International Conference on Novelties in Intelligent Digital Systems最新文献_第2页

Creating a Metamodel for Predicting Learners' Satisfaction by Utilizing an Educational Information System During COVID-19 Pandemic 在COVID-19大流行期间利用教育信息系统创建预测学习者满意度的元模型

International Conference on Novelties in Intelligent Digital Systems Pub Date : 2021-09-22 DOI: 10.3233/faia210085

Z. Kanetaki, C. Stergiou, G. Bekas, C. Troussas, C. Sgouropoulou

{"title":"Creating a Metamodel for Predicting Learners' Satisfaction by Utilizing an Educational Information System During COVID-19 Pandemic","authors":"Z. Kanetaki, C. Stergiou, G. Bekas, C. Troussas, C. Sgouropoulou","doi":"10.3233/faia210085","DOIUrl":"https://doi.org/10.3233/faia210085","url":null,"abstract":"Faced with the disruption generated by the COVID-19 pandemic, the advent of enforced and exclusive online learning presented a challenging opportunity for researchers worldwide, to quickly adapt curricula to this new reality and gather electronic data by tracking students’ satisfaction after attending online modules. Many researchers have looked into the subject of student satisfaction to discover if there is a link between personal satisfaction and academic achievement. Using a set of data, filtered out of a statistical analysis applied on an online survey, with 129 variables, this study investigates students’ satisfaction prediction in a first-semester Mechanical Engineering CAD module combined with the evaluation and the effectiveness of specific curriculum reforms. A hybrid machine learning model that has been created, initially consists of a Generalized Linear Model (GLAR), based on critical variables that have been filtered out after a correlation analysis. Its fitting errors are utilized as an extra predictor, that is used as an input to an artificial neural network. The model has been trained using as a basis the 70% of the population (consisting of 165 observations) to predict the satisfaction of the remaining 30%. After several trials and gradual improvement, the metamodel’s architecture is produced. The trained hybrid model’s final form had a coefficient of determination equal to 1 (R = 1). This indicates that the data fitting method was successful in linking the independent variables with the dependent variable 100 percent of the time (satisfaction prediction).","PeriodicalId":234167,"journal":{"name":"International Conference on Novelties in Intelligent Digital Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123458348","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: 3

Data Mining for Improving Online Higher Education Amidst COVID-19 Pandemic: A Case Study in the Assessment of Engineering Students 基于数据挖掘的新型冠状病毒大流行背景下在线高等教育改进——以工科学生评估为例

International Conference on Novelties in Intelligent Digital Systems Pub Date : 2021-09-22 DOI: 10.3233/faia210088

Z. Kanetaki, C. Stergiou, G. Bekas, C. Troussas, C. Sgouropoulou

{"title":"Data Mining for Improving Online Higher Education Amidst COVID-19 Pandemic: A Case Study in the Assessment of Engineering Students","authors":"Z. Kanetaki, C. Stergiou, G. Bekas, C. Troussas, C. Sgouropoulou","doi":"10.3233/faia210088","DOIUrl":"https://doi.org/10.3233/faia210088","url":null,"abstract":"Instructional materials, internet accessibility, student involvement and communication have always been integral characteristics of e-learning. During the transition from face-to-face to COVID-19 new online learning environments, the lectures and laboratories at universities have taken place either synchronously (using platforms, like MS Teams) or asynchronously (using platforms, like Moodle). In this study, a case study of a Greek university on the online assessment of learners is presented. As a testbed of this research, MS Teams was employed and tested as being a Learning Management System for evaluating a single platform use in order to avoid disruption of the educational procedure with concurrent LMS operations during the pandemic. A statistical analysis including a correlation analysis and a reliability analysis has been used to mine and filter data from online questionnaires. 37 variables were found to have a significant impact on the testing of tasks’ assignment into a single platform that was used at the same time for synchronous lectures. The calculation of Cronbach’s Alpha coefficient indicated that 89% of the survey questions have been found to be internally consistent and reliable variables and sampling adequacy measure (Bartlett’s test) was determined to be good at 0.816. Two clusters of students have been differentiated based on the parameters of their diligence, communication abilities and level of knowledge embedding. A hierarchical cluster analysis has been performed extracting a dendrogram indicating 2 large clusters in the upper branch, three clusters in the lower branch and an ensuing lower branch containing five clusters.","PeriodicalId":234167,"journal":{"name":"International Conference on Novelties in Intelligent Digital Systems","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126318038","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: 3

Smart Technologies and the Case of People with Disabilities: A Preliminary Overview 智能技术与残疾人案例:初步综述

International Conference on Novelties in Intelligent Digital Systems Pub Date : 2021-09-22 DOI: 10.3233/faia210096

Maria Poli

{"title":"Smart Technologies and the Case of People with Disabilities: A Preliminary Overview","authors":"Maria Poli","doi":"10.3233/faia210096","DOIUrl":"https://doi.org/10.3233/faia210096","url":null,"abstract":"Recently, smart technologies as well as the digitization has entered dynamically into our lives. Cities become mega-cities because of the over population, human health conditions are gradually degraded. The existence of disabled people and the lack of their socialization the diversity of stakeholders as human beings and the difficulty of integrating them into society are few of some problems that Smart City and Smart Technology come to give manageable solutions. Solutions that could find into suggesting researches and intelligence analytics. It is important to refer to this relationship of intelligent capabilities and human resources. This study presents an overview of digital technology especially for people with disabilities. It highlights the contribution of technology to simple everyday habits of disabled and the ability to access the immediate environment. In conclusion, this article is based on the individual requirements, human rights, and preferences of people with disabilities and gives an intriguing perspective to a subject that will be in the limelight and provide effective solutions in the next years driven by technological developments.","PeriodicalId":234167,"journal":{"name":"International Conference on Novelties in Intelligent Digital Systems","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130288304","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

A Fuzzy C-Means-Based Algorithm for the Surveillance of Dengue Cases Distribution in Local Communities 基于模糊c均值的登革热病例分布监测算法

International Conference on Novelties in Intelligent Digital Systems Pub Date : 2021-09-22 DOI: 10.3233/faia210091

Jozelle C. Addawe, Jaime D. L. Caro, R. A. Juayong

引用次数: 0

Virtual Reality Tool for Rehabilitation of Patients with Parkinson's Disease: A Conceptual Design Review 帕金森病患者康复的虚拟现实工具:一个概念设计回顾

International Conference on Novelties in Intelligent Digital Systems Pub Date : 2021-09-22 DOI: 10.3233/faia210076

J. C. Boque, J. Caro, Richelle Anne Juayong, R. Jamora

引用次数: 0

Designing Personalisation in a Environmental Recommendation System: Differences of AHP and Fuzzy AHP 环境推荐系统中的个性化设计:层次分析法与模糊层次分析法的差异

International Conference on Novelties in Intelligent Digital Systems Pub Date : 2021-09-22 DOI: 10.3233/faia210097

K. Kabassi

引用次数: 0

Zoo Therapy for Alzheimer's Disease with Real-Time Speech Instruction and Neurofeedback System 用实时语言指导和神经反馈系统治疗阿尔茨海默病的动物园疗法

International Conference on Novelties in Intelligent Digital Systems Pub Date : 2021-09-22 DOI: 10.3233/faia210079

Y. Ai, H. Abdessalem, C. Frasson

{"title":"Zoo Therapy for Alzheimer's Disease with Real-Time Speech Instruction and Neurofeedback System","authors":"Y. Ai, H. Abdessalem, C. Frasson","doi":"10.3233/faia210079","DOIUrl":"https://doi.org/10.3233/faia210079","url":null,"abstract":"There is an increasing number of people with Alzheimer’s disease. Negative emotions are not only one of the symptoms of AD, but also the accelerator of the disease. Animal therapy can have a positive impact on the negative emotions of patients, but it has strict requirements for both environments and animals. In this study, we aim to explore the effectiveness of using virtual animals and their impact on the reduction of patients’ negative emotions to improve the user’s cognitive functions. This approach has been implemented in the Zoo Therapy project, which presents an immersive 3D virtual reality animal environment, where the impact on the patient’s emotion is measured in real-time by using electroencephalography (EEG). In addition to creating highly realistic virtual animals, the innovation of Zoo Therapy is also in its communication mechanism as it implements bidirectional human-computer interaction supported by 3 interaction methods: 3D buttons, speech instruction, and Neurofeedback. Patients can actively interact with virtual animals through 3D buttons or speech instructions. The Neurofeedback system will guide the animal to actively interact with the patients according to their real-time emotional changes to reduce their negative emotions. Experiments and preliminary results show that it is possible to interact with virtual animals in Zoo Therapy, and the Neurofeedback system can intervene in Zoo VR environment when the emotional value goes down and might reduce patients’ negative emotions.","PeriodicalId":234167,"journal":{"name":"International Conference on Novelties in Intelligent Digital Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129526350","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: 2

Prediction of Amusement Intensity Based on Brain Activity 基于大脑活动的娱乐强度预测

International Conference on Novelties in Intelligent Digital Systems Pub Date : 2021-09-22 DOI: 10.3233/faia210099

Gabrielle Toupin, Mohamed S. Benlamine, C. Frasson

{"title":"Prediction of Amusement Intensity Based on Brain Activity","authors":"Gabrielle Toupin, Mohamed S. Benlamine, C. Frasson","doi":"10.3233/faia210099","DOIUrl":"https://doi.org/10.3233/faia210099","url":null,"abstract":"Amusement can help modulate psychological disorders and cognitive functions. Unfortunately, algorithms classifying emotions still combine multiple positive emotions into a unique emotion, namely joy, making it hard to use amusement in a real-life setting. Here we train a Long-Short-Term-Memory (LSTM) on electroencephalography (EEG) to predict amusement on a categorical scale. Participants (n=10) watched and rated 120 videos with various funniness levels while their brain activity was recorded with an Emotiv Headset. Participant’s ratings were divided into four bins of amusement (low, medium, high & very high) based on the participant’s ranking’s percentile. Nested cross-validation was used to validate the models. We first left out one video from each participant for the final model’s validation and a leave-one-group-out technique was used to test the model on an unseen participant during the training phase. The nested cross-validation was tested on sixteen different videos. We created an LSTM model with five hidden layers, vatch size of 256 and an input layer of 14 x 128 (number of electrodes x 1 sec of recording) and four nodes representing the different levels of amusement. The best model obtained during the training phase was tested on the unseen video. While the level of accuracy between the validation videos varies slightly (mean=57.3%, std=13.7%), our best model obtained an accuracy of 82,4%. This high accuracy supports the use of brain activity to predict amusement. Moreover, the validation process we design conveys that models using this technique are transferable across participants and videos.","PeriodicalId":234167,"journal":{"name":"International Conference on Novelties in Intelligent Digital Systems","volume":"345 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120892229","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

GunitaHu: A VR Serious Game with Montessori Approach for Dementia Patients During COVID-19 GunitaHu: COVID-19期间痴呆患者使用蒙特梭利方法的VR严肃游戏

International Conference on Novelties in Intelligent Digital Systems Pub Date : 2021-09-22 DOI: 10.3233/faia210082

Aira Jazel Y. Ang, Roberto D. Principio, R. A. Juayong, J. D. L. Caro

引用次数: 0

Application Programming Interface for a Customer Experience Analysis Tool 客户体验分析工具的应用程序编程接口

International Conference on Novelties in Intelligent Digital Systems Pub Date : 2021-09-22 DOI: 10.3233/faia210092

G. Kopsiaftis, Ioannis Georgoulas, I. Rallis, Ioannis Markoulidakis, Kostis Tzanettis, Michael Sfakianos, N. Doulamis

引用次数: 0