Pub Date : 2017-10-05DOI: 10.1109/COGINFOCOM.2017.8268268
Igor Mijić, Marko Šarlija, D. Petrinović
Cognitive load classification has seen a boost in popularity lately among the speech analysis community. A number of handmade feature based methods and purely machine learning based methods were presented in the last few years, all trained on a small number of established datasets. This paper presents results of several machine learning methods used on an original dataset of voice samples from a preliminary pilot study into effects of cognitive load. Basic arithmetic problems were presented to the participants with instructions to answer them verbally. Acoustic voice features were extracted from the recorded utterances and modelled using methods like Support Vector Machines and Neural Networks. The accuracies of classification are presented over several conditions for a binary classification task (low cognitive load vs. high cognitive load). The viability of the basic arithmetic task as a dataset for cognitive load classification is discussed. Lessons learned during the analysis are also discussed and present a basis for a stronger experiment design using basic arithmetic tasks in the future.
{"title":"Classification of cognitive load using voice features: A preliminary investigation","authors":"Igor Mijić, Marko Šarlija, D. Petrinović","doi":"10.1109/COGINFOCOM.2017.8268268","DOIUrl":"https://doi.org/10.1109/COGINFOCOM.2017.8268268","url":null,"abstract":"Cognitive load classification has seen a boost in popularity lately among the speech analysis community. A number of handmade feature based methods and purely machine learning based methods were presented in the last few years, all trained on a small number of established datasets. This paper presents results of several machine learning methods used on an original dataset of voice samples from a preliminary pilot study into effects of cognitive load. Basic arithmetic problems were presented to the participants with instructions to answer them verbally. Acoustic voice features were extracted from the recorded utterances and modelled using methods like Support Vector Machines and Neural Networks. The accuracies of classification are presented over several conditions for a binary classification task (low cognitive load vs. high cognitive load). The viability of the basic arithmetic task as a dataset for cognitive load classification is discussed. Lessons learned during the analysis are also discussed and present a basis for a stronger experiment design using basic arithmetic tasks in the future.","PeriodicalId":212559,"journal":{"name":"2017 8th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134021699","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 : 2017-09-11DOI: 10.1109/COGINFOCOM.2017.8268211
A. Minzoni, Eléonore Mounoud, V. Niskanen
Temporal issues within modeling organizational systems are examined generally and with fuzzy cognitive maps. These maps give the opportunity to consider temporal factors when studying organizational models. The knowledge we gain about the system is useful when the aim is not to optimize time intervals in well-known and instrumented contexts, but also to discover the behavior of the system while different temporal factors are implemented by the management. We will present an adapted resolution for including these factors as key elements in organizational models with fuzzy cognitive map examples for middle and back office application.
{"title":"A case study on time-interval fuzzy cognitive maps in a complex organization","authors":"A. Minzoni, Eléonore Mounoud, V. Niskanen","doi":"10.1109/COGINFOCOM.2017.8268211","DOIUrl":"https://doi.org/10.1109/COGINFOCOM.2017.8268211","url":null,"abstract":"Temporal issues within modeling organizational systems are examined generally and with fuzzy cognitive maps. These maps give the opportunity to consider temporal factors when studying organizational models. The knowledge we gain about the system is useful when the aim is not to optimize time intervals in well-known and instrumented contexts, but also to discover the behavior of the system while different temporal factors are implemented by the management. We will present an adapted resolution for including these factors as key elements in organizational models with fuzzy cognitive map examples for middle and back office application.","PeriodicalId":212559,"journal":{"name":"2017 8th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","volume":"180 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":"121311715","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 : 2017-09-01DOI: 10.1109/COGINFOCOM.2017.8268235
Ingo Schmitt, Ronald Römer, G. Wirsching, M. Wolff
The design of a cognitive agent requires a behaviour control of actions and observations for exploring an unknown world. Typically, observations are influenced by a certain degree of randomness which can be modeled as probabilities. In our scenario we let a mouse explore a maze with walls, boundaries and a random portal. All observations are stored and managed in a so-called inner stage. As a decision problem, we want to be able to plan actions and to predict their resulting observations. In our approach we develop models of the inner stage based on concepts of probabilistic databases and their mapping to denormalized density matrices which are known from quantum mechanics. Density matrices provide a compact representation of the powerful but unwieldy many-world-semantics. We show that density matrices make the many-world-semantics feasible and are well suited to model the inner stage. We propose algorithms for learning and predicting action results.
{"title":"Denormalized quantum density operators for encoding semantic uncertainty in cognitive agents","authors":"Ingo Schmitt, Ronald Römer, G. Wirsching, M. Wolff","doi":"10.1109/COGINFOCOM.2017.8268235","DOIUrl":"https://doi.org/10.1109/COGINFOCOM.2017.8268235","url":null,"abstract":"The design of a cognitive agent requires a behaviour control of actions and observations for exploring an unknown world. Typically, observations are influenced by a certain degree of randomness which can be modeled as probabilities. In our scenario we let a mouse explore a maze with walls, boundaries and a random portal. All observations are stored and managed in a so-called inner stage. As a decision problem, we want to be able to plan actions and to predict their resulting observations. In our approach we develop models of the inner stage based on concepts of probabilistic databases and their mapping to denormalized density matrices which are known from quantum mechanics. Density matrices provide a compact representation of the powerful but unwieldy many-world-semantics. We show that density matrices make the many-world-semantics feasible and are well suited to model the inner stage. We propose algorithms for learning and predicting action results.","PeriodicalId":212559,"journal":{"name":"2017 8th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","volume":"141 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115732427","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 : 2017-09-01DOI: 10.1109/coginfocom.2017.8268283
Tibor Pécz
Wetlands across Europe suffered the greatest damages of all habitats. The state of surface waters is determined by their ecological and chemical conditions. The ecological state is defined by the physico-chemical, hydromorphological and biological characteristics of the water, while the chemical state depends on the measured concentration of contaminants. The flora and fauna of stagnant water bodies and rivers respond sensitively and specifically to such impacts [1]. The Water Framework Directive (WFD) of the European Union (2000/60/EK) aims to provide solutions for this situation. In Hungary, the National Water Catchment Management Plans (NWCMPs) mean the tools for the implementation of the WFD. The pilot project was the assessment of Lake Riha which is a protected oxbow lake on the Mohács Island.
{"title":"Assessment of wetlands by the methods of waterchemistry and bioindication","authors":"Tibor Pécz","doi":"10.1109/coginfocom.2017.8268283","DOIUrl":"https://doi.org/10.1109/coginfocom.2017.8268283","url":null,"abstract":"Wetlands across Europe suffered the greatest damages of all habitats. The state of surface waters is determined by their ecological and chemical conditions. The ecological state is defined by the physico-chemical, hydromorphological and biological characteristics of the water, while the chemical state depends on the measured concentration of contaminants. The flora and fauna of stagnant water bodies and rivers respond sensitively and specifically to such impacts [1]. The Water Framework Directive (WFD) of the European Union (2000/60/EK) aims to provide solutions for this situation. In Hungary, the National Water Catchment Management Plans (NWCMPs) mean the tools for the implementation of the WFD. The pilot project was the assessment of Lake Riha which is a protected oxbow lake on the Mohács Island.","PeriodicalId":212559,"journal":{"name":"2017 8th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115740103","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 : 2017-09-01DOI: 10.1109/COGINFOCOM.2017.8268284
K. Chmielewska, Damian Matuszak
In this paper, we investigate some benefits of coaching in education and mathability. Namely, we present how useful coaching can be to modify students attitude towards mathematical, physical, engineering problem solving. Moreover, we emphasize how applying high mathability level devices can serve as a tool for building inner resources of knowledge what is necessary to start a coaching process. An instructive proposal of education and self-education with high level mathability devices is introduced as well.
{"title":"Mathability and coaching","authors":"K. Chmielewska, Damian Matuszak","doi":"10.1109/COGINFOCOM.2017.8268284","DOIUrl":"https://doi.org/10.1109/COGINFOCOM.2017.8268284","url":null,"abstract":"In this paper, we investigate some benefits of coaching in education and mathability. Namely, we present how useful coaching can be to modify students attitude towards mathematical, physical, engineering problem solving. Moreover, we emphasize how applying high mathability level devices can serve as a tool for building inner resources of knowledge what is necessary to start a coaching process. An instructive proposal of education and self-education with high level mathability devices is introduced as well.","PeriodicalId":212559,"journal":{"name":"2017 8th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124287921","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 : 2017-09-01DOI: 10.1109/COGINFOCOM.2017.8268242
M. Csernoch, Erzsébet Dani
In knowledge-based societies new generations are flooded more and more intensely with narratives of inherited and newly generated knowledge, which is simply accessible for these generations, or to be acquired by them. Informatics and computer sciences are continuously developing new information-storage devices and a multitude of software more rapidly than ever. However, effective information search and processing require an information literacy which the new generations characteristically, and more and more demonstrably, do not have. National and international empirical research proves that the algorithmic thinking of the younger generations, which is indispensable for the world of informatics, is underdeveloped when it comes to the effective and productive use of digital tools. Moreover, the phenomenon of hyper attention invades the everyday life and the learning habits of the younger generation to a greater and greater degree. The essence of the HY-DE model is to aid the students' learning process with the help of the teacher's purposeful control of the phases of attention (hyper, mixed and deep attention). One aim of the present study is to introduce a new application of the HY-DE model, entitled Data-Structure Validator HY-DE model (DaSVa HY-DE). In the introductory phase, the DaSVa model focuses on how the HY-DE attention-divisions manifest themselves in webpage-search as well as in the information retrieval that it yields, and what the roles of the hyper, mixed, and deep attention modes are in the development of computational thinking and algorithmic skills. In the full hyper attention status the search for specified contents is carried out, focusing on webpages which consist of data organized in table or table-like structures. The automated and semi-automated conversion of the webpages however requires the decreasing of hyper attention leading to deep or mixed attention. The final result of this conversion process is/are well-structured table(s) suitable for automated data retrieval in spreadsheets, database management, and programming. The application of the original HY-DE model would lead us to its modification. In the advanced phase of the DaSVa HY-DE model the students can also experience how the webpages are designed and structured, how they support information and data retrieval, how successful the algorithmic based retrieval can be, and how the approach would lead students to the application of the theory of well-structured webpage design. With this model, from the hyper attention data collection status, through a deep and/or mixed attention algorithm building and data analyzing process, students would reach a higher-level hyper attention, the developer status.
{"title":"Data-structure validator: An application of the HY-DE model","authors":"M. Csernoch, Erzsébet Dani","doi":"10.1109/COGINFOCOM.2017.8268242","DOIUrl":"https://doi.org/10.1109/COGINFOCOM.2017.8268242","url":null,"abstract":"In knowledge-based societies new generations are flooded more and more intensely with narratives of inherited and newly generated knowledge, which is simply accessible for these generations, or to be acquired by them. Informatics and computer sciences are continuously developing new information-storage devices and a multitude of software more rapidly than ever. However, effective information search and processing require an information literacy which the new generations characteristically, and more and more demonstrably, do not have. National and international empirical research proves that the algorithmic thinking of the younger generations, which is indispensable for the world of informatics, is underdeveloped when it comes to the effective and productive use of digital tools. Moreover, the phenomenon of hyper attention invades the everyday life and the learning habits of the younger generation to a greater and greater degree. The essence of the HY-DE model is to aid the students' learning process with the help of the teacher's purposeful control of the phases of attention (hyper, mixed and deep attention). One aim of the present study is to introduce a new application of the HY-DE model, entitled Data-Structure Validator HY-DE model (DaSVa HY-DE). In the introductory phase, the DaSVa model focuses on how the HY-DE attention-divisions manifest themselves in webpage-search as well as in the information retrieval that it yields, and what the roles of the hyper, mixed, and deep attention modes are in the development of computational thinking and algorithmic skills. In the full hyper attention status the search for specified contents is carried out, focusing on webpages which consist of data organized in table or table-like structures. The automated and semi-automated conversion of the webpages however requires the decreasing of hyper attention leading to deep or mixed attention. The final result of this conversion process is/are well-structured table(s) suitable for automated data retrieval in spreadsheets, database management, and programming. The application of the original HY-DE model would lead us to its modification. In the advanced phase of the DaSVa HY-DE model the students can also experience how the webpages are designed and structured, how they support information and data retrieval, how successful the algorithmic based retrieval can be, and how the approach would lead students to the application of the theory of well-structured webpage design. With this model, from the hyper attention data collection status, through a deep and/or mixed attention algorithm building and data analyzing process, students would reach a higher-level hyper attention, the developer status.","PeriodicalId":212559,"journal":{"name":"2017 8th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126060946","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 : 2017-09-01DOI: 10.1109/COGINFOCOM.2017.8268270
Sepideh Sadeghi, Matthias Scheutz
Word learning in ambiguous contexts is a challenging task which is intertwined with the process of understanding the referential intentions of the speaker. It has been suggested that infant word learning occurs across learning situations and is bootstrapped by syntactic regularities such as word order. Simulation results from ideal learners suggest that it is possible to jointly acquire word order and meanings and that learning is improved as each language capability bootstraps the other. We study the utility of joint acquisition of simple versions of word order and word meaning in early stages of acquisition in a memory-limited incremental model. Comparing learning results in the presence and absence of joint acquisition of word order, word order regularities can quickly converge on real world statistics even using small datasets, relying on imperfect learned interpretations of word meanings, and even given wrong prior biases. Improvement in word learning results in the presence of joint acquisition of word order, however, were limited and only pronounced in the presence of high referential ambiguity and delayed syntactic bootstrapping where word order acquisition was slowed down through the use of priors.
{"title":"Joint acquisition of word order and word referent in a memory-limited and incremental learner","authors":"Sepideh Sadeghi, Matthias Scheutz","doi":"10.1109/COGINFOCOM.2017.8268270","DOIUrl":"https://doi.org/10.1109/COGINFOCOM.2017.8268270","url":null,"abstract":"Word learning in ambiguous contexts is a challenging task which is intertwined with the process of understanding the referential intentions of the speaker. It has been suggested that infant word learning occurs across learning situations and is bootstrapped by syntactic regularities such as word order. Simulation results from ideal learners suggest that it is possible to jointly acquire word order and meanings and that learning is improved as each language capability bootstraps the other. We study the utility of joint acquisition of simple versions of word order and word meaning in early stages of acquisition in a memory-limited incremental model. Comparing learning results in the presence and absence of joint acquisition of word order, word order regularities can quickly converge on real world statistics even using small datasets, relying on imperfect learned interpretations of word meanings, and even given wrong prior biases. Improvement in word learning results in the presence of joint acquisition of word order, however, were limited and only pronounced in the presence of high referential ambiguity and delayed syntactic bootstrapping where word order acquisition was slowed down through the use of priors.","PeriodicalId":212559,"journal":{"name":"2017 8th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115354336","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 : 2017-09-01DOI: 10.1109/COGINFOCOM.2017.8268258
György Papp, I. Papp, Roland Kunkli
Finding connections between information or inside tabular data is a challenging task. Therefore, we want to demonstrate the actual state of our three-dimensional visualization tool which helps to better understand the data behind tables in an efficient way.
{"title":"Three-dimensional connection visualization based on tabular data","authors":"György Papp, I. Papp, Roland Kunkli","doi":"10.1109/COGINFOCOM.2017.8268258","DOIUrl":"https://doi.org/10.1109/COGINFOCOM.2017.8268258","url":null,"abstract":"Finding connections between information or inside tabular data is a challenging task. Therefore, we want to demonstrate the actual state of our three-dimensional visualization tool which helps to better understand the data behind tables in an efficient way.","PeriodicalId":212559,"journal":{"name":"2017 8th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123610820","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 : 2017-09-01DOI: 10.1109/COGINFOCOM.2017.8268238
Dávid Sik, K. Csorba, P. Ekler
We introduce an implementation of a GIS (Geographic Information System) research and development subsystem in the CV4SensorHUB (Computer Vision for SensorHUB) framework. The main concept is the usage and connection of open-access online databases such as OpenStreetMaps, Citybik.es, BKK Futár, MÁV Elvira and others. These databases cover different fields in the geographic domain. By connecting these databases with MapReduce paradigm and implementing smart algorithms, we are about to create an online tool where users could parametrize their trips around the town, using the live information and then visualize them on a map. For example, with the OpenStreetMaps it is possible to extract the maps, streets, POIs (point of interest), then with the Citybik.es we can get the live data about public bicycle sharing system, and with the BKK Futár we can access the live public transportation data, vehicles, timetables. In this paper, we focus on the data sources, the architecture with its common data model, and the main implementation steps of the system.
本文介绍了在CV4SensorHUB (SensorHUB的计算机视觉)框架下GIS(地理信息系统)研发子系统的实现。主要概念是使用和连接开放访问的在线数据库，如OpenStreetMaps, citybike .es, BKK Futár, MÁV Elvira等。这些数据库涵盖地理领域的不同领域。通过将这些数据库与MapReduce范例连接起来，并实现智能算法，我们将创建一个在线工具，用户可以使用实时信息参数化他们在城镇周围的旅行，然后在地图上可视化。例如，使用OpenStreetMaps可以提取地图，街道，poi(兴趣点)，然后使用citybike .es我们可以获得有关公共自行车共享系统的实时数据，使用BKK Futár我们可以访问实时公共交通数据，车辆，时间表。本文重点介绍了该系统的数据源、体系结构及其通用数据模型，以及系统的主要实现步骤。
{"title":"Implementation of a geographic information system with big data environment on common data model","authors":"Dávid Sik, K. Csorba, P. Ekler","doi":"10.1109/COGINFOCOM.2017.8268238","DOIUrl":"https://doi.org/10.1109/COGINFOCOM.2017.8268238","url":null,"abstract":"We introduce an implementation of a GIS (Geographic Information System) research and development subsystem in the CV4SensorHUB (Computer Vision for SensorHUB) framework. The main concept is the usage and connection of open-access online databases such as OpenStreetMaps, Citybik.es, BKK Futár, MÁV Elvira and others. These databases cover different fields in the geographic domain. By connecting these databases with MapReduce paradigm and implementing smart algorithms, we are about to create an online tool where users could parametrize their trips around the town, using the live information and then visualize them on a map. For example, with the OpenStreetMaps it is possible to extract the maps, streets, POIs (point of interest), then with the Citybik.es we can get the live data about public bicycle sharing system, and with the BKK Futár we can access the live public transportation data, vehicles, timetables. In this paper, we focus on the data sources, the architecture with its common data model, and the main implementation steps of the system.","PeriodicalId":212559,"journal":{"name":"2017 8th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127746855","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 : 2017-09-01DOI: 10.1109/COGINFOCOM.2017.8268282
Előd Gőgh, A. Kovács, Gergely Sziladi
In Hungary, the implementation and use of digital diaries in high schools facilitates the administration significantly and also allows features that are lacking by a paper-based diary. The half-year since the e-diary has been introduced in our school in the Kossuth Lajos Bilingual Technical Secondary School, gave many experiences and opinions among the teaching staff and these were gathered in a study presented in this article. These opinions and minds about the digital diary were analyzed through the results of an on-line survey filled by the teaching staff. The pre-set hypotheses were examined on the basis of the results of the questionnaire, and following this the conclusions were drawn.
{"title":"Application of E-diary to analyze the effectiveness of learning","authors":"Előd Gőgh, A. Kovács, Gergely Sziladi","doi":"10.1109/COGINFOCOM.2017.8268282","DOIUrl":"https://doi.org/10.1109/COGINFOCOM.2017.8268282","url":null,"abstract":"In Hungary, the implementation and use of digital diaries in high schools facilitates the administration significantly and also allows features that are lacking by a paper-based diary. The half-year since the e-diary has been introduced in our school in the Kossuth Lajos Bilingual Technical Secondary School, gave many experiences and opinions among the teaching staff and these were gathered in a study presented in this article. These opinions and minds about the digital diary were analyzed through the results of an on-line survey filled by the teaching staff. The pre-set hypotheses were examined on the basis of the results of the questionnaire, and following this the conclusions were drawn.","PeriodicalId":212559,"journal":{"name":"2017 8th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131513670","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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