Reviewerly/exHarmony huggingface dataset:
Exploring the relationship between Learned Helplessness and Non-Self-Determined Career Motivation: A focus on the learning situation of pre-service elementary and special education teachers

Objectives The aim of this study is to investigate pre-service elementary and special education teachers’ learned helplessness and its effect on career motivation.&#x0D; Methods Data were collected from students enrolled in an elementary and special pre-service teacher education program at a rural university in the K area of the Republic of Korea. Participants completed a self-reported questionnaire including scales assessing learned helplessness in daily life (“helplessness”), learned helplessness in academic situations (“academic helplessness”), and career motivation based on self-determination theory. Data from 62 participants were analyzed using descriptive analysis, correlational analysis, multiple regression analyses, and the Kruskal-Wallis H test.&#x0D; Results Descriptive analyses revealed the absence of learned helplessness (helplessness, academic helplessness) among participants. Levels of amotivation were low, while autonomous motivation, including identified regulation and intrinsic regulation, were high. Correlational analyses indicated significant positive correlations between learned helplessness and non-regulation, external regulation, and introjected regulation, respectively. Regression analysis and the Kruskal-Wallis H test indicated that academic helplessness was the significant predictor of non-regulation and external regulation.&#x0D; Conclusions These findings suggest that negative responses to academic failures could result in a lack of initiation or persistence in career goal-directed behaviors, or in avoiding the adverse outcomes associated with career-related activities. This study provides valuable foundational data for understanding learned helplessness and undetermined career motivation, offering insights for interventions and future research in the field.
A Qualitative Study on the Operation Experiences of Learning Communities in a Small-Scale Daycare Center

Objectives The purpose of this study is to explore in-depth the experience of operating a learning community of small-scale daycare center childcare teachers and what kind of meaning the experiences have.&#x0D; Methods For the purpose, four childcare teachers who are members of a learning community were selected as research participants and the learning community was conducted 19 session in total. As data for this research, collected participation observations, interviews, and records of teachers and analyzed.&#x0D; Results The essence of the experience revealed through this study is as follows. First, in the series of preparations for the operation of the learning community of ‘flare fired amid emotional ambivalence’, the teachers had the experiences of ‘starting with a vague expectation’, ‘worries behind expectations’, and ‘preparedness to become a community’. Second, in the process of operating the learning community of ‘journey without milestones’, the teachers had the experience of ‘an attempt to share, empathize, and be together’, ‘our own indicators created in chaos’, and ‘a new direction in incompleteness’. Third, iin the process of establishing a learning community of ‘our own organizational culture’, the teachers experienced ‘each person becoming a community’ and ‘a perennial problem: time burden’. In addition, the meaning of the experience of operating a learning community was found to be ‘confirming the value of communication even with a small number of people’, ‘transitioning to open thinking’, ‘awakening self-realization within me’ and ‘growing together with colleague teachers’.&#x0D; Conclusions Through the experience of operating a learning community, this study discovered the essential meaning of teacher growth potential. It suggests the need to operate a learning community as an alternative to improving the professionalism of small-scale daycare center teachers and improving the quality of childcare. It also suggests that the growth demand of teachers enables the operation of a learning community even under limited circumstances.
A study on the perception of participating companies on project-based vocational training: focusing on K-Digital Training

Objectives The purpose of this paper is to identify the motives and roles of participating companies in KDT, analyze the satisfaction level of KDT education programs and project classes, and collect difficulties to suggest development plans for project-based vocational training.&#x0D; Methods For companies that participated in the KDT project in 2022, the motivation and role of participation were investigated, and satisfaction with the project, evaluation of the project's final output, and KDT-related difficulties and opinions for improvement were confirmed. Respondents were received from a total of 82 companies through the survey and descriptive statistical analysis was conducted. The same survey was conducted in 2021, and the responses of the pilot project and the main project were compared and analyzed by t-test.&#x0D; Results As a result of the analysis, companies showed a high participation rate in training planning and project guidance, and satisfaction with general classes and project classes were high, respectively. Statistically significant increases were also confirmed in trainee competency and learning attitude, which showed the lowest level of satisfaction. Enterprise field experts positively evaluated the final output of the project, and the project satisfaction of smart training, where training is conducted through an advanced platform, was high, indicating that project activities, monitoring, and mentoring using the platform are effective for the KDT project.&#x0D; Conclusions Through this study, we were able to confirm that KDT is being operated to meet the purpose of introduction and that project-based KDT training is effective. This study is expected to provide theoretical and practical implications for vocational training and project learning for fostering digital talent, and to provide a direction for system improvement.
Improving Sentiment Analysis on Imbalanced Airlines Twitter Data Using DSMOTE Technique

Recently, social media and microblogging have gained popularity and traffic. Customer tweets to US airlines take time to analyse. A sentiment analysis model for unbalanced datasets fixes this with the help of the SMOTE method. This paper uses a new over-sampling technique to synthesise more samples near easily misclassified cases, unlike standard SMOTE, which treats all minority group samples equally. We target misclassified minority class classification to improve accuracy. The model steps through tweet sentiment classification. First, remove tweets with special characters, URLs, and stop words. It cleans tweets and extracts features to create numerical feature vectors. The Bag of Words (BoW) model uses all unique tweet terms to develop a lexicon—the presence or absence of these words numbers each tweet. We use Random Forest (RF) and Recurrent Neural Network (RNN) classification models after transforming tweets into feature vectors. A Random Forest ensemble learning system classifies using many decision trees. RNNs process sequential text using internal memory states. RF and RNN models use tweet feature vectors. Models learn feature-sentiment label patterns. They can label new tweets positive, negative, or neutral. These classification models let the installed system classify tweets by sentiment, providing valuable sentiment analysis insights. These models accurately classify tweets as positive, negative, or neutral. The density-based SMOTE results show our model’s efficiency. TFIDF vectoriser Random Forest has 81% accuracy and 70% F1 score. These measures show the model can classify sentiment in imbalanced datasets, making it useful for sentiment analysis.
Analysis of Offensive Data over Multi-Source Social Media Environment Using Modified Random Forest Algorithm

The widespread usage of social media platforms has resulted in an increasing volume of offensive content, posing significant challenges to maintaining a safe and respectful online environment. This research presents an analysis of offensive data over the social media environment using a modified Random Forest algorithm. The proposed modification to the traditional Random Forest algorithm incorporates a Weighted class Random Forest (WRF) to enhance model diversity and robustness. An algorithm utilizes weighted classes during training to address the inherent class imbalance in offensive data. By assigning higher weights to offensive content, the model prioritizes accurately identifying offensive posts, comments, and messages. This paper used the Twitter and Reddit dataset of multi-source social media content, labeled for offensive and non-offensive content, to train and validate the modified Random Forest model. Our proposed model is compared with Decision Tree (DT), Extreme-Gradient Boosting (XGBoost), Multi-layer Perceptron (MLP), K-Nearest Neighbors (KNN), and Traditional Random Forest (RF) algorithms in machine learning. A number of performance metrics are used to assess the model's effectiveness in dealing with offensive data, including accuracy, recall, precision, specificity, and the F1-score. The results demonstrate that the modified Random Forest algorithm outperforms better than other machine learning algorithms. Moreover, the model shows improved resilience to variations in offensive language and context, making it more suitable for real-world applications.
Analysis of Visual Attention on Korean Essay Book Covers Using Eye-tracking Devices

Today, with the advent of various communication media, the importance of the visual component of the book cover is increasing as the purchasing behavior pattern changes from paper books to e-books and from offline to online and mobile channels. In particular, social and environmental changes such as COVID-19 caused consumers
Research on The Fusion of Positive Emotions and Multimedia Learning Based on The Satisfaction of VR Museum Users

The isolation policies of the COVID-19 pandemic have driven virtualization and networking. The number of virtual museum users has increased significantly, and younger user groups have higher experience requirements. Most people who visit VR museums expect to gain knowledge and enjoy the joy of learning. Positive emotion is based on emotional design and emotional research, combined with multimedia learning theory, puts forward 8 assumptions, conducts questionnaire survey and empirical analysis. Summary of the results: Conclusion 1, when users use VR museums, lower cognitive load (H1) and better learning effect (H2) positively impact users. Good emotional design (H3) and appropriate reward mechanism (H4) in VR museum design positively impact users, so both can improve user experience satisfaction. Conclusion 2: In the user experience of VR museums, pleasure (H5), fulfillment (H6), novelty (H7), and attraction (H8) have a positive impact on users, and users can get more positive emotions in this positive emotion. Good experience effect. In short, users look forward to gaining knowledge in VR museums, and it is an important research direction to enable users to have a pleasant learning experience in VR museums.
The Influence of Learning Presence in Non-face-to-face Classes Perceived by College Students Major in Hairstyling on Learning Commitment and Learning Outcome

In rapidly changing social environments, the COVID-19 pandemic has brought dramatic changes in people's daily lives. They have worked to improve learning commitment and learning outcome by enhancing learning presence through smooth communications with students after going through trials and errors in non-face-to-face classes in order to adapt themselves to such new circumstances. This study attempted to investigate the influence of the learning presence of such online classes on learning commitment and learning outcome against college students majoring in hairstyling and develop a plan to deliver high-quality education with a goal of providing basic data for the growth and development of cosmetology education. For this, a self-administered questionnaire survey was performed against college students majoring in hairstyling in Seoul and Gyeonggi-do. A total of 301 copies were used for final analysis, and the results found the followings: It is required to develop high-quality class environments to make students recognize learning presence on their own and attain a smooth communication between teachers and students and among students. It is anticipated that there would be further studies with more specific academic majors.
Emotion Recognition in Human Thermal Images with Artificial Intelligence Technology

This paper presents a case study related to emotion recognition based on human thermal image processing. Three states are considered for human faces: normal, sad, and happy. The thermal images are pre-processed for important feature selection and extraction by using the random forest (RF) classifier. All and selected features set is used as input to a feedforward backpropagation neural network (FFBPN), with binary outputs. The input images are organized in pairs, i.e., normal with sad and normal with happy. The preliminary results show particularly good classification accuracy.
DEVELOPMENT OF A SYSTEM FOR IMAGE RESTORATION USING NEURAL NETWORKS

This article presents a comparative study of the super image resolution method using Deep Image Priors, comparing it with other advanced methods. The method uses the architecture of a deep neural network as a fixed a priori factor for the image restoration problem, and an optimization algorithm is applied to find the optimal set of weights for the network. The evaluation of the method's performance was conducted using the SET 5 dataset using the PSNR metric and compared with the RealESRGAN method. This study highlights the effectiveness of the Deep Image Prior method for super-resolution images and provides insights into its potential for further improvement. The Deep Image Priors method shows impressive results in super-resolution images, and its ability to use deep neural networks as a priori knowledge opens the way for the development of more efficient methods in the future. This study also highlights the importance of optimizing neural network weights to achieve the best results in image restoration tasks. Through benchmarking with RealESRGAN, it's exciting to witness the potential impact of Deep Image Priors in the field of image processing and computer vision. It seems to have the capacity to enhance the quality of super-resolution images significantly. It'll be interesting to see how we can further improve its effectiveness in the future.
Pengembangan modul pembelajaran berbantuan augmented reality (AR) pada materi sistem peredaran darah manusia

The learning outcomes of high school students on the circulatory system concept have not reached the expected target. The achievement of basic competencies or learning objectives are not achieved because the learning resources that have been used by teachers and students are not able to strengthen The achievement of basic competencies or learning objectives is not achieved because the learning resources that have been used by teachers and students are not able to strengthen concept abstraction for the topic of the circulatory system.. &lt;em&gt;Augmented Reality&lt;/em&gt; (AR) technology is a technology that infuses information from the virtual world and displays it in real (3D) with the help of a computer or mobile phone. This study aims to produce &lt;em&gt;Augmented Reality&lt;/em&gt; (AR) assisted learning modules to improve learning outcomes in circulatory system concept. The type of research used is &lt;em&gt;Research and Development&lt;/em&gt; (R&amp;amp;D) research with a research design developed by Hanafin and Peck that consists of three phases, that is the needs analysis phase, design phase, and development - implementation phase. Data collection techniques in this study used interviews and questionnaires. The results of this study indicate that Augmented Reality (AR) assisted learning module on circulatory system topic was declared very good (86.6%) by experts with review from media experts (85.3%), material experts (90.2%) and experts language (84.3%). This module has characteristics of a printed learning module which includes 3D images equipped with Augmented Reality (AR) technology.. However, it is not yet known how effective this module in improving learning outcomes because it has not passed the product effectiveness assessment. Therefore, the researcher suggests further research, to test the effectiveness of this learning module on student learning outcomes.
Use of smartphone as ICT literacy media and learning resources among college students

This study aims to determine the extent to which students can use smartphones as ICT literacy media and learning resources. This is due to the development of increasingly advanced technology that requires the nation's generation to be able to face the challenges of the era, one of which is being able to use technologies, especially smartphones, for positive things, particularly in ICT literacy and as learning resources. The method used in this research is a descriptive method with a qualitative approach. The results of the study show that smartphones can be used as ICT literacy media and learning resources for college students. Also, students have been able to carry out ICT literacy well as evidenced by the use of existing applications on smartphones to search, obtain, and manage information, which later on this information can also be a source of learning. On the other hand, from the use of smartphones as learning and literacy media, there are also negative impacts, such as addiction and dependence on smartphones, the amount of negative content and fake news that can be found online. The solution that can be used to overcome this is the presence of self-control tools or high self-awareness from the students themselves. Abstrak Penelitian ini bertujuan untuk mengetahui sejauh mana mahasiswa dapat menggunakan smartphone sebagai media literasi TIK dan sumber belajar. Hal ini dikarenakan perkembangan teknologi yang semakin maju menuntut para generasi bangsa untuk dapat menghadapi tantangan zaman, salah satunya adalah mampu menggunakan teknologi, khususnya smartphone untuk hal yang positif, utamanya dalam literasi TIK dan belajar. Metode yang digunakan dalam penelitian ini adalah metode deskriptif dengan pendekatan kualitatif. Hasil penelitian menunjukkan bahwa smartphone dapat dijadikan sebagai media literasi TIK dan sumber belajar di kalangan mahasiswa. Selain itu, mahasiswa juga telah mampu melakukan literasi TIK dengan baik yang dibuktikan dengan penggunan aplikasi yang ada pada smartphone untuk mencari, mendapat, dan mengelola informasi, yang nantinya informasi tersebut dapat juga menjadi sumber belajar. Namun, dari penggunaan smartphone sebagai media belajar dan literasi tersebut, terdapat pula dampak negatif yang ditimbulkan, seperti kecanduan dan ketergantungan terhadap smartphone, banyaknya konten negatif yang ditemukan, serta banyaknya berita hoaks. Solusi yang dapat digunakan untuk mengatasi hal tersebut adalah adanya kontrol diri atau kesadaran diri yang tinggi dari mahasiswa itu sendiri. Kata Kunci: Literasi TIK; mahasiswa; smartphone; sumber belajar
The Implementation of a Word Chain Game to Teach Vocabulary in an Islamic Junior High School

Vocabulary is a fundamental element and the most essential thing learned in the English language. However, the students still encounter problems in learning vocabulary that was also worsened by the Covid-19 pandemic. Therefore, this study investigated the implementation of a Word Chain Game to teach vocabulary in an Islamic Junior High School. The aims were to find out the teacher’s strategies for the implementation of the Word Chain Game in teaching and learning vocabulary and to analyze the teacher and student’s perceptions of the implementation of the Word Chain Game in teaching and learning vocabulary. This case study was carried out on the English teacher and 22 students in the seventh grade of an Islamic Junior High School in Tasikmalaya. Three instruments in form of the observation, the interview, and the questionnaires were triangulated. The findings indicated that Word Chain Game was conducted by the teacher in teaching and learning vocabulary through ten steps. It also indicated that the teacher and the students had positive perceptions of the implementation of the Word Chain Game in teaching and learning vocabulary because it enhance their knowledge, mastery, participation, interest, and motivation in learning vocabulary. Even though some students still found it hard to implement the Word Chain Game, the teacher could overcome them.
The Teacher’s Perception of Using Canva Application In Teaching Creative Writing

This research reported on the teacher’s perception of using the Canva Application in teaching creative writing in an Islamic Senior High School in Ciamis. The aim of this research was to investigate the teacher’s way to use the Canva Application to teach creative writing and to identify the teacher’s perception of using the Canva Application to teach creative writing. A case study design was engaged in this research. By means of a purposive sampling technique, an English teacher was selected as the research participant in an Islamic Senior High School in Ciamis. The research instruments constructed consisted of observation and interviews. There were two data analysis techniques obtained, including conversational analysis and triangulation analysis to analyze the data. The findings showed that the teacher employed seven steps to use Canva Application in teaching creative writing. It also indicated that the teacher responded positively on the use of the Canva Application in teaching creative writing since it was useful for both the teachers and the students.
Teachers’ Strategies Of Implementing Critical Literacy Approach In Teaching Reading to Multicultural EFL Classes (A Survey Conducted At Islamic Senior High School, West Java Province)

This study aims to determine the improvement of students' reading skills in teaching reading by reading books outside of learning such as articles/news in newspapers in the subject of asking and giving directions. The subject of the study consisted of 30 students sitting in the tenth grade. The researcher applies a mixed methods design, which is an embedded design. The instruments used are tests and questionnaires. Samples were taken using random sampling technique. The finding indicates that the teacher's way in the classroom is effective in improving students' reading skills. This can be seen from the average results of the total questionnaire of 100% of students (10% strongly agree and 90% agree) are very happy when reading and like to ask questions with the teacher. In summary, reading is the most important language skill that students must master. Reading enables students to develop their own language and experience. They will access to the information and ideas they must know.