EdUHK INT6067: Research Methods and Inquiry — course overview with AskSia
EdUHK INT6067 — Develop a research proposal for empirical issues in AI and educational technology, connecting a literature review, problem statement and appropriate research design and methods.
Try the original practice example, then use your permitted course materials to check each step with Sia.
Sharpen your argument
A fictional researcher interviews five volunteers about an AI tutor and claims it improved all students’ test scores. What is missing? Choose the strongest starting point.
Interviews can explore experiences, but they do not measure a test-score effect across all students.
Alternatively, narrow the question to how these volunteers describe their experience. Explain recruitment and the limits of transferability.
The weaker choice: A feasible proposal aligns question, data and analysis. Avoid choosing a method because it sounds advanced if it cannot answer the question. watch this!
Overview
What INT6067 is, and where it sits
Develop a research proposal for empirical issues in AI and educational technology, connecting a literature review, problem statement and appropriate research design and methods.
The public programme description gives no assessment split; the course-outline PDF could not be retrieved.
Public source version: Undated current MSc programme listing. Study advice and practice below are AskSia-authored.
Always treat your own course outline and the exam timetable as authoritative.
Difficulty & time commitment
Is INT6067 hard, and how much time does it take?
A feasible proposal aligns question, data and analysis. Avoid choosing a method because it sounds advanced if it cannot answer the question.
Is this course for you
Who tends to do well, and who tends to struggle
You will likely do well if
- Write a question with a defined population and outcome.
You may struggle if
- A feasible proposal aligns question, data and analysis. Avoid choosing a method because it sounds advanced if it cannot answer the question.
- Match the evidence and analysis to the claim you want to make.
Syllabus
The 3 topics, topic by topic
Topics from the public source. Their order is a content map, not an official weekly timetable or published exam weighting.
T1 · Research design and methods
Public course descriptionT2 · Literature review and problem statement
Public course descriptionT3 · Empirical inquiry in AI and educational technology
Public course descriptionAssessment
How this course is assessed
A component-by-component weighting breakdown is not published for this course. Rather than estimate one, we publish only what the course itself states. Check your current course outline on Moodle for the exact percentages.
- The public programme description gives no assessment split; the course-outline PDF could not be retrieved.
How to actually pass it
A weekly rhythm, two checklists, and the traps to avoid
The course rewards consistency over cramming, and practice over re-reading. Here is the loop that works, then what to have nailed before each exam.
The weekly loop
Before the mid-semester checklist
- Check the current source version and task brief.
- Explain the main concept without copying the wording.
Before the final heaviest topics
- Review your assumptions and evidence.
- Check the current submission and permitted-use rules.
The mistakes that cost marks
Skipping the assumptions. A feasible proposal aligns question, data and analysis. Avoid choosing a method because it sounds advanced if it cannot answer the question.
Formula & concept sheet
The vocabulary and formulas you must own
- Research design
- The plan linking a question to evidence and analysis.
- Confounder
- A factor that may affect both an exposure and an outcome.
- Literature review
- A reasoned synthesis of relevant research.
Where it fits
Prerequisites, related courses & why it matters
No prerequisite statement obtained from the public source used here.
Your INT6067 study toolkit
Study the course with Sia, not just read about it
Use your permitted course notes with these study tools. Follow your course’s rules for AI and assessed work.
FAQ
Frequently asked questions
What does INT6067 cover?
Develop a research proposal for empirical issues in AI and educational technology, connecting a literature review, problem statement and appropriate research design and methods.
What makes INT6067 challenging?
A feasible proposal aligns question, data and analysis. Avoid choosing a method because it sounds advanced if it cannot answer the question. This is AskSia’s editorial analysis, not a university difficulty rating.
How is the course assessed?
Course-level assessment percentages were not obtained from the public source. The public programme description gives no assessment split; the course-outline PDF could not be retrieved.
What should I do before the course starts?
Write a question with a defined population and outcome. Then check the current outline for required preparation, readings and deadlines.
How can I use AskSia for this course?
Open the linked AskSia course study guide to explore its available resources. Use your permitted notes to practise explanations and check your own reasoning; follow the current course rules for AI and assessed work.
Study INT6067 with Sia
Practise explaining the course concepts and check your reasoning. Confirm assessed-work requirements in your current outline.
Start studying with Sia
