bluuebunny/crossref_metadata_2025 huggingface dataset:
The Use of Joox Application to Improve Students’ Listening Skill at the Eleventh Grade of SMK La-Tahzan Munjul Pandeglang in Academic Year 2022/2023
Authors: Deliyanti Dian , Riandi Riandi , Novari Ari Fajria
Published: January 2024

This research aimed to examine the use of Joox application as a media in teaching listening skill at the eleventh grade of SMK La-Tahzan Munjul in academic year 2022/2023. This research used quantitative approach with quasi experimental method. Achievement test is used in collecting the data, included pre-test and pot-test. Joox application is used as a teaching learning media. The population of this research is the eleventh grade of SMK La-Tahzan Munjul Pandeglang in academic year 2022/2023. The sample of this research is class XI Software Engineering and XI Computer and Network Technique, each class consists of 26 students. The researcher conducted the data by giving the test to both classes. The form of the test is multiple choice and error recognition with 25 total numbers of question given. The result of the research showed any improvement in learning outcomes through the use of Joox application as a media in English subject. It can be seen from the result of T-test by obtaining an average result 37.8 for pre-test and 77.4 for post-test in experimental class, by comparing T-count with T-table, because T-table is bigger than T-count or 1,706 > -26,955, then H0 is rejected and Ha is accepted. As a result, there is a significant improvement of using Joox Application on the students’ listening skill at the eleventh grade of SMK La-Tahzan Munjul Pandeglang in academic year 2021/2022.
The Effect of Think-Talk-Write (TTW) Strategy Toward Students’ Descriptive Text Writing Skill at The Tenth Grade of MAN 2 Pandeglang in Academic Year 2021-2022
Authors: Nuriah Nuriah , Riandi Riandi , Gumelar Rizdki Elang
Published: January 2024

The purpose of this research to investigated the effect of Think-Talk-write (TTW) strategy toward students’ descriptive writing skill. This research used quantitative approach and quasi-experimental method. The sample of this research was 60 students that consisted of 30 student of experimental class and 30 student of control class. The data was analyzed by using statistical of program SPSS 22. Based on the result of data analysis, the result showed that mean score of post-tests in the experimental class was 64,90 and mean score of post-tests in the control class was 63,43. The result of t-test obtained sign score 0.000 < 0.05 it means the alternative hypothesis was accepted and the null hypothesis was rejected. As the result there is significant effect of Think-Talk-Write (TTW) strategy toward students’ descriptive text writing skill at the tenth grade of MAN 2 Pandeglang.
The Effect of Riddles Game Toward Student’s Vocabulary Mastery At The Eighth Grade of SMPN 1 Cihara Lebak Banten Academic Year 2023/2024
Authors: Silviani Nani , Rohimajaya Nur Azmi , Novari Ari Fajria
Published: January 2024

This research aims to investigate a significant Effect of Riddle Game Toward Student's Vocabulary Mastery at the Eighth Grade of SMPN 1 Cihara Lebak Banten in Academic Year 2023/2024. The research used the quantitative approach and quasi-experimental design. This research used two classes, they are control class and experimental class. The technique in choosing the sample is cluster random sampling, the researcher used VIII A (34 students) as experimental class and VIII B (33 students) as control class. The experimental group was taught by Riddle Game, while the control group was taught by Crassword Puzzle Game. In the technique Collecting of the data, the researcher gives pre-test and post-test. The score pre-test of control group are 2274, the score pre-test of experimental class are 2324. Then, the score post-test of control group are 2552, the score post-test of experimental group are 2842. In analyzing the data, the researcher used SPSS 25 statistical computation and used the result of the post-test both control class and experimental class to analyze the hypotheses test. The finding showed that the result of Significant two-tailed = 0.000 Therefore, the researcher concluded that the usage of Riddle Game has a significant impact on students vocabulary mastery in SMPN 1 Cihara Lebak Banten.
The Effect of Board Race Game Towards Students’ Vocabulary Mastery At The Eighth Grade Students of MTs Nurul Hidayah Malingping Lebak Banten in Academic Year 2023/2024
Authors: Risa Risa , Riandi Riandi , Rohimajaya Nur Azmi
Published: January 2024

This This study aimed to investigate The Effect of Board Race Game Towards Students’ Vocabulary Mastery at the Eighth Grade Students of MTs Nurul Hidayah Malingping Lebak Banten in Academic Year 2023/2024. The research uses quantitative approach and quasi-experimental design. This study used two classes, they are control class and the experimental class. The technique used for collecting sampling is purpose sampling; the researcher uses class VIII A (20 students) as the control class and class VIII B (20 students) as the experimental class. The experimental class was given treatment board race game, while the control group was given treatment guessing game. In data collection technique, the researcher performs pre-test and post-test. The control group's pre-test score was 1044, while the experimental group's pre-test score was 1184. The control group's post-test score was 1250, while the experimental group's post-test score was 1387. During the process to analyze the data, the researcher used the SPSS 25 statistical calculation method and used the post-test results of both the control and experimental classes to analyze and test the hypothesis. The researcher finds the results Two-sided significance = 0.000 < α 0.05. Therefore, the researcher concludes that board race use has a significant impact on students' vocabulary mastery in MTs Nurul Hidayah Malingping Lebak Banten.
Penguatan Kompetensi Computational Thinking dalam Pembelajaran IPA Melalui Perancangan Pembelajaran Argumentasi Konstruktivis
Authors: Bukhori Saiful , Retnani Windi Eka Yulia , Putra Januar Adi , Dharmawan Tio
Published: January 2024

Argumentasi merupakan keterampilan kritis yang perlu dibangun pada siswa usia SD, dan perlu dikembangkan pada siswa usia sekolah menengah. Secara teoritis, siswa dengan usia muda seharusnya mampu memahami dan mem­bangun argumen, akan tetapi berdasarkan bukti empiris belum mendukung harapan tersebut. Kondisi ini juga terjadi pada siswa di SD sekitar desa jelbuk. Pada pengabdian kepada masyarakat ini dirancang dan diimplementasikan penguatan kompetensi computational thinking (CT) dalam pembelajaran IPA melalui perancangan pembelajaran argumentasi konstruktivis. Penguatan kompetensi CT pada pengabdian ini dilakukan menggunakan konsep CT-Argumentasi. CT menyediakan proses yang diperlukan untuk merumuskan argumen, sedangkan argumen memanfaatkan dan menerapkan keterampil­an CT melalui penalaran logis. CT yang diberikan kepada siswa dalam peng­abd­ian kepada masyarakat ini mengacu pada 4 tahapan yaitu: decompos­ition, pattern recognition, abstraction, dan algorithm. Hasil dari pengabdian kepada masyarakat ini dapat meningkatkan pemahaman siswa terhadap materi sebesar 40%. Pengabdian ini juga mengenalkan CT kepada siswa dan guru, dan dapat meningkatkan keterampilan menyelesaikan permasalahan dengan CT dibuktikan dengan rata-rata 30% siswa yang hadir angkat tangan dan dapat menjawab dengan benar, ketika diberi pertanyaan dengan permasalahan terbuka yang diambil dari contoh soal di situs web resmi Bebras Indonesia.
Reduced painting defects in the 4-wheeled vehicle industry on product type H-1 using the lean six sigma-DMAIC approach
Authors: Zulkarnaen Iskandar , Kurnia Hibarkah , Saing Bungaran , Apriyani Apriyani , Nuryono Arif
Published: January 2024

The current era provides challenges for several automotive industries to be able to compete and maintain the quality of their products. For four-wheeled auto­motive companies, satisfying customers regarding the visual appear­ance of the vehicle body is very important. However, internally, automotive companies still found many defects or failures in painting, amounting to 32.6%. Apart from that, rework also results in additional costs that the company must incur during the painting process. This study aims to clarify types of painting defects, analyze root causes, provide solutions, improve process capabilities, and in­crease the sigma level in the painting process in the four-wheeled vehicle industry. This study uses the Lean Six Sigma method, which is integrated into the DMAIC approach and other improve­ment tools. As a result, this study clarifies four critical defects in the orange peel defects of the painting section, craters, melting, and blur. This study has resulted in several corrective action solutions, including tightening supervision of the performance of painting section operators so that they are consistent and committed to working according to the Standard Operational Procedure (SOP) or work instructions that have been created. A competency matrix is used to evaluate operator performance, which is reported to super­iors and subordinates by the supervisory depart­ment. After carrying out corrective action, this study increased the process capability from 1.17 to 1.92. The higher the capability value, the higher the sigma level. This study also has increased the sigma level from 2.76 to 3.42, meaning an increase of 78%.

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Evaluation of Crude Enzyme Addition Based Muscovy Duck Feed on Reproduction Perfomance
Authors: Prasetya Putra Ghalib Abrar , Rachmawati Achadiah , Djunaidi Irfan H.
Published: January 2024

The purpose was to evaluate the reproductive perfomance of muscovy duck by using crude enzymes as additive in basal feed. The research material’s 32 muscovy duck, 4 males, 28 females, aged 5 months and normal body weight of males muscovy duck 3,5 – 4 kg and females 2 – 2,5 kg. The feed material used was basal feed with the addition crude enzymes in each treatment. The cage equipment used were feed, water cup, hatching machine and scales. The research was conducted for 40 days with experimental methods and Cross Over Design (Switching Design) observation period of four times, seven days with treatment, three days of break and start again next period.  The addition of crude enzymes in muscovy duck feed can improve reproductive perfomance. The results showed that the use of 0.2% crude enzymes (T2) in basal feed can increase the hatching weight of day old duck and dod survival without mortality. The other results, increased hatchability occurred in the basal feed containing 0.1% crude enzymes (T1), compared to the control feed without the addition of crude enzymes. This means that using of 0.2% crude enzymes in feed as an additive increased hatching weight, dod survival and muscovy duck hatchability.
Sera Gazı Emisyonu Azaltımı için Karbonun Fiyatlanması: Karbon Vergisi mi Emisyon Ticareti mi?
Authors: KARAKAYA Etem , AKKOYUN Gamze , HİÇYILMAZ Burcu
Published: January 2024

Sanayi devriminden bu zamana atmosfere salınan sera gazı emisyonlarının, negatif dışsallık yaratarak toplumsal refaha zarar verdiği ve en büyük piyasa başarısızlıklarından biri olan iklim değişikliğine yol açtığı görülmektedir. Çeşitli ekonomik araçlar kullanılarak kamu müdahalesi sayesinde emisyonlar azaltılabilir. Karbon emisyonunu maliyetli kılarak dışsal maliyetlerin içselleştirilmesini sağlayan karbon fiyatlandırılması bu araçlardan bir tanesidir. Emisyon salımını maliyetli kılan bu araç, üreticileri, tüketicileri ve hükümetleri düşük karbon içerikli alternatif arayışlara teşvik ederken, aynı zamanda enerji verimliliği ve malzeme verimliliği çabalarını da artırır. Fiyatlandırma, karbon vergisi veya emisyon ticareti ile uygulanabilir. Ancak iki uygulamanın, pratikte farklı sonuçları ortaya çıkabilir. Bu çalışmanın birinci amacı iki temel karbon fiyatlandırma aracı olan karbon vergisi ve emisyon ticaret sistemini ve bunların etkilerini karşılaştırmalı olarak ortaya koymaktır. İkinci amacı ise, emisyon azaltımında kullanılan diğer araçlarla karşılaştırılmasıdır. Geniş bir literatür taraması neticesinde elde edilen sonuçlar, uygulanan ekonomik aracın tasarımı, piyasa koşulları ve ülkenin ekonomik yapısına göre farklı sonuçların ortaya çıkabildiğini göstermektedir.
An analysis of high school mathematics curriculum organization and operation: Focusing on elective subjects in CSAT math section
Authors:   The Korean School Mathematics Society, Lee Se Hyung , Yang Seong Hyun , Moon Du Yeol
Published: January 2024

The high school credit system, in which students select and complete subjects according to their career and aptitude based on basic knowledge and academic ability, is set to be fully introduced in 2025. In general high schools, the CSAT is the factor that has the greatest influence on the organization of unit school curriculum along with the high school credit system. Therefore, for the smooth landing of the high school credit system, it is necessary to analyze the influence of these factors on the organization and operation of the school curriculum. In this study, the current status of curriculum organization in 213 schools belonging to the Seoul Metropolitan Office of Education was investigated and the current status of curriculum organization was analyzed, focusing on the relationship with the selection tendency of optional subjects in CSAT math section. As a result of the analysis, the ratio of elective subjects in CSAT math section was highly related to the organization of class hours in the unit school curriculum. Additionally, it was confirmed that there was a higher correlation with ‘the number of opportunity units’ that students could actually choose than ‘the number of units organized’ for each subject of the unit school curriculum. The results of this study will serve as basic data for the implementation of the high school credit system according to the 2022 revised curriculum, while providing implications for the organization of elective subjects in the high school mathematics curriculum.
A bibliometric analysis of publications on ChatGPT in education: Research patterns and topics
Authors: Zheltukhina Marina R. , Sergeeva Olga V. , Masalimova Alfiya R. , Budkevich Roza L. , Kosarenko Nikolay N. , Nesterov Georgy V.
Published: January 2024

This paper aims to conduct a bibliometric analysis and a comprehensive overview of publications on ChatGPT in educational research. This research also aimed to present the bibliometric results to interpret the research patterns and themes of the application of ChatGPT in educational research. The researchers used the VOSviewer program to conduct a bibliometric analysis and identify research patterns and topics in publications indexed in the Scopus database. For this purpose, the researchers used the Scopus database to find related publications. After applying inclusion and exclusion criteria, they found 82 publications and analyzed them using the bibliometric method. This study showed that researchers from 42 countries examined various topics, including academic writing, artificial intelligence’s (AI) potential, and benefits, using ChatGPT in research, exploring best practices, and reviewing AI. The keyword analysis results showed that five clusters emerged from the current studies on ChatGPT in education research. These results showed that researchers focused on understanding the use of ChatGPT in medical and nursing education, generative AI’s ethical dimensions, the effects of ChatGPT on educational outcomes, large language models and medical education, and ChatGPT and AI. In general, the use of ChatGPT in educational contexts and research is frequently discussed in the publications analyzed in this study. In addition, medical and nursing education was the most studied of the many research studies. Based on the obtained results, recommendations for further studies are drawn.
Antibacterial Ingredients That Cause Diarrhea Can Be Made from Black, Green, and White Tea Extract (Camellia sinensis L.)
Authors: Hasan Akhmad Endang Zainal , Andrianto Dimas , Rohdiana Dadan , Julistiono Heddy , Adriyan Muhamad Alvin
Published: January 2024

One cause of diarrhea is a bacterial infection. Tea (Camellia sinensis) is a steeping drink that has the efficacy of treating diarrhea. This looks at goals to decide the effect of formulations of three tea extracts that act as antibacterial causes of diarrhea and decide the most appropriate maceration temperature. Extraction was carried out with water solvents at temperatures 70oC, 100oC, and 121oC. The disc method conducted an antibacterial test against E. coli and S. aureus. The most optimal temperature for producing the highest inhibitory zone is the temperature of 100oC. Tea extract temperatures of 100oC are used for antibacterial testing. BSLT test showed the LC50 value of 1800 µg/mL. Tests on E. coli bacteria showed the highest results in a single white tea extract with a diameter of 9.750 mm, and tests on S. aureus showed the highest results in the three tea extract formula with a diameter of 9.65 mm. The inhibitory area evaluation of the system changed into finished using the simplex-centroid design method. It showed a non-huge linear model in the antibacterial test in opposition to E. coli and S. aureus.
The Impact of Modern Coconut Oil Packaging Training on Consumers’ Behaviors
Authors: Gibai Gideon Maige , Banele Shima Dawson
Published: January 2024

The local coconut oil producers at Kisutu Market, Dar es Salaam faced difficulties in deploying the modern packaging components due to knowledge and skills gaps henceforth low market value was experienced greenlighted the training for awareness creation. Assessment on impact of the training on the changes of the producers’ practices and its significances to the consumers were made by engaging 112 respondents categorically distributed into 102 coconut oil consumers and 10 producers. Data were collected using four ranked Likert scale questionnaire and semi-structure interview followed by the descriptive analysis. The findings proved that the training assisted the local coconut producers to utilize modern packaging henceforth impacted the consumers behaviours; enhanced communication; improved market experiences; fostered branding initiatives; assurance to the product quality and quantity; competition differentiation; attracting the shelves and easier pointing the coconut oil during purchasing under pressure; increased competitiveness of the coconut oil choices in supply chain. Moreover, the contributions are made to the literature of coconut oil, local producers and consumers and practitioners to continue to invest in awareness creation through trainings, accommodation of new knowledge and skills pertained the deployment of innovative packaging that positively turn the image of coconut oil product for valuable market and sustainability.
“А Supervisory Type of Thing”: the Establishment and Impact of the Latter-Day Saint Mission in Postcolonial Southeastern Nigeria
Authors: Hurlbut David Dmitri
Published: January 2024

This article analyzes the challenges that confronted the Church of Jesus Christ of Latter-day Saints (LDS Church) in establishing its official mission in southeastern Nigeria following the 1978 Priesthood Revelation, and the impact of its mission strategy on the religious and daily life of Nigerian adherents. The emergence of unofficial LDS congregations in Nigeria between the late 1940s and 1970s required the LDS Church to abandon its traditional mission focus on proselytization, and instead develop a strategy of supervision–a strategy geared towards appointing and training local church leaders, teaching adherents to be proper Latter-day Saints, and integrating congregations in the administrative hierarchy. Using documentary records and oral histories archived at the LDS Church History Library and L. Tom Perry Special Collections, this article highlights the reciprocal impact of cross-cultural encounters and the shortcomings of the LDS Church’s missionary training programs.
Julius Nyerere, Comprehension of Slavery, and Nation Building: Some Notes on Popular Consciousness in Modern Tanzania
Authors:   Institute for African Studies RAS, Banshchikova Anastasia
Published: January 2024

This article examines the image of Julius Nyerere, the first president of independent Tanzania, among present-day citizens. Spotting of both the presence and persistence of his image in popular consciousness became an unexpected result of unrelated field research on the historical memory of 19th century slave trade and its influence on interethnic relations in the country. The study did not include any questions about Julius Nyerere, colonialism, or Tanzania’s independence. However, many respondents on their own will start talking about Nyerere’s role in connection with the abolition of the slave trade (sic), about his contribution to building a peaceful nation without ethnic tensions, the spread of the Swahili language, and education. The variety of answers shows that almost any positive shift in the development of Tanganyika and Tanzania can be attributed to him in popular consciousness. This demonstrates the continuing importance of Nyerere’s image and legacy for ordinary Tanzanians.
Indian-African Cooperation in Science and Technologies
Authors:   Institute for African Studies RAS, Konstantinova Olga
Published: January 2024

At the present time, when technology “rules the world”, it is important for Africa to master scientific and technological progress, to make a “leap” in the development of science and technology, which will contribute to economic recovery, employment growth, and income growth. The article summarizes and analyzes information about the places that India and African countries hold in the global ranking of innovative economies. India, as one of the leaders in the export of information and communication technology services, possessing advanced science and technology clusters, ranked 40th, according to the Global Innovation Index (GII) for 2022. Of the African countries, only Mauritius (45th place) made it into the top 50, while the top 100 also included South Africa, Morocco, Tunisia, Botswana, Kenya, Egypt, Ghana, Namibia, Senegal. According to the World Bank, research and development spending (% of GDP) in Africa varies greatly. For the period from 2015 to 2020, the minimum value of this indicator was noted in Mauritania 0.01%, and the maximum in Egypt – 0.96%. At the same time, Rwanda, Tunisia, South Africa, and Mauritius demonstrate the highest values among African countries, along with Egypt. In terms of the number of articles in scientific and technical journals, China and the USA lead the world, followed by India. Among African countries, the leaders are Egypt, South Africa, Nigeria. As a result of the study, the author comes to the conclusion that India has made a significant contribution to cooperation with African countries in the field of scientific and technological progress. Since 1964, the Indian Technical and Economic Cooperation Program has been operating, a program for providing developing countries with technical assistance and assistance in training specialists. In 2009, the Pan-African E-Network Project was launched to bridge the digital divide in Africa. India has established IT centers in South Africa, Egypt, Morocco, Lesotho, Ghana, Namibia and Tanzania; CGARD Technology Center in Madagascar; vocational training centers in Ethiopia, Rwanda, Burundi, Burkina Faso, Gambia, Zimbabwe and Egypt. Thus, India and Africa are cooperating in the field of education, science, medicine, digital technologies, agriculture, development of alternative energy sources. At the same time, it is necessary to more actively expand cooperation between India and Africa in the field of innovation and technology, which will undoubtedly be beneficial for both parties and serve the interests of the Indian and African peoples.
At the Roots of Neocolonialism: Forced Labor of the Indentured Chinese Miners in the British Transvaal
Authors:   Institute for African Studies RAS, Fituni Olga
Published: January 2024

The paper deals with the historical use of the Chinese indentured laborers on the gold mines of the Transvaal shortly after the end of the Second Boer war. In the short span of four years some 60 thousand Chinese laborers were imported under 3-year contracts, and then repatriated, after having contributed greatly to the restoration and expansion of the Rand gold mines. By analyzing the legal framework of the process and documented witnesses’ accounts of the “Chinese slavery” in the Transvaal, the author comes to the conclusion that the colonial administration of the Transvaal was ignoring the conventions agreed upon by the British and Chinese side, while the Chinese side did not possess the actual means to enforce the agreements. In the author’s opinion, this can be viewed as the roots of the West’s neocolonial approach to the international relations.
Analysis of Response Styles for Disaster Safety Perceived by Adolescents During COVID-19: Application of an Item Response Tree Model
Authors:   Korean Society for Educational Evaluation, Park Chanho , Kim Sung Eun
Published: January 2024

The purpose of this study was to analyze the survey data on the perception of disaster safety by adolescents during the COVID-19 period, using the data from the 2020 Korean Children and Youth Panel Survey (KCYPS). As a large social disaster, COVID-19 could affect the adolescents' responses in addition to their perceptions of disasters. Therefore, we applied the item response tree model to analyze the response patterns. The results showed that adolescents generally felt safe from disasters such as COVID-19, but their perceptions of disaster safety differed between safety of individuals and that of society. In addition, it was confirmed that there were negative extreme response styles and positive extreme response styles, which represent excessive anxiety and excessive indifference to disasters, respectively. Moreover, the adolescents' perceptions of disaster safety were related to life satisfaction, happiness, and the degree of knowledge of disaster response measures. We also proposed the utilization and follow-up studies of the research results.
Exploration of self-regulated learning transition patterns in the elementary to middle school transition and their predictors by latent transition analysis and machine learning: A comparison of machine learning algorithms
Authors:   Korean Society for Educational Evaluation, Shin Eunjin , Sohn Wonsook
Published: January 2024

The purpose of this study is to examine the transition patterns of self-regulated learning (SRL) profiles among students transitioning from elementary to middle school and to identify factors influencing these changes. To do this, the「Korea Education Longitudinal Study 2013」data was utilized. Latent transition analysis and six machine learning algorithms (Random Forest, Decision Tree, Support Vector Machine, Logistic Regression, K-Nearest Neighbors, and Artificial Neural Network) were approached for analysis. As results, first, the SRL profiles of elementary to middle school transition students were categorized into three levels: high, medium, and low. Second, Random Forest(RF) demonstrated the highest performance in classifying the transition groups of SRL patterns. Third, examining RF analysis to investigate factors influencing the transition of SRL profiles, academic achievement emerged as the most significant predictor, followed by academic self-concept, self-management, creativity, and comprehension of class materials, among others. Finally, based on the study’s results, educational implications for fostering positive development of students’ SRL were suggested.
The Effect of Participation in Private Education on Math Affective Attitudes: Measurement Invariance and Differential Item Functioning in Latent Class MIMIC Model
Authors:   Korean Society for Educational Evaluation, Song Hyo Seob , Kim Hyun Chul , Jung Hee Sun
Published: January 2024

This study examined the direct effect of math private education participation on the indicators of math affective attitudes, and analyzed the effect of private education participation on the latent class membership of math affective attitudes. To this end, the survey data of first-year middle school students in the 2015 Gyeonggi Education Panel Study(GEPS) were applied to the latent class MIMIC model. As a result, heterogeneous latent classes for math affective attitudes were detected, and uniform and non-uniform differential item functioning were detected depending on whether math private education participated. In addition, the significant impact of participation in math private education on latent class membership was confirmed. This study confirmed the necessity of measurement invariance by analyzing the effect of math private education on individual items of math affective attitudes, and verified the effect of participation in private education on the latent class of math affective attitudes, it presents meaningful implications for math education in the school field.
The development study of an automated scoring program for Korean essays, PASTA-I
Authors:   Korean Society for Educational Evaluation, Lee Yongsang , Choi Yoonsek , Lee Seunghyun
Published: January 2024

In this study, we developed PASTA-I, an automated scoring program for Korean essays, to solve the problems of scoring burden and objectivity and consistency of scoring. PASTA-I builds a scoring model based on data on three topics from the ‘Essay Writing Evaluation Data’ released by the National Information society Agency(NIA) The scoring was done with 3 points scale across 10 scoring areas, and accordingly, the automated scoring model was implemented in this study so that scoring was done for each of the 10 scoring areas. The algorithm used to implement the scoring model was electra-kor-base, which was trained on Korean data based on the ELECTRA model, and the performance of the automated scoring model was verified using testing data set on three topics, including ‘The biography’, ‘Movie/reading review,’ and ‘My personality strengths and weaknesses,’ and the results showed an accuracy of .7 or higher in almost all areas.
The Analysis of Latent Profile Transition Patterns and Influencing Factors of Adolescence’s School Adjustment
Authors:   Korean Society for Educational Evaluation, Jang Eunah , Chung Hyewon
Published: January 2024

The purpose of this study is to identify the latent profile classification of adolescents’ school adjustment and the transition patterns of latent profiles after school-level transitions, to explore the variables that affect them. To do this, we applied latent transition analysis with 3-step approach to Korean Education Longitudinal Study 2013 data from the 3th and 6th wave (7th and 10th grades). The main results are as follows. First, four latent profiles commonly appeared across the 7th grades and the 10th grades: ‘average-level adjustment group’, ‘high-observance of rules average-level adjustment group’, ‘high-level adjustment group’, and ‘low-level adjustment group’. Second, as a result of examining the transition patterns of latent profiles for school adjustment, the overall rate of maintaining the same group was the highest. Third, the higher academic self-concept, social self-concept, self-management, parent-child interaction, interactive teaching methods, teachers’ enthusiasm and achievement pressure, the higher the probability of belonging to a latent profile with relatively higher mean of school adjustment in the 7th grades. Fourth, the higher individualized teaching methods, interactive teaching methods, teachers’ enthusiasm and achievement pressure, the higher the probability of belonging to a latent profile with relatively higher mean of school adjustment in the 10th grades. Fifth, academic self-concept and self-management had statistically significant effects on the transition of latent profiles. Based on the findings, implications for improving adolescents’ school adjustment were discussed.
Diagnosis on the Delta Method for Estimating Standard Errors of IRT Equating Under the Random Groups Design
Authors:   Korean Society for Educational Evaluation, Kim Seonghoon , Lee Yumi
Published: January 2024

In the academic achievement and ability testing programs, item response theory (IRT) methods have been widely used for test equating. The standard error (SE) of equating indicates the amount of random error that is due to the sampling of examinees in estimating the population equivalent scores relationship. The purpose of the present study was to use computer simulations to examine the accuracy and performance of the delta method formulas for estimating SEs of IRT true score and observed score equating that have been presented under the random groups design. Test type (3PL model test, 3PL+GPC model test, and 3PL+GR model test) and sample size were considered as simulation factors. Main results were as follows. First, for all the test types, the theoretical SEs of IRT equating estimated by the delta method were very close to the empirical SEs computed using the simulated equated scores. Second, the SEs of IRT equating were reduced as the sample size increased, and they were, approximately, inversely proportional to the square root of the sample size. Third, except for the extreme (lowest or highest) test scores, the SEs of IRT observed score equating tended to be slightly smaller than the SEs of IRT true score equating. Fourth, on the average, the SEs of IRT equating for the 3PL model test, which consisted of 30 multiple-choice items, were smaller than those for the mixed-format tests, which consisted of the same 30 multiple-choice items and 10 constructed-response items.
Supplier Selection in the Age of Industry 4.0: A Review on MCDM Applications and Trends
Authors:   Department of Mechanical Engineering, Indira Gandhi Institute of Technology, Sarang (BPUT), Odisha, India, Sahoo Sushil Kumar , Goswami Shankha Shubhra ,   Department of Mechanical Engineering, Abacus Institute of Engineering and Management, Hooghly, West Bengal, Halder Rohit ,   Department of Mechanical Engineering, Abacus Institute of Engineering and Management, Hooghly, West Bengal
Published: January 2024

The advent of Industry 4.0 has triggered a profound transformation in manufacturing and supply chain management, necessitating the adaptation of supplier selection processes to this evolving technological landscape. This comprehensive review paper places a significant focus on the role of multi-criteria decision-making (MCDM) methodologies and emerging trends in the context of supplier selection within Industry 4.0. It underscores the critical importance of effective supplier selection in achieving operational excellence and bolstering supply chain resilience in this new era, exploring the challenges and opportunities presented by technological advances such as the Internet of Things, big data analytics, artificial intelligence, and advanced manufacturing techniques. The paper looks into the theoretical underpinnings of MCDM techniques, highlighting their suitability for addressing the complex, multi-dimensional criteria associated with supplier selection. As a valuable resource, this study caters to researchers, practitioners, and decision-makers navigating the intricate landscape of supplier selection within the dynamic area of Industry 4.0, emphasizing the pivotal role of MCDM methodologies and the ever-evolving dynamics shaping supplier selection processes in the digital age.
From Ambiguity to Clarity: Unraveling the Power of Similarity Measures in Multi-Polar Interval-Valued Intuitionistic Fuzzy Soft Sets
Authors:   Departments of Mathematics, Faculty of Science, King Mongkut’s University of Technology Thonburi (KMUTT), Bangkok 10140, Thailand, Saqlain Muhammad , Saeed Muhammad ,   Department of Mathematics, University of Management and Technology, 54000 Lahore, Pakistan
Published: January 2024

The utilization of similarity measures in the context of multi-polar interval-valued intuitionistic fuzzy soft sets (mPIVIFSS) is a significant theoretical approach that offers a valuable structure for tackling intricate situations that are characterized by imprecise information and uncertainty. Nevertheless, these issues frequently entail conditions that are not limited in scope and exhibit a considerable level of uncertainty in scenarios involving multiple dimensions, hence presenting substantial difficulties. The objective of this research study is to provide a comprehensive understanding of similarity measures in the context of mPIVIFSS. Additionally, we will examine several operations, such as complement, subset, union, intersection, AND, OR, and De-Morgan’s Laws, as they relate to mPIVIFSS. This study not only includes theoretical debates but also explores practical applications. These efforts contribute to the improvement of decision-making, pattern recognition, and data analysis in settings characterized by ambiguous and uncertain information, hence emphasizing the importance of similarity measures in efficiently addressing multi-dimensional problems.
Optimizing Priority Sequencing Rules in Parallel Machine Scheduling: An Evaluation and Selection Approach using Hybrid MCDM Techniques
Authors:   Libyan Academy, Misrata, Libya, Badi Ibrahim , Bouraima Mouhamed Bayane ,   School of Civil Engineering, Southwest Jiao Tong University, Chengdu, Sichuan Province, China, Qiu Yanjun ,   School of Civil Engineering, Southwest Jiao Tong University, Chengdu, Sichuan Province, China, Stević Željko ,   University of East Sarajevo, Faculty of Transport and Traffic Engineering, Doboj, Bosnia and Herzegovina
Published: January 2024

Priority sequencing criteria are of utmost importance in the determination of the sequence in which jobs are processed at workstations in parallel machine scheduling. The utilization of diverse priority rules can result in varied sequencing arrangements, hence requiring more experimentation to ascertain the optimal rule. Hence, it is imperative to formulate a thorough approach for the selection of the most suitable priority sequencing rule from the standpoint of management decision-making. The objective of this research is to analyze and compare six different priority sequencing rules in the context of parallel machine scheduling. Additionally, a methodology is proposed for the assessment and selection of the most suitable rule. This methodology combines the full consistency method (FUCOM) with the measurement of alternatives and ranking according to compromise solution (MARCOS) method, which are both multi-criteria decision-making techniques. When reviewing and selecting the optimal priority sequencing rule, seven parameters are taken into consideration. The weights of these criteria are computed using the FUCOM method, while the relative proximity values of all priority sequencing rules are derived by the MARCOS method. The data indicate that the priority sequencing rules are prioritized according to their level of importance. The approach outlined in this study is essential for workstation management to make well-informed decisions regarding the choice of the most advantageous priority sequencing rule for parallel machine scheduling.
versão 2 -Manuscrito -Abralin 2023
Authors: Cardozo Jacimara Ribeiro Merizio
Published: January 2024

Trata-se de um pequeno recorte de uma pesquisa de tese de doutorado que investiga o imaginário de sucesso nos discursos de pandemia do governador do estado do Espírito Santo, Renato Casagrande. Do total do corpus formado por 91 vídeos publicados no período de março de 2020 a abril de 2022, alguns trechos com veículos metafóricos de guerra e caminho foram destacados para esta análise, neste artigo. O objetivo foi de observar a construção do imaginário de sucesso da gestão da pandemia no estado como estratégia cognitivo-discursiva para tentar promover a adesão da população para uma ação direcionada pelo governo. A análise fundamenta-se na Teoria da metáfora conceptual de Lakoff e Johnson (1908), na metáfora no discurso político de Semino (2008), Chilton (2004), Musolff (2016), Charteris-Black (2004, 2005, 2021), nos imaginários sociais e ethos político de Charaudeau (2006) e Maia (2015) e MCI de sucesso e discursos de sucesso, respectivamente, de Mattos (2023) e Soares (2015). Como principais resultados destacam-se as inferências das metáforas situadas Vacinação é esforço final da viagem e Espírito Santo é tropa de vanguarda.
PENGUKURAN KEKERASAN DENGAN METODE JOMINY TEST PADA BAJA ST 42
Authors: Cahyono Yogie Dwi
Published: January 2024

Dari data ini Baja adalah paduan logam yang pada dasarnya dibentuk olehbesi dan karbon, dengan kandungan karbon bervariasi antara 0,008 dan 2.11%.Hal ini dibedakan dari besi tuang, yang juga merupakan paduan besi dan karbon,tetapi dengan kandungan karbon berkisar antara 2,11% dan 6,67%. Perbedaanmendasar antara keduanya adalah bahwa baja, karena keuletannya, mudah cacatdengan penempaan, penggulungan dan ekstrusi, sementara sepotong besi cordiproduksi dengan proses pengecoran. Pada tahap perkembangan masyarakat saatini,itu adalah mustahil membayangkan dunia tanpa menggunakan baja. Produksibaja merupakan indikator kuat dari suatu negara tahap pembangunan ekonomi.
Semi-Automated and Manual Measurement of Respiratory-Swallow Coordination: A Standard Operating Procedure
Authors: Curtis James Arthur , Borders James C
Published: January 2024

This standard operating procedure (SOP) is a detailed guide for the technical analysis of respiratory-swallow coordination (RSC) data signals. Its purpose is to serve as a reference for research standardization and transparency with this methodology, and as a framework for future research studies. As the field of RSC continues to grow, this SOP is expected to change over time. This SOP will be divided into three sections. The first section will describe the types of outcome measures that might be obtained for RSC analysis. The second section will serve as a general introduction to RSC analysis by describing the types of signals, their operational definitions, and technical analysis. The third section will provide a step-by-step guide for analyzing swallows with either a manual approach with LabChart software or a semi-automated approach with the R programming language.
Outnumbered Online: The Consequences of Partisan Imbalance in Online Political Discussions
Authors: Allamong Maxwell , Trexler Andrew , Alqabandi Fatima , LaChapelle Tina , Bail Christopher A. , Hillygus D. Sunshine , Volfovsky Alexander
Published: January 2024

Much research on online political discussions has focused on social media "echo chambers" of like-minded individuals, but less is known about how people respond to online environments dominated by those who are politically dissimilar. We conduct a preregistered experiment using a mobile application that we developed to evaluate how being outnumbered by out-partisans impacts comfort with sharing opinions as well as perceptions of the platform and its users. Our app mimics a social media platform but provides researcher control over platform features to experimentally isolate their effects and employs synthetic users powered by generative artificial intelligence to create a dynamic content feed for the participant. We find that engaging in a online discussion with mostly out-partisans reduces comfort with sharing one's opinions and lowers evaluations of the platform and its users. These findings shed light on a relatively less explored online setting (i.e., an outnumbered context) and highlight the utility of LLMs in social science research.
Generating complex explanations for artificial intelligence models: an application to clinical data on severe mental illness
Authors: banerjee soumya
Published: January 2024

We present an explainable artificial intelligence methodology for predicting mortality in patients. Wecombine clinical data from an electronic patient healthcare record system with factors relevant for severemental illness and then apply machine learning.The machine learning model is used to predict mortality in patients with severe mental illness. Our methodology uses class-contrastive reasoning. We show how machine learning scientists can use class-contrastive reasoning to generate complex explanations that explain machine model predictions and the data. An example of a complex class-contrastive explanation is the following: “ The patient is predicted to have a low probability of death because the patient has self-harmed before, and was at some point onmedications such as first-generation and second-generation antipsychotics. There are 11 other patients with these characteristics. If the patient did not have these characteristics, the prediction would be different. ” This can be used to generate new hypotheses which can be tested in follow-up studies.Our technique can be employed to create intricate explanations from healthcare data and possibly other areas where explainability is important. We hope this will be a step towards explainable AI in personalized medicine.
Using survey experiment pretesting to support future pandemic response
Authors: Tappin Ben M , Hewitt Luke
Published: January 2024

The world could witness another pandemic on the scale of COVID-19 in the future, prompting calls for research into how social and behavioral science can better contribute to pandemic response, especially regarding public engagement and communication. Here, we conduct a cost-effectiveness analysis of a familiar tool from social and behavioral science that could potentially increase the impact of public communication: survey experiments. Specifically, we analyze whether a public health campaign that pays for a survey experiment to pretest and choose between different messages for its public outreach has greater impact in expectation than an otherwise-identical campaign that does not. The main results of our analysis are 3-fold. First, we show that the benefit of such pretesting depends heavily on the values of several key parameters. Second, via simulations and an evidence review, we find that a campaign that allocates some of its budget to pretesting could plausibly increase its expected impact; that is, we estimate that pretesting is cost-effective. Third, we find pretesting has potentially powerful returns to scale; for well-resourced campaigns, we estimate pretesting is robustly cost-effective, a finding that emphasizes the benefit of public health campaigns sharing resources and findings. Our results suggest survey experiment pretesting could cost-effectively increase the impact of public health campaigns in a pandemic, have implications for practice, and establish a research agenda to advance knowledge in this space.
Task-irrelevant inputs alter ensemble representations of faces within the spatial focus of attention
Authors: Störmer Viola S. , Sayed Kevin
Published: January 2024

Spatial attention enhances processing of information, but how does unattended and task-irrelevant information influence visual representations within the spatial focus of attention? We tested this by asking participants to extract the average emotional expression of a set of sequentially presented faces while simultaneously presenting task-irrelevant faces at a spatially unattended and task-irrelevant location. Across several experiments we found that participants’ reports of the emotional expression of faces at the attended location were biased towards the task-irrelevant faces. For example, when happier faces were presented at the unattended location, participants were biased to perceive the attended faces as happier. A control experiment in which participants were asked to also detect probes at cued and uncued locations showed that spatial attention was directed toward the cued location as instructed. Together, these results reveal that unattended and task-irrelevant inputs do not only affect the efficiency of target processing, for example by slowing responses or lowering accuracies, but that they can systematically bias ensemble representations within the spatial focus of attention.