중국 영화·드라마 중 방언의 언어 이미지 연구

王莉宁 ( Wang Lining ),潘莹莹 ( Pan Yingying ),민경만 ( Min Kyungman ) 한국외국어대학교 중국연구소 2022 中國硏究 Vol.91 No.-

This paper is a translation of < Study of the Language Image of Dialects in Movies and TV Series > published in 2021 by Wang Lining and Pan Yingying. Based on linguistic data selected from 400 movies and TV series, this article attempts to examine types, varieties, and time distribution of dialectal movies and TV series over the last decade or so and analyzes the social variables of 620 dialect users in these movies and TV series. The findings reveal that Cantonese, Southwest Mandarin, Zhongyuan Mandarin, and Northeast Mandarin are more frequently used than others in movies and TV series. These dialects have become important language resources being utilized for literary expression of local characteristics. Since 2016, the number of dialectal movies and TV series has increased significantly, and their social images have been improved, and their economic benefits have been attractive; the socio-economic status of dialect users is embodied in social factors such as “middle-aged”, “male”, “manual worker”, “low literacy”, “rural township” and “comedy”; these factors function as contributors in constructing the current language image of dialects in movies and TV series. The article argues that the creation and dissemination of language image must conform with maintaining the major status of the ‘National Commonly Used Language and Characters’; at the same time, from the perspective of protecting and inheriting dialectal cultures, the language image of dialects in movies and TV series should be prevented from being stereotyped.

Effects of Scaffolding Type and Metacognition Level on Higher-order Thinking Skills and Task Performance in Mathematical Learning: Lens of Neo-Vygotskian Theoretical Learning

PAN Yingying,김회수 서울대학교 교육종합연구원 2022 The SNU Journal of Education Research Vol.31 No.4

Neo-Vygotskian theoretical learning was developed based on Vygotsky’s notions of scientific knowledge as psychological tools and teaching these tools as major instructional content. Vygotsky’s adherents challenged the validity of the theoretical assumptions of guided discovery learning and argued that this scaffolding strategy was probably not a proper way to teach students scientific knowledge. Therefore, this paper investigated the effects of these different scaffolds and learners’ metacognition on their higher-order thinking skills and task performance in mathematical learning. Eighty-four eighth grade students participated in our study. The learning sessions consisting of eight 40-minute lessons were conducted by a single teacher. The results showed that the theoretical learning group developed significantly better higher-order thinking skills and performed better than did the guided discovery learning group or the didactic learning group. Moreover, our study did not find a significant interaction between scaffolding type and metacognition, which indicated that the theoretical learning scaffold was more effective than were the other scaffolds regardless of the levels of metacognition.

Artificial Intelligence in Higher Education: A Bibliometrics Analysis

Yingying Pan,Monthusi Magosi,Zhaopu Yan 서울대학교 교육종합연구원 2021 The SNU Journal of Education Research Vol.30 No.2

With the coming of the era of intelligence, the integration and innovation of artificial intelligence and education has become an essential trend for future educational reform. In this paper, a bibliometrics analysis of 288 academic publications between 2000 and 2020 was carried out to provide a systemic and objective overview of research in this field by visualizing collaboration network and performing keyword analysis. The results show that the number of publications in this field has increased rapidly since 2016. The most productive countries are the United States, China and some European countries like England and Spain. However, a complete and close collaboration network of institutions or authors has not yet been formed. Three themes are synthesized by analyzing the related keywords: (1). diverse artificial intelligence technologies; (2). intelligent tutoring system to support student learning; and (3). educational data mining and learning analytics. The findings also show that research on intelligent tutoring systems to support student learning has long been a focus of this field, whereas data science is a relatively new research trend.

A Strategic Study of Enterprise Brand with Design System as an Orientation

Yingying Pan,Jounghyung Cho,Myongso kim 한국디자인학회 2018 한국디자인학회 학술발표대회 논문집 Vol.2018 No.11

Design and Evaluation of a Social Networking Site (SNS) Supported Collaborative Learning Environment for Vocabulary Learning

YANG Wanping,PAN Yingying 한국교육공학회 2022 Educational Technology International Vol.23 No.1

Vocabulary learning plays an important role in language learning. This study explored a new paradigm based on social networking site (SNS) supported collaborative learning for vocabulary learning. SNS supported collaborative learning (SSCL) can effectively promote learners’ engagement, interest and motivation by providing a more communicative and interactive environment. However, vocabulary learning studies on SSCL mainly focused on the effectiveness and influencing factors, lacking specific instructional strategies. Therefore, this study aims to develop instructional strategies that guide instructors to create an SSCL environment for facilitating vocabulary learning. The final instructional strategies are composed of three stages according to the course process, consisting of 8 general strategies and 21 specific guidelines. The content validity was ensured by four experts in the field of educational technology. The instructional strategies were then applied in an actual classroom with 16 students. The positive responses from the instructor and learners indicated that SSCL can be reasonably incorporated into the current curriculum to provide effective learning opportunities and to promote learners’ vocabulary learning.

Correlation analysis of muscle amino acid deposition and gut microbiota profile of broilers reared at different ambient temperatures

Yang, Yuting,Gao, Huan,Li, Xing,Cao, Zhenhui,Li, Meiquan,Liu, Jianping,Qiao, Yingying,Ma, Li,Zhao, Zhiyong,Pan, Hongbin Asian Australasian Association of Animal Productio 2021 Animal Bioscience Vol.34 No.1

Objective: Temperature could influence protein and amino acid deposition as well as gut microbiota profile and composition. However, the specific effects of ambient temperature on amino acids deposition and gut microbiota composition remain insufficiently understood. Methods: A total of 300 one-day-old Avian broilers were randomly divided into three groups and reared at high, medium, and low temperature (HT, MT, and LT), respectively. Breast muscle and fecal samples were collected for amino acid composition analysis and 16S rRNA gene sequence analysis. Results: Our data showed that compared to the MT group, there was a decrease of muscle leucine and tyrosine (p<0.05), as well as an increase of methionine in the HT group (p<0.05) and a decrease of serine in the LT group. Examination of microbiota shift revealed that at genus level, the relative abundance of Turicibacter and Parabacteroides was increased in the HT group (p<0.05) and that the relative abundances of Pandoraea, Achromobacter, Prevotella, Brevundimonas, and Stenotrophomonas in the LT group were higher than those in the MT group (p<0.05). In addition, there were substantial correlations between microbes and amino acids. In the HT group. Turicibacter was negatively correlated with aspartic acid and tyrosine, whereas Parabacteroides was positively correlated with methionine (p<0.05). In the LT group, there were multiple positive correlations between Achromobacter and arginine, isoleucine or tyrosine; between Prevotella and cysteine or phenylalanine; between Brevundimonas and cysteine; and between Stenotrophomonas and cysteine as well as a negative correlation between Stenotrophomonas and serine. Conclusion: Our findings demonstrated that amino acid content of breast muscle and intestinal microbiota profile was affected by different ambient temperatures. Under heat exposure, augmented abundance of Parabacteroides was correlated with elevated methionine. Low temperature treatment may affect muscle tyrosine content through the regulation of Achromobacter.