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Learners' Acceptability of Adapting the Different Teaching Methodologies for Students 学生适应不同教学方法的可接受性
Int. J. e Collab. Pub Date : 2023-02-16 DOI: 10.4018/ijec.318335
Amar Shukla, S. Singhal, T. Choudhury, S. Mohanty
{"title":"Learners' Acceptability of Adapting the Different Teaching Methodologies for Students","authors":"Amar Shukla, S. Singhal, T. Choudhury, S. Mohanty","doi":"10.4018/ijec.318335","DOIUrl":"https://doi.org/10.4018/ijec.318335","url":null,"abstract":"The learning methodologies used by students are directly proportional to their abilities to learn. Various learning methodologies have been used to gain student acceptance and satisfaction with the module taught by the teacher. In this article, the authors approach the different methods and analyze these methodologies. To determine the impact, they considered both the face-to-face learning process and the online mode of learning to determine the exact effect on the student. So, to address this, a two-way survey was conducted. The first revealed the student satisfaction rate with the course approached through the online mode of learning. Second, a comparative study was made using ANOVA methods between the online way and the face-to-face methodology. A significant observation was made in the test, and it shows that the hybrid model of teaching provides better performance than the face-to-face method.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"230 1","pages":"1-20"},"PeriodicalIF":0.0,"publicationDate":"2023-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91429899","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}
引用次数: 1
Neural Network-Based Prediction Model for Sites' Overhead in Commercial Projects 基于神经网络的商业项目场地开销预测模型
Int. J. e Collab. Pub Date : 2023-02-16 DOI: 10.4018/ijec.318143
Ali H. Hassan, A. Idrees, Ahmed I. B. Elseddawy
{"title":"Neural Network-Based Prediction Model for Sites' Overhead in Commercial Projects","authors":"Ali H. Hassan, A. Idrees, Ahmed I. B. Elseddawy","doi":"10.4018/ijec.318143","DOIUrl":"https://doi.org/10.4018/ijec.318143","url":null,"abstract":"Construction companies need to improve the accuracy of their projects' budgeting to achieve the targeted profit. Site overheads are the expenses related to a project but are not allocated to a specific work package. The main objective of this research is to develop a neural network model for commercial projects to predict and estimate project site overhead costs as a percentage of the direct cost. The focal point of the research is focused on the main factors affecting site overhead costs for commercial projects in Egypt. These factors and their weights were identified by experts through the collected structured data. Cost data for 55 projects in the past seven years was collected with various conditions of company rank, direct cost, project duration, project location, contract type, and type of company ownership. The results have shown that the best model developed consists of six input neurons; two hidden layers with six and five neurons respectively, and one output layer representing the percentage of project site overhead. The model was tested on six projects with accuracy of 84%.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"7 1","pages":"1-24"},"PeriodicalIF":0.0,"publicationDate":"2023-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77134882","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}
引用次数: 0
A Novel Method for Measuring, Visualizing, and Monitoring E-Collaboration 一种测量、可视化和监控电子协作的新方法
Int. J. e Collab. Pub Date : 2023-02-03 DOI: 10.4018/ijec.317223
Sabah Farshad, C. Fortin
{"title":"A Novel Method for Measuring, Visualizing, and Monitoring E-Collaboration","authors":"Sabah Farshad, C. Fortin","doi":"10.4018/ijec.317223","DOIUrl":"https://doi.org/10.4018/ijec.317223","url":null,"abstract":"With its roots in the 1960s, e-collaboration has dramatically evolved and expanded over the past decades and became a globally adopted practice of teamwork. On the other hand, despite the development of e-collaboration technologies, the lack of true collaboration remains one of the main reasons for teamwork failures. However, traditional approaches to improving collaboration due to time-consuming, complicated, and expensive procedures do not meet the modern setup's requirements. This paper presents a new fast, simple, and low-cost method to improve e-collaboration through active engagement measures by analyzing data logs. The authors designed and ran a feedback system to mirror the participants' engagement during a collaborative engineering design course. The results of two case studies, including nine teams, suggest meaningful positive impacts of the method. The presented approach is applicable in upgrading e-collaboration platforms and further investigation on improving web-based collaborative learning and teamwork through monitoring dashboards and feedback systems.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"34 3","pages":"1-21"},"PeriodicalIF":0.0,"publicationDate":"2023-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91465012","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}
引用次数: 0
An Improved Computational Solution for Cloud-Enabled E-Learning Platforms Using a Deep Learning Technique 基于深度学习技术的云电子学习平台改进计算解决方案
Int. J. e Collab. Pub Date : 2023-02-03 DOI: 10.4018/ijec.316664
Wenyi Xu
{"title":"An Improved Computational Solution for Cloud-Enabled E-Learning Platforms Using a Deep Learning Technique","authors":"Wenyi Xu","doi":"10.4018/ijec.316664","DOIUrl":"https://doi.org/10.4018/ijec.316664","url":null,"abstract":"The sharable e-learning platform can be presented as a useful learning environment for students on the cloud computing infrastructure. Virtual classrooms are momentarily taking the place of conventional ones, which means that e-learning is becoming more popular. There are currently no strategies for estimating how much cloud resources will be used. Because of this, students can access learning objects without deciding to follow a different learning management system (LMS). The proposed deep learning-based e-learning platform (DL-E-LP) can enable separate LMS embedded in multiple e-learning standards to share the learning objects. Using a smart learning system, teachers can keep track of their students' progress more easily. The convolutional neural network has been used to develop face recognition and monitor students' knowledge learning level in deep learning. The use of modern technologies and smart classrooms makes learning easier for all students. The proposed paradigm is both efficient and productive through experimentation.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"116 1","pages":"1-19"},"PeriodicalIF":0.0,"publicationDate":"2023-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80786093","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}
引用次数: 1
Video-Based Metric Learning Framework for Basketball Skill Assessment 基于视频的篮球技术评价度量学习框架
Int. J. e Collab. Pub Date : 2023-01-27 DOI: 10.4018/ijec.316875
Guangyu Mu, Tingting Li
{"title":"Video-Based Metric Learning Framework for Basketball Skill Assessment","authors":"Guangyu Mu, Tingting Li","doi":"10.4018/ijec.316875","DOIUrl":"https://doi.org/10.4018/ijec.316875","url":null,"abstract":"Video-based human action recognition has become one of the research hotspots in the field of computer vision in recent years and has been widely used in the fields of intelligent human-computer interaction and virtual reality. However, most of the current existing methods and public datasets are constructed for human daily activities, and the assessment of basketball skills is still a challenging problem. In order to solve the above issues, in this paper, the authors propose a coarse-to-fine video-based metric learning framework for basketball skills assessment. Specifically, they first use a variety of models to jointly represent the action video, and then the optimal distance metric between videos is learned based on the representation. Finally, based on the distance metric, a query video is coarsely classified to obtain the corresponding label of video action, and then the video is finely classified to judge whether the action is standardized. The experiments on a collected dataset show that the proposed framework can better identify and assess the non-standard actions of basketball.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"8 1","pages":"1-13"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79673782","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}
引用次数: 0
Aesthetic Assessment of Packaging Design Based on Con-Transformer 基于互感器的包装设计美学评价
Int. J. e Collab. Pub Date : 2023-01-27 DOI: 10.4018/ijec.316873
Wei Li
{"title":"Aesthetic Assessment of Packaging Design Based on Con-Transformer","authors":"Wei Li","doi":"10.4018/ijec.316873","DOIUrl":"https://doi.org/10.4018/ijec.316873","url":null,"abstract":"Different from the traditional natural images' aesthetic assessment task, the aesthetic assessment of packaging design should not only pay attention to artistic beauty, but also pay attention to functional beauty, that is, the attraction of the packaging design to consumers. In this paper, the authors propose a con-transformer packaging design aesthetic assessment method, which takes advantage of convolutional operations and self-attention mechanisms for enhanced representation learning, resulting in an effective aesthetic assessment of the packaging design images. Specifically, con-transformer integrates convolution network branch and transformer network branch to extract local representation features and global representation features of the packaging design images respectively. Finally, the fused representation features are used for aesthetic assessment. Experimental results show that the proposed method can not only effectively assess the aesthetic of packaging design images, but also be applied to the aesthetic assessment of natural images.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"44 1","pages":"1-11"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86134854","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}
引用次数: 1
Feature Extraction From Single-Channel EEG Using Tsfresh and Stacked Ensemble Approach for Sleep Stage Classification 基于Tsfresh和堆叠集成方法的单通道EEG特征提取及其睡眠阶段分类
Int. J. e Collab. Pub Date : 2023-01-27 DOI: 10.4018/ijec.316774
L. RadhakrishnanB., K. Ezra, I. Jebadurai
{"title":"Feature Extraction From Single-Channel EEG Using Tsfresh and Stacked Ensemble Approach for Sleep Stage Classification","authors":"L. RadhakrishnanB., K. Ezra, I. Jebadurai","doi":"10.4018/ijec.316774","DOIUrl":"https://doi.org/10.4018/ijec.316774","url":null,"abstract":"The smart world under Industry 4.0 is witnessing a notable spurt in sleep disorders and sleep-related issues in patients. Artificial intelligence and IoT are taking a giant leap in connecting sleep patients remotely with healthcare providers. The contemporary single-channel-based monitoring devices play a tremendous role in predicting sleep quality and related issues. Handcrafted feature extraction is a time-consuming job in machine learning-based automatic sleep classification. The proposed single-channel work uses Tsfresh to extract features from both the EEG channels (Pz-oz and Fpz-Cz) of the SEDFEx database individually to realise a single-channel EEG. The adopted mRMR feature selection approach selected 55 features from the extracted 787 features. A stacking ensemble classifier achieved 95%, 94%, 91%, and 88% accuracy using stratified 5-fold validation in 2, 3, 4, and 5 class classification employing healthy subjects data. The outcome of the experiments indicates that Tsfresh is an excellent tool to extract standard features from EEG signals.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"20 1","pages":"1-20"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84989488","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}
引用次数: 0
Movement Balance Evaluation for Basketball Training Through Multi-Source Sensors 基于多源传感器的篮球训练运动平衡评价
Int. J. e Collab. Pub Date : 2023-01-27 DOI: 10.4018/ijec.316871
G. Huang
{"title":"Movement Balance Evaluation for Basketball Training Through Multi-Source Sensors","authors":"G. Huang","doi":"10.4018/ijec.316871","DOIUrl":"https://doi.org/10.4018/ijec.316871","url":null,"abstract":"Balance ability is the basic sports quality of athletes. For basketball players, balance training includes take-off, turning, confrontation, shooting, landing, and other links. If the players have good balance ability, they can effectively prevent sports injury and competition interference and improve the performance of basketball competition. This paper adopts the acceleration signals from multi-source sensors to evaluate movement balance for basketball training. First, acceleration signals are collected by acceleration sensors to depict the basketball player's actions. Second, the hidden Markov model is used to describe the change or transfer of different states during player's actions. Third, the acceleration signal and observation sequence from hidden Markov are used to determine whether the player is under imbalance state. The effectiveness is evaluated on a private dataset.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"5 1","pages":"1-11"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73499492","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}
引用次数: 0
Clothing Style Recognition and Design by Using Feature Representation and Collaboration Learning 基于特征表示和协作学习的服装风格识别与设计
Int. J. e Collab. Pub Date : 2023-01-27 DOI: 10.4018/ijec.316870
Yinghui Fan
{"title":"Clothing Style Recognition and Design by Using Feature Representation and Collaboration Learning","authors":"Yinghui Fan","doi":"10.4018/ijec.316870","DOIUrl":"https://doi.org/10.4018/ijec.316870","url":null,"abstract":"In order to recognize the clothing style, this paper establishes a standard clothing style library. The images of clothing style are provided and annotated by fashion design experts. The clothing style image is represented as a set of line segments that is obtained by detecting the lines and corners consisting of the edge feature points in the image. Then, the authors extract the features of the line segment set and use the extracted features to establish clothing style matching rules to make the system automatically produce the matching and recognizing criteria for the clothing style images. When inputting an image of a person wearing clothes, they first find the position of the person through skin color detection and then locate the clothing. The clothing region is segmented by seed growth algorithm. The features of the segmentation are compared with clothing style matching rules to determine the style. The experimental results show that the recognition rate of clothing style can reach more than 92% for the standard clothing images and more than 91% for real clothing images.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"45 1","pages":"1-14"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88398584","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}
引用次数: 0
Preliminary Results on the Online Lessons of IDPE Department of University of West Attica 2019-2020 西阿提卡大学IDPE系2019-2020年在线课程初步结果
Int. J. e Collab. Pub Date : 2023-01-27 DOI: 10.4018/ijec.316965
Panagiotis S. Makrygiannis, D. Piromalis, E. Papakitsos, M. Papoutsidakis, D. Tseles
{"title":"Preliminary Results on the Online Lessons of IDPE Department of University of West Attica 2019-2020","authors":"Panagiotis S. Makrygiannis, D. Piromalis, E. Papakitsos, M. Papoutsidakis, D. Tseles","doi":"10.4018/ijec.316965","DOIUrl":"https://doi.org/10.4018/ijec.316965","url":null,"abstract":"During the pandemic outbreak of COVID-19 in Greece that coincided with the spring semester of the year 2020, conventional face-to-face lessons presented a threat to public health. As a result, house confinement measures were taken. Universities, due to their offering either directly or via their lifelong education centers, were partially prepared to offer distant learning solutions for their students during the pandemic. The lessons, in the general case, were delivered in an ad hoc manner utilizing teachers' personal experiences and preferences creating some pressure on existing infrastructures. In the case of the Department of Industrial Design & Production Engineering at the University of West Attica, things were more organized than in the general case: there was a, more or less, uniform practice of preferring synchronous lessons and some monitoring was planned in order to evaluate the application for future reference. While data collected in the process are still going through statistical analysis there are some preliminary results that can be reported here.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"15 1","pages":"1-15"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72915565","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}
引用次数: 0
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