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LN5544: ADVANCED RESEARCH METHODS IN APPLIED LINGUISTICS (2023-2024)

Last modified: 31 Jul 2023 11:38


Course Overview

This course moves beyond the core research designs, methodologies, and approaches to data analysis previously covered in the MSc TESOL programme and aims to give students more extensive knowledge and experience with advanced research techniques in Applied Linguistics. Geared towards those interested in pursuing a postgraduate degree or seeking a career in research, this course covers a range of quantitative, qualitative, and mixed method research designs, data collection strategies, and data analysis approaches, addressing these aspects in both theory and practice.

Course Details

Study Type Postgraduate Level 5
Term Second Term Credit Points 15 credits (7.5 ECTS credits)
Campus Aberdeen Sustained Study No
Co-ordinators
  • Dr Agni Connor
  • Dr Vincent Greenier

What courses & programmes must have been taken before this course?

  • Either MSc Tesol or Master Of Science In Tesol

What other courses must be taken with this course?

None.

What courses cannot be taken with this course?

None.

Are there a limited number of places available?

No

Course Description

For students potentially interested in continuing their studies, one of the major criteria that both scholarship granting agencies and universities consider is how well prepared a student is to undertake research and, hence, to successfully complete the doctoral journey. In this course, students will learn the advanced research skills that will better prepare them for a postgraduate by research (PGR) programme, a research-oriented career, and/or for publishing in academic journals. They will learn how to conduct research using a broader repertoire of approaches, designs, and data analysis tools, and how to apply these in practice. In addition to providing students with opportunities for the practical application of qualitative, quantitative, and mixed research methods in the field of Applied Linguistics, it will also guide them on how to use data management software (e.g., SPSS, R, NVivo, etc.), code and process data effectively, and attend to ethical considerations in data collection and analysis.

The seminars for this course will be practice-oriented with a focus on applying different research methods through hands-on, collaborative sessions where students will have the opportunity to discuss and explore different research approaches and data analysis software. Seminars will also provide guidance on how to compose a research proposal for postgraduate study, how to write scholarship and grant applications, and how to structure a research paper for publication.


Contact Teaching Time

Information on contact teaching time is available from the course guide.

Teaching Breakdown

More Information about Week Numbers


Details, including assessments, may be subject to change until 30 August 2024 for 1st term courses and 20 December 2024 for 2nd term courses.

Summative Assessments

Essay

Assessment Type Summative Weighting 50
Assessment Weeks 45 Feedback Weeks 47

Look up Week Numbers

Feedback

Written feedback provided on Turnitin by course coordinator/ instructor (+ moderator)

Word Count 2000
Learning Outcomes
Knowledge LevelThinking SkillOutcome
ConceptualCreateStudents will learn to design, compose, and present on mixed method research.
ConceptualUnderstandStudents will be able to understand and apply various quantitative research methods
FactualApplyStudents will learn to use a range of different data types in research
ProceduralAnalyseStudents will understand and use various coding procedures and gain an understanding of how to use qualitative data analysis software
ProceduralApplyStudents will learn to use advanced data manipulation techniques
ProceduralApplyStudents will be able to recognize and apply more advanced qualitative research approaches
ProceduralCreateStudents will learn how to write a research proposal and how to structure an essay for publication in academic journals
ReflectionEvaluateStudents will learn to be reflective and to think about their biases and assumptions in data collection and analysis
ReflectionEvaluateStudents will be more confident and capable in applying various and more advanced research strategies/approaches

Exam - Multiple Choice Questions

Assessment Type Summative Weighting 50
Assessment Weeks 2 Feedback Weeks

Look up Week Numbers

Feedback

MCQ Feedback provided online.

MCQ Feedback: After test (5th Class)

Learning Outcomes
Knowledge LevelThinking SkillOutcome
ConceptualCreateStudents will learn to design, compose, and present on mixed method research.
ConceptualUnderstandStudents will be able to understand and apply various quantitative research methods
FactualApplyStudents will learn to use a range of different data types in research
ProceduralAnalyseStudents will understand and use various coding procedures and gain an understanding of how to use qualitative data analysis software
ProceduralApplyStudents will learn to use advanced data manipulation techniques
ProceduralApplyStudents will be able to recognize and apply more advanced qualitative research approaches
ProceduralCreateStudents will learn how to write a research proposal and how to structure an essay for publication in academic journals
ReflectionEvaluateStudents will be more confident and capable in applying various and more advanced research strategies/approaches
ReflectionEvaluateStudents will learn to be reflective and to think about their biases and assumptions in data collection and analysis

Formative Assessment

There are no assessments for this course.

Resit Assessments

Essay

Assessment Type Summative Weighting 100
Assessment Weeks Feedback Weeks

Look up Week Numbers

Feedback

Feedback will be provided by course coordinator via Turnitin

Word Count 4000
Learning Outcomes
Knowledge LevelThinking SkillOutcome
Sorry, we don't have this information available just now. Please check the course guide on MyAberdeen or with the Course Coordinator

Course Learning Outcomes

Knowledge LevelThinking SkillOutcome
ConceptualUnderstandStudents will be able to understand and apply various quantitative research methods
ProceduralApplyStudents will learn to use advanced data manipulation techniques
ProceduralApplyStudents will be able to recognize and apply more advanced qualitative research approaches
ProceduralAnalyseStudents will understand and use various coding procedures and gain an understanding of how to use qualitative data analysis software
ReflectionEvaluateStudents will be more confident and capable in applying various and more advanced research strategies/approaches
FactualApplyStudents will learn to use a range of different data types in research
ConceptualCreateStudents will learn to design, compose, and present on mixed method research.
ProceduralCreateStudents will learn how to write a research proposal and how to structure an essay for publication in academic journals
ReflectionEvaluateStudents will learn to be reflective and to think about their biases and assumptions in data collection and analysis

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