Quality Of Online Research Articles

Who Makes You More Disappointed? The Effect of Avatar Presentation, Company Market Status, and Agent Identity on Customers’ Perceived Service Quality and Satisfaction of Online Chatting Services

Recent advances in interactive communication have allowed companies to introduce new digital technologies to differentiate their online customer chatting services, but little is known about how customers perceive these new services. To answer this call, the current research examines the effects of avatar presentation, company market status, and agent identity on customers’ perception of service quality and satisfaction in the context of minor service failure that customers encounter through online chatting services. The results of two studies show that customers perceive better service quality and demonstrate lower satisfaction if served by an artificial intelligence [AI] agent (vs. a human-agent), represented by a human picture (vs. a human image). However, this pattern was found only for a company with high market-status, not for a company with low market-status. These results will help marketing practitioners strategically design their chatting service environments according to the nature of services they offer.

Online English Language Teaching/Learning During the COVID-19 Pandemic: Students’ and Teachers’ Perceptions at University of Applied Sciences

The article analyzes the challenges posed by rapid shifting from face-to-face to online teaching/learning due to the Covid-19 pandemic. Along with other educational institutions Vilniaus kolegija/University of Applied Sciences had to switch to online teaching/ learning. After a year of new experience, a cross-sectional study was conducted to establish students’ and teachers’ perceptions of online learning and highlight areas for improvement. Two surveys were conducted: a student survey (N=39) and a teacher survey (N=13). The findings revealed that the vast majority of the respondents in both groups feel fully or partially satisfied with online teaching/learning and academic achievements. Of the two main tools engaged in online teaching/learning preference is given to Microsoft Teams, leaving the Moodle platform slightly behind. The authors conclude that despite overall positive feedback some improvements are necessary to raise the quality of online teaching/learning. Further research would help to monitor the development of the situation.

Peer Assessment for teaching quality of online writing classes in higher education: investigating learning styles’ impact

Peer Assessment for teaching quality of online writing classes in higher education: investigating learning styles’ impact

Prediksi Tingkat Kepuasan dalam Pembelajaran Daring Menggunakan Algoritma Naïve Bayes

The growth of learning at this time is influenced by advances in data and communication technology. One of the data technologies that functioned in the world of learning during the COVID-19 pandemic was online education. Online education is used as a liaison between lecturers and students in an internet network that can be accessed at any time. The online media used are Whatsapp, Google Classroom, Google Meet, Cloud x and the Zoom application. This research aims to predict the level of student satisfaction in online education as well as to distribute donations to large academies in making policies related to improving the quality of education online. The information used was obtained by distributing questionnaires to 110 students of the 2020/2021 class. The parameters in the questionnaire are lecturer communication, online education atmosphere, student evaluation, module delivery. Naïve Bayes is a prediction method for finding simple probabilities based on the Bayes theorem with a strong assumption of independence. Rapid Miner is one of the tools used for testing information and viewing the results of accuracy based on revolutionary information. The results of testing using 80 training information and 30 testing information display an accuracy of 100%. There were 3 respondents who reported dissatisfaction and 27 respondents reported being satisfied with online education. On the dissatisfied prediction, the precision class has a value of 100%, on the other hand, the prediction of being satisfied is 100%, and the class recall of true, not satisfied, has a value of 100%, whereas the class recall of true is satisfied to have 100%.

Research on the Impact of Internet Word-of-Mouth on Film Consumption ingness of College Students

In the context of the information age, consumers obtain information on products or services through online channels. Internet word-of-mouth has quickly become an emerging hotspot in the field of marketing, and its role in the film industry has become more prominent than before. Based on the relevant research of scholars, this paper constructs a research model to study the influence of film online word-of-mouth on college students’ consumption intention. Empirical research verified that source credibility, disseminator’s professional knowledge, word-of-mouth quality, word-of-mouth quantity, word-of-mouth potency, perceived credibility, network involvement, and receiver’s professional knowledge are positively correlated with college students’ film consumption intention. Based on the results, this study proposes a series of suggestions, such as improving the content quality of online word-of-mouth and the popularity of movies on the Internet to help movie companies effectively use online word-of-mouth to implement marketing.

Data reconciliation of an industrial coal gasification plant

The quality of online measured operational data is usually not satisfactory for the performance evaluation of coal gasification plants, because they are never error free, even careful installation and maintenance of the hardware cannot completely eliminate this problem. Data reconciliation is a data preprocessing technique which can improve the accuracy of measured data through process modeling and optimization, and can also be used for gross error detection together with a statistical test method. In this study, data reconciliation and gross error detection are used to an industrial coal gasification plant firstly, which identifies the departing variables, produces missing measurements and evaluates gasification key performance. The reconciled results show that: the accuracy of the primary measurement coal mass flow is improved a lot according to the high Gain value of >42%; the measured raw syngas production is distant from the real value a lot and corrected through reconciliation by 12% lower; the more accurate measurements for the same syngas composition detection are identified; the unmeasured gasifier temperature is calculated with good accuracy of ±56K, and also the distribution of unconverted carbon/ash are calculated; the KPIs are reconciled with improved accuracy due to the improvement of the measurements involved in the KPIs calculation. The results demonstrate that, for such coal gasification plants with complex multiphase logistics and multiple devices, data reconciliation is a valuable tool and shows important significance to help the plants improve measurement accuracy and realize reliable operation.

Prediksi Tingkat Kepuasan dalam Pembelajaran Daring Menggunakan Algoritma Naïve Bayes

The growth of learning at this time is influenced by advances in data and communication technology. One of the data technologies that functioned in the world of learning during the COVID-19 pandemic was online education. Online education is used as a liaison between lecturers and students in an internet network that can be accessed at any time. The online media used are Whatsapp, Google Classroom, Google Meet, Cloud x and the Zoom application. This research aims to predict the level of student satisfaction in online education as well as to distribute donations to large academies in making policies related to improving the quality of education online. The information used was obtained by distributing questionnaires to 110 students of the 2020/2021 class. The parameters in the questionnaire are lecturer communication, online education atmosphere, student evaluation, module delivery. Naïve Bayes is a prediction method for finding simple probabilities based on the Bayes theorem with a strong assumption of independence. Rapid Miner is one of the tools used for testing information and viewing the results of accuracy based on revolutionary information. The results of the test using 80 training information and 30 testing information show very good accuracy.

Dietary and herbal supplements for weight loss: assessing the quality of patient information online

BackgroundGiven the high prevalence of dietary and herbal supplement (DHS) use in tandem with the growing ease of internet access, patients commonly search online for consumer health information about these products. One common reason for DHSs use includes weight loss. Healthcare providers need to be aware of the quality of online information about DHSs for weight loss so they can adequately counsel their patients and provide them with guidance surrounding the identification of high-quality information resources. This study aimed to assess the quality of online DHSs consumer health information for weight loss that a “typical” patient might access online.MethodsSix search terms were used to generate the first 20 websites on the Google search engine in four countries: Australia, Canada, the United Kingdom, and the United States (n = 480 websites). After applying exclusion criteria, eligible websites were quality assessed using the DISCERN instrument. This tool is comprised of 16 questions, each evaluated on a 5-point scale. The averages and standard deviations for each DISCERN instrument item, in addition to overall summed scores between 15 and 75 were calculated.ResultsAcross 87 eligible websites, the mean summed score was 44.80 (SD = 11.53), while the mean overall DISCERN score of each website was 2.72 (SD = 0.99). In general, websites detailed and achieved their specified aims and described treatment benefits. However, most websites failed to describe the impact of treatment on overall quality of life and the impact of a no treatment option. The highest-scoring websites were largely government or health portal websites, while the lowest-scoring websites were largely commercial in nature.ConclusionHigh variability in DISCERN instrument scores was found across all websites assessed. Healthcare providers should be aware of the fact that their patients may be accessing misinformation online surrounding the use of DHSs for weight loss. Therefore, it is important for healthcare providers to ensure that they are providing their patients with guidance on how to identify high-quality resources online, in order that safe, effective, and evidence-based decisions are made surrounding the use of DHSs for weight loss.

Embracing Change: Online Quality Assurance and Faculty Satisfaction

Despite the accepted and evolutionary presence of online delivery in the higher education context, the quality of online nursing education continues to be scrutinized. Quality assurance initiatives place increased demands on the faculty community and may be perceived by faculty as excessive institutional control. Leveraging tools such as professional development, templates, and peer auditors, one program met quality assurance standards. Associated with the program's quality assurance process, an analysis of student evaluations and faculty surveys indicates improved teaching efficacy and faculty satisfaction with courses.

Professionals\u2019 views on working in the field of domestic violence and abuse during the first wave of COVID-19: a qualitative study in the Netherlands

BackgroundThe COVID-19 pandemic and lockdown evoked great worries among professionals in the field of domestic violence and abuse (DVA) as they expected a rise of the phenomenon. While many countries reported increased DVA, the Netherlands did not. To understand this discrepancy and the overall impact of the lockdown on DVA support services, we interviewed DVA professionals about their experiences with DVA during the rise of COVID-19, the impact of the lockdown on clients and working conditions, and views on eHealth and online tools.MethodsSemi-structured interviews were conducted among 16 DVA professionals with various specializations. This data was analyzed using open thematic coding and content analysis.ResultsMost professionals did not see an increase in DVA reports but they did notice more severe violence. They experienced less opportunities to detect DVA and worried about their clients’ wellbeing and the quality of (online) care. Furthermore, their working conditions rapidly changed, with working from home and online, and they expressed frustration, insecurity and loneliness. Professionals feel eHealth and online tools are not always suitable but they do see them as an opportunity to increase reach and maintain services when physical contact is not possible.ConclusionThis study suggests DVA was probably under-detected during the lockdown rather than not having increased. The Dutch system heavily relies on professionals to detect and report DVA, suggesting a need for critical evaluation of the accessibility of professional help. Professionals experienced significant challenges and should themselves be supported psychologically and in their changed work practices to maintain their ability to aid survivors.

Evaluasi Kualitas Kesiapan Belajar Online Mahasiswa Baru Program Studi Manajemen Dakwah IAIN Pontianak

IAIN of Pontianak Dakwah Management Study Program is currently doing online learning. The implementation is surely difficult, especially for the new students. They need to be prepared in following the online learning. This condition is attracting the interest to evaluate the preparation quality. The purpose of this research is to evaluate the preparation quality of online learning the new students in IAIN of Pontianak Dakwah Management Study Program using the quantitative approach. The population of this research is all students from in IAIN of Pontianak Dakwah Management Study Program. The sampling technique used in this research is the total-sampling, where all the populations are used as the sample of research. Data collecting use the instrument for online learning preparation scale. Data analysis is conducted in two stages, where the data analysed in percentage quantitative descriptive and comparison with achievement category criteria. The results of this research show the median value of confidence dimension in using computer or the Internet for learning is 8,77. Median value for independent learning is 17,77. 8,95 are for students’ control dimension in the online-context. The learning motivation dimension in the online-context with 14,41 value, and confidence dimension in communicating online is 10,28 value.

Quality of Online Information Regarding High-Risk Pregnancies.

Health information on the Internet can have a direct effect on healthcare decision-making. However, the quality of information online has seldom been evaluated. This study aimed to assess the quality of online information on high-risk pregnancies provided by English and Korean Web sites. Through a Google search, 30 English and 30 Korean Web sites were selected on January 2 and 3, 2020, respectively, and assessed using DISCERN, a Journal of the American Medical Association, and Health On the Net Foundation code questionnaires. The data assessed were analyzed using descriptive and nonparametric statistical tests. Overall, the information provided by the English Web sites presented higher-quality information than the Korean Web sites. Most Web sites did not provide the sources of the information presented on their Web sites, meet the Journal of the American Medical Association criteria, or provide information on complementarity. Based on our results, nurses need to be competent in assessing the quality of Web sites and the health information presented there, and nursing students need to be prepared to do so as well. Nurses are responsible for educating their patients about the possibility of incorrect information provided by Internet Web sites and informing their patients about reliable Web sites, thus assisting them to make informed decisions regarding their health.

Evaluation Method of Online and Offline Hybrid Teaching Quality of Physical Education Based on Mobile Edge Computing

In order to enhance the hybrid teaching of physical education online and offline, a quality evaluation method for online and offline hybrid teaching based on mobile edge computing is proposed. Through the evaluation target, index, weight of index and evaluation standard, this paper first constructs the quality evaluation index system of hybrid physical education online and offline. Then, factor and cluster analysis on the importance evaluation grade data of each index to simplify the index items are carried out. By combined with the mobile edge calculation, the weights of quality evaluation indexes for hybrid teaching are calculated respectively, and the fuzzy comprehensive evaluation model is used to effectively realize the quality evaluation of hybrid physical education online and offline. The simulation results show that the proposed method can effectively reduce the cost and error of quality evaluation for hybrid teaching online and offline, improve the evaluation efficiency, and enhance the quality of online and offline hybrid teaching.

Fighting “bad science” in the information age: The effects of an intervention to stimulate evaluation and critique of false scientific claims

AbstractWith developments in technology (e.g., “Web 2.0” sites that allow users to author and create media content) and the removal of publication barriers, the quality of science information online now varies vastly. These changes in the review of published science information, along with increased facility of information distribution, have resulted in the spread of misinformation about science. As such, the role of evaluation when reading scientific claims has become a pressing issue when educating students. While recent studies have examined educational strategies for supporting evaluation of sources and plausibility of claims, there is little extant work on supporting students in critiquing the claims for flawed scientific reasoning. This study tested the efficacy of a structured reading support intervention for evaluation and critique on cultivating a critical awareness of flawed scientific claims in an online setting. We developed and validated a questionnaire to measure epistemic vigilance, implemented a large‐scale (N = 1081) Randomized Controlled Trial (RCT) of an original reading activity that elicits evaluation and critique of scientific claims, and measured whether the intervention increased epistemic vigilance of misinformation. Our RCT results suggested a moderate effect in students who complied with the treatment intervention. Furthermore, analyses of heterogeneous effects suggested that the intervention effects were driven by 11th‐grade students and students who self‐reported a moderate trust in science and medicine. Our findings point to the need for additional opportunities and instruction for students on critiquing scientific claims and the nature of specific errors in scientific reasoning.

Assessing the Quality and Readability of Online Resources for Plantar Fasciitis

The Internet is utilized now more than ever to research medical conditions and treatments by patients and physicians alike. The aim of this study was to evaluate the quality and readability of information available online for plantar fasciitis. Web sites were identified using the search term "plantar fasciitis." The first 25 Web sites from 5 different search engines gave a total of 125 being evaluated. Readability of each Web site was assessed using the Flesch Reading Ease score, the Flesch-Kincaid grade level, and the Gunning Fog Index. Quality was assessed using the DISCERN instrument (www.discern.org.uk) and the Journal of the American Medical Association (JAMA) benchmark criteria. The presence of Health on the Net (HON) code certification was also assessed. The authorship of each Web site was categorized into 1 of 5 categories (Physician, Academic, Commercial, Allied health or Other eg, blogs). A total of 83 Web site pages were evaluated with the majority of the web sites being authored by physicians (32.53%) and blogs (25.30%). Only 24 Web sites were HON certified (28.91%). Physician and Academic Web sites were the most credible sources, with the highest mean DISCERN (p=.00001) and JAMA (p=.0278.) scores, respectively. These Web sites were also the most difficult to read according to the readability score testing. The information available on the Internet pertaining to plantar fasciitis is highly variable and provides moderate quality information about treatment choices. Given this variability in quality, health care providers should direct patients to known sources of reliable, readable online information.

Transjugular intrahepatic portosystemic shunt (TIPS) procedure: an assessment of the quality and readability of online information

PurposeTransjugular intrahepatic portosystemic shunt (TIPS) procedure is an established procedure carried out by interventional radiologists to achieve portal decompression and to manage the complications of portal hypertension. The aim of this study was to evaluate the quality and readability of information available online for TIPS procedure.MethodsWebsites were identified using the search terms “TIPS procedure”, “TIPSS procedure”, “transjugular intrahepatic portosystemic shunt procedure”, with the first 25 pages from the three most popular search engines (Google, Bing and Yahoo) being selected for evaluation with a total of 225. Each Website was grouped by authorship into one of five categories: (1) Physician, (2) Academic, (3) For-profit, (4) Non-profit (including government and public health), or (5) Other (discussion/social media). Readability of each Website was assessed using the Flesch-Reading Ease score, Flesch–Kincaid grade level, Gunning-Fog Index, Coleman–Liau and SMOG index. Quality was calculated using the DISCERN instrument, the Journal of the American Medical Association (JAMA) benchmark criteria and the presence of Health on the Net (HON) code certification.ResultsAfter disregarding duplicate and non-accessible Websites a total of 81 were included. The mean DISCERN score assessing the quality of information provided by Websites was “good” (59.3 ± 10.2) with adherence to the JAMA Benchmark being 54.3%. Websites with HON-code certification were statistically significantly higher in terms of DISCERN (p = 0.034) and JAMA scores (p = 0.003) compared to HON-code negative sites. The readability scores of Websites ranged from 10 to 12th grade across calculators. Thirty-two out of the 81 Websites were targeted towards patients (39.5%), 46 towards medical professionals (56.8%) and 3 were aimed at neither (3.7%). The medical professional aimed Websites were statistically significantly more difficulty to read across all readability formulas (all p < 0.001).ConclusionWhile quality of online information available to patients is “good”, the average readability for information on the internet for TIPS is set far above the recommended 7th-grade level. Academic Websites were of the highest quality, yet most challenging for the general public to read. These findings call for the production of high-quality and comprehensible content around TIPS procedure, where physicians can reliably direct their patients for information.

A Study on the Effect of Service Quality of Online Shopping in China on Customer Trust, Customer Satisfaction, Repurchase Intention, and Word of Mouth

Purpose - The main purpose of this research is to find service quality factors that affect customer satisfaction and customer trust in Chinese online shopping malls, and whether customer satisfaction and customer trust have an impact on repurchase intentions and word-of-mouth intention. Design/Methodology/Approach - By analyzing the service quality, customer satisfaction, customer trust, repurchase intentions and word-of-mouth intention of online shopping malls, its measurement model can be determined. On this basis, we put forward research recommendations and established an empirical research model. Findings - The results of this study are as follows. First, product price, product quality, product diversification, logistics, product after-sales service, shopping mall-availability, and shopping mall interaction of online shopping malls have a positive direct impact on customer trust and customer satisfaction. Secondly, customer satisfaction has a positive and direct impact on customer trust. Finally, on the basis of the research results, this paper puts forward some suggestions for how to improve the service quality of online shopping malls. Research Implications - In order to survive in the fiercely competitive online shopping malls, it is very important to strengthen customer satisfaction and customer loyalty by improving service quality. Therefore, this study extracted eight service quality factors that affect Chinese consumer’ use of e-commerce shopping malls, product price, convenient shopping mall, product quality, product diversification, logistics, product after-sales service, shopping mall availability, and shopping mall interaction, and learned how service quality factors affect customer satisfaction and trust, thereby improving customer satisfaction from the perspective of shopping mall operators. For this reason, policy implications for the need to improve service quality factors are put forward.

A System for Providing Insights on a Tourist Spot based on Text Mining

In this paper, we introduce a framework that simplifies the process of finding information about a city. This is helpful when people are looking for information on various cities before planning a trip. As visiting various online portals and collecting information is a time consuming and tedious task , we design a service that automates this task. We also provide reviews and analyze them using sentiment analysis. This will provide better insights to the user. The text database is generated dynamically using web scraping hence the quality of final results depends on the quality of content available online.

Factors Affecting Quality of the Online Delivery Service among Undergraduate Students

The quality of service derived from online delivery service is very paramount to customers and the service providers since there is now a drastic shift by people to buy and sell via the old-style to doing businessonline and as such, quality of service delivery among other factors should be the hall mark. The aim of this paper is to investigate the factors affecting the quality of online delivery service among the students of University Malaysia Kelantan (UMK). The probability sampling technique with emphasis on simple random sampling technique was used in this study wheredata was obtained using questionnaire and analyzed using the Statistical Package for Social Science (SPSS) software from 385 respondents from UMK, City Campus. A pilot test on the validity of the questionnaire was conducted and the reliability test results show that all the variables are above 0.7 Cronbach’s Alpha value an indication of acceptability.The analytical results show that service speed, service price, information quality and perceived risk has positive affect on the online shoppers’ perception towards delivery service quality of online shopping. While, Pearson correlation revealed that service speed and information quality obtained the value under the high positive correlation; service price and perceived risk under negligible correlation. In testing the hypotheses of the study, itindicates that service speed and information quality hypotheses have strong relationship with the dependent variable while service price and perceived risk hypotheses had very low relationship with the dependent variable. This study was therefore based on the SERVQUAL model to determine customers perception on online shopping context. The study recommends that different methodologies can be used by future researchersby conducting interview, or broadening the scope of the study in order to find out the exact perception of customers like students on online shopping towards delivery service quality of online shopping.Therefore, the result of this study can be used as a reference by the practitioners or the online stores, enrich the body of knowledge as well as form basis for future researchers that are interested in this field.

PEMBELAJARAN MATEMATIK SECARA ATAS TALIAN SEMASA PERINTAH KAWALAN PERGERAKAN

Online learning is a new learning method that all students need to follow during movement control commands. Therefore, this study was conducted to examine student’s perceptions of online mathematics learning, identify online mediums for mathematics learning preferred by students and identify differences between gender on online mathematics teaching and learning during the period movement control order. This study is a descriptive quantitative study that uses questionnaires as research instruments. The questionnaire was distributed online using Google Form and completed by students learning Mathematics subjects in June 2020 session at Gerik Community College. The number of respondents for this study is 32 people. The analysis was conducted in the form of frequency, mean score, and T-Test. The results of the study found that students’ perceptions using online method towards mathematics is at a high level. Students also like learning using telegram medium compared to Google Classroom. The T-Test found there are no significant differences between male and female students on online learning using Telegram and Google Classroom. This study can help lecturers to improve the quality of teaching and learning online and ensure that all students do not fall behind in current technological developments.