Jul 052011
Thomas Martens

Thomas Martens

Thomas Martens is Professor for Educational Psychology at the Medical School Hamburg.  The motivational researcher manages the projects SensoMot and Motdesign. He is Editor-in-Chief of Frontline Learning Research.

Oct 162020

SIG 27 Conference 2020

The next SIG 27 Conference 2020 will be held online

The theme of the SIG 27 Conference 2020 will be “Sharpening the facets of online measures: Research at the cutting edge.” The scientists that like to discuss Online Measures of Learning Processes will meet online. They will investigate the course of learning processes with new and multi modal methods like eye-tracking, brain-imaging methods, psychophysiological measures such as EDA and heart rate variability, video data, log data and observational data. And they will track these different measure on multiple chanels for better understanding of learning processes.

The conference will be jointly organized by the SIG 27 and University of Antwerp, Belgium.

Conference Dates: 14 to 16 December, 2020
Deadline for Registration for presenters: November 20th
Deadline for Registration for all others: December 1st
Preliminary Programme: https://www.uantwerpen.be/en/conferences/sig27-conference/programme/conference-programme/
Conference Website: https://www.uantwerpen.be/en/conferences/sig27-conference/#
Conference Contact: SIG27@uantwerpen.be

Nov 292019

Systematic Reviews in Educational Research – an Open Acess Handbook

Systematic Reviews in Educational Research

This new and Open Access Handbook of Systematic Reviews in Educational Research covers different aspects of a systematic review: methodical considerations, reflections as well as practical examples and applications. For example in Chapter 2 section 4 a reflection on Transparent Methodological Assessment of Studies is provided.
This book is edited by Olaf Zawacki-Richter, Michael Kerres, Svenja Bedenlier, Melissa Bond and Katja Buntins.

The full book can be downloaded from Springer for free as PDF or as EPUB.

All chapters can also be dowonloaded separately as PDF here.

Target Groups Researchers, instructors, and students in the field of education and related disciplines
ISBN: Print ISBN 978-3-658-27601-0 Online ISBN 978-3-658-27602-7
DOI: https://doi.org/10.1007/978-3-658-27602-7
Licence: CC BY

Nov 132019

Thinking in the Universe – Are there Intelligent Species in the Galaxy?

thinkint in the universe

Great Stars from Hubble. Photo by NASA.

In his book “Brief Answers to the Big Questions” in chapter three, Stephen Hawking raised the question of whether there can be intelligent living beings in the universe. My answer would be “yes” – there must be intelligent and thinking beings in the universe. But first the question has to be answered what thought processes are needed for – in general.

Thinking becomes necessary living in a changing environment. Through calculating or holistic thinking processes, changes can be anticipated and the chance of survival of a species can systematically be increased. And it can also be assumed that most environments in the universe will change.

Even at the quantum level it can be seen that location and impulse cannot be determined simultaneously. This unpredictability is already hidden in the micro level and probably continues onto the macro level. Conversely, it can be concluded that the unpredictability of many worlds in the universe increases the chance for thinking living beings. On a galactic scale, there should therefore be a multitude of beings who gain an advantage by thinking.

This of course raises the question why we haven’t been visited by extraterrestrials long ago. Stephen Hawking himself gives a possible answer: probably, the aggressive species have usually destroyed themselves, while the peaceful ones have no interest in reaching or destroying other habitable planets.

Sep 022019

Hurricane Dorian crawls slowly but with unmatchted power …

Climate activists have predicted this for a long time, starting in the early eighties, that the average temperature would rise. But they were wrong. It turns out that climate change will faster progress than predicted in the eighties.
One of the very obvious results of climate change is the rising surface level temperature of tropic oceans. This may not automatically result in more hurricanes because of the complex weather dynamics. But there is an association proved by the observed rise of the Power Disspation index within the last years.
So Dorian is very probable also a result of climate change.
hurricane dorian crawls slowly

I think the inhabitants of the Bahamas will suffer greatly, because the eye of the hurricane Dorian is moving very slowly. Sadly it will bring very strong winds and a lot of rainfall to the Bahamas in the next two days.
Projected track of Dorian: https://kachelmannwetter.com/de/wirbelsturm-tracks/euro/521e26e30d5bd578cbebd672be4f040f/2019090200-240-dorian.html
Satellite image of Dorian: https://kachelmannwetter.com/de/sat/786-w-268-n/satellit-superhd-1min.html#play8
Weather forecast for the Bahamas: https://weather.us/forecast/3572375-freeport/essentials

May 152019

Motivation to Study: 24 Tips for Teachers

Do you experience this sometimes? The students in your seminars are bored, lethargic and have no desire to follow your lessons? You do not know how to increase the motivation to study?

Then I have 24 tips for you, how to increase the motivation to study! These tips are derived from my recent research projects and the Integrated Learning and Action from:

Motivation zum Studieren

Motivation to study: The beginning

In the beginning, students need to realize what to expect. You can support this internalization process by providing in-depth information about the learning topic. The students can then establish a first learning orientation for themselves. They should be more or less aware of where their own strengths and weaknesses lie. The focus should be on the learning process and not so much on the content. Learning should always be a self-transformation. Another favorable prerequisite for a motivation to study are free choices, such as the learning topic. This promotes the autonomy experience and increases the basic motivation to learn by assuming responsibility.

  • Provide more in-depth information about the learning process and learning theme in advance
  • Transparent communication of learning objectives and learning challenges (without arousing fears)
  • Provision of tools for self-diagnosis of prior knowledge
  • Variety of learning topics (for free choice)
  • Creating a fearless learning climate
  • Implement phases of relaxation in the learning process
  • Consideration of the heterogeneity of learning motivations
  • Workshop on Motivating to Study: Tips for Teachers

    Are you interested in this topic? You can book an one-day Workshop for university teachers.


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    Image by wagrati_photo from Pixabay

    May 102019

    reMarkable Test
    reMarkable Test – What is a reMarkable?
    A reMarkable looks and feels like a big E-book reader. The display of the reMarkable is a very readable LCD liquid crystal display: black writing on a light gray background. The real secret of the reMarkable lies in the nature of its surface: it is a rough plastic. In combination with the fiber tip of the reMarkable pen, this results in a writing feeling that is very close to writing with a pencil on paper.

    What can you do with a reMarkable?
    Mainly writing – and in all variations: with line support or blank or on a number of other templates. It would also be possible to draw – such as small mind maps. The writing process is supported by different types of pencils and three eraser functions – also with a very practical aera fuction. You can use different planes for editing – this is especially handy for commenting PDF documents or E-books in E-PUB format.

    How does the reMarkable fit into the “normal” workflow?
    With the reMarkable APP, which runs equally well on PC and mobile phone and tablet, the documents are synchronized (tested with Windows 10 and lOS) The documents that were created on the reMarkable are immediately assssible on the PC and can be exported as picture or PDF. Conversely, you can drag and drop PDF documents and e-pub files into the reMarkable app and then immediately process them on the reMarkable. On the reMarkable there is also a fonts recognition feature available (this text was also created on the reMarkable).
    The results of this text recognition is very good with normal wording and works almost as well for the German language as for the English. However, the results of the speech recognition can not be saved so far and must be further processed by mail.

    reMarkable Test Technique
    Inside the reMarkable is a 1GHz ARM -19 with 512MB DDR 3L RAM and 8GB memory. The Codex operating system, which is based on Linux, masters all tasks without delay. The e-ink display works with a resolution of 1827 × 1404 dots on a 10.3 “diagonal, which corresponds to a resolution of 226 DPI A beautiful display that is completely sufficient for writing A backlight is not present The speed of the E-ink displays is of course – due to the design – something sluggish, which is noticeable in the construction of new pages – something like an e-book reader.The battery with 3000 mA can be charged via micro USB and lasts for several days, the pen does not need power, and at the end has a small storage for a replacement tip – very handy.

    reMarkable Test – Conclusion
    All the details of the reMarkable are really well thought out. You realize that the developers have gone to great lengths to think about everything.
    But most importantly, it’s fun to write with. And although I can type with 10 fingers quickly, I prefer writing with a pen. The reMarkable has replaced all my notebooks after a short time. ☺ And that actually says it all. A clear buy recommendation for those who need a lot of writing and prefer to work with a pen rather than a keyboard.

    Here you can find a discount of 80 euros on the reMarkable.


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    Jul 262018

    Presentations from the fifth biennial SIG22 Neuroscience and Education conference

    Monday 4th – Wednesday 6th June 2018
    ​London, United Kingdom

    Neuroscience and Education

    SIG 22 brings together researchers from the fields of educational science, cognitive psychology, developmental psychology, genetics, and neuroscience as well as interdisciplinary people with training in each of these fields, all of which investigate human learning and development. Taking interdisciplinarity as a basic principle, the SIG conceives the relation between educational research and neuroscience as a two-way street with rich bi-directional and reciprocal interactions between educational research and (cognitive) neuroscience.

    10 Presentations in total:

    Paul Howard-Jones, Konstantina Ioannou and the PGCE team, Shu Yau and *Tim Jay
    University of Bristol, Sheffield-Hallam University
    PDF YouTube

    Jul 252018

    Motivated learning

    First of all, one might wonder if motivated learning is necessary at all. Is is not possible to learn without motivation? At least as far as short-term learning success is concerned, this question must be answered positively: it is possible to successfully learn without motivation. However, the empirical results from our “Zeitlast” (workload) studies also show that such a learning outcome without motivation is usually accompanied by a greater perceived effort and a higher objective time requirement. It may also be assumed that the acquired knowledge content is less accessible – in particular, that the transfer to new situations is disrupted resulting in some inertia of the knowledge thus acquired.

    Motivated Learning

    Conversely, it can be inferred that motivated learning requires less personal effort, is more time-effective and the resulting knowledge is more universally applicable.

    These advantages of motivated learning are directly related to the fact that intrinsic motivation is linked to the self-system “extension memory” already described in the blogpost 1 “Descartes’ Error“. The right hemispheric extension memory accompanies and enables the internalization processes necessary to perform a learning task with intrinsic motivation.

    Here, the extension memory has a threefold function:

    1. It allows feeling the fit between learning tasks and the learner and thus creating a first internalization of the learning task. Subsequently, an ascription of responsibility for the learning task can be developed.
    2. The extension memory also accompanies the experience of self-efficacy. In particular, whether a particular learning method or learning strategy really suits you.
    3. In the actual performing of the learning action, the extension memory will assess whether I continue to feel comfortable with the concrete learning processes.

    The activation of the extension memory in the learning process is thus the prerequisite for a holistic association of the self with all phases of the learning process. A large correspondence between the self and the learning regulation will trigger the effects of an intrinsic motivation:

    • Learning is easy and time flies by (flow experience).
    • Through a high degree of associations with the self-system many methods can be associated that can be used flexibly during the learning process.
    • A close connection with the self-system also enables a better self-motivation, which allows a constructive handling of setbacks and, if necessary, guarantees a longer study of the subject matter.
    • Finally, strong associations of the acquired knowledge with the self-system result in a more flexible retrieval of the knowledge content in different situations and thus promotes a high retention performance.

    The next blog post will explain how a learning environment can be designed in such a way that the highest possible intrinsic motivation for learning can emerge (motivated design).


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    Jul 172018
    descartes error

    Ivan Blažetić Šumski

    Descartes, with his sentence “cogito, ergo sum” (I think, therefore I am), has declared thinking as the basis of humanity like no other philosopher. Of course, it is easy to understand conscious thinking as the central process of being human. However, is this true?

    Let’s do a simple thought experiment: when I think of violence, am I a criminal? When I think of giving presents to someone else, am I a benefactor?

    Even in this simple thought experiment, it becomes clear that conscious thinking can always focus on just one point – just as speaking does. Does this one focus defines human being? Hardly likely.

    descartes error

    Balthasar Moncornet

    What constitutes humanity much more is the sum of the experiences of a human being. This wealth of experiences could therefore be considered as being human.

    The exciting question is now how we draw on this wealth of experience. Certainly, we can consciously remember a single event in our past. However, does that help us to recognize who we are?

    There is one system that is able to assess the vast majority of personal experiences at once. Personality psychologist Julius Kuhl calls this system “extension memory”. This system can assess a person’s wealth of experience in a parallel and holistic way and gives a feeling as a result of this assessment.

    This self-system or so-called extension memory becomes especially important when it comes to assessing and evaluating social interaction in a matter of seconds. For example, when I meet a person I did not know before, after a very short time I know how to judge that person.
    Maybe this first assessment is not very accurate. But at least it gives an indication of how I should deal with this person in the future. Thus, the extension memory is capable of retrieving all associations with a new person within a very short period of time and of pooling those associations in a feeling for that person. Therefore, if everything goes well, within a few moments I know if I can trust this person. Or if I’d rather avoid this new person.

    The extension memory is also responsible for a whole series of processes, such as the intrinsic motivation for learning, which we just demonstrated in the current research project Sensomot – read this in the next blog post “motivated learning“.

    So we can say with certainty that Descartes was wrong. This sentence might be much more accurate:
    “Sentio, ergo sum.” (I feel, therefore I am)

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    Jul 042018

    The Emerging Field Group initiative is intended to support researchers active in innovative and exciting fields. EARLI Emerging Field Groups (EFG) consist of a small group of internationally active researchers working in the field of learning and instruction active within a new, emerging field of research. EARLI offers these researchers the opportunity to work together during a short but intense period of time to explore the possibilities in their shared field of interest.

    EARLI Emerging Field Groups

    EFGs are intended for exploratory, innovative and risk-taking approaches. Being part of an Emerging Field Group allows for its participants to focus on experimental and new fields of research, with an emphasis on exploration and process rather than output and product.

    Following a lengthy evaluation procedure, four applications have been granted the EARLI Emerging Field Group funding for 2018 – 2020.

    Portable Brain Technologies in Educational Neuroscience Research
    led by Nienke van Atteveldt, VU Amsterdam, the Netherlands

    The Potential of Biophysiology for Understanding Learning and Teaching Experiences
    led by Lars-Erik Malmberg, Oxford University, United Kingdom

    Unifying Cognitive Load and Self-Regulated Learning Research: Monitoring and Regulation of Effort (MRE)
    led by Anique de Bruin, Maastricht University, the Netherlands

    EarlyWritePro: Developing Methods for Understanding Early Writing through Analysis of Process Dysfluencies
    led by Mark Torrance, Nottingham Trent University, United Kingdom

    The first two EARLI emerging field groups nominees show that triangulation and combination of new data sources like portable EEG and other physiological data promise new insights into learning and regulation processes. It can be expected that these emerging fields will gain strength within in the scientific community for the next years.

    Dec 012017
    Learning Outcomes

    It is creeping back … always.

    The Concept of Learning Outcomes Often Follows Behaviourist Tradtion

    Learning outcomes as a concept has encountered a revival since the beginning of the Bologna process in 1999. The concept itself has a longer history with its roots in the behaviourist tradition of the 1960s. The goal of this review is to study how the historical roots of learning outcomes are noted in current research articles since the launch of the Bologna process and whether the concept of learning outcomes is used critically or uncritically. The review of 90 articles shows that the behaviourist tradition is still evident in the 21st century research with 29% of the articles directly and 11% indirectly referring uncritically to the respective publications or to the behaviourist epistemology.

    Citation: Murtonen, M., Gruber, H., & Lehtinen, E. (2017). The return of behaviourist epistemology: A review of learning outcomes studies. Educational Research Review, 22(Supplement C), 114-128.

    Find the full article here: https://doi.org/10.1016/j.edurev.2017.08.001

    Find more interesting articles here.

    Nov 202017
    test-taking engagement

    Test-taking behavior is influenced by both the to-be assessed competency and individual test-taking engagement. Test-taking behavior is used to draw inferences about competency (response data) and can also be used to judge test-taking engagement (response time data). The expectancy of solving an item successfully and the personal value of taking the test are considered antecedents of test-taking engagement.

    Conditioning factors of test‑taking engagement in PIAAC: an exploratory IRT modelling approach considering person and item characteristics


    A potential problem of low-stakes large-scale assessments such as the Programme for the International Assessment of Adult Competencies (PIAAC) is low test-taking engagement. The present study pursued two goals in order to better understand conditioning factors of test-taking disengagement: First, a model-based
    approach was used to investigate whether item indicators of disengagement consti-tute a continuous latent person variable by domain. Second, the effects of person and item characteristics were jointly tested using explanatory item response models.

    Analyses were based on the Canadian sample of Round 1 of the PIAAC, with N= 26,683 participants completing test items in the domains of literacy, numeracy, and problem solving. Binary item disengagement indicators were created by means of item response time thresholds.

    The results showed that disengagement indicators define a latent dimension by domain. Disengagement increased with lower educational attainment, lower
    cognitive skills, and when the test language was not the participant’s native language. Gender did not exert any effect on disengagement, while age had a positive effect for problem solving only. An item’s location in the second of two assessment modules was positively related to disengagement, as was item difficulty. The latter effect was negatively moderated by cognitive skill, suggesting that poor test-takers are especially likely to disengage with more difficult items.

    The negative effect of cognitive skill, the positive effect of item difficulty, and their negative interaction effect support the assumption that disengagement is
    the outcome of individual expectations about success (informed disengagement).

    Full Article:
    Goldhammer, F., Martens, T. & Luedtke, O. (2017). Conditioning factors of test-taking engagement in PIAAC: an exploratory IRT modelling approach considering person and item characteristics. Large-scale Assessments in Education, 5, 18. DOI: 10.1186/s40536-017-0051-9 [html, pdf]

    Please find other publications here.

    Nov 102017

    Handbook of Learning Analytics
    This new and free Handbook of Learning Analytics covers a broad sprectrum of topics including Emotion (from Sidney D’Mello) and Self-Regulated Learning (from Philip Winne).

    This book is edited by Charles Lang, George Siemens, Alyssa Wise & Dragan Gašević

    The full book can be downloaded for free here (CC BY 4.0)

    Citation: Lang, C., Siemens, G., Wise, A., & Gašević, D. (Eds.). (2017). The Handbook of Learning Analytics. Society for Learning Analytics Research.
    ISBN: 978-0-9952408-0-3
    DOI: 10.18608/hla17

    Find the table of content here.

    Nov 082017

    PSI Theory

    Buildung on the central contributions of Julius Kuhl like the PSI Theory leading researchers including Charles S. Carver and Richard M. Ryan reflect the implications for their own work.

    This book is edited by Nicola Baumann, Miguel Kazén, Markus Quirin & Sander L. Koole

    The first chapter can be dowloaded here.
    The book ISBN: 9780889375406 can be bought here.

    Citation: Baumann, N., Kazén, M., Quirin, M., & Koole, S. L. (Eds.). (2018). Why People Do the Things They Do. Göttingen: Hogrefe.

    Please find the table of content here.

    Jul 282016

    Workshop LernmotivationThomas Martens conducted a workshop on 30 June 2016 at the TU Dresden with the title “Fostering Learning at University: the Heterogeneity of Motivational Processes”. This workshop showed different ways of learning motivation and how the individual learning processes of students can be promoted. Workshop Lernmotivation

    As theoretical basis served the Integrated Model of Learning and Action (IMLA) which divides the typical processes of learning in three main phases (motivation, intention and volition phase) and defines the relationship to the findings in neuro science from Julius Kuhl (2000).

    Photo: kanenas.net

    Jul 272016

    Motivation PotenzialentfaltungAt the conference of “Bildung und Begabung” [Education & Giftedness] 31 May 2016 with the title “Perspektive Begabung: Diversität als Chance” [Future of Giftedness: Diversity as an Opportunity] Thomas Martens delivered a keynote entitled “Motivation and Educational Perspectives of Gifted Children”.

    While one child follows his interests and develops remarkable skills herein, the other child seems rather lackluster and disinterested. Researcher have long been agreed that motivation is a driving factor when giftedness is translated into performance. As different as young people are so different are their motivation profiles. Family, friends, and teachers – they all influence the development of motivation. This can be promoted by empathetic caregivers or be attenuated in critical phases of life. How can we, in the face of these different conditions, support children and young people developing motivation and regulating them properly? How can school or other learning environments handle these motivation processes? What help can be offered?

    A podcast of this talk is online (german only):

    Jul 262016

    Transitions_smallThis chapter discusses transitions towards learning at university from a perspective of regulation processes. The Integrated Model of Learning and Action is used to identity different patterns of motivational regulation amongst first-year students at university by using mixed distribution models. Five subpopulations of motivational regulation could be identified: students with self-determined, pragmatic, strategic, negative and anxious learning motivation. Findings about these patterns can be used to design didactic measures to support students’ learning processes.

    Please find a preview of this chapter here.

    Please cite this chapter as: Martens, T. & Metzger C. (in press). Different Transitions of Learning at University: Exploring the Heterogeneity of Motivational Processes. Erscheint in E. Kyndt, V. Donche, K. Trigwell & S. Lindblom-Ylänne (Eds.), Higher Education Transitions: Theory and Research. EARLI Book Series “New Perspecitves on Learning and Instruction”. London: Routledge.

    Apr 012016

    New research projekt started: Sensor Measures of Motivation for Adaptive Learning (SensoMot)

    Research Project SensoMot

    Motivation is one major factor for facilitating deep learning processes. The goal of the research project „SensoMot“ is to predict critical motivational conditions using sensor measures. By deriving adaptive mechanisms, the learning process can subsequently be tailored to the motivational needs of the learner (project description).

    Jul 032015

    ILHM2015This article examines conditions for a successful motivation for education and training: Why can many teenagers and young adults easily motivate themselves for schools and education, while other show serious motivational difficulties? On the base of identified motivational processes measures are suggested that educational institutions can provide.

    [http://nbn-resolving.de/urn:nbn:de:0111-pedocs-109762] [pdf]

    (available in German language only – sorry!!!)