Acta Informatica Pragensia最新文献_第7页

Czech and Slovak Educators' Online Teaching Experience: A Covid-19 Case Study 捷克和斯洛伐克教育工作者的在线教学经验:以新冠肺炎为例

Acta Informatica Pragensia Pub Date : 2021-10-24 DOI: 10.18267/j.aip.162

J. Hvorecký, Michal Beno, Soňa Ferenčíková, R. Janošcová, J. Simuth

{"title":"Czech and Slovak Educators' Online Teaching Experience: A Covid-19 Case Study","authors":"J. Hvorecký, Michal Beno, Soňa Ferenčíková, R. Janošcová, J. Simuth","doi":"10.18267/j.aip.162","DOIUrl":"https://doi.org/10.18267/j.aip.162","url":null,"abstract":"The surge in interest in online teaching increased not only due to the pandemic. It had been growing even before. The main objective of this study is therefore to explore how online teaching has changed. It addresses experience and opinions of educators of Czech and Slovak universities in the period from the first days of the COVID-19 lockdown (March 2020) till the peak of its second wave (May 2021). To examine the impact of disharmony, the authors investigated Czech and Slovak university educators' activities and behaviour during their online teaching. A descriptive statistics approach was applied. A total of 172 educators participated in our online survey. Our results reveal that online teaching has become a fundamental component of their education. Our outcomes demonstrate their low preparation for this unexpected event as well as their quick adaptation to the new situation. Additionally, data indicate that their difficulties reconcile their previous experience and teaching practices with online teaching. Finally, they show that about half of them are still sceptical about the future of online education and dream of return to traditional teaching. Our results also indicate that universities should facilitate their efforts in developing online education methodology and overall support to their educators. © 2021 Prague University of Economics and Business. All Rights Reserved.","PeriodicalId":36592,"journal":{"name":"Acta Informatica Pragensia","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44414781","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

Discovery of Points of Interest with Different Granularities for Tour Recommendation Using a City Adaptive Clustering Framework 利用城市自适应聚类框架发现不同粒度的旅游推荐兴趣点

Acta Informatica Pragensia Pub Date : 2021-10-23 DOI: 10.18267/j.aip.161

Junjie Sun, T. Kinoue, Qiang Ma

{"title":"Discovery of Points of Interest with Different Granularities for Tour Recommendation Using a City Adaptive Clustering Framework","authors":"Junjie Sun, T. Kinoue, Qiang Ma","doi":"10.18267/j.aip.161","DOIUrl":"https://doi.org/10.18267/j.aip.161","url":null,"abstract":"Increasing demand for personalized tours for tourists travel in an urban area motivates more attention to points of interest (POI) and tour recommendation services. Recently, the granularity of POI has been discussed to provide more detailed information for tour planning, which supports both inside and outside routes that would improve tourists' travel experience. Such tour recommendation systems require a predefined POI database with different granularities, but existing POI discovery methods do not consider the granularity of POI well and treat all POIs as the same scale. On the other hand, the parameters also need to be tuned for different cities, which is not a trivial process. To this end, we propose a city adaptive clustering framework for discovering POIs with different granularities in this article. Our proposed method takes advantage of two clustering algorithms and is adaptive to different cities due to automatic identification of suitable parameters for different datasets. Experiments on two real-world social image datasets reveal the effectiveness of our proposed framework. Finally, the discovered POIs with two levels of granularity are successfully applied on inner and outside tour planning.","PeriodicalId":36592,"journal":{"name":"Acta Informatica Pragensia","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43251526","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

Visual Interface Design Innovation: Citizens' Perception of Financial Administration Applications 视觉界面设计创新：市民对金融管理应用的感知

Acta Informatica Pragensia Pub Date : 2021-10-21 DOI: 10.18267/j.aip.160

T. Zichová

{"title":"Visual Interface Design Innovation: Citizens' Perception of Financial Administration Applications","authors":"T. Zichová","doi":"10.18267/j.aip.160","DOIUrl":"https://doi.org/10.18267/j.aip.160","url":null,"abstract":"The paper deals with an analysis and evaluation of an innovative visual design of the Czech Financial Administration application, which was launched in order to solve needs arising from the COVID-19 pandemic. The Financial Administration had not made use of information technologies for several years, which had prevented the streamlining of public services offered to taxpayers. The aim of the study is to compare the perception of the visual interface design of two Financial Administration applications: (a) the Tax Portal – launched before the pandemic, and (b) the application for the provision of a compensation bonus for self-employed – launched during the pandemic. The research is based on a sequential mixed method design, where findings from a focus group and an interview are used to define relevant properties of web design to be evaluated in a questionnaire survey. The difference between variables regarding the perception of the Financial Administration applications is determined using a paired t-test. The results show that the new application has brought a significant change in the appearance of the interface design. Positive results of the Financial Administration’s innovative approach can be beneficial for future development of different e-government projects. © 2022 Prague University of Economics and Business. All Rights Reserved.","PeriodicalId":36592,"journal":{"name":"Acta Informatica Pragensia","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47926872","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 Neural Network-Based Approach in Predicting Consumers' Intentions of Purchasing Insurance Policies 基于神经网络的消费者购买保险意向预测方法

Acta Informatica Pragensia Pub Date : 2021-09-10 DOI: 10.18267/j.aip.152

Wen Teng Chang, Kee Huong Lai

{"title":"A Neural Network-Based Approach in Predicting Consumers' Intentions of Purchasing Insurance Policies","authors":"Wen Teng Chang, Kee Huong Lai","doi":"10.18267/j.aip.152","DOIUrl":"https://doi.org/10.18267/j.aip.152","url":null,"abstract":"Insurance is a crucial mechanism used to lighten the financial burden as it provides protection against financial losses resulting from unexpected events. Insurers adopt various approaches, such as machine learning, to attract the uninsured. By using machine learning, a company is able to tap into the wealth of information of its potential customers. The main objective of this study is to apply artificial neural networks (ANNs) to predict the propensity of consumers to purchase an insurance policy by using the dataset from the Computational Intelligence and Learning (CoIL) Challenge 2000. In addition, this study also aims to identify factors that affect the propensity of customers to purchase insurance policies via feature selection. The dataset is pre-processed with feature construction and three feature selection methods, which are the neighbourhood component analysis (NCA), sequential forward selection (SFS) and sequential backward selection (SBS). Sampling techniques are carried out to address the issue of imbalanced class distributions. The results obtained are found to be comparable with the top few entries of the CoIL Challenge 2000, which shows the efficiency of the proposed model in predicting consumers’ intention of purchasing insurance policies.","PeriodicalId":36592,"journal":{"name":"Acta Informatica Pragensia","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46660210","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

Trialability and Purposefulness: Their Role Towards Google Classroom Acceptance Following Educational Policy 三元性和目的性：教育政策对谷歌课堂接受的作用

Acta Informatica Pragensia Pub Date : 2021-09-10 DOI: 10.18267/j.aip.154

S. Oluyinka, Maria N. Cusipag

{"title":"Trialability and Purposefulness: Their Role Towards Google Classroom Acceptance Following Educational Policy","authors":"S. Oluyinka, Maria N. Cusipag","doi":"10.18267/j.aip.154","DOIUrl":"https://doi.org/10.18267/j.aip.154","url":null,"abstract":"With the COVID-19 pandemic experiences of Filipino students, the face-to-face mode of instruction in the classroom has been phased out in exchange for online learning platforms such as Google Classroom (GCR) among some K-12 learners. As advised by the Commission on Higher Education (CHED), most colleges and universities had to try available learning management systems;hence, this research study aimed to investigate the role of trialability and purposefulness towards GCR acceptance among tertiary institutions following the CHED educational policy. The researchers came up with eight hypotheses, which suggested that purposefulness may influence educational policy and acceptance of GCR. Trialability of GCR may influence educational policy and technical access. One thousand sixty-six (1066) respondents from six public higher institutions of learning were given online questionnaire;however, only 913 users were considered for the structural equation modelling and indirect effect of the suggested factors in this study. Using SmartPLS 3.0, the findings revealed that except for the hypothesis on institutional willingness (p< 0.054), all the hypotheses were highly supported at the level of significance p < 0.00 to p< 0.005. Thus, this study proves that GCR is an appropriate platform for colleges and universities. Trialability and purposefulness are two great factors that contributed to the acceptance and adoption of GCR in higher institutions of learning. Future researchers are therefore encouraged to replicate this study and validate the findings since the use of GCR is relatively new among Filipino teachers and learners. © 2021 by the author(s).","PeriodicalId":36592,"journal":{"name":"Acta Informatica Pragensia","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43515774","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: 4

Modelling COVID-19 Hotspot Using Bipartite Network Approach 基于二部网络的COVID-19热点建模

Acta Informatica Pragensia Pub Date : 2021-09-10 DOI: 10.18267/j.aip.151

B. H. Hong, J. Labadin, Wei King Tiong, Terrin Lim, Melvin Hsien Liang Chung

{"title":"Modelling COVID-19 Hotspot Using Bipartite Network Approach","authors":"B. H. Hong, J. Labadin, Wei King Tiong, Terrin Lim, Melvin Hsien Liang Chung","doi":"10.18267/j.aip.151","DOIUrl":"https://doi.org/10.18267/j.aip.151","url":null,"abstract":"COVID-19 causes a jarring impact on the livelihoods of people in Malaysia and globally. To prevent an outbreak in the community, identifying the likely sources of infection (hotspots) of COVID-19 is important. The goal of this study is to formulate a bipartite network model of COVID-19 transmissions by incorporating patient mobility data to address the assumption on population homogeneity made in the conventional models and focus on indirect transmission. Two types of nodes – human and location – are the main concern in the research scenario. 21 location nodes and 31 human nodes are identified from a patient’s pre-processed mobility data. The parameters used in this study for location node and human node quantifications are the ventilation rate of a location and the environmental properties of the location that affect the stability of the virus such as temperature and relative humidity. The summation rule is applied to quantify all nodes in the network and the link weight between the human node and the location node. The ranking of location and human nodes in this network is computed using a web search algorithm. This model is considered verified as the error obtained from the comparison made between the benchmark model and the COVID-19 bipartite network model is small. As a result, the higher ranking of the location is denoted as a hotspot in this study, and for a human node attached to this node will be ranked higher in the human node ranking. Consequently, the hotspot has a higher risk of transmission compared to other locations. These findings are proposed to provide a framework for public health authorities to identify the sources of infection and high-risk groups of people in the COVID-19 cases to control the transmission at the initial stage. © 2021 by the author(s).","PeriodicalId":36592,"journal":{"name":"Acta Informatica Pragensia","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48494212","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

Sentiment Analysis for Thai Language in Hotel Domain Using Machine Learning Algorithms 基于机器学习算法的酒店领域泰语情感分析

Acta Informatica Pragensia Pub Date : 2021-09-10 DOI: 10.18267/j.aip.155

Nattawat Khamphakdee, Pusadee Seresangtakul

{"title":"Sentiment Analysis for Thai Language in Hotel Domain Using Machine Learning Algorithms","authors":"Nattawat Khamphakdee, Pusadee Seresangtakul","doi":"10.18267/j.aip.155","DOIUrl":"https://doi.org/10.18267/j.aip.155","url":null,"abstract":"Sentiment analysis is one of the most frequently used aspects of Natural Language Processing (NLP), which utilizes the polarity classification of reviews expressed at the aspect, sentence or document level. Several businesses and organizations utilize this technique to improve production, as well as employee and service efficiency. However, the users’ reviews in our study were expressed in an unstructured data form, which contained spelling errors, leading to complex classifications for both the users and the machine. To solve the problem, a supervised technique of Machine Learning (ML) algorithms can be applied to the data extraction, where classification polarity can be categorized into a positive, negative or neutral class. In this research, we compared nine ML algorithms to determine the most suitable ML algorithm for creating sentiment polarity classification of customer reviews in Thai, which is a low-resource language. The dataset was collected manually from two online agencies (Agoda.com and Booking.com) utilizing a special Thai language. We employed 11 preprocessing steps to clean and handle the large amount of noise data. Next, the Delta TF-IDF, TF-IDF, N-Gram, and Word2Vec techniques were applied to convert the text reviews into vectors, processed with different ML algorithms, to determine sentiment polarity classification and to make accurate comparisons. All ML algorithms were evaluated for sentiment polarity classification with ten-fold cross-validation, with which to compare the values of recall, precision, F1-score and accuracy. The experiment results show that the Support Vector Machine (SVM) using the Delta TF-IDF technique was the best ML algorithm for polarity classification of hotel reviews in the Thai language with the highest accuracy of 89.96%. The results of this research can be applied as the tool for small and medium-sized enterprises within the field of sentiment analysis of the Thai language in the hotel domain.","PeriodicalId":36592,"journal":{"name":"Acta Informatica Pragensia","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45669421","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: 6

E-Commerce Readiness Assessment in Sarawak 砂拉越的电子商务准备情况评估

Acta Informatica Pragensia Pub Date : 2021-09-10 DOI: 10.18267/j.aip.153

Ahmad Termidzi Bin Serojai, Hamimah Binti Ujir, Irwandi Hipni Bin Mohamad Hipiny

{"title":"E-Commerce Readiness Assessment in Sarawak","authors":"Ahmad Termidzi Bin Serojai, Hamimah Binti Ujir, Irwandi Hipni Bin Mohamad Hipiny","doi":"10.18267/j.aip.153","DOIUrl":"https://doi.org/10.18267/j.aip.153","url":null,"abstract":"This study explores the factors of e-commerce adoption among Sarawakians. One of the factors is the level of cybersecurity awareness. We aim to assess the readiness for e-commerce among Sarawakians due to the lack of study conducted on the subject. A research model based on the perceived risk (PR), perceived usefulness (PU) and perceived quality of products (PQ), and the intention (I) of adoption of e-commerce services in Sarawak is proposed. The validity of the proposed model is then tested using various validity tests such as item reliability, construct validity, convergent validity and discriminant validity via the SmartPLS software. Once the validity of the model has been determined, a structural equation model is used to study the strength of the model before the test of the hypothesis can be done. The effect size, f2, is calculated by using SmartPLS. The index value of each variable is also plotted in the importance-performance matrix analysis (IPMA). Based on the survey data from 128 end users in Sarawak, the study finds that PU is the most crucial factor in adopting e-commerce services, followed by PQ. Surprisingly, PR does not play any role in the intention of Sarawakians to adopt e-commerce services. The results suggest several important key points as follows: (i) the Sarawak Government and its e-commerce partners should focus on educating the people of Sarawak on the importance of cybersecurity to prevent cyber-related crimes from occurring and causing massive damage in Sarawak’s attempt to digitise its economy; (ii)Sarawakians prefer functional e-commerce services; (iii) the quality of e-commerce products should also be maintained; and (iv) the developers should focus on the usefulness of their products to ensure that their service can be adopted by the people of Sarawak.","PeriodicalId":36592,"journal":{"name":"Acta Informatica Pragensia","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48038738","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

Proposing Two Hybrid Data Mining Models for Discovering Students' Mental Health Problems 提出两种发现学生心理健康问题的混合数据挖掘模型

Acta Informatica Pragensia Pub Date : 2021-06-30 DOI: 10.18267/j.aip.148

Shabnam Shadroo, Mohsen Yoosefi Nejad, Samira Tavanaiee Yosefian, M. Naserbakht, M. Hosseinzadeh

{"title":"Proposing Two Hybrid Data Mining Models for Discovering Students' Mental Health Problems","authors":"Shabnam Shadroo, Mohsen Yoosefi Nejad, Samira Tavanaiee Yosefian, M. Naserbakht, M. Hosseinzadeh","doi":"10.18267/j.aip.148","DOIUrl":"https://doi.org/10.18267/j.aip.148","url":null,"abstract":"Mental health is an important issue for university students. The objective of this article was to apply and compare the different classification methods for students’ mental health problems. Furthermore, it presents an ensemble classification method to improve the accuracy of classifiers and assist psychologists in the decision making process. For this, 10 different classifiers were applied for classifying students into two groups. In addition, two methods of combining the classifiers are presented. In the first proposed method, the classifiers were selected based on their accuracy, and then voting was carried out based on maximum probability. In the second proposed method, the methods were combined based on the fields of the confusion table, and the voting was carried out based on majority voting scheme. These two methods were evaluated in two ways. Focusing on the accuracy and the maximum probability voting, the accuracy of the first method was 92.24%, whereas in the second method, it was 95.97%. Further, using confusion table and majority voting applied to the entire dataset, the accuracy reached 96.66%. The results are promising to assist the process of mental health assessment of students.","PeriodicalId":36592,"journal":{"name":"Acta Informatica Pragensia","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42890229","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

Social Informatics: 30 Years of Development of Russian Scientific School 社会信息学:俄罗斯科学学派发展的30年

Acta Informatica Pragensia Pub Date : 2021-05-22 DOI: 10.18267/j.aip.150

Konstantin Konstantinovich Kolin

{"title":"Social Informatics: 30 Years of Development of Russian Scientific School","authors":"Konstantin Konstantinovich Kolin","doi":"10.18267/j.aip.150","DOIUrl":"https://doi.org/10.18267/j.aip.150","url":null,"abstract":"The article deals with the history of the formation, current state and prospects for the development of social informatics as a current direction in science and education in Russia. The article offers mainly a personal view of the author, who has been involved in shaping social informatics in Russia for the last three decades. The article presents the distinctive features of the Russian scientific school of social informatics and its priorities in the formation of this field. The main directions of research in the field of social informatics in Russia in the context of the formation of the global information society are determined. Particular emphasis is placed on the interdisciplinary nature of many issues related to social informatics and their systematic study. Finally, the article summarizes the current necessity for the deep study of issues related to social informatics, e.g., information inequality, information crime, cyberbullies, manipulation of consciousness, virtualization of society, information wars, information poverty, information culture, and using computers to analyse social phenomena such as communication via social media. It is important not only in the area of scientific research but also in the system of secondary and higher education and training of scholars.","PeriodicalId":36592,"journal":{"name":"Acta Informatica Pragensia","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46209908","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