Reviewerly/exHarmony huggingface dataset:
Learning Student Intents and Named Entities in the Education Domain

Detecting intents and extracting necessary contextual information (aka named entities) in input utterances are two fundamental tasks in understanding what the users say in chatbot systems. While most work in this field has been dedicated to high-resource languages in popular domains like business and home automation, little research has been done for low-resource languages, especially in a less popular domain like education. To narrow this gap, this paper presents the first study on learning to detect student intents and to recognize named entities in the education domain targeted to the Vietnamese language. Specifically, we first introduce a complete corpus consisting of 3690 utterances of students. It was manually annotated with both named entities and intent information at two levels of granularity: the fine-grained and the coarse-grained levels. We then systematically investigate different approaches to deal with the two tasks using not only independent but also joint learning architectures. The experimental results show that the joint architectures based on pre-trained language models are superior in boosting the performance of both tasks. They outperformed the conventional independent learning architectures which looked at the two tasks separately. Moreover, to further enhance the final performance, this paper proposes a technique to enrich the models with more useful linguistic features. Compared to the standard approaches, we achieve considerably better results for two tasks in both architectures. Overall, for the named entity recognition task, the best model yielded an F 1 score of 88.61%. For the intent detection task, it yielded F 1 scores of 94.36% and 91.62% at the coarse-grained and fine-grained levels, respectively.
Design and Evaluation of Technologies for Informed Food Choices

Technology increasingly mediates our everyday interactions with food, ranging from its production and handling to the experience of preparing and eating it with friends and family. However, it is unclear whether these technologies support decisions conducive to a healthy diet. In this work, we devised the first heuristics for evaluating a technology’s support for food literacy: the interconnected combination of awareness, knowledge, and skills to empower individuals to make informed food choices. We applied an iterative, expert-driven process to derive and refine our heuristics, starting with an established food literacy framework. We then conducted evaluations with Nutrition and HCI experts to show how the heuristics support the summative and formative design and evaluations of food-related technologies. We show that the heuristics are valuable design tools and that they help participants reflect on food literacy challenges. We also discuss tensions between nutrition and HCI best practices.
UTILIZATION OF INFORMATION TECHNOLOGY AMONG SCHOOL UNDERSTUDIES IN THE TERRITORY OF TELANGANA, INDIA

The fundamental goal of this paper is to explore the utilization of information technology among the school understudies in the Telangana schooling system, their advantage in the software engineering subject, and their discernment in software engineering professions.The understudies are the fate of our reality.The use of Information and Communication Technology (ICT) tools and advanced technologies can play a vital role in order to shape their academic career.In this paper, we discuss the various Information Technology (IT) tools that have been adopted by the students for their learning purposes.This paper researches the demeanor of understudies towards software engineering and related vocation decisions, their insight in software engineering, and the wellspring of inspiration towards software engineering.Uplifting outlook has been found among understudies being used of IT apparatuses.Understudies have decent information and mindfulness towards computers and the wellspring of inspiration relies upon their advantage.
An Integrated Methodology of TsF-KNN-Based Automated Data Classification and Security for Mobile Cloud Computing

In present days, most of the communication systems need the cloud technology. The data is transferred between the number of devices, so there is a chance of threats in the transformation of data. This can be prevented by using the data protection techniques. The security of the communication is required, and personal data can take more interest on this security of big data mobility. The present systems which provide the security are not having that much of efficiency because of its data determining techniques. For efficient data management, machine leaning (ML) is used by the big data mobility. In a document public data and secret data, prediction is more complicated even by using some existed machine learning algorithms. Therefore, an integrated methodology-based automated data classification and security for mobile cloud computing of Training dataset Filtration Key Nearest Neighbor (TsF-KNN) classifier is introduced in this paper. This classification secures the mobile big data training datasets by using the integrated methodology with TsF-KNN classifier and Hadoop Distributed File System (HDFS). This process gives the best security in confidentiality level of the records. So the proposed model improves the security of the cloud system data mobility.
Recognition of Hand Gesture-Based Sign Language Using Transfer Learning

Sign languages are the natural languages of the deaf and dumb community and provide access to communication. The discipline of sign language recognition and translation is exploding. Hand gesture-based sign language recognition is a fortunate application of human–computer interaction. A developed model detects sign language gestures involving feature extraction and classification. This work presents transfer learning-based image recognition models using VGG16 and ResNet50 to translate static hand gestures into text with 57 gesture classes. Fine-tuning hyperparameters of VGG16 and ResNet50 are used to further improve image recognition accuracy. The test results are compiled and evaluated on the large-scale dataset and showed that the recognition rate was significantly improved compared with Support Vector Machine, Random Forest, Logistic Regression, and XGBoost.
The Structural Relationship Educational Service Quality, Participative Motivation, Academic Efficacy and Career Decision Level Adult Learners in Chinese Degree Acquisition Process

[Purpose] This study aims to examine the structural relationship between educational service satisfaction, participation motivation, academic efficacy, and career decision level for adult learners in the Chinese degree acquisition process.&#x0D; [Method] In order to achieve this purpose, the relationship between educational service satisfaction, participation motivation, academic efficacy, and career decision level was analyzed using SPSS 21.0 and AMOS 21 programs.&#x0D; [Results] First, the main research results showed that the educational service satisfaction recognized by adult learners in the Chinese degree acquisition process had a significant effect on participation motivation, academic efficacy, and career decision level. Second, it was found that participation motivation and academic efficacy had a mediating effect on the relationship between educational service satisfaction and career decision level recognized by adult learners in the Chinese degree acquisition process.&#x0D; [Conclusion] In order to recognize academic efficacy based on these points, it is necessary to create an educational atmosphere that can increase confidence by accurately identifying learners' competencies and using learners' experiences in the learning process.
A Study on the Mediating Effect of Hope in the Relationship between Anxiety and Career Adaptation of College Students In the Era of New Normal

Objectives The purpose of this study is to examine the mediating effect of hope in the process of influencing career adaptation of anxiety in college students in the New Normal era.&#x0D; Methods Data were collected by measuring the size of anxiety, hope, and career adaptation for 109 college students randomly sampled from one university in Gyeonggi-do, and the collected data were analyzed using SPSS 22.0.&#x0D; Results First, anxiety was found to have a negative effect on career adaptation, and hope was found to have a positive effect on career adaptation. Second, in the relationship between anxiety and career adaptation, hope was found to have a mediating effect. Specifically, the path of hope thought showed a partial mediating effect on interest control, a sub-factor of career adaptation, and a complete mediating effect on curiosity and confidence. The leading thinking of hope showed a partial mediating effect on the control of career adaptation, and a complete mediating effect on curiosity and confidence.&#x0D; Conclusions Based on these research results, suggestions were made on the necessity of developing customized programs for motivation considering the unique characteristics and potential of each college student in relation to anxiety, hope, and career adaptability of college students.
A structural relationship between achievement goal orientation, academic self-efficacy, self-directed learning ability, and academic achievement in adolescence

Objectives This study aims to examine the effects on personal factors and development through differences in achievement goal orientation, academic self-efficacy, and self-directed learning ability levels according to individual student variables.&#x0D; Methods A survey was conducted on male and female students in the first and second grades of four high school in Seoul. In addition, main research conducted structural equation model analysis on the collected research data.&#x0D; Results First, mastery approach, mastery avoidance, performance approach, and performance avoidance were significant in academic self-efficacy. And it was confirmed that the self-directed learning ability was affected by mastery approach and mastery avoidance. Second, it was analyzed that academic self-efficacy completely mediated the relationship between mastery approach, mastery avoidance, performance approach, performance avoidance and academic achievement, which are the sub-factors of achievement goal orientation. And it was confirmed that self-directed learning ability completely mediated the relationship between mastery approach and mastery avoidance, which are sub-factors of achievement goal orientation. Through this, direct and indirect effects between variables were confirmed.&#x0D; Conclusions The implication of this study was confirmed that in order to improve academic achievement in the educational field, it was necessary to provide a positive and future-oriented achievement goal of learners, to present learning methods, and to take a rational and strategic approach that considers.
A Qualitative Study for the Effective Design and Practice of Creative Experience Activities of the 2022 Revised Curriculum: A Critical Analysis into Elementary Teachers’ Experiences

Objectives This study was to understand how creative experience activities are currently being operated in elementary schools and to find ways of the effective application and improvement of the creative experience activities of 2022 Revised Curriculum. In particular, the purpose of this study was to focus on how the domain and content of creative experience activities are being applied in elementary schools, and whether the creative experience activities are being revised by properly reflecting the opinions and experiences of teachers.&#x0D; Methods An qualitative research was used for the study, including in-depth interview and document analysis. 10 public elementary school teachers were invited as research participants. The researchers collected data about how elementary school teachers plan creative experience activities, and how they apply the plan. Various school curricula documents were also collected. For the analysis, the researchers followed the process of the comprehensive analysis procedure of qualitative research.&#x0D; Results First, most of the teachers responded that autonomous activities are a curriculum component when the schools and teachers could freely organize. Yet, in actual operation, the problem of teachers' lack of autonomy was revealed. Second, club activities were found to be the area where teachers' opinions and thoughts were most reflected. However, support for teachers was lacking and, contrary to the original intention, students' opinions were mostly ignored. Third, volunteer activities needed the most improvement among elementary school creative experience activities. Fourth, career activity was the area where teachers showed the greatest difference in perception and practice. Although new attempts and creative classes for effective management of career activities were observed, they were also operated in a way that was most unsuitable for the educational goals of elementary schools or the developmental level of the students.&#x0D; Conclusions At the elementary school level, teachers believe that creative experiential activities play as important role as the subjects, but in actual practice, they were unable to practice creative experiential activities according to the original purpose of the curriculum. Insufficient support and interest of teachers also hindered the effective implementation of creative experience activities. To solve the problems, solutions such as appropriate content distribution and balance between the four domains, restructuring goal statements of each domains, and enhancing teachers’ and students’ autonomy were suggested.
SMART CANE WITH VITAL MONITORING AND LOCATION TRACKING

Assistive IoT technologies are powerful tools to increase independence and improve participation. Real-time Falls are currently a leading cause of death from injury in the elderly. The usage of conventional assistive cane is critical in reducing the risk of falls and is relied upon by many elderly patients. But the conventional cane does not prove any additional assistance other than physical support. In the past few decades, the technology boom has unleashed an enormous potential to explore and implement various assistive devices for the elderly to lead their life independently. In this paper, we present the design and implementation of a prototype which would serve as an efficient aid for the elderly. This stick is embedded with various features making it a Smart walking stick. This walking stick can monitor various health parameters and informs the nearby primary health center and caretaker of any abnormalities. This smart stick can also help elder persons to reach home safely if they lost themselves when go out alone. We propose a system in which we integrate a vital monitoring system which continuously monitor the vitals of the elderly person and warns if the values are off by a significant amount. The proposed system also provides a convenient way for location. The cane is also fitted with an emergency button which when pressed triggers a loud alarm indicating that the elderly person is in danger. This stick is tested to verify the functionality of all features and this would be very useful for elders to restore their confidence and increase mobility when compared to the conventional sticks available in the market only for walking.
Imprint: Geomechanics and Tunneling 5/2022

Geomechanics and TunnellingVolume 15, Issue 5 p. 679-679 ImprintFree Access Imprint: Geomechanics and Tunneling 5/2022 First published: 04 October 2022 https://doi.org/10.1002/geot.202270507AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume15, Issue5October 2022Pages 679-679 RelatedInformation
Efficient Resources Utilization of Containerized Applications Using TOPSIS

Highly demanding services require an appropriate amount of resources tomanage the fluctuating workload in cloud environment, which is a challenging task forcloud service provides over the Internet. Cloud providers offer these services to enduserwith pay and use model, such as utility computing. The services are offered toend-user by a cloud provider in a shareable fashion over Infrastructure-as-a-Service.So, IaaS is a type of computing service on which third parties host their application onvirtualized platforms, such as either VMs or Containers. Whenever some containers areoverloaded or under-loaded, it may cause SLA violation, degrade performance, cosumemaximum energy, and also cause minimum throughput and maximum response time. Italso leads to minimizing the customer satisfaction level along with cloud providers,leading to the penalty. The services hosted on VMs or Containers are highlydemanding services, and these highly demanding services are handled with the help ofload balancing. Load balancing is a way to automatically transfer the incoming requestsor load across a group of back-end containers. It improves the distribution of workloadacross multiple virtual machines. Traditionally, load balancing algorithms use one ortwo parameters to balance the load. In this paper, we used one of the popularoptimization techniques, namely the Technique for Order of Preferences by Similarityto Ideal Solution (TOPSIS) algorithm to manage the incoming traffic with the multiplecriteriadecision-making (MCDM) technique. When the proposed technique wascompared with different other techniques, such as round robin, it was found thatTOPSIS gives better performance in terms of efficient resources utilization. It alsominimizes the average response time, which prevents the machine from gettingoverloaded.
The ontological beginning of fantasy

Introduction. The article presents the ontological aspect of fantasy as a form of scientific knowledge. The concept of the role of normative scientific and cognitive structures and creative cognitive potential, which has ontological roots, in scientific knowledge is being developed. The study is conducted using works on the history and philosophy of science. The focus is on factors that are immanent to science and external to it, capable of not only influencing scientific activity, but also leading to a change in the types of rationality. Theoretical analysis. The ontological approach allows us to conclude that the mind and imagination are correlated at different stages of the development of knowledge in the scientific and cognitive process. Fantasy as a form of imagination can be used in the formation of a scientific fact, problem, hypothesis and theory. Techniques of fantasy can be considered such methods in scientific activity as analogy, typification, emphasis, eclecticism, which expand the scientific space and illustrate the features of post-non-classical scientific rationality, taking into account the worldview features of the mind. Conclusion. The ontological substantial beginning of fantasy is words, which are signs-symbols, filling and shaping the mental space of the subject, prompting the subject to a constant search for the unknown. At the same time сonsideration of the problem made it possible to identify the ontological beginnings of the fantasy phenomenon and to interpret the influence on scientific activity not only of the process of symbolization, ethical norms, metaphysical research programs, but also of the emotional reactions of the subject.
A Study on the Effect of Program Satisfaction on Learning Competency and Learning Continuity in the Comparative Department of University

This study compared the impact of satisfaction for the development of core competencies in non-subject programs designed based on the core competencies of K-CESA on the will to continue education. The scope was limited to the Writing through Appreciation of Culture and Arts program conducted by S University in Dangjin, Chungcheongnam-do. First, the results of the study showed that the six core competencies have a common relationship with the willingness to continue learning through their relationship with satisfaction. Second, among the core competencies, learners understood culture and arts in terms of information and technology and participated with the aim of developing self-management-oriented capabilities. However, while feeling burdened by the creative process of writing, understanding art has been shown to affect the development of interpersonal relationships.
A Case Study on D University English Presentation Competition: Focusing on College Students’ Attitude and Satisfaction

The purpose of this study is to find out and suggest students' satisfaction, English ability, and improvement points through the case of English presentation competition held by D University of Chungcheongnam-do. For this purpose, an online survey was conducted for students who participated in the English presentation competition conducted by D University, and 62 students participated. As a result of this study, among the six core competencies of D University, self-direction competency was found to be the highest, and professional knowledge competency showed the lowest satisfaction. Through the English presentation competition, participants responded positively to the improvement of their English proficiency, but responded somewhat negatively to the improvement of their English speaking confidence. In addition, the students who participated in the competition heard that their English speaking skills improved and the collaboration with the team members was satisfactory. Based on the results of this study, suggestions for holding and operating an effective English presentation contest were presented.
A Study on Learners’ Dropout Factors of Internet-based Learning of High School Students

Low persistence rate is a deep-seated and major challenge of internet-based learning. Since dropout causes a loss to both learners and institutions, preventing dropout is top priority and, for this reason, investigating the dropout factors is inevitable. In order to investigate the effect of schedule management, study attitude, self-control, and self-efficacy on dropout, a survey of high school students has been conducted. As a result of t-test, learners’ responses to four factors showed significant differences between dropout group and completion group. Logistic regression analysis showed that learners seem not to drop out when they have selfcontrol on distractions and when they have high self-efficacy. Based on the results, learners should consider registering online classes and institutions should establish strategies to prevent dropout.