教學大綱 Syllabus

科目名稱：質化研究方法

Course Name: Qualitative Research Methods
  • 學年學期：113-1 Fall Semester, 2024
  • 科目代碼：161895001 Course No.161895001

修別：選

Type of Credit: Elective

3.0

學分數

Credit(s)

8

預收人數

Number of Students

課程資料Course Details
  • 開課單位：華文碩一、華文碩二 Course Department:Master's Program in Teaching Chinese as a Second Language/M/1&2
  • 授課老師：黃怡萍 Instructor: HUANG YI-PING
  • 先修科目：無Prerequisite(N/A)
  • 上課時間：四567 Session: thu14-17

課程簡介Course Description

Course Description

This course aims to develop students’ habits of mind as qualitative researchers. The topics covered include:

  1. Characteristics of qualitative research
  2. Paradigms underpinning qualitative research
  3. Qualitative research designs
  4. Components of designing a qualitative study (a pre-study task)
  5. Data collection methods
  6. Data analysis and coding
  7. Writing up a qualitative research report
  8. Trustworthiness
  9. Ethics & AI

 

These concepts will be taught through a project-based approach, contextualizing abstract concepts by connecting them to practice and conducting research projects of personal interest.

核心能力分析圖 Core Competence Analysis Chart

能力項目說明

    課程目標與學習成效Course Objectives & Learning Outcomes

    By the end of the course, students are expected to

    1. understand the basics of qualitative research methods and
    2. conduct, write, present, and critique qualitative research articles/projects.

    每周課程進度與作業要求 Course Schedule & Requirements

    教學週次Course Week 彈性補充教學週次Flexible Supplemental Instruction Week 彈性補充教學類別Flexible Supplemental Instruction Type

    Schedule (Subject to change)

    W

    Time

    Topics

    Required Readings

    Assignments

     

     

    1

     

     

    09/12

    Introduction

    -- differences between qualitative, quantitative, & mixed methods

    -- What are the characteristics of qualitative research?

    QR Chapter 1

     

     

     

    2

     

     

    09/19

    Foundations

    --Epistemological and ontological aspects

     

    Pre-study Tasks (I)

    --How to review literature?

    --How to write research questions & problems?

     

    QR Chapter 2

     

    Creswell, 2016: Chapter 8,

    11, 12 (writing)

     

     

     

    3

     

     

    09/26

    Pre-study Tasks (II)

    --How to write an introduction?

    --How to select a research site and participants? (sampling)

    Presentation (1): A research topic, research statement, and research questions (references)

    Creswell, 2016: Chapter 8,

    11, 12 (writing)

     

    Glense (2) (p.27-p.50) Sampling methods

    Deadline #1: 09/24 (Tue)

     

    4

     

    10/03

    Paradigms and Approaches (1): Case Study

    --Consent form & ethical issues

    Paradigms and Approaches (2): Narrative Inquiry

    QR Chapter 4; Hafner, 2015

    QR Chapter 3; Tsui, 2007

     

    5

    10/10

    No Class

     

     

     

    6

     

    10/17

    Paradigms and Approaches (3): Ethnography Paradigms and Approaches (4): Action Research Presentation (2): A brief proposal (Introduction, literature review + methods)

    QR Chapter 5; Chang, 2011

     

    Nunan; Calvert & Sheen, 2015

    Deadline #1: ppt 10/15 (Tue)

     

     

    7

     

     

    10/24

    Data Collection (1): Interview

    --How to conduct an individual interview?

    --How to ask questions to gain rich data?

    --How to probe?

    --How to respond?

    QR Chapter 8; Seidman, 2006

    Carspecken (10:154-162)

    **Receive the instructor’s permission to enter the

    research site.

     

     

    8

     

     

    10/31

    Data Collection (2): Observation

    --Why and when do we need to conduct observations?

    --How to observe?

    --How to take field notes?

    Practice: Interview questions & practice

    QR Chapter 9

    Carspecken (3: 44-54)

    Deadline #2: 10/31 (Thu.)

     

    9

     

    11/07

    Data Collection (3): AI tools

    Data Collection (4): Validity threats & requirements

    Swaminathan & Mulvihill, 2018

     

     

    10

     

    11/14

    Data Analysis (1): Preliminary Reconstructive Analysis

    --Initial meaning reconstruction & meaning fields

    QR Chapter 13

    Carspecken (6:93-120)

     

     

    11

     

    11/21

    Data Analysis (2): Secondary Reconstructive Analysis & Other Types of Analysis

    --Power and role analysis

    --Analyzing classroom interaction

    Carspecken (7:128-139)

    Deadline #3: 11/19

     

    12

     

    11/29

    Data Analysis (3): Coding (a)

    --Overview of coding

    --How to develop a low-level and a high-level code?

    Carspecken (9:146-153)

    Charmaz (3: 42-71) TBA

     
     

     

     

    --How to develop initial, focused, and axial codes?

    --AI tools

     

     

     

    13

     

    12/05

    Data Analysis (4): Coding (b)

    --Practice

    --How to conduct peer review on coding?

     

     

     

    14

     

    12/12

    Writing: Proposal & Thesis

    --How to write a qualitative research proposal?

    --How to write a qualitative research thesis?

    Student samples: TBA

     

     

    15

     

    12/19

    No Class

     

    Deadline #4: 12/19 (Thu.)

    Coding scheme

     

    16

     

    12/27

    Final Project Presentation

    --Presentation and discussion

    --How to write an abstract

    --Wrapping up

     

    Deadline #5: 12/26 (Wed.)

    17

    01/02

    No Class (ETRA 11/22-11/23)

     

    Deadline #5: 01/05 (Mon.)

    18

    01/09

    No Class (ETRA 11/22-11/23)

     

     

    授課方式Teaching Approach

    30%

    講述 Lecture

    30%

    討論 Discussion

    10%

    小組活動 Group activity

    0%

    數位學習 E-learning

    30%

    其他： Others: Conduct research

    評量工具與策略、評分標準成效Evaluation Criteria

    Course Requirements

    1. Class Attendance and Participation (15%):
    • We highly value your attendance, participation, and contribution. So, please notify me if you will be absent from class. Also, please attend class ON TIME. Students entering class later than 30 minutes after the bell rings are counted as absent. You will NOT pass the course if you are absent over THREE times (with or without any valid excuses).
    • Peer debriefing for the whole research process is required (submit a document to prove the peer debriefing process).
    1. Research Project (85%): You must conduct an individual or pair research project of your interests. A series of assignments are designed as scaffoldings to help you accomplish this goal:

     

    Assignments

    Page limits

    Percentage

    Participation

    Participation & in-class assignments

     

    20%

    Reflections (e.g., ETRA, guest speaker, etc.)

     

    5%

    Pre-study

    #1 A brief research proposal (with a reference list) (written) + oral presentations

    4-6 pages

    12%

    Data Collection

    #2 An interview protocol (or other data collection methods)

    No limits

    10%

    Data Analysis & Writing

    #3 Reconstructive analysis

    1 example per practice

    10%

    #4 A coding scheme

    No limits

    10%

    #5 Final research project: presentation (ppt.) + paper (written) + peer debriefing (proof)

    Oral: 15+5 minutes

    Written: 2000 words

    33%

    指定/參考書目Textbook & References

    Recommended textbooks (Class reading packets will be available on Moodle.)

    1. Richards, K. (2003). Qualitative inquiry in TESOL. NY: Palgrave Macmillam.
    2. Heigham, J., & Croker, R. A. (2009). Qualitative research in applied linguistics. NY: Palgrave. (QR)
    3. Nunan, D., & Bailey, K. M. (2009). Exploring second language classroom research: A comprehensive guide. New York: Heinle. Glense, C. (2011). Becoming qualitative researchers: An introduction (4th edition). NY: Longman.
    4. Carspecken, P. F. (1996). Critical ethnography in educational research: A theoretical and practical guide. NY: Routledge.
    5. Lincoln, Y. S., & Guba, E. G. (1985). Naturalistic inquiry. Beverly Hills, CA: Sage.
    6. Swaminathan, R., & Mulvihill T. M. (2018). Teaching qualitative research: Strategies for engaging emerging scholars. NY: Guilford.
    7. Creswell, J. W. (2016). 30 essential skills for the qualitative research. CA: Sage.
    8. Creswell, J. W., & Poth, C. N. (2018). Qualitative inquiry and research design (4th ed.). CA: Sage.
    9. Yin, R. K. (2018). Case study research and applications: Design and methods (6th ed.). LA: Sage.

    已申請之圖書館指定參考書目 圖書館指定參考書查詢 |相關處理要點

    維護智慧財產權，務必使用正版書籍。 Respect Copyright.

    課程相關連結Course Related Links

    Important Notes:
1.	No plagiarism is allowed.
2.	All papers, except memos or reflective journals, should be written in APA style (7th).
3.	All papers, including the final term paper, should be single-spaced.
4.	All assignments should be uploaded to “assignments” on Moodle before midnight Tuesday unless indicated otherwise. No late work will be accepted unless an emergency shows otherwise. Notification in advance is expected.
5.	Consider your research project from the first week of class. Consult with the instructor constantly to discuss its progress. Please request my permission before entering a research site or collecting data.
6.	No data obtained from your previous classes, work, or projects can be used unless such a project is extended in some way connected to this class (assignments) and you earn permission from me. (For fairness)
7.	Data collected in this class can be used in other courses when you earn permission from those instructors and notify me. Yet, if you share data with your classmates while conducting a pair research project, you must also earn your partner’s permission to use the data. (For fairness)
8.	Authorized Use of AI: AI tools may be used for brainstorming, research assistance, grammar checking, and citation generation. However, students must critically evaluate and edit AI-generated content to ensure it aligns with their original thought and course requirements. AI-generated content must NOT constitute the majority of any submitted assignment. If a student uses an AI tool to generate initial ideas for a research paper, this must be cited as “Ideas generated with (AI Tool Name).” An appendix with transcripts of your AI chats must be provided, with the changes highlighted.
A.	Academic Integrity: Students must DISCLOSE the use of AI tools in their assignments. A brief statement identifying the tools used and the extent of their application should accompany the submitted work. Plagiarism of AI-generated content is subject to the same academic penalties as plagiarism of human- generated content. Students must ensure that any content derived from AI does not violate principles of academic integrity.
 
B.	Quality and Originality: While AI can assist in the writing process, the development of original ideas, critical thinking, and personal voice remains essential. Writing assignments will be evaluated for their adherence to academic standards and demonstration of these higher-level skills.
C.	Useful links: APA: https://apastyle.apa.org/blog/how-to-cite-chatgpt

    課程附件Course Attachments

    課程進行中，使用智慧型手機、平板等隨身設備 To Use Smart Devices During the Class

    需經教師同意始得使用 Approval

    列印