Reviewerly/exHarmony huggingface dataset:
PEMBUATAN DAN PENDAMPINGAN POJOK LITERASI UNTUK ANAK ANAK DI KOTA METRO

The ability to read plays a role and is one of the determinants of a person's success, this is because all access to information and knowledge is always related to reading activities. elementary school age children who are still not fluent in reading words and writing. Apparently, cultural literacy has not yet been developed and introduced to children in the area, even though literacy has an important role in supporting the quality and basic abilities of students. the problem faced today is that many young children today prefer to play on their cellphones rather than read books. Many of the children were less interested or sometimes even did not have knowledge books or story books in their storage. This service activity has the following objectives, namely: 1) To support educational programs starting with early childhood, and 2) to activate early childhood interest in reading. The methods implemented in this community service activity program are: 1) Coordinating with the local Pamong with the literacy corner program, 2) Coordinating with TPA administrators and Baitul izzah TPA Trustees, 3) Coordinating with village administrators in preparing literacy corner places, 4) Look for books to read that are not used and worth reading, and 5) Coordinate with related Pamong for activity results. Based on the community service activities that have been carried out, it can be concluded that the existence of a reading corner program can increase literacy in Metro City, especially in the East Hadimulyo Village, Metro Center.
Detecting Hand Hygienic Behaviors In-the-Wild Using a Microphone and Motion Sensor on a Smartwatch

In recent years, the emergence of the COVID-19 pandemic has led to new viral variants, such as Omicron. These variants are more harmful and impose more restrictions on people’s daily hygiene habits. Therefore, during the COVID-19 pandemic, it is logical to automatically detect epidemic protective behaviors without user intent. In this study, we used multiple sensor data from an off-the-shelf smartwatch to detect several defined behaviors. To increase the utility and generalizability of the research results, we collected audio and inertial measurement unit (IMU) data from eight participants in real environments over a long period. In the model-building process, we first created a binary classification between hand hygiene behaviors(hand washing, disinfection, and face-touching) and daily behavior. Then, we distinguished between specific hand hygiene behaviors based on audio and IMU. Ultimately, our model achieves 93% classification accuracy for three behaviors(Hand washing, face touching, and disinfection). The results prove that the accuracy of the classification of behaviors has improved remarkably, which also emphasizes the feasibility of recognizing hand hygiene behaviors using inertial acoustic data.
Designing Personal Informatics to Support Setting and Changing Health Goals

Personal informatics are tools used to support collection and reflection on behavioral data, and these tools support various health goals. As people experience transitions and different stages to their life, their needs, priorities, and goals change. However, people often face challenges with applying these changes to their personal informatics tools. This research investigates how personal informatics tools can support changing goals through ethnographic studies, the design and development of tools, and evaluation of these tools. This contributes to the understanding how personal informatics can support long-term goal setting.
Designing With Human-Nature Relations for Multispecies Sustainability in and from the Garden

The aim of my research is to design systems that aid in mobilizing sustainable efforts that consider all lifeforms as stakeholders in daily activities. I work with gardeners of private home gardens because the garden is a place to observe shifts in our natural surroundings caused by anthropogenic climate change, and many gardeners have begun to treat gardens as biodiversity hotspots. To explore human-nature relations in the garden, I draw from phenology, the observation and study of the timings of cyclic biological occurrences. In my first study I used cultural probes to explore what gardeners notice in their surroundings, identifying key human-nature relations (emotional, climate, personal historic, multisensory, global). I subsequently used these insights in my second study through co-design fiction workshops with gardeners to imagine future technologies that support sustainability in and from the garden. Based on the findings, I have presented three design spaces: community building through awareness and collaboration, multispecies care, and creating balance from the garden to society. The DC will be helpful to discuss these design spaces with consortium members to help shape a strong final study.
A Novel Oversampling Technique for Imbalanced Credit Scoring Datasets

The imbalanced class distribution of credit-scoring datasets typically makes the learning algorithms ineffective. In this study, NOSTE is proposed, a novel oversampling technique. It first identifies the informative minority instances by eliminating the noisy samples from the minority subset. Then, weight is assigned to the informative minority instances by considering the density and distance factors. Finally, new minority instances are created by determining the average of two different minority instances to make the dataset balanced. In the experimental study, NOSTE performance is validated by conducting an extensive comparison with four popular oversampling methods using three credit-scoring datasets from the UCI repository. The results confirmed that the proposed method brings significant improvement in the classification in terms of F-measure and AUC (Area under the Curve).
Hybrid Deep Learning Based Model on Sentiment Analysis of Peer Reviews on Scientific Papers

The peer review process involved in evaluating academic papers submitted to journals and conferences is very perplexing as at times the scores given by the reviewer may be poor in contrast with the textual comments which are in a positive light. In such a case, it becomes difficult for the judging chair to come to a concrete decision regarding the accept or reject decision of the papers. In our paper, we aim to extract the sentiment from the reviewers’ opinions and use it along with the numerical scores to correlate that in order to predict the orientation of the review, i.e., the degree of acceptance. Our proposed methods include Machine learning models like Naive Bayes, Deep learning models involving LSTM and a Hybrid model with BiLSTM, LSTM, CNN, and finally Graph based model GCN. The dataset is taken from the UCI repository consisting of peer reviews in Spanish along with other parameters used for judging a paper. Bernoulli’s Naive Bayes was the model that fared the highest amongst all the approaches, with an accuracy of 75.61% after varying the parameters to enhance the accuracy.
Gesture Controlled Power Window Using Deep Learning

Researchers are working to fill knowledge gaps as new eras are ushering in by the rapid growth of informatics and human-computer interaction. With speech-based communication, touch-free engagement with electronic gadgets is growing in popularity and offers consumers easy-to-use control mechanisms in areas other than the entertainment sector, including the inside of cars, these engagement modes are now being successfully used. In this study, real-time human gesture identification using computer vision is proven, and the possibility of hand gesture interaction in the automobile environment is investigated. With the use of this noncognitive computer user interface, actions can be carried out depending on movements that are detected. By adding Python modules to the system, the design is carried out on a Windows OS. The platforms used for identification are open-cv and keras. The vision-based algorithms recognize the gesture displayed on the screen. A recognition algorithm was trained in keras using the background removal technique and the LeNet architecture. In this paper, four models were created and their accuracy was compared. The convex hull and threshold model outperformed the other models.
Dubbing as a Pedagogical Tool: An Experimental Study on Eleventh-Grade Students at SMAN 8 Samarinda

This study was conducted to determine the efficacy of the dubbing method on the speaking ability of eleventh-grade SMAN 8 SAMARINDA students. This research is related to the findings of previous studies, which continue to indicate that many students lack adequate speaking skills. This study employs experimental research to determine whether the dubbing method is effective or ineffective for teaching students how to communicate. The study was conducted six times, once during each of the pre- and post-tests and four times during the experiment. The obtained data is based on the pre- and post-test scores of the students. The author concludes, based on the research conducted, that the use of the dubbing method in learning is effective in enhancing students' speaking skills, as indicated by their test scores. Furthermore, the calculation of the paired sample t-test reveals a significant effect, as indicated by the sig value. 0.01 0.05, therefore Ho is rejected, so it can be inferred that the dubbing method is effective on the speaking ability of SMA Negeri 8 Samarinda eleventh graders.
Video Event Description Booster By Bi-Modal Transformer, Identity, and Emotions Capturing

In today’s era, interactive media material consisting of medium text, audio, picture, and video basically has a multimedia style. With the assistance of advanced deep learning (DL) methods, some of the rare computer vision (CV) issues have been successfully resolved. Video Captioning is automatic description generation from digital video. It converts the audio tracks of people within a video into text. When the recording is played that text will be displayed in segments that are synchronized with specific words as they are spoken. It is like representing a whole activity which is happening in a video in a textual format. The captions which are generated in the process of video captioning are nothing but a transcription of dialogue and visual content in a video. They appear as a text on the bottom of the display screen [1, 2]. In this paper, we have studied and modified video captions generated using Bi-modal Transformer (BMT). We have also added facial recognition features to BMT to give more information about the expressive actions in the video. The proposed model also detects emotional expressions on a person’s face in a video.
A Study on the Development of Chinese Films Using Review Big Data Analysis on Chinese-Korean Films - Focusing on the Korean Film Market -

Chinese films are concentrated only on domestic box office profits, and overseas profits are quite insufficient. Globalization is necessary for Chinese films to continue to develop, and Korea is an important entry point for Chinese films to enter overseas markets. This study compared and analyzed big data on reviews of Chinese and Korean films by Korean audiences to derive strategies necessary for the growth of Chinese films in the Korean film market. For big data analysis, movie review data from portal sites were used in 2022 and data analysis was conducted using Textom programs to derive points that Chinese films need to improve to enter the Korean market.
The Effects of Early Childhood Teachers' Grit and Teacher Efficacy on Job Satisfaction

Objectives The purpose of this study is to analyze the effect of grit and teacher efficacy of early childhood teachers on job satisfaction.&#x0D; Methods A survey was conducted on 211 teachers working at early childhood education institutions located in N and S cities in Chungcheongnam-do, and technical statistical analysis, reliability and correlation analysis, and multiple regression analysis were conducted using SPSS 23.0.&#x0D; Results First, it was found that there was a positive correlation between the grit of early childhood teachers and teacher efficacy and job satisfaction. Second, the grit and teacher efficacy of early childhood teachers had an effect on job satisfaction, and grit was identified as a factor that had a relatively large effect on job satisfaction. Among the grit's sub-factors, passion, persistence, and continuity of interest had a significant effect on job satisfaction, and among teacher efficacy, a sense of calling and teaching ability had a significant effect on job satisfaction. In particular, grit had a relatively greater influence on job satisfaction than teacher efficacy.&#x0D; Conclusions Grit and teacher efficacy can play an important role as variables affecting job satisfaction of early childhood teachers, so measures should be sought to increase the positive effects of grit and teacher efficacy of early childhood teachers.
Proposal for an Application to Support the Lifestyles of Single-person Households in Campustown

This research originated with the need to help solve the problems facing single-person households living on or near the campus of I University located in Gyeongsangnam-do following the COVID-19 pandemic. Most single-person households tend to rely heavily on delivery food but have recently felt the increased financial burden of rising costs in deliveries and a higher minimum required purchase being set by delivery services. On the one hand, a range of useful location-based applications have been used to inform people about the surrounding restaurant information and school menus. However, an app that reflects the particular characteristics of I University and its surrounding area has yet to be released, inconveniencing the students living on or near campus. The results of interview found that 76.9% of interviewees were interested in using an application that was localized for their specific place of residence. This research proposes that the Information Architecture, User Journey Map, and Persona for an application designed specifically for I University be based on 3 similar lifestyle and utility applications created specifically for students of other universities.
Development and Validation of the Pre-secondary school Teacher’s Artificial Intelligence Literacy Scale

Objectives The purposes of this study were to develop a scale that can diagnose it for systematic educational support for fostering AI literacy of prospective secondary teachers&#x0D; Methods To achieve the goal, previous studies were reviewed and expert content validity was conducted. And then A preliminary survey was conducted on 186 students from the College of Education at universities located in Gyeongnam, and a main survey was conducted on 504 university students located in Gyeongnam, Busan, Daegu, and Incheon.&#x0D; Results As a result of this survey, the reliability of the scale was high(.939) and model fit is found that those extracted constructs were valid by showing good fit indices(CFI=.945, TLI=.937, RMSEA=.047, SRMR= .045). In addition, it was confirmed that the validity of the finally selected item was secured through cross-validation analysis and differences verification between groups.&#x0D; Conclusions The components of AI literacy of pre-secondary school teachers consisted of four areas and eight sub-factors ‘AI understanding, AI use, AI development, and AI ethics’. and the diagnostic tool was confirmed with a total of 33 items.
Does Academic Achievement in Middle School Influence Career Maturity in High School? A Comparison based on School Types

Objectives This study analyzed how academic achievement in second year of middle school had an effect on career maturity in first year of high school mediated by self-efficacy and academic internal motivation for learning in third year of middle school according to the type of school, innovative schools and general schools.&#x0D; Methods Data from the 5th (2016)-7th (2018) years among the panel data of the 4th graders of the Gyeonggi Education Panel Study were used and a mediation model analysis was performed. SPSS MACRO mediation model analysis was performed by inputting academic achievement variables in the 5th year, self-efficacy in the 6th year, internal motivation variables for learning, and career maturity variables in the 7th year. Gender, household income, family type, parental attachment, and educational aspirations were input as control variables.&#x0D; Results The main analysis results are as follows. First, academic achievement had positive effect on career self-understanding mediated by internal motivation in innovative school and self-efficacy in general school. Second, academic achievement had a positive effect on career planning mediated by internal motivation and self-efficacy in both innovative and general school. The mediating effect of internal motivation was larger in innovative schools than in general schools.&#x0D; Conclusions Based on this, the educational effectiveness of innovative schools was discussed. In particular, the fact that the learning experience at an innovative school leads to career maturity through the intrinsic motivation of learning showed us that the innovative school policy can be a new educational alternative in an educational climate that values only academic achievement.
The Effects of Motion Expression Activity based on Traditional Culture on Young Children’s Motor Proficiency and Creativity

Objectives The purpose of this study were to investigate the effect of motion expression activity based on traditional culture on children’s motor proficiency and creativity.&#x0D; Methods The subjects of this study were 40 who were 5-years-old children enrolled in D kindergarten located G city. To compare the effects of experimental treatments on young children’s motor proficiency and creativity scores of pre-test and post-test were analyzed by independent t-test applying SPSS 22.0 program.&#x0D; Results Motion expression activity based on traditional culture had positive effects on children’s motor proficiency. In the subordinate factor of the motor proficiency, locomotor ability of experimental group’s score were significant higher than comparative group’s. Motion expression activity based on traditional culture had positive effects on children’s creativity. The score of the experimental group was significantly higher than the score of the comparative group in ‘fluency processing’, ‘originality’, ‘elaboration’ which are subarea of creativity.&#x0D; Conclusions The result of this study is expected to be a future guidelines to develop teaching-learning method to enhance children’s motor proficiency and creativity.
The Effect of Early Childhood Teachers’ Autonomy and Play Support Competency on the Play Implementation of the 2019 Revised Nuri Curriculum

Objectives The purpose of this study was to examine the effect of early childhood teachers’ autonomy, play support competency on the play implementation of the in the 2019 Nuri curriculum.&#x0D; Methods For data collection, 324 early childhood teachers in Gyeongnam province were surveyed by questionnaires about teachers’ autonomy, play support competency on the play implementation of the in the 2019 Nuri curriculum from 30 May 2022 to 12 Jun. For data analysis, descriptive statistics, Pearson’s correlation , and hierarchical regression analysis were used by SPSS 25.0.&#x0D; Results First, early childhood teachers' autonomy, play support competency, and play implementation of the 2019 revised Nuri curriculum were in high level. Second, there was a significant positive correlation among the teachers’ autonomy, play support competency, and play implementation of the 2019 revised Nuri curriculum. Third, early childhood teachers’ autonomy and play support competency was found to influence on the play implementation of the 2019 revised Nuri curriculum.&#x0D; Conclusions This results suggest that in order to enhance play implementation of the 2019 revised Nuri curriculum, teacher’s autonomy and play support competency need to be improved.
Mediating Effect of Self-Directed Learning Ability in relation of Preparatory Infant Teacher’s Growth Mindset and Study Immersion

Objectives The purpose of this study was to analyze mediating effect of self-directed learning ability in relation of preparatory infant teacher’s growth mindset and study immersion.&#x0D; Methods To achieve this purpose, the study subject were university 192 student in major child and earlychood education while at G national university in J city in gyeong sang nam do. Question investigation was performanced aimed at this students during 5 days. To measure preparatory infant teacher’s growth mindset, self-directed learning ability and study immersion, measurement tool was made existing tool. On this basis, question material was collected and collected question material was analyzed using SPSS 25.0 program.&#x0D; Results Result of this study are summarized as follows: First, there were meaningful relation among preparatory infant teacher’s growth mindset, self-directed learning ability and study immersion, and preparatory infant teacher’s growth mindset, self-directed learning ability effected on study immersion. positively. Second, self-directed learning ability had part mediator effect in relation of preparatory infant teacher’s growth mindset and study immersion.&#x0D; Conclusions This study had meaning to analyze mediating effect self-directed learning ability in relation of preparatory infant teacher’s growth mindset and study immersion. On this study, our socity will have to devise various way to reinforce preparatory infant teacher’s growth mindset and self-directed learning ability.
Présentation d’ouvrage

In this paper, we propose a new two-dimensional directional discrete wavelet transform that can decompose an image into 12 multiscale directional edge components. The proposed transform is designed in a fully discrete setting and thus is easy to implement in actual computations. The proposed transform is viewed as a category of redundant discrete wavelet transforms implemented by fast in-place computational algorithms by a lifting scheme that has been modified to incorporate redundancy. The redundancy is limited to (N×J+1)/4, where N=12 is the directional selectivity and J is a decomposition level of the multiscale transform. Numerical experiments in edge detection using various images demonstrate the advantages of the proposed method over some conventional standard methods. The proposed method outperforms several conventional edge detection methods in identifying both the location and orientation of edges, and well captures the directional and geometrical features of images.