Reviewerly/exHarmony huggingface dataset:
The effects of college students' self-efficacy on major satisfaction: Focusing on the mediating effects of self-directed learning and learning engagement

Objectives This study attempted to analyze the structural relationship between self-efficacy, self-directed learning, learning engagement, and major satisfaction of college students, and studied learning engagement by dividing it into cognitive engagement, emotional engagement, and behavioral engagement. Methods The fourth year of university nationwide became the study population, and the final 245 data were used for analysis. The structural equation was evaluated for goodness of fit of the research model using Mplus, and the significance of direct and mediating effects was verified. Results First, self-efficacy was found to have a positive (+) effect on self-directed learning and major satisfaction, but the effect on cognitive engagement, emotional engagement, and behavioral engagement was found to be statistically insignificant. Second, self-directed learning was found to have a positive (+) effect on cognitive engagement, emotional engagement and behavioral engagement, but the effect on major satisfaction was not statistically significant. Third, the effect of cognitive engagement on major satisfaction was found to be statistically insignificant, but emotional engagement and behavioral engagement appeared to have a positive (+) effect on major satisfaction. Fourth, in the relationship between self-efficacy, cognitive engagement, emotional engagement, and behavioral engagement, the mediating effect of self-directed learning was found to be statistically significant. Fifth, in the relationship between self-directed learning and major satisfaction, the mediating effect of cognitive engagement was not statistically significant, but the mediating effect of emotional engagement and behavioral engagement was statistically significant. Finally, in the relationship between self-efficacy and major satisfaction, the double mediating effect of self-directed learning and cognitive engagement was not statistically significant, but the double mediating effect of self-directed learning and emotional engagement and self-directed learning and behavioral engagement was statistically significant. Conclusions Through this, it was revealed that college students' self-efficacy, self-directed learning, and learning engagement are important factors in major satisfaction. Therefore, in order to improve college students' major satisfaction, implications for finding ways to improve college students' self-efficacy, self-directed learning, and learning engagement were also provided.
Hyperparameter Optimization of Deep Reinforcement Learning Using Harmony Search Algorithm

This study demonstrates that using the Harmony Search Algorithm (HSA) for hyperparameter optimization in Deep Reinforcement Learning (DeepRL) is effective in environments with well-designed reward functions. To address the reproducibility issue in DeepRL, the algorithm was modified to adopt the best parameters in each generation independent of the harmony memory consideration rate (HMCR) and to prevent the best parameters from being influenced by the pitch adjustment rate (PAR). The objective function was set as cumulative reward or terminal reward depending on the environment. The PPO algorithm parameters and actor-critic network parameters were optimized in five different environments. The results show that the harmony search algorithm can optimize hyperparameters even in large and complex environments with substantial interactions if the reward function is well-designed.
A Narrative Exploration of the Life of a Secondary School Fixed-Term Teacher

Objectives This study was conducted to investigate the in-depth meaning contained in the lives of research participants who are living as fixed-term secondary school teachers. Methods The narrative inquiry method, which seeks the meaning inherent in the experience through the process of continuously exploring the experiences of the research participants, was applied to this study. For this purpose, semi-structured in-depth interviews were conducted twice each for narrative inquiry with a total of 3 teachers (2 males and 1 female) working as fixed-term teachers at a secondary school located in Metropolitan D city. Results In the field texts constructed through the analysis of in-depth interview data, the common life experiences of secondary school fixed-term teachers are ‘Escape from studying for secondary teacher appointment exam’, ‘economic burden’, ‘Anxiety about employment’, ‘Anxiety felt by parents’, ‘a feeling of alienation from social institutions’, ‘separating work and life’, and ‘continuing to live’ were derived. The life experiences of these secondary school fixed-term teachers were again analyzed as research texts with personal, social, and practical meanings. The meaning of life of secondary school fixed-term teachers revealed through this study is ‘walking the Mobius strip of inseparable anxiety’ in the personal sense, ‘anxiety is transmitted to the family community’ in the social sense, ‘the I was hurt by alienation, conflict, and indifference’, and in a practical sense, it was ‘Nevertheless, I tried to live an independent life by separating myself from the fixed-term teacher’. Conclusions Based on the results of this study, the significance and limitations of secondary school fixed-term teachers' lives, and suggestions for follow-up studies were discussed.
EVALUASI MODEL-MODEL BAYESIAN SPASIAL CONDITIONAL AUTOREGRESSIVE UNTUK PEMODELAN KASUS KEMATIAN CORONA VIRUS DISEASE (COVID-19) DI INDONESIA

Covid-19 cases in Indonesia occurred for the first time on 2 March 2020. By 30 September 2022, Indonesia had 158,173 Covid-19 deaths. Several studies have been done in modelling Covid-19 cases. However, research in modelling the number of Covid-19 deaths using the Bayesian Spatial Conditional Autoregressive (CAR) model is still rare. The Bayesian spatial CAR model has high flexibility in relative risk (RR) modeling. CAR models can include various types of spatial effects and can include covariates in the model. RR represents the ratio of the risk of outcome (Covid-19) in the exposed group compared to the population average (the unexposed group). This study aims to evaluate the BYM, Leroux, and Localised models with five hyperpriors, to obtain the best model for estimating the RR of Covid-19 deaths in Indonesia and to create RR maps. This study used aggregate data on Covid-19 deaths (2 March 2020 - 30 September 2022). Data on the total population and population density of each province in 2021 were also used. The best model selection is based on the lowest Watanabe Akaike Information Criterion (WAIC) and Deviance Information Criterion (DIC) values, and Modified Moran's I (MMI) residual values. The result showed that the CAR BYM model with covariates and with Inverse-Gamma IG(0.5; 0.0005) prior distribution had the lowest DIC and WAIC. As the BYM model does not converge, the model cannot be used in determining the RR of Covid-19 deaths in Indonesia. From the other three models that converge, the Bayesian CAR Leroux model without covariate with IG(0,5;0,0005) has the lowest DIC(393,76), and WAIC(400,12), and its MMI value (-0,26) is approximate to zero. Therefore, the Bayesian CAR Leroux model without covariate with IG(0,5;0,0005) is preferred. The province with the highest RR (2,76) and the lowest RR (0,22) are Yogyakarta and Papua, respectively.
Meta-Synthesis of Education Community

Objectives The purpose of this study is to analyze achievements and limitations of Educational Community operation and explore future directions for improvement of school-community partnership. Methods The study applied qualitative meta-synthesis in analyzing the achievements and limitations through 11 qualitative studies. Specific framework for the analysis were curriculum linkage between school and local community, public-private-school partnership, and autonomy of local community and expansion of education to community. Results The results of the meta-synthesis showed that first, Educational Community had achievements in linking the school and community and providing various curriculum to the students. However, teachers, parents, and students had to face a dilemma between the old school based education and the new form of Educational Community, which created limitations. Second, a system of public-private-school partnership was found as a achievement of the Educational Community operation. At the same time, with different structure and culture of different organizations, practical partnership was not in place. Finally, Educational Community contributed to community members’ participation in education, which is a great achievement compared to a closed school-based education. However, sustainability of community members’ participation was a question remained to be resolved. Conclusions The practical and policy implications are: first, Educational Community require practical support to facilitate the operation of the curriculum that are created through school and community. Second, the results suggest the need for coordinating roles of public-private-school partnership for effective operation of Educational Community. Lastly, Educational Community needs to adopt an integrated approach of school and community to ensure the sustainability of its’ accomplishments.
The effect on key competencies of competency-based lecture activities: Sequential mediating effects between class satisfaction and learning engagement

Objectives University operated a competency-based curriculum for the purpose of straightening learners’ competency, but the mechanism by which competency change ultimately occurs has not been specifically revealed. Therefore this study set up a sequential mediation model in which competency-building class activities in liberal arts education affect communication competency and creative competency through the learner’s class satisfaction and learning participation, and tried to test the causal relationship between them. Methods For the purpose of the study, a survey was conducted among students who took liberal arts courses that operate a competency-based curriculum. A total of 120 students participated in the study, were consisted even distribution by gender and grade. Basic statistical analysis were conducted using SPSS 26.0 to examine the reparations and distribution between variables and sequential mediation effects analysis were performed using Model 6 of PROCESS Macro 4.2v. developed by Hayes. Double mediation significance was tested bootstrap pin sampling 5,000 times. Predict variables are competency-based lecture activities, outcome variables are communication and creative competency, and parameters are class satisfaction and learning participation. Results First, the research variables showed a positive correlation with each other. Second, competence-based class activities statically predicted communication competency and creative competency, respective, through class satisfaction and learning participation. The sequential mediation index was statistically significant. Conclusions Competent talents required by society are those who effectively interact with others in the problem-solving situation of a knowledge-based society and use their knowledge in various ways to solve problems. Such competencies can be cultivated through competency-based teaching activities in liberal arts education. However, what is important is not a simple competency-based teaching activities, but the teaching activities should enhance class satisfaction by increasing integration with learners, and this process implicate that it is possible by inducing students’ initiative participation in learning.
Exploring the Potential of Meta-Learning in Natural Language Processing

-Meta-learning has emerged as a powerful technique for enabling machines to learn to learn. It enables algorithms to leverage past experience and adapt to new tasks with limited labeled data. In natural language processing (NLP), meta-learning has been shown to improve the performance of models on a range of tasks. However, the full potential of meta-learning in NLP has not been explored. In this paper, we review recent work on meta-learning in NLP and propose new research directions to further explore the potential of this technique. Specifically, we investigate the use of meta-learning for few-shot learning, domain adaptation, and cross-lingual learning. We also explore the challenges associated with meta- learning in NLP, such as the choice of meta-features and the need for large-scale meta-learning datasets. Our experiments demonstrate that meta-learning has the potential to significantly improve the performance of NLP models, particularly on low-resource and cross-lingual tasks. Keywords: NLP, meta-learning, few-shot learning, language modeling, sentiment analysis, machine translation, BERT, transformer models, deep neural networks.
Digital Library Services in University Libraries in Nigeria: A Literature Study

Digitization of information resources for making digital library is the process of converting information into a digital (i.e. computer-readable) format. The result is the representation of an object, image, sound, document, or signal (usually an analog signal) obtained by generating a series of numbers that describe a discrete set of points or samples. The result is called digital representation or, more specifically, a digital image, for the object, and digital form, for the signal. On the one hand it can be argued that dramatic changes have been made at academic libraries in response to the new digital information environment. Most academic libraries, including University Libraries in Nigeria, offers a wide range of digital services and resources. But on the other hand, at a closer examination, one will find that these services and resources are mainly organized according to traditional library principles. In this case a guiding principle for the digital library need to be set up to create systematic and well organized general services and e-resources, for example subject specific gateway services. Thus, the digital part of the library functioned as an extension of the traditional library, an enterprise on the side with relatively high priority in this digital age, especially for of e-journals
DISTRIBUTION OF BUILDINGS AT VARIOUS FLOOD HAZARD LEVELS IN KEBON BARU VILLAGE, TEBETSUB-DISTRICT, SOUTH JAKARTA

: Floods have the potential to threaten human life and destroy property including buildings. Kebon Baru Village is one of the villages that often experiences floods. This research focuses on the Level of Flood Hazard in Kebon Baru Village. The method used is descriptive quantitative with overlay analysis techniques. The parameters used are altitude, distance from the river, land use, and buildings. Based on the results, Kebon Baru Village has three levels of flood hazard, namely low, medium and high. Low level has 4564 buildings, medium level has 1060 building and high level has 405 buildings. The level of flood hazard found in Kebon Baru Village is more influenced by the height and distance from Ci Liwung. The lower altitude and the closer to Ci Liwung, the higher of flood hazard level, on the contrary, the higher altitude and the farther distance, the lower flood hazard level.&#x0D; &#x0D; Keywords : Buildings Distribution, Flood Hazard Level, Kebon Baru Village
Experts cite increased cybersecurity threats for nonprofit sector

Cyberattacks against businesses and institutions of all types seem to be increasing, as news stories from around the world make headlines and serve as a reminder of the risks involved. On this front, nonprofits are not immune, experts say—in fact, the need for effective cybersecurity has never been greater, according to experts at digital marketing and fundraising company Nonprofit Tech for Good.
Forms of Manifestation of Cultural Differences in Higher Education and Their Impact on the Inclusiveness of Universities

The paper aims to investigate the impact of different forms of cultural differences in higher education on the inclusiveness of universities. To achieve the research goal, the authors apply the regression analysis method. This method models the impact of cultural differences in higher education on the inclusiveness and internationalization of universities in the USA. It also models the impact of cultural differences in higher education on the inclusiveness and internationalization of universities in Russia compared with the USA. The theoretical significance of the results is that they allowed the authors to rank the forms of cultural differences in higher education by the degree of their impact on the inclusiveness of universities. This strengthened the evidence base for the critical importance of culturally inclusive universities for the internationalization of higher education. Moreover, it highlighted an unimportant and controversial factor – internal cultural barriers to higher education – allowing future research to focus on other, more significant factors. The practical significance of the research findings is related to the justification of the country-specific features of the impact of various forms of cultural differences in higher education on the inclusiveness of universities. This indicates the need to consider country specifics in the development and implementation of strategies for internationalization of higher education, as well as provides scientific and methodological support for the flexibility of these strategies. The author’s conclusions are especially useful for the internationalization of higher education in Russia and the USA.
Visual Culture and Ways of Its Development among Students in the System of Higher Education

Purpose: The paper aims to search for means and methods of developing a visual culture in university students in the discipline of “History of Fine Art.” The research objects are the pedagogical mechanisms that influence the development of the visual culture of young people. Methodology: The study is of world outlook, culturological, and aesthetic nature. It represents a sociological analysis of several issues: what factors influence the development of visual culture and what objective and subjective conditions are necessary for this; whether art is a contemporary means of communication, information, and cognitive sphere, which forms social activity and spiritual and aesthetic positions; whether young people have structural and functional methods and skills of critical analysis or their ways of knowing the world are prejudicial. The paper analyzes visual culture as an important component of social, behavioral, and cognitive activity and emotional and aesthetic experience of evaluation, in which the individual can master new possibilities and methods of analysis, perception, and interpretation of information, texts, and images. Results: On the one hand, the authors identify shortcomings and cause-effect relationships that lead to a change in the vision and understanding of information by students. On the other hand, these changes serve as a promising model for developing visual activity, designing and implementing search, creative, and interactive methods in the educational process of higher education. These methods allow the individual to interact with the environment and contribute to a personal understanding of the information and knowledge received, playing a significant role in developing emotional, behavioral, cognitive, and motivational spheres. The obtained results indicate a change in the forms of cultural inclusion and the individual’s visual abilities, as well as in the development of a new visual paradigm based on the integration of human-computer interaction. Practical relevance: During the experiment, indicators of the development of visual culture were determined. Various research activities were carried out, including questionnaires, tests, discussions, practical conferences, master classes, and virtual tours, which prove the relevance of visual culture. Additionally, the authors reviewed scientific articles by Russian and foreign authors relating to the spiritual and aesthetic demands of society, current trends in art, and means of creative development of the individual.
Gear Workshops to Seniors' Needs

Special Events GaloreVolume 23, Issue 7 p. 4-4 Accommodating Your Audience Gear Workshops to Seniors' Needs First published: 06 June 2023 https://doi.org/10.1002/speg.32006Read the full textAboutPDF 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 No abstract is available for this article. Volume23, Issue7July 2023Pages 4-4 RelatedInformation
Introduction to the Software Quality for Artificial Intelligence (SQA4AI) special issue

Existing educational tools for language processors have varying capabilities. There is no single tool that covers every aspect of language processors. As a result, there is a possibility that the educator and students will need multiple tools, switching between different specification notations, organization and interpretation of outputs, which could result in a steep learning curve. PAMOJA is a Java-based component framework with a broader scope — it supports construction of grammar-aware applications using the rapid application development style found in modern IDEs such as NetBeans. This paper investigated the possibility of using PAMOJA to develop educational tools for language processing courses. We conducted two major studies. The first study, summarized six design considerations, identified in the literature, for language processor educational tools. Then, we identified three example applications and demonstrated how to construct tools for them using PAMOJA. These include building and visualizing lexical scanners and parsers, as well as constructing a front-end for a software language, using a subset of Java language as an example. The second study evaluated the PAMOJA approach in relation to the identified design considerations, and by analyzing student and educator perceptions. The results seem to demonstrate a positive reception and acceptance, concluding that its application would facilitate the design of language processor teaching tools and learning language processors.