Khalid Bahani, Hamza Ali-Ou-Salah, Mohammed Moujabbir, B. Oukarfi, M. Ramdani
The designs of solar energy systems depend mainly on the solar radiation that reaches the earth's surface, as it is difficult to determine the amount of solar radiation precisely due to several climatic, geographical and temporal factors. Therefore, forecasting of solar radiation is necessary before using solar energy systems. In this paper, the researchers present an accuracy MAMDANI fuzzy inference system for solar radiation prediction with meteorological data. This system is based with a two-stage method for Fuzzy Rules Learning through Clustering (FRLC). In the first stage, the subtractive clustering is used to extract the fuzzy rules, the second stage is a linguistic approximation and a refinement of the learned solutions with linguistic hedges. FRLC is compared to multilayer feed-forward neural network and support vector regression. The results of the experiments show the efficacy of linguistic fuzzy rules in the forecasting of solar radiation. In parallel with the prediction, the model provides a good balance between interpretability and accuracy.
{"title":"A Novel Interpretable Model for Solar Radiation Prediction based on Adaptive Fuzzy Clustering and Linguistic Hedges","authors":"Khalid Bahani, Hamza Ali-Ou-Salah, Mohammed Moujabbir, B. Oukarfi, M. Ramdani","doi":"10.1145/3419604.3419807","DOIUrl":"https://doi.org/10.1145/3419604.3419807","url":null,"abstract":"The designs of solar energy systems depend mainly on the solar radiation that reaches the earth's surface, as it is difficult to determine the amount of solar radiation precisely due to several climatic, geographical and temporal factors. Therefore, forecasting of solar radiation is necessary before using solar energy systems. In this paper, the researchers present an accuracy MAMDANI fuzzy inference system for solar radiation prediction with meteorological data. This system is based with a two-stage method for Fuzzy Rules Learning through Clustering (FRLC). In the first stage, the subtractive clustering is used to extract the fuzzy rules, the second stage is a linguistic approximation and a refinement of the learned solutions with linguistic hedges. FRLC is compared to multilayer feed-forward neural network and support vector regression. The results of the experiments show the efficacy of linguistic fuzzy rules in the forecasting of solar radiation. In parallel with the prediction, the model provides a good balance between interpretability and accuracy.","PeriodicalId":250715,"journal":{"name":"Proceedings of the 13th International Conference on Intelligent Systems: Theories and Applications","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121887934","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}
Aicha bembarka, A. Tribak, Hamza Nachouane, L. Setti
A tunable monopole antenna in the European Union (EU) norms for the Sub-6 GHz band in picocell base stations application is presented in this paper. The antenna has a simple design with a bandpass filter incorporated in its ground plane. The frequency tunability capability of the antenna is achieved by varying varactor diodes capacitance, which leads to changing the effective length of the bandpass filter slots, as a result the operating frequency continuously tuned from 3.4 to 3.8 GHz. The designed antenna is modeled in CST, then verified using HFSS and ADS. The simulated antenna performance is analyzed in detail including the return loss, radiation patterns, and gain. The obtained results show that the developed antenna is very suitable for picocell base stations, especially for the 5G/Sub-6 GHz band.
本文提出了一种符合欧盟标准的可调谐单极天线，用于piccell基站的sub - 6ghz频段。该天线具有简单的设计，在其地平面上集成了带通滤波器。该天线的频率可调谐能力是通过改变变容二极管的电容来实现的，从而改变带通滤波器槽的有效长度，从而使工作频率在3.4 GHz到3.8 GHz之间连续调谐。设计的天线在CST中建模，然后使用HFSS和ADS进行验证，详细分析了模拟天线的回波损耗、辐射方向图和增益等性能。实验结果表明，所研制的天线非常适合于皮蜂窝基站，特别是5G/ sub - 6ghz频段。
{"title":"Tunable Monopole Antenna in the Sub-6 GHz Spectrum for Picocell Base Stations","authors":"Aicha bembarka, A. Tribak, Hamza Nachouane, L. Setti","doi":"10.1145/3419604.3419756","DOIUrl":"https://doi.org/10.1145/3419604.3419756","url":null,"abstract":"A tunable monopole antenna in the European Union (EU) norms for the Sub-6 GHz band in picocell base stations application is presented in this paper. The antenna has a simple design with a bandpass filter incorporated in its ground plane. The frequency tunability capability of the antenna is achieved by varying varactor diodes capacitance, which leads to changing the effective length of the bandpass filter slots, as a result the operating frequency continuously tuned from 3.4 to 3.8 GHz. The designed antenna is modeled in CST, then verified using HFSS and ADS. The simulated antenna performance is analyzed in detail including the return loss, radiation patterns, and gain. The obtained results show that the developed antenna is very suitable for picocell base stations, especially for the 5G/Sub-6 GHz band.","PeriodicalId":250715,"journal":{"name":"Proceedings of the 13th International Conference on Intelligent Systems: Theories and Applications","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123108915","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}
The management of global and distributed software projects is a very difficult task further complicated by the emergence of new challenges inherent in stakeholder dispersion. Software cost estimation plays a central role to face challenges in the context of Global Software Development (GSD). The objective of this study is to identify software cost attributes related to GSD context to present an integrative framework encompassing these attributes. Thirty cost attributes were identified using a Systematic Literature Review (SLR) and later compiled into a framework inspired by the Software Engineering Institute (SEI) taxonomy.
{"title":"Identifying Software Cost Attributes of Software Project Management in Global Software Development: An Integrative Framework","authors":"Manal El Bajta, A. Idri","doi":"10.1145/3419604.3419780","DOIUrl":"https://doi.org/10.1145/3419604.3419780","url":null,"abstract":"The management of global and distributed software projects is a very difficult task further complicated by the emergence of new challenges inherent in stakeholder dispersion. Software cost estimation plays a central role to face challenges in the context of Global Software Development (GSD). The objective of this study is to identify software cost attributes related to GSD context to present an integrative framework encompassing these attributes. Thirty cost attributes were identified using a Systematic Literature Review (SLR) and later compiled into a framework inspired by the Software Engineering Institute (SEI) taxonomy.","PeriodicalId":250715,"journal":{"name":"Proceedings of the 13th International Conference on Intelligent Systems: Theories and Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129240063","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}
Nowadays, Multi Criteria Decision Making (MCDM) methods are becoming increasingly used in solving supply chain management problems due to the conflicting criteria involved in this area. In fact, Multi Criteria Decision Making methods help Decision Makers (DMs) deal with the evaluation of multiple alternatives with taking into account their preferences expressed as numerous criteria. Controlling stocks in multi-echelon inventory systems presents many challenges due to the complexity of the supply chains and the inter-dependencies between their nodes. In particular, choosing a multi-echelon inventory policy to send a batch from an installation to another may depend to the inventory status at all sites, which make this decision difficult to take. Most of the time, the Decision Maker seems to be looking for fitting the decision problem to the MCDM method framework and not adjusting the method to the problem situation. We aim in this paper to guide DMs choose the appropriate MCDM method that will aid them select the best multi-echelon inventory policies to adopt for their supply chains. A comparison of different MCDM methods with the use of a set of evaluation criteria will be established in this research work. We intend to provide a framework for comparing multiple MCDM methods for the multi-echelon inventory system selection problem.
{"title":"Comparison of MCDM Methods for Multi-echelon Inventory System Selection Problem","authors":"Nouçaiba Sbai, L. Benabbou, A. Berrado","doi":"10.1145/3419604.3419783","DOIUrl":"https://doi.org/10.1145/3419604.3419783","url":null,"abstract":"Nowadays, Multi Criteria Decision Making (MCDM) methods are becoming increasingly used in solving supply chain management problems due to the conflicting criteria involved in this area. In fact, Multi Criteria Decision Making methods help Decision Makers (DMs) deal with the evaluation of multiple alternatives with taking into account their preferences expressed as numerous criteria. Controlling stocks in multi-echelon inventory systems presents many challenges due to the complexity of the supply chains and the inter-dependencies between their nodes. In particular, choosing a multi-echelon inventory policy to send a batch from an installation to another may depend to the inventory status at all sites, which make this decision difficult to take. Most of the time, the Decision Maker seems to be looking for fitting the decision problem to the MCDM method framework and not adjusting the method to the problem situation. We aim in this paper to guide DMs choose the appropriate MCDM method that will aid them select the best multi-echelon inventory policies to adopt for their supply chains. A comparison of different MCDM methods with the use of a set of evaluation criteria will be established in this research work. We intend to provide a framework for comparing multiple MCDM methods for the multi-echelon inventory system selection problem.","PeriodicalId":250715,"journal":{"name":"Proceedings of the 13th International Conference on Intelligent Systems: Theories and Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131898381","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}
Recently, Natural Language Processing has shown significant development, especially in text mining and analysis. An important task in this area is learning vector-space representations of text. Since various machine learning algorithms require representing their inputs in a vector format. In this paper, we highlight the most important language representation learning models used in the literature, ranging from the free contextual approaches like word2vec and Glove until the appearance of recent modern contextualized approaches such as ELMo, BERT, and XLNet. We show and discuss their main architectures and their main strengths and limits.
{"title":"Language representation learning models: A comparative study","authors":"Sanae Achsas, E. Nfaoui","doi":"10.1145/3419604.3419773","DOIUrl":"https://doi.org/10.1145/3419604.3419773","url":null,"abstract":"Recently, Natural Language Processing has shown significant development, especially in text mining and analysis. An important task in this area is learning vector-space representations of text. Since various machine learning algorithms require representing their inputs in a vector format. In this paper, we highlight the most important language representation learning models used in the literature, ranging from the free contextual approaches like word2vec and Glove until the appearance of recent modern contextualized approaches such as ELMo, BERT, and XLNet. We show and discuss their main architectures and their main strengths and limits.","PeriodicalId":250715,"journal":{"name":"Proceedings of the 13th International Conference on Intelligent Systems: Theories and Applications","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132162502","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}
Sentiment analysis has aroused the interest of many studies in recent years. Regarding to its high importance in taking and extracting decisional information, the light of research is still shed on it. The first step of a sentiment analysis system is the construction of the basic knowledge, namely the linguistic resources. The classical methods of lexicon building are manual, semi-automatic, or automatic. Both the manual and semi-automatic methods need a manual check that is time and effort consuming whereas the automatic approach neglects word semantic. Herein, we intend to automate the lexicon extraction method as well as giving accurate polarity. In order to perform this task and achieve satisfying results, we extract a Bag-of-Words and we then apply many filters on it to keep only clean and sentimental terms. This paper also explores the effectiveness of a supervised approach based on the Bag-of-Words model in defining sentiment polarity of the processed reviews in order to shed the light on its usefulness.
{"title":"Construction of an accurate automatic lexicon for Arabic sentiment analysis","authors":"Ibtissam Touahri, A. Mazroui","doi":"10.1145/3419604.3419627","DOIUrl":"https://doi.org/10.1145/3419604.3419627","url":null,"abstract":"Sentiment analysis has aroused the interest of many studies in recent years. Regarding to its high importance in taking and extracting decisional information, the light of research is still shed on it. The first step of a sentiment analysis system is the construction of the basic knowledge, namely the linguistic resources. The classical methods of lexicon building are manual, semi-automatic, or automatic. Both the manual and semi-automatic methods need a manual check that is time and effort consuming whereas the automatic approach neglects word semantic. Herein, we intend to automate the lexicon extraction method as well as giving accurate polarity. In order to perform this task and achieve satisfying results, we extract a Bag-of-Words and we then apply many filters on it to keep only clean and sentimental terms. This paper also explores the effectiveness of a supervised approach based on the Bag-of-Words model in defining sentiment polarity of the processed reviews in order to shed the light on its usefulness.","PeriodicalId":250715,"journal":{"name":"Proceedings of the 13th International Conference on Intelligent Systems: Theories and Applications","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132594642","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}
Hamid Slimani, Oussama Hamal, N. E. Faddouli, S. Bennani, Naila Amrous
The accompaniment and the follow-up of the learners in an online training aim at helping the learner to carry out his or her training and to guarantee an adapted and quality learning. During a learning process, personalized search and recommendation of digital educational resources form aspects of this accompaniment. This article presents a search engine and a hybrid recommendation of digital educational resources. This engine allows for filtering and personalized search by providing adapted resources to the users' profiles on the one hand; on the other hand, to making a combination of the collaborative, the content-based and the semantic filtering to propose other additional resources. The semantic filtering is based on the exploitation of SPARQL queries from the system that we propose. They are executed on a remote server containing reusable vocabularies and formalized according to the linked data principles and technologies, such as the Lod Cloud. The result obtained is a set of linked terms to the keywords specified in the search query. These terms are then used to extend the search. We used a search test-set by keywords entered via a form and then we manually analyzed the linked terms obtained and the documents returned. The results obtained by our approach are satisfactory.
{"title":"The hybrid recommendation of digital educational resources in a distance learning environment: the case of MOOC","authors":"Hamid Slimani, Oussama Hamal, N. E. Faddouli, S. Bennani, Naila Amrous","doi":"10.1145/3419604.3419621","DOIUrl":"https://doi.org/10.1145/3419604.3419621","url":null,"abstract":"The accompaniment and the follow-up of the learners in an online training aim at helping the learner to carry out his or her training and to guarantee an adapted and quality learning. During a learning process, personalized search and recommendation of digital educational resources form aspects of this accompaniment. This article presents a search engine and a hybrid recommendation of digital educational resources. This engine allows for filtering and personalized search by providing adapted resources to the users' profiles on the one hand; on the other hand, to making a combination of the collaborative, the content-based and the semantic filtering to propose other additional resources. The semantic filtering is based on the exploitation of SPARQL queries from the system that we propose. They are executed on a remote server containing reusable vocabularies and formalized according to the linked data principles and technologies, such as the Lod Cloud. The result obtained is a set of linked terms to the keywords specified in the search query. These terms are then used to extend the search. We used a search test-set by keywords entered via a form and then we manually analyzed the linked terms obtained and the documents returned. The results obtained by our approach are satisfactory.","PeriodicalId":250715,"journal":{"name":"Proceedings of the 13th International Conference on Intelligent Systems: Theories and Applications","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129541937","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}
Lahbib Ajallouda, F. Z. Fagroud, A. Zellou, E. Benlahmar
Today, we are witnessing rapid growth in Web resources that allow Internet users to express and share their ideas, opinions, and judgments on a variety of issues. Several classification approaches have been proposed to classify textual data. But all these approaches require us to label the clusters we want to obtain. Which, in reality, is not available because we do not know in advance the information that can be proposed through these opinions. To overcome this constraint, clustering approaches such as K-mean, HAC or FCM can be exploited. In this paper, we present and compare these approaches. And to show the importance of exploiting clustering algorithms, to classify and analyze textual data in Arabic. By applying them to a real case that has created a great debate in Morocco, which is the case of teachers contracting with academies.
{"title":"K-means, HAC and FCM Which Clustering Approach for Arabic Text?","authors":"Lahbib Ajallouda, F. Z. Fagroud, A. Zellou, E. Benlahmar","doi":"10.1145/3419604.3419779","DOIUrl":"https://doi.org/10.1145/3419604.3419779","url":null,"abstract":"Today, we are witnessing rapid growth in Web resources that allow Internet users to express and share their ideas, opinions, and judgments on a variety of issues. Several classification approaches have been proposed to classify textual data. But all these approaches require us to label the clusters we want to obtain. Which, in reality, is not available because we do not know in advance the information that can be proposed through these opinions. To overcome this constraint, clustering approaches such as K-mean, HAC or FCM can be exploited. In this paper, we present and compare these approaches. And to show the importance of exploiting clustering algorithms, to classify and analyze textual data in Arabic. By applying them to a real case that has created a great debate in Morocco, which is the case of teachers contracting with academies.","PeriodicalId":250715,"journal":{"name":"Proceedings of the 13th International Conference on Intelligent Systems: Theories and Applications","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125120228","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}
Open Source Software (OSS) is gaining interests of software engineering community as well as practitioners from industry with the growth of the internet. Studies in estimating maintenance effort (MEE) of such software product have been published in the literature in order to provide better estimation. The aim of this study is to provide a review of studies related to maintenance effort estimation for open source software (OSSMEE). To this end, a set of 60 primary empirical studies are selected from six electronic databases and a discussion is provided according to eight research questions (RQs) related to: publication year, publication source, datasets (OSS projects), metrics (independent variables), techniques, maintenance effort (dependent variable), validation methods, and accuracy criteria used in the empirical validation. This study has found that popular OSS projects have been used, Linear Regression, Naïve Bayes and k Nearest Neighbors were frequently used, and bug resolution was the most used regarding the estimation of maintenance effort for the future releases. A set of gaps are identified and recommendations for researchers are also provided.
{"title":"A Review of Open Source Software Maintenance Effort Estimation","authors":"Chaymae Miloudi, Laila Cheikhi, A. Idri","doi":"10.1145/3419604.3419809","DOIUrl":"https://doi.org/10.1145/3419604.3419809","url":null,"abstract":"Open Source Software (OSS) is gaining interests of software engineering community as well as practitioners from industry with the growth of the internet. Studies in estimating maintenance effort (MEE) of such software product have been published in the literature in order to provide better estimation. The aim of this study is to provide a review of studies related to maintenance effort estimation for open source software (OSSMEE). To this end, a set of 60 primary empirical studies are selected from six electronic databases and a discussion is provided according to eight research questions (RQs) related to: publication year, publication source, datasets (OSS projects), metrics (independent variables), techniques, maintenance effort (dependent variable), validation methods, and accuracy criteria used in the empirical validation. This study has found that popular OSS projects have been used, Linear Regression, Naïve Bayes and k Nearest Neighbors were frequently used, and bug resolution was the most used regarding the estimation of maintenance effort for the future releases. A set of gaps are identified and recommendations for researchers are also provided.","PeriodicalId":250715,"journal":{"name":"Proceedings of the 13th International Conference on Intelligent Systems: Theories and Applications","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122510953","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}
Mohammed Amraouy, Abdellah Bennane, M. Himmi, M. Bellafkih, Aziza Benomar
Learning platforms provide new learning opportunities. They are rich on techno-pedagogical tools, enabling learners to collaborate, interact and share resources easily and freely between them, based on their needs and preferences. But the limit of these platforms is that they do not take into consideration the learners' motivation. Detecting and understanding the learner motivational state requires a rigorous analysis of the interaction traces between the learner and his learning environment. This paper aims to propose and verify some indicators to facilitate the analysis of digital traces, in view to detect the learner's motivational state. Being able to understand the motivational state could help stakeholders (tutor, teacher, pedagogical designer, etc.) to facilitate the learning process, by creating personalized courses.
{"title":"Detecting the Learner's Motivational State in Online Learning Situation Towards Adaptive Learning Environments","authors":"Mohammed Amraouy, Abdellah Bennane, M. Himmi, M. Bellafkih, Aziza Benomar","doi":"10.1145/3419604.3419760","DOIUrl":"https://doi.org/10.1145/3419604.3419760","url":null,"abstract":"Learning platforms provide new learning opportunities. They are rich on techno-pedagogical tools, enabling learners to collaborate, interact and share resources easily and freely between them, based on their needs and preferences. But the limit of these platforms is that they do not take into consideration the learners' motivation. Detecting and understanding the learner motivational state requires a rigorous analysis of the interaction traces between the learner and his learning environment. This paper aims to propose and verify some indicators to facilitate the analysis of digital traces, in view to detect the learner's motivational state. Being able to understand the motivational state could help stakeholders (tutor, teacher, pedagogical designer, etc.) to facilitate the learning process, by creating personalized courses.","PeriodicalId":250715,"journal":{"name":"Proceedings of the 13th International Conference on Intelligent Systems: Theories and Applications","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124090652","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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