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Dive into the research topics where Kousuke Mouri is active.

Publication


Featured researches published by Kousuke Mouri.


Smart Learning Environments | 2015

Ubiquitous learning analytics in the real-world language learning

Kousuke Mouri; Hiroaki Ogata

In recent years, ubiquitous learning systems based on Computer Supported Ubiquitous Learning (CSUL) and u-learning have been constructed using ubiquitous technologies such as mobile devices, RFID tags, QR codes and wireless networks. These types of learning include not only in-class learning but also in a variety of out-of-class learning in spaces such as homes, libraries and museums. However, the learning materials provided by ubiquitous learning systems are, in most cases, prepared by teachers or instructional designers, and it is difficult to find relationships between a learner and other learners in different contexts. In order to link learners in the real world and ubiquitous learning logs (ULLs) that are accumulated in cyber space by a ubiquitous learning system called System for Capturing and Reminding of Learning Log (SCROLL), this paper proposes an innovative visualization system that integrates network visualization technologies with Time-Map based on Ubiquitous Learning Analytics (ULA). In this paper, a Ubiquitous Learning Log (ULL) is defined as a recorded form of knowledge or learning experiences acquired in a learner’s daily life. An experiment was conducted to evaluate whether the visualization system is of benefit in finding the relationships between learners and ULLs and whether the developed layout called the Ubiquitous Learning Graph (ULG) is easy to use compared with certain previous visualization layouts. In the experiment, learners found relationships between their own knowledge and ULLs, demonstrating that the system can increase learners’ learning opportunities.


international conference on advanced learning technologies | 2015

Career Support for International Students in Japan Using Ubiquitous Learning Log System

Noriko Uosaki; Hiroaki Ogata; Kousuke Mouri; Erdenesaikahan Lkhagvasuren

This paper describes our study in progress where we have aimed to enhance career support for international students using the learning log system called SCROLL (System for Capturing and Reminding Of Learning Log). Job-hunting process is very unique in Japan. Students should begin the job hunting in their junior year and it takes 8.9 months on average. A questionnaire survey reveals that top two anxieties that international students have are language-related and lack of information. In order to reduce these anxieties, we propose career support system using SCROLL. The result of its pilot evaluation demonstrates that the users benefited from the system and that it will be expected to contribute to the solution of the two anxieties, while it reveals some user unfriendliness in its interface. Our future works include its improvement as well as the refinement of its message and recommendation functions.


International Journal of Mobile Learning and Organisation | 2015

Analysis of ubiquitous learning logs using social network analysis

Kousuke Mouri; Hiroaki Ogata; Noriko Uosaki

This paper describes approaches for analysing ubiquitous learning logs ULLs using visualisation based on network graphs and time-maps. By constructing real-world corpora comprising accumulated ULLs with information on what, when, where, and how learners have learned in the real world and analysing them, we can support learners to learn more effectively. The amount of accumulated data is large and the relationships among the data are so complicated that it is difficult to grasp how closely the ULLs are related to each other. Therefore, this paper proposes a system to help learners grasp relationships among learners, knowledge, place and time, using network graphs and network analysis. In the evaluation experiment, 17 international students studying at the Kyushu University and Tokushima University evaluated the systems performance, usability, as well as the ease of understanding and learning using the system. Based on the experiment results, we conclude that analysing and visualising relationships between learners and ubiquitous learning are important factors to increase learning opportunities.


international conference on hybrid learning and education | 2015

Connecting Dots for Ubiquitous Learning Analytics

Hiroaki Ogata; Kousuke Mouri

A Ubiquitous Learning Log (ULL) is defined as a digital record of what a learner has learned in daily life using ubiquitous computing technologies. It allows learners to log their learning experiences with photos, audios, videos, locations, RFID tag and sensor data, and to share and reuse ULL with others. The number of ULLs will keep increasing as the learners keep learning. The sheer volume of ULLs will be accumulated in the ubiquitous learning system called SCROLL. It creates a necessity to analyze the ubiquitous learning logs to provide learners with appropriate learning logs in accordance with their learning abilities, context, time and location. However, researchers on analysis and visualization on ubiquitous learning is very few, and there are not yet previous works that visualize relationships among learning logs on spatial and temporal dimensions. Therefore, this paper introduces the overview of SCROLL, and then describes an innovative visualization system which integrates network visualization technologies and time-map in order to visualize the ubiquitous learning logs accumulated in the SCROLL.


international conference on advanced applied informatics | 2012

Learning Log Navigator: Augmented Awareness Past Learning Experiences

Kousuke Mouri; Hiroaki Ogata; Mengmeng Li; Bin Hou; Noriko Uosaki

This paper proposes a Navigator system in ubiquitous learning log system called SCROLL(System for Capturing and Reminding Of Learning Log). Navigator system supports learning in terms of visualization of learning logs stored in SCROLL system. It informs learners of what and where other learners have learned visually and recommend other learning logs which are located close to them and navigate them to the recommended logs. By letting them aware of other learning logs around them and guide to show them where they are located, it provides them more opportunities to learn from experience where they can make discoveries through first-hand observations, instead of reading or hearing about the knowledge. It is thus expected to lead learners to gain more knowledge.


international learning analytics knowledge conference | 2017

Learning analytics in a seamless learning environment

Kousuke Mouri; Hiroaki Ogata; Noriko Uosaki

This paper describes seamless learning analytics methods of VASCORLL (Visualization and Analysis System for COnnecting Relationships of Learning Logs). VASCORLL is a system for visualizing and analyzing the learning logs collected by the seamless learning system, which supports language learning in the real-world. As far, several studies have been made in the seamless learning environments in order to bridge formal learning over informal learning. However, their focus was the implementation of the seamless learning environment in education. This study focuses on visualizing and analyzing learning logs collected in the seamless learning environment. This paper describes how our analytics could contribute to bridging the gap between formal and informal learning. An experiment was conducted to evaluate 1) whether our developed VASCORLL is effective in connecting the words learned in formal learning to the ones learned in informal learning, 2) which social network algorithm is effective to enhance learning in the seamless learning environment. Twenty international students participated in the evaluation experiment, and they were able to increase their learning opportunities by using VASCORLL. In addition, it was found that the betweenness centrality is useful in finding central words bridging formal and informal learning.1


international conference on advanced learning technologies | 2017

Real-Time Learning Analytics of e-Book Operation Logs for On-site Lecture Support

Atsushi Shimada; Kousuke Mouri; Hiroaki Ogata

A real-time learning analytics system is proposed for in-classroom use. We used an e-learning system and an e-book system to collect real-time learning activities during lectures. The collected logs were analyzed and presented visually on a web-based system for the teacher. The teacher can monitor how many students are viewing the same page as the teacher, whether they are following the explanation, or if they are reading previous or subsequent pages. Through a case study, we confirmed the effectiveness of the real-time learning analytics system, in terms of high synchronization between the teacher and the students, i.e., that the majority of students followed the teachers explanation and added more bookmarks, highlights, or notes on the e-book, compared with the control group where the teacher did not use our system.


Seamless Learning in the Age of Mobile Connectivity | 2015

Supporting Seamless Learning Using Ubiquitous Learning Log System

Hiroaki Ogata; Noriko Uosaki; Mengmeng Li; Bin Hou; Kousuke Mouri

This chapter describes a learning log system named SCROLL (System for Capturing and Reminding of Learning Log), which helps users to share and remind ubiquitous learning experiences. It is expected to powerfully assist the implementation of seamless learning. It proposes that seamless learning can be classified into seven types according to the mobile connectivity, and an empirical study in the context of English vocabulary learning at the university level is introduced. The results show that the test group registered fewer words, but learned more words than the control group, and that the linking in-class and outside-class function showed statistically significant effectiveness when excluding two exceptional cases. The participants predominantly used mobile devices during outside-class learning. Therefore, mobile connectivity is, undoubtedly, contributing to the realization of seamless learning in the sense of linking in-class and outside-class learning.


ICSLE | 2015

Accelerate Location-Based Context Learning for Second Language Learning Using Ubiquitous Learning Log

Songran Liu; Hiroaki Ogata; Kousuke Mouri

It is always difficult to solve the problem that how to help international students to learn second language (L2) out-class seamlessly. This paper consider using the context environment to recognize international students’ situations and help them to learning second language out-class seamlessly. This approach is based on the Ubiquitous learning log system called SCROLL. In proposal approach, first of all, when learners go to a new environment and do not know what they should learn there, they check in the location information with the name of the location. Secondly, proposal approach will recommend some learning logs for them using social network analysis algorithm with learners’ situation with location information. At last, this paper does the evaluation experiment and discusses the result.


international conference on advanced applied informatics | 2014

Enhancing Outside-Class Learning Using Online Tools: A Review Work

Gustavo Shinji Inoue; Noriko Uosaki; Hiroaki Ogata; Kousuke Mouri

This paper tackles enhancing outside-class learning experiences focusing on JSL (Japanese as a Second Language) learners. Features and approaches of online tools for language learning are overviewed since knowing the pros and cons of each tool is essential for successful language learning and as a cutting-edge online project for language learning, a mobile and ubiquitous learning application called SCROLL is explicated.

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Bin Hou

University of Tokushima

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Mengmeng Li

University of Tokushima

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