""
Language skills
required
Programme length
Four years.
Study mode
Face-to-face learning
Application status
International students:
Students with Icelandic or Nordic citizenship:
Overview

The student shall have completed a minimum 120 ECTS master's degree. Those who have completed a Master's degree or equivalent qualification from a recognised university may apply for admission to a doctoral programme. Applicants shall generally have completed a 30 ECTS Master's thesis. An applicant's academic performance and work experience shall be taken into account.

The doctoral program at the School of Education is based on advanced methodology courses, other courses in the field, active participation in the academic community both domestically and internationally, and a doctoral project.

30 ECTS of required coursework, primarily blended learning. Independent research under supervision towards the thesis (180 ECTS).

The following documents must accompany an application for this programme:
  • CV
  • Statement of purpose
  • Research proposal
  • Study plan
  • Reference 1, Name and email
  • Reference 2, Name and email
  • Supervisor/supervising teacher at the University of Iceland
  • Certified copies of diplomas and transcripts
  • Proof of English proficiency

Further information on supporting documents can be found here.

Form for the testimonial - Referees are to complete the form and return it by email to admission@hi.is or mvs@hi.is.

A working title of the research project

Short description of the research topic or proposed research. 
Prepare a short description, about 200 words, of your proposed research. This description will be used by committees and boards which are involved in doctoral studies within the University of Iceland.

Preliminary research proposal.
The research proposal can be either in English or Icelandic. About 1,800-2,200 words.

The research proposal should contain:

Introduction

  • State your research problem/question
  • Briefly illustrate the purpose and scientific value of your proposed project
  • Present your rationale in choosing your particular research problem/question, and demonstrate how it relates to your previous experience and/or your future plans

State of the art (Literature review)

  • Define your theoretical approach and key concepts, as needed
  • Briefly outline the outcome of previous related research by others – i.e. what do you already know?
  • Lines of inquiry – i.e. what do you want to find out?

Methods and methodology

  • How will you design your research and what methodology do you plan on using?
  • Data collection – how or where will you collect data, and what are your subjects or who are your participants?
  • Address possible ethical concerns  

This is a preliminary study plan – upon acceptance, you will begin work on your final study plan, in cooperation with your advisor.

Resume (CV)

An overview of your study and work experience. List institution, field of study, degree earned/credits or courses taken and year completed for your education, and institution, position held, and period for each workplace. List each in chronological order, newest item first.

Include a detailed list of all published works such as books, articles, essays, and reports. Also include copies of/extracts from significant works, i.e. those that best demonstrate your proficiency and research experience in the field.

Professional activity

In 300 – 400 words, describe your past research experience and other professional activity in your chosen field.

Statement of purpose

Prepare a statement in which you discuss the importance you believe participation in the doctoral programme at the School of Education will have for you. Why are you applying to this programme?

Doctoral Studies Handbook 2025 for PhD students in Educational Sciences.

Programme structure

Check below to see how the programme is structured.

This programme does not offer specialisations.

Year unspecified | Fall
Doctoral dissertation (UMD532L)
A mandatory (required) course for the programme
0 ECTS, credits
Course Description

Research project

Language of instruction: Icelandic
Part of the total project/thesis credits
Year unspecified | Fall
Theories in Sociology and Philosophy of Education (MVS101F)
Free elective course within the programme
10 ECTS, credits
Course Description

The content of the course will be centred around contemporary themes in the sociology and philosophy of education. We will discuss the sociological or philosophical aspects of current issues in society such as equality, multiculturalism, social class, pedagogy, democracy and inclusive education. 

During the first half of the semester theoretical approaches are presented and discussed.

During the second half students work in groups on self-chosen topics and are guided through developing a research plan or development projects using the theories presented before mid-semester.

Language of instruction: Icelandic
Face-to-face learning
Distance learning
Attendance required in class
Year unspecified | Fall
Qualitative Research Methods I (MVS301F)
Free elective course within the programme
10 ECTS, credits
Course Description

Aims: The course aims to deepen and broaden students' knowledge base in qualitative research methodology. Main approaches to and characteristics of qualitative research are explored as well as various methods of data collection such as interviews and collection of pre-existing data both visual and textual. In the course students will be introduced to various approaches to data analysis such as thematic analysis, narrative analysis, semiotic analysis and discourse analysis. Students will also learn how to present their findings in an organised and responsible manner.

Teaching and learning methods: This course uses flipped learning methods. Videos with lectures for each week are discussed in weekly workshops. Students work together on assignments that are handed in weekly. They also have to work individually on assignments.

Language of instruction: Icelandic
Face-to-face learning
Distance learning
Attendance required in class
Year unspecified | Fall
Quantitative Methods I (MVS302F)
Free elective course within the programme
10 ECTS, credits
Course Description

Objective

Students should understand and be able to apply the most common statistical methods for data analysis and be capable of evaluating statistical results. The student should possess the skills and knowledge to analyze and communicate numerical information according to the APA-7 publication standard (e.g., in a scientific journal article or thesis) and be able to take initiative in statistical data processing. Additionally, students will be introduced to the main research designs in quantitative methodology.

Content and Topics

The course will cover quantitative research methods and various research designs. In the statistics portion, the main emphasis will be on the structure and interpretation of the general linear model, which encompasses a range of classical statistical methods such as correlation, regression analysis, and analysis of variance (ANOVA). Students will also learn to apply exploratory and confirmatory factor analysis methods. Finally, students will be introduced to single-case designs, the basic principles of Bayesian statistics, and total survey error assessment. Students will learn to perform analyses using statistical software. Strong emphasis will be placed on clear interpretation and communication of quantitative results according to the APA-7 publication standard.

Teaching Method

The course is taught weekly via online meetings, except for two in-person sessions (see weekly schedule), where students and instructors are expected to attend physically. Students may apply for an exemption from attending in person if they live very far away (e.g., residing abroad). Such students will participate in the in-person sessions via remote connection. Students must have the latest stable version of Jamovi (see jamovi.org) installed on their laptops, which they should bring to class.

Language of instruction: Icelandic
Distance learning
Prerequisites
Attendance required in class
Year unspecified | Fall
Quantitative Methods I (MVS302F)
Free elective course within the programme
10 ECTS, credits
Course Description

Objective

Students should understand and be able to apply the most common statistical methods for data analysis and be capable of evaluating statistical results. The student should possess the skills and knowledge to analyze and communicate numerical information according to the APA-7 publication standard (e.g., in a scientific journal article or thesis) and be able to take initiative in statistical data processing. Additionally, students will be introduced to the main research designs in quantitative methodology.

Content and Topics

The course will cover quantitative research methods and various research designs. In the statistics portion, the main emphasis will be on the structure and interpretation of the general linear model, which encompasses a range of classical statistical methods such as correlation, regression analysis, and analysis of variance (ANOVA). Students will also learn to apply exploratory and confirmatory factor analysis methods. Finally, students will be introduced to single-case designs, the basic principles of Bayesian statistics, and total survey error assessment. Students will learn to perform analyses using statistical software. Strong emphasis will be placed on clear interpretation and communication of quantitative results according to the APA-7 publication standard.

Teaching Method

The course is taught weekly via online meetings, except for two in-person sessions (see weekly schedule), where students and instructors are expected to attend physically. Students may apply for an exemption from attending in person if they live very far away (e.g., residing abroad). Such students will participate in the in-person sessions via remote connection. Students must have the latest stable version of Jamovi (see jamovi.org) installed on their laptops, which they should bring to class.

Language of instruction: Icelandic
Distance learning
Prerequisites
Attendance required in class
Year unspecified | Fall
Research Proposal Evaluation (UMD020F)
Free elective course within the programme
0 ECTS, credits
Course Description

-

Language of instruction: Icelandic
Distance learning
Prerequisites
Attendance required in class
Year unspecified | Fall
Research Proposal Evaluation (UMD020F)
Free elective course within the programme
0 ECTS, credits
Course Description

-

Language of instruction: Icelandic
Distance learning
Prerequisites
Attendance required in class
Year unspecified | Fall
Ph.D. seminars in the School of Education, fall term (UMD815F)
Free elective course within the programme
3 ECTS, credits
Course Description

The seminars are organized for doctoral students at the School of Education. The seminars provide students with the opportunity to present parts of their research to fellow doctoral students, who will play a part in the review process as peer-reviewers. Faculty members of the School of Education and guest-researchers will take part in the seminars.

Language of instruction: English
Year unspecified | Spring 1
Research Ethics (MVS211F)
A mandatory (required) course for the programme
5 ECTS, credits
Course Description

In this course on research ethics special emphasis will be on research ethics in both health sciences as well as social sciences. Good conduct in research will be in focus as well as ethical dilemmas related to studies using both qualitative and quantitative method of research. Icelandic regulations and ethical committees regarding research in Iceland will be introduced.

Language of instruction: Icelandic
Face-to-face learning
Online learning
Year unspecified | Spring 1
Doctoral dissertation (UMD532L)
A mandatory (required) course for the programme
0 ECTS, credits
Course Description

Research project

Language of instruction: Icelandic
Part of the total project/thesis credits
Year unspecified | Spring 1
Advanced Seminar in Qualitative Research (FMÞ201F)
Free elective course within the programme
10 ECTS, credits
Course Description

This course focuses on the variety of approaches and methods found within  research. Five qualitative approaches to inquiry are mainly in focus, namely; case study, narrative research, ethnography, phenomenology and grounded theory. Students gain a deeper experiences in data collection and in use of different methods for analyzing their qualitative data. They also gain experience in presenting their findings in written form. Additionally, students have the opportunity to reflect on their own research practices and on themselves as qualitative researchers.

Language of instruction: Icelandic
Face-to-face learning
Distance learning
Prerequisites
Year unspecified | Spring 1
Ethics of Science and Research (HSP806F)
Free elective course within the programme
6 ECTS, credits
Course Description

The course is intended for postgraduate students only. It is adapted to the needs of students from different fields of study. The course is taught over a six-week period.

The course is taught over the first six weeks of spring semester on Fridays from 1:20 pm - 3:40 pm.

Description: 
The topics of the course include: Professionalism and the scientist’s responsibilities. Demands for scientific objectivity and the ethics of research. Issues of equality and standards of good practice. Power and science. Conflicts of interest and misconduct in research. Science, academia and industry. Research ethics and ethical decision making.

Objectives: 
In this course, the student gains knowledge about ethical issues in science and research and is trained in reasoning about ethical controversies relating to science and research in contemporary society.

The instruction takes the form of lectures and discussion. The course is viewed as an academic community where students are actively engaged in a focused dialogue about  the topics. Each student (working as a member of a two-person team) gives a presentation according to a plan designed at the beginning of the course, and other students acquaint themselves with the topic as well for the purpose of participating in a teacher-led discussion.

Language of instruction: English
Face-to-face learning
Course taught first half of the semester
Year unspecified | Spring 1
Research with children and youths (KME201F)
Free elective course within the programme
10 ECTS, credits
Course Description

The course provides an overview of research with children and young people to understand their views and experiences as they participate in research. These methods build on ideas about early childhood education, mainly from sociology, where early childhood is seen as a specific research area and linked to research with young people and other groups at risk of marginalisation. Furthermore, building on postmodern ideas, seeing children as strong and competent, having their own perspectives towards social issues. and also in relation to the movement of working towards children's rights as citizens.

Aims for students to:
Understand the theoretical ideas and views underpinning research with children. Students:

  • Gain knowledge and understanding about the challenges and solutions researchers face as they conduct research work with children and young people, in matters such as relations and interaction, informed consent, confidentiality and protection.
  • Gain knowledge and understanding of the performance of research with children and young people.
  • Can apply a theoretical approach to planning projects and research.

During the course, the challenges of meeting researchers, as doing research with children and young people, will be discussed. Ideology and ethical issues will be addressed

Language of instruction: Icelandic
Distance learning
Attendance required in class
Year unspecified | Spring 1
Ethnographic methods (MAN601F)
Free elective course within the programme
10 ECTS, credits
Course Description

In the course we examine the field methods and train students in their application. The focus is on ethical issues, research design, the fieldwork setting, participant observation, different kinds of interviews, use of visual material and the analysis of data and presentation of research results.

Language of instruction: English
Face-to-face learning
Online learning
Prerequisites
Year unspecified | Spring 1
Action research (MVS011F)
Free elective course within the programme
10 ECTS, credits
Course Description

This is an introductory course that addresses theoretical, philosophical, and practical issues related to action research. The history and development of action research worldwide will be outlined. We will examine ideologies and issues that divide action researchers into different camps. Special attention will be on action research in Icelandic schools and other educational forums, how it has developed until now and how it might be taken further. The main emphasis in the course is on learning in action: participants will learn about action research through the process of conducting their own research project.

Language of instruction: Icelandic
Face-to-face learning
Distance learning
Attendance required in class
Year unspecified | Spring 1
Introduction to qualitative research (MVS212F)
Free elective course within the programme
5 ECTS, credits
Course Description

This course focuses on qualitative research methods. It looks at different movements and traditions in research methodology and their relationship to the structure and execution of research. The course also touches on the ethics of research, validity and different views of these concepts. Students will conduct a small research project, which provides training in a literature review, data collection, data analysis, and presentation of research findings. Students work as a team throughout the semester.

Readings, lectures, in-class discussion and group work. Sessions for distance students are held twice during the semester and participation is mandatory

Language of instruction: Icelandic
Face-to-face learning
Distance learning
Prerequisites
Attendance required in class
Year unspecified | Spring 1
Introduction to qualitative research (MVS212F)
Free elective course within the programme
5 ECTS, credits
Course Description

This course focuses on qualitative research methods. It looks at different movements and traditions in research methodology and their relationship to the structure and execution of research. The course also touches on the ethics of research, validity and different views of these concepts. Students will conduct a small research project, which provides training in a literature review, data collection, data analysis, and presentation of research findings. Students work as a team throughout the semester.

Readings, lectures, in-class discussion and group work. Sessions for distance students are held twice during the semester and participation is mandatory

Language of instruction: Icelandic
Face-to-face learning
Distance learning
Prerequisites
Attendance required in class
Year unspecified | Spring 1
Introduction to quantitative Research (MVS213F)
Free elective course within the programme
5 ECTS, credits
Course Description

Students in this course are expected to deepen their knowledge and skills in quantitative research methodology. Students will use a computer program for data analysis, with emphasis on interpretation and writing about research results. Students are expected to develop positive attitudes toward research and the value of research in educational and social settings.

Language of instruction: Icelandic
Distance learning
Prerequisites
Attendance required in class
Year unspecified | Spring 1
Introduction to quantitative Research (MVS213F)
Free elective course within the programme
5 ECTS, credits
Course Description

Students in this course are expected to deepen their knowledge and skills in quantitative research methodology. Students will use a computer program for data analysis, with emphasis on interpretation and writing about research results. Students are expected to develop positive attitudes toward research and the value of research in educational and social settings.

Language of instruction: Icelandic
Distance learning
Prerequisites
Attendance required in class
Year unspecified | Spring 1
Education and education policies in a local and global context (STM207F)
Free elective course within the programme
10 ECTS, credits
Course Description

The main aim of the course is to enable students to recognize the importance of current global social, political and economic changes to gain understanding of contemporary education policies. The aim is to explore, from different angles based on critical theories, the complex relationships between developments in policy at global, national, local and institutional levels. The emphasis is on the understanding of different forms of marketization in education, both externally through private sector participation in education and internally through the changes of the education system and governance towards business models.

Subject:
Education systems and –policies and their relationship with the social context in society and institutions will be discussed with the intersecting lenses of students‘ gender, social class, residence, (dis-)ability, and ethnicity. Important concepts as quality, choices, effectiveness and governance will be of discussion.

Work process:
Lectures and discussions in weekly-sessions. Students co-operate to put theories and concepts into practice for particular issues. Student assessment comprices of written assignments and a shorter research projects. Further details and guidance will be available during the course.

Language of instruction: Icelandic
Distance learning
Attendance required in class
Year unspecified | Spring 1
Interim evaluation (UMD020F)
Free elective course within the programme
0 ECTS, credits
Course Description

Interim evaluation of research project

A formal interim evaluation of the research project shall take place no later than two years after commencement of studies. In a report on the research project being presented by the student for evaluation, the theoretical premises underpinning the research shall be stated; the report shall also include a summary of prior research in the field, a description of the acquisition and processing of data and a timetable for the research project.
A doctoral student shall submit a request to the doctoral studies supervisor that an interime evaluation of the research project take place, with three months’ notice.
The Doctoral Board shall receive for discussion a reasoned opinion from the supervisors as to whether s/he shall be given the opportunity to receive such an evaluation.

The interim evaluation of the research project is carried out by an evaluation committee comprised of the supervisors and two external examiners, who are experts in the research field in question and shall hold, as a rule, a position outside the School of Education. These external examiners are expected to meet those requirements made of supervisors (cf. Article 11). An evaluation of the project and the doctoral student’s performance shall be made and a report submitted to the Doctoral Committee. This report shall outline whether the doctoral student’s knowledge and research competence are deemed satisfactory and what the student must do to respond to the comments of the evaluation committee (cf. procedure on intermediate evaluation of research projects).

Language of instruction: Icelandic
Year unspecified | Spring 1
Historical analysis of discourse (UMD052F)
Free elective course within the programme
5 ECTS, credits
Course Description

The course covers the concepts and procedures of discourse analysis, as practiced by, amongst others, Foucault and Bourdieu, further shaped by several feminist scholars. The course is intended to tackle ideas and trends in various fields within education and social matters. The process of analysis is also well suited to examine other topics, and examples from other fields, such as environmental studies, will also be used. There will be selected required readings, and students will work on assignments. Students are advised to have in mind a research topic well suited for this approach when taking part in the course.

Language of instruction: English
Prerequisites
Year unspecified | Spring 1
Applied multilevel modeling using jamovi (UMD077F)
Free elective course within the programme
2 ECTS, credits
Course Description

The focus of the course will be on the use of multilevel models (MLMs; also known as mixed models or random-effects models). MLMs extend the use of multiple regression models and are used answer research questions where models must account for dependencies in the data. The three-day course will begin with a refresher on how to apply the general linear model giving examples of multiple regression, moderated regression, and polynomial effects. The second day of the course will be dedicated to two-level MLMs with cross-sectional data, such as when students are nested within classrooms and/or schools in cluster sampling. The third day will be devoted to the use of two-level MLMs with longitudinal data where timepoints (i.e., waves of data collection) are nested within survey respondents. The course will be taught three days in a row with interactive lectures and online examples that students are encouraged to follow. After lunch students are expected to work on the application on their own computers. Worked examples are available online (https://gamlj.github.io).

Language of instruction: Icelandic
Face-to-face learning
Prerequisites
Attendance required in class
Year unspecified | Spring 1
Introduction to data analysis using jamovi (UMD078F)
Free elective course within the programme
2 ECTS, credits
Course Description

The jamovi software is an open-source user-friendly graphical user interface (GUI) for the R statistical programming language (see jamovi.org). The goal of this course is to make students capable of working independently with their own data, visualizing data, and applying statistical tools using the jamovi software. The first day of this three-day course will be devoted to introducing the jamovi GUI, descriptive statistics, and data visualizations. The second day will be devoted to categorical analysis and comparing two means using jamovi. The third day will be devoted to correlation and linear regression using jamovi. A special emphasis will be on visualizing data for increased clarity and enhanced learning. The course will be taught three days in a row with interactive lectures and online examples that students are encouraged to follow. After lunch, students are expected to work in jamovi on their own computers. The textbook is open-source and is available online (see https://www.learnstatswithjamovi.com).  

Language of instruction: Icelandic
Face-to-face learning
Prerequisites
Attendance required in class
Year unspecified | Spring 1
Ph.D. seminars in the School of Education, spring term (UMD815F)
Free elective course within the programme
3 ECTS, credits
Course Description

The seminars are organized for doctoral students at the School of Education. The seminars provide students with the opportunity to present parts of their research to fellow doctoral students, who will play a part in the review process as peer-reviewers. Faculty members of the School of Education and guest-researchers will take part in the seminars.

Language of instruction: English
Year unspecified | Spring 1
Global Citizenship Education – from policy to practice.  (UME002F)
Free elective course within the programme
10 ECTS, credits
Course Description

The course discusses factors that underpin and support global citizenship education. We will discuss the importance of citizens realizing that they have certain rights in society, as well as shared responsibilities and duties. Emphasis is placed on academic and policy related discussion of concepts such as globalization, citizenship, civic engagement, democracy, human rights, education and sustainability. Different approaches and definitions of global citizenship will be discussed, with an emphasis on critical approaches providing examples from international and national education, such as the United Nations' global goals and the fundamental pillars of Icelandic education. The spotlight will also be directed to the current situation of children and young people and how we learn and teach in the spirit of global citizenship.

Language of instruction: Icelandic
Distance learning
Attendance required in class
Year unspecified | Year unspecified
Academic Writing I (UMD055F)
Free elective course within the programme
2 ECTS, credits
Course Description

The overall aim of the course is to improve doctoral students’ skills in academic writing in English. The course will examine the notion of doctorateness – what the thesis committe want from the student and how to communicate them through narrative. The course takes students systematically through some of the main challenges of academic writing and publishing, as well as developing an identity as an academic. The course will discuss good writing habits and provide practical writing sessions.

The course is based on peer review in which students acquire skills in reviewing each other’s’ texts.

Language of instruction: English
Prerequisites
Year unspecified
  • Fall
  • UMD532L
    Doctoral dissertation
    Mandatory (required) course
    0
    A mandatory (required) course for the programme
    0 ECTS, credits
    Course Description

    Research project

    Prerequisites
    Part of the total project/thesis credits
  • MVS101F
    Theories in Sociology and Philosophy of Education
    Elective course
    10
    Free elective course within the programme
    10 ECTS, credits
    Course Description

    The content of the course will be centred around contemporary themes in the sociology and philosophy of education. We will discuss the sociological or philosophical aspects of current issues in society such as equality, multiculturalism, social class, pedagogy, democracy and inclusive education. 

    During the first half of the semester theoretical approaches are presented and discussed.

    During the second half students work in groups on self-chosen topics and are guided through developing a research plan or development projects using the theories presented before mid-semester.

    Face-to-face learning
    Distance learning
    Prerequisites
    Attendance required in class
  • MVS301F
    Qualitative Research Methods I
    Elective course
    10
    Free elective course within the programme
    10 ECTS, credits
    Course Description

    Aims: The course aims to deepen and broaden students' knowledge base in qualitative research methodology. Main approaches to and characteristics of qualitative research are explored as well as various methods of data collection such as interviews and collection of pre-existing data both visual and textual. In the course students will be introduced to various approaches to data analysis such as thematic analysis, narrative analysis, semiotic analysis and discourse analysis. Students will also learn how to present their findings in an organised and responsible manner.

    Teaching and learning methods: This course uses flipped learning methods. Videos with lectures for each week are discussed in weekly workshops. Students work together on assignments that are handed in weekly. They also have to work individually on assignments.

    Face-to-face learning
    Distance learning
    Prerequisites
    Attendance required in class
  • MVS302F
    Quantitative Methods I
    Elective course
    10
    Free elective course within the programme
    10 ECTS, credits
    Course Description

    Objective

    Students should understand and be able to apply the most common statistical methods for data analysis and be capable of evaluating statistical results. The student should possess the skills and knowledge to analyze and communicate numerical information according to the APA-7 publication standard (e.g., in a scientific journal article or thesis) and be able to take initiative in statistical data processing. Additionally, students will be introduced to the main research designs in quantitative methodology.

    Content and Topics

    The course will cover quantitative research methods and various research designs. In the statistics portion, the main emphasis will be on the structure and interpretation of the general linear model, which encompasses a range of classical statistical methods such as correlation, regression analysis, and analysis of variance (ANOVA). Students will also learn to apply exploratory and confirmatory factor analysis methods. Finally, students will be introduced to single-case designs, the basic principles of Bayesian statistics, and total survey error assessment. Students will learn to perform analyses using statistical software. Strong emphasis will be placed on clear interpretation and communication of quantitative results according to the APA-7 publication standard.

    Teaching Method

    The course is taught weekly via online meetings, except for two in-person sessions (see weekly schedule), where students and instructors are expected to attend physically. Students may apply for an exemption from attending in person if they live very far away (e.g., residing abroad). Such students will participate in the in-person sessions via remote connection. Students must have the latest stable version of Jamovi (see jamovi.org) installed on their laptops, which they should bring to class.

    Distance learning
    Prerequisites
    Attendance required in class
  • MVS302F
    Quantitative Methods I
    Elective course
    10
    Free elective course within the programme
    10 ECTS, credits
    Course Description

    Objective

    Students should understand and be able to apply the most common statistical methods for data analysis and be capable of evaluating statistical results. The student should possess the skills and knowledge to analyze and communicate numerical information according to the APA-7 publication standard (e.g., in a scientific journal article or thesis) and be able to take initiative in statistical data processing. Additionally, students will be introduced to the main research designs in quantitative methodology.

    Content and Topics

    The course will cover quantitative research methods and various research designs. In the statistics portion, the main emphasis will be on the structure and interpretation of the general linear model, which encompasses a range of classical statistical methods such as correlation, regression analysis, and analysis of variance (ANOVA). Students will also learn to apply exploratory and confirmatory factor analysis methods. Finally, students will be introduced to single-case designs, the basic principles of Bayesian statistics, and total survey error assessment. Students will learn to perform analyses using statistical software. Strong emphasis will be placed on clear interpretation and communication of quantitative results according to the APA-7 publication standard.

    Teaching Method

    The course is taught weekly via online meetings, except for two in-person sessions (see weekly schedule), where students and instructors are expected to attend physically. Students may apply for an exemption from attending in person if they live very far away (e.g., residing abroad). Such students will participate in the in-person sessions via remote connection. Students must have the latest stable version of Jamovi (see jamovi.org) installed on their laptops, which they should bring to class.

    Distance learning
    Prerequisites
    Attendance required in class
  • UMD020F
    Research Proposal Evaluation
    Elective course
    0
    Free elective course within the programme
    0 ECTS, credits
    Course Description

    -

    Distance learning
    Prerequisites
    Attendance required in class
  • UMD020F
    Research Proposal Evaluation
    Elective course
    0
    Free elective course within the programme
    0 ECTS, credits
    Course Description

    -

    Distance learning
    Prerequisites
    Attendance required in class
  • UMD815F
    Ph.D. seminars in the School of Education, fall term
    Elective course
    3
    Free elective course within the programme
    3 ECTS, credits
    Course Description

    The seminars are organized for doctoral students at the School of Education. The seminars provide students with the opportunity to present parts of their research to fellow doctoral students, who will play a part in the review process as peer-reviewers. Faculty members of the School of Education and guest-researchers will take part in the seminars.

    Prerequisites
  • Spring 2
  • MVS211F
    Research Ethics
    Mandatory (required) course
    5
    A mandatory (required) course for the programme
    5 ECTS, credits
    Course Description

    In this course on research ethics special emphasis will be on research ethics in both health sciences as well as social sciences. Good conduct in research will be in focus as well as ethical dilemmas related to studies using both qualitative and quantitative method of research. Icelandic regulations and ethical committees regarding research in Iceland will be introduced.

    Face-to-face learning
    Online learning
    Prerequisites
  • UMD532L
    Doctoral dissertation
    Mandatory (required) course
    0
    A mandatory (required) course for the programme
    0 ECTS, credits
    Course Description

    Research project

    Prerequisites
    Part of the total project/thesis credits
  • FMÞ201F
    Advanced Seminar in Qualitative Research
    Elective course
    10
    Free elective course within the programme
    10 ECTS, credits
    Course Description

    This course focuses on the variety of approaches and methods found within  research. Five qualitative approaches to inquiry are mainly in focus, namely; case study, narrative research, ethnography, phenomenology and grounded theory. Students gain a deeper experiences in data collection and in use of different methods for analyzing their qualitative data. They also gain experience in presenting their findings in written form. Additionally, students have the opportunity to reflect on their own research practices and on themselves as qualitative researchers.

    Face-to-face learning
    Distance learning
    Prerequisites
  • HSP806F
    Ethics of Science and Research
    Elective course
    6
    Free elective course within the programme
    6 ECTS, credits
    Course Description

    The course is intended for postgraduate students only. It is adapted to the needs of students from different fields of study. The course is taught over a six-week period.

    The course is taught over the first six weeks of spring semester on Fridays from 1:20 pm - 3:40 pm.

    Description: 
    The topics of the course include: Professionalism and the scientist’s responsibilities. Demands for scientific objectivity and the ethics of research. Issues of equality and standards of good practice. Power and science. Conflicts of interest and misconduct in research. Science, academia and industry. Research ethics and ethical decision making.

    Objectives: 
    In this course, the student gains knowledge about ethical issues in science and research and is trained in reasoning about ethical controversies relating to science and research in contemporary society.

    The instruction takes the form of lectures and discussion. The course is viewed as an academic community where students are actively engaged in a focused dialogue about  the topics. Each student (working as a member of a two-person team) gives a presentation according to a plan designed at the beginning of the course, and other students acquaint themselves with the topic as well for the purpose of participating in a teacher-led discussion.

    Face-to-face learning
    Prerequisites
    Course taught first half of the semester
  • KME201F
    Research with children and youths
    Elective course
    10
    Free elective course within the programme
    10 ECTS, credits
    Course Description

    The course provides an overview of research with children and young people to understand their views and experiences as they participate in research. These methods build on ideas about early childhood education, mainly from sociology, where early childhood is seen as a specific research area and linked to research with young people and other groups at risk of marginalisation. Furthermore, building on postmodern ideas, seeing children as strong and competent, having their own perspectives towards social issues. and also in relation to the movement of working towards children's rights as citizens.

    Aims for students to:
    Understand the theoretical ideas and views underpinning research with children. Students:

    • Gain knowledge and understanding about the challenges and solutions researchers face as they conduct research work with children and young people, in matters such as relations and interaction, informed consent, confidentiality and protection.
    • Gain knowledge and understanding of the performance of research with children and young people.
    • Can apply a theoretical approach to planning projects and research.

    During the course, the challenges of meeting researchers, as doing research with children and young people, will be discussed. Ideology and ethical issues will be addressed

    Distance learning
    Prerequisites
    Attendance required in class
  • MAN601F
    Ethnographic methods
    Elective course
    10
    Free elective course within the programme
    10 ECTS, credits
    Course Description

    In the course we examine the field methods and train students in their application. The focus is on ethical issues, research design, the fieldwork setting, participant observation, different kinds of interviews, use of visual material and the analysis of data and presentation of research results.

    Face-to-face learning
    Online learning
    Prerequisites
  • MVS011F
    Action research
    Elective course
    10
    Free elective course within the programme
    10 ECTS, credits
    Course Description

    This is an introductory course that addresses theoretical, philosophical, and practical issues related to action research. The history and development of action research worldwide will be outlined. We will examine ideologies and issues that divide action researchers into different camps. Special attention will be on action research in Icelandic schools and other educational forums, how it has developed until now and how it might be taken further. The main emphasis in the course is on learning in action: participants will learn about action research through the process of conducting their own research project.

    Face-to-face learning
    Distance learning
    Prerequisites
    Attendance required in class
  • MVS212F
    Introduction to qualitative research
    Elective course
    5
    Free elective course within the programme
    5 ECTS, credits
    Course Description

    This course focuses on qualitative research methods. It looks at different movements and traditions in research methodology and their relationship to the structure and execution of research. The course also touches on the ethics of research, validity and different views of these concepts. Students will conduct a small research project, which provides training in a literature review, data collection, data analysis, and presentation of research findings. Students work as a team throughout the semester.

    Readings, lectures, in-class discussion and group work. Sessions for distance students are held twice during the semester and participation is mandatory

    Face-to-face learning
    Distance learning
    Prerequisites
    Attendance required in class
  • MVS212F
    Introduction to qualitative research
    Elective course
    5
    Free elective course within the programme
    5 ECTS, credits
    Course Description

    This course focuses on qualitative research methods. It looks at different movements and traditions in research methodology and their relationship to the structure and execution of research. The course also touches on the ethics of research, validity and different views of these concepts. Students will conduct a small research project, which provides training in a literature review, data collection, data analysis, and presentation of research findings. Students work as a team throughout the semester.

    Readings, lectures, in-class discussion and group work. Sessions for distance students are held twice during the semester and participation is mandatory

    Face-to-face learning
    Distance learning
    Prerequisites
    Attendance required in class
  • MVS213F
    Introduction to quantitative Research
    Elective course
    5
    Free elective course within the programme
    5 ECTS, credits
    Course Description

    Students in this course are expected to deepen their knowledge and skills in quantitative research methodology. Students will use a computer program for data analysis, with emphasis on interpretation and writing about research results. Students are expected to develop positive attitudes toward research and the value of research in educational and social settings.

    Distance learning
    Prerequisites
    Attendance required in class
  • MVS213F
    Introduction to quantitative Research
    Elective course
    5
    Free elective course within the programme
    5 ECTS, credits
    Course Description

    Students in this course are expected to deepen their knowledge and skills in quantitative research methodology. Students will use a computer program for data analysis, with emphasis on interpretation and writing about research results. Students are expected to develop positive attitudes toward research and the value of research in educational and social settings.

    Distance learning
    Prerequisites
    Attendance required in class
  • STM207F
    Education and education policies in a local and global context
    Elective course
    10
    Free elective course within the programme
    10 ECTS, credits
    Course Description

    The main aim of the course is to enable students to recognize the importance of current global social, political and economic changes to gain understanding of contemporary education policies. The aim is to explore, from different angles based on critical theories, the complex relationships between developments in policy at global, national, local and institutional levels. The emphasis is on the understanding of different forms of marketization in education, both externally through private sector participation in education and internally through the changes of the education system and governance towards business models.

    Subject:
    Education systems and –policies and their relationship with the social context in society and institutions will be discussed with the intersecting lenses of students‘ gender, social class, residence, (dis-)ability, and ethnicity. Important concepts as quality, choices, effectiveness and governance will be of discussion.

    Work process:
    Lectures and discussions in weekly-sessions. Students co-operate to put theories and concepts into practice for particular issues. Student assessment comprices of written assignments and a shorter research projects. Further details and guidance will be available during the course.

    Distance learning
    Prerequisites
    Attendance required in class
  • UMD020F
    Interim evaluation
    Elective course
    0
    Free elective course within the programme
    0 ECTS, credits
    Course Description

    Interim evaluation of research project

    A formal interim evaluation of the research project shall take place no later than two years after commencement of studies. In a report on the research project being presented by the student for evaluation, the theoretical premises underpinning the research shall be stated; the report shall also include a summary of prior research in the field, a description of the acquisition and processing of data and a timetable for the research project.
    A doctoral student shall submit a request to the doctoral studies supervisor that an interime evaluation of the research project take place, with three months’ notice.
    The Doctoral Board shall receive for discussion a reasoned opinion from the supervisors as to whether s/he shall be given the opportunity to receive such an evaluation.

    The interim evaluation of the research project is carried out by an evaluation committee comprised of the supervisors and two external examiners, who are experts in the research field in question and shall hold, as a rule, a position outside the School of Education. These external examiners are expected to meet those requirements made of supervisors (cf. Article 11). An evaluation of the project and the doctoral student’s performance shall be made and a report submitted to the Doctoral Committee. This report shall outline whether the doctoral student’s knowledge and research competence are deemed satisfactory and what the student must do to respond to the comments of the evaluation committee (cf. procedure on intermediate evaluation of research projects).

    Prerequisites
  • UMD052F
    Historical analysis of discourse
    Elective course
    5
    Free elective course within the programme
    5 ECTS, credits
    Course Description

    The course covers the concepts and procedures of discourse analysis, as practiced by, amongst others, Foucault and Bourdieu, further shaped by several feminist scholars. The course is intended to tackle ideas and trends in various fields within education and social matters. The process of analysis is also well suited to examine other topics, and examples from other fields, such as environmental studies, will also be used. There will be selected required readings, and students will work on assignments. Students are advised to have in mind a research topic well suited for this approach when taking part in the course.

    Prerequisites
  • UMD077F
    Applied multilevel modeling using jamovi
    Elective course
    2
    Free elective course within the programme
    2 ECTS, credits
    Course Description

    The focus of the course will be on the use of multilevel models (MLMs; also known as mixed models or random-effects models). MLMs extend the use of multiple regression models and are used answer research questions where models must account for dependencies in the data. The three-day course will begin with a refresher on how to apply the general linear model giving examples of multiple regression, moderated regression, and polynomial effects. The second day of the course will be dedicated to two-level MLMs with cross-sectional data, such as when students are nested within classrooms and/or schools in cluster sampling. The third day will be devoted to the use of two-level MLMs with longitudinal data where timepoints (i.e., waves of data collection) are nested within survey respondents. The course will be taught three days in a row with interactive lectures and online examples that students are encouraged to follow. After lunch students are expected to work on the application on their own computers. Worked examples are available online (https://gamlj.github.io).

    Face-to-face learning
    Prerequisites
    Attendance required in class
  • UMD078F
    Introduction to data analysis using jamovi
    Elective course
    2
    Free elective course within the programme
    2 ECTS, credits
    Course Description

    The jamovi software is an open-source user-friendly graphical user interface (GUI) for the R statistical programming language (see jamovi.org). The goal of this course is to make students capable of working independently with their own data, visualizing data, and applying statistical tools using the jamovi software. The first day of this three-day course will be devoted to introducing the jamovi GUI, descriptive statistics, and data visualizations. The second day will be devoted to categorical analysis and comparing two means using jamovi. The third day will be devoted to correlation and linear regression using jamovi. A special emphasis will be on visualizing data for increased clarity and enhanced learning. The course will be taught three days in a row with interactive lectures and online examples that students are encouraged to follow. After lunch, students are expected to work in jamovi on their own computers. The textbook is open-source and is available online (see https://www.learnstatswithjamovi.com).  

    Face-to-face learning
    Prerequisites
    Attendance required in class
  • UMD815F
    Ph.D. seminars in the School of Education, spring term
    Elective course
    3
    Free elective course within the programme
    3 ECTS, credits
    Course Description

    The seminars are organized for doctoral students at the School of Education. The seminars provide students with the opportunity to present parts of their research to fellow doctoral students, who will play a part in the review process as peer-reviewers. Faculty members of the School of Education and guest-researchers will take part in the seminars.

    Prerequisites
  • UME002F
    Global Citizenship Education – from policy to practice. 
    Elective course
    10
    Free elective course within the programme
    10 ECTS, credits
    Course Description

    The course discusses factors that underpin and support global citizenship education. We will discuss the importance of citizens realizing that they have certain rights in society, as well as shared responsibilities and duties. Emphasis is placed on academic and policy related discussion of concepts such as globalization, citizenship, civic engagement, democracy, human rights, education and sustainability. Different approaches and definitions of global citizenship will be discussed, with an emphasis on critical approaches providing examples from international and national education, such as the United Nations' global goals and the fundamental pillars of Icelandic education. The spotlight will also be directed to the current situation of children and young people and how we learn and teach in the spirit of global citizenship.

    Distance learning
    Prerequisites
    Attendance required in class
  • Year unspecified
  • UMD055F
    Academic Writing I
    Elective course
    2
    Free elective course within the programme
    2 ECTS, credits
    Course Description

    The overall aim of the course is to improve doctoral students’ skills in academic writing in English. The course will examine the notion of doctorateness – what the thesis committe want from the student and how to communicate them through narrative. The course takes students systematically through some of the main challenges of academic writing and publishing, as well as developing an identity as an academic. The course will discuss good writing habits and provide practical writing sessions.

    The course is based on peer review in which students acquire skills in reviewing each other’s’ texts.

    Prerequisites
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Academic and Student Affairs
9:00 am - 3:00 pm
Project Manager
Gyða Fanney Guðjónsdóttir
University of Iceland, Saga (Building)

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