Elementary English speaking assessment and tasks: Effects of task characteristics and performance conditions on speaking performance

2017 ◽  
Vol 23 (2) ◽  
pp. 119-142
Author(s):  
Seungmin Lee ◽  
Keyword(s):  
Task Characteristics ◽  
Speaking Assessment ◽  
English Speaking ◽  
Speaking Performance ◽  
And Performance ◽  
Performance Conditions ◽  
Elementary English

scholarly journals Students’ Personal Initiative towards their Speaking Performance

2017 ◽  
Vol 10 (8) ◽  
pp. 21 ◽  
Author(s):  
Nihta V. F. Liando ◽  
Raesita Lumettu
Keyword(s):  
English Language ◽  
Literature Study ◽  
Study Program ◽  
Personal Initiative ◽  
North Sulawesi ◽  
Language And Literature ◽  
Speaking Skill ◽  
English Speaking ◽  
Speaking Performance ◽  
Academic Year

This research aims at finding out students’ personal initiative towards their achievement in speaking English. This research was conducted in an English department at a university in North Sulawesi Indonesia. The data were obtained from the sixth semester students in English Language and Literature study program of academic year 2015/2016 consisting of 21 students. In obtaining the data about students’ personal initiative, a questionnaire was distributed, and for the speaking performance, the data were obtained from students’ scores in Public Speaking subject. To find out the relation between these two variables, Pearson’s Product Moment Correlation Coefficient formula was used. The result of this research shows that there is a correlation between students’ personal initiative towards their speaking performance with the value of  = (0.52) categorized as a moderate correlation. Based on the findings, it can be concluded that personal initiative of students was important to be considered as one of several determination factors for students’ achievement in English speaking skill. It is suggested that students encourage themselves for taking initiative to speak, and for the teacher to give the students correction and suggestion to help them develop themselves.

scholarly journals An Automatic Assessment Method for Spoken English Based on Multimodal Feature Fusion

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Qijing Zhang
Keyword(s):  
Discourse Analysis ◽  
Integral Model ◽  
Survey Method ◽  
Fuzzy Measures ◽  
Multimodal Discourse Analysis ◽  
Multimodal Discourse ◽  
Analysis Theory ◽  
Teaching Design ◽  
English Speaking ◽  
Elementary English

This paper provides a comprehensive explanation of the theoretical foundations of multimodal discourse analysis theory as applied to speaking instructional design. The specific application of multimodal theory in the teaching of elementary English speaking classrooms is explored through the teaching design of elementary English speaking classrooms, the teaching implementation of multimodal teaching design is carried out, and the effect of the teaching practice of elementary English speaking guided by multimodal discourse analysis theory is comprehensively evaluated through classroom observation method, questionnaire survey method, and interview method, combined with the teaching evaluation and teaching implementation effect, which is the multimodal teaching design. The paper also summarizes the findings and shortcomings of the study. Through the teaching design and implementation, the advantages of multimodal teaching are obvious; it can combine with modern advanced teaching techniques to create more realistic communicative situations in the classroom, gather and present various modal resources and information, and ensure rich and diverse language input; students can receive various sensory stimuli in the classroom, deepen their memory and experience of language, increase the interest of classroom teaching, and improve students’ participation. It also increases the interest of the classroom and enhances students’ participation and motivation. Based on multimodal theory, the author designed a multimodal teaching framework for a semester-long speaking course in the speaking classroom for reference. The fuzzy measures were constructed based on subsets of language segments containing 10 phonemes belonging to the same HDP set. Finally, linguistic scores are given by the Surgeon integral model based on the plausibility of the system and the fuzzy measures. The experimental results based on Sphinx-4 show that the evaluation model yields plausible and stable evaluation results for the 3 test sets at an average correct recognition rate of 84.7% of phonemes.

scholarly journals Research and Analysis of an Enterprise E-Commerce Marketing System Under the Big Data Environment

2021 ◽  
Vol 33 (6) ◽  
pp. 1-19
Author(s):  
Linze Li ◽  
Jun Zhang
Keyword(s):  
Big Data ◽  
Online Shopping ◽  
Practical Significance ◽  
Marketing System ◽  
Database Query ◽  
Online Sales ◽  
Modern Business ◽  
And Performance ◽  
Performance Conditions ◽  
Big Data Technology

As an emerging online shopping method, e-commerce has been widely popular since the popularization of the Internet. Online sales and online shopping have become the trend of modern business development. However, the functionality and performance conditions of the existing platform cannot be closely integrated with the merchant's own business. The purpose of this paper is to study the enterprise e-commerce marketing system based on big data. The system design of this paper adopts SSH framework as the main technology, the database selects HBase database, and the front end combines with Web2.0 technology for the interaction of interface display and operation. The experimental results show that applying big data technology to enterprise e-commerce marketing system has extremely important practical significance. Perform a performance analysis on this system,when the amount of data reaches 4000, the speed of HBase is 10.486s, and the query time of Mysql is 50.184s. It can be seen that the Hbase database query speed is much faster than the Mysql database query speed.

Factors affecting students’ speaking performance in English department of Jawzjan University

2020 ◽  
Vol 3 (4) ◽  
pp. 129-134
Author(s):  
Ahmad Shah Qasemi
Keyword(s):  
Quantitative Research ◽  
English Education ◽  
English Department ◽  
Data Collection Tool ◽  
Positive Perception ◽  
Factors Affecting ◽  
Speaking Out ◽  
Speaking Skill ◽  
English Speaking ◽  
Speaking Performance

This study aims to recognize the problems that students of English department face when they speak English. To achieve the objective of the investigation a quantitative research was designed. A questionnaire was used as the main data collection tool. The findings of the study showed that majority of the students have a positive perception about importance and necessity of speaking skill. According to the findings most of the students do not have the opportunity of practicing English speaking out of the class. Moreover, dissimilarity in English education background of the students are another challenge which is recognized in outcome of the study. Furthermore, the findings showed that most of the students feel motivated and confident in speaking performance. Moreover, the findings also revealed that the teachers have significant role for motivating the students in speaking performance. To sum up, the result exposed that students are appreciated and praised when they perform a speaking task efficiently.

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