Pub Date : 2021-03-27DOI: 10.1109/ICIET51873.2021.9419638
Jing Chang
The outbreak of the COVID-19 pandemic has brought online education under the spotlight. Universities have resorted to online education practices, including online instruction and learning, to achieve outcomes that are essentially comparable with offline classroom teaching. In this paper, an analysis was conducted to identify the impact of parallel online education on instructors and students, and relevant aspects were discussed. This study was aimed at obtaining a deeper understanding of the nature of online education so as to facilitate its long-term growth. This paper suggests that instructors should consider the particularity of online education when completing their pre-class, in-class and after-class instructional design, with a special focus on enhancing the learning outcomes of students.
{"title":"Online Instruction and Offline Classroom Teaching: A Study on Parallel Education Systems","authors":"Jing Chang","doi":"10.1109/ICIET51873.2021.9419638","DOIUrl":"https://doi.org/10.1109/ICIET51873.2021.9419638","url":null,"abstract":"The outbreak of the COVID-19 pandemic has brought online education under the spotlight. Universities have resorted to online education practices, including online instruction and learning, to achieve outcomes that are essentially comparable with offline classroom teaching. In this paper, an analysis was conducted to identify the impact of parallel online education on instructors and students, and relevant aspects were discussed. This study was aimed at obtaining a deeper understanding of the nature of online education so as to facilitate its long-term growth. This paper suggests that instructors should consider the particularity of online education when completing their pre-class, in-class and after-class instructional design, with a special focus on enhancing the learning outcomes of students.","PeriodicalId":156688,"journal":{"name":"2021 9th International Conference on Information and Education Technology (ICIET)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115272308","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 : 2021-03-27DOI: 10.1109/ICIET51873.2021.9419658
Ariel Kamoyedji, N. Funabiki, Hein Htet, M. Kuribayashi
The User-PC computing system (UPC) has been devised to provide a very low-cost distributed computing platform to members of a group, using idling resources of their personal computers (PCs). Based on the master-worker model, the master PC accepts jobs from users and assigns them to available worker PCs. Unfortunately, an efficient job assignment method has not been implemented yet. In this paper, we propose a static job scheduling algorithm considering the CPU core utilization, for the UPC system. Given a set of independent jobs, this two-stage heuristic algorithm finds an assigned worker for each job in order to minimize the makespan. To efficiently utilize CPU cores in worker PCs, the first stage groups workers and jobs into several classes according to the number of available cores or threads. It then greedily sets up job-worker assignments in each class independently. The second stage improves the assignments with a local search method by randomly moving job-worker assignments between different classes. For evaluation, we conducted experiments using six worker PCs and up to 27 jobs. Our algorithm could reduce the makespan by up to 60% compared to three baseline scheduling algorithms. However, its performance gradually decreases as the number of jobs significantly increases.
{"title":"A Proposal of Static Job Scheduling Algorithm Considering CPU Core Utilization for User-PC Computing System","authors":"Ariel Kamoyedji, N. Funabiki, Hein Htet, M. Kuribayashi","doi":"10.1109/ICIET51873.2021.9419658","DOIUrl":"https://doi.org/10.1109/ICIET51873.2021.9419658","url":null,"abstract":"The User-PC computing system (UPC) has been devised to provide a very low-cost distributed computing platform to members of a group, using idling resources of their personal computers (PCs). Based on the master-worker model, the master PC accepts jobs from users and assigns them to available worker PCs. Unfortunately, an efficient job assignment method has not been implemented yet. In this paper, we propose a static job scheduling algorithm considering the CPU core utilization, for the UPC system. Given a set of independent jobs, this two-stage heuristic algorithm finds an assigned worker for each job in order to minimize the makespan. To efficiently utilize CPU cores in worker PCs, the first stage groups workers and jobs into several classes according to the number of available cores or threads. It then greedily sets up job-worker assignments in each class independently. The second stage improves the assignments with a local search method by randomly moving job-worker assignments between different classes. For evaluation, we conducted experiments using six worker PCs and up to 27 jobs. Our algorithm could reduce the makespan by up to 60% compared to three baseline scheduling algorithms. However, its performance gradually decreases as the number of jobs significantly increases.","PeriodicalId":156688,"journal":{"name":"2021 9th International Conference on Information and Education Technology (ICIET)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129517199","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 : 2021-03-27DOI: 10.1109/ICIET51873.2021.9419635
J. Fernández-Prados, Antonia Lozano-Díaz, Alexandra Ainz-Galende, Rubén Rodríguez-Puertas
Social and political activism is one of the pillars of a country's political culture and democratic health. The latest wave of the World Values Survey with a sample of 67,267 respondents in 46 countries, collects two sets of questions on unconventional political actions face-to-face and digitally. A typology of activism and two scales of face-to-face and digital activism (FUPAS and DUPAS) have been obtained. A democratic gap is found between those who participate and those who do not, and another digital gap between those who participate face-to-face and digitally. Its impact has been evaluated by age, more active and more digital young people, and by country, the most active and digital developed countries. Educating for digital citizenship becomes a priority to overcome the divides and improve democratic health.
{"title":"Intergenerational Digital and Democratic Divide: Comparative Analysis of Unconventional and Digital Activism around the World","authors":"J. Fernández-Prados, Antonia Lozano-Díaz, Alexandra Ainz-Galende, Rubén Rodríguez-Puertas","doi":"10.1109/ICIET51873.2021.9419635","DOIUrl":"https://doi.org/10.1109/ICIET51873.2021.9419635","url":null,"abstract":"Social and political activism is one of the pillars of a country's political culture and democratic health. The latest wave of the World Values Survey with a sample of 67,267 respondents in 46 countries, collects two sets of questions on unconventional political actions face-to-face and digitally. A typology of activism and two scales of face-to-face and digital activism (FUPAS and DUPAS) have been obtained. A democratic gap is found between those who participate and those who do not, and another digital gap between those who participate face-to-face and digitally. Its impact has been evaluated by age, more active and more digital young people, and by country, the most active and digital developed countries. Educating for digital citizenship becomes a priority to overcome the divides and improve democratic health.","PeriodicalId":156688,"journal":{"name":"2021 9th International Conference on Information and Education Technology (ICIET)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114170102","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 : 2021-03-27DOI: 10.1109/ICIET51873.2021.9419641
Prince Tyagi, Naman Goyal, Trasha Gupta
With the advent of the internet among people in recent times, usage of social media and expressing views online has become part of everyone's routine. People are sharing their opinions on social media through text, videos, images, etc. Due to the nature of data shared on social media, it could be used to effectively analyze the emotions of humans, understand and model various events. One such event that happened in recent times is a pandemic due to the Covid-19 virus. Through this paper, we try to compare the emotions and sentiments of people worldwide during four phases of complete and relaxed lockdown through tweets. The four phases of lockdown are defined as Constricted Phase, Semi Constricted Phase, Semi Relaxed Phase, Relaxed Phase. This work will enable the community to provide useful insights and show how people adjusted and how they fought themselves to the pandemic.
{"title":"Analysis of COVID-19 Tweets During Lockdown Phases","authors":"Prince Tyagi, Naman Goyal, Trasha Gupta","doi":"10.1109/ICIET51873.2021.9419641","DOIUrl":"https://doi.org/10.1109/ICIET51873.2021.9419641","url":null,"abstract":"With the advent of the internet among people in recent times, usage of social media and expressing views online has become part of everyone's routine. People are sharing their opinions on social media through text, videos, images, etc. Due to the nature of data shared on social media, it could be used to effectively analyze the emotions of humans, understand and model various events. One such event that happened in recent times is a pandemic due to the Covid-19 virus. Through this paper, we try to compare the emotions and sentiments of people worldwide during four phases of complete and relaxed lockdown through tweets. The four phases of lockdown are defined as Constricted Phase, Semi Constricted Phase, Semi Relaxed Phase, Relaxed Phase. This work will enable the community to provide useful insights and show how people adjusted and how they fought themselves to the pandemic.","PeriodicalId":156688,"journal":{"name":"2021 9th International Conference on Information and Education Technology (ICIET)","volume":"160 50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114559619","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 : 2021-03-27DOI: 10.1109/ICIET51873.2021.9419586
Jonathan Adams, Erin Murphy, John Sutor, Ava Dodd
A literature review was conducted using journal articles and conference proceedings to examine emerging research practices, and applications of synthetic visual data over the past 5 years. The current research examined articles related to research trends in artificial intelligence training intended to improve computer vision and object detection. Search strings were developed and used to retrieve research articles from the ACM and IEEE databases. The resulting articles were examined for trends, general practices, disciplines where the greatest efforts have been made, advances, and relevant production processes. The research reveals that visual synthetic data encompasses filtering, augmentation, and object domain randomization techniques. Further, all of the research that included an evaluation of synthetic visual data suggest that there are noteworthy performance improvements in accuracy. Additionally, producing realistic synthetic data reduces the current limitations related to labeling, image quality, paucity of relevant data, and privacy issues.
{"title":"Assessing the Qualities of Synthetic Visual Data Production","authors":"Jonathan Adams, Erin Murphy, John Sutor, Ava Dodd","doi":"10.1109/ICIET51873.2021.9419586","DOIUrl":"https://doi.org/10.1109/ICIET51873.2021.9419586","url":null,"abstract":"A literature review was conducted using journal articles and conference proceedings to examine emerging research practices, and applications of synthetic visual data over the past 5 years. The current research examined articles related to research trends in artificial intelligence training intended to improve computer vision and object detection. Search strings were developed and used to retrieve research articles from the ACM and IEEE databases. The resulting articles were examined for trends, general practices, disciplines where the greatest efforts have been made, advances, and relevant production processes. The research reveals that visual synthetic data encompasses filtering, augmentation, and object domain randomization techniques. Further, all of the research that included an evaluation of synthetic visual data suggest that there are noteworthy performance improvements in accuracy. Additionally, producing realistic synthetic data reduces the current limitations related to labeling, image quality, paucity of relevant data, and privacy issues.","PeriodicalId":156688,"journal":{"name":"2021 9th International Conference on Information and Education Technology (ICIET)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126598233","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 : 2021-03-27DOI: 10.1109/ICIET51873.2021.9419616
Zheng Yu, Rongheng Lin, Ke Song, Fangchun Yang
With the development of online education, the mining and analysis of educational data has become especially important. In teaching, detecting students' typical errors is an extremely important factor for higher teaching efficacy. Most of the current researches use clustering or decision tree algorithms for partitioning. However, these algorithms more or less fail to recognize the connection between students and the errors they make, and cannot effectively and intuitively derive their typical errors. This paper proposes a framework that combines community detection and association rules to detect students' typical errors in English teaching. First, the framework adds the error auxiliary nodes and obtains the student's error communities and typical errors. Second, it calculates the errors' frequent itemsets, and mines the association rules between errors. And last, it combines the association rules with the error communities to supplement the potential errors, which effectively summarizes students' typical errors in their learning process.
{"title":"A Framework for Detecting and Summarizing Students' Typical Errors in English Teaching","authors":"Zheng Yu, Rongheng Lin, Ke Song, Fangchun Yang","doi":"10.1109/ICIET51873.2021.9419616","DOIUrl":"https://doi.org/10.1109/ICIET51873.2021.9419616","url":null,"abstract":"With the development of online education, the mining and analysis of educational data has become especially important. In teaching, detecting students' typical errors is an extremely important factor for higher teaching efficacy. Most of the current researches use clustering or decision tree algorithms for partitioning. However, these algorithms more or less fail to recognize the connection between students and the errors they make, and cannot effectively and intuitively derive their typical errors. This paper proposes a framework that combines community detection and association rules to detect students' typical errors in English teaching. First, the framework adds the error auxiliary nodes and obtains the student's error communities and typical errors. Second, it calculates the errors' frequent itemsets, and mines the association rules between errors. And last, it combines the association rules with the error communities to supplement the potential errors, which effectively summarizes students' typical errors in their learning process.","PeriodicalId":156688,"journal":{"name":"2021 9th International Conference on Information and Education Technology (ICIET)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130782027","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 : 2021-03-27DOI: 10.1109/ICIET51873.2021.9419580
Dwi Listriana Kusumastuti, Meyliana, A. Hidayanto, Harjanto Prabowo
In the current era, many sectors have changed, including the education sector. With the support of the development of technology and information, it has resulted in changes in business processes in the world of education. Switch from traditional learning models to electronic learning models. Providing learning with the same learning method mechanism for all individuals will reduce the individual's right to receive learning. So that the electronic learning model has shifted to a personal and open learning system, namely learning with the Massive Open Online Course (MOOC). Based on these conditions, appropriate models and techniques are needed to achieve student-oriented learning. The purpose of this study is to identify and classify general criteria for adaptive learning system models in the MOOC system. The method used in this research is through literature studies on papers published in the last five years (2016–2020). The results showed a general model that is often used as a basis for developing adaptive learning, so that it can be used for further research and development.
{"title":"Models of Adaptive Learning System in MOOC: A Systematic Literature Review","authors":"Dwi Listriana Kusumastuti, Meyliana, A. Hidayanto, Harjanto Prabowo","doi":"10.1109/ICIET51873.2021.9419580","DOIUrl":"https://doi.org/10.1109/ICIET51873.2021.9419580","url":null,"abstract":"In the current era, many sectors have changed, including the education sector. With the support of the development of technology and information, it has resulted in changes in business processes in the world of education. Switch from traditional learning models to electronic learning models. Providing learning with the same learning method mechanism for all individuals will reduce the individual's right to receive learning. So that the electronic learning model has shifted to a personal and open learning system, namely learning with the Massive Open Online Course (MOOC). Based on these conditions, appropriate models and techniques are needed to achieve student-oriented learning. The purpose of this study is to identify and classify general criteria for adaptive learning system models in the MOOC system. The method used in this research is through literature studies on papers published in the last five years (2016–2020). The results showed a general model that is often used as a basis for developing adaptive learning, so that it can be used for further research and development.","PeriodicalId":156688,"journal":{"name":"2021 9th International Conference on Information and Education Technology (ICIET)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115801729","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 : 2021-03-27DOI: 10.1109/ICIET51873.2021.9419645
W. Dou
With the development of information technology and promotion of college English teaching reformation, English writing online courses have been adjusted and improved continuously. This article aims to introduce the development background of online English writing courses in Chinese universities, illustrate the application of online writing courses and analyze the problems of online writing courses. And then through sorting out learning strategies for English writing courses, this paper intends to propose the optimization of those learning strategies based on the online automatic evaluation system.
{"title":"Study on Learning Strategies of College English Writing Based on Online Automatic Evaluation System*","authors":"W. Dou","doi":"10.1109/ICIET51873.2021.9419645","DOIUrl":"https://doi.org/10.1109/ICIET51873.2021.9419645","url":null,"abstract":"With the development of information technology and promotion of college English teaching reformation, English writing online courses have been adjusted and improved continuously. This article aims to introduce the development background of online English writing courses in Chinese universities, illustrate the application of online writing courses and analyze the problems of online writing courses. And then through sorting out learning strategies for English writing courses, this paper intends to propose the optimization of those learning strategies based on the online automatic evaluation system.","PeriodicalId":156688,"journal":{"name":"2021 9th International Conference on Information and Education Technology (ICIET)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114372639","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 : 2021-03-27DOI: 10.1109/ICIET51873.2021.9419598
A. Seffah, M. Kuhail, Joao Negreiros
Computer laboratories, or simply labs, are crucial in many fields including Information Technologies (IT), Management Information Systems (MIS), Computer Science (CS) and Software Engineering (SE). Labs play a vital role in helping students achieve the know-how and develop problem solving, communication and collaboration skills. Traditional labs comprising desktop computers organized into lines or U shapes have been around for almost forty years. Many of the contemporary labs look very different from their ancestors. They are designed to facilitate a myriad of learning activities including solo learning, testing and perhaps foremost, collaborative group work. This paper reviews some ergonomics issues and investigates examples of innovative labs being developed nowadays. We elaborate on the innovative labs' powerfulness in addressing the drawbacks of traditional labs as well in supporting innovative teaching methods, student creativity and interactions, and the education eco-system engagement. Further, we present several ergonomic tips as a lab proposal for Zayed University (ZU) and under the computing education research umbrella.
{"title":"IT Teaching Labs: Innovations in a Distance Education Era","authors":"A. Seffah, M. Kuhail, Joao Negreiros","doi":"10.1109/ICIET51873.2021.9419598","DOIUrl":"https://doi.org/10.1109/ICIET51873.2021.9419598","url":null,"abstract":"Computer laboratories, or simply labs, are crucial in many fields including Information Technologies (IT), Management Information Systems (MIS), Computer Science (CS) and Software Engineering (SE). Labs play a vital role in helping students achieve the know-how and develop problem solving, communication and collaboration skills. Traditional labs comprising desktop computers organized into lines or U shapes have been around for almost forty years. Many of the contemporary labs look very different from their ancestors. They are designed to facilitate a myriad of learning activities including solo learning, testing and perhaps foremost, collaborative group work. This paper reviews some ergonomics issues and investigates examples of innovative labs being developed nowadays. We elaborate on the innovative labs' powerfulness in addressing the drawbacks of traditional labs as well in supporting innovative teaching methods, student creativity and interactions, and the education eco-system engagement. Further, we present several ergonomic tips as a lab proposal for Zayed University (ZU) and under the computing education research umbrella.","PeriodicalId":156688,"journal":{"name":"2021 9th International Conference on Information and Education Technology (ICIET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130119270","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 : 2021-03-27DOI: 10.1109/ICIET51873.2021.9419587
Rusudan Makhachashvili, I. Semenist
The global pandemic and subsequent quarantine measures and restrictions have posed an array of challenges to the structure and procedure of higher education workflow, which influenced significantly the scope of individual experiences, projected outcomes and estimated quality of higher education in countries across the world. This study focus is the in-depth assessment of individual digital distance and blended learning experiences by relevant groups of stakeholders in Oriental (Mandarin Chinese, Japanese) and European (French, Italian, Spanish, English,) Languages university level programs in regions of Ukraine through the span of educational activities in the timeframe of COVID-19 quarantine measures of March 2020 to January 2021. The survey and analysis of different ICT tools is used to assess the parameters and challenges of individual quality and efficiency of translation of the real life Foreign Languages Acquisition practices into digital blended format, involving activation of interdisciplinary skills and cross-sectorial activities, assisted by ICT tools. The online survey of 14 universities in regional centers of Ukraine provides for disclosure of individual experiences and quality estimation of e-learning and hybrid learning in the framework of COVID-19 lockdown; assessment of individual experiences and quality of e-learning and hybrid learning in the framework of COVID-19 lockdown as compared to traditional, face-to-face learning formats for foreign languages; individual quality assessment of learning process design, programmed leaning outcomes and projected competences for university programs of Oriental and European languages in the framework of COVID-19 lockdown and quarantine measures.
{"title":"Digital Distance And Blended Learning Quality Assessment In Oriental And European Languages University Programs: Regions Of Ukraine Survey Study","authors":"Rusudan Makhachashvili, I. Semenist","doi":"10.1109/ICIET51873.2021.9419587","DOIUrl":"https://doi.org/10.1109/ICIET51873.2021.9419587","url":null,"abstract":"The global pandemic and subsequent quarantine measures and restrictions have posed an array of challenges to the structure and procedure of higher education workflow, which influenced significantly the scope of individual experiences, projected outcomes and estimated quality of higher education in countries across the world. This study focus is the in-depth assessment of individual digital distance and blended learning experiences by relevant groups of stakeholders in Oriental (Mandarin Chinese, Japanese) and European (French, Italian, Spanish, English,) Languages university level programs in regions of Ukraine through the span of educational activities in the timeframe of COVID-19 quarantine measures of March 2020 to January 2021. The survey and analysis of different ICT tools is used to assess the parameters and challenges of individual quality and efficiency of translation of the real life Foreign Languages Acquisition practices into digital blended format, involving activation of interdisciplinary skills and cross-sectorial activities, assisted by ICT tools. The online survey of 14 universities in regional centers of Ukraine provides for disclosure of individual experiences and quality estimation of e-learning and hybrid learning in the framework of COVID-19 lockdown; assessment of individual experiences and quality of e-learning and hybrid learning in the framework of COVID-19 lockdown as compared to traditional, face-to-face learning formats for foreign languages; individual quality assessment of learning process design, programmed leaning outcomes and projected competences for university programs of Oriental and European languages in the framework of COVID-19 lockdown and quarantine measures.","PeriodicalId":156688,"journal":{"name":"2021 9th International Conference on Information and Education Technology (ICIET)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126818966","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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