Pub Date : 2023-05-10DOI: 10.3991/ijim.v17i09.35505
Edvin Loh Yong Loke, R. Yusof, O. Mohd, E. Hamid, H. Nahar, Fahmi Arif, S. I. Fadilah
COVID-19 Self-Monitoring Tool (COV-SMT) is the research developed to address multiple issues in monitoring quarantined individuals due to COVID-19 infection. As COVID-19 is still highly infectious despite the availability of vaccines, the implementation of contactless Internet of Things (IoT) technology should be encouraged to minimize the need for medical staff to perform daily health checks and thus prevent them from being directly infected during checking. This research aims to develop an effective method to monitor quarantined individuals regarding their vital signs, such as body temperature, heart rate, and oxygen level. A contactless self-monitoring tool integrated with a stages algorithm is developed to monitor these quarantined individuals with the help of IoT technology. It can provide a consistent platform for patients or users to transfer information or data through networks, including personalized healthcare domains. COV-SMT is an effective tool to streamlet the overall process of taking measurements from quarantined individuals. It integrates multiple sensors into one tool while providing a better overall picture with its graphical presentation to help patients and medical staff better understand their health conditions.
{"title":"IOT Based Integrated COVID-19 Self-Monitoring Tool (COV-SMT) for Quarantine","authors":"Edvin Loh Yong Loke, R. Yusof, O. Mohd, E. Hamid, H. Nahar, Fahmi Arif, S. I. Fadilah","doi":"10.3991/ijim.v17i09.35505","DOIUrl":"https://doi.org/10.3991/ijim.v17i09.35505","url":null,"abstract":"COVID-19 Self-Monitoring Tool (COV-SMT) is the research developed to address multiple issues in monitoring quarantined individuals due to COVID-19 infection. As COVID-19 is still highly infectious despite the availability of vaccines, the implementation of contactless Internet of Things (IoT) technology should be encouraged to minimize the need for medical staff to perform daily health checks and thus prevent them from being directly infected during checking. This research aims to develop an effective method to monitor quarantined individuals regarding their vital signs, such as body temperature, heart rate, and oxygen level. A contactless self-monitoring tool integrated with a stages algorithm is developed to monitor these quarantined individuals with the help of IoT technology. It can provide a consistent platform for patients or users to transfer information or data through networks, including personalized healthcare domains. COV-SMT is an effective tool to streamlet the overall process of taking measurements from quarantined individuals. It integrates multiple sensors into one tool while providing a better overall picture with its graphical presentation to help patients and medical staff better understand their health conditions.","PeriodicalId":13648,"journal":{"name":"Int. J. Interact. Mob. Technol.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80278230","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 : 2023-05-10DOI: 10.3991/ijim.v17i09.38663
Mohamad Ikram Zakaria, Mohd Fadzil Abdul Hanid, Roslizam Hassan
This study was conducted to identify elements (teaching activities) that teachers can engage with involving a combination of M-learning methods with Problem-Based Learning methods (M-PBL). This study was conducted using the Nominal Group Technique (NGT) involving 11 experts with various fields of expertise such as mathematics education, educational technology, M-learning, pedagogy and the curriculum as well as primary school mathematics education teachers. The analysis of the findings was carried out using descriptive statistics (percentages) to determine the priority and ranking for each teaching activity. The findings show that overall, there are 30 relevant M-PBL teaching activities that can be carried out by teachers. The findings also show that teachers sharing the learning objectives that the pupils need to achieve using learning applications that are available on mobile devices (98%) ranked first while the teacher classifying the information obtained from each group according to priority through learning applications available on mobile devices (75%) ranked last. In conclusion, this study shows that both methods can be combined to form a new teaching method in the current 4.0 education era.
{"title":"Combination of M-learning with Problem Based Learning: Teaching Activities for Mathematics Teachers","authors":"Mohamad Ikram Zakaria, Mohd Fadzil Abdul Hanid, Roslizam Hassan","doi":"10.3991/ijim.v17i09.38663","DOIUrl":"https://doi.org/10.3991/ijim.v17i09.38663","url":null,"abstract":"This study was conducted to identify elements (teaching activities) that teachers can engage with involving a combination of M-learning methods with Problem-Based Learning methods (M-PBL). This study was conducted using the Nominal Group Technique (NGT) involving 11 experts with various fields of expertise such as mathematics education, educational technology, M-learning, pedagogy and the curriculum as well as primary school mathematics education teachers. The analysis of the findings was carried out using descriptive statistics (percentages) to determine the priority and ranking for each teaching activity. The findings show that overall, there are 30 relevant M-PBL teaching activities that can be carried out by teachers. The findings also show that teachers sharing the learning objectives that the pupils need to achieve using learning applications that are available on mobile devices (98%) ranked first while the teacher classifying the information obtained from each group according to priority through learning applications available on mobile devices (75%) ranked last. In conclusion, this study shows that both methods can be combined to form a new teaching method in the current 4.0 education era.","PeriodicalId":13648,"journal":{"name":"Int. J. Interact. Mob. Technol.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90865817","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 : 2023-05-10DOI: 10.3991/ijim.v17i09.38755
Rafeef A. Hameed, Wael J. Abed, A. Sadiq
The subject of sentiment analysis through social media sites has witnessed significant development due to the increasing reliance of people on social media in advertising and marketing, especially after the Corona pandemic. There is no doubt that the prevalence of the Arabic language makes it considered one of the most important languages all over the world. Through human comments, it can know things if they are positive or negative. But in fact, the comments are many, and it takes work to evaluate the place or the product through a detailed reading of each comment. Therefore, this study applied deep learning approaches to this issue to provide final results that could be utilized to differentiate between the comments in the dataset. Arabic Sentiment Analysis was used and gave a percentage for each positive and negative commentary. This work used eight methods of deep learning techniques after using Fast Text as embedding, except Ara BERT. These techniques are the transformer (AraBERT), RNN (Long short-term memory (LSTM), Bidirectional long-short term memory (BI-LSTM), Gated recurrent units (GRUs), Bidirectional Gated recurrent units (BI-GRU)), CNN (like ALEXNET, proposed CNN), and ensemble model (CNN with BI-GRU). The Hotel Arabic Reviews Dataset was utilized to test the models. This paper obtained the following results. In the Ara BERT model, the accuracy is 96.442%. In CNN, like the Alex Net model, the accuracy is 93.78%. In the suggested CNN model, the accuracy is 94.43%. In the suggested LSTM model, the accuracy is 95%. In the suggested BI-LSTM model, the accuracy is 95.11%. The accuracy of the suggested GRU model is 95.07%. The accuracy of the suggested BI-GRU model is 95.02%. The accuracy is 94.52% in the Ensemble CNN with BI-GRU model that has been proposed. Consequently, the AraBERT outperformed the other approaches in terms of accuracy. Because the AraBERT has already been trained on some Arabic Wikipedia entries. The LSTM, BI-LSTM, GRU, and BI-GRU, on the other hand, had comparable outcomes.
{"title":"Evaluation of Hotel Performance with Sentiment Analysis by Deep Learning Techniques","authors":"Rafeef A. Hameed, Wael J. Abed, A. Sadiq","doi":"10.3991/ijim.v17i09.38755","DOIUrl":"https://doi.org/10.3991/ijim.v17i09.38755","url":null,"abstract":"The subject of sentiment analysis through social media sites has witnessed significant development due to the increasing reliance of people on social media in advertising and marketing, especially after the Corona pandemic. There is no doubt that the prevalence of the Arabic language makes it considered one of the most important languages all over the world. Through human comments, it can know things if they are positive or negative. But in fact, the comments are many, and it takes work to evaluate the place or the product through a detailed reading of each comment. Therefore, this study applied deep learning approaches to this issue to provide final results that could be utilized to differentiate between the comments in the dataset. Arabic Sentiment Analysis was used and gave a percentage for each positive and negative commentary. This work used eight methods of deep learning techniques after using Fast Text as embedding, except Ara BERT. These techniques are the transformer (AraBERT), RNN (Long short-term memory (LSTM), Bidirectional long-short term memory (BI-LSTM), Gated recurrent units (GRUs), Bidirectional Gated recurrent units (BI-GRU)), CNN (like ALEXNET, proposed CNN), and ensemble model (CNN with BI-GRU). The Hotel Arabic Reviews Dataset was utilized to test the models. This paper obtained the following results. In the Ara BERT model, the accuracy is 96.442%. In CNN, like the Alex Net model, the accuracy is 93.78%. In the suggested CNN model, the accuracy is 94.43%. In the suggested LSTM model, the accuracy is 95%. In the suggested BI-LSTM model, the accuracy is 95.11%. The accuracy of the suggested GRU model is 95.07%. The accuracy of the suggested BI-GRU model is 95.02%. The accuracy is 94.52% in the Ensemble CNN with BI-GRU model that has been proposed. Consequently, the AraBERT outperformed the other approaches in terms of accuracy. Because the AraBERT has already been trained on some Arabic Wikipedia entries. The LSTM, BI-LSTM, GRU, and BI-GRU, on the other hand, had comparable outcomes.","PeriodicalId":13648,"journal":{"name":"Int. J. Interact. Mob. Technol.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78405679","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 : 2023-05-10DOI: 10.3991/ijim.v17i09.39463
Fitri Nurul’Ais Nordin, N. Ahmad, Lily Hanefarezan Binti Asbulah, Nursafira Binti Ahmad Safian
The Covid-19 pandemic that spreaded around the world in March 2020 has changed the nation’s education landscape. Standard Operating Procedures that demand presence at respective residences have made online learning one of the best platforms that replace face-to-face learning in educational institutions across the country. Thus, this study aims to propose an effective online language learning strategy to be a reference for educators and students to master language skills using post-Covid19 educational technology. This research employs quantitative methods cross sectional studies supported by qualitative data. The research instruments is questionnaires. A total of 280 respondents consisting of university students in the Arabic field at Malaysian universities answered the questionnaire. The results showed that the respondents know how to learn through online learning with a mean rate of 4.24 and the respondents agreed that the instructions given during online learning should be clear with a highest mean rate of 4.46. Among the online learning strategies used by students are always sharing opinions during online learning, responding using chat rooms to engage in discussions and making notes to improve understanding. Respondents are also satisfied with online learning platforms such as google meet, Webex and zoom.
{"title":"Online Language Learning Strategies in Institutes of Higher Learning (IPT) Malaysia Post Covid-19","authors":"Fitri Nurul’Ais Nordin, N. Ahmad, Lily Hanefarezan Binti Asbulah, Nursafira Binti Ahmad Safian","doi":"10.3991/ijim.v17i09.39463","DOIUrl":"https://doi.org/10.3991/ijim.v17i09.39463","url":null,"abstract":"The Covid-19 pandemic that spreaded around the world in March 2020 has changed the nation’s education landscape. Standard Operating Procedures that demand presence at respective residences have made online learning one of the best platforms that replace face-to-face learning in educational institutions across the country. Thus, this study aims to propose an effective online language learning strategy to be a reference for educators and students to master language skills using post-Covid19 educational technology. This research employs quantitative methods cross sectional studies supported by qualitative data. The research instruments is questionnaires. A total of 280 respondents consisting of university students in the Arabic field at Malaysian universities answered the questionnaire. The results showed that the respondents know how to learn through online learning with a mean rate of 4.24 and the respondents agreed that the instructions given during online learning should be clear with a highest mean rate of 4.46. Among the online learning strategies used by students are always sharing opinions during online learning, responding using chat rooms to engage in discussions and making notes to improve understanding. Respondents are also satisfied with online learning platforms such as google meet, Webex and zoom. \u0000 ","PeriodicalId":13648,"journal":{"name":"Int. J. Interact. Mob. Technol.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75333270","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 : 2023-05-10DOI: 10.3991/ijim.v17i09.38773
Baseem G. Nsaif, A. Sallomi
The importance of locating a mobile phone has increased significantly during last decade for security and commercial reasons. Locating the mobile phone leads to locating people. This is done by using the most common propagation models in the mobile phone network design to calculate the distance between the mobile phone and the base station, in addition to using positioning algorithms to predict the location of the mobile station. In this work, three telecommunication towers that provide mobile phone service for Zain Iraq were selected, located within the Mahmudiya area in Baghdad as a case study, and a test drive was conducted to measure the signal strength received from these base stations at more than 10 points located within the coverage area of these base stations. The Okumura-HATA model, and the UMTS propagation model were used to calculate the distances. The Gray-Wolf algorithm was used to improve mobile phone position prediction.
{"title":"Improving Mobile Location Prediction Using the Grey Wolf Optimization Algorithm","authors":"Baseem G. Nsaif, A. Sallomi","doi":"10.3991/ijim.v17i09.38773","DOIUrl":"https://doi.org/10.3991/ijim.v17i09.38773","url":null,"abstract":"The importance of locating a mobile phone has increased significantly during last decade for security and commercial reasons. Locating the mobile phone leads to locating people. This is done by using the most common propagation models in the mobile phone network design to calculate the distance between the mobile phone and the base station, in addition to using positioning algorithms to predict the location of the mobile station. In this work, three telecommunication towers that provide mobile phone service for Zain Iraq were selected, located within the Mahmudiya area in Baghdad as a case study, and a test drive was conducted to measure the signal strength received from these base stations at more than 10 points located within the coverage area of these base stations. The Okumura-HATA model, and the UMTS propagation model were used to calculate the distances. The Gray-Wolf algorithm was used to improve mobile phone position prediction.","PeriodicalId":13648,"journal":{"name":"Int. J. Interact. Mob. Technol.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84110971","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 : 2023-04-26DOI: 10.3991/ijim.v17i08.39467
Samar Raza Talpur, A. F. Abbas, Nohman Khan, Sobia Irum, Javed Ali
The present study looks at how the internet of things and blockchain technology might be used to improve prospects in supply chain procedures. The current pandemic has highlighted the significance of resilient and dependable supply chain systems that are less dependent on humans and more efficient in cycling goods supply chains. The present study included and excluded records from two recognised databases, Scopus and Web of Science, using the PRISMA declaration 2020. After following the inclusion and exclusion criteria details, investigated the forty-seven articles with two significant data streams (traceability of supply chain management, resin and sustainability). Results illustrated that in today's environment, the rivalry has shifted from "firm vs firm" to "supply chain vs supply chain." As a result, the ability to optimise the supply chain has arisen as a significant issue for organisations seeking a competitive advantage. However, it has become increasingly challenging to traceability of products and merchandise while they are moving through the value chain network. The Internet of Things (IoT) applications and blockchain technologies can help companies observe, track, and monitor products, activities, privacy, security and processes within their respective value chain networks. Other applications of IoT include product monitoring to optimise operations in warehousing, manufacturing, food supply chain and transportation. Combined with IoT, Blockchain technology can enable various application scenarios to enhance supply-chain transparency and trust. When combined, IoT and Blockchain technology can increase the effectiveness and efficiency of modern supply chains. First, we illustrate how deploying Blockchain technology in combination with IoT infrastructure can streamline and benefit modern supply chains and enhance value chain networks. Second, we also identified that the resilience of big data analytics, machine learning and artificial intelligence is helpful for the sustainable development of social, economic and environmental contexts.
本研究着眼于如何使用物联网和区块链技术来改善供应链程序的前景。当前的大流行凸显了有弹性和可靠的供应链系统的重要性，这些系统对人类的依赖程度较低，在货物供应链循环方面效率更高。本研究使用PRISMA宣言2020纳入和排除了两个公认数据库Scopus和Web of Science中的记录。在遵循纳入和排除标准的详细信息后，用两个重要的数据流(供应链管理的可追溯性、树脂和可持续性)调查了47篇文章。结果表明，在今天的环境中，竞争已经从“公司对公司”转变为“供应链对供应链”。因此，优化供应链的能力已经成为寻求竞争优势的组织的一个重要问题。然而，当产品和商品在价值链网络中移动时，其可追溯性变得越来越具有挑战性。物联网(IoT)应用和区块链技术可以帮助公司观察、跟踪和监控各自价值链网络中的产品、活动、隐私、安全和流程。物联网的其他应用包括产品监控，以优化仓储、制造、食品供应链和运输方面的运营。与物联网相结合，区块链技术可以实现各种应用场景，增强供应链的透明度和信任。当物联网和区块链技术相结合时，可以提高现代供应链的有效性和效率。首先，我们说明了如何将区块链技术与物联网基础设施相结合，以简化和受益于现代供应链，并增强价值链网络。其次，我们还发现，大数据分析、机器学习和人工智能的弹性有助于社会、经济和环境的可持续发展。
{"title":"Improving Opportunities in Supply Chain Processes Using the Internet of Things and Blockchain Technology","authors":"Samar Raza Talpur, A. F. Abbas, Nohman Khan, Sobia Irum, Javed Ali","doi":"10.3991/ijim.v17i08.39467","DOIUrl":"https://doi.org/10.3991/ijim.v17i08.39467","url":null,"abstract":"The present study looks at how the internet of things and blockchain technology might be used to improve prospects in supply chain procedures. The current pandemic has highlighted the significance of resilient and dependable supply chain systems that are less dependent on humans and more efficient in cycling goods supply chains. The present study included and excluded records from two recognised databases, Scopus and Web of Science, using the PRISMA declaration 2020. After following the inclusion and exclusion criteria details, investigated the forty-seven articles with two significant data streams (traceability of supply chain management, resin and sustainability). Results illustrated that in today's environment, the rivalry has shifted from \"firm vs firm\" to \"supply chain vs supply chain.\" As a result, the ability to optimise the supply chain has arisen as a significant issue for organisations seeking a competitive advantage. However, it has become increasingly challenging to traceability of products and merchandise while they are moving through the value chain network. The Internet of Things (IoT) applications and blockchain technologies can help companies observe, track, and monitor products, activities, privacy, security and processes within their respective value chain networks. Other applications of IoT include product monitoring to optimise operations in warehousing, manufacturing, food supply chain and transportation. Combined with IoT, Blockchain technology can enable various application scenarios to enhance supply-chain transparency and trust. When combined, IoT and Blockchain technology can increase the effectiveness and efficiency of modern supply chains. First, we illustrate how deploying Blockchain technology in combination with IoT infrastructure can streamline and benefit modern supply chains and enhance value chain networks. Second, we also identified that the resilience of big data analytics, machine learning and artificial intelligence is helpful for the sustainable development of social, economic and environmental contexts. \u0000 ","PeriodicalId":13648,"journal":{"name":"Int. J. Interact. Mob. Technol.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91077794","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 : 2023-04-26DOI: 10.3991/ijim.v17i08.39339
M. M. Laftah, Iman I. Hamid, Nashwan Alsalam Ali
Illegal distribution of digital data is a common danger in the film industry, especially with the rapid spread of the Internet, where it is now possible to easily distribute pirated copies of digital video on a global scale. The Watermarking system inserts invisible signs to the video content without changing the content itself. The aim of this paper is to build an invisible video watermarking system with high imperceptibility. Firstly, the watermark is confused by using the Arnold transform and then dividing into equal, non-overlapping blocks. Each block is then embedded in a specific frame using the Discrete Wavelet Transform (DWT), where the HL band is used for this purpose. Regarding the method of selecting the host frames, the chaotic map (tent map) was used to choose a number of frames which are greater or equal to the number of blocks of the watermark. The host frame selection method makes the discovery of the watermark information by illegal means very complicated. The experimental results show that the proposed method can produce excellent transparency with robustness against some attacks where the average_ PSNR reaches to 72.806.
{"title":"Video Copyright Protection","authors":"M. M. Laftah, Iman I. Hamid, Nashwan Alsalam Ali","doi":"10.3991/ijim.v17i08.39339","DOIUrl":"https://doi.org/10.3991/ijim.v17i08.39339","url":null,"abstract":"Illegal distribution of digital data is a common danger in the film industry, especially with the rapid spread of the Internet, where it is now possible to easily distribute pirated copies of digital video on a global scale. The Watermarking system inserts invisible signs to the video content without changing the content itself. The aim of this paper is to build an invisible video watermarking system with high imperceptibility. Firstly, the watermark is confused by using the Arnold transform and then dividing into equal, non-overlapping blocks. Each block is then embedded in a specific frame using the Discrete Wavelet Transform (DWT), where the HL band is used for this purpose. Regarding the method of selecting the host frames, the chaotic map (tent map) was used to choose a number of frames which are greater or equal to the number of blocks of the watermark. The host frame selection method makes the discovery of the watermark information by illegal means very complicated. The experimental results show that the proposed method can produce excellent transparency with robustness against some attacks where the average_ PSNR reaches to 72.806.","PeriodicalId":13648,"journal":{"name":"Int. J. Interact. Mob. Technol.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90761180","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 : 2023-04-26DOI: 10.3991/ijim.v17i08.38785
A. Qusef, Sharefa Murad, N. Alsalhi, E. A. Shudayfat
— In application development lifecycle, specifically in test-driven development, refactoring plays a crucial role in sustaining ease. However, in-spite of bringing ease, refactoring does not ensure the desired behaviour of code after it is applied. Because refactoring tends to worsen the alignments between source code and its corresponding units. One significant solution to the aforementioned issue is the technique called unit testing. As unit testing enable the developers to confidently apply refactoring while avoiding undesired code behaviour. Unit testing provides effective preventive measures for avoiding bugs by providing immediate feedback, thus assisting to mitigate the fear of change. In this work, we present a tool called GreenRefPlus which efficiently enables the developers to maintain the veracity of code after the process of refactoring is applied. The proposed tool provides automatic recovery for the unit tests after the code is refactored. In this work, we consider Java as our target programming language and we focus on five various types of refactoring, which include Rename Method, Extract Method, Move Method, Parameter Addition and Parameter Removal. Our experiments indicate that the proposed tool GreenRefPlus enables us to consistently refactor the code and apply unit tests. The results presented in our work reveal that the proposed tool assists developers in saving approximately 43% of the total time required to manually recover from broken unit tests.
{"title":"Post-Refactoring Recovery of Unit Tests: An Automated Approach","authors":"A. Qusef, Sharefa Murad, N. Alsalhi, E. A. Shudayfat","doi":"10.3991/ijim.v17i08.38785","DOIUrl":"https://doi.org/10.3991/ijim.v17i08.38785","url":null,"abstract":"— In application development lifecycle, specifically in test-driven development, refactoring plays a crucial role in sustaining ease. However, in-spite of bringing ease, refactoring does not ensure the desired behaviour of code after it is applied. Because refactoring tends to worsen the alignments between source code and its corresponding units. One significant solution to the aforementioned issue is the technique called unit testing. As unit testing enable the developers to confidently apply refactoring while avoiding undesired code behaviour. Unit testing provides effective preventive measures for avoiding bugs by providing immediate feedback, thus assisting to mitigate the fear of change. In this work, we present a tool called GreenRefPlus which efficiently enables the developers to maintain the veracity of code after the process of refactoring is applied. The proposed tool provides automatic recovery for the unit tests after the code is refactored. In this work, we consider Java as our target programming language and we focus on five various types of refactoring, which include Rename Method, Extract Method, Move Method, Parameter Addition and Parameter Removal. Our experiments indicate that the proposed tool GreenRefPlus enables us to consistently refactor the code and apply unit tests. The results presented in our work reveal that the proposed tool assists developers in saving approximately 43% of the total time required to manually recover from broken unit tests.","PeriodicalId":13648,"journal":{"name":"Int. J. Interact. Mob. Technol.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91337797","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 : 2023-04-26DOI: 10.3991/ijim.v17i08.36935
G. Farsi, Azmi Bin Mohd Yusof, Mohd Ezanee Bin Rusli, M. Alsinani
Virtual reality (VR) has emerged as a major tool in this field of research and education development. However, many challenges arise for students during the course of instruction and learning. The learning process, the placement of support assessment variables, and the behavioral intention to continue using it within the learning spectrum are crucial to the success of virtual reality in the educational sector. The goals of this study are to inquire into the degree to which VR is now being utilized in the field of education. In addition, Thematic analysis was used to analyze the data since it provided an applicable approach to use across the interviews, many methods combined into this study. The study polled 32 teachers and analyzed the results with advanced analysist tools. All of the proposed points were determined using the data analysis.
{"title":"The Current Perceptions About Instructional Tools in Educational Towards Adoption of Virtual Reality Among Undergraduate Students","authors":"G. Farsi, Azmi Bin Mohd Yusof, Mohd Ezanee Bin Rusli, M. Alsinani","doi":"10.3991/ijim.v17i08.36935","DOIUrl":"https://doi.org/10.3991/ijim.v17i08.36935","url":null,"abstract":"Virtual reality (VR) has emerged as a major tool in this field of research and education development. However, many challenges arise for students during the course of instruction and learning. The learning process, the placement of support assessment variables, and the behavioral intention to continue using it within the learning spectrum are crucial to the success of virtual reality in the educational sector. The goals of this study are to inquire into the degree to which VR is now being utilized in the field of education. In addition, Thematic analysis was used to analyze the data since it provided an applicable approach to use across the interviews, many methods combined into this study. The study polled 32 teachers and analyzed the results with advanced analysist tools. All of the proposed points were determined using the data analysis. \u0000 ","PeriodicalId":13648,"journal":{"name":"Int. J. Interact. Mob. Technol.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89206135","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 : 2023-04-26DOI: 10.3991/ijim.v17i08.37877
Chara Papoutsi, A. Drigas, C. Skianis, Marios A. Pappas
The purpose of this study was to examine teachers’ attitudes and perceptions regarding the integration and development of Emotional Intelligence (ΕΙ) in preschool, primary, and secondary teaching levels within the school context. ΕΙ is a gateway to a balanced life. It is a major factor for a healthy development of interpersonal relationships, whether we are referring to relationships in personal or professional life. Because of its importance, teachers should be informed and trained how to develop their ΕΙ and how to cultivate and strengthen their students’ ΕΙ. In this study is presented an online questionnaire which was designed in order to assess teachers’ attitudes and perceptions regarding El development in Greek schools. Psychometric evaluation on data from 242 teachers indicates that the proposed scale is valid and reliable.
{"title":"Emotional Intelligence in the School Context: The Case of Greece for Teachers' Attitudes and the Role of Mobiles and ICTs","authors":"Chara Papoutsi, A. Drigas, C. Skianis, Marios A. Pappas","doi":"10.3991/ijim.v17i08.37877","DOIUrl":"https://doi.org/10.3991/ijim.v17i08.37877","url":null,"abstract":"The purpose of this study was to examine teachers’ attitudes and perceptions regarding the integration and development of Emotional Intelligence (ΕΙ) in preschool, primary, and secondary teaching levels within the school context. ΕΙ is a gateway to a balanced life. It is a major factor for a healthy development of interpersonal relationships, whether we are referring to relationships in personal or professional life. Because of its importance, teachers should be informed and trained how to develop their ΕΙ and how to cultivate and strengthen their students’ ΕΙ. In this study is presented an online questionnaire which was designed in order to assess teachers’ attitudes and perceptions regarding El development in Greek schools. Psychometric evaluation on data from 242 teachers indicates that the proposed scale is valid and reliable.","PeriodicalId":13648,"journal":{"name":"Int. J. Interact. Mob. Technol.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75304891","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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