Theme: From Problem Identification to Aim, Objectives, and Hypotheses
Duration: 1 week (self-paced)
Level: MA / MSc / PhD Preparation
Format: Fully self-contained lesson for independent study
π· 3.1 Purpose of This Module
This module teaches you how to move from a general topic to a clearly defined research problem, then break it into a focused research question, aligned aim, SMART objectives, and (where appropriate) hypotheses.
By the end, you will be able to:
- Formulate clear, answerable, and meaningful research questions
- Distinguish between research topics, problems, and questions
- Develop aligned research aims and objectives
- Formulate testable hypotheses (for quantitative research)
π§ 3.2 From Topic β Problem β Question
β A. Topic
A broad area of interest, issue, or theme.
Example Topics:
- Digital education
- Urban sustainability
- Mental health in workplaces
β B. Research Problem
A specific issue, gap, or unresolved question in the topic that needs scholarly inquiry.
Example:
- Topic: Digital education
- Problem: βDespite wide adoption of AI tools in learning, their effect on critical thinking is not well understood.β
β C. Research Question
A clearly framed, focused question that guides the entire research process.
Good questions are:
- Answerable (with available data)
- Clear (focused, not vague)
- Researchable (not opinion-based or too philosophical)
- Relevant (addresses a real-world or academic issue)
Examples:
- βHow do AI writing tools affect the critical thinking development of university students?β
- βWhat are the barriers to climate-resilient urban planning in Sub-Saharan Africa?β
- βHow do nurses experience burnout during pandemic conditions?β
π― 3.3 Research Aim and Objectives
β Research Aim
A broad statement of intentβwhat you hope to achieve overall.
Examples:
- βTo explore the impact of AI-assisted writing tools on student learning outcomes.β
- βTo evaluate the effectiveness of a hybrid work model on employee well-being.β
β Research Objectives
More specific, measurable steps that break down the aim into tasks.
Use the SMART model:
| SMART | Meaning |
|---|---|
| S | Specific |
| M | Measurable |
| A | Achievable |
| R | Relevant |
| T | Time-bound |
Examples (for the AI writing tool topic):
- To examine how frequently students use AI tools in academic writing over a 4-month period.
- To compare perceived critical thinking ability between AI users and non-users.
- To analyse studentsβ attitudes towards AI feedback vs. tutor feedback.
π¬ 3.4 Hypotheses (For Quantitative Research)
A hypothesis is a testable prediction about the relationship between variables.
β Types of Hypotheses:
- Null Hypothesis (Hβ): Assumes no relationship
- Alternative Hypothesis (Hβ): Predicts a relationship exists
Example:
- Research Question: βDoes daily mindfulness practice reduce stress among postgraduate students?β
- Hβ: Daily mindfulness has no effect on stress levels.
- Hβ: Daily mindfulness reduces stress levels.
π 3.5 Types of Research Questions
| Type | Description | Example |
|---|---|---|
| Descriptive | Describes characteristics or trends | βWhat proportion of UK students use mental health apps weekly?β |
| Comparative | Compares two or more groups | βHow do stress levels differ between online and in-person students?β |
| Causal/Explanatory | Examines cause and effect | βDoes using an AI tutor increase student grades?β |
| Exploratory | Investigates a new or unknown topic | βHow do students feel about AI being used to detect plagiarism?β |
| Evaluative | Assesses the effectiveness of something | βIs the new flexible work policy reducing staff turnover?β |
π 3.6 Self-Learning Task Set (Independent Exercises)
βοΈ TASK 1: From Topic to Question
Choose one general topic that interests you. Then, complete the steps:
- Write a brief description of the issue (3β4 sentences)
- Identify a specific research problem
- Frame a main research question
Examples:
- Topic: Mental health in postgraduate students
- Problem: Increasing stress levels but little research on how AI tools help
- Research Question: βHow do AI-supported wellness apps affect stress management among MA students?β
π§ TASK 2: Write Research Aim and Objectives
Using your question from Task 1:
- Draft one broad aim
- Create 3 SMART objectives that would help you achieve this aim
Example:
- Aim: To assess the role of AI-supported wellness apps in managing postgraduate stress.
- Objectives:
- To measure frequency of wellness app usage over 3 months
- To compare self-reported stress levels of users and non-users
- To explore user satisfaction with app-based coping strategies
π¬ TASK 3: Hypothesis Construction (if using quantitative method)
Based on your question, write:
- Null hypothesis (Hβ)
- Alternative hypothesis (Hβ)
Example:
- Hβ: Using AI-supported wellness apps does not reduce postgraduate stress.
- Hβ: Using AI-supported wellness apps reduces postgraduate stress.
π TASK 4: Question Quality Test
Evaluate your own research question using the checklist:
| Question Test | Yes/No |
|---|---|
| Is it clear and specific? | β |
| Is it researchable (not too abstract)? | β |
| Is it ethically doable? | β |
| Is it relevant to society or academia? | β |
| Is it feasible in terms of time/resources? | β |
π 3.7 Summary of Key Takeaways
- A research topic is broad; a question is specific and focused.
- A good research question is clear, researchable, and relevant.
- Your aim defines your studyβs purpose; objectives break that into tasks.
- If using quantitative research, formulate hypotheses to test.
- Every component (question, aim, objectives, hypothesis) must align.
β End-of-Module Self-Evaluation Checklist
| Concept | Yes / No |
|---|---|
| I can explain the difference between topic, problem, and question | β |
| I have written my own clear, researchable question | β |
| I developed an aim and three SMART objectives | β |
| I can write null and alternative hypotheses | β |
| I understand the different types of research questions | β |
