One of the biggest challenges in cloud federations is how to express the federation level agreement (FLA) and voluntary aspect of the federation members and maintain the integrity of the organization. However, existing works are not able to present the cloud federation management aspect or implement these properties that distinguish cloud federation from other inter-cloud organizations. This paper bridges this gap by proposing a managed cloud federation architecture based on this subset of properties. The key component of this architecture is the federation manager that controls, tracks, evaluates, and predicts the behavior of the federation. In order to ensure the effectiveness of the approach, the authors developed the Managed Federation Simulator to implement the proposed federation architecture on the SmartFed simulator and evaluate it through a set of scenarios on a real case study.
{"title":"Federation-Level Agreement and Integrity-Based Managed Cloud Federation Architecture","authors":"Afifa Ghenai, Chems Eddine Nouioua","doi":"10.4018/jitr.2020100107","DOIUrl":"https://doi.org/10.4018/jitr.2020100107","url":null,"abstract":"One of the biggest challenges in cloud federations is how to express the federation level agreement (FLA) and voluntary aspect of the federation members and maintain the integrity of the organization. However, existing works are not able to present the cloud federation management aspect or implement these properties that distinguish cloud federation from other inter-cloud organizations. This paper bridges this gap by proposing a managed cloud federation architecture based on this subset of properties. The key component of this architecture is the federation manager that controls, tracks, evaluates, and predicts the behavior of the federation. In order to ensure the effectiveness of the approach, the authors developed the Managed Federation Simulator to implement the proposed federation architecture on the SmartFed simulator and evaluate it through a set of scenarios on a real case study.","PeriodicalId":296080,"journal":{"name":"J. Inf. Technol. Res.","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127011359","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}
With the rapid development of computer science, use of artificial intelligence (AI) in education has caught much attention across the world although it is still a young field with many under-explored research elements. Through visualizing study with bibliometric evaluation and taxonomy of the literature using both VOSviewer and CiteSpace, this study provided references for readers in terms of cluster mapping on the basis of keywords, bibliographic coupling of countries, cluster mapping on the basis of co-citations, citation counts, bursts, betweenness centrality, and sigma. Researchers could also take the findings of this study into serious consideration when they set about researching effectiveness, efficiency, or usefulness of AI in education. Future research into use of AI in education will most likely need interdisciplinary cooperation between computer science, statistics, education, cognition, and robotics.
{"title":"Visualizing Artificial Intelligence Used in Education Over Two Decades","authors":"Zhonggen Yu","doi":"10.4018/jitr.2020100103","DOIUrl":"https://doi.org/10.4018/jitr.2020100103","url":null,"abstract":"With the rapid development of computer science, use of artificial intelligence (AI) in education has caught much attention across the world although it is still a young field with many under-explored research elements. Through visualizing study with bibliometric evaluation and taxonomy of the literature using both VOSviewer and CiteSpace, this study provided references for readers in terms of cluster mapping on the basis of keywords, bibliographic coupling of countries, cluster mapping on the basis of co-citations, citation counts, bursts, betweenness centrality, and sigma. Researchers could also take the findings of this study into serious consideration when they set about researching effectiveness, efficiency, or usefulness of AI in education. Future research into use of AI in education will most likely need interdisciplinary cooperation between computer science, statistics, education, cognition, and robotics.","PeriodicalId":296080,"journal":{"name":"J. Inf. Technol. Res.","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122465384","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}
Alberto Coustasse, Morgan Ruley, T. C. Mike, Briana M. Washington, Anna Robinson
Rural areas have experienced a higher than average shortage of healthcare professionals. Numerous challenges have limited access to mental health services. Some of these barriers have included transportation, number of providers, poverty, and lack of insurance. Recently, the utilization of telepsychiatry has increased in rural areas. The purpose of this review was to identify and coalesce the benefits of telepsychiatry for adults living in rural communities in the United States to determine if telepsychiatry has improved access and quality of care. The methodology for this study was a literature review that followed a systematic approach. References and sources were written in English and were taken from studies in the United States between 2004 and 2018 to keep this review current. Fifty-nine references were selected from five databases. It was found that several studies supported that telepsychiatry has improved access and quality of care available in rural environments. At the same time, telepsychiatry in mental healthcare has not been utilized as it should in rural adult populations due to lack of access, an overall shortage of providers, and poor distribution of psychiatrists. There are numerous benefits to implementing telepsychiatry in rural areas. While there are still barriers that prevent widespread utilization, telepsychiatry can improve mental health outcomes by linking rural patients to high-quality mental healthcare services that follow evidence-based care and best practices. Telepsychiatry utilization in rural areas in the United States has demonstrated to have a significant ability to transform mental health care delivery and clinician productivity. As technology continues to advance access, telepsychiatry will also advance, making access more readily available.
{"title":"Telepsychiatry Use in Rural Areas in the United States: A Literature Review of the Benefits","authors":"Alberto Coustasse, Morgan Ruley, T. C. Mike, Briana M. Washington, Anna Robinson","doi":"10.4018/jitr.2020100101","DOIUrl":"https://doi.org/10.4018/jitr.2020100101","url":null,"abstract":"Rural areas have experienced a higher than average shortage of healthcare professionals. Numerous challenges have limited access to mental health services. Some of these barriers have included transportation, number of providers, poverty, and lack of insurance. Recently, the utilization of telepsychiatry has increased in rural areas. The purpose of this review was to identify and coalesce the benefits of telepsychiatry for adults living in rural communities in the United States to determine if telepsychiatry has improved access and quality of care. The methodology for this study was a literature review that followed a systematic approach. References and sources were written in English and were taken from studies in the United States between 2004 and 2018 to keep this review current. Fifty-nine references were selected from five databases. It was found that several studies supported that telepsychiatry has improved access and quality of care available in rural environments. At the same time, telepsychiatry in mental healthcare has not been utilized as it should in rural adult populations due to lack of access, an overall shortage of providers, and poor distribution of psychiatrists. There are numerous benefits to implementing telepsychiatry in rural areas. While there are still barriers that prevent widespread utilization, telepsychiatry can improve mental health outcomes by linking rural patients to high-quality mental healthcare services that follow evidence-based care and best practices. Telepsychiatry utilization in rural areas in the United States has demonstrated to have a significant ability to transform mental health care delivery and clinician productivity. As technology continues to advance access, telepsychiatry will also advance, making access more readily available.","PeriodicalId":296080,"journal":{"name":"J. Inf. Technol. Res.","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127252734","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}
Root-cause analysis has been one of the major requirements of the current information-rich world due to the huge number of opinions available online. This paper presents a heterogeneous weighted voting-based ensemble (HWVE) model for root-cause analysis. The proposed model is composed of an aspect extraction and filtering module, a model-based sentiment identification module, and a ranking module. Domain-based aspect ontologies are created using the available training data and is used for categorization. The input data is passed to the HWVE model for opinion identification and is in-parallel passed to the significance identification phase for aspect identification. The identified aspects are combined with their corresponding sentiments and ranked based on their ontological occurrence levels to provide the final categorized root-causes. Experiments were performed with the five-product dataset, and comparisons were performed with recent models. Results indicate that the proposed model exhibits improved performances of 5%-13% in terms of F-measure when compared to other models.
{"title":"Heterogeneous Weighted Voting-Based Ensemble (HWVE) for Root-Cause Analysis","authors":"B. Selvam, S. Ravimaran, S. Sheba","doi":"10.4018/jitr.2020100105","DOIUrl":"https://doi.org/10.4018/jitr.2020100105","url":null,"abstract":"Root-cause analysis has been one of the major requirements of the current information-rich world due to the huge number of opinions available online. This paper presents a heterogeneous weighted voting-based ensemble (HWVE) model for root-cause analysis. The proposed model is composed of an aspect extraction and filtering module, a model-based sentiment identification module, and a ranking module. Domain-based aspect ontologies are created using the available training data and is used for categorization. The input data is passed to the HWVE model for opinion identification and is in-parallel passed to the significance identification phase for aspect identification. The identified aspects are combined with their corresponding sentiments and ranked based on their ontological occurrence levels to provide the final categorized root-causes. Experiments were performed with the five-product dataset, and comparisons were performed with recent models. Results indicate that the proposed model exhibits improved performances of 5%-13% in terms of F-measure when compared to other models.","PeriodicalId":296080,"journal":{"name":"J. Inf. Technol. Res.","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125720997","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 : 2020-10-01DOI: 10.4018/jitr.20201001.oa1
Suliman Mohamed Fati, A. Jaradat, I. Abunadi, Ahmed Sameh Mohammed
Cloud computing, as a trend technology, has stemmed from the concept of virtualization. Virtualization makes the resources available to the public to use without any concern for ownership or maintenance cost. In addition, the hosted applications in cloud computing platforms are highly interactive and require intensive resources. The new trend is to duplicate these applications in multiple virtual machines based on demand. Such a scheme needs an efficient resource provisioning to manage the resource assignment to multiple virtual machines properly. One of the issues in the current resource provisioning technique is assigning the resources proactively without predicting the workload of hosted applications, which cause load imbalance and resource wasting. Thus, this paper proposes a new model to predict the application workload. The experimental results show the ability of the proposed model to allocate more virtual machines and to balance the workload among the physical machines.
{"title":"Modelling Virtual Machine Workload in Heterogeneous Cloud Computing Platforms","authors":"Suliman Mohamed Fati, A. Jaradat, I. Abunadi, Ahmed Sameh Mohammed","doi":"10.4018/jitr.20201001.oa1","DOIUrl":"https://doi.org/10.4018/jitr.20201001.oa1","url":null,"abstract":"Cloud computing, as a trend technology, has stemmed from the concept of virtualization. Virtualization makes the resources available to the public to use without any concern for ownership or maintenance cost. In addition, the hosted applications in cloud computing platforms are highly interactive and require intensive resources. The new trend is to duplicate these applications in multiple virtual machines based on demand. Such a scheme needs an efficient resource provisioning to manage the resource assignment to multiple virtual machines properly. One of the issues in the current resource provisioning technique is assigning the resources proactively without predicting the workload of hosted applications, which cause load imbalance and resource wasting. Thus, this paper proposes a new model to predict the application workload. The experimental results show the ability of the proposed model to allocate more virtual machines and to balance the workload among the physical machines.","PeriodicalId":296080,"journal":{"name":"J. Inf. Technol. Res.","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131035342","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}
Antonio Jose Rodrigues Neto, M. M. Borges, Licinio Gomes Roque
In this study, the authors acknowledge Proof-of-Concept (PoC) as an activity with a set of practices performed by its practitioners and consumed by organizations that aim to explore new products or technologies and achieve knowledge production and consumption. PoC practices are poorly explored and characterized in the scientific literature. The motivation of this research is the clarification of an approach to PoC. This article introduces a “new” and different view of PoC practices using Activity Theory and Hermeneutics. The authors debate that it is not possible to understand the whole PoC until its constituent parts and context have been understood. Therefore, the process of appropriation of knowledge in PoC occurs in social interaction between one practitioner and another, through an activity that is mediated in the relations between those practitioners, and an activity between the triad—subject (practitioner), object of learning (outcome), and mediating artifacts—with the aim of improving PoC practices.
{"title":"A \"New\" View of Proof-of-Concept Practices Through the Lenses of Activity Theory and Hermeneutics","authors":"Antonio Jose Rodrigues Neto, M. M. Borges, Licinio Gomes Roque","doi":"10.4018/jitr.2020100108","DOIUrl":"https://doi.org/10.4018/jitr.2020100108","url":null,"abstract":"In this study, the authors acknowledge Proof-of-Concept (PoC) as an activity with a set of practices performed by its practitioners and consumed by organizations that aim to explore new products or technologies and achieve knowledge production and consumption. PoC practices are poorly explored and characterized in the scientific literature. The motivation of this research is the clarification of an approach to PoC. This article introduces a “new” and different view of PoC practices using Activity Theory and Hermeneutics. The authors debate that it is not possible to understand the whole PoC until its constituent parts and context have been understood. Therefore, the process of appropriation of knowledge in PoC occurs in social interaction between one practitioner and another, through an activity that is mediated in the relations between those practitioners, and an activity between the triad—subject (practitioner), object of learning (outcome), and mediating artifacts—with the aim of improving PoC practices.","PeriodicalId":296080,"journal":{"name":"J. Inf. Technol. Res.","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132548283","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}
Magnetic resonance (MR) images suffer from noise introduced by various sources. Due to this noise, diagnosis remains inaccurate. Thus, removal of noise becomes a very important task when dealing with MR images. In this paper, a denoising method has been discussed that makes use of non-local means filter and discrete total variation method. The proposed approach has been compared with other noise removal techniques like non-local means filter, anisotropic diffusion, total variation, and discrete total variation method, and it proves to be effective in reducing noise. The performance of various denoising methods is compared on basis of metrics such as peak signal-to-noise ratio (PSNR), mean square error (MSE), universal image quality index (UQI), and structure similarity index (SSIM) values. This method has been tested for various noise levels, and it outperformed other existing noise removal techniques, without blurring the image.
{"title":"Discrete Total Variation-Based Non-Local Means Filter for Denoising Magnetic Resonance Images","authors":"N. Joshi, Sarika Jain, Amit Agarwal","doi":"10.4018/jitr.2020100102","DOIUrl":"https://doi.org/10.4018/jitr.2020100102","url":null,"abstract":"Magnetic resonance (MR) images suffer from noise introduced by various sources. Due to this noise, diagnosis remains inaccurate. Thus, removal of noise becomes a very important task when dealing with MR images. In this paper, a denoising method has been discussed that makes use of non-local means filter and discrete total variation method. The proposed approach has been compared with other noise removal techniques like non-local means filter, anisotropic diffusion, total variation, and discrete total variation method, and it proves to be effective in reducing noise. The performance of various denoising methods is compared on basis of metrics such as peak signal-to-noise ratio (PSNR), mean square error (MSE), universal image quality index (UQI), and structure similarity index (SSIM) values. This method has been tested for various noise levels, and it outperformed other existing noise removal techniques, without blurring the image.","PeriodicalId":296080,"journal":{"name":"J. Inf. Technol. Res.","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131742237","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}
This study sets out to conduct a systematic review of the emergence and evolution of gamification in the social environment, its main components, and its application as a learning tool through the motivation and engagement it generates in people. The results were obtained by consulting two major scientific databases, namely, Scopus and the Web of Science, which provided 136 articles published on the social environment from 2011 through to mid-2016 using the term gamification. The results of this study reveal how over time gamification has been gaining importance in the social environment through the use of its components. The highest number of scientific publications come from the United States and Spain. In addition, the use of gaming components increases motivation and engagement. It shows how gamification uses (individual or group) rewards according to the context to achieve the proposed objectives, being successfully implemented in education, health, services, and social learning.
本研究旨在对游戏化在社会环境中的出现和演变、游戏化的主要组成部分以及游戏化作为一种学习工具的应用(通过游戏化在人们中产生的动机和参与度)进行系统回顾。这一结果是通过查阅两个主要的科学数据库，即Scopus和Web of Science获得的，这两个数据库提供了从2011年到2016年中期使用“游戏化”一词发表的136篇关于社会环境的文章。这项研究的结果揭示了随着时间的推移，游戏化如何通过使用其组件在社会环境中变得越来越重要。发表最多科学论文的国家是美国和西班牙。此外，游戏组件的使用还能提高动机和用户粘性。它展示了游戏化如何根据情境使用(个人或团体)奖励来实现所提出的目标，并成功地在教育、卫生、服务和社会学习中实施。
{"title":"Gamification and Its Application in the Social Environment: A Tool for Shaping Behaviour","authors":"Staling Cordero-Brito, J. Mena","doi":"10.4018/jitr.2020070104","DOIUrl":"https://doi.org/10.4018/jitr.2020070104","url":null,"abstract":"This study sets out to conduct a systematic review of the emergence and evolution of gamification in the social environment, its main components, and its application as a learning tool through the motivation and engagement it generates in people. The results were obtained by consulting two major scientific databases, namely, Scopus and the Web of Science, which provided 136 articles published on the social environment from 2011 through to mid-2016 using the term gamification. The results of this study reveal how over time gamification has been gaining importance in the social environment through the use of its components. The highest number of scientific publications come from the United States and Spain. In addition, the use of gaming components increases motivation and engagement. It shows how gamification uses (individual or group) rewards according to the context to achieve the proposed objectives, being successfully implemented in education, health, services, and social learning.","PeriodicalId":296080,"journal":{"name":"J. Inf. Technol. Res.","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122408065","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}
Twitter is one of the largest sources of real-time information on the Internet and is continuously fed by millions of users around the world. Each of these users publishes text messages with their opinions, concerns, information, or simply their daily happenings. It is a challenge to address the analysis of massive data in the network, just as it is an objective to look for ways to understand everything that data can offer today in terms of knowledge of society and the market. The sector of science communication is still discovering everything that the web 2.0 and social networks can offer to reach all audiences. This article develops a classification model of messages launched on Twitter, on science topics, in Spanish, with machine learning techniques. The training of this type of models requires the creation of a specific corpus in Spanish for the subject of science, which is one of the most laborious tasks. The classifier is able to predict the sentiment of the message in real time on Twitter, with a confidence interval greater than 80%. The results of its evaluation are at 72% accuracy.
{"title":"Supervised Sentiment Analysis of Science Topics: Developing a Training Set of Tweets in Spanish","authors":"Patricia Sánchez-Holgado, C. A. Calderón","doi":"10.4018/jitr.2020070105","DOIUrl":"https://doi.org/10.4018/jitr.2020070105","url":null,"abstract":"Twitter is one of the largest sources of real-time information on the Internet and is continuously fed by millions of users around the world. Each of these users publishes text messages with their opinions, concerns, information, or simply their daily happenings. It is a challenge to address the analysis of massive data in the network, just as it is an objective to look for ways to understand everything that data can offer today in terms of knowledge of society and the market. The sector of science communication is still discovering everything that the web 2.0 and social networks can offer to reach all audiences. This article develops a classification model of messages launched on Twitter, on science topics, in Spanish, with machine learning techniques. The training of this type of models requires the creation of a specific corpus in Spanish for the subject of science, which is one of the most laborious tasks. The classifier is able to predict the sentiment of the message in real time on Twitter, with a confidence interval greater than 80%. The results of its evaluation are at 72% accuracy.","PeriodicalId":296080,"journal":{"name":"J. Inf. Technol. Res.","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114562653","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}
Spatial conditions influence social relations and the development of cultural bonds inside a building. The traditional configuration of most school classrooms must be reconsidered to allow for changes in the educational paradigm to support ICT for learning. It is not clear which environmental aspects should be modified to improve performance in physical learning environments (LE), especially to accommodate hybrid models in classrooms. This article describes the process used to understand education conditions for attending to student needs, the connection between the LE, new technologies, and a social climate favourable to educational changes. This study was carried out in a public secondary school in North-eastern Brazil and adopted a design science research method to perform a participatory design exercise, to develop new classroom environment concepts. The results suggest a set of guidelines for LE suitable for active learning methods, considering activities modalities and environment quality criteria, focused on positive social climate conditions and on ergonomic recommendations.
{"title":"Social Climate and Classroom Adaptations for Blended Learning Practices","authors":"Thaisa Sampaio Sarmento, A. S. Gomes, F. Moreira","doi":"10.4018/jitr.2020070101","DOIUrl":"https://doi.org/10.4018/jitr.2020070101","url":null,"abstract":"Spatial conditions influence social relations and the development of cultural bonds inside a building. The traditional configuration of most school classrooms must be reconsidered to allow for changes in the educational paradigm to support ICT for learning. It is not clear which environmental aspects should be modified to improve performance in physical learning environments (LE), especially to accommodate hybrid models in classrooms. This article describes the process used to understand education conditions for attending to student needs, the connection between the LE, new technologies, and a social climate favourable to educational changes. This study was carried out in a public secondary school in North-eastern Brazil and adopted a design science research method to perform a participatory design exercise, to develop new classroom environment concepts. The results suggest a set of guidelines for LE suitable for active learning methods, considering activities modalities and environment quality criteria, focused on positive social climate conditions and on ergonomic recommendations.","PeriodicalId":296080,"journal":{"name":"J. Inf. Technol. Res.","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124233785","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：