Sources of unwillingness to communicate in EFL language classrooms.

Slides:



Advertisements
Similar presentations
Between commodification and social integration An investigation of central concepts of foreign language education Stephan Breidbach Humboldt-Universität,
Advertisements

Cross Cultural Research
Comparing Two Means.
CAUSAL-COMPARATIVE RESEARCH LIYANA BT AHMAD AFIP
Lesson 10: Linear Regression and Correlation
Willingness to Communicate in the Second Language: Proximal and Distal Influences Peter D. MacIntyre University College of Cape Breton.
Regional Weather Tracking Unit Portfolio Presentation Courtney Nielsen.
Teaching EFL Writing and Reading Interactively James Oladejo Department of English National Kaohsiung Normal University.
1 WELL-BEING AND ADJUSTMENT OF SPONSORED AGING IMMIGRANTS Shireen Surood, PhD Supervisor, Research & Evaluation Information & Evaluation Services Addiction.
Chapter 9 Principles of Analysis and Interpretation.
An Introduction By:
S.İpek KURU-GÖNEN Anadolu University, TURKEY
How Does Ability to Speak English Affect Earnings?
Chapter 9: Introduction to the t statistic
Enjoyability of English Language Learning from Iranian EFL Learners' Perspective.
Educational Psychology Draw and discuss the significant aspects of the model of the teaching/learning process presented in class (or discussed in one of.
The Impact of On-line Teaching Practices On Young EFL Learners' Instruction Dr. Trisevgeni Liontou RHODES MAY
University of Prishtina Faculty of Education Kosovo University of Prishtina Faculty of Education Kosovo Paper research: COOPERATION OF PARENTS IN PUBLIC.
Correlation and Linear Regression
THE EFFECTS OF GENDER ON COMMUNICATION STRATEGIES OF VIETNAMESE EFL LEARNERS PRESENTER: ĐINH NGỌC HẠNH People’s Police College.
How Computer Mediated Tasks Increase Willingness to Communicate in the Face-to-Face Classroom Daniel Forman Department of Bicultural-Bilingual Studies.
Fundamentals of Data Analysis Lecture 9 Management of data sets and improving the precision of measurement.
Next Colin Clarke-Hill and Ismo Kuhanen 1 Analysing Quantitative Data 1 Forming the Hypothesis Inferential Methods - an overview Research Methods Analysing.
Measures of central tendency are statistics that express the most typical or average scores in a distribution These measures are: The Mode The Median.
Managerial Economics Demand Estimation & Forecasting.
C M Clarke-Hill1 Analysing Quantitative Data Forming the Hypothesis Inferential Methods - an overview Research Methods.
Presenter: Kuo, Szu-Wei
Analysis of Variance (One Factor). ANOVA Analysis of Variance Tests whether differences exist among population means categorized by only one factor or.
Taiwan EFL Learners’ Pronunciation Strategies in Two Learning Contexts NA2C0003 傅學琳.
Experimental Research Methods in Language Learning Chapter 10 Inferential Statistics.
Chapter Twelve The Two-Sample t-Test. Copyright © Houghton Mifflin Company. All rights reserved.Chapter is the mean of the first sample is the.
The Effect of Motivational Orientations on Language Learning Strategies: Turkish EFL Learners as a Case Study Kader Bas, University of Klagenfurt, Austria.
Developing reading skills and motivation through mobile phones Monika Habjanec, Polytechnic Croatian Zagorje Krapina Jasminka Pernjek, High school Krapina.
Surveying instructor and learner attitudes toward e-learning Presenter: Jenny Tseng Professor: Ming-Puu Chen Date: April 12, 2008 Liaw, S., Huang, H.,
Computer-assisted language learning Chapelle, C. A. (2001). Computer-assisted language learning. In C. A. Chapelle (Ed.), Computer applications in second.
Utilizing Small Groups in Large ESL Classes Dr. Bruce Kreutzer International University, HCMC.
Scientific Methodology: The Hypothetico-Deductive Approach, the Test of Hypothesis, and Null Hypotheses BIOL January 2016.
Judit Kormos and Kata Csizér
Principal Component Analysis
Chapter 9: Introduction to the t statistic. The t Statistic The t statistic allows researchers to use sample data to test hypotheses about an unknown.
ชื่อผลงานวิจัย Code-switching from English language to Thai language in EFL (English as a Foreign Language) Classrooms ชื่อผู้วิจัยนางสาวศิริวรรณ ศรีแดง.
Adviser: Associ. Prof. Dr. Eva Salazar-Liu Presenter: Nai-yi, Chang 張乃懿 Student ID:
Extension: How could researchers use a more powerful measure of analysis? Why do you think that researchers do not just rely on descriptive statistics.
Writing Methodology Section (Quantitative Research)
KUMUTHA RAMAN P62352 Successful English Language Learning Inventory (SELL-In)
Inferential Statistics Assoc. Prof. Dr. Şehnaz Şahinkarakaş.
Author: Zhenhui Rao Student: 范明麗 Olivia I D:
Bivariate Association. Introduction This chapter is about measures of association This chapter is about measures of association These are designed to.
Chapter 12 REGRESSION DIAGNOSTICS AND CANONICAL CORRELATION.
Predicting Brain Size Samantha Stanley Jasmine Dumas Christopher Lee.
Inferential Statistics
Chapter 8: Estimating with Confidence
Chapter 8: Estimating with Confidence
2nd Conference on New Trends in English Language Teaching and Testing Ardabil, August 28, 2017 An investigation into attribution of failure-oriented.
Abstract and Introduction
Computer Assisted Language Learning Literacy
Inferential statistics,
Master Project: A Study of Levels of Autonomy of Students at Santirat Wittayalai School Advisor: Jutarat Vibulphol, ph.D. Presenter: Miss Shi Xiaowei.
Chapter 8: Estimating with Confidence
Chapter 8: Estimating with Confidence
Chapter 8: Estimating with Confidence
Chapter 8: Estimating with Confidence
Chapter 8: Estimating with Confidence
Chapter 8: Estimating with Confidence
Chapter 8: Estimating with Confidence
Chapter 8: Estimating with Confidence
Chapter 8: Estimating with Confidence
Chapter 8: Estimating with Confidence
Chapter 8: Estimating with Confidence
WrItIng Methodology SectIon (QuantItatIve Research)
Presentation transcript:

Sources of unwillingness to communicate in EFL language classrooms

This study investigated sources of learners’ unwillingness to communicate in EFL language classrooms. A group of 60 Iranian EFL learners participated cooperatively and voluntarily in different phases of the study. By giving them questionnaires, the most influential factors and sources of unwillingness to communicate in classrooms were determined. Proficiency and anxiety were singled out as the most important reasons for unwillingness to communicate. In addition, the other factors such as the type of feedback they received, situational variables and topic familiarity were also mentioned as influential factors.

The willingness to communicate (WTC) can be conceptualized as a readiness to speak in the L2 at a particular moment with a specific person, and as such, is the final psychological step to the initiation of L2 communication (MacIntyre, 2007). WTC can be conceptualized to reflect individual differences in a stable disposition toward communication, or vary from situation to situation, and even moment to moment (MacIntyre et al., 1998; Saint Le´ger and Storch, 2009). Although many of the variables that interact to predict L2 communication (see Do¨rnyei, 2005) change with the time frame being studied, in this study we are adopting a trait-like approach, similar to McCroskey’s original work with native language communication (see McCroskey and Richmond, 1991).

METHODOLOGY The participants of this study are Iranian EFL high school learners of English at private institutes. 60 students were chosen as representatives of a larger population of nearly 500 students. Sex is not taken into accounts; for this there are both sexes among the samples.

Two questionnaires were distributed among 150 EFL students. Initially, open-ended Questions were given to students in order to express their reasons for unwillingness to communicate in classrooms in a relax atmosphere. Then, given answers and reasons were categorized from the most frequent and common one to the least. After that, based on those responses and reasons a close-ended one was distributed among them. Beside the reasons set forth by the participants, so many other factors referred to the topic were also added to the closed-questionnaire.

Data analysis To show any normal or abnormal results of the data Kolmogrov smear Nvf was used. Because the Sig = α = 0.05 is greater than the normal, the results of the data analysis are accepted and we can use parametric tests. The correlation between the dependent variable (Unwillingness to communicate in Language classrooms) and the independent variables (factor 6) was calculated and it was equal to 0.982, which indicates a strong relation between the dependent variable and six independent variables. All six factors had a Sig = α = 0.05 which is smaller than critical, thus all six factors were significant. According to the results, the last factor has had most effect on the dependent variable. Thereafter the first and fourth factor in the last category had crucial effects on the dependent variable

RESULTS AND INTERPRETATIONS As it was shown in the data analysis, all 6 factors - proficiency, lack of confidence, feedback, topic familiarity, personal affect and situational variables - have had important roles in students’ unwillingness to communicate in classroom. Proficiency which is defined as knowledge of language has had a greater effect. The other factors have had important effects on students’ unwillingness to communicate, however, anxiety and personal affect can be considered as the most important ones in students’ unwillingness to communicate in EFL classrooms.