Students & Visitors

Graduate Students & Advisees

Information for master’s students, PhD students, and visiting scholars whose work connects to literacy, language and learning, educational assessment, educational inequality, AI in education, and quantitative or mixed-methods research.

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Research fit

Areas where I am most likely to be a good fit

I am most likely to advise or collaborate on projects that connect educational problems to strong research design, careful analysis, and clear writing. A good project does not need to be huge, but it should have a focused question, feasible data, and a method that fits the question.

Literacy, language, and learning

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

Assessment, validity, and data use

Educational tests, surveys, screeners, validity evidence, fairness, item quality, and how teachers, students, and schools interpret assessment results.

AI, digital tools, and learning

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

Educational inequality and multilingual learners

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

Quantitative and mixed-methods research

Survey design, quantitative analysis, mixed-methods design, interview studies, literature reviews, and evaluation of educational programs or interventions.

Writing, publication, and argument structure

Turning a promising project into a coherent thesis, article, dissertation chapter, or manuscript with a clear contribution to the field.

Related site links: Research, Teaching, Courses, Writing, CV.

1. Master’s students

Master’s thesis supervision

I supervise UiO master’s students whose projects connect to educational research, literacy, assessment, learning, inequality, AI in education, and quantitative or mixed-methods research design. My goal as a supervisor is to help you turn an interesting educational problem into a feasible, well-structured, and methodologically sound master’s thesis.

A master’s thesis is not a PhD dissertation, but it should still make a real contribution to the field. The goal is to produce a clear, defensible, well-structured study that 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.

What makes a project a good fit?

A clear educational problem.
A research question that can be answered within the thesis timeline.
A feasible data source.
A method that fits the question.
A realistic writing plan.
A willingness to revise the question as the project develops.

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.

Before requesting a meeting

Please 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.
Whether the thesis will be written in English or Norwegian.
Whether the project involves people, schools, personal data, interviews, recordings, or other material that may require SIKT/NSD or other approvals.

Supervision process checklist

Topic and scope alignment: clarify the research question, theoretical framing, feasibility, data, methods, and timeline.
Formal setup: complete the supervision contract and clarify expectations, including UiO/IPED’s maximum of 40 supervision hours total.
Project plan and milestones: agree on chapter order, draft deadlines, and meeting cadence.
Methods and ethics: confirm the methodology, data access, and whether SIKT/NSD or other approvals are required. Do not assume a project is exempt.
Writing and feedback norms: agree on what gets feedback, turnaround expectations, and realistic revision cycles.
Midway progress check: check whether the research question is still viable, the scope is controlled, and the data and analysis plan are working.
Pre-submission review: focus on structure, argument coherence, methods clarity, formal requirements, abstract, references, and formatting.
Submission and handoff: complete final checks and make sure expectations for the examination process are clear.

Useful UiO links for master’s students

If your project seems like a possible fit, send a focused inquiry through the contact page.

Request a master’s supervision meeting

2. PhD students

PhD advising, methods support, and research collaboration

I work with PhD students when there is a strong fit between the student’s project and my expertise in literacy, assessment, learning, educational inequality, AI in education, or quantitative and mixed-methods research. This may involve formal supervision, co-supervision, methods consultation, writing feedback, or collaboration on a manuscript, depending on the student’s programme, supervisor team, and institutional requirements.

PhD projects should have a clear contribution to the field, a defensible research design, and a realistic plan for analysis and writing. I am especially interested in projects where theory, measurement, data, and educational practice are connected rather than treated as separate pieces.

Best-fit PhD topics

Adolescent literacy, academic language, vocabulary, or reading comprehension.
Assessment validity, fairness, data use, or student profiling.
AI-supported learning, feedback, writing, or educational decision-making.
Multilingual learners, inequality, and educational opportunity.
Quantitative or mixed-methods studies of educational interventions or systems.

Support I can often provide

Research question and article framing.
Study design and analysis planning.
Stata or R analytic workflows.
Survey, assessment, or instrument design.
Manuscript structure and publication strategy.
Methods and results writing.

Before requesting a PhD meeting

Please make the purpose of the meeting specific. A useful first message usually includes the current stage of your PhD, your supervisor team if relevant, the article or dissertation component you want to discuss, and the decision you are trying to make.

Your PhD programme, department, and institutional affiliation.
Your working title or dissertation topic.
The specific article, chapter, analysis, or design problem you want to discuss.
Your current supervisor arrangement and whether you are seeking formal or informal support.
The data source, method, and analytic tools you are using or considering.
Your timeline and any deadlines for proposal approval, midterm evaluation, article submission, or dissertation submission.

Related site links: Research areas, Writing and publications, CV.

Useful UiO links for PhD students

If you are a PhD student and think I may be a useful supervisor, co-supervisor, or methods contact, send a short, specific inquiry.

Request a PhD advising meeting

3. Visiting scholars

Visiting scholars and research visitors

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

Possible visit activities may include research consultation, article development, methods support, collaboration on literacy or assessment projects, guest talks, research group participation, or work on a specific manuscript. A general interest in visiting UiO is usually not enough; a focused research plan makes it much easier to determine whether I can be a useful host or collaborator.

A strong visit proposal usually includes

A clear research project or writing goal.
A defined visit period.
A strong reason for being at UiO/IPED.
A realistic plan for collaboration or scholarly exchange.
Evidence that funding, institutional permissions, and administrative requirements can be handled through the appropriate formal channels.

Possible areas of collaboration

Literacy, language, and adolescent reading.
Educational assessment, validity, and data use.
AI and education.
Quantitative and mixed-methods research.
Manuscript development and publication planning.

Before contacting me about a visit

Your current position and institutional affiliation.
The proposed dates and length of visit.
The project or manuscript you would work on.
Why UiO/IPED and my collaboration would be a good fit.
What kind of support, hosting, or collaboration you are seeking.
Whether you already have funding or institutional approval.

Related site links: Research, Teaching, Professional Learning, Writing.

If you are interested in visiting UiO or collaborating during a research visit, send a focused inquiry with the details above.

Contact me about a visit

Meeting norms

How to make advising meetings useful

Whether you are a master’s student, PhD student, or visiting scholar, meetings are most useful when they are connected to a specific decision, draft, analysis, or plan.

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

Ready to get in touch? Use the contact page and include enough detail for me to judge fit, feasibility, and the right next step.

Go to contact page