.08% has been recorded using gamma band feature. The paper further proposes that the system can be used as a

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Steve McCarty,Takeshi Sato,Hiroyuki Obarixperimentation, a publicly available dataset i.e. PhysioNet consisting data of 109 users while performing one minute EO and EC activity has been used. A notable activity recognition rate of 86.08% has been recorded using gamma band feature. The paper further proposes that the system can be used as a