Collaboration in experimental learning, innovation, and transition environments such as Living Labs can be complicated to carry out in practice. Designers and design researchers are often involved in these processes based on their intrinsic emphasis on transformation of the status quo towards new ways …

Experimental learning and innovation environments, such as living labs, field labs, and urban innovation labs, are increasingly used to connect multi-stakeholders in envisioning, creating, experimenting, learning, and trying out novel responses to diverse societal challenges. With designers facilitating …

This paper investigate to use of information technology, i.e. machine learning algorithms for water assessment in Timor-Leste. It is essential to access clean water to ensure the safety for humans and others livings in this world. The Water Quality Index (WQI) is the standard tool for assessing water …

Accurate localization in autonomous robots enables effective decision-making within their operating environment. Various methods have been developed to address this challenge, encompassing traditional techniques, fiducial marker utilization, and machine learning approaches. This work proposes a deep-learning …

A reflective goal-setting intervention could help students adjust to higher education, and improve their performance and well-being, as has been shown by small-scale and quasi-experimental studies conducted so far. However, a large experimental study found no effects, highlighting the importance of replication, …

Introduction: Given the complexity of teaching clinical reasoning to (future) healthcare professionals, the utilization of serious games has become popular for supporting clinical reasoning education. This scoping review outlines games designed to support teaching clinical reasoning in health professions …

Experimental Learning and Innovation Environments, such as Living Labs, Field Labs, and Urban Innovation Labs, are increasingly used to connect multi-stakeholders in envisioning, creating, experimenting, learning, and trying out novel responses to diverse societal challenges. With designers facilitating …

For people with early-dementia (PwD), it can be challenging to remember to eat and drink regularly and maintain a healthy independent living. Existing intelligent home technologies primarily focus on activity recognition but lack adaptive support. This research addresses this gap by developing an AI …

Self-regulated learning (SRL) is crucial to students’ learning. SRL is characterized by students taking initiative, showing perseverance and adaptively regulating their learning. Teachers play an essential role in promoting and fostering this process. However, several studies have shown that in primary …

A reflective goal-setting intervention could help students adjust to higher education, and improve their performance and well-being, as has been shown by small-scale and quasi-experimental studies conducted so far. However, a large experimental study found no effects, highlighting the importance of replication, …