The term 'gamification' refers to the use of game elements in non-game environments like education, business, sales and marketing. The method of 'gamifying' has been applied in many different contexts and for many different reasons; for instance, in order to improve productivity, to increase sales, to motivate employees and customers, et al. In recent years, educators began to investigate the effects of different gamification elements within the context of education. There has been a considerable debate regarding the actual effects of gamification on the intrinsic motivation of students towards learning, and many research have been conducted in order to discover the results of 'gamifying' any specific course curriculum. Each research study has revealed another impediment, supported by multiple review studies that revealed significant problems with some of the methods of majority of studies in the research area now known as the 'gamification of education'. This paper explains the design, analysis and implementation process of an open-source gamification platform, which is aimed at providing a gamification platform for education, while also explaining a preliminary survey conducted on an Introduction to Java course. The platform was developed using multiple technologies and frameworks related to the Java programming language while the survey was conducted at third level education students through a quantitative questionnaire.
{"title":"Gamification for Teaching Java","authors":"Çagri Çubukçu, Bo Wang, L. Goodman, E. Mangina","doi":"10.1145/3173519.3173538","DOIUrl":"https://doi.org/10.1145/3173519.3173538","url":null,"abstract":"The term 'gamification' refers to the use of game elements in non-game environments like education, business, sales and marketing. The method of 'gamifying' has been applied in many different contexts and for many different reasons; for instance, in order to improve productivity, to increase sales, to motivate employees and customers, et al. In recent years, educators began to investigate the effects of different gamification elements within the context of education. There has been a considerable debate regarding the actual effects of gamification on the intrinsic motivation of students towards learning, and many research have been conducted in order to discover the results of 'gamifying' any specific course curriculum. Each research study has revealed another impediment, supported by multiple review studies that revealed significant problems with some of the methods of majority of studies in the research area now known as the 'gamification of education'. This paper explains the design, analysis and implementation process of an open-source gamification platform, which is aimed at providing a gamification platform for education, while also explaining a preliminary survey conducted on an Introduction to Java course. The platform was developed using multiple technologies and frameworks related to the Java programming language while the survey was conducted at third level education students through a quantitative questionnaire.","PeriodicalId":313480,"journal":{"name":"Proceedings of the 10th EAI International Conference on Simulation Tools and Techniques","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128383303","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}
Zhixiong Yue, Yinghao Jiang, Dong Pan, Zongwei Luo
Developing a verbal reasoning question recommendation system is an ideal way to help the GRE® test takers improve their verbal reasoning abilities by practicing questions more efficiently. As there are a great number of verbal reasoning practice questions and limited practice time for test takers, it is impossible to practice all kinds of questions at the same time. Personalized referral systems should be built based on the characteristics of specific respondents, and forming professional recommendation systems for different questions. Based on the examinee's current practicing accuracy and fallible difficulties, we propose an End-to-end Tag-based Recommendation System (ETRS) for task takers to optimize practice effect. Code of this paper can be found on https://github.com/Oliver-Q/ETRS-for-Verbal-Reasoning-Questions.
{"title":"An End-to-end Tag-based Recommendation System for Verbal Reasoning Questions","authors":"Zhixiong Yue, Yinghao Jiang, Dong Pan, Zongwei Luo","doi":"10.1145/3173519.3173530","DOIUrl":"https://doi.org/10.1145/3173519.3173530","url":null,"abstract":"Developing a verbal reasoning question recommendation system is an ideal way to help the GRE® test takers improve their verbal reasoning abilities by practicing questions more efficiently. As there are a great number of verbal reasoning practice questions and limited practice time for test takers, it is impossible to practice all kinds of questions at the same time. Personalized referral systems should be built based on the characteristics of specific respondents, and forming professional recommendation systems for different questions. Based on the examinee's current practicing accuracy and fallible difficulties, we propose an End-to-end Tag-based Recommendation System (ETRS) for task takers to optimize practice effect. Code of this paper can be found on https://github.com/Oliver-Q/ETRS-for-Verbal-Reasoning-Questions.","PeriodicalId":313480,"journal":{"name":"Proceedings of the 10th EAI International Conference on Simulation Tools and Techniques","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131589572","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}
Cellular Automata (CA) models are represented as a collection of independent dynamical cells having some specific spatial relationship to each other. These tessellation automata can have simple to complex behaviors due to both individual cell behaviors as well as their interactions. Code debugging, supported by advanced software development tools, is needed for developing CAs owing their complex dynamics to cells that have non-trivial event handling and timing. As such, it is useful to debug models during simulation through step-by-step examination of any number of cells using rich control and visualization means. In this paper, we show the CA-DEVS framework where cell and Cellular Automata models are derived from atomic and coupled Parallel DEVS models. This framework uniquely supports visualizations using run-time generation of input, output, and state linear and superdense time trajectories as well as run-time spatial animation with playback. Multimodal visualization capabilities allow examining behavior of any number of cells independent of any other cell. We describe some key parts of the architectural design of the CA-DEVS and highlight some ongoing and future research.
{"title":"Cellular Automata DEVS: A Modeling, Simulation, and Visualization Environment","authors":"Chao Zhang, H. Sarjoughian","doi":"10.1145/3173519.3173534","DOIUrl":"https://doi.org/10.1145/3173519.3173534","url":null,"abstract":"Cellular Automata (CA) models are represented as a collection of independent dynamical cells having some specific spatial relationship to each other. These tessellation automata can have simple to complex behaviors due to both individual cell behaviors as well as their interactions. Code debugging, supported by advanced software development tools, is needed for developing CAs owing their complex dynamics to cells that have non-trivial event handling and timing. As such, it is useful to debug models during simulation through step-by-step examination of any number of cells using rich control and visualization means. In this paper, we show the CA-DEVS framework where cell and Cellular Automata models are derived from atomic and coupled Parallel DEVS models. This framework uniquely supports visualizations using run-time generation of input, output, and state linear and superdense time trajectories as well as run-time spatial animation with playback. Multimodal visualization capabilities allow examining behavior of any number of cells independent of any other cell. We describe some key parts of the architectural design of the CA-DEVS and highlight some ongoing and future research.","PeriodicalId":313480,"journal":{"name":"Proceedings of the 10th EAI International Conference on Simulation Tools and Techniques","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126234283","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}
{"title":"Proceedings of the 10th EAI International Conference on Simulation Tools and Techniques","authors":"","doi":"10.1145/3173519","DOIUrl":"https://doi.org/10.1145/3173519","url":null,"abstract":"","PeriodicalId":313480,"journal":{"name":"Proceedings of the 10th EAI International Conference on Simulation Tools and Techniques","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121629826","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}