Students & Visitors

Master’s Thesis Supervision & Visiting Scholar Inquiries

I supervise UiO master’s students and consider visiting scholar requests when the project connects closely to literacy, assessment, learning, inequality, AI in education, or quantitative and mixed-methods research.

For master’s students

What I usually supervise

My goal is to help students turn an interesting educational problem into a feasible, well-structured, and methodologically sound thesis. A strong master’s project is carefully bounded, but it should still make a real contribution to the field and could, at least in principle, be developed toward publication.

If I am the only supervisor, I generally prefer to supervise and review theses written in English. I also co-supervise students when a project would benefit from another content expert, methodological expert, or supervisor with closer expertise in the specific topic area.

Literacy & language
Assessment & validity
AI and digital learning
Inequality & multilingual learners
Quantitative analysis
Mixed methods & writing
Research fit

Possible thesis areas

These areas are examples, not a fixed list. The best fit is a project with a clear educational question, feasible data, and a method that matches the question.

Literacy, language, and learning

Reading development, academic vocabulary, comprehension, disciplinary literacy, multilingual learners, reading difficulties, and literacy support in schools.

  • How students develop academic vocabulary or reading comprehension.
  • How teachers support struggling adolescent readers.
  • How reading assessment data can be translated into instructional action.
  • How multilingual learners are represented in literacy assessment and intervention.

Educational assessment and measurement

Tests, surveys, screeners, validity, fairness, item quality, and how assessment results are used by students, teachers, and schools.

  • Fairness and bias in educational assessments.
  • Student profiles based on reading or learning data.
  • Validity evidence for a survey, test, screener, or rubric.
  • How teachers, students, or schools interpret assessment information.

AI, digital tools, and learning

Generative AI, learning analytics, AI-supported feedback, student use of AI tools, and technology-supported learning.

  • How students use generative AI for learning or writing.
  • How teachers understand AI-supported feedback or assessment.
  • Ethical and practical issues in AI-supported education.
  • AI tools for reading support, writing support, or student self-regulation.

Educational inequality and multilingual learners

Socioeconomic, linguistic, and other inequalities in educational outcomes, especially when linked to language, literacy, assessment, or support systems.

  • Differences in access to learning support.
  • Assessment and identification of multilingual learners.
  • Equity implications of digital tools or AI.
  • How schools use data to support students with different needs.

Research methods for educational questions

Projects where the main contribution is methodological: survey design, quantitative analysis, mixed-methods design, interview studies, literature reviews, or evaluation research.

  • Designing and validating a survey instrument.
  • Analyzing existing survey or assessment data.
  • Interview studies connected to teacher practice, student learning, or school leadership.
  • Small-scale mixed-methods studies with a clear research question.
Before contacting me

Prepare a short project idea

It does not need to be perfect, but it should help us decide whether the project is feasible and whether I am the right supervisor.

Working title or topic phrase
Main research question
Why the question matters
Possible data source
Possible method
Timeline and key deadlines
Ethics, permissions, and data protection issues
Whether the thesis will be written in English or Norwegian
Methods & analysis

Analytic tools I most often support

For empirical and quantitative projects, I most often support analytic work done in Stata and R. I can help students think through research design, data structure, variable construction, model choice, tables, interpretation, and how to write up results clearly.

Students do not need to be advanced users before beginning, but projects should be realistic given the student’s current methods background and the thesis timeline.

Stata

Data management, regression models, tables, diagnostics, and transparent analysis workflows.

R

Data wrangling, visualization, reproducible scripts, statistical models, and reporting.

Design

Aligning research questions, measures, samples, and analysis plans.

Writing

Turning analytic choices into clear methods and results sections.

Supervision process

Checklist for a manageable thesis

A useful default thesis structure is introduction, literature review and theoretical framework, methods, results/analysis, and discussion/conclusion. Some projects may need a different structure, but every thesis needs a clear plan.

1

Topic and scope alignment

Clarify the research question, theoretical framing, feasibility, data, methods, and timeline.

2

Formal setup

Complete the supervision contract and clarify expectations, including UiO/IPED's maximum of 40 supervision hours total.

3

Project plan and milestones

Agree on a chapter order, draft deadlines, and meeting cadence.

4

Methods and ethics

Confirm the methodology, data access, and whether SIKT/NSD or other approvals are required. Do not assume a project is exempt.

5

Writing and feedback norms

Agree on what gets feedback, turnaround expectations, and how many revision cycles are realistic.

6

Midway progress check

Check whether the research question is still viable, the scope is controlled, and the data and analysis plan are working.

7

Pre-submission review

Focus on structure, argument coherence, methods clarity, formal requirements, abstract, references, and formatting.

8

Submission and handoff

Complete final checks and make sure expectations for the examination process are clear.

Writing & meetings

Use supervision time well

Feedback is most useful when drafts are submitted with specific questions. Before each meeting, send a short note that answers the questions on the right.

  1. 1What have you done since the last meeting?
  2. 2What decision do you need to make now?
  3. 3What specific text, table, plan, or analysis do you want feedback on?
  4. 4What are you worried about?
  5. 5What is your next milestone?
Visiting scholars

Research visitors and doctoral students

I also consider requests from visiting scholars, doctoral students, and researchers whose work connects closely to my research areas. A productive visit usually has a clear intellectual purpose, a defined visit period, and a realistic plan for scholarly exchange.

What to include in a visit inquiry

  • Current position and institutional affiliation
  • Proposed dates and length of visit
  • Project or manuscript you would work on
  • Why UiO/IPED and my collaboration would be a good fit
  • What kind of support or collaboration you are seeking
  • Whether you already have funding or institutional approval
Next step

Request a meeting

Send a focused inquiry through the contact page. For thesis supervision requests, include your programme, topic, research question, possible data and method, timeline, language of the thesis, and any ethics or data protection issues you already know about.

Go to contact page