MEDD8001 Educational Issues and Research
The Complete Study & Assessment Guide · MEDD8001 Overview
- The University of Hong Kong
- First Semester, 2026-27
- Master of Education core course
- Education
- Nine plenary lectures
What this course is actually asking you to do
This is the core research course of a Master of Education programme, taught as nine plenary lectures of two and a half to three hours and five tutorials of two and a half hours run at specialism level.
- Assessed by A research proposal of 2,000 to 2,500 words worth half the mark, a specialism-set task worth thirty per cent, seven online quizzes worth ten per cent and a mandatory academic honesty training course worth ten per cent.
- The skill being tested Matching an educational issue to a research design that could actually settle it, then justifying the choice against the design you rejected.
- Hardest step Scoping a question narrowly enough that one accessible design can answer it inside 2,000 to 2,500 words.
- Where to confirm Weights, the specialism task and submission settings are controlled by your specialism's Moodle course room.
How MEDD8001 is assessed
| Component | Weight | Format |
|---|---|---|
| Online quiz on research methods (during lectures) | 10% | Individual. Seven sets of quizzes covering lectures 2 to 8, each posted after its lecture and completed before the next lecture starts |
| Completion of ILT01 Information Literacy Training: Academic Honesty (online course) | 10% | Individual. Labelled mandatory. Certificate of completion uploaded to the specialism course room by the end of reading week in semester 1 |
| Specialism-specific assessment task (for tutorials) | 30% | Mode of assessment and due date to be decided by each specialism |
| Research proposal | 50% | Individual. 2,000 to 2,500 words including a review of relevant literature, marked on letter grades against five published criteria |
The published course outline lists these four components and the weights total 100 per cent. The academic honesty training is labelled mandatory and carries its ten per cent for completion rather than for performance, and its deadline falls in the middle of the semester rather than at the end. The specialism task is the only component whose form and due date the outline does not fix: it states that both are to be decided by each specialism, which is a published statement rather than a gap in the record. On pass conditions the outline is silent. The word hurdle does not appear in the course materials, no minimum mark is stated, no attendance threshold is set and no late-submission penalty rate is published. Silence is not a rule in either direction, so confirm all three with your specialism teacher or on Moodle.
Assessment structure
Current MEDD8001 dates
| Date | Item | Control |
|---|---|---|
| 17 October 2026 | Academic honesty training certificate due | The course outline gives the due date for the information literacy training component as the end of reading week in semester 1 and prints the date in brackets. |
| 28 December 2026 | Research proposal due | Due date printed in the assessment table of the course outline for this offering. |
Dates are as published in Both dates are printed in the assessment table of the published course outline for this offering. The outline gives no date for the specialism task, stating that it is to be decided by each specialism, and the quizzes have no fixed dates because each one closes when the following lecture begins. Confirm everything against your own specialism course room.. Confirm exact deadlines and submission settings in the live LMS.
What MEDD8001 covers
Eleven chapters follow the published lecture sequence, from the aims of education and the shape of a research problem, through six pairings of an educational issue with the research design used to study it, to significance, ethics and the research proposal itself.
Aims of Education and the Issues They Raise
four families of aim and what each leaves open · equity in process against equality in outcome · five distributive rules and the objection each attracts · why an issue is always relative to an aim02Research as Scientific Inquiry
deductive, inductive and scientific reasoning · what happens, so what, why and how · the seven stages and the five proposal components · construct, variable, hypothesis03Ontology, Epistemology and the Limits of Research
axiology as the choice of problem · ontology as the claim about categories · epistemology as the link between construct and item · positivism against anti-positivism on four rows04Systematic Review and School Effectiveness
five phases of effectiveness research · nine processes of effective schools and three more for challenged communities · the screening funnel and its arithmetic · four families of review challenge05Grounded Theory and Gender in Education
constant comparison as the engine · open, axial and selective coding · six analytic levels with counts on the first three · gaps in expectation rather than in aptitude06Thematic Analysis and Inequality in Education
six phases from reading to reporting · a theme as a claim that could fail · shadow education as a mechanism · what separates a theme from a topic07Quantitative Research and Familial Influences
economic, social and cultural capital and the five transfer paths · probability against non-probability sampling rules · four scales, four validities, one reliability · the anatomy of a quantitative write-up08Experimental Designs and Technology in Learning
control, manipulation and measurement · experimental, control and comparison groups · four validities and ten threats · six controls and what each neutralises · the case against experiment in education09Policy Analysis and Internationalisation
what an international assessment measures and what it does not · three points where a policy idea changes meaning · a Hong Kong subsidy scheme with a date and a mechanism · four analytic traditions10Mixed Methods, Validity and Substantive Significance
five purposes for mixing and three timings · five families of validity threat · what a p-value carries and what it hides · effect size and the better question it allows11Writing the Research Proposal and Research Ethics
the five published criteria and their expectations · the questions each section has to answer · six ethics requirements as design constraints · fabrication, falsification and plagiarism definedIts stated aim is to bring participants to see research as scientific inquiry directed at compelling problems in education.
The lectures pair issues with designs: ability grouping, gender differences in learning, inequality, familial influence, effective and improving schools, technology, and the internationalisation of education, each met with the research design that has been used to investigate it.
Four published objectives run underneath: engage with contemporary educational issues, present research as a scientific method for addressing them, introduce different research designs, and familiarise participants with the aspects of a research proposal.
Three of those four are about matching a question to a design and defending the match, which is the skill nearly every mark in the course is given for.
Aims of Education and the Issues They Raise
The first chapter fixes why anything counts as an educational issue at all.
Four families of aim are set out, intellectual, moral, political and economic, each with a question no evidence settles, and four published accounts of what education even is are placed side by side without ranking.
The chapter then separates equity in process from equality in outcome and lays out five rules for distributing education, from meritocratic equality through radical equality, benefiting the least advantaged, adequacy and maximising excellence, with the standing objection attached to each.
The payoff is practical: an issue is a disagreement about aims wearing the clothes of a disagreement about facts, and saying which aim is at stake tells you what evidence would settle it.
Research as Scientific Inquiry
The second chapter builds the shape of an inquiry.
It separates deductive from inductive reasoning and both from scientific method, then gives the structure that carries the rest of the course: a research problem has three legs, what happens, so what, and why and how, and each leg is answered by different evidence.
From there it works through the seven stages of the research process, the five components of a proposal and what each has to accomplish, and the vocabulary the later chapters assume, construct and its constitutive and operational definitions, continuous, dichotomous and categorical variables, dependent and independent variables, and directional against non-directional hypotheses.
Ontology, Epistemology and the Limits of Research
The third chapter is where the course asks what your data is allowed to mean.
It takes a questionnaire the lecture has just built and criticises it at three levels. Axiology asks which problem was worth investigating, and the lecture is blunt that this is a subjective decision made by the researcher. Ontology asks whether the categories carve the world correctly. Epistemology asks whether a construct keeps a stable meaning between people.
The chapter then sets out the subjective to objective dimension across four separate commitments, ontology, epistemology, human nature and methodology, and closes on why the epistemology of education matters to a teacher, using the debate about whether students can know anything on the basis of what a teacher tells them.
Systematic Review and School Effectiveness
The fourth chapter pairs the question of whether schools matter with the design built to summarise fifty years of answers.
It traces educational effectiveness research through its phases, sets out the nine processes that reviews associate with effective schools plus three more for schools in very socially challenged communities, and turns the field on itself with the markers of an ineffective school at student, classroom and school level.
The design half walks a published review from its aim through database and manual searching, inclusion and exclusion criteria, a six-field coding scheme and a thematic analysis of the studies themselves, with the screening counts kept so that a reader can check the arithmetic.
Grounded Theory and Gender in Education
The fifth chapter takes the question of whether boys or girls learn better and the consequences for aspiration in science and mathematics, and meets it with grounded theory.
Constant comparison is the engine: every new incident is compared with every previous incident already coded the same way, which is why the code scheme is still moving while data is still arriving. Open, axial and selective coding are defined and then shown at work in a published exemplar whose six analytic levels run from open codes through conceptual categories and themes to a delineated theory.
The gender material supplies the reason the design fits: the reported gaps are between measured proficiency and expressed expectation, which is a gap in how students read their own situation.
Thematic Analysis and Inequality in Education
The sixth chapter is built around one Hong Kong case.
Teachers were asked first about their own class and then about tutoring as a social trend, and a substantial group approved of the first while criticising the second. That contradiction was not sought; it caught the researchers' attention during analysis and became the theme.
The chapter uses the case to teach the six phases of thematic analysis and, more importantly, the difference between a theme and a topic: a theme is a claim about what extracts are doing and can turn out to be false, while a topic is a heading that cannot.
Quantitative Research and Familial Influences
The seventh chapter asks what higher-resourced families actually transfer, and answers with three capitals rather than one.
Economic capital is wealth; social capital is networks and the exchanges that run through them; cultural capital is knowledge and disposition, embodied in a person, objectified in possessions or institutionalised in qualifications.
The quantitative half then supplies the machinery: probability and non-probability sampling and the selection rule behind each, the four scales and what arithmetic each permits, four kinds of validity against one idea of reliability, observation as a measurement procedure, and the descriptive statistics the course expects you to read confidently.
Experimental Designs and Technology in Learning
The eighth chapter teaches the only design that can license a causal claim, and then argues against it.
Control of extraneous variables, manipulation of an independent variable and measurement of the outcome are set out, along with the difference between a control group and a comparison group that most student writing collapses. Ten threats to internal validity are named and six controls are paired with them, including the opposite intentions behind building a variable into a design and removing its effect statistically.
The chapter closes with a published argument that experiment has failed repeatedly in education because the confounders it controls away are exactly what educators need to understand.
Policy Analysis and Internationalisation
The ninth chapter follows an idea as it travels: from an international assessment, to a ranking and the commentary around it, to a national policy text, to what a school actually does.
Nothing controversial happens inside those stages and all of it happens between them, which is where a policy analysis intervenes.
Four analytic traditions are introduced, and two Hong Kong cases give the chapter something concrete to work on, a subsidy scheme with a launch date, a mechanism and a published take-up figure, and a comparison that sets the same scheme beside a parallel initiative in another system across four policy dimensions.
Mixed Methods, Validity and Substantive Significance
The tenth chapter is about judgement.
It names five reasons to combine quantitative and qualitative work, triangulation, complementarity, development, initiation and expansion, and three timings that make the combination concurrent, parallel or sequential. It then consolidates validity into five questions and turns to the distinction the course treats as most consequential.
Statistical significance is the likelihood that a difference is an accident of sampling, and that one figure is fed both by how wide the gap is and by how many people were measured. Substantive significance is a question about magnitude, answered by an effect size with its margin for error.
Writing the Research Proposal and Research Ethics
The final chapter covers the work that carries half the mark.
The published task asks for a proposal of 2,000 to 2,500 words with a research question, rationale and context, engagement with a compelling educational issue, a brief literature review, a theoretical framework, a justified methodological approach, methods of data collection and analysis, and references, with draft instruments permitted in an appendix outside the word count.
Five published criteria are printed in the outline appendix and the chapter reads each one as an instruction.
Research ethics is treated as a set of design constraints rather than paperwork: voluntary participation, informed consent, sensitive information, confidentiality, minimal risk and duties to the research community, alongside precise definitions of fabrication, falsification and plagiarism.
Turn one unusable question into three a proposal could defend
- 3Write the what-happens question, describing the phenomenon without explaining it.
- 3Write the so-what question, showing why the phenomenon matters.
- 3Write the why-and-how question, and name the dependent variable.
Key terms
- Educational Issue
- A contested question about schooling that becomes a research problem once it is attached to an aim: the course frames its issues ecologically, across the student, the family, the school, the community and the wider world, and technology.
- Research Design
- The overall plan that decides what evidence a study will produce and what claims that evidence can support, chosen from families including experimental, non-experimental, longitudinal, case study, field research, action research and content analysis.
- Construct
- An abstraction invented or adopted for a research purpose, which has to be given both a constitutive definition saying what it means and an operational definition saying how it will be measured.
- Systematic Review
- A research design in its own right, in which studies are located through stated searches, selected against inclusion and exclusion criteria fixed in advance, coded to a scheme and then analysed, with the counts reported at each stage.
- Constant Comparison
- The rule that drives grounded theory: as you code something, you hold it against everything already coded that way, which is how the properties of a category emerge and why the scheme keeps moving.
- Thematic Analysis
- A six-phase route from a body of qualitative material to a small set of defended patterns, running from familiarisation and initial coding through identifying, reviewing, refining and naming themes to reporting them.
- Family Capital
- Whatever a household holds that it can spend on, or put to work for, its children, existing in economic, social and cultural forms that are usually deployed in combination rather than singly.
- Internal Validity
- The validity of the inference that an observed effect of the treatment on the outcome reflects a causal relationship, threatened by history, maturation, testing, instrumentation, regression, selection, mortality, experimenter and subject effects, and diffusion.
- Effect Size
- A measure of how large a difference between two groups is, reported so that magnitude is not confounded with sample size, which is what lets a reader ask how well something works rather than only whether it works.
- Policy Analysis
- The study of how an educational policy comes to define its problem, what the definition makes thinkable, who is empowered to act on it, and what happens where the text meets a school.
MEDD8001 FAQ
Is there an end-of-semester written paper in this course?
No such paper appears anywhere in the published course outline, and no assessment of that kind is listed. The four assessed components are the online quizzes on research methods worth ten per cent, completion of the academic honesty training worth ten per cent, a specialism-specific task worth thirty per cent, and the research proposal worth fifty per cent, and those weights total one hundred.
The only timed instruments are the seven short online quizzes that follow lectures 2 to 8. Since half your mark sits in a document you write over the semester, the useful planning question is not when to start revising but when to have a defensible research question.
How long is the research proposal and what has to be in it?
Between 2,000 and 2,500 words, with references and appendices excluded from the count.
The published task description asks for appropriate research questions, rationale and context for the study, engagement with compelling educational issues in the field, a brief literature review, a proposed theoretical framework, a proposed methodological approach with its justification, methods of data collection and analysis, and references.
Draft data collection instruments such as an interview protocol or a questionnaire may be included as supplementary material in an appendix, which means a drafted instrument costs you nothing against the limit and evidences the methodology section.
What is the research proposal marked on?
Five criteria are printed in the appendix to the course outline: demonstrating understanding of the task and the key concepts or issues involved, use of appropriate professional or research literature, depth of analysis or critique, structuring and organising the sections of the proposal, and use of appropriate academic and linguistic conventions.
Each criterion carries two or three specific expectations underneath it, and those expectations are where the marks sit. The appendix prints a band key running from Excellent to Unsatisfactory but publishes no description of what each band looks like, so nobody can tell you what separates one band from the next.
When do the online quizzes close?
Each quiz is posted after its lecture and must be completed before the start of the next lecture, which makes the practical deadline a rolling one rather than a set of dates. There are seven sets in total, covering lectures 2 to 8, and marks are awarded for correct responses.
Make-up quizzes are open only to students who can supply documentary proof of a valid reason, such as a prolonged medical certificate, so a missed week is not routinely recoverable.
What is the specialism-specific assessment task?
It carries thirty per cent, and the outline states that both its mode of assessment and its due date are to be decided by each specialism.
That is a published statement rather than missing information: the component exists precisely so that each specialism can design instructional activities and an assessment task that suit its own disciplinary context, on the principle that research in education does its best work inside a setting. Ask your specialism teacher early, because the form varies and so does the timing.
How do I choose a research design for my own project?
Start from the verb in your question. Improve and reduce are treatment verbs and point at an experiment or a quasi-experiment. Predict and is associated with point at non-experimental relational work. Widen or change over time points at a longitudinal design. How do people describe something points at field research such as interviews or grounded theory. What is already known points at a systematic review.
What is this policy doing points at policy analysis. That gives you a candidate; what settles it is whether your setting can support the design, and a proposal that names the design it rejected and says why is doing exactly what the published criteria ask.
Do I need ethical approval, and when should I think about it?
The course covers research ethics as part of its final lecture and treats the requirements as constraints on the design rather than as a form to be filled in afterwards: voluntary participation without penalty for refusing, informed consent covering the nature of the research, its procedures, risks, the right to withdraw and contact details, particular care with sensitive information such as health, ethnicity, sexuality and beliefs, confidentiality through non-identifiable codes or fictional names, and minimal risk with extra protection for vulnerable populations.
Think about them while you are choosing your recruitment route, because some designs cannot be made ethical after the fact. Approval requirements and timelines for your own project are set by the Faculty, so confirm them with your specialism teacher.
What are the tutorials for, and how do they differ from the lectures?
The lectures are plenary and cover educational issues and research designs in general. The five tutorials run at specialism level and exist to connect both to your own discipline: what researchers in your field have focused on, which research designs they commonly use to address those issues, and feedback on your own project ideas from teachers and peers.
The outline also notes that questions the lectures cannot take, because of the number of participants involved, should be followed up with your specialism teacher, which makes the tutorial the place where individual questions about your proposal belong.
How to prepare for the assessments
Pick one question from your own professional setting in the first fortnight and carry it through every lecture. When the systematic review chapter explains inclusion criteria, write yours. When the sampling material arrives, decide which selection rule your school would actually permit. When the ethics material arrives, check whether your recruitment route survives it.
By the time the proposal criteria are in front of you, you will be editing rather than starting, which is the difference between a proposal that reads as designed and one that reads as assembled. Alongside that, do each quiz in the week of its lecture: it is ten per cent of the course for about twenty minutes a week, and it is the cheapest check that you can still recognise a design a week after meeting it.
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