Reviewerly/exHarmony huggingface dataset:
Navigating Challenges in Enhancing Pupils English Reading Comprehension through an Optimal Classroom Environment

Navigating Challenges in Enhancing Pupils English Reading Comprehension through an Optimal Classroom Environment. This qualitative phenomenological study aims to explore the perspectives, challenges, and coping strategies of teachers in creating such an environment. The findings revealed that teachers perceived an optimal classroom environment for enhancing reading comprehension to encompass a conducive learning environment, enriched learning experiences, and environmental factors. Additionally, the study highlights that teachers face challenges such as limited resources, including funding, materials, and technology, as well as classroom conditions and infrastructure. Moreover, student factors, including low interest in reading, health issues, and absenteeism, add complexity to the challenge. To address these challenges, teachers employ coping strategies like differentiated instruction, resource utilization, improvisation, and seeking parental involvement. Keywords: reading comprehension, resource limitation, optimum classroom environment, Phenomenology, teachers challenges. Abstrak: Menavigasi Tantangan dalam Meningkatkan Pemahaman Membaca Bahasa Inggris Siswa melalui Lingkungan Kelas yang Optimal. Kajian fenomenologi kualitatif ini bertujuan untuk mengeksplorasi perspektif, tantangan, dan strategi penanggulangan guru dalam menciptakan lingkungan seperti itu. Temuannya mengungkapkan bahwa guru memandang lingkungan kelas yang optimal untuk meningkatkan pemahaman membaca mencakup lingkungan belajar yang kondusif, pengalaman belajar yang diperkaya, dan faktor lingkungan. Selain itu, studi ini menyoroti bahwa guru menghadapi tantangan seperti terbatasnya sumber daya, termasuk pendanaan, materi, dan teknologi, serta kondisi dan infrastruktur kelas. Selain itu, faktor siswa, termasuk rendahnya minat membaca, masalah kesehatan, dan ketidakhadiran, menambah kompleksitas tantangan ini. Untuk mengatasi tantangan ini, guru menerapkan strategi penanggulangan seperti pengajaran yang berbeda, pemanfaatan sumber daya, improvisasi, dan mencari keterlibatan orang tua. Kata kunci: pemahaman bacaan, keterbatasan sumber daya, lingkungan kelas yang optimal, Fenomenologi, tantangan guru. DOI: http://dx.doi.org/10.23960/jpp.v13.i3.202303
Analysis of the Need for Teaching Materials for Japanese Writing Courses (Sakubun II) Based on 21st Century Skills

This study aims to collect the information needed to find a form of teaching material that fits the needs of students and the demands of a new 21st-century skill-based curriculum in writing courses at the basic secondary level (Sakubun II). The research method used is R&amp;D with a mixed approach. These qualitative and quantitative approaches aim to describe the needs of students, lecturers, and study programs for writing teaching materials following the 21st-century curriculum. Data collection techniques were carried out in three ways: reviewing documents, questionnaires, and observation. The results showed that the Japanese Language Education Study Program FBS UNJ needed teaching materials focused on achieving writing skills and could also motivate students to have ideas and be creative in writing easily. Regarding the structure of teaching materials, various teaching materials are needed to encourage students to write in digital literacy discourse. From the questionnaire results, three needs were found at the top level, namely the need for teaching materials that focus on critical thinking skills, creativity, and basic literacy, so the portion of activities that can accommodate these needs must be enlarged.
Peer-tutoring Worksheet to Improve Student’s Self-efficacies at Department of Educational Sciences, Faculty of Education and Teacher Training, Universitas Lampung

Peer-tutoring Worksheet to Improve Student’s Self-efficacies at Departement of Educational Sciences, Faculty of Education and Teacher Training, Universitas Lampung. Objectives: This quantitative approach research investigated the influence of peer tutoring worksheet to improve student’s self-efficacy in learning. Methods: This study involved 56 students at primary teacher education, department of science education, Universitas Lampung. This study used N-Gain analysis and paired sample t-test to find the differences and improvement between pre-test and post-test in self-efficacy after given peer-tutoring worksheet treatment. Finding: Paired sample t-test indicated that there are the significant differences between pre-test and post-test after given peer tutoring worksheet treatment. N-gain analysis also revealed that there is improvement in student’s self-efficacy in learning after using peer-tutoring worksheet method in learning. With peer-tutoring worksheets, students are able to encourage and support each other so it increased student’s self-efficacy. Conclusion: Peer-tutoring worksheet are effective to improve student’s self-efficacy in learning. Keywords: worksheet, peer-tutoring, self-efficacy, students Abstrak: The Peer-tutoring Worksheet to Improve Self-efficacies of Students in the Educational Sciences Department of the Faculty of Education and Teacher Training in Universitas Lampung. Tujuan: Penelitian kuantitatif ini menyelidiki tentang pengaru lembar kerja peer-tutoring untuk meningkatkan self-efficacy mahasiswa dalam melakukan pembelajaran. Metode: Penelitian ini melibatkan 56 mahasiswa Pendidikan guru sekolah dasar, Jurusan Ilmu Pendidikan, Universitas Lampung. Penelitian ini menggunakan analisis N-Gain dan uji t sampel berpasangan untuk mengetahui perbedaan dan peningkatan antara pre-test dan post-test setelah diberikan lembar kerja peer-tutoring. Temuan: Uji t sampel berpasangan menunjukan bahwa terdapat perbedaan yang signifikan antara pre-test dan post-test setelah diberikan lembar kerja peer-tutoring. Analisis N-Gain juga mengungkapkan bahwa terdapat peningkatan self-efficacy setelah diberikan lembar kerja peer-tutoring. Dengan diberikannya lembar kerja peer-tutoring, mahasiswa mampu untuk mendorong dan mendukung satu sama lain sehingga dapat menaikan tingkat self-efficacy mahasiswa. Kesimpulan : Lembar kerja peer-tutoring efektif untuk meningkatkan self-efficacy mahasiswa dalam pembelajaran. Kata kunci: lembar kerja, peer tutoring, self-efficacy, mahasiswa DOI: http://dx.doi.org/10.23960/jpp.v13.i3.202323
Improving Reading Literacy Rate of ALS (Alternative Learning System) Students Through Casaup-Literacy Program

ne of the imminent programs the government instituted for this concern is the Alternative Learning System (ALS) which aims at providing opportunities for students who are not succeeding in the traditional classroom setting to obtain academic credit, career exploration activities, and extended teacher/peer support in an alternative setting where the ultimate goal is that obtaining a diploma. The study aimed to determine the reading levels of the respondents before and after the administration of a reading intervention program. The Reading program was conceptualized as an extended service to enhance the reading abilities of the ALS students. It employed the descriptive type of research to gather facts and information regarding the reading performance levels of the respondents. The respondents of the study consisted of 70 students from ALS Program of the DepEd ALS Program. The researchers utilized the Functional Literacy Test (FLT) a standardized reading assessment tool which was administered before the intervention and after the reading program. T-test was used in the treatment of the data. Based on the findings; generally, the respondents’ age ranges from 15-23 with a minimal percentage of the ages 42-51. This shows that students tend to stop their education after attending basic education. The mean results of the pre-test which is 4.0294 are far behind the results of the post-test, which is 9.4411 mean, this indicates a highly significant difference is evident in the statistical treatment. A t-value of -29.583 resulted and a p-value of 0.000 was obtained from the data. This proves a high significance is displayed in the results and that the intervention program has proven its effectiveness in the reading performance of the ALS Students.
A Corpus-Based Study on Korean High School Students’ Common Errors in English Writing

The purpose of this study is to investigate the common errors in writing production made by Korean high school students. It aims to provide information on the areas that Korean high school students need to develop and to inform their educational needs. For this, high school students’ writing samples were collected and built into a learner corpus named Shinhyeon Corpus of High school Learners’ English Essays (SCOHLEE). The study identified frequent errors produced by the high school students adopting a computer-aided error analysis (CEA) technique using the Louvain Error Tagging Manual, and quantitative and qualitative analyses were conducted by using corpus tools (AntConc 4.0). The results revealed that a total of 3,368 errors were categorized into 7 major categories and 47 sub-categories, with article errors (GA) produced the most. Regarding English proficiency, mid-level learners produced a higher rate of errors and a wider range of error types. Additionally, the study showed a significant increase in the frequency of punctuation errors in the second semester. Overall, this study has pedagogical implications for lexis, grammar and writing instruction and the provision of error correction.
Robust Retraining-free GAN Fingerprinting via Personalized Normalization

In recent years, there has been significant growth in the commercial applications of generative models, licensed and distributed by model developers to users, who in turn use them to offer services. In this scenario, there is a need to track and identify the responsible user in the presence of a violation of the license agreement or any kind of malicious usage. Although there are methods enabling Generative Adversarial Networks (GANs) to include invisible watermarks in the images they produce, generating a model with a different watermark, referred to as a fingerprint, for each user is time- and resource-consuming due to the need to retrain the model to include the desired fingerprint. In this paper, we propose a retraining-free GAN fingerprinting method that allows model developers to easily generate model copies with the same functionality but different fingerprints. The generator is modified by inserting additional Personalized Normalization (PN) layers whose parameters (scaling and bias) are generated by two dedicated shallow networks (ParamGen Nets) taking the fingerprint as input. A watermark decoder is trained simultaneously to extract the fingerprint from the generated images. The proposed method can embed different fingerprints inside the GAN by just changing the input of the ParamGen Nets and performing a feedforward pass, without finetuning or retraining. The performance of the proposed method in terms of robustness against both model-level and image-level attacks is also superior to the state-of-the-art.
THE USE OF SIMULATED PATIENT IN ONLINE SELF-MEDICATION PRACTICE IN PHARMACY EDUCATION

Background: The use of simulated patients on pharmacy education in Indonesia very rare, where most of the use of simulated patients is only to evaluate the performance of practicing pharmacists in the workplace and students during exams. Whereas use of simulated patients can improve performance students dealing with patients. This study wanted to see the impact of using simulated patients on the learning process in pharmacy education by online self-medication practice with assessed using the QuEST SCHOLAR instrument.Method: Study design on this research was quasi experimental with pretest–posttest in single group. The approach of this study using mix method with sequential explanatory design. The quantitative data was pretest and postest performance student, where assessed using the QueST SCHOLAR instrument and then analyzed using paired t-test, while the qualitative data explaining the impact of using simulated patients and peer to performance students choose based on maximum variation sampling to do in depth interview with semi structured questions then transcribed and coding by two coder.Results: Quantitative results have a significant change when performing role play with simulated patients, as evidenced by the results of the paired t-test with simulated patients that is equal to 0.00 value. According to student perceptions, students prefer role play with simulated patients than with peers because the simulated patient is like a real patient and provides feedback so that students know their weaknesses and can boost their self-confidence.Conclusion: The performance of students has increased as a result of the usage of simulated patients in pharmacy education.
Komparasi Naïve Bayes dan SVM Analisis Sentimen RUU Kesehatan di Twitter

This research focuses on sentiment analysis regarding the plan to ratify the Health Bill which has become a hot topic of conversation on social media, especially Twitter. This research aims to classify tweets that reflect various opinions regarding the Health Bill, including support, rejection and neutrality. In this research, the author uses two types of classification algorithms, namely the Multinomial Naïve Bayes Algorithm and the Support Vector Machine (SVM) Algorithm. Previously, tweets were labelled using the Lexicon InSet dictionary. The research was conducted in the Python programming language and using Google Collaboratory. Data validation was carried out using the K-fold cross-validation method. The research results indicate that both algorithms predominantly produce positive sentiments over negative ones. However, SVM with a linear kernel achieves a higher accuracy rate of 0.87, compared to Multinomial Naïve Bayes, which has an accuracy of 0.82. SVM also records a precision of 0.87, recall of 0.97, and an F1-score of 0.91, while Multinomial Naïve Bayes shows a precision of 0.81, recall of 0.98, and an F1-score of 0.89. Overall, this research confirms that SVM excels in text sentiment classification, while Multinomial Naïve Bayes also provides good results in recognising positive and negative sentiment. These results have important implications for understanding public sentiment regarding the Health Bill on the Twitter platform.
Markov Combinatorial Processes for Reinforcement Learning and Combinatorial Optimization Problems

Solving combinatorial optimization problems is a crucial challenge in many real-world applications. These problems require the optimal choice of combinations from a large set of possibilities, subject to the specific constraints of the problem under consideration, in order to maximize or minimize an objective function. In recent years, Reinforcement Learning (RL) has attracted considerable attention as a potential innovative tool for tackling these complex tasks. The main challenge, to solve combinatorial optimization problems using RL, is related to the need of overcoming the sequential nature of the Markov Decision Processes (MDP) model, on which the solution algorithms are based. In this work, we present an extension of the MDP, that enables software agents to learn from a model, that better reflects the non-sequential nature of these problems. The results demonstrate that, for the first time, a software agent can provide optimal results or, at the very least, solutions with minimal deviation from the optimal values, in the majority of the benchmark instances used in the computational study.
Investigating Methods of Searching for Key Frames in Video Flow with the Use of Neural Networks for Search Systems

Various methods of video content data analysis are presented, compared, and evaluated in this paper. Due to the analysis, the most effective strategies for video data processing involve searching for key frames within the video stream. The examined methods are categorized into consistent comparison, global comparison based on clustering, and event/object-based methodologies. Key techniques such as sequence search, classification, frame decoding, and anomaly detection are singled out as particularly valuable for comparison and matching tasks. The research further reveals that artificial intelligence and machine learning-driven methods reign supreme in this domain, with deep learning approaches outperforming traditional techniques. The employment of convolutional neural networks and attention mechanisms to capture the temporal intricacies across variable scopes is especially noteworthy. Additionally, leveraging the Actor-Critic model within a Generative Adversarial Network framework has shown encouraging outcomes. A significant highlight of the study is the proposed approach which incorporates modified Independent Recurrent Neural Networks (IndRNN) complemented by an attention mechanism. The enhancement using mathematical tools, notably the standard deviation, for key frame detection, exemplifies the potential of integrating analytical instruments to refine the system's precision. Such advancements, as presented in this research, pave the way for substantial enhancements in information systems tailored for video content analysis and source identification.
PENGEMBANGAN E-MODUL BERBASIS FLIPBOOK MAKER PADA PEMBELAJARAN TEMATIK DISEKOLAH DASAR

This study aims to produce an e-module based on Flipbook Maker in the thematic learning of Grade 5 SD with the theme 6 of Heat and its Transfer to improve learning outcomes. To achieve the research objectives, the Research and Development (R&amp;D) method was used with the Dick and Carey development model through 8 stages. This research and development produces E-modules like electronic books by designing and using flipbook makers in thematic learning in elementary schools on theme 6 Sub-theme 1 learning 1 to 6 grade 5 with the characteristics of this product that can be used on Android smartphones, laptops with the help of software and the internet network in which there are step menus leading to learning from the material menu the question menu, the observing menu, the information gathering menu, the reasoning menu, and the communicating menu. This research was conducted at SD Negeri 21 Riam Berasap with 72 research subjects consisting of fifth grade students with details of 3 students for one to one individual tests, 9 students for small group tests, and 30 students for field tests. As well as In this study involved 6 design expert validators, media experts, and thematic subject matter experts. Data from questionnaires and attitude scale instruments were analyzed by qualitative and quantitative analysis. Overall, from the results of data analysis (in the value range 1-5) the E-module is stated to be "very valid" with an average of 4.5. Thus, the analysis of empirical test data with individual test procedures, small groups, and field tests on 30 students of SDN Negeri 08 Siduk grade 5 shows the attitude of students is "very happy" using e-modules based on Flipbook maker using smartphone android, as well as leptopo with an average 80.9%. The e-module effectiveness test with the criteria of students' attitudes towards the e-module and pre-test and post-test scores involving 30 students turned out to be quite good which can be proven by the results in the data, the flipbook maker-based e-module in school thematic learning basic can be applied to grade 5 students.
A Qualitative Study on the Growth Process of Adult Learners in Lifelong Learning

The purpose of this study is to investigate the growth and changes of common adult learners after their participation in lifelong learning. For this purpose, the investigator conducted a focus group interview(FGI) with 9 adult learners that were active to participate in lifelong learning programs in the community. As a result, they were participated to lifelong learning with different opportunities, participated in a variety of lifelong learning programs with curiosity and expectations, and conducted their own inquiry little by little. In the process, they got to recognize the areas of learning that met their interests and needs and get immersed in certain areas of learning. Being persistent with their lifelong learning, they enhanced their own competencies and professionalism and grew into maturer learners by a notch. In other words, adult learners that used to students grew and became the subjects to plan or lead a lifelong learning program for others and the community. They also grew into self-directed lifelong learners based on the fusion of life and learning, identifying the learning topics needed in their lives sensitively, exploring learning information linked to them efficiently, making achievements through active participation, and changing their lives by practicing outcomes. Like this, adult learners were growing through their participation in lifelong learning from ‘Participate in lifelong learning’ through ‘exploring learners’ and ‘Growing learners(community-oriented or individual-oriented)’. Based on the growth and changing process of adult learners specifically examined in the study, the investigator proposed differentiating supportive measures at the levels of lifelong educators and lifelong learning.
PERANCANGAN APLIKASI REPOSITORY JURNAL ONLINE Studi Kasus Mahasiswa Kwik Kian Gie Berbasis Android

The system design is an important aspect in the development of information systems. The purpose of this research is to design and implement a system that will be created. And will help final year students who are looking to implement the final project can use this study as an efficient way to see the references required. This study uses the waterfall as a method to design the system. The new application is expected to handle the problems faced by students in finding reference journals. The results from this study is the online journal of information system applications that can provide ease in finding the journal. The conclusion of this study is a new information system that provide ease in searching and input journal in mobile and online within Kwik Kian Gie Campus.Keywords: internet, android, online journal, smartphone , referential studies
Study on Availability, Accessibility and Problems Associated with Use of ICTs among Rural Women of Assam, India

This study analyse the availability as well as accessibility and problems associated with use of ICTs among rural women from the state of Assam and similarly Jorhat and Nagaon districts of Assam, India was selected for the present study including a total number of 400 respondents who were selected as considering the Simple Random sampling method. The findings revealed that majority of the farmers are having mobile phones as well as television and radio. Further ranking method was used to identify the problems faced by the respondent with use of ICTs. Among the various problems faced by the respondents while using the ICTs, “Lack of confidence while using ICTs” has been given ranked I (0.96), followed by “High cost of ICT Services”, assigned ranked II (0.91) and “Irregularity in power supply”, was ranked III (0.89). To provide benefits to the women farmers by using the ICTs and to reduce the gender imbalances from the society rural women’s access towards ICTs and the constraints associated while use of ICT by the rural need to be studied. Hence the present study has been undertaken to address some of these areas. Thus as a whole the main purpose of this study examines the extent of rural women’s availability, accessibility and constraints associated while use of ICTs by rural women.