Výsledky vyhledávání - "Ichikawa Yuko"

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Usefulness of Instructor Annotations on Flipped Learning Preparation Video System

Autor: Uchiyama, Shintaro, Okumoto, Hayato, Yoshida, Mitsuo, Ichikawa, Yuko, Umemura, Kyoji

Flipped learning is a method that flips in/out class activities to make lectures learner-centered. In flipped learning, comments from learners on preparation material are useful information for instructors to consider before deciding in-class topics.

Externí odkaz: http://arxiv.org/abs/1909.11341

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Akademický článek

HIV-1 nef suppression by virally encoded microRNA

Autor: Brisibe Ebiamadon, Okuyama Harumi, Ichikawa Yuko, Tsutsumi Yutaka, Ito Masafumi, Omoto Shinya, Saksena Nitin K, Fujii Yoichi R

Publikováno v: Retrovirology, Vol 1, Iss 1, p 44 (2004)

Abstract Background MicroRNAs (miRNAs) are 21~25-nucleotides (nt) long and interact with mRNAs to trigger either translational repression or RNA cleavage through RNA interference (RNAi), depending on the degree of complementarity with the target mRNA

Externí odkaz: https://doaj.org/article/57945dea4e2f4da295775f2878ccea8b

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Response Collector: A Video Learning System for Flipped Classrooms

Autor: Okumoto, Hayato, Yoshida, Mitsuo, Umemura, Kyoji, Ichikawa, Yuko

The flipped classroom has become famous as an effective educational method that flips the purpose of classroom study and homework. In this paper, we propose a video learning system for flipped classrooms, called Response Collector, which enables stud

Externí odkaz: http://arxiv.org/abs/1808.07227

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Computing Information Quantity as Similarity Measure for Music Classification Task

Autor: Takamoto, Ayaka, Yoshida, Mitsuo, Umemura, Kyoji, Ichikawa, Yuko

This paper proposes a novel method that can replace compression-based dissimilarity measure (CDM) in composer estimation task. The main features of the proposed method are clarity and scalability. First, since the proposed method is formalized by the

Externí odkaz: http://arxiv.org/abs/1804.05486

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Automatic classification of incorrect answers to differentiation questions using Potential Response Tree

Autor: Nakamura, Yasuyuki, Higuchi, Saburo, Yoshitomi, Kentaro, Miyazaki, Yoshinori, Ichikawa, Yuko, Nakahara, Takahiro

In this study, the authors focus on Potential Response Tree (PRT) with which users may define rules to classify answers and give feedbacks/partial credit by how they are incorrect or incomplete. Various incorrect answers need to be considered for eac

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::27c50804f1b320d3387e2aed1ce29dc7

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