• Title/Summary/Keyword: Learning of the role-play

Search Result 443, Processing Time 0.031 seconds

The Effect of Flip Learning Learning Method on Self-directed Learning Ability, Critical Thinking Disposition, and Academic Self-efficacy of Nursing Students (플립러닝 학습법이 간호대학생의 자기주도 학습능력, 비판적 사고성향, 학업적 자기효능감에 미치는 효과)

  • Yang, Ji-Won
    • Journal of the Korea Convergence Society
    • /
    • v.12 no.11
    • /
    • pp.467-473
    • /
    • 2021
  • The purpose of this study is to confirm the effect of health assessment classes applied with flip learning on self-directed learning ability, critical thinking disposition, and academic self-efficacy of nursing students. This is a comparative study before and after a single group, targeting sophomore students taking a health assessment by applying flip learning at a nursing college in K city, Gyeongsangbuk-do. The final analysis consisted of 104 subjects, and the pre-post difference was analyzed by a paired sample test. As a result, self-directed learning ability (t=-3.23, p<.01), critical thinking disposition (t=6.381, p<.001), and academic self-efficacy (t=-4.62, p<.001) were all statistically significantly increased. Based on the results of this study, it was confirmed that the flip-learning method is an effective program to enhance the self-directed learning ability, critical thinking ability, and academic self-efficacy of nursing students. In the long run, the application of the flipped learning learner will play a role in improving the educational environment and strengthening the abilities of students.

Recognition of Occupants' Cold Discomfort-Related Actions for Energy-Efficient Buildings

  • Song, Kwonsik;Kang, Kyubyung;Min, Byung-Cheol
    • International conference on construction engineering and project management
    • /
    • 2022.06a
    • /
    • pp.426-432
    • /
    • 2022
  • HVAC systems play a critical role in reducing energy consumption in buildings. Integrating occupants' thermal comfort evaluation into HVAC control strategies is believed to reduce building energy consumption while minimizing their thermal discomfort. Advanced technologies, such as visual sensors and deep learning, enable the recognition of occupants' discomfort-related actions, thus making it possible to estimate their thermal discomfort. Unfortunately, it remains unclear how accurate a deep learning-based classifier is to recognize occupants' discomfort-related actions in a working environment. Therefore, this research evaluates the classification performance of occupants' discomfort-related actions while sitting at a computer desk. To achieve this objective, this study collected RGB video data on nine college students' cold discomfort-related actions and then trained a deep learning-based classifier using the collected data. The classification results are threefold. First, the trained classifier has an average accuracy of 93.9% for classifying six cold discomfort-related actions. Second, each discomfort-related action is recognized with more than 85% accuracy. Third, classification errors are mostly observed among similar discomfort-related actions. These results indicate that using human action data will enable facility managers to estimate occupants' thermal discomfort and, in turn, adjust the operational settings of HVAC systems to improve the energy efficiency of buildings in conjunction with their thermal comfort levels.

  • PDF

Perceptions of preservice teachers on AI chatbots in English education

  • Yang, Jaeseok
    • International Journal of Internet, Broadcasting and Communication
    • /
    • v.14 no.1
    • /
    • pp.44-52
    • /
    • 2022
  • With recent scientific advances and growing interest in AI technologies, AI-based chatbots have been viewed as a practical learning aid for English language development. The purpose of this study is to examine preservice teachers' perceptions on the potential benefits of employing AI chatbots in English instruction and its pedagogical aspects. 28 preservice teachers majoring in English education were asked to use Kuki chatbots for a week with a guidance of a researcher and then report on their perceptions of AI chatbots in terms of perceived usefulness after use, applicability, and educational benefits and drawbacks. Emerging codes and themes were identified and evaluated using Thematic Analysis(TA) based on qualitative data from surveys and interviews. The findings show that six emerging themes were identified, encompassing perspectives on teacher, learner, communication, linguistic, affective, and assessment. The overall findings of this study revealed that AI-based chatbots can play a significant role as learning tools for stimulating interactive communication in a target language. Most preservice primary teachers acknowledge that AI chatbots can be useful as teaching and learning aids for both teachers and students. Furthermore, when applying various learner data to chatbot technology, such as learner assessment and diagnosis, a guided approach is necessary to perform a conversation appropriate for the learner's level and characteristics. Finally, as chatbots have a variety of benefits in terms of affective aspects, they may improve EFL learners' confidence in speaking English and learning motivation.

Development of a Prediction Model and Correlation Analysis of Weather-induced Flight Delay at Jeju International Airport Using Machine Learning Techniques (머신러닝(Machine Learning) 기법을 활용한 제주국제공항의 운항 지연과의 상관관계 분석 및 지연 여부 예측모형 개발 - 기상을 중심으로 -)

  • Lee, Choongsub;Paing, Zin Min;Yeo, Hyemin;Kim, Dongsin;Baik, Hojong
    • Journal of the Korean Society for Aviation and Aeronautics
    • /
    • v.29 no.4
    • /
    • pp.1-20
    • /
    • 2021
  • Due to the recent rapid increase in passenger and cargo air transport demand, the capacity of Jeju International Airport has been approaching its limit. Even though in COVID-19 crisis which has started from Nov 2019, Jeju International Airport still suffers from strong demand in terms of air passenger and cargo transportation. However, it is an undeniable fact that the delay has also increased in Jeju International Airport. In this study, we analyze the correlation between weather and delayed departure operation based on both datum collected from the historical airline operation information and aviation weather statistics of Jeju International Airport. Adopting machine learning techniques, we then analyze weather condition Jeju International Airport and construct a delay prediction model. The model presented in this study is expected to play a useful role to predict aircraft departure delay and contribute to enhance aircraft operation efficiency and punctuality in the Jeju International Airport.

Analysis of Visual Art Elements of Game Characters Illustrated by the Case of Glory of Kings

  • He, Yangyang;Choi, Chulyoung
    • International Journal of Internet, Broadcasting and Communication
    • /
    • v.12 no.3
    • /
    • pp.213-219
    • /
    • 2020
  • Visual art elements can most intuitively express the information expressed by a game character and play an important role in shaping a successful game character. We compares and analyzes the role design in the skins of the "Five Tiger-like Generals" series in Glory of Kings in terms of color, line, graphic and other visual elements. Different visual elements form different visual impacts and influences, which brings people different psychological feelings and presents different emotional colors. The reasonable use of visual elements gives people a refined visual experience and a comfortable psychological feeling, adding more influencing factors to the "immersion" of the game. It not only can strongly attract the attention and love of players, but also spreads traditional culture of the nation and the country. Therefore, whether the visual art elements of a game character can be appropriately used is an important part of the success of the game work. The analysis of visual art elements of game characters has important learning and research value.

Examining How Structures Shape Teacher and Student Agency in Science Classrooms in an Innovative Middle School: Implications for Policy and Practice (혁신 중학교 과학 수업 사례를 통해 본 구조가 학생과 교사의 행위성에 미치는 영향: 정책과 실천에 대한 시사점)

  • Park, Jisun;Martin, Sonya N.;Chu, Hye-Eun
    • Journal of The Korean Association For Science Education
    • /
    • v.35 no.4
    • /
    • pp.773-790
    • /
    • 2015
  • Conducted as an ethnographic examination of science teaching and learning in an Innovative Middle School in Korea, this study employs sociocultural theory to examine how structures afford and limit student participation in an innovative school designed to promote student-centered learning. Data includes teacher and student interviews, student responses to a questionnaire, classroom observations, and analysis of video recordings of ten lessons in two in two 8th grade science classes. Using structure|agency dialectic theory, we identify and describe some structures that afford and limit teacher and student agency at the micro (science classrooms), meso (school), and macro (Korean society) levels to raise some questions about current reform measures, such as innovation schools, that seek to position classroom teachers as agents for change in science education reform in Korea. Findings suggest that while teachers and school administrators play an essential role in structuring learning opportunities at the meso and micro levels, they have limited agency to address structural constraints originating at the macro-level, which can negatively impact teaching and learning in the science classroom. We offer implications for policy and practice and argue the need for more qualitative research, informed by sociocultural theory, to inform science education reform efforts in Korea.

Effects of Inter-phoneme Probabilities on the Acceptability Judgment of Korean CVC Nonwords

  • Lee, Yong-Eun
    • Speech Sciences
    • /
    • v.14 no.4
    • /
    • pp.41-52
    • /
    • 2007
  • Recent experimental studies have shown that language-users' knowledge of the statistical characteristic of their native language plays a key role in their task performance. One specific instance of this that the current study focuses on is the effect of phonotactic probabilities on speakers' wordlikeness judgment of nonwords. In this paper, I explore the question of whether the judgment of Korean speaking subjects as to the wordlikeness of Korean nonsense words is influenced by the degree of association between two-phoneme sequences in Korean. The current results suggest that the objective measure of correlations (expressed by $r_{\phi}$ values) between an onset consonant and a vowel inside Korean syllables play an important role in Korean speakers' nonword processing. The current results additionally indicate an effect of the correlations of two-phoneme sequences including vowels and coda consonants on nonword processing. Implications of these findings for Korean speakers' learning the correlations between adjacent segments inside the syllable are discussed.

  • PDF

Human Tutoring vs. Teachable Agent Tutoring: The Effectiveness of "Learning by Teaching" in TA Program on Cognition and Motivation

  • Lim, Ka-Ram;So, Yeon-Hee;Han, Cheon-Woo;Hwang, Su-Young;Ryu, Ki-Gon;Shin, Mo-Ran;Kim, Sung-Il
    • 한국HCI학회:학술대회논문집
    • /
    • 2006.02a
    • /
    • pp.945-953
    • /
    • 2006
  • The researchers in the field of cognitive science and learning science suggest that the teaching activity induces the elaborative and meaningful learning. Actually, lots of research findings have shown the beneficial effect of learning by teaching such as peer tutoring. But peer tutoring has some limitations in the practical learning context. To overcome some limitations, the new concept of "learning by teaching" through the agent called Teachable Agent. The teachable agent is a modified version of traditional intelligent tutoring system that assigns a role of tutor to teach the agent. The teachable agent monitors individual difference and provides a student with a chance for deep learning and motivation to learn by allowing them to play an active role in the process of learning. That is, The teaching activity induces the elaborative and meaningful learning. This study compared the effects of our teachable agent, KORI, and peer tutoring on the cognition and motivation. The field experiment was conducted to examine whether learning by teaching the teachable agent would be more effective than peer tutoring and reading condition. In the experiment, all participants took 30 minutes lesson on rock and rock cycle together to acquire the base knowledge in the domain. After the lesson, participants were randomly assigned to one of the three experimental conditions; reading condition, peer tutoring condition, and teachable agent condition. Next, participants of each condition moved into separated place and performed their own learning activity. After finishing all of the learning activities in each condition, all participants were instructed to rate the interestingness using a 5-point scale on their own learning activity and leaning material, and were given the comprehension test. The results indicated that the teachable agent condition and the peer tutoring condition showed more interests in the learning than the reading condition. It is suggested that teachable agent has more advantages in overcoming the several practical limitations of peer tutoring such as restrictions in time and place, tutor's cognitive burden, unnecessary interaction during peer tutoring. The applicability and prospects of the teachable agent as an efficient substitute for peer tutoring and traditional intelligent tutoring system were also discussed.

  • PDF

The Effects of the Level of Background Knowledge and the Metacognition Supporting TooI(MST) on the Learning Activities and Outcomes in Web Problem-Based Learning(Web PBL) Environment (웹 기반 PBL(Problem-Based Learning)에서 배경지식 수준과 메타인지 지원 도구의 제공여부가 PBL활동에 미치는 영향)

  • Kim, Kyung;Kim, Dong-Sik
    • The Journal of Korean Association of Computer Education
    • /
    • v.5 no.2
    • /
    • pp.29-37
    • /
    • 2002
  • The purpose of this study is to examine the effects of the level of background knowledge and the metacognition supporting tool (MST) on the learning activities and outcomes in a web problem based learning environment from the theoretical perspectives of PBL (problem-based-learning) in the Web and metacognition. Results suggest that the level of learners' background knowledge could play a slight role in problem oriented learning activities. This was because learning tasks were characterized by ill-structured problems in Web-based problem learning and this sort of learning might have been a somewhat newer experience for the selected students. Providing MST for learners' PBL activities, however, was highly beneficial for learners who practice PBL in Web based learning environments. In addition, for PBL outcomes, variables like problem solution reporting documents. the use of MST had a more positive effect on the lower level learners' background knowledge than the higher level learners'.

  • PDF

A study on affective variables and the role of teacher in the foreign language learning (외국어 학습에 있어서의 정의적 요인과 교사의 역할)

  • Jung, Mi-Young
    • English Language & Literature Teaching
    • /
    • no.1
    • /
    • pp.129-157
    • /
    • 1995
  • I made a careful study of affective variables in foreign language learning Affective variables have not been adequately investigated in the study of second language acquisition. Egoism and inhibition are two egocentric factors which play important roles in foreign language learning. Three sociocultural variables. cultural factors, introversion / extroversion, and aggression may be keys to understanding the social nature of second language learning. And the emerging of cognition and affect in "cognitive styles", which vary within and among individuals, might account for varying degree of success in learning a second language. In the process of learning English. the students new to foreign language come to face the language barrier. though they express the deep interest and feel excited at the beginning stage. Of course, the several reasons can explain this fact. but more specially they can be explained in terms of such personal affective factors as age, aptitude, personality, and first of all, motivation. Also the socicultural factors between language and culture can be considered to the learner's aptitude toward the language. Affective factors of students are involved in personality. and personality and affective factors affect English learning. Affective variables of students affect the will to take part in English learning, and the rate of participation in English learning affect the fluency. If students feel inconvenience in English class, it is rarely that they run a risk. Students who do not run a risk in English class are short of spontaneous participation Consequently, it may have negative influence on the accuracy and the fluency of English. Therefore, teachers must be more influential in motivating students and specially attentive so that the students may not make the negative and inhibitive language learning attitude.

  • PDF