Stephanie Kramer – DigitalLife.nl

AI als leerpartner in de klas

Leontine Born — Tue, 08 Sep 2026 15:00:10 +0000

Digital Life sleept een van de laatste Promotiebeurzen voor Leraren binnen!

Hoe kunnen we AI inzetten om leerlingen beter te ondersteunen, terwijl de leraar in control blijft? De komende vijf jaar houdt Stephanie Kramer, docent-onderzoeker bij het lectoraat Digital Life (FDMCI) van de Hogeschool van Amsterdam, zich met deze vraag bezig. Zij heeft een NWO Promotiebeurs voor Leraren ontvangen voor het onderzoek ‘Hybride intelligentie in de klas: ontwerpgericht onderzoek naar AI als leerpartner voor hoogbegaafde leerlingen in inclusief basisonderwijs’. Vanwege bezuinigingen van het kabinet zijn nieuwe rondes geschrapt.

Oplossing voor hoogbegaafde thuiszitters

In Stephanie’s onderzoek, dat per 1 september dit jaar van start is gegaan, draait het om hoogbegaafde leerlingen in het basisonderwijs. Zij hebben vaak behoefte aan meer uitdaging en maatwerk, terwijl leraren simpelweg niet altijd de tijd en middelen hebben om dat iedere dag te bieden.

De urgentie is groot: in Nederland zijn naar schatting 70.000 kinderen die niet naar school gaan, en daarvan is 25 tot 40% hoogbegaafd. Passend onderwijs voor deze groep is daarmee niet alleen een uitdaging in de klas, maar ook een maatschappelijk vraagstuk. ‘Kan AI leraren helpen om hoogbegaafde leerlingen de uitdaging te bieden die zij nodig hebben? En hoe doen we dat op een verantwoorde manier?’

Hybride krachten bundelen in een living lab

Het uitgangspunt is hybride intelligentie: menselijke intelligentie versterkt door AI. De leraar, leerling en AI werken samen, ieder vanuit hun eigen kracht — en de leraar houdt de pedagogische regie. Samen met leraren en leerlingen gaat Stephanie onderzoeken hoe zo’n AI-leerpartner collaboratief, adaptief, verantwoord én uitlegbaar ontworpen kan worden.

En dat gebeurt niet alleen achter een bureau. Het onderzoek vindt plaats in en met basisscholen en binnen Digital Life wordt een Living Lab Hybrid Intelligence opgezet. Daar komen leerlingen, leraren, onderzoekers en HvA-studenten samen om ideeën te bedenken, prototypes te bouwen en deze in de praktijk uit te proberen.

Kortom, vijf jaar lang onderzoeken, ontwerpen, testen en bijschaven aan een spannende vraag: hoe zorgen we ervoor dat AI de menselijke intelligentie in het onderwijs versterkt in plaats van vervangt?

Digi-doen

admin — Fri, 06 Feb 2026 16:17:12 +0000

Older adults with care needs are staying at home longer. This increases the pressure on home care due to more older people needing care combined with fewer professionals available to support them. Therefore, there is a focus on more self-management, informal care, and digital solutions. However, many older adults require professional support to maintain their daily functioning and social participation, where a social network is crucial.

A digital platform offers opportunities to support older adults in their daily functioning and social participation, in collaboration with (informal) care. The platform has features to encourage daily activities at home and participation in community activities, as well as support the network.

Although care and welfare professionals are increasingly open to digitally supported care, digital tools and interventions remain underutilized. Professionals are uncertain about how to integrate these into care while maintaining quality. Additionally, they have little confidence that older adults, especially those with fewer digital skills, will use the digital platform.

This project aims to support older adults with care needs and their networks in sustainably optimizing and maintaining daily functioning and social participation at home with the help of a network of professionals and informal care supported by digitalization. We do this by further developing, integrating, and evaluating an existing digital platform in collaboration with older adults, their social network, and professionals.

Image & Video

Project duration

Feb 2026 -1 Feb 2030

Project manager

dr Margriet Pol

Researchers

prof. dr Somaya Ben Allouch

dr Michel Oey

Stephanie Kramer MSc

Daniël Bossen, Faculteit Gezondheid, HvA

Jesse Aarden, Faculteit Gezondheid, HvA

Rick Kwekkeboom, Faculteit Maatschappij en Recht, HvA

Merel van Schravendijk, Faculteit Maatschappij en Recht, HvA

Funding

SIA RAAK-PRO

Partners

Intelligente thuiszorg voor dementie

admin — Tue, 01 Jul 2025 12:21:00 +0000

Reinforcement Learning-based Conversational System for Personalized Support

In the Netherlands alone, dementia affects approximately 290K people. As the population ages and caregiver shortages grow, supporting people with early-stage dementia to maintain their ability to live at home as long as possible becomes crucial. In this project we aim to develop an intelligent and conversational home system to enhance the quality of life for elderly people with early-stage dementia. We propose to use Artificial Intelligence (AI) techniques to provide personalized care by mapping the need and preference of individuals.

Built based on the just-in-time adaptive intervention (JITAI) design concept, the conversational system will adapt to contexts of individual users and therefore provide the right types of support at right timings taking account personal preferences and contextual status.

We will design and develop multimodal interventions (combining text, image, music, etc.) for target users, as well as the optimal deliver strategies on conservational interactions between the intelligent system and human users.

The project will fit under the umbrella of KIA social theme ‘Health & Care’. This innovation enables families and caregivers to leverage advanced AI technology for improved support, offering societal and economic benefits by enhancing care quality and easing the burden on caregivers.

CALL
Wanted: participants for this research, november 2025!

Project duration

1 Jul 2025 -30 Jun 2028

Project manager

Shihan Wang, Utrecht University

Researchers

prof. dr Somaya Ben Allouch
Stephanie Kramer MSc
dr Michel Oey
Wen-Tseng Chang, Utrecht University

Funding

CLICKNL

Partners

illi Engineering B.V.

HeartSpace

admin — Sat, 01 Mar 2025 14:20:00 +0000

Immersive Biofeedback Environment for Deep Relaxation

Work-related chronic stress is often ignored in our busy workday life, but it has been increasingly causing severe health problems and raising the public cost for stress-related. diseases. Biofeedback technique enables individuals to see inside their body and self-regulate their physiology in a healthy direction. It has been widely considered to be effective in chronic stress management but has long been limited to clinical settings, requiring support from doctors, on-screen interactions, and intrusive sensors worn by users.

This project aims to develop ‘HeartSpace’, an immersive biofeedback system helping individuals reduce stress. HeartSpace couples the user’s physiological data with digital interactive elements, including projections, sounds, and lighting, to create a virtual reality within a physical space.

Within HeartSpace, we explore the design of diverse MR experiences, such as the sensation of floating on clouds or flying through mountain valleys, to evoke relaxation. The user’s first-person perspective of the visual environment and soundscape are controlled by the user’s heart rate variability as a form of biofeedback, guiding the users to achieve deep relaxation through self-regulation.

As a research probe, HeartSpace explores how a physiology-driven environment can support individuals in reconnecting with their bodies to enhance health and well-being.

Project duration

1 Mar 2025 -31 Dec 2025

Project manager

Stephanie Kramer MSc

Researchers

prof. dr Somaya Ben Allouch
dr Bin Yu
Jaap Evenhuis, docent-onderzoeker CMD (HvA)
Bart-Jan Steerenberg, docent-onderzoeker CMD (HvA)
Immersive Lab Faculteit DMCI (HvA)

Funding

Zaaigelden Centre of Expertise Creative Innovation (CoECI)

Partners

Institute of Creativity (TIOC)

AMSOS

admin — Sun, 01 Oct 2023 13:49:00 +0000

AMSterdam jOint Selfmanagement study

Chronic joint disorders are common conditions patients come to the physiotherapist or exercise therapist with. Conditions such as osteoarthritis and rheumatism cause problems in daily functioning due to pain and reduced mobility. Cure is often not possible, but promoting self-management can prevent exacerbation.

Self-management refers to an individual’s abilities to manage the symptoms, treatment, physical and psychological consequences and lifestyle changes associated with a chronic condition.

Exercise therapists and physiotherapists play a central role in supporting self-management in patients with joint disorders. The deployment of online applications, including mobile applications, and online platforms, aimed at promoting self-management (defined in this proposal as Behavioural Intervention Technologies: BITs) can support patients with chronic joint diseases.

Here, it is crucial that BITs match users’ needs. Moreover, using BITs to support self-management requires a different way of working from professionals and adjustments in required competences, both from the client and professional.

However, for many professionals it is unclear how BITs can be used to increase self-management and how this can be combined with physical counselling. Therefore, in this two-year project, we investigate how exercise and physical therapists can shape coaching on self-management through BITs.

The central question in this study is:
‘In what ways can physio & remedial therapists use online applications to coach patients with chronic joint disorders in the best possible way to increase their self-management skills?’

Project duration

1 Oct 2023 -1 Oct 2025

Project manager

Daniel Bossen, Faculteit Gezondheid, Hogeschool van Amsterdam

Researchers

prof. dr Somaya Ben Allouch

Stephanie Kramer MSc

Tamara V. Pinos Cisneros

Funding

SIA RAAK Publiek

Partners

Wie Zorgt?

admin — Fri, 01 Jul 2022 13:56:00 +0000

The Development of an Intelligent Healthcare Environment that Supports Healthcare Professionals

CAUSE
The problem addressed by this research project is the high workload of care professionals in dementia care. Due to an increase in the number of elderly people with dementia, the demand for care is increasing, while the shortage of care professionals is growing. This workload can be greatly reduced by using smart technological innovations such as an Intelligent Care Environment.

HOW DOES AN INTELLIGENT CARE ENVIRONMENT WORK?
An Intelligent Care Environment uses sensor techniques and uses Artificial Intelligence (AI) to deliver personalized care by identifying and responding to care needs. The Intelligent Care Environment works together with the care professional. This solution direction is further elaborated in this project together with four healthcare parties and three innovative SME organisations.

Just-in-time adaptive interventions (JITAI) are developed based on the case ‘Support with food and drink’, so that the healthcare professional is supported in performing certain care tasks.
An example of an intervention is giving the person-adjusted sensory stimuli (sounds, lights and projections) at the right time that stimulate seniors to eat. Such interventions reduce the pressure on the healthcare professional and improve the quality of care.

ATTENTION TO HEALTHCARE PROFESSIONALS
Not only the integration of the AI modules is important, but also how the AI is ‘shown’ to the healthcare professional. That is why this project also pays extra attention to the interaction between healthcare professionals and the Intelligent Healthcare Environment, which increases ease of use and allows both client and healthcare professional to experience a higher degree of autonomy.

By further developing the prototype of the Intelligent Care Environment in healthcare institutions in collaboration with various healthcare professionals and paying attention to the development of AI and Interaction with the system, the wishes and needs of the healthcare professionals can be integrated into the Intelligent Care Environment. This is done in three iterations, with the three successive available living labs becoming increasingly complex and realistic.

The project has been featured in the first press newsletter of the Amsterdam University of Applied Sciences (2025).

Project duration

1 Jul 2022 -1 Jul 2024

Project manager

Stephanie Kramer MSc

Researchers

prof. dr Somaya Ben Allouch

drs Monique Schaule Jullens

dr Michel Oey

Wen-Tseng Chang

Saskia Robben

Funding

RAAK-Publiek (Regieorgaan SIA)

Partners

SO-NUTS

admin — Thu, 01 Apr 2021 14:52:00 +0000

Preventing obesity, sarcopenia, and Sarcopenic Obesity in retirement – digital personalized interventions for healthy NUTrition and physical activity for Seniors (SO-NUTS).

This research project is about prevention of unhealthy weight gain and obesity during crucial phases throughout the lifespan.

The aging population faces two conditions that threaten healthy aging: high fat mass (obesity) and low muscle mass and function (sarcopenia). Both conditions are independently associated with comorbidity, disability, low quality of life, and early death. The combination of both– referred to as sarcopenic obesity– synergistically increases the risk of adverse health outcomes. The two conditions often co-occur as they reinforce each other and share common aetiology, mainly poor nutrition and inactivity.

Although all aging people are at risk of gaining weight and losing muscle mass, during the transition from working life to retirement there is an even higher risk of becoming overweight and sarcopenic due to changes in hormonal status, poor nutritional intakes and lower physical activity levels. Even so, retirement offers a great window of opportunity to improve lifestyle, as older adults already need to restructure their daily activities. Furthermore, adopting a healthy lifestyle around the age of retirement offers sufficient time to prevent obesity, sarcopenia, sarcopenic obesity and provides long-term benefits, including healthy ageing and dependence in later life.

To stimulate weight loss/prevent weight gain while preserving muscle mass, it is critical that both physical activity and adequate nutrition be addressed. It is key to change behaviour in a sustainable manner, providing scientifically proven, personalized, and acceptable principles that can be integrated in daily life. Health technologies are promising tools for delivering personalized and appealing lifestyle interventions to a large group of people while keeping health care costs low. At this moment, there is a lack of effective sustainable interventions that focus on retirement as an important turning point to promote both nutrition and physical activity behaviour.

We aim to provide essential insights required to develop innovative strategies for preventing obesity, sarcopenia and sarcopenic obesity. Using these insights, we will design a personalized digital program focused on nutrition and exercise that helps empowering people to lose weight while preserving muscle mass and function. We focus on a population that is, on the one hand, at high risk of developing sarcopenic obesity, while on the other hand showing a great window of opportunity of adopting a healthier lifestyle.

Have a look at the SO-NUTS website for some useful videos regarding behavioral change for lifestyle improvement.

Image & Video

Project duration

1 Apr 2021 -31 Dec 2025

Project manager

prof. dr Peter Weijs, Amsterdam University of Applied Sciences (AUAS)

Researchers

prof. dr Somaya Ben Allouch

Josje Schoufour, AUAS

Funding

JPI Healthy Diet for Healthy Life (HDHL) (EU financiering)