1,721,803 research outputs found
Exploring the impact of audio self-modelling on Chinese as a foreign language students' tone pronunciation skill, self-efficacy, and motivation
No full textBackground study
Chinese tone pronunciation instruction gains increasingly attention and various instructional strategies have been studied to develop effective tones in students. Students usually listen to successful pronunciation stimuli provided by the teacher or peers, to be copied by themselves. However, individuals seem more sensitive to learn from their own voice to develop adequate tone pronunciation. Self-Modelling is an instructional strategy that builds on learning from ones' own behaviour to develop target behaviours. Most available research builds on visual cues; hence the label Visual Self Modelling (VSM) that presents learners with videoclips of their own behaviour. VSM had been found to be successful to develop a range of skills. However, when focusing on language pronunciation, audio cues are to be preferred to direct the modelling process. This inspired the authors to the design of audio self-modelling (ASM) that starts from recordings of students' pronunciation. These auditory recordings are hypothesized to be more appropriate as a base for self-modelling.
Objectives
The purpose of this study is to investigate the effectiveness of ASM when training Chinese as a foreign language students' tone pronunciation (focus on contour, pitch, duration. Additionally, the study explores the impact of ASM on students' self-efficacy and motivation and the relationship between students' tone pronunciation skill, self-efficacy, and motivation.
Method
A quasi-experimental design was adopted, involving 26 students in a six-week intervention to study the improvement of their pronunciation of Chinese tones at word level. Seventeen students in the experimental condition were trained via ASM; the other nine students studied pronunciation as usual on the base of teacher provided pronunciation stimuli and corrective feedback. Students in the ASM were also individually interviewed about their learning experience.
Results
Analysis of the quantitative pre- and post-tests scores show that ASM results in a significantly higher posttest score for in each of the tone criteria as compared to the control group (contour, pitch and duration). Also, students' self-efficacy and motivation improved to a significantly higher extent in the ASM research condition. No significant correlations were found between CFL students' tone pronunciation performance and their self-efficacy and motivation. Analysis of the interview data further indicated that CFL students put forward positive attitudes and perceptions about ASM, next to some concerns.
Conclusion
The significant findings present empirical evidence as to the efficacy of ASM as an instructional strategy to develop L2 skills, and push the idea to adopt self-modelling on the base of person auditory recordings to direct L2 pronunciation instruction
Pedagogical content knowledge: a systematic review of Chinese language pronunciation teaching in the CFL context.
Full text linkVideo self-modeling (VSM) as a strategy to instruct CFL students’ sentence-level stress
No full textSentence-level stress is one of the major means of expressing information focus in oral speaking, and it is of importance for Chinese as a foreign language (CFL) learners to accurately receive and send the right information in conversation. However, research related to teaching stress, especially sentence-level stress, is indeed scarce. In this study, we investigate whether video self-modeling (VSM) is applicable to improve CFL students’ sentence-level stress. VSM, as an innovative strategy, only shows the positive targeted behavior by using videos or audios of oneself, and aims to decrease students’ frustration and the negative influence caused by failed accomplishments. Twelve beginning-level CFL students, taken as the experimental group, received the edited perfect pronunciation audios with their own voice and used these own-voice audios to train their sentence-level stress. At the same time, another twelve advanced-level CFL students were taken as the control group, and received traditional instructional strategies from their class teacher. The whole training continued for ten sessions during a period of two and half months. Quantitative results show that with the help of VSM, CFL students’ sentence-level stress improved significantly as compared to the control group, with increased scores on the pronunciation of sentence-level stress words and increased scores in all three parameters: pitch, intensity, and duration. A post-training survey revealed that the participants’ preference for using their own voice as instructional material resulted in a feeling of success and satisfaction. The findings corroborate the importance of computer-assisted language learning in the second language (L2) field, and add solid evidence of using VSM in foreign-language training
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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