Traditional Online Research Articles

An evaluation method of English online learning behaviour based on feature mining

In order to overcome the problems of low precision of feature retrieval and poor clustering effect of traditional online learning behaviour evaluation methods, this paper designed an English online learning behaviour evaluation method based on feature mining. Firstly, the unbiased estimation theory is used to quantitatively sample English online learning behaviour. After data preprocessing, the clustering centre is divided. The data is allocated to different clusters through clustering processing, and the feature mining results are obtained through iteration. Then the evaluation index system is constructed, and the final evaluation results are obtained on the basis of the grey interval clustering treatment of the evaluation index. According to the test results, the retrieval accuracy of behaviour features of method of this paper is closer to one, and its clustering effect on different online learning behaviour features is good, which proves that it has achieved the design expectation.

Machine Learning and Cloud Computing Case Study for Online App Usage Tracking

Scalability, data processing, and real-time insights are not present in traditional online app usage tracking. ML can overcome these restrictions and open new possibilities with cloud data, in accordance with this study. In our case study, cloud data and ML boosted how a fitness software tracked user activity hours. Cloud systems store and manage massive amounts of user activity logs, device data, and network traffic of program usage. ML systems can learn trends, predict user behavior, and gain insights from this data. Fitness app data accuracy, user experience, and scalability improved with these technologies. On other web app domains, this method can improve user engagement tracking and personalization.

How eye tracking can predict consumer behaviour preferences on mobile devices

The use of mobile devices and scope of multimedia tools is growing rapidly, which evokes the need to search for new approaches in the field of human–computer–mobile interactions. The objective of this paper is to test how appropriate eye-tracking technologies are for answering mobile questionnaires in the context of human–mobile interaction and consumer behaviour management. This research studies the possibility of answering screen-based questionnaires simply by looking at the question items using a mobile device in comparison to the classical online questionnaire in which the user needs to click the answers. We compared the data from the eye-tracking (implicit questionnaire — question items are simply placed on the screen without scale) and the classical screen-based questionnaire with continuous scale (explicit questionnaire). Data were processed on a biometric software platform. This research could have a broad range of implications in the multimedia and mobile industry, with both scientific and commercial applications. This research opens new avenues for further research into every interaction between mobile users and mobile websites and apps that substitute traditional online interactions with biometrics.

Effects of Live Streaming Commerce on Returns and Measures for Return Avoidance from a Customer’s Perspective

While live streaming commerce enriches product presentation and expands the scope for interaction compared to traditional online shopping, this retailing approach often leads to spontaneous purchases. Hence, the hurdle for returns is comparatively low, and this is particularly the case with fashion items. We have identified eleven measures to avoid returns from the literature and an evaluation of fifty-seven experienced users. A sample of 509 Chinese participants was analysed, and their influence on customer satisfaction was evaluated using the Kano model. Truthful product description, detailed product information, live interaction, and personal customer service during the post-live streaming stage are viewed as valid performance measures, and the absence of a detailed description of the shipping and delivery times and return policy is a basic source of dissatisfaction. Our recommendations to platforms and streamers include presenting detailed product information during live streaming, refraining from deceptive advertising, and providing sufficient staff for after-sales service.

Identity-Based Key Management Scheme for Secure Discussion Group Establishment in DOSNs

Distributed online social network (DOSN) solves the challenges of single-point failure and user data privacy faced by traditional online social network (OSN). Online discussion group, allowing a user to facilitate the communications with other users, is one of the most important components of (D)OSN. Key management is the key technology to ensure the secure establishment of discussion groups in DOSNs. However, the existing key management schemes for secure discussion group establishment in DOSNs cannot meet the requirements of sender non-restriction, receiver controllability, round optimal, certificate freeness simultaneously. In this paper, we propose a novel key management scheme for secure discussion group establishment in DOSNs. In our scheme, any user could use our key management scheme to initialize a discussion group with a piece of discussion group information. Users who are interested in the group topic contained in the discussion group information can join and leave the discussion group at any time once the discussion group is initialized with one-round communication. Any user/sender can find the users that he/she wants to communicate with by looking up the discussion group information of a discussion group and then send encrypted messages to some or all of the users in the discussion group. Therefore, our scheme achieves sender non-restriction, receiver controllability, round optimal, certificate freeness simultaneously. Security analysis also shows that our scheme achieves confidentiality, authentication, full collusion resistance, known-key security and perfect forward security.

Effectiveness of traditional and digital advertising platforms for the marketing of tourism

This study seeks to measure the effectiveness of traditional media in promoting tourism in this digital age in KwaZulu-Natal, South Africa. This study employed a descriptive research design and a questionnaire was used to collect the data. The findings revealed that traditional and online media are more or less equally competitive in promoting tourism. Traditional media is still effective in promoting tourism in this digital age, especially in the domestic market. The study concluded and recommended that tourism marketers and authorities must come to terms with coexistence with traditional media and online media. There is no need to rely on one media to do it all. Where traditional media is lacking, online media must be there to make up for the difference and enhance the tourist experience.

Improving the Least Mastered Competencies of Grade 11 Students in General Chemistry using Electronic Strategic Intervention Material (E-SIM)

Students perceive chemistry as a complex subject resulting in low academic performance. Education systems shall support students in bridging the gap between traditional learning and online set-up using technology-based materials. The Electronic Strategic Intervention Material (E-SIM) is a new learning method to help improve the learner’s performance in the least mastered competencies. This study focuses on determining how the E-SIM for “Ganyan Ang Bonding” (in English: Bonding Goes Like This) topic will improve the Grade 11 students’ knowledge about chemical bonding. The researchers used a one-group pretest-posttest control design. The population was pooled using simple random sampling and out of the randomly selected sections, twenty-two students were qualified after the voluntary response sampling. Pretest and posttest, which underwent validation, were given before and after the intervention respectively. The material was validated by experts prior to its utilization. The analysis showed a 0.01 normalized gain score, which is confirmed by the paired sample t-test with a result of -3.17 and p-value of 0.0023, hence presenting that there is a significant increase between the pretest and posttest scores. The student perception survey was used to further determine the efficiency of the material, which showed that the students perceived the E-SIM as an effective tool as review material.

Technology Trends in Banking System and its Impact on Population of Different Ages

The paperwork aims to analyse the rapid advances in technology trends implemented in the banking system and how it affects the population of different ages, because, as it is known, we assist in a massive changing of demographics and lifestyle of people. To achieve this aim, the main points to be discussed are the traditional branch banking, which is giving place to electronic bank- ing and, even more recently, to mobile banking and, how people are adapting to these ascending trends. The empirical research was done using Quantitative Method – Survey and Qualitative Method – Structured Interviews and provides important information on accessibility to mobile banking, relationships between age and usage of credit cards, going to traditional banks or going online and forecasts for the future of banking system.

Online Resource Allocation with Noisy Predictions

Brief Biography: Jessica Maghakian is a final-year PhD candidate in Operations Research at Stony Brook University. She has collaborated with several industry partners and interned at Microsoft Research NYC. Jessica's research combines data-driven decision making with traditional online algorithms approaches to solve challenging resource allocation problems that arise in IT infrastructure systems. Her work has been awarded an NSF Graduate Research Fellowship, a Stony Brook University STRIDE Fellowship for excellence in visualization, science communication and decision-support, and a Best Paper Nomination at ACM e-Energy. She received her Bachelors of Science from the Massachusetts Institute of Technology (MIT) with a double major in Mathematics and Brain and Cognitive Sciences.

WHAT WE KNOW AFTER THE PANDEMIC. ONLINE AND FACE-TO-FACE TESTING IN COMPARATIVE PERSPECTIVE

The article aims to find out the impact of online education on on-site education by analysing the results achieved by the respondents in the tests. We used descriptive statistical methods to analyze the data. The reason was that such methods allow us to better understand the correlation between the results obtained in traditional testing and online testing. The research was conducted in the summer semester of the academic years 2020/2021 and 2021/2022. 2508 students of the University of Economics in Bratislava participated in the research. The respondents were first-year Bachelor's degree students at the University of Economics in Bratislava whose first foreign language was professional English. When analyzing the data we took into account the test results, the number of students who did not take the test, the number of students who had to retake the test, and the number of students who did not take the test. The results confirmed that students who took the test in the home environment performed significantly better than students who took the test in person at the university. The results of on-site education were influenced by the online learning process. As students adapted to the online environment, they changed their study habits, which had a negative impact on learning. This negative impact was also reflected in the results of the on-site testing. The solution to this situation is to better prepare teachers for online learning and to ensure that schools are equipped with the latest technology.

Students motivation as predictors of learning satisfaction in a synchronous hybrid learning space

Although student motivation competencies were observably strong predictors of student learning satisfaction in wholly on-site or online contexts, the relationship between student motivation and student learning satisfaction in synchronous hybrid learning spaces was understudied. Consequently, the purpose of this study was to investigate student motivation as the learning competency that predicts student learning satisfaction in synchronous hybrid learning space. This study utilized a descriptive research design to gather quantifiable data from the 169 respondents from a Technical and Vocational Education and Training (TVET) institute located in Kuching, Sarawak. These respondents’ motivation competencies and learning satisfaction in a synchronous hybrid learning space were investigated and the data collected were statistically analysed to investigate the extent to which student motivation affects student learning satisfaction in a synchronous hybrid learning space. The study's findings demonstrated that student motivation namely, intrinsic goal orientation, extrinsic goal orientation, and self-efficacy, can predict student learning satisfaction in synchronous hybrid learning spaces in addition to traditional on-site and online learning settings. To add value and further support the potential of this learning environment, the results of this study were meant to guide practice and policy relating to the design and implementation of synchronous hybrid learning.

Research on Innovative Marketing of Baltic Amber Jewellery in China Market

Affected by the Novel Coronavirus epidemic, the challenge for SMEs in 2020 will change from “difficult mode” to “hell mode”. In order to prevent cross-infection, offline retail, catering, tourism, supermarkets, vegetable markets and other traditional industries are almost closed. In other industries, most companies have delayed the resumption of work, but rent and wages are still paid. Under the huge cost pressure, many enterprises are facing a crisis. In Latvia, one of the three Baltic states, Baltic amber processing and retailing is an industry heavily dependent on tourism, and local amber souvenirs and jewellery have been severely affected by the outbreak. The transformation of marketing channels is therefore a priority for Baltic Amber jewellery sellers. In the traditional online marketing, Baltic amber jewellery is not easy to be recognised by the majority of Chinese consumers because of its own characteristics, so on the basis of a variety of online marketing, the marketing of Baltic amber still needs innovation to achieve the expected marketing goals. With fierce competition from rivals in online marketing in China, there will still be many difficulties, among which the biggest difficulty is that many sellers on Douyin platform are selling fake amber. And many Chinese consumers lack sufficient ability to purchase the authentic Baltic amber. Based on these problems, the author takes Georgs Romulis /Amber with Soul Baltic amber jewellery brand as the research subject and potential consumers of Baltic amber on the Douyin platform as the research object to carry out the new online marketing methods. The author takes the literature method, statistical analysis, and comparative analysis as the research methods. Through Douyin and WeChat platforms, the author create the Douyin-WeChat Network Marketing Model as the innovative way to enlarge Baltic amber marketing in China. Finally, the author finds that an innovative way of online marketing method for Baltic Amber is to find target customers through Douyin platform, communicate with potential customers and get their payment through WeChat platform.

The Role of FinTech and BigTech in the Global Banking Sector

The linkages between banks, FinTech, and BigTech are examined in this article along with some cutting-edge methods for financial digitalization. It also offers fresh ways to gauge consumer reactions to and adoption of financial digitalization. This study aims to describe the effects of FinTech and BigTech on the worldwide banking industry. The capacity to control information sharing is a major differentiator in competition between traditional banks and online firms. While regulations continue to evaluate how to provide a level playing field, industry participants are presenting a number of solutions, many of which are focused on collaboration. The investigation for this topic included the use of a computer and the analysis of secondary data. Researchers and practitioners can both benefit from the findings by understanding more about how FinTech and BigTech operate in the global financial industry. Academics and professionals in business should think carefully about the conclusion's important implications.

Classroom Community and Time: Comparing Student Perceptions in Traditional vs. Accelerated Online Courses

Online educators regularly experiment with ways to create a sense of classroom community in the online courses they design and teach. They do this in part to battle feelings of isolation and loneliness but also to align with prevailing theories of learning (e.g., social constructivism) as well as to mimic idealized in-person face-to-face learning experiences. However, little is known about how well a sense of community is developed in accelerated online courses. Given this, we investigated students’ perceptions of classroom community in traditional length online courses (e.g., 15-week courses) and accelerated online courses (e.g., 7-week courses) taught by the same instructors. The results showed that there was not a statistically significant difference in students’ perceptions of classroom community between the 15-week and 7-week courses. Students in this study rated the accelerated 7-week courses as having a higher sense of classroom community. In this paper, we present the results of our inquiry. We conclude with the implications of our research on research and practice.

Paramedic Clinical Consults with a Paramedic or Nurse in an EMS Communications Center Compared to Traditional Online Physician Consults

Objectives In many emergency medical services (EMS) systems, a direct medical oversight physician is available to paramedics for mandatory and/or elective consultations. At the time of this study, a clinical support desk (CSD) was being implemented within the medical communications center of a provincial EMS system in addition to the physician resource. The CSD was initially staffed with a registered nurse or an advanced care paramedic. The objective of the current study was to compare CSD “peer to peer” consults versus physician consults with regards to consultation patterns, transport dispositions, and patient safety measures. Methods This retrospective cohort study analyzed 2 months before (September 1 to October 31, 2012) and 2 months after (September 1 to October 31, 2013) implementation of the CSD. In the before period, all clinical consults were fielded by the direct medical oversight physician. In the after period, consults were fielded by the physician, CSD or both. EMS databases were queried, and manual chart review and abstraction of audio recordings were done. Relapses back to EMS within 48 hours of non-transport were measured. Results 1621 consults were included, with 764 consults in the before period and 857 after (p = 0.02). The number of physician consults decreased from 764 before to 464 after (39.2%, p < 0.001), with the CSD taking 325 (37.9%) consults. The CSD was consulted more for police custody and trip destination. The physician was consulted more for cease resuscitation and clinical consults prior to medication administration. Overall non-transport rates were 595/764 before (77.9%), and 646/857 after (75.4%) (p = 0.2). Non-transports were 233/325 (71.7%) via the CSD, 364/464 (78.4%) via the physician, and 49/68 (72.1%) when both were involved (p = 0.07). Rate of relapse to EMS was similar before (25/524, 4.8%) and after (26/568, 4.6%) (p = 0.76), and between CSD (12/216, 5.5%) and physician consults (13/325, 4.0%) in the after period (p = 0.41). Conclusion The introduction of a novel “peer-to-peer” consult program was associated with an increased total number of consults made and reduced call volume for direct medical oversight physicians. There was no change in the patient safety measure studied.

Online Anomaly Detection for Aeroengine Gas Path Based on Piecewise Linear Representation and Support Vector Data Description

The online anomaly detection of an aeroengine gas path system is very important to ensure the safety of aircraft. The traditional online anomaly detection method based on a sliding window has many shortcomings, which leads to the lack of accuracy of anomaly detection. In addition, the extreme lack of abnormal samples is also a difficult problem for engine anomaly detection. Therefore, this article proposes an anomaly detection method based on piecewise linear representation (PLR) and support vector data description (SVDD). First, the monitoring data of the aeroengine gas path are segmented and linearly represented so that the data in each segment have basically consistent changing trends, which can make up for the defects of the traditional sliding window. And an improved online segmentation method is proposed that increases the efficiency of the segmentation algorithm. Then, segment features are extracted, and input samples for the anomaly detection model are constructed. The classification model employs SVDD that requires only normal samples. The SVDD model is trained on the offline normal samples and anomaly detection is performed on the online samples. Experimental results show the superiority of this method in aeroengine gas path anomaly detection.

A method for digital business ecosystem design: situational method engineering in an action research project

Digital business ecosystem (DBE) is a paradigm that enables developing and monitoring novel business models of collaborating organisations and individuals using ICT as the foundation. Different from traditional online networked models such as manufacturer, retailer, or franchise centred, using a shared digital environment, DBE fosters heterogeneity, symbiosis, coevolution, and self-organisation of its multiple actors, which enables it to span different business domains as well as exhibits diverse interests. For many organisations and individuals, DBE presents a new collaborative approach to leverage offered and desired resources among the involved members to meet each of their goals. As such, it is foreseen to be of high value to the involved actors, but at the same time, it is often complex due to many correlated interactions of these actors and thus difficult to design and manage. Furthermore, the current state of the art shows a lack of methodological guidance for DBE design. We propose a method for DBE design that follows the requirements collected from industry experts and practitioners by applying situational method engineering to enable its modularised design. The method for design is validated by action research in the setting of Digital Vaccine, a Swedish DBE managing health-related services.

Design and Implementation of Online Japanese Examination System Based on Genetic Algorithm

In order to solve the problem of online inspection of students’ theoretical knowledge of Japanese, this paper further optimizes and adjusts the design of the online Japanese examination system and presents an online Japanese examination system based on genetic algorithm. Taking the Japanese test as the research object, on the basis of comprehensively analyzing the problems of slow test paper composition, low success rate, and low quality of traditional online test systems, an intelligent test composition model based on genetic algorithm is proposed, and the implementation process of genetic algorithm and the key steps are described in detail. The results show that the online Japanese examination system based on genetic algorithm can meet the needs of test paper generation in more complex situations. After a long time of operation and continuous improvement, the online Japanese examination system has obtained the adaptability of the best solution. The value of the fitness is 99.666667; when the fitness is at this value, the error of the question type score of the test paper is 0, the average difficulty error on the test paper is 0, and the error of the section test point distribution is 0.666667. This fully illustrates the stability and effectiveness of the Japanese online examination system, which can meet the needs of daily Japanese majors and improve the efficiency of Japanese teaching.

Research on the Influence of Socially Regulated Learning on Online Collaborative Knowledge Building in the Post COVID-19 Period

Online teaching has become an important initiative to maintain normal educational order in the post COVID-19 period. However, learners face multiple challenges in the online learning process, which cannot be successfully carried out without the support of socially regulated learning (SoRL). This study designed SoRL intervention strategies from the perspective of shared metacognitive scripts. A total of 77 undergraduate students participated in this study and were randomly assigned into experimental and control groups. The students in the experimental group received an SoRL intervention, and the students in the control group learned with the traditional online collaborative learning approach. The results showed that there was variability in the supply of SoRL intervention scripts and the actual selection status of the learners. The regulation foci activated in this study were time management, content monitoring, and atmosphere activation. Atmosphere activation drove collaborative learning activities to continue. Time management and content monitoring drove collaborative knowledge building (CKB) to a deeper level. This study is of great significance in revealing the impact mechanism of SoRL on CKB.

Current Situation and Hotspot Analysis of Blended Teaching based on Bibliometrics

With the rapid development of information technology and data science, blended teaching has received widespread attention. It has both the dual advantages of offline traditional teaching and online learning, and its flexible organization, diversified resource forms and interactive ways are favored by many educational researchers at home and abroad. In order to understand the development status and hot spots of blended learning more intuitively and clearly, this paper takes the research papers of blended learning in the recent ten years from the Web of Science database as samples to quantitatively analyze the literature quantity distribution and development situation of blended learning. The bibliometric tool CiteSpace was used for visual analysis, and the evolution trend of blended teaching research content was sorted out by keyword co-occurrence analysis and cluster analysis. This paper further summarizes the development hotspots of blended learning.