Research Supervisor Connect

Language Testing and Assessment

Summary

Aek completed his PhD in Applied Linguistics from the University of Melbourne in 2005. His PhD thesis examined the relationships of state-trait cognitive, metacognitive and affective strategy use to EFL reading comprehension test performance through the use of a structural equation modeling approach.

Supervisor

Associate Professor Aek Phakiti.

Research location

Sydney School of Education and Social Work

Synopsis

Research interests

Teaching English to Speakers of Other Languages

  • Language testing and assessment
  • Second language acquisition
  • Research methods in language studies and applied linguistics

Keywords: strategic competence, metacognition, appraisal calibration, second language reading, language testing and assessment, second language acquisition, research methods, TESOL

Additional information

1. If you are interested in this research opportunity, you are encouraged to email the potential supervisor directly.  To find their email address, follow the link provided to their profile page. 

When contacting them, you should describe your academic educational background and research experience, and include an academic transcript and CV (resume). You should also include a research proposal (1500-2000 words); refer to How to write a research proposal for guidance. You should explain why you want to undertake a PhD and how you believe your research topic aligns with the supervisor’s own research. You may be asked to supply a sample of written work.

2. Your potential supervisor may offer you advice on developing your research proposal before you submit your application. You will need to provide a written statement from your potential supervisor that they have agreed to supervise your project.

3. If you would like general advice in your subject area before submitting an application, contact an academic advisor listed here: https://www.sydney.edu.au/arts/study/postgraduate-research/postgraduate-research-contact.html

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Opportunity ID

The opportunity ID for this research opportunity is 3376