It is important for Saudi Arabian teachers to develop transformational communication skills so they can communicate information effectively. In the midst of the COVID-19 pandemic, Saudi Arabian teachers played a crucial role in maintaining education activities. The study examined teachers' behavioral intentions regarding the use of learning management systems (Madrasati). UTAUT can be used to determine individuals' technological intentions and behaviors. Descriptive and inferential statistics were calculated from a survey of 100 teachers. Statistically significant correlations were found for dependencies, performance expectations, effort expectations, voluntariness, social influence, and facilitating conditions. Furthermore, there is no significant difference between males and females in behavioral intentions. Additionally, age, experience, and behavioral traits do not contribute significantly to behavioral intention to use Madrasati. Learning management systems are used for a variety of reasons, and this study offers empirical evidence supporting these reasons.
{"title":"Factors Determining the Need for LMS in Saudi Arabia","authors":"Ali Almashyakhi, Talal Ali Abozandah","doi":"10.4018/ijwltt.330989","DOIUrl":"https://doi.org/10.4018/ijwltt.330989","url":null,"abstract":"It is important for Saudi Arabian teachers to develop transformational communication skills so they can communicate information effectively. In the midst of the COVID-19 pandemic, Saudi Arabian teachers played a crucial role in maintaining education activities. The study examined teachers' behavioral intentions regarding the use of learning management systems (Madrasati). UTAUT can be used to determine individuals' technological intentions and behaviors. Descriptive and inferential statistics were calculated from a survey of 100 teachers. Statistically significant correlations were found for dependencies, performance expectations, effort expectations, voluntariness, social influence, and facilitating conditions. Furthermore, there is no significant difference between males and females in behavioral intentions. Additionally, age, experience, and behavioral traits do not contribute significantly to behavioral intention to use Madrasati. Learning management systems are used for a variety of reasons, and this study offers empirical evidence supporting these reasons.","PeriodicalId":39282,"journal":{"name":"International Journal of Web-Based Learning and Teaching Technologies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135535695","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 listening multimedia teaching courseware has the characteristics of both illustration and text, sound, and shape and provides a variety of possibilities for modern English listening teaching methods. Considering students' unique psychological characteristics such as strong self-awareness, physiological characteristics such as strong abstract thinking ability, and relevant theories such as schema theory and constructivism, this paper proposes that high school English listening multimedia teaching courseware can be innovative in many aspects. Multimedia is more and more widely used in the society, and the combination of multimedia and teaching is getting closer and closer. Through multimedia teaching, more teachers' resources are integrated, and students' extracurricular knowledge is broadened. This combination of multimedia and teachers achieves a different teaching effect than before. Due to its graphic, audio, and visual characteristics, it provides a variety of possibilities for modern English listening teaching methods.
{"title":"New Age Information Fusion Technology-Based Unique Multimedia Teaching Methods for English","authors":"Wen Zou","doi":"10.4018/ijwltt.330915","DOIUrl":"https://doi.org/10.4018/ijwltt.330915","url":null,"abstract":"English listening multimedia teaching courseware has the characteristics of both illustration and text, sound, and shape and provides a variety of possibilities for modern English listening teaching methods. Considering students' unique psychological characteristics such as strong self-awareness, physiological characteristics such as strong abstract thinking ability, and relevant theories such as schema theory and constructivism, this paper proposes that high school English listening multimedia teaching courseware can be innovative in many aspects. Multimedia is more and more widely used in the society, and the combination of multimedia and teaching is getting closer and closer. Through multimedia teaching, more teachers' resources are integrated, and students' extracurricular knowledge is broadened. This combination of multimedia and teachers achieves a different teaching effect than before. Due to its graphic, audio, and visual characteristics, it provides a variety of possibilities for modern English listening teaching methods.","PeriodicalId":39282,"journal":{"name":"International Journal of Web-Based Learning and Teaching Technologies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134885997","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study highlights the most pertinent m-learning content quality features that should be considered by designers from the point of view of experts to determine students' perceptions about suggested quality features and to measure any statistically significant differences in students' perceptions due to their gender and technological skills. An exploratory sequential mixed research method was employed. A group of 20 experts in m-learning answered an open-ended question for the qualitative part, and a questionnaire with 31 items was answered by a purposeful sample of 200 students out of the entire population of 312 from seven Jordanian universities. The results revealed a list of content quality features. The overall perception of students was high with a mean of 4.15 and no statistically significant differences in students' perceptions due to their gender and technological skills. The study recommended studying the effectiveness of m-learning content features in Jordanian higher education institutions.
{"title":"Instructional Design in Modern Environments","authors":"Sanaa Yacoub Banat, Fatima Abd-Alkareem Wahba","doi":"10.4018/ijwltt.330757","DOIUrl":"https://doi.org/10.4018/ijwltt.330757","url":null,"abstract":"This study highlights the most pertinent m-learning content quality features that should be considered by designers from the point of view of experts to determine students' perceptions about suggested quality features and to measure any statistically significant differences in students' perceptions due to their gender and technological skills. An exploratory sequential mixed research method was employed. A group of 20 experts in m-learning answered an open-ended question for the qualitative part, and a questionnaire with 31 items was answered by a purposeful sample of 200 students out of the entire population of 312 from seven Jordanian universities. The results revealed a list of content quality features. The overall perception of students was high with a mean of 4.15 and no statistically significant differences in students' perceptions due to their gender and technological skills. The study recommended studying the effectiveness of m-learning content features in Jordanian higher education institutions.","PeriodicalId":39282,"journal":{"name":"International Journal of Web-Based Learning and Teaching Technologies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134886135","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}
College English teaching should give full play to the important role of network resources, implement the student-centered network autonomous learning model, and give full play to learners' autonomous learning potential. At present, although some universities have tried this new model, its application in college English lacks practical research. Only by establishing an intelligent English teaching platform based on big multimedia data technology can big multimedia data play an important role in college English teaching. Based on the analysis of the current situation of English classroom teaching in colleges and universities in China, this article puts forward the corresponding optimization plan according to the existing better teaching experience and the “suiting measures to local conditions” model. Large multimedia data technology provides a convenient learning platform and learning space for English learners, and a very convenient learning environment and learning platform for users with English learning needs.
{"title":"Design of a College English Smart Teaching Platform Based on Big Multimedia Data Technology","authors":"Shanshan Yan, Jiajia Liu","doi":"10.4018/ijwltt.330676","DOIUrl":"https://doi.org/10.4018/ijwltt.330676","url":null,"abstract":"College English teaching should give full play to the important role of network resources, implement the student-centered network autonomous learning model, and give full play to learners' autonomous learning potential. At present, although some universities have tried this new model, its application in college English lacks practical research. Only by establishing an intelligent English teaching platform based on big multimedia data technology can big multimedia data play an important role in college English teaching. Based on the analysis of the current situation of English classroom teaching in colleges and universities in China, this article puts forward the corresponding optimization plan according to the existing better teaching experience and the “suiting measures to local conditions” model. Large multimedia data technology provides a convenient learning platform and learning space for English learners, and a very convenient learning environment and learning platform for users with English learning needs.","PeriodicalId":39282,"journal":{"name":"International Journal of Web-Based Learning and Teaching Technologies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135814882","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}
College piano teaching with multimedia technology has the characteristics of more intuitive teaching content and more convenient teaching methods. It has a significant auxiliary role in improving the teaching effect and cultivating personalized music talents. Therefore, educational circles and music festivals at home and abroad have also conducted corresponding research on the application of multimedia technology. On the basis of investigating the current situation of piano education at home and abroad, this article summarizes the background significance of the development and application of multimedia technology, and points out the shortcomings of existing multimedia applications. This article analyzes the possible problems in the application of piano education in colleges and universities. Finally, it discusses the innovative application and development prospects of multimedia technology in piano teaching in colleges and universities, and analyzes the key problems that need to be solved in the implementation of multimedia technology in piano teaching.
{"title":"College Piano Teaching Based on Multimedia Technology","authors":"Jing Yang, Young Gook Jung","doi":"10.4018/ijwltt.330677","DOIUrl":"https://doi.org/10.4018/ijwltt.330677","url":null,"abstract":"College piano teaching with multimedia technology has the characteristics of more intuitive teaching content and more convenient teaching methods. It has a significant auxiliary role in improving the teaching effect and cultivating personalized music talents. Therefore, educational circles and music festivals at home and abroad have also conducted corresponding research on the application of multimedia technology. On the basis of investigating the current situation of piano education at home and abroad, this article summarizes the background significance of the development and application of multimedia technology, and points out the shortcomings of existing multimedia applications. This article analyzes the possible problems in the application of piano education in colleges and universities. Finally, it discusses the innovative application and development prospects of multimedia technology in piano teaching in colleges and universities, and analyzes the key problems that need to be solved in the implementation of multimedia technology in piano teaching.","PeriodicalId":39282,"journal":{"name":"International Journal of Web-Based Learning and Teaching Technologies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135814886","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}
Relying on the nation's first judicial big data research base for people's courts in Southeast University, Southeast University Law School has set up a training direction for graduate students in legal big data and artificial intelligence, and explored the “three-dimensional, small-scale, wide-ranging, and large-scale ecology.” The concept of “meta-integration” of legal postgraduate talent training will build a “four-in-one” legal big data and artificial intelligence postgraduate talent training system, so that the leading position of legal big data and artificial intelligence in leading disciplines will be gradually established, and the training effect of leading talents will be established. In addition, the establishment of a teaching feedback mechanism can also provide important guidance for how to improve artificial intelligence in legal education. This paper applies the data mining technology to the legal education in colleges and universities and comprehensively expounds the basic theories and methods of data mining.
{"title":"Innovation of Law Education Model in Applied Colleges and Universities Based on Big Data and Artificial Intelligence","authors":"Quan Yuan, Lin Lv, Yolanda Cordero","doi":"10.4018/ijwltt.330428","DOIUrl":"https://doi.org/10.4018/ijwltt.330428","url":null,"abstract":"Relying on the nation's first judicial big data research base for people's courts in Southeast University, Southeast University Law School has set up a training direction for graduate students in legal big data and artificial intelligence, and explored the “three-dimensional, small-scale, wide-ranging, and large-scale ecology.” The concept of “meta-integration” of legal postgraduate talent training will build a “four-in-one” legal big data and artificial intelligence postgraduate talent training system, so that the leading position of legal big data and artificial intelligence in leading disciplines will be gradually established, and the training effect of leading talents will be established. In addition, the establishment of a teaching feedback mechanism can also provide important guidance for how to improve artificial intelligence in legal education. This paper applies the data mining technology to the legal education in colleges and universities and comprehensively expounds the basic theories and methods of data mining.","PeriodicalId":39282,"journal":{"name":"International Journal of Web-Based Learning and Teaching Technologies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136130979","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}
Applying multimedia technology to college music teaching can directly present some abstract knowledge to students. This not only breaks the limitation of traditional teaching time and space, but also enriches the teaching content and improves the teaching quality. Therefore, it is very important to change the teaching concept, actively practice and explore, and seek a new teaching mode. This article deeply analyzes the application of multimedia in college music classroom teaching, the role and position of multimedia in music teaching, compares the advantages and limitations of multimedia technology with other educational technologies in music classroom teaching, and explains multimedia educational technology. Combined with teaching practice and courseware development, this article analyzes the application status of multimedia technology in middle schools, and demonstrates the position and role of multimedia teaching methods in music classroom from both teachers and students, so as to provide some references for the reform of music education in colleges and universities.
{"title":"On the Gains and Losses of Multimedia-Assisted Instruction Technology in College Music Teaching Practice","authors":"Dalei Feng","doi":"10.4018/ijwltt.330646","DOIUrl":"https://doi.org/10.4018/ijwltt.330646","url":null,"abstract":"Applying multimedia technology to college music teaching can directly present some abstract knowledge to students. This not only breaks the limitation of traditional teaching time and space, but also enriches the teaching content and improves the teaching quality. Therefore, it is very important to change the teaching concept, actively practice and explore, and seek a new teaching mode. This article deeply analyzes the application of multimedia in college music classroom teaching, the role and position of multimedia in music teaching, compares the advantages and limitations of multimedia technology with other educational technologies in music classroom teaching, and explains multimedia educational technology. Combined with teaching practice and courseware development, this article analyzes the application status of multimedia technology in middle schools, and demonstrates the position and role of multimedia teaching methods in music classroom from both teachers and students, so as to provide some references for the reform of music education in colleges and universities.","PeriodicalId":39282,"journal":{"name":"International Journal of Web-Based Learning and Teaching Technologies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136130403","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}
Chunye Zhang, Tianyue Yu, Yingqi Gao, Mau Luen Tham
In the context of artificial intelligence, the use of machine translation in English reading classroom teaching is a more common learning method. In traditional teaching methods, machine translation is more convenient and faster than human translation, but it often deviates from the original text in terms of grammar and sentence pattern. Based on the perspective of English reading class, this paper compares traditional and machine translation, and discusses the future development trend and influence mechanism of the current situation of using machine translation in English reading class under the effect of artificial intelligence.
{"title":"Design of a Smart Teaching English Translation System Based on Big Data Machine Learning","authors":"Chunye Zhang, Tianyue Yu, Yingqi Gao, Mau Luen Tham","doi":"10.4018/ijwltt.330144","DOIUrl":"https://doi.org/10.4018/ijwltt.330144","url":null,"abstract":"In the context of artificial intelligence, the use of machine translation in English reading classroom teaching is a more common learning method. In traditional teaching methods, machine translation is more convenient and faster than human translation, but it often deviates from the original text in terms of grammar and sentence pattern. Based on the perspective of English reading class, this paper compares traditional and machine translation, and discusses the future development trend and influence mechanism of the current situation of using machine translation in English reading class under the effect of artificial intelligence.","PeriodicalId":39282,"journal":{"name":"International Journal of Web-Based Learning and Teaching Technologies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135878478","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}
In order to study the big data of college students' employment, this paper takes the big data of college students' employment as the premise, analyzes the current employment data by establishing a DBN model, and puts forward relevant management measures, aiming to provide scientific basis for the management of graduates' employment data. The results are as follows: By comparing the application evaluation of linear regression method, BP neural network and DBN model, this paper finds that DBN model has better accuracy and lower error and has better advantages in the application of college students' employment data management characteristics. In addition, the development of social economy and the number of college graduates are the key factors for the employment rate of college students. Therefore, this paper suggests that through the use of big data technology, college will build a data platform for college students' employment management and provide a carrier for college students to obtain professional information and employment management information.
{"title":"Big Data Analysis and Modeling Method of College Student Employment Management Based on Deep Learning Model","authors":"Yibei Yin","doi":"10.4018/ijwltt.330245","DOIUrl":"https://doi.org/10.4018/ijwltt.330245","url":null,"abstract":"In order to study the big data of college students' employment, this paper takes the big data of college students' employment as the premise, analyzes the current employment data by establishing a DBN model, and puts forward relevant management measures, aiming to provide scientific basis for the management of graduates' employment data. The results are as follows: By comparing the application evaluation of linear regression method, BP neural network and DBN model, this paper finds that DBN model has better accuracy and lower error and has better advantages in the application of college students' employment data management characteristics. In addition, the development of social economy and the number of college graduates are the key factors for the employment rate of college students. Therefore, this paper suggests that through the use of big data technology, college will build a data platform for college students' employment management and provide a carrier for college students to obtain professional information and employment management information.","PeriodicalId":39282,"journal":{"name":"International Journal of Web-Based Learning and Teaching Technologies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135826337","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
With the advent of the big data internet era, the corresponding multimedia technology is also developing. At the same time, as an important place for students to improve their cognitive level and expand their knowledge coverage, the construction of knowledge and information in university libraries will have an important impact on the growth of students and the development of the library itself. Big data not only brings specific challenges to the intelligent information construction of libraries, but also provides opportunities for the further development of intelligent information construction. Therefore, this paper aims to analyze the intelligent informatization construction of university libraries in the multimedia big data environment, make suggestions for the further development of library intelligent informatization construction, and provide reference materials for library intelligent informatization construction.
{"title":"Intelligent Informatization Construction of University Libraries in the Environment of Multimedia Big Data","authors":"Nan Pang, Charles Crook","doi":"10.4018/ijwltt.330244","DOIUrl":"https://doi.org/10.4018/ijwltt.330244","url":null,"abstract":"With the advent of the big data internet era, the corresponding multimedia technology is also developing. At the same time, as an important place for students to improve their cognitive level and expand their knowledge coverage, the construction of knowledge and information in university libraries will have an important impact on the growth of students and the development of the library itself. Big data not only brings specific challenges to the intelligent information construction of libraries, but also provides opportunities for the further development of intelligent information construction. Therefore, this paper aims to analyze the intelligent informatization construction of university libraries in the multimedia big data environment, make suggestions for the further development of library intelligent informatization construction, and provide reference materials for library intelligent informatization construction.","PeriodicalId":39282,"journal":{"name":"International Journal of Web-Based Learning and Teaching Technologies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135826341","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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