Pub Date : 2019-07-01DOI: 10.1109/IIAI-AAI.2019.00097
Alper Kizil, Korhan Karabulut
Quadratic Assignment Problem (QAP) is one of the most difficult combinatorial problems in the literature and has a diverse field of applications. This paper presents the results of experiments on the impact of parallelization of a sequential GA using island model. Both of the genetic algorithms are applied to the QAP. For the island model parallel GA, we systematically change the number of islands and investigate the effects of dividing the same global population into a number of subpopulations. The number of islands is gradually increased to observe the effects on solution quality and speedup in total execution time using different problem instances. The results clearly indicate that, while parallelized version outperforms sequential counterpart in both solution quality and total execution time, an increasing number of subpopulations also positively effects the results until a critical point where every subpopulation has a certain number of individuals to be able to evolve independently. Beyond that point, the performance of the algorithm begins to decrease.
{"title":"Effects of Parameters of an Island Model Parallel Genetic Algorithm for the Quadratic Assignment Problem","authors":"Alper Kizil, Korhan Karabulut","doi":"10.1109/IIAI-AAI.2019.00097","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2019.00097","url":null,"abstract":"Quadratic Assignment Problem (QAP) is one of the most difficult combinatorial problems in the literature and has a diverse field of applications. This paper presents the results of experiments on the impact of parallelization of a sequential GA using island model. Both of the genetic algorithms are applied to the QAP. For the island model parallel GA, we systematically change the number of islands and investigate the effects of dividing the same global population into a number of subpopulations. The number of islands is gradually increased to observe the effects on solution quality and speedup in total execution time using different problem instances. The results clearly indicate that, while parallelized version outperforms sequential counterpart in both solution quality and total execution time, an increasing number of subpopulations also positively effects the results until a critical point where every subpopulation has a certain number of individuals to be able to evolve independently. Beyond that point, the performance of the algorithm begins to decrease.","PeriodicalId":136474,"journal":{"name":"2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130966458","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
It is well known that contributions from each learner's "collective cognitive responsibility" are essential in collaborative knowledge creation. This study examined whether real-time feedback can enhance collective cognitive responsibility. To consider this question, we hypothesized that attaining higher values of betweenness centrality in subjects' relationships reflects an improvement in collective cognitive responsibility; therefore, we developed a bulletin board system (BBS) to calculate values of betweenness centrality using network-analysis methodology in real-time. The research target was a student-staff community working for "Classroom-M" that used the BBS, which we called "HighNyammer," for information-sharing among students and staff members; it revealed the real-time value of betweenness centrality for each participant, based on relationships between the authors of posted articles. The results of this HighNyammer trial and a survey on four student-staff members demonstrated the potential effectiveness of this function, especially for novice workers. The value of betweenness centrality indicated each individual's position within the community.
{"title":"HighNyammer BBS Scaffolds the Development of Each Learner's Collective Cognitive Responsibility","authors":"Hideki Kondo, Sayaka Tohyama, Ayano Ohsaki, Masayuki Yamada","doi":"10.1109/IIAI-AAI.2019.00045","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2019.00045","url":null,"abstract":"It is well known that contributions from each learner's \"collective cognitive responsibility\" are essential in collaborative knowledge creation. This study examined whether real-time feedback can enhance collective cognitive responsibility. To consider this question, we hypothesized that attaining higher values of betweenness centrality in subjects' relationships reflects an improvement in collective cognitive responsibility; therefore, we developed a bulletin board system (BBS) to calculate values of betweenness centrality using network-analysis methodology in real-time. The research target was a student-staff community working for \"Classroom-M\" that used the BBS, which we called \"HighNyammer,\" for information-sharing among students and staff members; it revealed the real-time value of betweenness centrality for each participant, based on relationships between the authors of posted articles. The results of this HighNyammer trial and a survey on four student-staff members demonstrated the potential effectiveness of this function, especially for novice workers. The value of betweenness centrality indicated each individual's position within the community.","PeriodicalId":136474,"journal":{"name":"2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132572790","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-01DOI: 10.1109/IIAI-AAI.2019.00121
Yao-San Lin, Wan-Ni Cheng, C. Chen, Der-Chiang Li, Hung-Yu Chen
The small data learning issue has existed for over one hundred years (since 1908) when the Student's t-distribution was first developed. Few statistical tools can evaluate a population appropriately if the sample size is too small; small samples can be remedied through virtual sample generation (VSG) methods, which are widely used in industry and machine learning. However, most VSG methods were developed for data having only numerical attributes, very few studies have dealt with nominal attributes and cause domain estimation limitations. Therefore, this paper proposes a method that generates virtual samples based on the discrete degrees of nominal attributes, and then estimates the general population domains by fuzzy membership functions. A backpropagation neural network model and a support vector regression model are used to test the efficiency of the proposed method, while the Wilcoxon-sign test is used to test the difference with raw data sets. The result shows that the proposed method can reduce the mean absolute error and enhance classification accuracy by generating virtual samples that have nominal attributes.
{"title":"Generating Synthetic Samples to Improve Small Sample Learning with Mixed Numerical and Categorical Attributes","authors":"Yao-San Lin, Wan-Ni Cheng, C. Chen, Der-Chiang Li, Hung-Yu Chen","doi":"10.1109/IIAI-AAI.2019.00121","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2019.00121","url":null,"abstract":"The small data learning issue has existed for over one hundred years (since 1908) when the Student's t-distribution was first developed. Few statistical tools can evaluate a population appropriately if the sample size is too small; small samples can be remedied through virtual sample generation (VSG) methods, which are widely used in industry and machine learning. However, most VSG methods were developed for data having only numerical attributes, very few studies have dealt with nominal attributes and cause domain estimation limitations. Therefore, this paper proposes a method that generates virtual samples based on the discrete degrees of nominal attributes, and then estimates the general population domains by fuzzy membership functions. A backpropagation neural network model and a support vector regression model are used to test the efficiency of the proposed method, while the Wilcoxon-sign test is used to test the difference with raw data sets. The result shows that the proposed method can reduce the mean absolute error and enhance classification accuracy by generating virtual samples that have nominal attributes.","PeriodicalId":136474,"journal":{"name":"2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132894797","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-01DOI: 10.1109/IIAI-AAI.2019.00184
Toshinori Takai, Katsutoshi Shintani, Hideki Andoh, H. Washizaki
Developing an Internet of Things(IoT) application system has some challenges. For example, distinguishing the problem and solution domains is non-trivial in the developments and there are wide variations in the solution space to satisfy the given needs due to the nature of IoT systems. To deal with these problems, we propose an approach that integrates the GQM+Strategies method and the modeling language SysML for systems engineering. We also present a case study of the proposed approach and discuss future directions.
{"title":"Case Study Applying GQM+Strategies with SysML for IoT Application System Development","authors":"Toshinori Takai, Katsutoshi Shintani, Hideki Andoh, H. Washizaki","doi":"10.1109/IIAI-AAI.2019.00184","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2019.00184","url":null,"abstract":"Developing an Internet of Things(IoT) application system has some challenges. For example, distinguishing the problem and solution domains is non-trivial in the developments and there are wide variations in the solution space to satisfy the given needs due to the nature of IoT systems. To deal with these problems, we propose an approach that integrates the GQM+Strategies method and the modeling language SysML for systems engineering. We also present a case study of the proposed approach and discuss future directions.","PeriodicalId":136474,"journal":{"name":"2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134457381","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-01DOI: 10.1109/IIAI-AAI.2019.00165
Yasushi Sugiyama, T. Matsuo, Atsushi Shibata, Hidekazu Iwamoto, T. Hochin
From industrial viewpoint, the international conference has a significant economic impact for the region where the conference takes place. Participants at international conferences will spend more days than tourists or visitors for other purposes. Many different stakeholders are involved in the convention industry as it is an basic factor in promoting inbound tourism in Japan. Japanese governmental agency JNTO takes an important role of promoting to attract international conference. In this paper, 2427 samples are collected for evaluation effective elements to number of participants, which is include the name of the conference, venue, prefecture / city, the number of participants, etc., then, the chi-square test was adopted to clarify the relationship with participants. From the perspective of attracting international conferences, we analyzed the cities and venues where many foreign participants are coming. As a result, it become clear that there was an association among the participants, the venue and the host city. For international conference organizers, the choice of a venue and a host city is one of the most important factors for the success of the conference. Furthermore, it was found that the other factors considered were hardly related. On the other hand, it has also become clear that certain venues may exhibit outstanding performance.
{"title":"Analysis of Participants to the International Conferences Held in Japan and its Related Factors","authors":"Yasushi Sugiyama, T. Matsuo, Atsushi Shibata, Hidekazu Iwamoto, T. Hochin","doi":"10.1109/IIAI-AAI.2019.00165","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2019.00165","url":null,"abstract":"From industrial viewpoint, the international conference has a significant economic impact for the region where the conference takes place. Participants at international conferences will spend more days than tourists or visitors for other purposes. Many different stakeholders are involved in the convention industry as it is an basic factor in promoting inbound tourism in Japan. Japanese governmental agency JNTO takes an important role of promoting to attract international conference. In this paper, 2427 samples are collected for evaluation effective elements to number of participants, which is include the name of the conference, venue, prefecture / city, the number of participants, etc., then, the chi-square test was adopted to clarify the relationship with participants. From the perspective of attracting international conferences, we analyzed the cities and venues where many foreign participants are coming. As a result, it become clear that there was an association among the participants, the venue and the host city. For international conference organizers, the choice of a venue and a host city is one of the most important factors for the success of the conference. Furthermore, it was found that the other factors considered were hardly related. On the other hand, it has also become clear that certain venues may exhibit outstanding performance.","PeriodicalId":136474,"journal":{"name":"2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132984053","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-01DOI: 10.1109/IIAI-AAI.2019.00158
M. Teranishi, S. Matsumoto, Hidetoshi Takeno
The paper proposes an unsupervised classification method for peculiarities of flat finishing motion with an iron file, measured by a 3D stylus. The classified peculiarities are used to correct learner's finishing motions effectively for skill training. In the case of such skill training, the number of classes of peculiarity is unknown. A torus type Self-Organizing Maps(torus SOM) is effectively used to classify such unknown number of classes of peculiarity patterns. An automatic clustering method is applied to the torus SOM results based on cluster map value. Experimental results of the classification with measured data of an expert and sixteen learners show effectiveness of the proposed method. The effectiveness of the cluster map is also evaluated.
{"title":"Peculiarity Classification of Flat Finishing Skill Training by using Torus Type Self-Organizing Maps with Cluster Maps","authors":"M. Teranishi, S. Matsumoto, Hidetoshi Takeno","doi":"10.1109/IIAI-AAI.2019.00158","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2019.00158","url":null,"abstract":"The paper proposes an unsupervised classification method for peculiarities of flat finishing motion with an iron file, measured by a 3D stylus. The classified peculiarities are used to correct learner's finishing motions effectively for skill training. In the case of such skill training, the number of classes of peculiarity is unknown. A torus type Self-Organizing Maps(torus SOM) is effectively used to classify such unknown number of classes of peculiarity patterns. An automatic clustering method is applied to the torus SOM results based on cluster map value. Experimental results of the classification with measured data of an expert and sixteen learners show effectiveness of the proposed method. The effectiveness of the cluster map is also evaluated.","PeriodicalId":136474,"journal":{"name":"2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133044460","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-01DOI: 10.1109/IIAI-AAI.2019.00201
Yulana Watanabe, T. Fujimoto
Today, many people have their own electronic devices, and use the internet. As a large part of the daily activities have now been digitized, many have no difficulty performing them by using the devices. Amid this digitization, a wide range of drawing software is evolving. From "drawing/painting" software that can be easily used by children and adults alike to those with specific features such as special software for product modeling and software with the texture of watercolor paints, different kinds of drawing software have been developed. Many creators and specialists use them which suit their purposes. While they all focus on providing functions and ease of use, few of the drawing software products represent realistic drawing experience. The sensation users have when working with analog tools creates emotional attachment to the tools. This leads to higher quality of the work and improved productivity. In addition, when drawing on paper with a pen or brush, unintended lines or points can be created. Though these cannot be easily corrected, they may add an intriguing touch to the work. With drawing software, this never happens, and making corrections is easy. In this research, we propose drawing software with realistic experience, which is one of the appeals of physical drawing as opposed to digitized drawing. In this paper, we focus on the realistic experience generated by sounds, and work on the sounds that vary by the combination of tools and materials.
{"title":"A Drawing Software that Changes User's Realistic Experience by Sounds Generated by the Combination of Tools and Materials","authors":"Yulana Watanabe, T. Fujimoto","doi":"10.1109/IIAI-AAI.2019.00201","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2019.00201","url":null,"abstract":"Today, many people have their own electronic devices, and use the internet. As a large part of the daily activities have now been digitized, many have no difficulty performing them by using the devices. Amid this digitization, a wide range of drawing software is evolving. From \"drawing/painting\" software that can be easily used by children and adults alike to those with specific features such as special software for product modeling and software with the texture of watercolor paints, different kinds of drawing software have been developed. Many creators and specialists use them which suit their purposes. While they all focus on providing functions and ease of use, few of the drawing software products represent realistic drawing experience. The sensation users have when working with analog tools creates emotional attachment to the tools. This leads to higher quality of the work and improved productivity. In addition, when drawing on paper with a pen or brush, unintended lines or points can be created. Though these cannot be easily corrected, they may add an intriguing touch to the work. With drawing software, this never happens, and making corrections is easy. In this research, we propose drawing software with realistic experience, which is one of the appeals of physical drawing as opposed to digitized drawing. In this paper, we focus on the realistic experience generated by sounds, and work on the sounds that vary by the combination of tools and materials.","PeriodicalId":136474,"journal":{"name":"2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131941180","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-01DOI: 10.1109/IIAI-AAI.2019.00031
Yuhiro Mizunuma, Keita Tsuji
Grant-in-Aid for Scientific Research (KAKENHI) is the largest grants for academic research in Japan, and over two hundred billion yen is allocated for KAKENHI, annually. However, little is known about the kind of researchers who are recipients of KAKENHI and their achievements. In this paper, we investigated the number of KAKENHI grant recipients who received KAKENHI projects, the tendencies of their role, and their research achievements. The results suggested that researchers in humanities and social sciences tended to receive KAKENHI in collaborative projects. Also, there was no strong correlation between the number of recipients of KAKENHI projects and their research achievements; however, in some research fields, such as chemistry, a higher correlation was observed. Furthermore, some researchers were found to have received KAKENHI many times although their research achievements were few.
{"title":"An Investigation on the Researchers Who Received Japanese Grant-in-Aid for Scientific Research (KAKENHI) with a Focus on Their Roles and Research Achievements","authors":"Yuhiro Mizunuma, Keita Tsuji","doi":"10.1109/IIAI-AAI.2019.00031","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2019.00031","url":null,"abstract":"Grant-in-Aid for Scientific Research (KAKENHI) is the largest grants for academic research in Japan, and over two hundred billion yen is allocated for KAKENHI, annually. However, little is known about the kind of researchers who are recipients of KAKENHI and their achievements. In this paper, we investigated the number of KAKENHI grant recipients who received KAKENHI projects, the tendencies of their role, and their research achievements. The results suggested that researchers in humanities and social sciences tended to receive KAKENHI in collaborative projects. Also, there was no strong correlation between the number of recipients of KAKENHI projects and their research achievements; however, in some research fields, such as chemistry, a higher correlation was observed. Furthermore, some researchers were found to have received KAKENHI many times although their research achievements were few.","PeriodicalId":136474,"journal":{"name":"2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121235819","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-01DOI: 10.1109/IIAI-AAI.2019.00128
Sang-Young Kim, Sejun Kim, Pardis Birzhandi, P. Li, H. Youn
Unlike the traditional networking infrastructure, the software defined network (SDN) separates the network control function from the data transmission function. The SDN covering a large geographical area requires multiple controllers, and controller provisioning has a significant impact on the performance of entire network. In this paper, a novel load balancing scheme is proposed to effectively solve the dynamic controller provisioning problem (DCPP) for SDN. The proposed scheme employs progressive harmony search and K-means clustering of the switches to maximize the accuracy of finding the optimal solution and minimize the search time. The proposed scheme is evaluated by computer simulation in terms of accuracy and execution time of load balancing, and it turns out to be superior to the existing schemes.
{"title":"A Solution for Dynamic Controller Provisioning Problem of SDN using Harmony Search","authors":"Sang-Young Kim, Sejun Kim, Pardis Birzhandi, P. Li, H. Youn","doi":"10.1109/IIAI-AAI.2019.00128","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2019.00128","url":null,"abstract":"Unlike the traditional networking infrastructure, the software defined network (SDN) separates the network control function from the data transmission function. The SDN covering a large geographical area requires multiple controllers, and controller provisioning has a significant impact on the performance of entire network. In this paper, a novel load balancing scheme is proposed to effectively solve the dynamic controller provisioning problem (DCPP) for SDN. The proposed scheme employs progressive harmony search and K-means clustering of the switches to maximize the accuracy of finding the optimal solution and minimize the search time. The proposed scheme is evaluated by computer simulation in terms of accuracy and execution time of load balancing, and it turns out to be superior to the existing schemes.","PeriodicalId":136474,"journal":{"name":"2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121438640","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-01DOI: 10.1109/IIAI-AAI.2019.00048
Kai Morita, Koji Tanaka, Chanakarn Kingkaew, M. Ikeda
To learn the skill of self-regulated learning (SRL), it is important for learners to implement "metacognition of SRL" that monitors and controls SRL. However, we think there are two crucial difficulties in metacognition of SRL for non-experts of SRL skills: cognitive overload and the implicit process of metacognition of SRL. Our aim is to design a learning environment to alleviate these difficulties and motivate the metacognition of SRL. To focus learners' attention on the metacognition of SRL, we have designed a learning environment in which a learner is given an assignment to play the role of mentor to a pseudo mentee (non-human) to improve SRL. In the assignment, the learning environment provides representations about the mentee's learning situations and learner's utterances. We have designed a learning environment that allows learners to connect these representations and utterances to motivate the metacognition of SRL. This has been designed to alleviate cognitive load and promote the verbalization of SRL.
{"title":"A Learning Environment Attracting Attention to the Nested Structure of Metacognition of Self-Regulated Learning","authors":"Kai Morita, Koji Tanaka, Chanakarn Kingkaew, M. Ikeda","doi":"10.1109/IIAI-AAI.2019.00048","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2019.00048","url":null,"abstract":"To learn the skill of self-regulated learning (SRL), it is important for learners to implement \"metacognition of SRL\" that monitors and controls SRL. However, we think there are two crucial difficulties in metacognition of SRL for non-experts of SRL skills: cognitive overload and the implicit process of metacognition of SRL. Our aim is to design a learning environment to alleviate these difficulties and motivate the metacognition of SRL. To focus learners' attention on the metacognition of SRL, we have designed a learning environment in which a learner is given an assignment to play the role of mentor to a pseudo mentee (non-human) to improve SRL. In the assignment, the learning environment provides representations about the mentee's learning situations and learner's utterances. We have designed a learning environment that allows learners to connect these representations and utterances to motivate the metacognition of SRL. This has been designed to alleviate cognitive load and promote the verbalization of SRL.","PeriodicalId":136474,"journal":{"name":"2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129128541","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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