Samer Rihawi, Samar Mouti, Roznim Mohamed Rasli, S. Ariffin
{"title":"Virtual Teaching Assistant for Capturing Facial and Pose Landmarks of the Students in the Classroom Using Deep Learning","authors":"Samer Rihawi, Samar Mouti, Roznim Mohamed Rasli, S. Ariffin","doi":"10.4018/ijec.316663","DOIUrl":"https://doi.org/10.4018/ijec.316663","url":null,"abstract":"This research focuses on the learning challenges that both students and teachers face during the learning process. It addresses the different techniques and methods used for face recognition. The proposed VTA model uses the convolutional neural networks to recognize the identities of the student. It gathers the facial expressions and body poses of each student in the classroom and predicts the attention level of that student, thus determining his/her learning capabilities. This research will help the students achieve their learning objectives by being able to get an accurate and real evaluation of their contribution and attention during the classes. Also, the proposed VTA model helps the teacher get some insight into his/her teaching methodologies during the class as the model will observe and record the attentiveness of the students. This research will have a significant positive impact on student success and on effective lecturing.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"2 1","pages":"1-12"},"PeriodicalIF":0.0,"publicationDate":"2023-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88985615","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Role of Total Quality Management in Digital Literacy for Management Institutes of Odisha","authors":"Pritidhara Hota, B. Nayak, S. Mishra","doi":"10.4018/ijec.316775","DOIUrl":"https://doi.org/10.4018/ijec.316775","url":null,"abstract":"In every country's higher education, the management education bears special importance to shape the growth and development of the country as the managers who are the end product of the management institutes take the major responsibilities of making any organization success or failure. This paper explores the role of different stakeholders, specifically the external stakeholders, in implementing total quality management in management institutes. This study identifies the major external stakeholders of the management study and uses an empirical survey taking all the external stakeholders as the unit of the survey. For a collection of data, a total of 40 questions were asked, which come under eight major factors. The principal component methods (PCA) and ANOVA test are used for the data analysis. The result shows the positive impact of different components of TQM on external stakeholders. To ensure quality from the external stakeholder perspective, every management institute has to think about building a quality culture in the organization involving everyone.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"20 1","pages":"1-18"},"PeriodicalIF":0.0,"publicationDate":"2023-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86017319","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Recognition Method of Sports Training Based on Intelligent Information Platform","authors":"Jianhua Bu, Dawei Yao, Chengmin Wang","doi":"10.4018/ijec.316872","DOIUrl":"https://doi.org/10.4018/ijec.316872","url":null,"abstract":"With the wide development of sports nowadays, many kinds of sport applications have appeared and changed the living styles of people all around the world. There are many factors that are important for sports, such as the environment and exercise. At present, there are still some shortcomings in sports training management all around the world. For example, the unscientific is unclear, the training purpose is not strong, and the assistant decision-making means are backward. In this way, these issues jointly make the sport training process difficult. In this way, this paper applies the multi-agent technology to the system, designs an intelligent information sports training management and recognition method based on intelligent agents, and carries on the concrete implementation in certain environments. The corresponding experimental results indicate that the accuracy and intelligence of the training recognition system can be improved greatly and effectively.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"44 1","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2023-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75260573","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Research for the Relationship Between the Motivation of Word-of-Mouth and the Effect of Advertising on the Web","authors":"Fengyi Ji, S. Lin","doi":"10.4018/ijec.316661","DOIUrl":"https://doi.org/10.4018/ijec.316661","url":null,"abstract":"This paper aims at studying the relationship between motivation of word of mouth and advertising's effect on the web (research materials: 300 pieces of scanner advertisements on the web). After factor analysis, nine factors are abstracted: emotion share, rewards, personal entertainment, community development, service improvement, community power, information rewards, punish/support businessman, self-image improvement. After regression analysis, model is established as follows: Y = 0.224 emotion share + 0.250 community development + 0.117 service improvement + 0.222 information rewards + 0.165 punish/support businessman.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"29 1","pages":"1-10"},"PeriodicalIF":0.0,"publicationDate":"2023-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82850634","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Classification of English Educational Resources Information Based on Mobile Learning Using Cognitive Web Service","authors":"Lili Liu","doi":"10.4018/ijec.316657","DOIUrl":"https://doi.org/10.4018/ijec.316657","url":null,"abstract":"English proficiency is increasingly vital in the modern globalized and competitive world, especially for jobs that need cross-cultural communication. Using online educational tools wisely leads to improved English proficiency. Digital learning tools are constantly being improved owing to the emergence of new technologies. An essential problem in academic circles is categorizing and assisting in investigating different forms of digital learning resources. This research proposes an efficient intelligent system for the classification of English educational resources information based on mobile learning (CEERI-ML). The suggested design classifies English educational resources into different categories, applying a Classification based on Marzano and Kendall Taxonomy (CMKT). The system further implements a Classification based on Gagne Learning Categorization Theory (CGLCT) to classify the different levels of complexity in learning.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"15 1","pages":"1-19"},"PeriodicalIF":0.0,"publicationDate":"2023-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81937521","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Arrhythmia Classification Based on Bi-Directional Long Short-Term Memory and Multi-Task Group Method","authors":"Shaik Munawar, Geetha Angappan, Srinivas Konda","doi":"10.4018/ijec.315791","DOIUrl":"https://doi.org/10.4018/ijec.315791","url":null,"abstract":"Early and accurate classification of arrhythmia helps the experts to select the treatment for the patient to increase the recovery rate. The deep learning method of convolution neural network (CNN) is used for classification, and this has an overfitting problem. In this research, the multi-task group bi-directional long short term memory (MTGBi-LSTM) method is proposed to increases the performance of arrhythmia classification. The multi-task learning technique learns two ECG signals in shared representation for effective learning. The global and intra LSTM method selects the relevant feature and easily escapes from local optima. The MTGBi-LSTM model learns the unique features in shared representation that helps to overcome overfitting problem and increases the learning rate of the model. The MTGBi-LSTM model in arrhythmia classification is evaluated on MIT-BIH dataset. The MTGBi-LSTM model has 96.48% accuracy, 97.73% sensitivity, existing AFibNet has 96.36% accuracy, and 93.65% sensitivity for arrhythmia classification in CPSC 2018 dataset.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"63 1","pages":"1-18"},"PeriodicalIF":0.0,"publicationDate":"2023-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84737293","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Web Mining Techniques - A Framework to Enhance Customer Retention","authors":"Shimaa Ouf, Y. Helmy, M. Ashraf","doi":"10.4018/ijec.315790","DOIUrl":"https://doi.org/10.4018/ijec.315790","url":null,"abstract":"In e-commerce, retaining customers on the web is a difficult task that requires a good understanding of customers' behavior to be able to predict their needs and interests. Web usage mining (WUM), which is the application of data mining techniques to improve business, helps in understanding customers' behavior on the web. Therefore, this paper proposes and implements a framework to enhance the quality of customer recommendations. Providing customers with what they are looking for helps increase their satisfaction, which will lead to improved retention with the company. The proposed framework was tested and evaluated. The result of testing the proposed framework illustrates that the recommendations based on merged techniques (like clustering, classification, association, and sequential discovery) achieve strong accuracy with a precision value of 74%, coverage of 100%, and an average overall efficiency of F-measure of 86%. which means that the merged technique outperformed each technique and attained much higher overall coverage.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"16 1","pages":"1-30"},"PeriodicalIF":0.0,"publicationDate":"2023-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89344181","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Addressing Noise and Class Imbalance Problems in Heterogeneous Cross-Project Defect Prediction: An Empirical Study","authors":"Rohit Vashisht, S. Rizvi","doi":"10.4018/ijec.315777","DOIUrl":"https://doi.org/10.4018/ijec.315777","url":null,"abstract":"When a software project either lacks adequate historical data to build a defect prediction (DP) model or is in the initial phases of development, the DP model based on related source project's defect data might be used. This kind of SDP is categorized as heterogeneous cross-project defect prediction (HCPDP). According to a comprehensive literature review, no research has been done in the field of CPDP to deal with noise and class imbalance problem (CIP) at the same time. In this paper, the impact of noise and imbalanced data on the efficiency of the HCPDP and with-in project defect prediction (WPDP) model is examined empirically and conceptually using four different classification algorithms. In addition, CIP is handled using a novel technique known as chunk balancing algorithm (CBA). Ten prediction combinations from three open-source projects are used in the experimental investigation. The findings show that noise in an imbalanced dataset has a significant impact on defect prediction accuracy.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"70 1","pages":"1-27"},"PeriodicalIF":0.0,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82794434","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}
Md. Shamim Hossain, Nirufer Yesmin, Nusrat Jahan, S. Reza
{"title":"Effect of Social Presence on Behavioral Intention to Social Commerce Through Online Social Capital","authors":"Md. Shamim Hossain, Nirufer Yesmin, Nusrat Jahan, S. Reza","doi":"10.4018/ijec.315779","DOIUrl":"https://doi.org/10.4018/ijec.315779","url":null,"abstract":"This research aims to observe how social presence influences online social capital and the behavioral intention of social commerce (s-commerce). The online survey with a structured questionnaire is used to collect data and analyzed by a structural equation model (SEM). The authors found that social presence is directly connected with online social capital (bonding and bridging). Social presence is not meaningfully connected to s-commerce intention (sharing and shopping), but the cluster model argues that social presence has a significant connection with social sharing and shopping intention. Online social capital and s-commerce intention are positively related to social interaction, and the results also confirmed that social capital is a complementary mediator. The paper provides different research instructions and guidelines for consumers and scholars. They offer a user-preferred s-commerce environment that is related to helping enterprise proprietors provide personalized services and supporting clients to acquire precious purchase-related information.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"522 1","pages":"1-23"},"PeriodicalIF":0.0,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80121771","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"3DVL@ES: A 3D Web-Based Virtual Laboratory for Collaborative Learning in Experimental Science Practical Work","authors":"A. Douar, M. Djoudi, Saad Harous, A. Alti","doi":"10.4018/ijec.315786","DOIUrl":"https://doi.org/10.4018/ijec.315786","url":null,"abstract":"This paper introduces a virtual laboratory that aims to support the quick development and easy assimilation of practical works by learners and exchange documents between them via a shared virtual space. The proposed laboratory, named 3DVL@ES (web-based 3D virtual laboratory in experimental science), defines an agile design process to automatically generate 3D pedagogical web applications and provide very appreciable interactivity, flexibility, and collaboration for practical works development. Also, 3DVL@ES includes the specification of learners' interactions and collaborations on a unified application model to assist and automate the creation of new 3D interfaces related to practical work in experimental sciences. 3DVL@ES has been applied in a real case study of Daniel's Battery. The obtained results have been compared with other virtual laboratories to show the usefulness of 3DVL@ES. Experimental results show that 3DVL@ES laboratory easily achieves complex practical works with the integration of cooperation and collaboration aspects.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"64 1","pages":"1-26"},"PeriodicalIF":0.0,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85644905","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}