scholarly journals Introducing the Thought-Listing Technique to Measure Affective Factors Influencing Attitudes toward Science

2020 ◽  
Vol 8 (6) ◽  
pp. 2245-2250
Author(s):  
Eunjeong Yun
Keyword(s):  
Attitudes Toward Science ◽  
Affective Factors ◽  
Factors Influencing ◽  
Thought Listing

scholarly journals KEY FACTORS INFLUENCING LEARNERS’ ORAL FLUENCY IN ENGLISH SPEAKING CLASSES: A CASE AT A PUBLIC UNIVERSITY IN VIET NAM

2020 ◽  
Vol 36 (6) ◽  
pp. 93
Author(s):  
Dinh Thi Bich Ngoc ◽  
Tran Thi Dung
Keyword(s):  
Language Learning ◽  
English Language ◽  
Structured Interview ◽  
Survey Questionnaire ◽  
Structured Interviews ◽  
Oral Fluency ◽  
Factors Affecting ◽  
Affective Factors ◽  
Factors Influencing ◽  
English Speaking

In the field of English language learning, speaking is regarded as one of the most important skills to be developed and enhanced continually as means of effective communication. In most English classes at universities, many students find it difficult to express themselves in spoken English. So this research aims to investigate prominent factors affecting fluency of second-year students in speaking skill. The study uses mixed research methods with two data collection instruments namely survey questionnaire and semi-structured interview. The participants joining the survey questionnaire include 98 English non-majored students who were taking the English speaking course in their second semester at a university. The semi-structured interviews were conducted with 15 teachers and 15 students. The findings reveal that the group of affective factors is the prominent one, and then followed by automation, error correction and performance factors influencing their oral fluency. Therefore, some useful recommendations focusing on interactive strategies to minimize learners’ difficulties in oral fluency as well as develop their fluency in English speaking performance in this study could be taken into account for EFL teachers in English speaking classes.

scholarly journals Motivation for Participating and Performing in English Classrooms: Between Self-images and Positioning

2020 ◽  
Vol 4 (2) ◽  
pp. 229
Author(s):  
Shanthi Nadarajan ◽  
Nurulhuzaiman Hussain ◽  
Damien Mikeng
Keyword(s):  
Language Learning ◽  
First Language ◽  
Positive Influence ◽  
Language Learner ◽  
Language Resources ◽  
Learner Motivation ◽  
Affective Factors ◽  
Digital World ◽  
Statistical Measures ◽  
Factors Influencing

Second language learning motivation is often analyzed as a multidimensional construct involving learner’s images of their individual selves and complex statistical measures. While many of these analysis have deepened understanding of various cognitive and affective factors influencing language learner behavior, research investigating the different motivation factors that combine learner types remains scarce. Involving 78 Malaysian undergraduates from a University in East Malaysia taking a proficiency course, the study looked at learner motivation in relation to L2 motivational dimensions, classroom factors and learning goals. An exploratory cluster analysis identified 4 group motivational profiles: 1-motivated, 2-amotivated, 3-externally motivated and 4-self-determined. Initial data analysis found both learner images (the ideal L2 learner) and instrumental (Ought to L2 learner) as main factors influencing motivated learning behavior. The combined findings for learner confidence in the classroom and vitality of L2 speaker communities revealed that except for the extrinsically motivated communities (e.g. International Finance students), most students indicated learning as more meaningful if attention was given to their first language resources. Classroom activities that integrate first language resources  have a positive influence on learner’s effort and willingness to invest while a strict L2-only perspective have a negative effect on learner motivation. Given the role of English for the digital world, L2 universities may benefit from including learners’ first language resources and experience for engaging and helping learners to perform academically.

Factors Influencing Learners' Cognitive and Affective Processes in Visual Learning

2018 ◽  
pp. 216-232 ◽  
Author(s):  
Robert Z. Zheng
Keyword(s):  
Cognitive Load ◽  
Visual Learning ◽  
Meaningful Learning ◽  
Cognitive Factors ◽  
Affective Factors ◽  
Factors Influencing ◽  
Affective Processes ◽  
Cognitive And Affective Factors

This chapter focuses on the cognitive and affective factors that may influence learners' performance in visual learning. Both cognitive and affective factors were identified with cognitive factors aiming to reduce cognitive load, making meaningful learning through schema connection and activation. The affective factors focused on meeting the psychological and self-fulfillment needs in visual learning. Discussions were made on the implications of the chapter in terms of supporting professionals and educators in their design of effective visual learning in education.

scholarly journals The Current Status of Health Promotion Lifestyle and Its Related Factors in Chinese Residents

2021 ◽  
Author(s):  
Qianqian Liu ◽  
Shusheng Huang ◽  
Xiaoyuan Qu ◽  
Aitian Yin
Keyword(s):  
Health Promotion ◽  
Logistic Regression ◽  
Regression Model ◽  
Behavioral Intention ◽  
Logistic Regression Model ◽  
Pearson Correlation ◽  
Current Status ◽  
Related Factors ◽  
Affective Factors ◽  
Factors Influencing

Abstract Objectives: This study aimed to explore the current status of Chinese residents' health promotion lifestyle and its influencing factors, especially explore how health attitudes affect health promotion lifestyle, thus can make targeted recommendations for health promotion in China and similar areas.Study design: This study was based on a household survey of 1769 adults aged 18 and over from Shandong Province of China conducted in 2018.Methods: A cross-sectional, face-to-face survey design was used. The between-group measured data were compared by One-way ANOVA or t-tests. The correlation between the health attitude and health promotion lifestyle was examined by Pearson correlation. Logistic regression model was used to examine the related factors influencing Chinese residents’ health promotion lifestyle.Results: The health promotion lifestyle of residents in Chinese residents was not good. Significant differences existed in health promotion lifestyle among different genders, education levels, income levels, marital status, and health attitude (Ps <0.001). Multivariable Logistic regression model found that gender, education level, annual family per capita income, affection and behavioral intention in health attitude were key factors influencing Chinese residents’ health promotion lifestyle (Ps<0.001). Conclusions: Individual health responsibilities need to be further strengthened. More affective factors and operable measures should be added to enhance health affection and health behavioral intention, so as to enhance health promotion lifestyle.

Sign in / Sign up

Export Citation Format

Share Document