Matthieu Hausman

Dr. Matthieu Hausman

Education Sciences, University of Liège, Liège, Wallonia, Belgium
orcid

Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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22 June 2023 in Learning and Instruction
Verified
Journal Article
Closed access
Matthieu HausmanMatthieu Hausman
Matthieu Hausman
PDPascal Detroz
Pascal Detroz
BPBenoît Pétré
Benoît Pétré
MGMichèle Guillaume
Michèle Guillaume
Jacinthe DancotJacinthe Dancot
Jacinthe Dancot

11 October 2022 in Assessment & Evaluation in Higher Education
Verified
Journal Article
Open access
Matthieu HausmanMatthieu Hausman
Matthieu Hausman
Jacinthe DancotJacinthe Dancot
Jacinthe Dancot
BPBenoît Pétré
Benoît Pétré
MGMichèle Guillaume
Michèle Guillaume
PDPascal Detroz
Pascal Detroz
Previous studies on the factors that can affect self-esteem and clinical skills during training among bachelor’s-level nursing students in Belgium have shown that internships – and evaluation and feedback moments, more specifically – were key points in that process. We did a study to better understand how students experience those moments and which specific aspects of feedback are involved. This article focuses on how feedback is experienced and on the consequences of that in terms of learning. Here we identify the aspects of feedback that can result in positive or negative experiences, with different implications for learning. Our findings highlight the key role that – along with valence – the focus and tone of feedback plays. In addition, students’ lived experience can heighten or dampen their motivation to act on feedback and affect how they regulate their learning behavior when feedback is experienced either positively or negatively. Generally speaking, students show resistance or rejection when feedback is experienced negatively. While these results are consistent with other studies, further research is needed to explore the emotional process at work in feedback processing.

1 January 2023 in Mesure et évaluation en éducation
Verified
Journal Article
Open access
Matthieu HausmanMatthieu Hausman
Matthieu Hausman
LLLaurent Leduc
Laurent Leduc
LMLaura Malay
Laura Malay
SDSophie Delvaux
Sophie Delvaux
PDPascal Detroz
Pascal Detroz
Dans cette étude, nous avons entrepris de mesurer les compétences émotionnelles des étudiants et d’analyser leur mobilisation dans le traitement d’un feedback formatif à l’université. Nous avons pour cela réalisé un questionnaire mesurant les compétences émotionnelles des étudiants, l’intensité des émotions associées au traitement d’un feedback formatif à distance, plusieurs composantes des croyances motivationnelles et la perception d’utilité du feedback ciblé. Cet article présente les résultats obtenus à partir des réponses de 52 étudiants. Nos analyses attestent notamment du bon niveau des compétences émotionnelles des étudiants et de la pluralité des émotions vécues dans le cadre du traitement d’un feedback. Nous n’avons pas pu établir de liens significatifs entre les variables mesurées et la perception d’utilité du feedback en évidence. Cependant, certaines d’entre elles sont liées aux émotions vécues par les étudiants et à leur intensité, comme le score obtenu et, dans une moindre mesure, certaines croyances motivationnelles.

14 July 2026 in EdArXiv
Verified
Preprint
Open access
SSSara Da Silva
Sara Da Silva
JBJean-Louis Berger
Jean-Louis Berger
Matthieu HausmanMatthieu Hausman
Matthieu Hausman
Motivational self-regulation (MSR) is recognized as a situated process, yet most research examines it independently of the motivational challenge that triggers it. Grounded in Situated Expectancy–Value Theory, this mixed-methods study examined how 60 university students reported self-regulating motivation across three scenarios: low subjective task value, low success expectancy, and high perceived opportunity cost. Written responses were coded using deductive and inductive categorical content analysis and compared using Friedman tests. Strategy mobilization varied significantly across scenarios: Environmental control predominated under low subjective task value, Cognitive strategies and Disengagement predominated under low success expectancy, and Need satisfaction was more salient under high opportunity cost. Inductive coding also identified three underrecognized strategies—Active procrastination, Need satisfaction, and Situational goal adjustment—extending existing MSR taxonomies. Under low success expectancy, few strategies directly targeted the underlying motivational problem, with students favoring self-protective coping, suggesting a narrow repertoire for regulating motivation when success appears unlikely.

1 January 2023 in Mesure et évaluation en éducation
Verified
Journal Article
Open access
Matthieu HausmanMatthieu Hausman
Matthieu Hausman
LLLaurent Leduc
Laurent Leduc
LMLaura Malay
Laura Malay
SDSophie Delvaux
Sophie Delvaux
PDPascal Detroz
Pascal Detroz
The aim of this study is to better understand the emotions that emerge in university students when processing feedback, how they affect the process, and the influence of emotional competencies and motivational beliefs. To this end, a questionnaire was developed to measure students’ emotional competencies, intensity of emotions associated with processing distance formative feedback, several components of motivational beliefs, and perceived usefulness of targeted feedback. This paper presents the results obtained from 52 students. The analyses show that the students’ emotional competencies are well developed, and that they experience a wide range of emotions when processing feedback. It was not possible to identify any significant links between the variables measured and the perceived usefulness of feedback. However, some are linked to the emotions experienced by students and their intensity, such as the score obtained and, to a lesser extent, certain motivational beliefs.