Pub Date : 2022-04-01DOI: 10.4018/IJSKD.2022040101
Chala Wata Dereso, K. Meher, Abebe Asfawu Shobe
The purpose of the research is to investigate the impact of COVID-19 on higher education policies and their effect on students' academic performance at public universities in Ethiopia. The study adopts a quantitative approach followed by causal analysis by applying structural equation modeling. A sample of 384 has been selected through simple random sampling out of a large population of academic staff spread homogeneously across Ethiopia. The study variables are COVID-19, higher education policies, digital learning, teacher preparedness, and student academic performance. The findings reveal that the hypothesized model becomes a perfect fit. Based on the standardized coefficient, the most influencing path is the effect of higher education policy on digital learning, followed by the impact of COVID-19 on higher education policy, academic performance, and teacher preparedness, respectively. The study has further observed the partial effect of teacher preparedness on the students' academic performance.
{"title":"COVID-19 Pandemic and Strategizing the Higher Education Policies of Public Universities of Ethiopia","authors":"Chala Wata Dereso, K. Meher, Abebe Asfawu Shobe","doi":"10.4018/IJSKD.2022040101","DOIUrl":"https://doi.org/10.4018/IJSKD.2022040101","url":null,"abstract":"The purpose of the research is to investigate the impact of COVID-19 on higher education policies and their effect on students' academic performance at public universities in Ethiopia. The study adopts a quantitative approach followed by causal analysis by applying structural equation modeling. A sample of 384 has been selected through simple random sampling out of a large population of academic staff spread homogeneously across Ethiopia. The study variables are COVID-19, higher education policies, digital learning, teacher preparedness, and student academic performance. The findings reveal that the hypothesized model becomes a perfect fit. Based on the standardized coefficient, the most influencing path is the effect of higher education policy on digital learning, followed by the impact of COVID-19 on higher education policy, academic performance, and teacher preparedness, respectively. The study has further observed the partial effect of teacher preparedness on the students' academic performance.","PeriodicalId":13656,"journal":{"name":"Int. J. Sociotechnology Knowl. Dev.","volume":"37 1","pages":"1-16"},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82817843","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}
Amira Boulmaiz, Billel Meghni, A. Redjati, A. Azar
{"title":"LiTasNeT: A Bird Sound Separation Algorithm Based on Deep Learning","authors":"Amira Boulmaiz, Billel Meghni, A. Redjati, A. Azar","doi":"10.4018/ijskd.301261","DOIUrl":"https://doi.org/10.4018/ijskd.301261","url":null,"abstract":"","PeriodicalId":13656,"journal":{"name":"Int. J. Sociotechnology Knowl. Dev.","volume":"106 1","pages":"1-19"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76880525","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}
English language is taught universally and is therefore also in Saudi Arabia since 1958. But the student’s achievements have not been satisfactory, hence the imperative to research new teaching methods. The purpose of this study is to investigate the potential and effects of using mobile device games on learning English as a Foreign Language (EFL) vocabulary for student achievement in a Saudi female public high school. After conducting pilot studies of five mobile games with teachers and students, The English Bee, an original game specifically designed for this research project, was selected. The study comprised one participant cohort who were taught two modules; one through The English Bee in and the other module was taught by traditional methods. It employed a mixed methodology of a number of collection techniques for both qualitative and quantitative data, namely, pre- and post-tests, focus group discussions, interviews and reflective essays.
自1958年以来，沙特阿拉伯也普遍教授英语。但学生的学习成绩却不尽人意，因此研究新的教学方法势在必行。本研究的目的是调查在沙特女子公立高中使用移动设备游戏学习英语作为外语(EFL)词汇的潜力和影响。在与教师和学生进行了五款手机游戏的试点研究后，我们选择了专为本研究项目设计的原创游戏The English Bee。该研究包括一组参与者，他们被教授两个模块;一个模块通过“英语蜜蜂”进行教学，另一个模块采用传统方法进行教学。它采用了一系列收集定性和定量数据技术的混合方法，即前后测试、焦点小组讨论、访谈和反思性文章。
{"title":"Assessing the Learning Outcomes of Using Mobile Game Integration in Teaching English Vocabulary: A Case Study of Saudi Arabia","authors":"K. Alotaibi, Madhawi Ghallab Alharbi","doi":"10.4018/ijskd.299051","DOIUrl":"https://doi.org/10.4018/ijskd.299051","url":null,"abstract":"English language is taught universally and is therefore also in Saudi Arabia since 1958. But the student’s achievements have not been satisfactory, hence the imperative to research new teaching methods. The purpose of this study is to investigate the potential and effects of using mobile device games on learning English as a Foreign Language (EFL) vocabulary for student achievement in a Saudi female public high school. After conducting pilot studies of five mobile games with teachers and students, The English Bee, an original game specifically designed for this research project, was selected. The study comprised one participant cohort who were taught two modules; one through The English Bee in and the other module was taught by traditional methods. It employed a mixed methodology of a number of collection techniques for both qualitative and quantitative data, namely, pre- and post-tests, focus group discussions, interviews and reflective essays.","PeriodicalId":13656,"journal":{"name":"Int. J. Sociotechnology Knowl. Dev.","volume":"9 1","pages":"1-16"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82582437","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}
E. Ramanujam, L. Rasikannan, A. AnandhalakshmiP., Nashwa Ahmad Kamal
Technology is improving day by day and every new face of it is engrossing, making applied science astonishment. Robotics and Artificial Intelligence have taken the world beyond automation. Automation was once considered as a challenge, but now the same technology has stunned the whole world, with the transformation of vision to the reality of live cell robots. In this modern era, evolutionary algorithms with Artificial Intelligence have made an impact on the automation and the creation of rare live-cell species by integrating biological aspects of frog cells. It would be thus useful in various domains to build technologies using self-renewing, and biocompatible materials of which the ideal candidates are living themselves. Thus, this paper presents a live cell robot named Xenobots, its design method, formation, applications, and transformation of live cell robots to humanoid robots that mimic the human brain.
{"title":"Xenobots: A Remarkable Combination of an Artificial Intelligence-Based Biological Living Robot","authors":"E. Ramanujam, L. Rasikannan, A. AnandhalakshmiP., Nashwa Ahmad Kamal","doi":"10.4018/ijskd.289038","DOIUrl":"https://doi.org/10.4018/ijskd.289038","url":null,"abstract":"Technology is improving day by day and every new face of it is engrossing, making applied science astonishment. Robotics and Artificial Intelligence have taken the world beyond automation. Automation was once considered as a challenge, but now the same technology has stunned the whole world, with the transformation of vision to the reality of live cell robots. In this modern era, evolutionary algorithms with Artificial Intelligence have made an impact on the automation and the creation of rare live-cell species by integrating biological aspects of frog cells. It would be thus useful in various domains to build technologies using self-renewing, and biocompatible materials of which the ideal candidates are living themselves. Thus, this paper presents a live cell robot named Xenobots, its design method, formation, applications, and transformation of live cell robots to humanoid robots that mimic the human brain.","PeriodicalId":13656,"journal":{"name":"Int. J. Sociotechnology Knowl. Dev.","volume":"93 1","pages":"1-11"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79520947","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}
{"title":"Content Analysis of the Main Twitter Accounts of Saudi Universities: A Case for Effective Employers and Community Engagement","authors":"Sophia Alim, Ruqayya Abdulrahman","doi":"10.4018/ijskd.297979","DOIUrl":"https://doi.org/10.4018/ijskd.297979","url":null,"abstract":"","PeriodicalId":13656,"journal":{"name":"Int. J. Sociotechnology Knowl. Dev.","volume":"9 1","pages":"1-24"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82837858","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The aim of this study was to analyze learning scenarios at the elementary stage during the COVID-19 pandemic among seven countries in the Indian subcontinent. The problems teachers have been facing, their responses to these pandemic exigencies, and their basic concerns to resolve. This has been an exploratory study. Qualitative data was collected using purposive sampling via different social media groups using an internet survey as an instrument from forty-nine teachers teaching elementary students. Findings revealed that education delivery has undergone a dissatisfying dramatic change across this region during the time. Especially with the e-penetration in pedagogy. Trials and triumphs faced by teachers and perceived changes in behavior among students were worth exploring to initiate steps for comfortable learning space. The analysis evolved four major themes - challenges of online pedagogy, suggestion for improvement, concerns about students, and pedagogical needs.
{"title":"A Probe Into Elementary Teachers' Pedagogical Trials in Indian Subcontinent During the COVID-19 Pandemic","authors":"A. Kundu, G. Mondal, A. Mandal, Tripti Bej","doi":"10.4018/ijskd.301265","DOIUrl":"https://doi.org/10.4018/ijskd.301265","url":null,"abstract":"The aim of this study was to analyze learning scenarios at the elementary stage during the COVID-19 pandemic among seven countries in the Indian subcontinent. The problems teachers have been facing, their responses to these pandemic exigencies, and their basic concerns to resolve. This has been an exploratory study. Qualitative data was collected using purposive sampling via different social media groups using an internet survey as an instrument from forty-nine teachers teaching elementary students. Findings revealed that education delivery has undergone a dissatisfying dramatic change across this region during the time. Especially with the e-penetration in pedagogy. Trials and triumphs faced by teachers and perceived changes in behavior among students were worth exploring to initiate steps for comfortable learning space. The analysis evolved four major themes - challenges of online pedagogy, suggestion for improvement, concerns about students, and pedagogical needs.","PeriodicalId":13656,"journal":{"name":"Int. J. Sociotechnology Knowl. Dev.","volume":"51 1","pages":"1-19"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80829484","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}
Jothi Ganesan, H. Inbarani, A. Azar, K. Fouad, S. Sabbeh
Big data analysis applications in the field of medical image processing have recently increased rapidly. Feature reduction plays a significant role in eliminating irrelevant features and creating a successful research model for Big Data applications. Fuzzy clustering is used for the segment of the nucleus. Various features, including shape, texture, and color-based features, have been used to address the segmented nucleus. The Modified Dominance Soft Set Feature Selection Algorithm (MDSSA) is intended in this paper to determine the most important features for the classification of leukaemia images. The results of the MDSSA are evaluated using the variance analysis called ANOVA. In the dataset extracted function, the MDSSA selected 17 percent of the features that were more promising than the existing reduction algorithms. The proposed approach also reduces the time needed for further analysis of Big Data. The experimental findings confirm that the performance of the proposed reduction approach is higher than other approaches.
{"title":"Modified Dominance-Based Soft Set Approach for Feature Selection","authors":"Jothi Ganesan, H. Inbarani, A. Azar, K. Fouad, S. Sabbeh","doi":"10.4018/ijskd.289036","DOIUrl":"https://doi.org/10.4018/ijskd.289036","url":null,"abstract":"Big data analysis applications in the field of medical image processing have recently increased rapidly. Feature reduction plays a significant role in eliminating irrelevant features and creating a successful research model for Big Data applications. Fuzzy clustering is used for the segment of the nucleus. Various features, including shape, texture, and color-based features, have been used to address the segmented nucleus. The Modified Dominance Soft Set Feature Selection Algorithm (MDSSA) is intended in this paper to determine the most important features for the classification of leukaemia images. The results of the MDSSA are evaluated using the variance analysis called ANOVA. In the dataset extracted function, the MDSSA selected 17 percent of the features that were more promising than the existing reduction algorithms. The proposed approach also reduces the time needed for further analysis of Big Data. The experimental findings confirm that the performance of the proposed reduction approach is higher than other approaches.","PeriodicalId":13656,"journal":{"name":"Int. J. Sociotechnology Knowl. Dev.","volume":"28 1","pages":"1-20"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78367949","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}
Handling an information stream is a basic report for streaming application. There were numerous strategies which help during Bigdata streaming, however it can't deal with the tremendous information. To advance the productivity with least time intricacy, a Cuckoo Search Augmented Map Reduce for Predictive Scheduling (CSA-MRPS) system is presented. This technique incorporates cycles in preprocessing and prescient booking for stream information examination. In preprocessing, nonstop information streams are discretized utilizing Khiops and it begins from the constant time spans, consolidates the closest time as indicated by the Chi-square worth with lesser time intricacy. MapReduce work is applied to discretized information for prescient investigation utilizing Multi-Objective Ranked Cuckoo Search Optimization (MRCSA). It characterize the target capacities for the handling units, for example, CPU time, memory utilization, transfer speed use and energy utilization. Thus, CSA-MRPS Mechanism predicts the asset upgraded preparing unit with high position through the planning system.
{"title":"Cuckoo Search Augmented MapReduce for Predictive Scheduling With Big Stream Data","authors":"N. Arunadevi, Vidyaa Thulasiraaman","doi":"10.4018/ijskd.297043","DOIUrl":"https://doi.org/10.4018/ijskd.297043","url":null,"abstract":"Handling an information stream is a basic report for streaming application. There were numerous strategies which help during Bigdata streaming, however it can't deal with the tremendous information. To advance the productivity with least time intricacy, a Cuckoo Search Augmented Map Reduce for Predictive Scheduling (CSA-MRPS) system is presented. This technique incorporates cycles in preprocessing and prescient booking for stream information examination. In preprocessing, nonstop information streams are discretized utilizing Khiops and it begins from the constant time spans, consolidates the closest time as indicated by the Chi-square worth with lesser time intricacy. MapReduce work is applied to discretized information for prescient investigation utilizing Multi-Objective Ranked Cuckoo Search Optimization (MRCSA). It characterize the target capacities for the handling units, for example, CPU time, memory utilization, transfer speed use and energy utilization. Thus, CSA-MRPS Mechanism predicts the asset upgraded preparing unit with high position through the planning system.","PeriodicalId":13656,"journal":{"name":"Int. J. Sociotechnology Knowl. Dev.","volume":"261 1","pages":"1-18"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76247767","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}
L. Rasikannan, J. Suganthi, R. Sasikumar, K. ReshmaV.
Object identification has exploded alongside the remarkable progression of Convolutional Neural Network and its variations since 2012. Identification of objects in a field of computer vision has significantly increased especially to face and human subjects. Subsequently, computer vision has also addressed a global challenge on certain systems such as missing child detection in the last decade. However, there are certain challenges and limitations in the detection of children in the crowd only with face detection. Thus this paper proposes a Regional proposal based Convolutional Neural Network system that addresses the global challenges using three add-on features along with face. The real time dataset has been collected and the experimentations are conducted to validate the significance of the proposed system.
{"title":"Region Proposal-Based Convolutional Neural Network for Missing Child Detection","authors":"L. Rasikannan, J. Suganthi, R. Sasikumar, K. ReshmaV.","doi":"10.4018/ijskd.299050","DOIUrl":"https://doi.org/10.4018/ijskd.299050","url":null,"abstract":"Object identification has exploded alongside the remarkable progression of Convolutional Neural Network and its variations since 2012. Identification of objects in a field of computer vision has significantly increased especially to face and human subjects. Subsequently, computer vision has also addressed a global challenge on certain systems such as missing child detection in the last decade. However, there are certain challenges and limitations in the detection of children in the crowd only with face detection. Thus this paper proposes a Regional proposal based Convolutional Neural Network system that addresses the global challenges using three add-on features along with face. The real time dataset has been collected and the experimentations are conducted to validate the significance of the proposed system.","PeriodicalId":13656,"journal":{"name":"Int. J. Sociotechnology Knowl. Dev.","volume":"12 1","pages":"1-18"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88439934","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 paper provides a new approach for human identification based on Neighborhood Rough Set (NRS) algorithm with biometric application of ear recognition. The traditional rough set model can just be used to evaluate categorical features. The neighborhood model is used to evaluate both numerical and categorical features by assigning different thresholds for different classes of features. The feature vectors are obtained from ear image and ear matching process is performed. Actually, matching is a process of ear identification. The extracted features are matched with classes of ear images enrolled in the database. NRS algorithm is developed in this work for feature matching. A set of 20 persons are used for experimental analysis and each person is having six images. The experimental result illustrates the high accuracy of NRS approach when compared to other existing techniques.
{"title":"Neighborhood Rough Set Approach With Biometric Application","authors":"B. Lavanya, A. Azar, H. Inbarani","doi":"10.4018/ijskd.289041","DOIUrl":"https://doi.org/10.4018/ijskd.289041","url":null,"abstract":"This paper provides a new approach for human identification based on Neighborhood Rough Set (NRS) algorithm with biometric application of ear recognition. The traditional rough set model can just be used to evaluate categorical features. The neighborhood model is used to evaluate both numerical and categorical features by assigning different thresholds for different classes of features. The feature vectors are obtained from ear image and ear matching process is performed. Actually, matching is a process of ear identification. The extracted features are matched with classes of ear images enrolled in the database. NRS algorithm is developed in this work for feature matching. A set of 20 persons are used for experimental analysis and each person is having six images. The experimental result illustrates the high accuracy of NRS approach when compared to other existing techniques.","PeriodicalId":13656,"journal":{"name":"Int. J. Sociotechnology Knowl. Dev.","volume":"19 1","pages":"1-20"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81421648","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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