Introduction

The Learning Technology & Analytics research group investigates the use of technology in education and study data to improve equal opportunities for students.

About the research group

Study data and technology in education can evoke strong emotions. Some have the image that it will mainly monitor and select students and that this might have a negative impact on them: “Computer says no”. Meanwhile, on the contrary, others are enthusiastic about the potential of data and technology to advance education and students. Both images have a grain of truth, as there is opportunity in both directions. One thing is sure: technology and data already play a crucial role in innovations in education, and – given the rapid pace of technological development – this will only get stronger. With that, the need for research into this topic is growing too.

The research group has two research themes: Learning Technology & Learning Analytics

Within the Learning Technology theme, we use experiments to investigate the interaction between technology, students, and teachers in education. How is technology used, what does it bring, and what does it take away? What makes students, teachers or policymakers not adopt technology in education? What is the potential impact of advanced technologies – such as AI, gaming, virtual or augmented reality – on student teaching and supervision?

In the second theme, Learning Analytics, we examine study data generated in education or its context: data from education systems, education administrations, and public data. What are the statistical relationships in these data? How equal, diverse, and unique are our students within different programmes? We examine not only the data but also the usefulness of insights. What can these analyses mean for teaching, guidance, and education policy? How do educational institutions’ teachers, students, and support staff use data to make decisions?

A particular focus in the second theme is research on students who are – proportionally – underrepresented. What biases exist in study data, and how can we eliminate them? What might education and guidance look like, then? What are the opportunities of different students, and how equal are they? What can we do to improve the equality of opportunities?

Lines of research

A new senior researcher is developing the lines of research in the Learning Technology theme. The Learning Analytics theme of lectorate has four lines of research:

  1. Learning Analytics: this line focuses on analysing data affecting the quality of learning and teaching. These insights can help to design teaching, learning processes, and study ability.
  2. Student Analytics: by analysing data at the group level, we can contribute to the quality of programmes with insights into programme design and students’ study paths.
  3. Institutional Analytics: insights from this line of research can help to set policy and strategy for the entire university, as well as contribute to national, European, and international research.
  4. Inclusion Analytics: study progression and success of students with support needs is a line of research in which we aim to be meaningful at all levels, as mentioned earlier.

Within each line of research, we focus on a) the selection of relevant study data, b) methods of analysis, c) practical application of solutions, degree of adoption, and impact measurement, and d) communication and dissemination of knowledge.

Theo Bakker

About the professor

dr. Theo Bakker

Photographer: David Meulenbeld

Theo Bakker has a broad background. He studied Theology, Informatics, and Management Consulting. He obtained his PhD in Clinical Developmental Psychology on the study progress and study success of students with autism.

Since 2004 study data have been the thread running through Theo’s career. Initially with implementing educational administrations and later using the information from these systems in the context of study success. He joined the Vrije Universiteit Amsterdam (VU) in 2014 via the University of Amsterdam and Deloitte Consulting. In 2022, he obtained his PhD for his thesis’ Study Progression and Success of Autistic Students in Higher Education, A Longitudinal, Propensity Score-Weighted Population Study’.

In 2021, Theo started at The Hague University of Applied Sciences as director of the Education, Knowledge & Communication department. After his PhD, he combines all his knowledge and experience as a Learning Technology & Analytics professor. In addition, Theo works as a university lecturer at the Faculty of Behavioural and Movement Sciences of the VU.

t.c.bakker@hhs.nl

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Team

Memon Boukiour

Memon Boukiour

Lecturer-Researcher

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Memon Boukiour

Lecturer-Researcher

Memon (0.3) is a senior lecturer at the Faculty Health, Nutrition & Sport and works within the lectorate on researching the possibilities of Brightspace.
m.boukiour@hhs.nl

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Cathy Liem

Cathy Liem

Lecturer-Researcher

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Cathy Liem

Lecturer-Researcher

Cathy (0,2) is a mathematics lecturer in the Applied Mathematics and Technical Business Administration programs with an affinity for Operations Research and Data Analytics.
h.l.liem@hhs.nl

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Nando Rensen

Nando Rensen

Researcher

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Nando Rensen

Researcher

Nando (0,4) is a policy officer at the Faculty Health, Nutrition & Sport and within the lectorate is mainly concerned with the research project The State of THUAS.
n.t.j.rensen@hhs.nl

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Maria Sobral

Maria Sobral

Lecturer-Researcher

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Maria Sobral

Lecturer-Researcher

Maria (0,4) is a teacher and autism coach. She examines students with autism at THUAS.
m.j.sobral@hhs.nl

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Marcel van Vliet

Marcel van Vliet

Lecturer-Researcher

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Marcel van Vliet

Lecturer-Researcher

Marcel (0.4) focuses on Digital Design and User Experience Design in the CMD program as a senior lecturer. His research at the lectureship focuses on students' study experiences and their study succes

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Equal opportunities in higher education call for consideration of exceptions

 

Projects

The State of THUAS

Analysing intake, progression and outflow is essential for universities of applied sciences to gain insight into the position and significance of the school for students and the region.
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Study data at The Hague University of Applied Sciences

The Learning Technology & Analytics lectorate analyses study data and provide insights to improve policy, quality, and education. Which analyses are helpful to make? And how to do so safely?
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Fair Machine Learning & AI

Machine Learning and AI are taking off, also in higher education. These are valuable methods to use for analysing study data. But how fair and (un)biased are the resulting data and analyses?
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News

6 February 2024

Winning prizes with Data Analytics

Research

Two teams of THUAS were able to take a shared second prize completing the 'Leadership Challenge with Data…
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Publications

Article

Predicting Academic Succes of Autistic Students in Higher Education

Little is known about early predictors of academic success for young people with autism pursuing university studies.

Thesis

Study Progression and Success of Autistic Students, A Longitudinal Propensity Score-Weighted Population Study

Theo investigated the study progression and success of students with autism in higher education by statistically comparing their background and study progression with students with or without disabilities.

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Article

Study Progression and Degree Completion of Autistic Students in Higher Educaion: A Longitudinal Study

Article published in The International Journal of Higher Education Research on PhD on the study progression and degree completion of students with autism.

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Article

First-Year Progession and Retention of Autistic Students in Higher Education

Progress and dropout of autistic students in the first year of higher education: a propensity-score-weighted population study. Published in ‘Autism in Adulthood’, June 2020.

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Article

Background and enrollment characteristics of students with autism in higher education

Article on the background and enrolment characteristics of students with autism in higher education. Published in ‘Research in Autism Spectrum Disorders’, volume 67, November 2019.

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