Pub Date : 2019-07-01DOI: 10.1109/IIAI-AAI.2019.00156
S. Matsumoto, Nobuyuki Ohigashi
We have shown the concept of information sharing system to support vulnerable road users living in some regions of Hiroshima city where public transport is not sufficiently developed and then we also have constructed a web service to support their daily life named MASS. To make our system effective for solving the issues of "vulnerable road users" mainly elderly people, active participation of young people is essential because most of the resources of skills will be provided by young people. The analysis of the previous work unveiled a trend of the youth consciousness about skill sharing in their local community but also showed the limitation of Quantification Method Type II. Therefore, in this paper, in order to discuss the continuity of our system as a business, we conducted an attitude survey on young people's awareness of resource sharing at their local community and analyzed it with Bayesian network. From the experimental result, we confirmed the findings of the previous research and further clarified the relationship between the factors which we could not clarify so far. In addition, we conducted numerical experiments using the constructed Bayesian network, obtained results that support several hypotheses, and revealed factors that have a strong influence on the use of MASS.
{"title":"Analyzing Young People's Awareness for Mutual Assistance Support System with Bayesian Network","authors":"S. Matsumoto, Nobuyuki Ohigashi","doi":"10.1109/IIAI-AAI.2019.00156","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2019.00156","url":null,"abstract":"We have shown the concept of information sharing system to support vulnerable road users living in some regions of Hiroshima city where public transport is not sufficiently developed and then we also have constructed a web service to support their daily life named MASS. To make our system effective for solving the issues of \"vulnerable road users\" mainly elderly people, active participation of young people is essential because most of the resources of skills will be provided by young people. The analysis of the previous work unveiled a trend of the youth consciousness about skill sharing in their local community but also showed the limitation of Quantification Method Type II. Therefore, in this paper, in order to discuss the continuity of our system as a business, we conducted an attitude survey on young people's awareness of resource sharing at their local community and analyzed it with Bayesian network. From the experimental result, we confirmed the findings of the previous research and further clarified the relationship between the factors which we could not clarify so far. In addition, we conducted numerical experiments using the constructed Bayesian network, obtained results that support several hypotheses, and revealed factors that have a strong influence on the use of MASS.","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":"126568997","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}
This article proposes new criteria for using student data in universities. First criteria are called primary data and secondary criteria are called secondary data. We define primary data as those that are not linear combination data, and secondary data as a linear combination of primary data. For example, at the macro-level, primary data are correct and incorrect answers to a question in an examination or students' attendance and absence from a lecture. At the macro-level, secondary data are the total points in an examination or students' total attendance in and absence from a lecture. At the meso-level, secondary data are student records of lectures as well as grade point average, or rank, in the annual record of the university. Primary data are mainly constructed by faculty while secondary data are constructed by administrative staff. To compare primary and secondary data, collaboration between faculty and administrative staff is important.
{"title":"New Proposal to Compare Student Data in Institutional Research","authors":"Yasuo Nakata, Katsuhiko Murakami, Yasuhiro Kozaki, Takafumi Kirimura, Aoi Sugiura, Kenya Bannaka, Kunihiko Takamatsu","doi":"10.1109/IIAI-AAI.2019.00089","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2019.00089","url":null,"abstract":"This article proposes new criteria for using student data in universities. First criteria are called primary data and secondary criteria are called secondary data. We define primary data as those that are not linear combination data, and secondary data as a linear combination of primary data. For example, at the macro-level, primary data are correct and incorrect answers to a question in an examination or students' attendance and absence from a lecture. At the macro-level, secondary data are the total points in an examination or students' total attendance in and absence from a lecture. At the meso-level, secondary data are student records of lectures as well as grade point average, or rank, in the annual record of the university. Primary data are mainly constructed by faculty while secondary data are constructed by administrative staff. To compare primary and secondary data, collaboration between faculty and administrative staff is important.","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":"125309569","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.2019.00120
Takeshi Morinibu, Tomohiro Noda, Tanaka Shota
In Heating, Ventilation, and Air Conditioning (HVAC) control, there are many studies to control air conditioners to improve comfort when people are present, but this paper proposes a method of pre-air conditioning. It is to control the radiant temperature of a room in advance by controlling wind directions of an air conditioner. It has been investigated how the fixed wind direction control of the air conditioner causes the radiation temperature non-uniformity in the room. Reinforcement learning is used as a method to solve it, the effectiveness of which has been verified in the residential environment. Here, thermography is adopted as a sensor for acquiring the state. The proposed method has reduced the nonuniformity of radiation temperature in the room more than the random and normal control. The feature of this study is that all learning and verifications are performed in a real environment, and image data is taken as an input value.
{"title":"Application of Deep Reinforcement Learning in Residential Preconditioning for Radiation Temperature","authors":"Takeshi Morinibu, Tomohiro Noda, Tanaka Shota","doi":"10.1109/IIAI-AAI.2019.00120","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2019.00120","url":null,"abstract":"In Heating, Ventilation, and Air Conditioning (HVAC) control, there are many studies to control air conditioners to improve comfort when people are present, but this paper proposes a method of pre-air conditioning. It is to control the radiant temperature of a room in advance by controlling wind directions of an air conditioner. It has been investigated how the fixed wind direction control of the air conditioner causes the radiation temperature non-uniformity in the room. Reinforcement learning is used as a method to solve it, the effectiveness of which has been verified in the residential environment. Here, thermography is adopted as a sensor for acquiring the state. The proposed method has reduced the nonuniformity of radiation temperature in the room more than the random and normal control. The feature of this study is that all learning and verifications are performed in a real environment, and image data is taken as an input value.","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":"121862885","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.2019.00036
Hayden Cheers, Muhummad Javed, Yuqing Lin, Shamus P. Smith
UML is an important tool in structured software design and is commonly taught in undergraduate software courses. UML defines a complex set of linked notations and mastery requires instruction and examples over many taught courses. Such examples are typically disparate, modelling subsets of distinct systems. Teaching UML benefits from an end-to-end approach where consistency between modelling, design and implementation are equally emphasised and regular feedback is provided. A drawback of this is that assessing learner-derived UML models is a time-intensive and error-prone task if both formative and summative assessment is required. In this paper a novel framework is presented for the automated assessment of UML. The framework allows learners to be provided with automatically generated formative feedback for self-directed learning in the development of UML skills. Emphasis is placed upon the identification of the consistency and coverage of learner diagrams as this is an important skill in the application of UML. By integrating an implementation of this framework, instructor-based UML teaching can be supplemented with an end-to-end tool which allows learners to receive automated formative feedback in their understanding and usage of UML.
{"title":"Exploring a Comprehensive Approach for the Automated Assessment of UML","authors":"Hayden Cheers, Muhummad Javed, Yuqing Lin, Shamus P. Smith","doi":"10.1109/IIAI-AAI.2019.00036","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2019.00036","url":null,"abstract":"UML is an important tool in structured software design and is commonly taught in undergraduate software courses. UML defines a complex set of linked notations and mastery requires instruction and examples over many taught courses. Such examples are typically disparate, modelling subsets of distinct systems. Teaching UML benefits from an end-to-end approach where consistency between modelling, design and implementation are equally emphasised and regular feedback is provided. A drawback of this is that assessing learner-derived UML models is a time-intensive and error-prone task if both formative and summative assessment is required. In this paper a novel framework is presented for the automated assessment of UML. The framework allows learners to be provided with automatically generated formative feedback for self-directed learning in the development of UML skills. Emphasis is placed upon the identification of the consistency and coverage of learner diagrams as this is an important skill in the application of UML. By integrating an implementation of this framework, instructor-based UML teaching can be supplemented with an end-to-end tool which allows learners to receive automated formative feedback in their understanding and usage of UML.","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":"115892790","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.2019.00131
Seiya Okubo, Tasuku Mitsuishi, Yasuki Dobashi, Mitsuo Wakatsuki, T. Nishino
The Monte Carlo tree search has been used in programs that play various games. In this study, we present new applications of the Monte Carlo method for the card game Daihinmin. One is a method of setting good evaluation values in repeated plays of Daihinmin, and the other is a method of increasing or reducing the score of a target player of Daihinmin.
{"title":"New Applications of the Monte Carlo Method for Computer Daihinmin","authors":"Seiya Okubo, Tasuku Mitsuishi, Yasuki Dobashi, Mitsuo Wakatsuki, T. Nishino","doi":"10.1109/IIAI-AAI.2019.00131","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2019.00131","url":null,"abstract":"The Monte Carlo tree search has been used in programs that play various games. In this study, we present new applications of the Monte Carlo method for the card game Daihinmin. One is a method of setting good evaluation values in repeated plays of Daihinmin, and the other is a method of increasing or reducing the score of a target player of Daihinmin.","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":"132044389","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}
Dance has been a required physical education subject in Japan since 2012. However, it is reported that there are many faculties who feel uneasy about the course of study. There is VR (Virtual Reality) as a method of observing CG (computer Graphics) at the present actual scale. Therefore, in this study, we made VR teaching materials for hip-hop dance learners. We decided to listen to the opinions of dancer learners using prepared VR teaching materials. As a result, 15 students gave their opinions on VR materials. 14 students thought that VR materials could be used for dance practice and 1 student thought it was difficult. A lot of students on VR teaching materials said they could use it for dancing practice. The reason was that the movements of hip - hop were particularly easier to understand. This was considered to be an enlightened awareness of CG where information has been reduced. Less information may give beginners more awareness to improve their hip-hop dance.
{"title":"VR Teaching Materials for Dance Practice","authors":"Yoko Usui, Katsumi Sato, Shinichi Watabe, Erina Yanagida","doi":"10.1109/IIAI-AAI.2019.00044","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2019.00044","url":null,"abstract":"Dance has been a required physical education subject in Japan since 2012. However, it is reported that there are many faculties who feel uneasy about the course of study. There is VR (Virtual Reality) as a method of observing CG (computer Graphics) at the present actual scale. Therefore, in this study, we made VR teaching materials for hip-hop dance learners. We decided to listen to the opinions of dancer learners using prepared VR teaching materials. As a result, 15 students gave their opinions on VR materials. 14 students thought that VR materials could be used for dance practice and 1 student thought it was difficult. A lot of students on VR teaching materials said they could use it for dancing practice. The reason was that the movements of hip - hop were particularly easier to understand. This was considered to be an enlightened awareness of CG where information has been reduced. Less information may give beginners more awareness to improve their hip-hop dance.","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":"130193260","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.2019.00213
Yutaka Takesue, Yoshiki Mashima, K. Takeuchi
It is not an easy task for teachers to make students' answers for programming exercises. In scoring such a student program, the teacher needs to evaluate not only the degree of program achievement but also which way the program achieve the requirements. In order to solve such problems, we propose a supporting method to evaluate the program using "prog2vec", which is software that converts a program into its feature vector representation. Specifically, our method estimates whether a programming problem needs certain ways to achieve its purpose or not. The input of the method is a set of the programs that are made as answer for the problem. If the method estimates that specific ways are needed to achieve the given problem, it also visualizes these programing ways in structural graph representation. In this way, our proposed method helps teachers that have a lot of and various answers for a programming problem to define evaluation criteria for those answers.
{"title":"Analysis and Visualization of Patterns in Answers to Programming Problems","authors":"Yutaka Takesue, Yoshiki Mashima, K. Takeuchi","doi":"10.1109/IIAI-AAI.2019.00213","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2019.00213","url":null,"abstract":"It is not an easy task for teachers to make students' answers for programming exercises. In scoring such a student program, the teacher needs to evaluate not only the degree of program achievement but also which way the program achieve the requirements. In order to solve such problems, we propose a supporting method to evaluate the program using \"prog2vec\", which is software that converts a program into its feature vector representation. Specifically, our method estimates whether a programming problem needs certain ways to achieve its purpose or not. The input of the method is a set of the programs that are made as answer for the problem. If the method estimates that specific ways are needed to achieve the given problem, it also visualizes these programing ways in structural graph representation. In this way, our proposed method helps teachers that have a lot of and various answers for a programming problem to define evaluation criteria for those answers.","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":"134536932","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.2019.00117
Yu‐Hsiu Lin, M. Tsai
Electrical energy demands requested from down-stream sectors in a smart grid continuously increase recently. One way to meet those demands is to monitor and manage industrial, commercial as well as residential electrical loads efficiently in response to demand response programs for Demand-Side Management (DSM). Compared with energy management systems, Non-Intrusive Load Monitoring (NILM), a cost-effective technique, deduces used electrical appliances from a measured total load according to the individual characteristics. This paper presents an NILM system based on Particle Swarm Optimization (PSO) for DSM, which is considered as a combinatorial optimization problem. The PSO-based load disaggregation presented in this paper is evaluated in a real house environment. As the experimentation reported in this paper shows, the presented NILM approach gave an average load identification rate of 64.06%.
{"title":"Non-Intrusive Load Monitoring Based on Swarm Intelligence","authors":"Yu‐Hsiu Lin, M. Tsai","doi":"10.1109/IIAI-AAI.2019.00117","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2019.00117","url":null,"abstract":"Electrical energy demands requested from down-stream sectors in a smart grid continuously increase recently. One way to meet those demands is to monitor and manage industrial, commercial as well as residential electrical loads efficiently in response to demand response programs for Demand-Side Management (DSM). Compared with energy management systems, Non-Intrusive Load Monitoring (NILM), a cost-effective technique, deduces used electrical appliances from a measured total load according to the individual characteristics. This paper presents an NILM system based on Particle Swarm Optimization (PSO) for DSM, which is considered as a combinatorial optimization problem. The PSO-based load disaggregation presented in this paper is evaluated in a real house environment. As the experimentation reported in this paper shows, the presented NILM approach gave an average load identification rate of 64.06%.","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":"134102750","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}
Hokkaido University provides the special graduate education program "Nitobe School" from 2015. The program adopts Student Emotional Quotient (SEQ) as a supportive system of the assessment of educational quality. We have reported the result of SEQ for the Japanese Nitobe School students who entered the program in academic year (AY) 2015 previously. This paper reports the results of SEQ for the Japanese students enrolled in AY 2016. We compared the score of AY 2016 students with AY 2015, and found the variation of score in AY 2016 is smaller than AY 2015. On the other hand, the SEQ score of students who dropped out Nitobe School showed a characteristic shape in AY 2016, compared with AY 2015. So, we classified the dropped out students into "withdrawals" and "ghost" and analyzed each group SEQ score to clarify the reason of dropout. The results of this analysis showed the "withdrawals" left the program because they could not stand up and overcome the initial phase of team-building, and the "ghost" acted a lot to advance teamworking but seem to be suffered from such effort. We found SEQ can be used to detect such hidden suffering students by analyzing the result of SEQ earlier.
{"title":"Comparison of Student EQ with Completed and Dropout Students in a Special Graduate Educational Program","authors":"Shotaro Imai, Michiyo Shimamura, Kazuhiko Terasawa","doi":"10.1109/IIAI-AAI.2019.00091","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2019.00091","url":null,"abstract":"Hokkaido University provides the special graduate education program \"Nitobe School\" from 2015. The program adopts Student Emotional Quotient (SEQ) as a supportive system of the assessment of educational quality. We have reported the result of SEQ for the Japanese Nitobe School students who entered the program in academic year (AY) 2015 previously. This paper reports the results of SEQ for the Japanese students enrolled in AY 2016. We compared the score of AY 2016 students with AY 2015, and found the variation of score in AY 2016 is smaller than AY 2015. On the other hand, the SEQ score of students who dropped out Nitobe School showed a characteristic shape in AY 2016, compared with AY 2015. So, we classified the dropped out students into \"withdrawals\" and \"ghost\" and analyzed each group SEQ score to clarify the reason of dropout. The results of this analysis showed the \"withdrawals\" left the program because they could not stand up and overcome the initial phase of team-building, and the \"ghost\" acted a lot to advance teamworking but seem to be suffered from such effort. We found SEQ can be used to detect such hidden suffering students by analyzing the result of SEQ earlier.","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":"131512302","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.2019.00046
Isao Hiramatsu, Kousuke Mouri, B. Indurkhya, K. Kaneko
We have developed an answer verification system for helping visually impaired people who are learning how to use a spreadsheet software by answering problem-solving exercises. Visually impaired learners have difficulty in verifying their answers on their own with conventional software tools. Hence, the answer verification system is designed to provide feedback to the learners with respect to the numbers of errors in their answers, the error locations, and the reasons behind the errors. The messages output from our system can be read out by a screen reader, and our system can treat various kinds of problem-solving exercises of a spreadsheet software. We conducted an evaluation study of our system both with the teachers and the students to assess its usability and functionality. Based on the results of this study, we generated an improved version of our system, which is also described here.
{"title":"Development of an Answer Verification System for Helping Visually Impaired People to Learn a Spreadsheet Software","authors":"Isao Hiramatsu, Kousuke Mouri, B. Indurkhya, K. Kaneko","doi":"10.1109/IIAI-AAI.2019.00046","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2019.00046","url":null,"abstract":"We have developed an answer verification system for helping visually impaired people who are learning how to use a spreadsheet software by answering problem-solving exercises. Visually impaired learners have difficulty in verifying their answers on their own with conventional software tools. Hence, the answer verification system is designed to provide feedback to the learners with respect to the numbers of errors in their answers, the error locations, and the reasons behind the errors. The messages output from our system can be read out by a screen reader, and our system can treat various kinds of problem-solving exercises of a spreadsheet software. We conducted an evaluation study of our system both with the teachers and the students to assess its usability and functionality. Based on the results of this study, we generated an improved version of our system, which is also described here.","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":"130986519","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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