Pub Date : 2016-07-10DOI: 10.1109/IIAI-AAI.2016.198
Satoshi Hiai, Kazutaka Shimada
Sarcasm presents a negative meaning with positive expressions and is a non-literalistic expression. Sarcasm detection is an important task because it contributes directly to the improvement of the accuracy of sentiment analysis tasks. In this study, we propose a extraction method of sarcastic sentences in product reviews. First, we analyze sarcastic sentences in product reviews and classify the sentences into 8 classes by focusing on evaluation expressions. Next, we generate classification rules for each class and use them to extract sarcastic sentences. Our method consists of three stage, judgment processes based on rules for 8 classes, boosting rules and rejection rules. In the experiment, we compare our method with a baseline based on a simple rule. The experimental result shows the effectiveness of our method.
{"title":"A Sarcasm Extraction Method Based on Patterns of Evaluation Expressions","authors":"Satoshi Hiai, Kazutaka Shimada","doi":"10.1109/IIAI-AAI.2016.198","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2016.198","url":null,"abstract":"Sarcasm presents a negative meaning with positive expressions and is a non-literalistic expression. Sarcasm detection is an important task because it contributes directly to the improvement of the accuracy of sentiment analysis tasks. In this study, we propose a extraction method of sarcastic sentences in product reviews. First, we analyze sarcastic sentences in product reviews and classify the sentences into 8 classes by focusing on evaluation expressions. Next, we generate classification rules for each class and use them to extract sarcastic sentences. Our method consists of three stage, judgment processes based on rules for 8 classes, boosting rules and rejection rules. In the experiment, we compare our method with a baseline based on a simple rule. The experimental result shows the effectiveness of our method.","PeriodicalId":272739,"journal":{"name":"2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129289924","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 : 2016-07-10DOI: 10.1109/IIAI-AAI.2016.135
Shotaro Imai, Ankit A. Ravankar, Michiyo Shimamura, Taichi E. Takasuka, G. Chiba, Yasuhiro Yamanaka
The new graduate school education program Nitobe School was launched in 2015 as one of main education projects of “Top Global University Project” in Hokkaido University. This new graduate program is aimed to supply currently undermined skill-set to students from different home graduate or professional school. The scope of the Nitobe School program is to foster students to be a global leader who might contribute not only for local societies but also internationally by Team-Based-Learning (TBL) and Project-Based-Learning (PBL) methods. Since students have different expertise including the area of STEM and humanity, teachers cannot guide classes with their field, rather teachers need to educate students using a general topics. This general education program apparently requires different approaches from the conventional one. After completion of the first year of Nitobe School, we took place the survey that asked students how they felt about our new teaching methods. Overall, students appreciated with the new methods that we carried out, but there are some spaces for further improvement. In this report, we suggest potential ways to improve the Nitobe School program, which will be able to enhance further educating students, and at the same time educate teachers toward the TBL and PBL.
{"title":"Discussion on a Method of Team-Based-Learning Style Lecture for Graduate Students in a Research University","authors":"Shotaro Imai, Ankit A. Ravankar, Michiyo Shimamura, Taichi E. Takasuka, G. Chiba, Yasuhiro Yamanaka","doi":"10.1109/IIAI-AAI.2016.135","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2016.135","url":null,"abstract":"The new graduate school education program Nitobe School was launched in 2015 as one of main education projects of “Top Global University Project” in Hokkaido University. This new graduate program is aimed to supply currently undermined skill-set to students from different home graduate or professional school. The scope of the Nitobe School program is to foster students to be a global leader who might contribute not only for local societies but also internationally by Team-Based-Learning (TBL) and Project-Based-Learning (PBL) methods. Since students have different expertise including the area of STEM and humanity, teachers cannot guide classes with their field, rather teachers need to educate students using a general topics. This general education program apparently requires different approaches from the conventional one. After completion of the first year of Nitobe School, we took place the survey that asked students how they felt about our new teaching methods. Overall, students appreciated with the new methods that we carried out, but there are some spaces for further improvement. In this report, we suggest potential ways to improve the Nitobe School program, which will be able to enhance further educating students, and at the same time educate teachers toward the TBL and PBL.","PeriodicalId":272739,"journal":{"name":"2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"133 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116019812","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 : 2016-07-10DOI: 10.1109/IIAI-AAI.2016.85
Wasan Leelaloetphanit, Wasu Leelaloetphanit, Krit Srikwanjai, Promarate Chomanan, I. Khemapech
Health-related aspects are very important to both civilian and each of the countries. Three key issues have been currently realized. Firstly, Deficiency of medical personnel affects the quality of treatment, care and nursing. Secondly, many countries have been approaching a super-aged society. Proper policies are needed and applied to the elderly. Thirdly, current medical system lacks of preventive medicine application which efficiently prevents and relieves disease prevalence. Computer technology has been currently applied to several domains in order to yield better performance. Wearable devices have become usable and applicable to sense several vital signs and communicate them with other networked nodes via the Internet. In this paper, "UbiNurSS on Mobile - A Ubiquitous Nursing Support System on Mobile Devices" has been developed for nursing support. UbiNurSS employs available devices which are capable of measuring pulse which reflects pulse or heart rate and blood pressure. Mobile devices have also been used. UbiNurSS on Mobile consists of two sub-systems -- a mobile application which facilitates health monitoring and warning for both wearer and doctor, and a web application which facilitates the nurse's or caregiver's tasks at a nursing station or an ordinary dwelling. The heart rate report and corresponding warning can be generated in real-time. We demonstrate feasible applicability of UbiNurSS on Mobile in terms of users' satisfaction survey.
{"title":"UbiNurSS on Mobile: A Ubiquitous Nursing Support System on Mobile Devices","authors":"Wasan Leelaloetphanit, Wasu Leelaloetphanit, Krit Srikwanjai, Promarate Chomanan, I. Khemapech","doi":"10.1109/IIAI-AAI.2016.85","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2016.85","url":null,"abstract":"Health-related aspects are very important to both civilian and each of the countries. Three key issues have been currently realized. Firstly, Deficiency of medical personnel affects the quality of treatment, care and nursing. Secondly, many countries have been approaching a super-aged society. Proper policies are needed and applied to the elderly. Thirdly, current medical system lacks of preventive medicine application which efficiently prevents and relieves disease prevalence. Computer technology has been currently applied to several domains in order to yield better performance. Wearable devices have become usable and applicable to sense several vital signs and communicate them with other networked nodes via the Internet. In this paper, \"UbiNurSS on Mobile - A Ubiquitous Nursing Support System on Mobile Devices\" has been developed for nursing support. UbiNurSS employs available devices which are capable of measuring pulse which reflects pulse or heart rate and blood pressure. Mobile devices have also been used. UbiNurSS on Mobile consists of two sub-systems -- a mobile application which facilitates health monitoring and warning for both wearer and doctor, and a web application which facilitates the nurse's or caregiver's tasks at a nursing station or an ordinary dwelling. The heart rate report and corresponding warning can be generated in real-time. We demonstrate feasible applicability of UbiNurSS on Mobile in terms of users' satisfaction survey.","PeriodicalId":272739,"journal":{"name":"2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122275592","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 : 2016-07-10DOI: 10.1109/IIAI-AAI.2016.41
Stephen J. H. Yang, Chester S. J. Huang
Taiwan's Ministry of Education (MoE) started planning and promoting comprehensive Digital Learning Initiative in 2013. It is expected that teachers and students can use broadband networks in campus in 2017. Students can do online learning with different kinds of digital devices at any time. Besides, students can do ubiquitous learning by getting digital learning resources on cloud devices. Teachers can grasp innovative teaching strategies with the application of digital technology and design the learning activities that are more adaptive to individual students. Students have the information force of mobile learning, the abilities to use information tools and grasp the information, as well as Internet literacy and ethics. The learning model of education at all levels will transform into student-centered to facilitate justice, public, autonomy and adaptive learning opportunities as well as make students in the country and those in the city have equal digital learning opportunities. Digital Learning Initiative will have profound influence on education system. Education cloud (EduCloud) is the flagship of the digital learning initiative. This paper presents our research and experience of applying Big data analytics to the EduCloud. We address Big data infrastructure and analytics to cover the issues of data collection, cleaning, storage, query, analytics, and visualization in order to make EduCloud more suitable for teachers and students in Taiwan.
{"title":"Taiwan Digital Learning Initiative and Big Data Analytics in Education Cloud","authors":"Stephen J. H. Yang, Chester S. J. Huang","doi":"10.1109/IIAI-AAI.2016.41","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2016.41","url":null,"abstract":"Taiwan's Ministry of Education (MoE) started planning and promoting comprehensive Digital Learning Initiative in 2013. It is expected that teachers and students can use broadband networks in campus in 2017. Students can do online learning with different kinds of digital devices at any time. Besides, students can do ubiquitous learning by getting digital learning resources on cloud devices. Teachers can grasp innovative teaching strategies with the application of digital technology and design the learning activities that are more adaptive to individual students. Students have the information force of mobile learning, the abilities to use information tools and grasp the information, as well as Internet literacy and ethics. The learning model of education at all levels will transform into student-centered to facilitate justice, public, autonomy and adaptive learning opportunities as well as make students in the country and those in the city have equal digital learning opportunities. Digital Learning Initiative will have profound influence on education system. Education cloud (EduCloud) is the flagship of the digital learning initiative. This paper presents our research and experience of applying Big data analytics to the EduCloud. We address Big data infrastructure and analytics to cover the issues of data collection, cleaning, storage, query, analytics, and visualization in order to make EduCloud more suitable for teachers and students in Taiwan.","PeriodicalId":272739,"journal":{"name":"2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132434248","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 : 2016-07-10DOI: 10.1109/IIAI-AAI.2016.237
Mengyu Qiao, A. Sung, Qingzhong Liu
The prosperity of mobile devices have been rapidly and drastically reforming the use pattern and of user habits with computing devices. Android, the most popular mobile operating system, has a privilege-separated security system through a sophisticated permission control mechanism. Android Apps need to request permissions to access sensitive personal data and system resources, but empirical studies have found that various types of malicious software could obtain permissions and attack systems and applications by deceiving users and the security mechanism. In this paper, we propose a novel machine learning approach to detect malware by mining the patterns of Permissions and API Function Calls acquired and used by Android Apps. Based on static analysis of source code and resource files of Android Apps, binary and numerical features are extracted for qualitative and quantitative evaluation. Feature selection methods are applied to reduce the feature dimension and enhance the efficiency. Different machine learning methods, including Support Vector Machines, Random Forest and Neural Networks, are applied and compared in classification. The experimental results show that the proposed approach delivers accurate detection of Android malware. We deem that the proposed approach could help raise users' awareness of potential risks and mitigate malware threats for Android devices.
{"title":"Merging Permission and API Features for Android Malware Detection","authors":"Mengyu Qiao, A. Sung, Qingzhong Liu","doi":"10.1109/IIAI-AAI.2016.237","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2016.237","url":null,"abstract":"The prosperity of mobile devices have been rapidly and drastically reforming the use pattern and of user habits with computing devices. Android, the most popular mobile operating system, has a privilege-separated security system through a sophisticated permission control mechanism. Android Apps need to request permissions to access sensitive personal data and system resources, but empirical studies have found that various types of malicious software could obtain permissions and attack systems and applications by deceiving users and the security mechanism. In this paper, we propose a novel machine learning approach to detect malware by mining the patterns of Permissions and API Function Calls acquired and used by Android Apps. Based on static analysis of source code and resource files of Android Apps, binary and numerical features are extracted for qualitative and quantitative evaluation. Feature selection methods are applied to reduce the feature dimension and enhance the efficiency. Different machine learning methods, including Support Vector Machines, Random Forest and Neural Networks, are applied and compared in classification. The experimental results show that the proposed approach delivers accurate detection of Android malware. We deem that the proposed approach could help raise users' awareness of potential risks and mitigate malware threats for Android devices.","PeriodicalId":272739,"journal":{"name":"2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127773189","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 : 2016-07-10DOI: 10.1109/IIAI-AAI.2016.86
M. Bagus, T. Murata
In the product design, consumer preferences analysis is very helpful for consumer products design. One of the most important factors for a consumer's purchasing decision is a products exterior design. Products exterior design is dependent on sensibility of designer to demonstrate the features and functionalities of products. Hence, how to develop products exterior design which motivate consumers' affective responses on consumers' concerns is of great importance exterior design manufacturers. To understand contributing factors of products exterior for consumer's purchasing decision, this paper proposed to use conjoint analysis technique with Kansei Engineering System (KES) scheme. Conjoint analysis technique is used to determine what features of product exterior design which attracts consumers' concerns. The target of conjoint analysis is to obtain utility scores that represents factors of products exterior design, hence based on its score, it can be concluded which of the attributes of products exterior design more attract consumers' concerns in purchasing decision. This paper proposed novel method to analyze factors of products exterior design that reflect consumer purchasing concerns toward new products. First of all, questionnaires relating to kansei words which represents consumers' concerns with a new product exterior design were prepared. From 50 respondents answers for the questionnaires, 12 pairs of kansei word considered to represent consumer desire and/or concerns with the new product exterior design were extracted. After that, several features of the product exterior design, such as shape, product size, material, color and accessories, had prepared previously were combined with 12 pairs of the kansei word in order to get the attribute of the product exterior design which are considered to affect consumers' purchasing decision. The final result, we got Kansei word of “Contemporary - Conventional” is more considered by consumer as purchasing decision.
{"title":"Conjoint Analysis of Costumers' Preferences with Kansei Engineering System for Product Exterior Design","authors":"M. Bagus, T. Murata","doi":"10.1109/IIAI-AAI.2016.86","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2016.86","url":null,"abstract":"In the product design, consumer preferences analysis is very helpful for consumer products design. One of the most important factors for a consumer's purchasing decision is a products exterior design. Products exterior design is dependent on sensibility of designer to demonstrate the features and functionalities of products. Hence, how to develop products exterior design which motivate consumers' affective responses on consumers' concerns is of great importance exterior design manufacturers. To understand contributing factors of products exterior for consumer's purchasing decision, this paper proposed to use conjoint analysis technique with Kansei Engineering System (KES) scheme. Conjoint analysis technique is used to determine what features of product exterior design which attracts consumers' concerns. The target of conjoint analysis is to obtain utility scores that represents factors of products exterior design, hence based on its score, it can be concluded which of the attributes of products exterior design more attract consumers' concerns in purchasing decision. This paper proposed novel method to analyze factors of products exterior design that reflect consumer purchasing concerns toward new products. First of all, questionnaires relating to kansei words which represents consumers' concerns with a new product exterior design were prepared. From 50 respondents answers for the questionnaires, 12 pairs of kansei word considered to represent consumer desire and/or concerns with the new product exterior design were extracted. After that, several features of the product exterior design, such as shape, product size, material, color and accessories, had prepared previously were combined with 12 pairs of the kansei word in order to get the attribute of the product exterior design which are considered to affect consumers' purchasing decision. The final result, we got Kansei word of “Contemporary - Conventional” is more considered by consumer as purchasing decision.","PeriodicalId":272739,"journal":{"name":"2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117271805","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 : 2016-07-10DOI: 10.1109/IIAI-AAI.2016.241
Hirofumi Mizuno, Satoshi Takahashi
According to national government white paper, about four hundred thousand people have used two thousand shelters at the Great East Japan Earthquake in 2011. In this white paper, almost shelters did not have enough relief goods for evacuees, and also transportation capacities of relief goods were not enough by fuel shortage. Since it is difficult to estimate how many evacuees will come to the shelter, we can consider that the necessary relief goods satisfaction of each shelter is not same. Furthermore, it is necessary to consume the relief goods efficiently under the disaster. In this paper, we propose a goods sharing model based on demand and priority of shelters, which considers multiple relief goods. Also we formulate this problem as a mathematical optimization problem based on vehicle routing problems. To evaluate our model, we investigate a computational experiment by using Chofu city (in Tokyo) data.
{"title":"Goods Sharing Problems for Emergency Supply","authors":"Hirofumi Mizuno, Satoshi Takahashi","doi":"10.1109/IIAI-AAI.2016.241","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2016.241","url":null,"abstract":"According to national government white paper, about four hundred thousand people have used two thousand shelters at the Great East Japan Earthquake in 2011. In this white paper, almost shelters did not have enough relief goods for evacuees, and also transportation capacities of relief goods were not enough by fuel shortage. Since it is difficult to estimate how many evacuees will come to the shelter, we can consider that the necessary relief goods satisfaction of each shelter is not same. Furthermore, it is necessary to consume the relief goods efficiently under the disaster. In this paper, we propose a goods sharing model based on demand and priority of shelters, which considers multiple relief goods. Also we formulate this problem as a mathematical optimization problem based on vehicle routing problems. To evaluate our model, we investigate a computational experiment by using Chofu city (in Tokyo) data.","PeriodicalId":272739,"journal":{"name":"2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126847653","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 : 2016-07-10DOI: 10.1109/IIAI-AAI.2016.110
Akira Fukuda, K. Hisazumi, S. Ishida, Tsunenori Mine, Tsuneo Nakanishi, Hiroki Furusho, S. Tagashira, Y. Arakawa, K. Kaneko, W. Kong
Smart mobility systems, which include Intelligent Transportation System (ITS) and smart energy systems, become more important. There is, however, lack of its platform studies. This paper proposes a sustainable information infrastructure project for smart mobility systems. The project pursues issues that establish an information infrastructure architecture and seamless development method chain for it. The project has mainly two features, (1) applying life-cycle-oriented methods, which are a cycle from system development to operations, to the real world, and (2) dealing with uncertainties when a system begins to be designed. This paper describes an overview of the project.
{"title":"Towards Sustainable Information Infrastructure Platform for Smart Mobility - Project Overview","authors":"Akira Fukuda, K. Hisazumi, S. Ishida, Tsunenori Mine, Tsuneo Nakanishi, Hiroki Furusho, S. Tagashira, Y. Arakawa, K. Kaneko, W. Kong","doi":"10.1109/IIAI-AAI.2016.110","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2016.110","url":null,"abstract":"Smart mobility systems, which include Intelligent Transportation System (ITS) and smart energy systems, become more important. There is, however, lack of its platform studies. This paper proposes a sustainable information infrastructure project for smart mobility systems. The project pursues issues that establish an information infrastructure architecture and seamless development method chain for it. The project has mainly two features, (1) applying life-cycle-oriented methods, which are a cycle from system development to operations, to the real world, and (2) dealing with uncertainties when a system begins to be designed. This paper describes an overview of the project.","PeriodicalId":272739,"journal":{"name":"2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122287901","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 : 2016-07-10DOI: 10.1109/IIAI-AAI.2016.58
Miho Funamori
This paper analyzes the impact of digitization on higher education by comparing the measures taken by universities at the beginning of the digital age and after the consequences of digitization are observed. The measures taken at the start of the digital age were to transfer transactions from the physical space to the digital sphere, a goal that has, for the most part, been achieved. On the other hand, digitization has moved higher education toward evidence-based decision-making, quantified research evaluation, and modularized flexible higher education provision. Digitization, which has progressed in alignment with the ongoing worldwide university reform and has even accelerated this reform, has affected a fundamental change to the higher education system. Worldwide university reform, which has been driven by globalization, marketization, and massification trends in higher education, has almost reached a saturation point. However, digitization is pushing higher education into a new phase. Higher education across the globe needs to pursue and implement new digitization measures for reform to have the kind of impact required.
{"title":"The Impact of the Digital Age on Higher Education: Beyond Transformation from the Physical Space to the Digital Sphere","authors":"Miho Funamori","doi":"10.1109/IIAI-AAI.2016.58","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2016.58","url":null,"abstract":"This paper analyzes the impact of digitization on higher education by comparing the measures taken by universities at the beginning of the digital age and after the consequences of digitization are observed. The measures taken at the start of the digital age were to transfer transactions from the physical space to the digital sphere, a goal that has, for the most part, been achieved. On the other hand, digitization has moved higher education toward evidence-based decision-making, quantified research evaluation, and modularized flexible higher education provision. Digitization, which has progressed in alignment with the ongoing worldwide university reform and has even accelerated this reform, has affected a fundamental change to the higher education system. Worldwide university reform, which has been driven by globalization, marketization, and massification trends in higher education, has almost reached a saturation point. However, digitization is pushing higher education into a new phase. Higher education across the globe needs to pursue and implement new digitization measures for reform to have the kind of impact required.","PeriodicalId":272739,"journal":{"name":"2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"140 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130901226","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 : 2016-07-10DOI: 10.1109/IIAI-AAI.2016.27
Chih-Kai Chang
Visual programming languages (VPLs), such as Scratch and StarLogo TNG, can make computer science education more accessible to everyone. Current researches in the study of using VPLs for educational purposes primarily focus on understanding motivational benefits and computational thinking gains. All these educational VPLs claim to scaffold students learning computational thinking concepts. Although the evaluations show that students may exhibit more enthusiasm, it is not clear what computational thinking concepts are actually learned by students. In this paper, we attempt to develop a visual programs recognition tool for student-created StarLogo TNG simulations which representing the computational thinking concepts implemented by the students. Through collecting student's created projects over time, this visual programs recognition tool can possibly indicate the patterns of computational thinking in science simulations created by StarLogo TNG.
{"title":"Using Computational Thinking Patterns to Scaffold Program Design in Introductory Programming Course","authors":"Chih-Kai Chang","doi":"10.1109/IIAI-AAI.2016.27","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2016.27","url":null,"abstract":"Visual programming languages (VPLs), such as Scratch and StarLogo TNG, can make computer science education more accessible to everyone. Current researches in the study of using VPLs for educational purposes primarily focus on understanding motivational benefits and computational thinking gains. All these educational VPLs claim to scaffold students learning computational thinking concepts. Although the evaluations show that students may exhibit more enthusiasm, it is not clear what computational thinking concepts are actually learned by students. In this paper, we attempt to develop a visual programs recognition tool for student-created StarLogo TNG simulations which representing the computational thinking concepts implemented by the students. Through collecting student's created projects over time, this visual programs recognition tool can possibly indicate the patterns of computational thinking in science simulations created by StarLogo TNG.","PeriodicalId":272739,"journal":{"name":"2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132558184","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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