This integrative review examined 38 published articles on the topic of formative assessment conducted in South Korean EFL settings, from 2014 to 2023. Despite strong interests in using quality formative assessments that are aimed at improving English learners’ performance, no prior systematic analyses have been performed to date. To that end, this study draws on Wiliam and Thompson’s (2008) conception of the formative assessment five-strategy model, and Yan and Pastore’s (2022) Teacher Formative Assessment Practice Scale (TFAPS), as a guiding framework to examine the extent to which formative assessment research conducted in South Korean EFL classroom settings has enacted the five key strategies and thereby promoted learning and improved teaching. For all five key strategies, more studies showcased weak evidence of implementing each strategy, and that positive student learning was more likely to be seen in studies that fully, or nearly fully, implemented the key strategies. Recommendations for enhancing formative assessment teaching and research practice are provided at the end.

The semi-direct speaking test format has limitations, particularly due to its lack of situational authenticity and contextualized input. To address this issue, virtual reality (VR) can be integrated into speaking proficiency tests to enhance authenticity. In this study, a newly designed VR speaking test was administered, and test-takers’ performances were compared with those on a conventional computer-delivered speaking test. Additionally, test-takers’ perceptions of the VR-based speaking test were examined through a post-test questionnaire. The results revealed a statistically significant difference in mean scores between the two test formats, indicating that the VR-based test enhanced test-takers’ speaking performance. More specifically, a one-way MANOVA showed that test-takers performed better on nearly all scoring criteria in the VR mode compared to the computer-delivered mode, except for completion and fluency. Furthermore, the 32 test-takers who participated in the VR test highlighted the highly contextualized settings and immersive experience as the most distinctive and positive aspects of using VR in speaking assessments.

본 논문은 초국가적 종교 인식론적 공동체의 관점에서 탈동성애 운동 의 세계정치적 양상을 분석한다. 일반적으로 탈동성애 운동은 동성애 정 체성을 벗어났다고 주장하는 개인들에 의해 주도되는 지역적·문화적 현 상으로 여겨지지만, 실제로는 서구권의 보수적 복음주의 세력이 주도하 는 조직화된 국제 네트워크임을 확인할 수 있다. 이러한 네트워크는 특 정 분야의 정책 형성에 영향을 미치는 지식과 권위를 공유하는 전문가 집단, 즉 인식론적 공동체로서 기능한다. 특히 탈동성애 운동의 종교 보 수 활동가들은 자신을 인간의 성(性)에 관한 전문가로 규정하고, 과학적 외형을 갖춘 증거, 헌법적·권리 기반의 논리, 개인의 간증 등 다양한 전 략을 활용하여 동성애가 변화 가능하며 바람직하지 않은 것이라고 주장 한다. 본 연구는 한국을 주요 사례로 삼아, 한국의 보수적 복음주의 엘리 트들이 서구(특히 미국)의 복음주의자들로부터 탈동성애 담론과 전략을 체계적으로 수입하고 현지화한 방식을 경험적으로 분석한다. 구체적으로, 한국의 활동가들이 초국적으로 유통되는 진정성, 피해자성, 인권과 같은 자유민주주의적 레토릭을 전략적으로 차용하여, 자신들의 LGBTQ+ 인권 반대 활동을 종교의 자유 및 주체적인 삶의 경험(lived experiences)의 정당한 표현으로 재구성하고 있음을 보여준다.

This research, grounded in the extended technology acceptance model, aimed to explore the relationships among factors influencing Korean EFL learners’ acceptance of ChatGPT for English learning in a voluntary usage context. To this end, a questionnaire was distributed to college students who had used ChatGPT for language learning, utilizing a convenience sampling method. A total of 400 responses were analyzed to test hypotheses using structural equation modeling (SEM). Findings revealed that learners’ perceived usefulness significantly predicted their intention to continue using ChatGPT, while perceived ease of use did not. Moreover, learners’ result demonstrability was found to be a predictor of perceived usefulness, whereas subjective norm was not. Both playfulness and output quality significantly influenced learners’ perceived ease of use. This study identified key factors that could enhance EFL learners’ acceptance of ChatGPT by improving perceptions of usefulness and ease of use, offering valuable insights for integrating ChatGPT into English education.

This study investigates the effectiveness of self-correction in improving lexical stress placement among Korean English learners, a critical yet challenging feature for speakers of Korean, which lacks lexical stress contrasts. Grounded in Schmidt’s (1990) Noticing Hypothesis, the research compares the benefits of self-correction— where learners reflect on and correct their own pronunciation errors —with the shadowing technique. Forty-seven college students participated, with an experimental group practicing self-correction and a control group engaged in shadowing. Pre- and post-test analyses revealed that the self-correction group demonstrated significantly greater improvement, particularly with trisyllabic and tetrasyllabic words, while the shadowing group showed minimal change. These findings highlight self-correction’s role in promoting learner engagement, error awareness, and deeper cognitive processing, offering practical implications for pronunciation instruction that emphasizes learner autonomy and focused attention.

The electronic structures of graphene nanoflakes (GNFs) were estimated for various shapes, sizes, symmetries, and edge configurations. The Hückel molecular orbital (HMO) method was employed as a convenient way of handling the variety of possible GNF structures, since its simplicity allows the rapid solution of large system problems, such as tailoring optoelectronic characteristics of molecule containing large number of carbon atoms. The HMO method yielded the electronic structures with respect to the energy state eigenvalues, with results comparable to those obtained by other approaches, such as the tightbinding method reported elsewhere. The analyses included the consideration of various types of edge configurations of 68 GNF systems grouped by their geometric shape, reflecting symmetry. It was inferred that GNFs in the small length scale regimes, below 1 nm, which are effectively small polycyclic aromatic hydrocarbon molecules, exhibit the optoelectronic characteristic of quantum dots. This is due to the widely spaced discrete energy states, together with large energy gaps between the highest occupied molecular orbital (HOMO) and the lowest unoccupied molecular orbital (LUMO). With increasing size this arrangement evolves into graphene-like ones, as revealed by the narrowing HOMO-LUMO gaps and decreasing energy differences between eigenstates. However, the changes in electronic structure are affected by the symmetries, which are related to the geometric shapes and edge configurations.

This study proposes a mathematical model to optimize the fighter aircraft-weapon combinations for the ROKAF(Republic Of Korea Air Force). With the recent emergence of the population declining issue in Republic of Korea, there is an urgent need for efficient weapon system operations in light of decreasing military personnel. In order to solve these issues, we consider to reduce the workload of pilots and maintenance personnel by operating an optimal number of weapons instead of deploying all possible armaments for each aircraft type. To achieve this, various factors for optimizing the fighter-weapon combinations were identified and quantified. A model was then constructed using goal programming, with the objective functions based on the compatibility, CEP(Circular Error Probable), and fire range of the weapons, along with the planned wartime mission-specific weapon ratios for each aircraft type. The experimental result's analysis of the proposed model indicate a significant increase in mission performance efficiency compared to the existing system in both operational and maintenance aspects. We hope that our model will be reflected to help improve the operational capabilities of Republic of Korea Air Force.

The study explores the relationship among teacher identity, teacher transparency, teacher self-efficacy, and teachers’ adaptation to digital change. Eighty-four English teachers participated in the study. For comparison between English and other subject teachers, 38 survey results of different subject teachers were included in the analysis. The results showed that English teachers’ scores were lower across all the constructs in terms of both transparency and self-efficacy compared to the scores of teachers in other subjects. For further analysis, the Structural Equation Modeling was run, and the results revealed that teacher transparency influences teacher self-efficacy, facilitating digital adaptation. Instructional Transparency and Peer Transparency were significant predictors of selfefficacy, directly influencing digital adaptation. This result illustrates the dynamic interplay between evolving teacher identity and self-efficacy in relation to digital adaptation through the relationship between teacher transparency and teacher selfefficacy. The findings indicate the need for targeted programs to enhance English teachers’ transparency and self-efficacy as a pathway to their digital adaptation.

This study proposes a weight optimization technique based on Mixture Design of Experiments (MD) to overcome the limitations of traditional ensemble learning and achieve optimal predictive performance with minimal experimentation. Traditional ensemble learning combines the predictions of multiple base models through a meta-model to generate a final prediction but has limitations in systematically optimizing the combination of base model performances. In this research, MD is applied to efficiently adjust the weights of each base model, constructing an optimized ensemble model tailored to the characteristics of the data. An evaluation of this technique across various industrial datasets confirms that the optimized ensemble model proposed in this study achieves higher predictive performance than traditional models in terms of F1-Score and accuracy. This method provides a foundation for enhancing real-time analysis and prediction reliability in data-driven decision-making systems across diverse fields such as manufacturing, fraud detection, and medical diagnostics.

Korean English medium instruction (EMI) classes aim to foster active discussions and communicative interactions in English between instructors and students. However, many Korean students in these classes struggle due to their limited English proficiency. This paper examines the challenges faced by Korean EFL students in EMI environments, highlighting the necessity for support in both English and their native language to facilitate effective learning. It also identifies teaching strategies that have proven effective in helping these students navigate language barriers. The findings indicate that participants had difficulty developing their writing skills for assignments in EMI settings and encountered limited opportunities to communicate their understanding of course material with instructors. To address these challenges, it is important to assess students’ language skills and find a balance between Korean and English. Implementing flexible teaching methods can enhance the learning experience, making it more effective and supportive. By providing multiple approaches to learning, such as interactive activities or peer support, learning gaps can be bridged and overall educational outcomes enhanced.

이 논문은 W. B. 예이츠의 유산과 멜리스 베스리의 소설 􋺷흩어진 사랑􋺸에 서 나타나는 뼈의 상징적 공명을 탐구한다. 소설에서 예이츠의 유령은 그의 삶, 예술, 그 리고 자신의 유해라는 수수께끼 같은 운명을 되새기며 지속적인 주제들을 반추한다. 뼈의 모티프는 사랑, 죽음, 그리고 기억의 교차점을 포괄하는 서사적이고 은유적인 축으로 기능한다. 이러한 관점에서 이 논문은 베스리가 예이츠의 미완의 열정, 특히 모드 곤에 대한 사랑을 어떻게 재구성하며 그의 정체성의 더 넓은 문화적, 역사적 차원을 어떻게 탐구하는지를 살펴본다. 예이츠의 유해 발굴과 재매장에 얽힌 논란은 예술적 불멸성과 신체의 덧없음 사이의 긴장을 심화시키며, 이는 아일랜드의 복잡하고 종종 단절된 역사 적 서사를 반영한다. 예이츠를 현대 문학적 맥락에 배치함으로써 베스리는 그의 비전을 확장하면서도 변모시키며, 사랑, 상실, 유산에 대한 예이츠의 사색을 현대적 맥락에 녹여 낸다. 이 논문은 베스리의 소설이 뼈를 기억의 매개체로 부각시키며 예이츠의 시적 상상 력과 그녀 자신의 재해석 사이의 다리를 놓는다고 주장한다. 궁극적으로, 이 연구는 예 이츠와 베스리가 공유하는 죽음, 역사, 그리고 예술과 감정의 초월적 힘에 대한 탐구가 여전히 중요한 의미를 가진다는 점을 강조한다. 􋺷흩어진 사랑􋺸 은 예이츠의 사랑의 유산 을 재구성하며, 그 자체로 그 유산의 본질적 일부가 된다.

Defective product data is often very few because it is difficult to obtain defective product data while good product data is rich in manufacturing system. One of the frequently used methods to resolve the problems caused by data imbalance is data augmentation. Data augmentation is a method of increasing data from a minor class with a small number of data to be similar to the number of data from a major class with a large number of data. BAGAN-GP uses an autoencoder in the early stage of learning to infer the distribution of the major class and minor class and initialize the weights of the GAN. To resolve the weight clipping problem where the weights are concentrated on the boundary, the gradient penalty method is applied to appropriately distribute the weights within the range. Data augmentation techniques such as SMOTE, ADASYN, and Borderline-SMOTE are linearity-based techniques that connect observations with a line segment and generate data by selecting a random point on the line segment. On the other hand, BAGAN-GP does not exhibit linearity because it generates data based on the distribution of classes. Considering the generation of data with various characteristics and rare defective data, MO1 and MO2 techniques are proposed. The data is augmented with the proposed augmentation techniques, and the performance is compared with the cases augmented with existing techniques by classifying them with MLP, SVM, and random forest. The results of MO1 is good in most cases, which is believed to be because the data was augmented more diversely by using the existing oversampling technique based on linearity and the BAGAN-GP technique based on the distribution of class data, respectively.

This paper is a quantitative follow-up study of Lee’s (2017) qualitative examination on the usage of Korean human nouns for inanimate/non-human referents. It investigated the usage of “demonstrative + human noun” construct (e.g., yay ‘this child,’ i-chinkwu ‘this friend’) referring to inanimate referents by examining various factors that were chosen based on findings and discussions from Lee (2017) and Kim (2018, 2021). Statistical results conformed to the findings of these earlier studies, showing that human nouns referring to inanimate referents were favored when referents were compared to other things or had concrete concept. In addition, it was also revealed that formality conditioned the realization of human noun usage as human nouns for inanimate/non-human referents were favored in less formal contexts. These results provided a quantitative verification of Lee’s (2017) findings and additional insights to Kim (2018, 2021) along with the usefulness of interdisciplinary approaches to understanding sociolinguistic variables.

This study investigates the performance characteristics of electrodeposited (ED) silver nanowires (AgNWs) networks as transparent conducting electrodes (TCEs) considering Cu(In,Ga)Se2 (CIGS) thin-film solar cells. The electrodeposition process uniformly deposits silver onto a network of spin-coated AgNWs, resulting in the enlargement of individual nanowire diameters and the formation of stronger interconnections between the AgNWs. This structural enhancement significantly improves both the electrical conductivity and thermal stability of the ED AgNW networks, making them more efficient and robust for practical applications in solar cells. The study comprehensively examines the optoelectronic properties of the ED AgNW networks, encompassing total and specular transmittance, transmission haze values, and sheet resistance, with varying durations of silver electrodeposition. Additionally, this study presents the current density (J)-voltage (V) characteristics of CIGS thin-film solar cells employing the ED AgNW TCEs, revealing how electrodeposition duration impacts overall device performance. These findings offer valuable insights for optimizing TCEs in not only thin-film solar cells but also in other optoelectronic devices, highlighting the potential for improved long-term stability across various applications without compromising performance.

Airpower plays a key role in neutralizing military threats and securing victory in wars. This study analyzes newly introduced fighter forces by considering factors like performance, power index, operational environment, airbase capacity, survivability, and sustainment capability to devise an optimal deployment strategy that enhances operational efficiency and effectiveness. Using optimization methods like mixed integer programming (MIP), the study incorporates constraints such as survivability and mission criticality. The focus is on major Air Force operations, including air interdiction, defensive counter-air, close air support, and maritime operations. Experimental results show the proposed model outperforms current deployment plans in both wartime and peacetime in terms of operations and sustainment.

North Korea has repeatedly provoked using unmanned aerial vehicles (UAVs), and the threat posed by UAVs continues to escalate, as evidenced by recent directives involving the use of waste-laden balloons and the development of suicide drones. North Korea’s small UAVs are difficult to detect due to their low radar cross-section (RCS) values, necessitating the efficient deployment and operation of assets for effective response. Against this backdrop, this study aims to predict the infiltration routes of enemy UAVs by considering their perspective, avoiding key facilities and obstacles, and propose deployment strategies to enable rapid detection and response during provocations. Utilizing the Markov Decision Process (MDP) based on previous studies, this research presents a model that reflects both UAV flight characteristics and regional environments. Unlike previous models that designate a single starting point, this study addresses the practical challenge of uncertainty in initial infiltration points by incorporating multiple starting points into the scenarios. By aggregating and integrating the probability maps derived from these variations into a unified map, the model predicts areas with a high likelihood of UAV infiltration over time. Furthermore, based on case studies in the capital region, this research proposes deployment strategies tailored to the specifications of currently known anti-drone integrated systems. These strategies are expected to support military decision-making by enabling the efficient operation of assets in areas with a high probability of UAV infiltration.

This study proposes a mathematical model to optimize the fighter aircraft-weapon combinations for the Republic of Korea Air Force. With the recent emergence of the population cliff issue due to declining birth rates in Korea, there is an urgent need for efficient weapon system operations in light of decreasing military personnel. This study aims to enhance operational environments and mission efficiency within the military. The objective is to reduce the workload of pilots and maintenance personnel by operating an optimal number of weapons instead of deploying all possible armaments for each aircraft type. To achieve this, various factors for optimizing the fighter-weapon combinations were identified and quantified. A model was then constructed using goal programming, with the objective functions based on the compatibility, Circular Error Probable (CEP), and fire range of the weapons, along with the planned wartime mission-specific weapon ratios for each aircraft type. Experimental analysis of the proposed model indicated a significant increase in mission performance efficiency compared to the existing system in both operational and maintenance aspects. It is hoped that this model will be applied in military settings.

This study presents an optimization model for the Tactical Information Communication Network (TICN), which is crucial for military operations, focusing on the efficient deployment of communication nodes to create a rapid and robust network while minimizing both distances and the number of nodes required. By integrating mixed integer programming (MIP) with minimum spanning tree (MST) and Steiner Tree algorithms, the model ensures that nodes are connected through the shortest, most efficient routes. Simulations demonstrate the model’s ability to form cohesive networks under constrained resources and time, reducing transmission distances and maintaining network stability. Case studies in a grid environment confirm the system's efficiency, with the model able to redeploy nodes if damaged to preserve network integrity. By utilizing both high- and low-capacity transmission systems, the model ensures reliable communication in challenging terrains like Korea’s mountainous landscape. The findings have critical implications for military communication strategies, especially for multi-domain operations involving air, land, and sea forces, and support decision-making for rapid and efficient deployment of communication networks in unpredictable conditions.

3D printing using ceramic powder to produce precision ceramic parts has been studied with various additive manufacturing methods. This study analyzed problems occurring in alumina additive manufacturing that uses digital light processing (DLP) as well as methods to address such problems. For efficient analysis, we have classified alumina additive manufacturing into three types according to the driving method of the build platform - lifting type (LT), tilting type (TT) of the vat, and blade movement type (BT). LT had a problem with detachment and cracking of the alumina green body. However, this could be prevented by carefully controlling the cure depth of the suspension slurry and the bonding force between layers and improving the material used for coating the vat. TT, which resulted in non-uniform alumina additive manufacturing, could be improved by modifying the bidirectionality of the axis and the fluidity of the highly viscous alumina suspension slurry. BT resulted in detachment of the specimen as well as non-uniform results, but this could be avoided by shortening the shifting distance of the alumina suspension when it is introduced to the build platform, and enabling effective spreading.

본 연구는 하버마스와 슈미트의 관점을 대결을 통해 코소보에서의 인 도적 개입 사례를 해석해 보았다. 이는 현재 진행 중인 우크라이나 전쟁 에 특히 관련이 있다는 점에서 시의성을 지닌다. 우크라이나 전쟁은 미 국 패권의 쇠퇴의 단편으로 고려되고 있지만, 그 본질적 요소에 대한 메 타이론적 논의는 아직 부재하다. 사실 미국의 자유주의 규범의 이중성(인 권보호-인권개입) 그리고 인권과 국가 주권(불가침주의) 간의 상호 간섭 은 상당한 긴장을 발생시키고 전환기적 국제질서의 근간을 흔들고 있는 주요한 요소라는 점을 본 연구는 주목한다. 이를 위해 본연구는 현재 진 행되고 있는 우크라이나 전쟁 보다 완결된 사건인 코소보 사례를 통해 논의를 심화해 보았다. 이는 인권 보호를 위한 개입의 딜레마를 보여주 며, 이는 현재 우크라이나에서 벌어지고 있는 사건들과 밀접하게 유사하 다는 점에서 유의미 한 사례다. 많은 학자들은 이러한 사건들을 미국 패 권의 쇠퇴를 나타내는 것으로 해석하지만, 근본적인 문제는 인권과 주권 간, 그리고 개입과 보호 간의 갈등에 있기 때문이다. 더 나아가 이는 미 국 규범에 대한 도전이며 더불어 자유주의 규범의 파탄, 그리고 미국 패 권의 쇠퇴에 관한 담론의 정치철학적 근간을 드러낸다는 점에서 유의하 다. 즉, 인권과 주권의 본질을 미국 패권의 쇠퇴와 다극화의 상승이라는 더 큰 맥락에서 비판적으로 분석하는 것이 중요합니다. 우크라이나 전쟁 의 결과는 여전히 불확실하지만, 이 연구는 새롭게 떠오르는 국제 질서 내에서 추구해야 할 목표를 결정하는 것을 목표로 한다.