• Title/Summary/Keyword: pedagogical technology

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Negotiation in Conversations between Native Instructors and Non-native Students of English (영어원어민 강사와 비원어민 학생 간의 대화에서 의사소통을 위한 협상)

  • Cha, Mi-Yang
    • Journal of Convergence for Information Technology
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    • v.12 no.4
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    • pp.158-165
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    • 2022
  • Journal of Convergence for Information Technology. This study explores how native speakers (NSs) and non-native speakers (NNSs) of English negotiate meanings during conversational interactions to achieve successful communication. This study involved 40 participants: 20 native English speakers and 20 Korean university students. The participants were divided into 20 pairs, with each pair consisting of one NS and one NNS. Tasks for conversation were given and the execution recorded in order to collect data. 37 recorded conversations were transcribed and used for analysis, including statistical analyses. Results showed that both NSs and NNSs mutually put in effort for successful communication. While NSs mostly played the role of leading the natural flow of the conversation, encouraging their non-native interlocutors to speak, NNSs used various strategies to compensate for their lack of linguistic competence in the target language. NNSs employed a wide range of communicative strategies to keep the conversation going. The results of this study contribute to a better understanding of interactions between NSs and NNSs and yield pedagogical implications.

Exploring the Views of College Students in STEM Fields on the Social Responsibility of Scientists and Engineers (과학기술자의 사회적 책임에 대한 이공계 대학생의 인식 탐색)

  • Ko, Yeonjoo;Shim, Sungok Serena;Hwang, Yohan;Choi, Yuhyun;Ok, Seung-Yong;Nam, Chang-Hoon;Lee, Hyunju
    • Journal of Engineering Education Research
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    • v.25 no.2
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    • pp.42-56
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    • 2022
  • This study aimed to investigate the views of STEM college students on the social responsibility of scientists and engineers. A total of 660 students in STEM majors at several Korean universities participated in the study. We assessed social responsibility among college students in STEM majors using the VSRoSE scale, which taps into eight different domains of social responsibility: Concern for human welfare and safety (HUMAN), Concern for environmental sustainability (ENVIR), Consideration of societal risks and consequences (CONSEQ), Consideration of societal risks and consequences (CONSEQ), Consideration of societal needs and demands (NEEDS), Pursuit of the common good (COMGOOD), Civic engagement and services (CIVIC), Communication with the public (COMMU), and Participation in policy decision-making (POLICY). Group differences in social responsibility by gender, majors, and years in school were examined. Mean scores in HUMAN, ENVIR, and CONSEQ were relatively higher than those in NEEDS, COMGOOD, CIVIC, COMMU, and POLICY. Cluster analysis identified five different groups with similar patterns of social responsibility scores. In addition to two groups with overall high and low scores across all eight factors of VSRoSE, three additional groups with different combinations of high and low scores in different factors were identified. The results indicated that students with low social responsibility are not homogeneous and these heterogeneous sub-groups of students will need tailored interventions highlighting different factors of social responsibility that they lack. Pedagogical implications of social responsibility for education were discussed.

An advanced machine learning technique to predict compressive strength of green concrete incorporating waste foundry sand

  • Danial Jahed Armaghani;Haleh Rasekh;Panagiotis G. Asteris
    • Computers and Concrete
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    • v.33 no.1
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    • pp.77-90
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    • 2024
  • Waste foundry sand (WFS) is the waste product that cause environmental hazards. WFS can be used as a partial replacement of cement or fine aggregates in concrete. A database comprising 234 compressive strength tests of concrete fabricated with WFS is used. To construct the machine learning-based prediction models, the water-to-cement ratio, WFS replacement percentage, WFS-to-cement content ratio, and fineness modulus of WFS were considered as the model's inputs, and the compressive strength of concrete is set as the model's output. A base extreme gradient boosting (XGBoost) model together with two hybrid XGBoost models mixed with the tunicate swarm algorithm (TSA) and the salp swarm algorithm (SSA) were applied. The role of TSA and SSA is to identify the optimum values of XGBoost hyperparameters to obtain the higher performance. The results of these hybrid techniques were compared with the results of the base XGBoost model in order to investigate and justify the implementation of optimisation algorithms. The results showed that the hybrid XGBoost models are faster and more accurate compared to the base XGBoost technique. The XGBoost-SSA model shows superior performance compared to previously published works in the literature, offering a reduced system error rate. Although the WFS-to-cement ratio is significant, the WFS replacement percentage has a smaller influence on the compressive strength of concrete. To improve the compressive strength of concrete fabricated with WFS, the simultaneous consideration of the water-to-cement ratio and fineness modulus of WFS is recommended.

A narrative review on immersive virtual reality in enhancing high school students' mathematics competence: From TPACK perspective

  • Idowu David Awoyemi;Feliza Marie S. Mercado;Jewoong Moon
    • The Mathematical Education
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    • v.63 no.2
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    • pp.295-318
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    • 2024
  • This narrative review explores the transformative potential of immersive virtual reality (IVR) in enhancing high school students' mathematics competence, viewed through the lens of the technological, pedagogical, and content knowledge (TPACK) framework. This review comprehensively illustrates how IVR technologies have not only fostered a deeper understanding and engagement with mathematical concepts but have also enhanced the practical application of these skills. Through the careful examination of seminal papers, this study carefully explores the integration of IVR in high school mathematics education. It highlights significant contributions of IVR in improving students' computational proficiency, problem-solving skills, and spatial visualization abilities. These enhancements are crucial for developing a robust mathematical understanding and aptitude, positioning students for success in an increasingly technology-driven educational landscape. This review emphasizes the pivotal role of teachers in facilitating IVR-based learning experiences. It points to the necessity for comprehensive teacher training and professional development to fully harness the educational potential of IVR technologies. Equipping educators with the right tools and knowledge is essential for maximizing the effectiveness of this innovative teaching approach. The findings also indicate that while IVR holds promising prospects for enriching mathematics education, more research is needed to elaborate on instructional integration approaches that effectively overcome existing barriers. This includes technological limitations, access issues, and the need for curriculum adjustments to accommodate new teaching methods. In conclusion, this review calls for continued exploration into the effective use of IVR in educational settings, aiming to inform future practices and contribute to the evolving landscape of educational technology. The potential of IVR to transform educational experiences offers a compelling avenue for research and application in the field of mathematics education.

Effects of Gender Difference on English Learning with Technology (성별의 차이가 테크놀로지를 이용한 영어 학습에 미치는 영향)

  • Kim, Na-Young
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.8
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    • pp.403-416
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    • 2019
  • The focus of this study is on the new instructional and pedagogical application of teaching English as a foreign language (TEFL) with technology and by gender. Participants comprised 204 TEFL students in Korea. The study was conducted in the 2017 academic year. For this study, all participants attended English class using technology for three hours a week. Course syllabus, lecture notes, and other study materials were uploaded to the school website. Homework assignments, quizzes, and exams were also distributed through the website. To ascertain whether there are any differential effects from gender on learning English as a foreign language using technology, the quantitative materials included pre- and post-tests. This study also adopted qualitative methods, with structured interviews to obtain participants' comprehensive view of technology-assisted English lessons. Paired sample t-tests and independent t-tests were administered to analyze the quantitative data. The qualitative data were analyzed with the content analysis method. Findings show that both male and female students improved their English-speaking skills using technology. However, no gender difference was found in technology-assisted TEFL. Technology use for learning English also resulted in both genders' positive perceptions of language lessons. Based on these findings, this study yields practical implications for TEFL teachers in Korea.

Pre-service Earth Science Teachers Understanding about Volcanoes (화산에 대한 예비 지구과학 교사들의 이해)

  • Kim, Hyoung-Bum;Jeong, Jin-Woo;Ryu, Chun-Ryol
    • Journal of the Korean earth science society
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    • v.32 no.7
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    • pp.871-880
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    • 2011
  • The purpose of this research is to explore preservice earth science teachers' understanding of volcanic systems using a modified version of InVEST Volcanic Concept Survey (InVEST VCS, Parham et al., 2010). Results showed that participants' understanding of volcanic concepts was rather limited. Questions requiring only basic content knowledge (e.g., terminology associated with volcano) received high scoring responses, while questions requiring higher order thinking and deeper conceptual connections as the mechanics of volcanic eruption received low scoring responses. Specifically, the prediction of hazards and impacts on the environment appeared to be poorly understood. VCS results can be applied to improve the subject content knowledge as well as the pedagogical knowledge that instructors may use when they assess students' understanding of volcanism within a solid conceptual framework.

An empirical study on the perception of probability and statistics: With focus on S/W and H/W majors (소프트웨어와 하드웨어 전공자들의 확률 및 통계 교과목 인식에 관한 실증적 고찰)

  • Lee, Seung-Woo
    • Journal of the Korean Data and Information Science Society
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    • v.22 no.4
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    • pp.651-660
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    • 2011
  • This study aims at improving teaching and learning abilities on the courses of probability/statistics in the fields of the S/W and H/W. In order to do this, this paper firstly conducts a survey which measures the perception of the surveyees' necessity of the related courses, and includes the contents that the related courses should cover. Secondly, this paper analyzes the educational effect on the achievement by studying Pattern Recognition, a major course of S/W and H/W, with combining probability/statistics or data analysis. Lastly, this paper suggests the promising pedagogical method for educating probability/statistics by using a survey and the case studies. In this way, this paper shows the necessity of probability/statistics for acquiring a new technology and the flexible approach of various subjects.

Development and application of online physical computing curriculum for pre-service teachers (예비교사를 위한 온라인 피지컬 컴퓨팅 교육과정 개발과 적용)

  • Kim, Tae-ryeong;Han, Sun-gwan
    • Journal of The Korean Association of Information Education
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    • v.25 no.4
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    • pp.621-632
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    • 2021
  • This study is about development and application of a curriculum to implement physical computing education in an online environment for pre-service teachers. First, a 15-week software and physical computing curriculum was designed according to the ADDIE instructional design model. As a tool that can be used online, education was conducted on a program using various sensors using Pocket Code, an EPL based on a smartphone. As a result of the application of the program, Personal efficacy, Pedagogical knowledge, Technology teaching content knowledge, Result expectation, and Student belief were all significantly improved. In the software attitude part, Software interest and Software value part increased significantly, and the Perception of software engineers did not change. In general, in the case of physical computing, it is difficult to execute in an online environment because it involves a lot of manipulation activity. Through various studies that can continue education in a non-face-to-face environment or a blended environment in the post-corona era, it is hoped that it will be possible to provide a high-quality curriculum to pre-service teachers in charge of future education.

An Error Analysis on Business E-mails in English : A Case-Study (비지니스 이메일 영작문에 나타난 오류분석: 사례연구)

  • Hwang, Seon-Yoo
    • Journal of Convergence for Information Technology
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    • v.8 no.6
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    • pp.273-279
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    • 2018
  • This study aimed at providing a comprehensive account of the sources and causes of errors in business emails that Korean college students wrote using a translation machine. Data were collected from 21 emails written by the students who took a business English course. Findings indicated that the students tended to make frequent errors in verb use and verb tense as well as a definite article, countable/noncountable nouns, time adverbs and prepositions. Therefore, the study suggested that the students' common errors imply that they experience some difficulties learning these linguistic features. Given that learners' errors can give us valuable insights into teaching and learning how to write in English, pedagogical suggestions are put forward based on the study results.

Information and Analytical Support of Anti-Corruption Policy

  • Novak, Anatolii;Bashtannyk, Vitalii;Parkhomenko-Kutsevil, Oksana;Kuybida, Vasyl;Kobyzhcha, Nataliia
    • International Journal of Computer Science & Network Security
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    • v.21 no.3
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    • pp.134-140
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    • 2021
  • The development of technology speeds up the process of obtaining information and its analysis to track the level of corruption in different countries and develop countermeasures. This study examines the role of information and analytical support of anti-corruption policy as a tool for government accountability and analysis, evaluation, combating corruption in Eastern Europe. The purpose of the article is to identify the components of the information-analytical system that help reduce the level of corruption. The research methodology is based on a qualitative content analysis of the functioning of information and analytical systems of Ukraine used by anti-corruption bodies. A quantitative analysis of the CPI score was conducted, according to Transparency International, to identify the effectiveness of anti-corruption policies in developing countries. The results show similar trends in countries developing on the effect of the use of information and analytical systems in the implementation of anti-corruption policies, strategies and measures. The strategy to combat corruption mainly involves increasing the independence and powers of anti-corruption bodies. Therefore, the development of information and analytical support is aimed at automating the processes of pre-trial investigations and criminal proceedings, information protection. As a tool for accountability, information and analytical systems may be ineffective due to the abuse of power by higher anti-corruption bodies due to political pressure from elite structures. Restrictions on political will are a major problem for the effectiveness of anti-corruption policies.