Pub Date : 2023-03-18DOI: 10.1109/ICIET56899.2023.10111484
Shiau Foong Wong, M. Mahmud
The COVID-19 pandemic has significantly changed education and caused unprecedented disruptions. These changes may disappear once the schools resume face-to-face classes in full force. Likewise, a positive change may not be necessarily what we want in education. This may be due to the existence of digital divide among students which cannot be ignored. During the COVID-19 pandemic, OneNote Class Notebook is used as an interactive digital whiteboard and has been evident as one of the best alternatives to the traditional whiteboard in the teaching and learning process. In this study, we aim to analyze students’ perceptions of OneNote Class Notebook and the level of their continuous intention to use OneNote Class Notebook as an interactive digital whiteboard to replace the traditional whiteboard when school reopens with face-to-face lessons in the classroom in full force. The findings show that the students perceived that OneNote Class Notebook is indeed a useful tool to be used for calculus learning. But, it cannot be perceived as suitability to continue to be used during post COVID-19 period, when school reopens with physical classes in full force. In this regard, it reminds educators of the importance of rethinking education in the new normal post COVID-19 era from the perspective of curriculum studies.
2019冠状病毒病大流行极大地改变了教育，造成了前所未有的破坏。一旦学校全面恢复面对面授课，这些变化可能就会消失。同样，积极的变化不一定是我们想要的教育。这可能是由于学生之间存在不可忽视的数字鸿沟。在2019冠状病毒病大流行期间，OneNote Class Notebook被用作交互式数字白板，在教学过程中已被证明是传统白板的最佳替代品之一。在这项研究中，我们的目的是分析学生对OneNote Class Notebook的看法，以及当学校重新开放，在课堂上全面进行面对面课程时，他们持续使用OneNote Class Notebook作为交互式数字白板以取代传统白板的意愿程度。研究结果表明，学生们认为OneNote课堂笔记本确实是一个有用的工具，用于微积分学习。但是，在2019冠状病毒病后学校重新开放并全面开设体育课的时期，它不能被视为适合继续使用。因此，它提醒教育工作者从课程研究的角度重新思考后新常态下教育的重要性。
{"title":"Student Perspective of Online Pedagogy Post COVID-19. A Missed Opportunity?","authors":"Shiau Foong Wong, M. Mahmud","doi":"10.1109/ICIET56899.2023.10111484","DOIUrl":"https://doi.org/10.1109/ICIET56899.2023.10111484","url":null,"abstract":"The COVID-19 pandemic has significantly changed education and caused unprecedented disruptions. These changes may disappear once the schools resume face-to-face classes in full force. Likewise, a positive change may not be necessarily what we want in education. This may be due to the existence of digital divide among students which cannot be ignored. During the COVID-19 pandemic, OneNote Class Notebook is used as an interactive digital whiteboard and has been evident as one of the best alternatives to the traditional whiteboard in the teaching and learning process. In this study, we aim to analyze students’ perceptions of OneNote Class Notebook and the level of their continuous intention to use OneNote Class Notebook as an interactive digital whiteboard to replace the traditional whiteboard when school reopens with face-to-face lessons in the classroom in full force. The findings show that the students perceived that OneNote Class Notebook is indeed a useful tool to be used for calculus learning. But, it cannot be perceived as suitability to continue to be used during post COVID-19 period, when school reopens with physical classes in full force. In this regard, it reminds educators of the importance of rethinking education in the new normal post COVID-19 era from the perspective of curriculum studies.","PeriodicalId":332586,"journal":{"name":"2023 11th International Conference on Information and Education Technology (ICIET)","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133708963","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 : 2023-03-18DOI: 10.1109/ICIET56899.2023.10111141
Alissa Mae C. Chua, Curt Ericson M. Jaurigue, Julia Anna Denise F. Torres, Joel C. De Goma
With the recent global COVID-19 pandemic and lockdowns, accreditation delays have become inevitable in lieu of the strict travel restrictions. The usual accreditation inspection process conducted face-to-face was affected. Organizations are shifting to a reliance on technology to adapt to the national emergency. The study aims to bridge the gap by digitalization Professional Regulation Commission's (PRC) monitoring and accreditation system to conduct a virtual inspection and monitoring. With all of these said, the specific objectives of the researchers and developers are to develop an efficient digitized system that captures the original one. In developing the proposed accreditation and monitoring system and document management system (website) for PRC, the group will adapt and take inspiration from the Agile Development Lifecycle methodology, which will help the modification and other functionality of the system by using the iterative style in the development of the system. The proposed digital monitoring system undergoes a cross-browser test, and performance test, i.e., Requirements Traceability Matrix (RTM). These tests show that the proposed system passed the compatibility for commonly used browsers like Chrome, Edge, Mozilla, and many more. The Final Test in Performance Testing showed that the system RTM functions had passed all final testing.
{"title":"Digitalization of Professional Regulation Commission (PRC) Process of Accreditation of Nutritionist and Dietetics","authors":"Alissa Mae C. Chua, Curt Ericson M. Jaurigue, Julia Anna Denise F. Torres, Joel C. De Goma","doi":"10.1109/ICIET56899.2023.10111141","DOIUrl":"https://doi.org/10.1109/ICIET56899.2023.10111141","url":null,"abstract":"With the recent global COVID-19 pandemic and lockdowns, accreditation delays have become inevitable in lieu of the strict travel restrictions. The usual accreditation inspection process conducted face-to-face was affected. Organizations are shifting to a reliance on technology to adapt to the national emergency. The study aims to bridge the gap by digitalization Professional Regulation Commission's (PRC) monitoring and accreditation system to conduct a virtual inspection and monitoring. With all of these said, the specific objectives of the researchers and developers are to develop an efficient digitized system that captures the original one. In developing the proposed accreditation and monitoring system and document management system (website) for PRC, the group will adapt and take inspiration from the Agile Development Lifecycle methodology, which will help the modification and other functionality of the system by using the iterative style in the development of the system. The proposed digital monitoring system undergoes a cross-browser test, and performance test, i.e., Requirements Traceability Matrix (RTM). These tests show that the proposed system passed the compatibility for commonly used browsers like Chrome, Edge, Mozilla, and many more. The Final Test in Performance Testing showed that the system RTM functions had passed all final testing.","PeriodicalId":332586,"journal":{"name":"2023 11th International Conference on Information and Education Technology (ICIET)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122877857","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 : 2023-03-18DOI: 10.1109/ICIET56899.2023.10111115
Yakun Wang, Fuxiang Yu
The development of Artificial Intelligence (AI) technology brings opportunities and challenges to the education system. It is changing the way educational information is disseminated and at the same time triggering a change in the educational model. Based on the database of CNKI, this paper uses the visualization tool CiteSpace software to map the knowledge structure of AI education system research and conducts a bibliometric analysis of the relevant literature collected in this field. The results showed that 1) In the past 20 years, the emphasis of studies AI education system in China has shifted from a singular artificial intelligence to smart technology, decision-making systems, learning analysis, big data, and knowledge engineering. The qualities, such as increasing study horizon and growing research scope, are highlighted. 2) AI helps to upgrade the elements of education, intelligent education for large-scale, personalized education, and the development path of AI education technology are research hotspots. 3) Smart education, Artificial intelligence, Talent training, Emotional computing, and Smart classroom are the strongest bursting keywords in the last two years, indicating the recent research frontiers.
{"title":"Visualization and Analysis of Mapping Knowledge Domains for AI Education System Studies","authors":"Yakun Wang, Fuxiang Yu","doi":"10.1109/ICIET56899.2023.10111115","DOIUrl":"https://doi.org/10.1109/ICIET56899.2023.10111115","url":null,"abstract":"The development of Artificial Intelligence (AI) technology brings opportunities and challenges to the education system. It is changing the way educational information is disseminated and at the same time triggering a change in the educational model. Based on the database of CNKI, this paper uses the visualization tool CiteSpace software to map the knowledge structure of AI education system research and conducts a bibliometric analysis of the relevant literature collected in this field. The results showed that 1) In the past 20 years, the emphasis of studies AI education system in China has shifted from a singular artificial intelligence to smart technology, decision-making systems, learning analysis, big data, and knowledge engineering. The qualities, such as increasing study horizon and growing research scope, are highlighted. 2) AI helps to upgrade the elements of education, intelligent education for large-scale, personalized education, and the development path of AI education technology are research hotspots. 3) Smart education, Artificial intelligence, Talent training, Emotional computing, and Smart classroom are the strongest bursting keywords in the last two years, indicating the recent research frontiers.","PeriodicalId":332586,"journal":{"name":"2023 11th International Conference on Information and Education Technology (ICIET)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123952008","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 : 2023-03-18DOI: 10.1109/ICIET56899.2023.10111191
Yanfi Yanfi, Reina Setiawan, Haryono Soeparno, W. Budiharto
Edit distance as a string measurement metric is often used to help detect misspellings in languages. This paper aims to compare two string spelling error correction algorithms for the Indonesian language. The N-gram, Jaro-Winkler distance, and Levenshtein distance algorithms are used to determine whether they can accurately correct typological errors in the Indonesian language. Moreover, this study utilized KNIME tools to process the data from beginning to end. The data was retrieved from news in Indonesia. After the experiment on N from 1 to 12, the results obtained for the comparative analysis proved that Jaro-Winkler distance performed better than Levenshtein distance for comparing smaller strings like words and names. However, Levenshtein distance performs as well as Jaro-Winkler distance started from four strings. Finally, both Jaro-Winkler distance and Levenshtein distance algorithm got the best performance accuracy for eight strings with an accuracy of 99.52 percent. The result of this study is also presented that both algorithms can support word error correction for the Indonesian language.
{"title":"Comparison of Spelling Error Correction Algorithms for the Indonesian Language","authors":"Yanfi Yanfi, Reina Setiawan, Haryono Soeparno, W. Budiharto","doi":"10.1109/ICIET56899.2023.10111191","DOIUrl":"https://doi.org/10.1109/ICIET56899.2023.10111191","url":null,"abstract":"Edit distance as a string measurement metric is often used to help detect misspellings in languages. This paper aims to compare two string spelling error correction algorithms for the Indonesian language. The N-gram, Jaro-Winkler distance, and Levenshtein distance algorithms are used to determine whether they can accurately correct typological errors in the Indonesian language. Moreover, this study utilized KNIME tools to process the data from beginning to end. The data was retrieved from news in Indonesia. After the experiment on N from 1 to 12, the results obtained for the comparative analysis proved that Jaro-Winkler distance performed better than Levenshtein distance for comparing smaller strings like words and names. However, Levenshtein distance performs as well as Jaro-Winkler distance started from four strings. Finally, both Jaro-Winkler distance and Levenshtein distance algorithm got the best performance accuracy for eight strings with an accuracy of 99.52 percent. The result of this study is also presented that both algorithms can support word error correction for the Indonesian language.","PeriodicalId":332586,"journal":{"name":"2023 11th International Conference on Information and Education Technology (ICIET)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129317156","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 : 2023-03-18DOI: 10.1109/ICIET56899.2023.10111144
Yasmina Riega-Virú, Mario E. Ninaquispe-Soto, Rocío Quiliano-Terreros, Rosa Luz Beltrán-Ponce, Harold Velazco Marmolejo
The objective of this research is to analyze the development of remote teaching regarding its impact on the teaching-learning process and the degree of satisfaction of the students of the School of Law at a private university in Lima, This is a basic research study, with a non-experimental design that describes and correlates the variables "Remote teaching", "Teaching-learning process", and "Degree of student satisfaction", Data collection was done through a virtual-form survey that was completed by a sample of 651 students, The data were processed with SPSS v,25 software for calculating Spearman's Rho coefficient, which made it possible to analyze the correlation between the variables, It was found that there is a significant positive relationship between the "Remote Teaching" variable, and the "Teaching-Learning Process" and "Degree of Satisfaction with the Educational Service" variables, noticing the relevance of the teaching role and the institutional role in achieving a positive perception in students, It was concluded that there is a positive impact of the remote teaching-learning process on the degree of satisfaction of the students participating in the study.
{"title":"Remote Teaching-learning Process and Degree of Student Satisfaction in a Private University in Lima, Peru","authors":"Yasmina Riega-Virú, Mario E. Ninaquispe-Soto, Rocío Quiliano-Terreros, Rosa Luz Beltrán-Ponce, Harold Velazco Marmolejo","doi":"10.1109/ICIET56899.2023.10111144","DOIUrl":"https://doi.org/10.1109/ICIET56899.2023.10111144","url":null,"abstract":"The objective of this research is to analyze the development of remote teaching regarding its impact on the teaching-learning process and the degree of satisfaction of the students of the School of Law at a private university in Lima, This is a basic research study, with a non-experimental design that describes and correlates the variables \"Remote teaching\", \"Teaching-learning process\", and \"Degree of student satisfaction\", Data collection was done through a virtual-form survey that was completed by a sample of 651 students, The data were processed with SPSS v,25 software for calculating Spearman's Rho coefficient, which made it possible to analyze the correlation between the variables, It was found that there is a significant positive relationship between the \"Remote Teaching\" variable, and the \"Teaching-Learning Process\" and \"Degree of Satisfaction with the Educational Service\" variables, noticing the relevance of the teaching role and the institutional role in achieving a positive perception in students, It was concluded that there is a positive impact of the remote teaching-learning process on the degree of satisfaction of the students participating in the study.","PeriodicalId":332586,"journal":{"name":"2023 11th International Conference on Information and Education Technology (ICIET)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116765752","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 : 2023-03-18DOI: 10.1109/ICIET56899.2023.10111231
Tetsuo Tanaka, M. Ueda, Hideo Kasuga, Kazuo Matsumoto
Teachers need to monitor students’ progress in coding classes, which becomes difficult when there are many students. In this study, we developed a programming exercise support system that presents students’ coding status to the teachers with the aim of improving lessons. This system provides a Web-based programming environment for students. The system accumulates the exercise numbers that students work on as operation logs, as well as the operations and results of editing, building, execution, and testing programs. In addition, it presents teachers with each student’s progress, the source code creation process, and the occurrence of errors. This system consists of functions for students, instructors in charge of seminars and teaching assistants, and course chiefs. The system currently only focuses on C language. Approximately 230 students used this system for seven weeks on two subjects taught in class. The number of logs varied from day to day, thousands to over 100,000 logs were collected and accumulated per day. Based on user comments, we evaluated the system from five viewpoints of FURPS (Functionality, Usability, Reliability, Performance, Supportability). It was confirmed that the function of "ascertaining the student's coding status," which is the purpose of this research, was achieved. Teachers can use the insights provided by our system to guide students in real time.
{"title":"Programming Exercise System to Ascertain Students’ Coding Status","authors":"Tetsuo Tanaka, M. Ueda, Hideo Kasuga, Kazuo Matsumoto","doi":"10.1109/ICIET56899.2023.10111231","DOIUrl":"https://doi.org/10.1109/ICIET56899.2023.10111231","url":null,"abstract":"Teachers need to monitor students’ progress in coding classes, which becomes difficult when there are many students. In this study, we developed a programming exercise support system that presents students’ coding status to the teachers with the aim of improving lessons. This system provides a Web-based programming environment for students. The system accumulates the exercise numbers that students work on as operation logs, as well as the operations and results of editing, building, execution, and testing programs. In addition, it presents teachers with each student’s progress, the source code creation process, and the occurrence of errors. This system consists of functions for students, instructors in charge of seminars and teaching assistants, and course chiefs. The system currently only focuses on C language. Approximately 230 students used this system for seven weeks on two subjects taught in class. The number of logs varied from day to day, thousands to over 100,000 logs were collected and accumulated per day. Based on user comments, we evaluated the system from five viewpoints of FURPS (Functionality, Usability, Reliability, Performance, Supportability). It was confirmed that the function of \"ascertaining the student's coding status,\" which is the purpose of this research, was achieved. Teachers can use the insights provided by our system to guide students in real time.","PeriodicalId":332586,"journal":{"name":"2023 11th International Conference on Information and Education Technology (ICIET)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115471713","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 : 2023-03-18DOI: 10.1109/ICIET56899.2023.10111432
Itsuki Sano, Yuanyuan Wang, Yukiko Kawai, K. Sumiya
When preparing lecture videos, teachers must record the lesson video without student response. It makes it difficult for teachers to realize if their explanations are difficult for students to understand. It is also difficult for students watching the video to realize whether they are understanding the lesson video correctly because the lesson proceeds without any questions from the instructor. In this study, three factors are used to extract "difficult-to-understand" video intervals from the lesson videos and generate assignments for these video intervals to support students’ understanding. Students can check their understanding and seems to develop their knowledge by studying the assignments generated using our method. In this paper, we calculated some values for lesson videos on the Internet and suggested that our proposed method seems to work effectively.
{"title":"A Method of Extracting Difficult-to-Understand Video Intervals for Generating Assignments using Keywords in Online Lecture Videos","authors":"Itsuki Sano, Yuanyuan Wang, Yukiko Kawai, K. Sumiya","doi":"10.1109/ICIET56899.2023.10111432","DOIUrl":"https://doi.org/10.1109/ICIET56899.2023.10111432","url":null,"abstract":"When preparing lecture videos, teachers must record the lesson video without student response. It makes it difficult for teachers to realize if their explanations are difficult for students to understand. It is also difficult for students watching the video to realize whether they are understanding the lesson video correctly because the lesson proceeds without any questions from the instructor. In this study, three factors are used to extract \"difficult-to-understand\" video intervals from the lesson videos and generate assignments for these video intervals to support students’ understanding. Students can check their understanding and seems to develop their knowledge by studying the assignments generated using our method. In this paper, we calculated some values for lesson videos on the Internet and suggested that our proposed method seems to work effectively.","PeriodicalId":332586,"journal":{"name":"2023 11th International Conference on Information and Education Technology (ICIET)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126657875","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 : 2023-03-18DOI: 10.1109/ICIET56899.2023.10111293
Jens Maiero, Christian Dominic Fehling, Sinja Müser
Interest in virtual reality (VR) is growing steadily, and it is becoming clear that VR can be beneficial in many areas of teaching and learning. There are many studies that have been conducted, didactic models have also been adapted, and there is a wide range of applications, all focusing on VR in education. Besides, there are only a few studies which explore the attitudes, requirements and wishes of teachers and students. It is important to see what lecturers want and what their ideal requirements are. Do they really want to teach in VR? What value do they see in VR? What tools are they already using and how much experience and equipment is available at universities. To answer these questions, we designed a questionnaire encompassing 3 domains with 11 subdomains and a total of 116 questions to explore the requirements, acceptance, and experiences of VR in higher education. Overall, the results (N = 170) show that 50.0% of respondents consider VR important for themselves, but 82.1% believe that VR will be important for practical use in the classroom in the future. Further key findings will be presented and discussed in the paper, and raw data will be made available to the public. In summary, it can be said that the respondents definitely see the benefit and need for VR in higher education, although lecturers and students do not always agree on certain issues.
{"title":"Does Higher Education Need Virtual Reality? A Survey","authors":"Jens Maiero, Christian Dominic Fehling, Sinja Müser","doi":"10.1109/ICIET56899.2023.10111293","DOIUrl":"https://doi.org/10.1109/ICIET56899.2023.10111293","url":null,"abstract":"Interest in virtual reality (VR) is growing steadily, and it is becoming clear that VR can be beneficial in many areas of teaching and learning. There are many studies that have been conducted, didactic models have also been adapted, and there is a wide range of applications, all focusing on VR in education. Besides, there are only a few studies which explore the attitudes, requirements and wishes of teachers and students. It is important to see what lecturers want and what their ideal requirements are. Do they really want to teach in VR? What value do they see in VR? What tools are they already using and how much experience and equipment is available at universities. To answer these questions, we designed a questionnaire encompassing 3 domains with 11 subdomains and a total of 116 questions to explore the requirements, acceptance, and experiences of VR in higher education. Overall, the results (N = 170) show that 50.0% of respondents consider VR important for themselves, but 82.1% believe that VR will be important for practical use in the classroom in the future. Further key findings will be presented and discussed in the paper, and raw data will be made available to the public. In summary, it can be said that the respondents definitely see the benefit and need for VR in higher education, although lecturers and students do not always agree on certain issues.","PeriodicalId":332586,"journal":{"name":"2023 11th International Conference on Information and Education Technology (ICIET)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129567266","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 : 2023-03-18DOI: 10.1109/ICIET56899.2023.10111488
Qiaoke Sun
This paper starts with an incisive picture of how artificial intelligence brings vigorous changes to the language service industry worldwide. After an analysis of the dynamics among the emerging technologies, translation technology education, and this technical industry, this paper examines the current dilemmas in translation technology education at Chinese higher educational institutions and then proposes feasible innovation strategies illustrated by the educational reforms typically promoted in Xi’an International Studies University as a study case. It is hoped that this research may serve as a refreshing reference for decision-makers, researchers, and educators who may be interested in translation technology education reformed under the inevitable impact of artificial intelligence.
{"title":"On Translation Technology Education at Chinese Higher Educational Institutions in the Age of Artificial Intelligence","authors":"Qiaoke Sun","doi":"10.1109/ICIET56899.2023.10111488","DOIUrl":"https://doi.org/10.1109/ICIET56899.2023.10111488","url":null,"abstract":"This paper starts with an incisive picture of how artificial intelligence brings vigorous changes to the language service industry worldwide. After an analysis of the dynamics among the emerging technologies, translation technology education, and this technical industry, this paper examines the current dilemmas in translation technology education at Chinese higher educational institutions and then proposes feasible innovation strategies illustrated by the educational reforms typically promoted in Xi’an International Studies University as a study case. It is hoped that this research may serve as a refreshing reference for decision-makers, researchers, and educators who may be interested in translation technology education reformed under the inevitable impact of artificial intelligence.","PeriodicalId":332586,"journal":{"name":"2023 11th International Conference on Information and Education Technology (ICIET)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129998813","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 : 2023-03-18DOI: 10.1109/ICIET56899.2023.10111495
Gawalee Phatai, Tidarat Luangrungruang
This study investigated the use of an neural network (NN) and metaheuristic algorithms for predictions using the Higher Education Students Performance Evaluation Dataset. An NN with the backpropagation (BP) algorithm is a widely accepted machine learning method that uses past data for prediction and classification, while metaheuristic algorithms can be used to find better subsets of input variables to import into the NN, hence enabling more accurate predictions by reducing errors. The imported data were chosen from the UCI Machine Learning Repository. MSE and MAE used to evaluate the hybrid intelligence approach with respect to reducing prediction errors. The experimental results showed that optimal efficiency was obtained using an NN with the student psychology-based optimization (SPBO) model, while competitive metaheuristic algorithms.
{"title":"A Comparative Study of Hybrid Neural Network with Metaheuristics for Student Performance Classification","authors":"Gawalee Phatai, Tidarat Luangrungruang","doi":"10.1109/ICIET56899.2023.10111495","DOIUrl":"https://doi.org/10.1109/ICIET56899.2023.10111495","url":null,"abstract":"This study investigated the use of an neural network (NN) and metaheuristic algorithms for predictions using the Higher Education Students Performance Evaluation Dataset. An NN with the backpropagation (BP) algorithm is a widely accepted machine learning method that uses past data for prediction and classification, while metaheuristic algorithms can be used to find better subsets of input variables to import into the NN, hence enabling more accurate predictions by reducing errors. The imported data were chosen from the UCI Machine Learning Repository. MSE and MAE used to evaluate the hybrid intelligence approach with respect to reducing prediction errors. The experimental results showed that optimal efficiency was obtained using an NN with the student psychology-based optimization (SPBO) model, while competitive metaheuristic algorithms.","PeriodicalId":332586,"journal":{"name":"2023 11th International Conference on Information and Education Technology (ICIET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130900613","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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