Reviewerly/exHarmony huggingface dataset:
Communication is The Key to Promote Organizational Citizenship Behavior During Restructuring Organization

Authors:
raw_author_name: Anhar Januar Malik
raw_affiliation_string: Retail Management Program, Institut Teknologi dan Bisnis Kalla, Makassar

Abstract: This research was conducted with the aim of answering phenomena, both the factual conditions of the business environment and the results of previous research so that it is beneficial for organizations to adopt the best policies for their organization. Apart from that, conceptually, this research is expected to contribute to the development of knowledge related to restructuring and employee organizational citizenship behavior related to communication. Moreover, the mediating effect of communication on the organization restructuring and organization citizenship behavior are examined through a quantitative technique. The data comes from companies that operate in the manufacturing sector and have undergone restructuring. Data from a sample of 72 emplyees were used to examine the hypothesized models. Results show that communication fully mediated the relationship between organizational restructuring and organizational citizenship behavior.
A Study on the Relative Efficiency and Productivity Change of Junior College

Authors:
raw_author_name: Do-Jin Kim

Abstract: This study was conducted to measure the relative efficiency of 124 junior colleges in Korea. Data for three years from 2020 to 2022 were provided on the university information disclosure website, and the relative efficiency and productivity changes of junior colleges were analyzed using DEA and Malmquist techniques. As a result of the DEA analysis, it was analyzed that the efficiency of 23 junior colleges in 2020, 34 in 2021, and 26 in 2022 is determined by scale. As a result of the analysis of the Malmquist productivity index, a total of 33 junior colleges have generated technological progress, and 91 junior colleges have generated technological regression, which is about three times higher than the occurrence of technological progress. The average value of MPI-based productivity was analyzed to have decreased by about 4.8% over three years, and it was found to be affected by changes in efficiency. It was analyzed that 108 junior colleges were affected by efficiency by scale, excluding 16 junior colleges that were analyzed to have pure technological efficiency greater than efficiency of scale.
A Study on the Mediating Effects of Social Support and Learning Engagement in the Relationship between Chinese Women's Lifelong Learning Motivation and Learning Outcomes

Authors:
raw_author_name: XIA ZHOU
raw_author_name: Jae Bok Seo

Abstract: The purpose of this study is to investigate the relationships among lifelong learning motivation, social support, learning engagement, and learning outcomes in Chinese adult women to enhance their lifelong learning performance. The research examines differences in lifelong learning motivation, social support, learning engagement, and learning outcomes among Chinese adult women based on background variables. Additionally, the study analyzes the structural relationships between these variables and explores the mediating effects of social support and learning engagement. According to the results, adult women's motivation for lifelong learning has a positive impact on learning outcomes, and both learning orientation and goal orientation also positively influence learning outcomes. Positive relationships were observed between lifelong learning motivation and social support, learning orientation and social support, as well as goal orientation and social support. In terms of the relationship with learning engagement, both lifelong learning motivation and learning orientation had a positive impact, while the relationship with goal orientation was not significant. Furthermore, indirect effects of social support and learning engagement on learning outcomes were confirmed. Social support mediated the relationship between lifelong learning motivation and learning outcomes, as well as between learning orientation and learning outcomes, and goal orientation and learning outcomes. The study's findings highlight that Chinese women's lifelong learning motivation positively influences learning outcomes through social support and learning engagement. Consequently, the study suggests strategies to enhance lifelong learning motivation, improve social support, and foster learning engagement in Chinese women to elevate their learning outcomes. Efforts are emphasized to strengthen social support and promote diverse learning activities for the positive influence of women's lifelong learning motivation on learning engagement and outcomes.
The Importance-Performance Analysis and Educational Needs of Elementary Pre-service Teachers' Competencies in Intelligent Information Society

Authors:
raw_author_name: Soo-Young Lee

Abstract: This study aims to provide implications for improving teacher education programs for elementary pre-service teachers by analyzing the importance and performance differences, as well as educational needs of their competencies in the intelligent information society. To achieve this, an online survey was conducted with 299 elementary pre-service teachers, and various analyses were performed, including paired sample t-tests, Importance-Performance Analysis (IPA), Borich needs analysis, and The Locus of Focus model analysis. These analyses identified competencies requiring enhancement and derived educational priorities for each competency. The results revealed, firstly, that all aspects of competencies for elementary pre-service teachers in the intelligent information society were statistically significantly higher in importance than in performance. Secondly, the analysis of the differences in importance and performance of competencies in the intelligent information society identified competencies falling under the ‘Concentrate Here' category, including development of teacher expertise (F), adptation to social paradigm shifts (F), and curriculum reorganization (D). Thirdly, according to Borich's need analysis and The Locus of Focus model analysis, the top educational needs among competencies for elementary pre-service teachers in the intelligent information society were adapting to changes in social paradigms (F) and development of teacher expertise (F) as the first priority, establishing and managing learning ecosystems (D) and interpreting and utilizing big data (E) as the second priority, and curriculum reorganization (D) and customized learning design (D) competencies as the third priority. Based on these results, the study discusses implications for improving teacher education programs for future teachers by understanding the competencies required for elementary pre-service teachers in the intelligent information society.
Analyzing the Short-term and Long-term Effects of the Free-Semester Program on Career Maturity

Authors:
raw_author_name: Lina Kim
raw_author_name: Moonyoung Eom

Abstract: This study aimed to analyze the short-term and long-term effects of the free-semester program on career maturity. For this purpose, this study conducted fixed-effects and difference-in-differences analyses along with descriptive analyses using second- through eighth-wave data from the Korean Education Longitudinal Study (KELS). The results of the descriptive statistics analysis showed that in elementary school, the career maturity of the group who had not experienced a free-semester program was higher. However, from the first year of middle school, the career maturity of the group who had experienced a free-semester program tended to increase. The difference between the two groups, however, decreased in high school. The fixed-effects and the difference-in-differences analyses showed that the effect of the free-semester program on career maturity was significant in middle school but not in high school. This confirms that the short-term effect of the free-semester program is positive, but the long-term effect is insignificant. Based on the above findings, this study recommends reconsidering the timing of the free-semester program or implementing additional career programs in high school.
The Role of Cloud Computing in Transforming ICT Infrastructure in Educational Institutions

Authors:
raw_author_name: Umar Ibrahim
raw_affiliation_string: Department of Computer Science, Adamu Augie College of Education, Argungu, Kebbi State

Abstract: The integration of cloud computing into the Information and Communication Technology (ICT) infrastructure of educational institutions is a transformative paradigm that holds significant implications for the efficiency and efficacy of academic processes. This paper explores the role of cloud computing in reshaping ICT infrastructure within educational settings. A comprehensive literature review establishes the current landscape of ICT in education, identifying challenges and limitations. The study delves into the theoretical foundations of cloud computing and investigates its potential benefits, including improved accessibility, scalability, and cost-effectiveness. Empirical evidence and case studies are presented to illustrate the transformative impact of cloud computing on educational ICT infrastructure. The discussion encompasses challenges and considerations, including data security and privacy concerns, and offers insights into the future directions of cloud computing in education. This research contributes to the ongoing dialogue surrounding technology in education and provides practical recommendations for harnessing the full potential of cloud computing.
Development of Google Sites Web-Based Multimedia Learning in the Arts and Culture Subject for Class X TKJ 2 UPT SMK Negeri 2 Sidenreng Rappang

Authors:
raw_author_name: None Abd. Kahar

Abstract: This advancement investigate points to create a item within the shape of Google Destinations Web Learning Mixed media for the Expressions and Culture subject lesson X TKJ 2 UPT SMK Negeri 2 Sidenreng Rappang. The investigate strategy utilized is the Investigate and Advancement (R&amp;D) improvement show with the 4D advancement demonstrate which has been created by Thiagarajan, Semmel and Semmel (1974) which incorporates four stages, to be specific: Characterize which incorporates the beginning last investigation steps, understudy Investigation , concept investigation, and detailing of learning targets; Plan or arranging which incorporates the steps of planning tests, selecting media, selecting instructing fabric groups, and making starting plans; Create or improvement which incorporates item improvement steps, master evaluation, improvement trials, and item modifications. Information collection strategies utilize perception, interviews, surveys and tests which are at that point analyzed quantitatively distinctly; Spread or spread which incorporates the steps of disseminating media. The appraisal comes about appear that the advancement of Google Destinations Web Learning mixed media is evaluated as exceptionally substantial and exceptionally viable. These comes about were gotten from media and fabric master approval, instructor reactions, and reactions from course X TKJ 2 UPT SMK Negeri 2 Sidrap students.
Digital Language Learning in Higher Education: A Critical Literature Review on Teachers' and Students' Challenges

Authors:
raw_author_name: None Andi Asrifan
raw_affiliation_string: Universitas Muhammadiyah Sidenreng Rappang
raw_author_name: None Anita Candra Dewi
raw_affiliation_string: Universitas Negeri Makassar

Abstract: Higher education is using DLL more. Both teachers and students are used to digital learning. We have several digital learning examples. Teacher and student struggles with digital learning, such as using it, persist. This study reviews five-year-old references on digital learning in higher education. The researchers reviewed the literature on digital learning issues in higher education to determine what lecturers and students encounter in teaching and learning. The results suggest that teachers and students encounter issues including readiness to use them. Teachers and students struggle with technology access in different places, thus they should be discussed.
Assessing the Impact of Mobile Applications on Student Engagement in ICT and Computer Science Education

Authors:
raw_author_name: Umar Ibrahim

Abstract: This paper investigates the impact of mobile applications on student engagement in the realms of Information and Communication Technology (ICT) and Computer Science Education. As the integration of mobile applications in educational settings becomes increasingly prevalent, understanding their influence on student engagement is crucial for optimizing learning experiences. The study employs a [mention research design] to assess the effectiveness of selected mobile applications aligned with the curriculum. Data analysis involves [mention specific methods], focusing on measuring and evaluating student engagement levels. The results reveal [highlight key findings], shedding light on the implications for enhancing ICT and computer science education. This research contributes to the existing literature by addressing gaps and providing insights into the practical use of mobile applications in educational settings.
Benefits and Challenges of Mobile-Learning Brought to Student Learning Outcomes in Higher Education: A Systematic Review from 2014-2023

Authors:
raw_author_name: Jingdan Kang

Abstract: The development of technology has brought new development opportunities to education, in other words, mobile and remote learning have become an indispensable part of various schools. In addition, the impact of mobile and remote learning on students has attracted attention from all sectors of society. Mobile learning has been utilized in the process of teaching and learning in higher education, leading to various impacts on student learning outcomes. Many researchers have conducted empirical studies to explore how mobile learning impact student outcome in higher education institutions. To facilitate the use and design of mobile learning and improve teaching and learning in the digital age, there is a urgent need to review existing literature and identify benefits and challenges that ML lead to student learning outcomes. This study uses systematic literature review (SLR) to analyse 355 articles from Scopus and wos. Mobile learning bring benefit as follows: Providing Flexibility and Accessibility; Improving learning effectiveness;Developing internal motivation and positive attitude; Enhancing student engagement. On the other hand, mobile learning cause several challenges: current functions failed to complete leaning and teaching outcomes; Distracting user from knowledge learning; leading to vision impairment. I suggest further researcher to identify how ML influence teachers and teaching process.
Augmented Reality in 4D Flashcard: The Effects in Teaching Speaking Skill

Authors:
raw_author_name: Nanning Nanning
raw_affiliation_string: Institut Agama Islam Negeri Parepare
raw_author_name: Ismail Latif
raw_affiliation_string: Institut Agama Islam Negeri Parepare
raw_author_name: Ahmed Sardi
raw_affiliation_string: STKIP Darud Da'wah wal Irsyad Pinrang

Abstract: The use of augmented reality of 4D flashcard is one of the media that supports teaching English, especially in speaking skills, it can also increase students' confidence and interest in learning. The purpose of this study was to determine whether the use of augmented reality in 4D flashcard can improve students ' speaking skills. This study used a pre-experimental method with one group pre-test and post-test design. The sample of this study was Class XI MIPA 3 consisting of 34 people with classroom random sampling techniques. This research instrument was a test of speaking skills. The results of this study showed that there was an increase in the students’ average score. The pre-test score of students (55.37) is greater than the post-test (71.03). In the significance level p (5%) and T-test value of 2.03 is greater than T-table 16.46 (2.03 ° 16.46). Thus, it can be concluded that the use of augmented reality of 4D flashcard students were able to improve students’ speaking skills. So, the null hypothesis (H0) is rejected, and the alternative hypothesis (Ha) is accepted.
Teaching Model Development of English Speaking Skill Using Story Telling in Junior High School

Authors:
raw_author_name: Arsen Nahum Pasaribu
raw_affiliation_string: Universitas HKBP Nommensen Medan
raw_author_name: Kammer Sipayung
raw_affiliation_string: UNIVERSITAS HKBP NOMMENSEN MEDAN

Abstract: The research aim is to describe the problem of speaking ability in junior high school needs to be done to observe the development of students'' learning difficulties in current speaking skills.The type of research is a class action research descriptive quantitative. The population of this research is class VIII teacher at Junior High School state three Binjai. Based on the results of the pre-test, the pre-test mean score was 66,26 and the mean score in the post-test was 86,93. It can be seen that the students'' skill in speaking by using storytelling technique increased. From these calculations, it can be inferred that there was a difference of students'' scores before and after receiving the treatment. The affect storytelling used single story telling is from score minimum pre-test 30 to score post test is 82 and score maximal pre-test 65 and post-test is 82 it is mean the research is succeed and have affect to speaking skill. The improving from the research is when using the single story telling model, the results obtained increased by approx. 49%. Based on the data analysis, the researcher found that storytelling technique can improve students’ skill in speaking. As the result from the pre-test and post-test mean scores which were given. The improvement of mean score was 66,26 to 86,93.It means that there is significant difference of achievement between the students who were taught by using storytelling technique and the students who were taught without storytelling technique. The data also showed that students felt that storytelling technique could help them in speaking. Most of them also responded that they attempt to use storytelling technique in their daily speaking.
Implementasi Sistem Monitoring Alat Pengering Biji Kopi Berbasis IoT (Internet of Things)

Authors:
raw_author_name: Ika Noer Syamsiana
raw_author_name: Tresna Umar Syamsuri
raw_author_name: Arwin Datumaya Wahyudi Sumari

Abstract: Indonesia holds the third position in global coffee bean supply, with a 3.3% increase in demand in 2021 according to ICO data. In line with ICO Resolution 407, coffee bean quality must be high, indicated by a 12.5% moisture content through drying processes. Mechanical drying is faster than traditional methods, thus becoming the focus of this research. This study implements an IoT-based monitoring system for coffee bean drying equipment. The aim is to create and implement a monitoring system for temperature (0°C - 70°C) and electrical energy consumption (kWh) in coffee bean drying, displayed on the ThingSpeak dashboard. Test results show that the temperature monitoring system using DHT22 sensors at the inlet and outlet of the rotary dryer tube has an average error of 2.1%. The energy monitoring system using PZEM-004T has a 0% energy measurement error. These results indicate a reliable monitoring system that enables remote monitoring via the internet. Furthermore, the study tests manual (on/off) and fuzzy logic control methods to achieve 12% moisture content in coffee beans. The fuzzy logic control method demonstrates better temperature stability and 11.2% cost savings in operational expenses. This research benefits coffee farmers by facilitating efficient monitoring of the bean drying process, and recommends the use of the fuzzy logic control method for stable temperature and lower operational costs.
Implementation Of Death Crime Executions for Class I Narcotics Distributors

Authors:
raw_author_name: Hadi Susanto
raw_affiliation_string: Universitas Krisnadwipayana

Abstract: The enactment of Law Number 35 of 2009 concerning Narcotics, types of Psychotropics class I and class II as stated in the attachment to Law Number 5 of 1997 concerning Psychotropics have been moved to Narcotics class I in Law Number 35 of 2009 concerning Narcotics and the attachment regarding types of Psychotropics class I and class II in Law Number 5 of 1997 concerning Psychotropic Substances are revoked and declared invalid. With this figure, the level of narcotics use in Indonesia is the largest in Asia. Indonesia is considered a drug emergency, the process of executing the death penalty does not have a deterrent effect on drug dealers or smugglers. The problem is, how to carry out the execution of the death penalty for class I narcotics dealers and what are the obstacles to not immediately carrying out the death penalty for class I narcotics dealers. The research method used is Empirical Normative Legal Research. In conclusion: The death penalty imposed by a court in a general court or military court environment is carried out by being shot to death. This provision does not reduce existing provisions in the criminal procedural law regarding carrying out court decisions. Based on Law No. 35 of 2009 concerning Narcotics. And the factors that cause obstacles in the implementation of the death penalty include legislative factors (legal substance), law enforcement factors, means and facilities factors, and community factors.
Emergency sign language recognition from variant of convolutional neural network (CNN) and long short term memory (LSTM) models

Authors:
raw_author_name: Muhammad Amir As'ari
raw_affiliation_string: Dept of Biomedical Engineering and Health Sciences, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Johor Bahru, 81310, Malaysia
raw_author_name: Nur Anis Jasmin Sufri
raw_affiliation_string: Department of Biomedical Engineering and Health Sciences, Faculty of Electrical Engineering, Universiti Teknologi Malaysia
raw_author_name: Guat Si Qi
raw_affiliation_string: Department of Biomedical Engineering and Health Sciences, Faculty of Electrical Engineering, Universiti Teknologi Malaysia

Abstract: Sign language is the primary communication tool used by the deaf community and people with speaking difficulties, especially during emergencies. Numerous deep learning models have been proposed to solve the sign language recognition problem. Recently. Bidirectional LSTM (BLSTM) has been proposed and used in replacement of Long Short-Term Memory (LSTM) as it may improve learning long-team dependencies as well as increase the accuracy of the model. However, there needs to be more comparison for the performance of LSTM and BLSTM in LRCN model architecture in sign language interpretation applications. Therefore, this study focused on the dense analysis of the LRCN model, including 1) training the CNN from scratch and 2) modeling with pre-trained CNN, VGG-19, and ResNet50. Other than that, the ConvLSTM model, a special variant of LSTM designed for video input, has also been modeled and compared with the LRCN in representing emergency sign language recognition. Within LRCN variants, the performance of a small CNN network was compared with pre-trained VGG-19 and ResNet50V2. A dataset of emergency Indian Sign Language with eight classes is used to train the models. The model with the best performance is the VGG-19 + LSTM model, with a testing accuracy of 96.39%. Small LRCN networks, which are 5 CNN subunits + LSTM and 4 CNN subunits + BLSTM, have 95.18% testing accuracy. This performance is on par with our best-proposed model, VGG + LSTM. By incorporating bidirectional LSTM (BLSTM) into deep learning models, the ability to understand long-term dependencies can be improved. This can enhance accuracy in reading sign language, leading to more effective communication during emergencies.