• Title/Summary/Keyword: Perceived Fairness

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Perception of German Secondary School Teachers of English on Student Evaluation: Focusing on 7th-grade Teachers at Gymnasium (독일 영어중등교원의 학생평가에 대한 인식 연구 - 김나지움 7학년 영어교사를 중심으로 -)

  • Tschong, Youngkun;Lee, Ji-Na;Kim, Hyosun
    • Korean Journal of Comparative Education
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    • v.28 no.2
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    • pp.1-21
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    • 2018
  • The purpose of this study is to explore secondary school teachers' perceptions of student evaluations, focusing especially on students' performance in the classroom. The study selected Germany as a representative country where teachers' performance evaluation strongly affects students' school pathways. The researchers selected 4 English teachers and conducted in-depth interviews with them. The results indicated that German English teachers perceived students' performance as an individual evaluation and provided each student with oriented learning materials and evaluation results. The second, they used formative evaluations to confirm and motivate their students' learning process as well as peer assessments. The third, the German English teachers showed strong empowerment in the evaluation process. The fourth, they motivated to participation in-class activities teacher through performance evaluation considering fairness. Based on the results, future studies should need to observe real settings in the classroom and students' perceptions of their evaluations. the study also suggested using practical performance evaluations to enhance students' motivation and participation in the classroom. This study identified limitations of the research and made significant recommendations for future studies.

A Study on the Use and Risk of Artificial Intelligence (Focusing on the eproperty appraiser industry) (인공지능의 활용과 위험성에 관한 연구 (감정 평가 산업 중심으로))

  • Hong, Seok-Do;You, Yen-Yoo
    • The Journal of the Korea Contents Association
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    • v.22 no.7
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    • pp.81-88
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    • 2022
  • This study is to investigate the perception of domestic appraisers about the possibility of using artificial intelligence (AI) and related risks from the use of AI in the appraisal industry. We conducted a mobile survey of evaluators from February 10 to 18, 2022. We collected survey data from 193 respondents. Frequency analysis and multiple response analysis were performed for basic analysis. When AI is used in the appraisal industry, factor analysis was used to analyze various types of risks. Although appraisers have a positive perception of AI introduction in the appraisal industry, they considered collateral, consulting, and taxation, mainly in areas where AI is likely to be used and replaced, mainly negative effects related to job losses and job replacement. They were more aware of the alternative risks caused by AI in the field of human labor. I was very aware of responsibilities, privacy and security, and the risk of technical errors. However, fairness, transparency, and reliability risks were generally perceived as low risk issues. Existing studies have mainly studied analysis methods that apply AI to mass evaluation models, but this study focused on the use and risk of AI. Understanding industry experts' perceptions of AI utilization will help minimize potential risks when AI is introduced on a large scale.

A Study on the Analysis of Necessary Information to Explore the Employees' Teamwork Behavior (직원의 팀워크 행동 예측을 위한 필요 정보 분석에 관한 연구)

  • Youngshin Kim
    • Journal of Internet Computing and Services
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    • v.25 no.3
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    • pp.83-92
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    • 2024
  • Recently, the importance of HR analytics for data-based decision-making in establishing and operating an effective human resource management system for companies is increasing. In addition, there is growing interest in the effect of employees' perceptions of organizational justice on positive organizational behavior. Therefore, in this study, among the various factors affecting teamwork behavior, we analyzed the impact on teamwork behavior such as perception of organizational justice and organizational culture. Organizational justice has a significant impact on the formation of members' attitudes, but its meaning may vary depending on the organizational context. In this study, we divided organizational justice into four types (procedural, distributive, interpersonal, and informational fairness) and confirmed their impact on teamwork behavior. In addition, organizational culture was divided into hierarchy culture and innovation culture, and how to regulate these relationships was examined. To analyze these relationships, individual-level data collected from 657 people at domestic companies were used for analysis. According to the analysis results, in a hierarchical culture, procedural justice and information justice had a positive influence on teamwork behavior through the mediating process of job satisfaction, and in an innovative culture, interpersonal justice and information justice had a positive influence on teamwork behavior through job satisfaction. It was confirmed to have a (+) effect. These research results provide implications for people management by indicating that, although organizational justice is important to members and organizations, it may be perceived differently and have different meanings depending on the organizational context. Through the use of the information presented in this study, we will provide value that can effectively and efficiently implement a company's human resource management system.

Structural relationship among justice of non-face-to-face exam, trust, and satisfaction with university (치위생(학)과 학생이 지각한 비대면 시험의 공정성, 시험 불안 및 학교 신뢰 간의 구조적 관계)

  • Hyeong-Mi Kim;Chang-Hee Kim;Jeong-Hee Kim
    • Journal of Korean Dental Hygiene Science
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    • v.6 no.1
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    • pp.37-50
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    • 2023
  • Background: This study investigated the structural relationships among justice, test anxiety, and school reliability s non-face-to-face tests of dental hygiene students. Methods: A survey was conducted with 267 dental hygiene students. The survey items included general characteristics, opinions on evaluation, the fairness of non-face-to-face tests (distributive, procedural, and interactional justice), school satisfaction, and school reliability. For statistical analysis, independent-sample t-tests, one-way ANOVA, and structural modeling analyses were performed. Results: Among factors that directly affected distributive justice and reliability towards non-face-to-face tests, the higher the interactional justice (β=0.401, p<0.001) and distributive justice (β=0.232, p=0.002) levels, the higher the school satisfaction. The higher the school satisfaction (β=0.606, p<0.001) and procedural justice (β=0.299, p<0.001) levels, the higher the perceived reliability of the school. Factors that indirectly affected school reliability included interactional justice (β=0.243, p=0.010) and distributive justice (β=0.141, p=0.010). Interactional justice (β=0.592, p=0.010) and distributive justice (β=0.208, p=0.010) were the factors affecting school satisfaction. Moreover, factors that influenced school reliability were distributive justice (β=0.56, p=0.010), interactional justice (β=0.332, p=0.010), procedural justice (β=0.229, p=0.010), and distributive justice (β=0.116, p=0.010). Conclusions: Students will trust and be satisfied with schools when schools and professors sufficiently provide information on face-to-face tests and ensure proper procedures to achieve reasonable grades as rewards for exerted time and effort. Furthermore, this study provides a reference base for developing a variety of content for fair, non-face-to-face tests, thereby allowing students to trust their schools.