Pub Date : 2022-01-01DOI: 10.1504/ijceell.2022.126847
Zhao Wei, Z. Luo, Peng Sang, Juan Du
{"title":"Application of fuzzy AHP in the evaluation of students' cognitive ability","authors":"Zhao Wei, Z. Luo, Peng Sang, Juan Du","doi":"10.1504/ijceell.2022.126847","DOIUrl":"https://doi.org/10.1504/ijceell.2022.126847","url":null,"abstract":"","PeriodicalId":43846,"journal":{"name":"International Journal of Continuing Engineering Education and Life-Long Learning","volume":"25 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75311550","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 : 2022-01-01DOI: 10.1504/ijceell.2022.10048608
Chang-yan Lu, Hua Jiang
{"title":"Information Exchange Platform For Digital Art Teaching In Colleges And Universities Based On Internet Of Things Technology","authors":"Chang-yan Lu, Hua Jiang","doi":"10.1504/ijceell.2022.10048608","DOIUrl":"https://doi.org/10.1504/ijceell.2022.10048608","url":null,"abstract":"","PeriodicalId":43846,"journal":{"name":"International Journal of Continuing Engineering Education and Life-Long Learning","volume":"14 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78839060","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 : 2022-01-01DOI: 10.1504/IJCEELL.2022.10037639
Changdong Wu, Xiangzhen He, Hua Jiang
{"title":"Advanced and effective teaching design based on BOPPPS model","authors":"Changdong Wu, Xiangzhen He, Hua Jiang","doi":"10.1504/IJCEELL.2022.10037639","DOIUrl":"https://doi.org/10.1504/IJCEELL.2022.10037639","url":null,"abstract":"","PeriodicalId":43846,"journal":{"name":"International Journal of Continuing Engineering Education and Life-Long Learning","volume":"9 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73972992","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 : 2021-04-27DOI: 10.1504/ijceell.2022.10028552
Mei-hui Liu, Shusheng Shen, Changsheng Chen
For better adapting the course to different learners' needs, this study analysed the learners' online learning behaviours. Through using data mining technology to mine the learning behaviours from five dimensions: video watching, text reading, discussion and communication, test and assignments taking, we draw the following conclusions: the demographic characteristics of learners show that the learners are mainly composed of principals, middle-level educational managers and key teachers. The learner's general learning behaviour characteristics are mainly expressed by the facts that the learners' interest in practical cases, and few participants can last more than four weeks, and the learners like videos and texts but they do not like to speak in the discussion forum. Learners can be divided into three clusters: certificate-oriented learners, practice oriented learners and browsers. The value of MOOC should not be evaluated on the basis of certification rates but on whether the learner's learning needs are met.
{"title":"Analysis of the learners' learning behaviours in MOOC informationisation leadership","authors":"Mei-hui Liu, Shusheng Shen, Changsheng Chen","doi":"10.1504/ijceell.2022.10028552","DOIUrl":"https://doi.org/10.1504/ijceell.2022.10028552","url":null,"abstract":"For better adapting the course to different learners' needs, this study analysed the learners' online learning behaviours. Through using data mining technology to mine the learning behaviours from five dimensions: video watching, text reading, discussion and communication, test and assignments taking, we draw the following conclusions: the demographic characteristics of learners show that the learners are mainly composed of principals, middle-level educational managers and key teachers. The learner's general learning behaviour characteristics are mainly expressed by the facts that the learners' interest in practical cases, and few participants can last more than four weeks, and the learners like videos and texts but they do not like to speak in the discussion forum. Learners can be divided into three clusters: certificate-oriented learners, practice oriented learners and browsers. The value of MOOC should not be evaluated on the basis of certification rates but on whether the learner's learning needs are met.","PeriodicalId":43846,"journal":{"name":"International Journal of Continuing Engineering Education and Life-Long Learning","volume":"28 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2021-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83672441","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}
To efficiently convey information and optimise teaching effect, it is necessary to design and develop high-quality online learning materials. To determine the different learning effect of with and without an instructor, this study selects three types of data: test data, eye movement data and questionnaire and interview data. A few primary results of this study are: 1) instructors have no significant impact on learners' conceptual learning grades of declarative knowledge; 2) there is no significant difference in learners' performance of viewing area, but there is a difference in their performance of teachers area; 3) through comprehensive questionnaire and interview data analysis, there is no significant difference in learners' learning experience of conceptual learning in declarative knowledge video with and without an instructor. This study provides a reference for designing and developing online video lectures. When designing the video lectures of conceptual learning, it can adopt instructor-free way considering saving time and cost.
{"title":"Research on the influence of instructor image on the learning effect of conceptual learning videos","authors":"Xiaojing Wang, Su Mu, Dongmei Tang, Huiqun Wen, Yanjie Zhou, Jing Dong","doi":"10.1504/ijceell.2022.10028918","DOIUrl":"https://doi.org/10.1504/ijceell.2022.10028918","url":null,"abstract":"To efficiently convey information and optimise teaching effect, it is necessary to design and develop high-quality online learning materials. To determine the different learning effect of with and without an instructor, this study selects three types of data: test data, eye movement data and questionnaire and interview data. A few primary results of this study are: 1) instructors have no significant impact on learners' conceptual learning grades of declarative knowledge; 2) there is no significant difference in learners' performance of viewing area, but there is a difference in their performance of teachers area; 3) through comprehensive questionnaire and interview data analysis, there is no significant difference in learners' learning experience of conceptual learning in declarative knowledge video with and without an instructor. This study provides a reference for designing and developing online video lectures. When designing the video lectures of conceptual learning, it can adopt instructor-free way considering saving time and cost.","PeriodicalId":43846,"journal":{"name":"International Journal of Continuing Engineering Education and Life-Long Learning","volume":"1 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2021-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83543428","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 : 2021-04-27DOI: 10.1504/ijceell.2021.116007
Qiyun Wang
Blended synchronous learning (BSL) has the potential to combine the advantages of classroom instruction and online learning. In this study, BSL was designed and implemented from the pedagogical, social, technical, and managerial aspects. This paper presents how BSL was prepared and designed before a lesson, implemented during the lesson, and improved after the lesson from the instructor's perspective. The results showed that the instructor needed to adjust certain learning activities before a lesson. He was often cognitively overloaded and having difficulties in monitoring the participation and engagement of the online students during the lesson. The design and implementation of BSL was gradually improved through reflections after the lesson. Implications for teachers who intend to apply this approach are discussed.
{"title":"Design for blended synchronous learning: the instructor's perspective","authors":"Qiyun Wang","doi":"10.1504/ijceell.2021.116007","DOIUrl":"https://doi.org/10.1504/ijceell.2021.116007","url":null,"abstract":"Blended synchronous learning (BSL) has the potential to combine the advantages of classroom instruction and online learning. In this study, BSL was designed and implemented from the pedagogical, social, technical, and managerial aspects. This paper presents how BSL was prepared and designed before a lesson, implemented during the lesson, and improved after the lesson from the instructor's perspective. The results showed that the instructor needed to adjust certain learning activities before a lesson. He was often cognitively overloaded and having difficulties in monitoring the participation and engagement of the online students during the lesson. The design and implementation of BSL was gradually improved through reflections after the lesson. Implications for teachers who intend to apply this approach are discussed.","PeriodicalId":43846,"journal":{"name":"International Journal of Continuing Engineering Education and Life-Long Learning","volume":"14 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2021-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80049968","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 : 2021-02-10DOI: 10.1504/ijceell.2022.10027338
Lei Liu
In order to improve the accuracy and efficiency of teaching knowledge classification matching, a method of teaching knowledge classification matching based on intelligent language recognition is proposed. The deep learning network was constructed, the language files were pre-processed, and the extracted language feature vectors were used to train the network and optimise the deep learning network. The intelligent language recognition network model is established and the k-means clustering algorithm is used to acquire the model. Classification of teaching knowledge is processed centrally and the classification system of teaching knowledge is obtained. Matching problem of teaching knowledge classification system is modelled, and the corresponding undirected graph is constructed, which is converted into the matching problem with the greatest weight, and the optimal matching scheme under the category of teaching knowledge concentration is obtained. Experimental results show that the matching results based on intelligent language recognition are more accurate and more efficient.
{"title":"Research on centralised matching method of teaching knowledge categories based on intelligent language recognition","authors":"Lei Liu","doi":"10.1504/ijceell.2022.10027338","DOIUrl":"https://doi.org/10.1504/ijceell.2022.10027338","url":null,"abstract":"In order to improve the accuracy and efficiency of teaching knowledge classification matching, a method of teaching knowledge classification matching based on intelligent language recognition is proposed. The deep learning network was constructed, the language files were pre-processed, and the extracted language feature vectors were used to train the network and optimise the deep learning network. The intelligent language recognition network model is established and the k-means clustering algorithm is used to acquire the model. Classification of teaching knowledge is processed centrally and the classification system of teaching knowledge is obtained. Matching problem of teaching knowledge classification system is modelled, and the corresponding undirected graph is constructed, which is converted into the matching problem with the greatest weight, and the optimal matching scheme under the category of teaching knowledge concentration is obtained. Experimental results show that the matching results based on intelligent language recognition are more accurate and more efficient.","PeriodicalId":43846,"journal":{"name":"International Journal of Continuing Engineering Education and Life-Long Learning","volume":"2 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2021-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88446595","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 : 2021-02-10DOI: 10.1504/ijceell.2022.10027342
Lanlan Liu, Qiang Yu
In order to overcome the inaccuracy of the current research results of online classroom question-answering classification, a method of online classroom question-answering classification based on natural language processing technology is proposed. The entity relationship model of the network classroom question answering system is constructed, and the model is transformed into the relational data model, the network classroom question answering database is constructed. TF-IDF technology is used to extract curriculum keywords, construct attribute word set, use natural language processing technology to segment students' questions reasonably in the network classroom, convert the words into vectors, calculate the question similarity according to cosine theorem, and then return the answers with the highest degree of similarity to students in the same type of questions. Experimental results show that the classification accuracy of the proposed method is always above 96%, and the user satisfaction is above 94%, with high classification accuracy and user satisfaction.
{"title":"Research on classification method of answering questions in network classroom based on natural language processing technology","authors":"Lanlan Liu, Qiang Yu","doi":"10.1504/ijceell.2022.10027342","DOIUrl":"https://doi.org/10.1504/ijceell.2022.10027342","url":null,"abstract":"In order to overcome the inaccuracy of the current research results of online classroom question-answering classification, a method of online classroom question-answering classification based on natural language processing technology is proposed. The entity relationship model of the network classroom question answering system is constructed, and the model is transformed into the relational data model, the network classroom question answering database is constructed. TF-IDF technology is used to extract curriculum keywords, construct attribute word set, use natural language processing technology to segment students' questions reasonably in the network classroom, convert the words into vectors, calculate the question similarity according to cosine theorem, and then return the answers with the highest degree of similarity to students in the same type of questions. Experimental results show that the classification accuracy of the proposed method is always above 96%, and the user satisfaction is above 94%, with high classification accuracy and user satisfaction.","PeriodicalId":43846,"journal":{"name":"International Journal of Continuing Engineering Education and Life-Long Learning","volume":"70 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2021-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80916776","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 : 2021-02-10DOI: 10.1504/ijceell.2022.10027335
Jingna Qiu
In order to overcome the inaccuracy of foreign language listening assessment and the limitations of the assessment process, a model of foreign language listening ability assessment assisted by mobile devices based on neural network is proposed. Aiming at the characteristics of mobile devices, this paper applies artificial intelligence technology to foreign language listening ability assessment, and mining relevant data. BP network learning ability, nonlinear processing ability and fault tolerance ability are set as the assessment indicators of foreign language listening ability. A model of foreign language listening ability assessment assisted by mobile devices based on neural network is established, and the intelligent assessment of foreign language listening ability is realised through the model. The simulation results show that the proposed method can quickly and accurately evaluate the user's foreign language listening ability.
{"title":"A model of foreign language listening ability assessment assisted by mobile devices based on neural network","authors":"Jingna Qiu","doi":"10.1504/ijceell.2022.10027335","DOIUrl":"https://doi.org/10.1504/ijceell.2022.10027335","url":null,"abstract":"In order to overcome the inaccuracy of foreign language listening assessment and the limitations of the assessment process, a model of foreign language listening ability assessment assisted by mobile devices based on neural network is proposed. Aiming at the characteristics of mobile devices, this paper applies artificial intelligence technology to foreign language listening ability assessment, and mining relevant data. BP network learning ability, nonlinear processing ability and fault tolerance ability are set as the assessment indicators of foreign language listening ability. A model of foreign language listening ability assessment assisted by mobile devices based on neural network is established, and the intelligent assessment of foreign language listening ability is realised through the model. The simulation results show that the proposed method can quickly and accurately evaluate the user's foreign language listening ability.","PeriodicalId":43846,"journal":{"name":"International Journal of Continuing Engineering Education and Life-Long Learning","volume":"73 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2021-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88156230","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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