F. F. Moro, Edilene Cristiano de Figuere Valeriano, Viviane I. da Silva, Eliane Pozzebon, Luciana B. Friggo
The use of Information and Communication Technologies related to sustainability in the educational environment has enabled positive impacts in schools. In this sense, the present article describes an experience with the use of the MAZK Intelligent Tutor System, as it assists in the students 'learning and in the teachers' practice obtaining real-time evaluative results, thus educating for sustainability, since it dispenses the use of paper in the application of the evaluative activities. A pilot test was developed with geography content within the virtual environment containing explanations, examples and exercises was developed to assist in the teaching-learning process and evaluation. Through the analysis of applied questionnaires the reports show that the intelligent tutor obtained positive results with its clarity and practicality being considered simple and dynamic favoring the interpersonal relationship between teachers and students.
{"title":"The use of Mazk intelligent tutor in the process of teaching and learning geography applied in elementary education","authors":"F. F. Moro, Edilene Cristiano de Figuere Valeriano, Viviane I. da Silva, Eliane Pozzebon, Luciana B. Friggo","doi":"10.5753/wave.2018.18","DOIUrl":"https://doi.org/10.5753/wave.2018.18","url":null,"abstract":"The use of Information and Communication Technologies related to sustainability in the educational environment has enabled positive impacts in schools. In this sense, the present article describes an experience with the use of the MAZK Intelligent Tutor System, as it assists in the students 'learning and in the teachers' practice obtaining real-time evaluative results, thus educating for sustainability, since it dispenses the use of paper in the application of the evaluative activities. A pilot test was developed with geography content within the virtual environment containing explanations, examples and exercises was developed to assist in the teaching-learning process and evaluation. Through the analysis of applied questionnaires the reports show that the intelligent tutor obtained positive results with its clarity and practicality being considered simple and dynamic favoring the interpersonal relationship between teachers and students.","PeriodicalId":370839,"journal":{"name":"Anais do I Workshop on Advanced Virtual Environments and Education (WAVE 2018)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130392823","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}
A. A. Sônego, Jefferson P. dos Santos, Eliane Pozzebon, Rafael Canal
Mazk is an intelligent tutor that aims to assist the student, with the support of the computer and using techniques of Artificial Intelligence, in the teaching-learning process. Currently, all content made available to Mazk is updated manually by the human tutor. Considering the increasing amount of educational materials available, this process often becomes tiring and time-consuming. In order to optimize this task, this paper demonstrates a proposal of automatic generation of content for Mazk.
{"title":"An Automatic Content Generator for Mazk","authors":"A. A. Sônego, Jefferson P. dos Santos, Eliane Pozzebon, Rafael Canal","doi":"10.5753/WAVE.2018.7","DOIUrl":"https://doi.org/10.5753/WAVE.2018.7","url":null,"abstract":"Mazk is an intelligent tutor that aims to assist the student, with the support of the computer and using techniques of Artificial Intelligence, in the teaching-learning process. Currently, all content made available to Mazk is updated manually by the human tutor. Considering the increasing amount of educational materials available, this process often becomes tiring and time-consuming. In order to optimize this task, this paper demonstrates a proposal of automatic generation of content for Mazk.","PeriodicalId":370839,"journal":{"name":"Anais do I Workshop on Advanced Virtual Environments and Education (WAVE 2018)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121736913","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}
Considering the context of Computer Science, Chatbots are computer programs that, through techniques of Artificial Intelligence, aim to simulate human behavior when at the moment of a dialogue through text messages. Despite being a relatively new area of study, the application of this concept has increased considerably, whether in academic settings or in commercial applications, such as situations involving assistants to clarify doubts on websites of manufacturers of electronic products or even in services such as telephony. Thus, this article proposes an analysis of the state of the art of research through a quantitative bibliometric analysis, supported by the Scopus database.
{"title":"Chatbots: An Analysis of the State of Art of Literature","authors":"A. Bernardini, A. A. Sônego, Eliane Pozzebon","doi":"10.5753/wave.2018.1","DOIUrl":"https://doi.org/10.5753/wave.2018.1","url":null,"abstract":"Considering the context of Computer Science, Chatbots are computer programs that, through techniques of Artificial Intelligence, aim to simulate human behavior when at the moment of a dialogue through text messages. Despite being a relatively new area of study, the application of this concept has increased considerably, whether in academic settings or in commercial applications, such as situations involving assistants to clarify doubts on websites of manufacturers of electronic products or even in services such as telephony. Thus, this article proposes an analysis of the state of the art of research through a quantitative bibliometric analysis, supported by the Scopus database.","PeriodicalId":370839,"journal":{"name":"Anais do I Workshop on Advanced Virtual Environments and Education (WAVE 2018)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127584506","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}
Beatriz Fernández Reuter, M. Álvarez, Gabriela González, Elena B. Durán
Ubiquitous learning environments allow to learn anywhere at anytime, enabling people to have better learning experiences in their daily lives. In order to detect learning problems and offer help, a tutor needs to observe the actions of students and to evaluate them, which is not easy to accomplish in a ubiquitous environment. Therefore, this work presents a multi-agent model to generate recommendations of tutors in the topic that a student needs help with, based on the experiences of these tutors with other students, their availability and their physical proximity. The proposed model allows to monitor the student interaction within the learning environment, detect learning problems and offer personalized help.
{"title":"Multi-agent system model for tutor recommendation in ubiquitous learning environments","authors":"Beatriz Fernández Reuter, M. Álvarez, Gabriela González, Elena B. Durán","doi":"10.5753/WAVE.2018.10","DOIUrl":"https://doi.org/10.5753/WAVE.2018.10","url":null,"abstract":"Ubiquitous learning environments allow to learn anywhere at anytime, enabling people to have better learning experiences in their daily lives. In order to detect learning problems and offer help, a tutor needs to observe the actions of students and to evaluate them, which is not easy to accomplish in a ubiquitous environment. Therefore, this work presents a multi-agent model to generate recommendations of tutors in the topic that a student needs help with, based on the experiences of these tutors with other students, their availability and their physical proximity. The proposed model allows to monitor the student interaction within the learning environment, detect learning problems and offer personalized help.","PeriodicalId":370839,"journal":{"name":"Anais do I Workshop on Advanced Virtual Environments and Education (WAVE 2018)","volume":"8 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127898154","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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