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Utilizing AI-Generated Leveled Texts in EFL Literature Class
No full textThis study aims to explore the use of AI to adapt English literature for easier comprehension in EFL classes, addressing the challenge learners face with the complexity of literary texts. By utilizing AI-assisted learning tools, specifically automatic text generation capabilities of ChatGPT, complex literary works are paraphrased into simplified versions. This study tested the effectiveness of AI-generated leveled texts through a case study involving twelve high school students reading various levels (1, 2, 3) of the adapted novel Wonder over three weeks. Students engaged in pleasure reading and evaluated the texts on aspects such as flow, coherence, difficulty, and engagement. The experiments findings indicate that the level-adapted texts were highly beneficial, offering more advantages than drawbacks. Students reported increased immersion and enjoyment, and even attempted more challenging texts. The adaptations effectiveness varied by proficiency; upper-level learners used simplified texts as supplementary materials, middle-level students were more engaged, and lower-level students found even the simplest texts challenging. Overall, students reported increased self-efficacy and motivation, suggesting that AI-modified texts enhance reading speed and comprehension. Despite its benefits, limitations in AI-generated leveled texts were recognized, pointing to potential areas for further refinement. This approach offers a promising avenue for making English literature more accessible to EFL learners, expanding educational possibilities for those intimidated by original literary works.N
Educational Needs Analysis of Undergraduate Education Based on Core Competencies: A Case Study of S University
No full text본 연구의 목적은 대학을 둘러싼 환경 변화를 반영하여 대학생 핵심역량 모형을 새롭게 구성하고, 이를 기반으로 교수자와 학습자의 관점을 종합적으로 반영한 교육요구도를 도출하는 것이다. 이를 위해 S대학교를 사례로 하여 공공/시민사회, 기업, 학문영역 리더 22인 면담, 2회의 전문가 검토 워크숍을 거쳐 대학생 핵심역량 잠정 모형을 도출하고, 통계적 검증을 거쳐 최종 모형을 확정했다. 새롭게 구성된 대학생 핵심역량 모형은 7개 역량군, 27개 핵심역량, 71개 행동 지표로 구성되었으며, 도전 역량, 감성을 기반으로 한 리더십 역량, 디지털 역량, 삶의 전반을 관리하는 역량으로서의 자기관리 역량이 강조되어 있다. 새로운 핵심역량 모형을 토대로 S대학교 교수, 학생들을 대상으로 교육 요구를 분석한 결과, 교수와 학생 모두 정신 건강과 윤리인권의식을 최우선으로 개발할 필요가 있는 역량으로 인식하고 있었다. 반면 교수와 학생 간 교육 요구 차이도 드러났는데 교수는 사회 공동체 발전에 대한 관심과 책임 의식을 갖춘 인재의 필요성에 주목해 공동체 역량군과 협업 역량군을, 학생은 개인의 현재와 가까운 미래를 관리하는데 필요한 역량인 자기관리 역량군을 가장 우선적으로 개발되어야 하는 역량으로 인식하고 있었다. 연구 결과를 바탕으로 학부교육 교육과정 개발 및 운영 방향에 대해 제언하였다.N
Analyzing the Factors Influencing Car Dependency Using the Theory of Planned Behavior
No full text대중교통에 대한 꾸준한 투자에도 불구하고 승용차 이용자 수는 크게 줄어들지 않고 있다. 여기에 코로나 19의 경험, 예전보다 강해진 사생활 보호에 대한 요구 등으로 차량에 의존해서 통행하는 승용차 의존자(Car dependency)가 늘어나고 있다. 이 연구에서는 승용차 의존자의 통행 의도에 미치는 요인과 요인별 영향의 정도를 파악하고자 한다. 이를 위해 계획행동이론(Theory of Planned Behavior, TPB)의 기본모형을 활용했으며, 승용차 의존자를 대상으로 설문조사를 시행하였다. 조사결과를 바탕으로 구조방정식을 구축해 승용차 의존자들의 통행 의도에 미치는 요인을 분석하였다. 분석 결과, 행동신념체계는 태도에, 규범신념체계는 주관적 규범에, 통제신념체계는 지각된 행동통제에 정(+)의 영향을 미치는 것으로 나타났다. 또한, 태도, 주관적 규범, 지각된 행동통제가 행동의도에 정(+)의 영향을 미치는 것으로 확인되었다. 3개의 잠재 변수(태도, 주관적 규범, 지각된 행동통제) 중 태도가 주관적 규범이나 지각된 행동통제에 비해 행동 의도에 더 큰 영향을 미치는 것으로 식별되었다. 즉 주위의 인식, 스스로의 통제에 대한 확신은 상대적으로 큰 영향을 끼치지 못하고, 승용차 이용으로 발생하는 다양한 편리성에 따른 승용차에 대한 호의적인 태도가 의존성을 높임을 의미한다. 따라서 시민들의 승용차 의존 통행행태에 변화를 주기 위해서는 편리성에 기반한 호의적인 태도를 상쇄시키기 위한 정책적 노력이 필요하다.N
Critical Discourse Analysis of Physical Activity Promotion System (PAPS): Exploring Discourse Shifts and Implications
No full text본 연구는 Fairclough(2010)의 비판적 담론분석을 활용하여 학생 건강체력평가(이하 PAPS)의 역사적 변천 과정과 정책에 담긴 주요 담론을 분석하고 PAPS의 개선 방향을 모색하였다. 정책 문서, 법, 신문 기사에 대한 질적내용분석을 토대로 PAPS의 지배 담론의 의미와 성격을 밝히고 담론의 사회적 실천을 스포츠 교육의 관점에서 고찰하였다. 1951년 체력장이 도입된 이후 신체기능 측정과 통제 담론에서 2000년대 PAPS 도입과 정착으로 건강체력 평가 및 선별 담론으로 전환된 이후 현재는 PAPS의 확장을 중심으로 한 전 생애 체력 관리로의 질서 형성이 이루어지고 있다. PAPS를 둘러싼 담론이 형성되는 과정에서 교사, 학생, 학교 등 교육 주체와 정책-현장의 괴리에 대한 목소리는 정책에 제대로 반영되지 못하였다. 정책 개선 방향으로 PAPS의 신뢰성 및 타당성 확보, 가정-학교-지역 연계, 학교 기반 PAPS 운영'을 제안하였으며, 향후 학교-지역 연계 PAPS 운영 모델 연구와 근거 기반 정책 형성 및 실천을 위한 PAPS의 교육적 효과에 관한 연구의 필요성을 제기하였다.N
Skin preparation-free, stretchable microneedle adhesive patches for reliable electrophysiological sensing and exoskeleton robot control
No full textHigh-fidelity and comfortable recording of electrophysiological (EP) signals with on-the-fly setup is essential for health care and human-machine interfaces (HMIs). Microneedle electrodes allow direct access to the epidermis and eliminate time-consuming skin preparation. However, existing microneedle electrodes lack elasticity and reliability required for robust skin interfacing, thereby making long-term, high-quality EP sensing challenging during body movement. Here, we introduce a stretchable microneedle adhesive patch (SNAP) providing excellent skin penetrability and a robust electromechanical skin interface for prolonged and reliable EP monitoring under varying skin conditions. Results demonstrate that the SNAP can substantially reduce skin contact impedance under skin contamination and enhance wearing comfort during motion, outperforming gel and flexible microneedle electrodes. Our wireless SNAP demonstration for exoskeleton robot control shows its potential for highly reliable HMIs, even under time-dynamic skin conditions. We envision that the SNAP will open new opportunities for wearable EP sensing and its real-world applications in HMIs.Y
10-GSymbols/s Supply Modulated 250-GHz SiGe HBT Transmitter RF Front-End with 6.8-dBm Peak Modulated Power
No full textA 250-GHz SiGe HBT (fT and fmax of 300 GHz and 450 GHz) transmitter RF front-end using supply modulation at 10GSymbols/s along with a 16-customized-APSK (APSKc) constellation is used to generate instrumentation limited 40-Gbps signals with a peak modulated power of 6.8 dBm and an EVM of-18.9 dB, while consuming ∼1W of DC power. The peak modulated output power and efficiency for the average modulated power generation of the transmitter RF front-end is 3X and 2.3X higher than when conventional QAM modulation with a backoff is employed. The 6.8-dBm peak modulated power is the highest among the reported in literature.N
Archipelagic Politics: Hawaiian Sovereignty and Settler Narrative
No full textThis paper attempts to elucidate the historical trajectory of native sovereignty movements in Hawaiian archipelago and their socio-political struggle with Asian settler colonialism. Proponents of Hawaiian native sovereignty have continuously demanded the nation-to-nation negotiation and the recognition of the U. S. federal government, while Asian settlers as locals in Hawaii, now dominating the ethnic power structures of the State of Hawaii since 1959, strenuously insist on the priority of multiculturalism in the society of immigrants. Politically allied with Democratic Party, Asian settlers are not willing to recognize the rights of indigenous people and their self-determination, let alone forming a coalition with natives. Sovereignty activists argue that this liberal multi-cultural settler ideology effectively supports what they call the structure of settler colonialism which relies on the unjustifiable identification of natives and settlers. Aptly described in Gary Paks novels, Asian settler colonialism in Hawaii is a structural obstacle that hinders settlers coalition with natives by compelling them to forget the history of racial victimization of natives in Hawaiian archipelago. After briefly revisiting the controversial issues of native sovereignty and settler colonialism in Hawaii, I argue that archipelagic politics of coalition could really be dependent upon the settlers recognition, not concession, of the legitimacy of indigenous sovereignty as a realistic strategy for mutual benefit. To be an American should not be the unilateral goal of all ethnic groups in the territories of the States.N
Robust Image Denoising through Adversarial Frequency Mixup
No full textImage denoising approaches based on deep neural networks often struggle with overfitting to specific noise distributions present in training data. This challenge persists in existing real-world denoising networks, which are trained using a limited spectrum of real noise distributions, and thus, show poor robustness to out-of-distribution real noise types. To alleviate this issue, we develop a novel training framework called Adversarial Frequency Mixup (AFM). AFM leverages mixup in the frequency domain to generate noisy images with distinctive and challenging noise characteristics, all the while preserving the properties of authentic real-world noise. Subsequently, incorporating these noisy images into the training pipeline enhances the denoising network's robustness to variations in noise distributions. Extensive experiments and analyses, conducted on a wide range of real noise benchmarks demonstrate that denoising networks trained with our proposed framework exhibit significant improvements in robustness to unseen noise distributions. The code is available at https://github.com/dhryougit/AFM.N
Spillover Effects of Financial Reporting on Public Firms Corporate Investment: Evidence from Structural Estimation
No full textI examine whether public firms financial reporting has spillover effects on the amount and efficiency of other public firms investment and quantify the relative importance of these indirect spillover effects vis-à-vis the direct effects due to firms own financial reporting. Using structural estimation, I examine the effect of financial reporting on aggregate output from the public corporate sectors investment and estimate that a significant portion—roughly half of the total effect of financial reporting and a quarter of the marginal effect of an incremental change in financial reporting precision—is due to spillover effects.N
Impact of conducting agents on sulfide and halide electrolytes in disordered rocksalt cathode-based all-solid-state batteries
No full textAll-solid-state battery (ASSB) systems have attracted significant attention due to their high energy density and safety compared with conventional batteries. Moreover, the application of Mn-based cation-disordered rock-salt (DRX) that possesses cost-effectiveness and high energy density on the ASSB system as a cathode is expected to be the superior next-generation battery system. However, DRX cathodes require high carbon contents due to their low electronic conductivity, leading to challenges in introducing them in ASSB systems, as the high carbon levels can cause electrolyte decomposition which potentially affects overall electrochemical performance. In this work, we applied Mn-based DRX cathodes to ASSB systems within a voltage range of 1.5-4.8 V and evaluated the suitability of cathode composites using halide and sulfide electrolytes as catholytes, respectively. The experimental results showed that the high carbon contents induced side reactions with the argyrodite, resulting in electrochemical degradation such as the drop of initial discharge voltage and the capacity fading. Meanwhile, cathode composites using a halide electrolyte exhibited relatively enhanced electrochemical performance due to its high oxidation stability regardless of the high amount of carbon contents. Consequently, the electrochemical reactions of the electrolyte, influenced by the content of conductive additives and the type of electrolyte, had a great impact on the performance of ASSB systems. This study provides a deep understanding of the interplaying among solid electrolytes, cathodes, and conductive additives and offers an important foundation for future research and development in ASSB systems.imageY