‘How Would you Score Yourself?’: The Effect of Self-assessment Strategy Through Robots on Children’s Motivation and Performance in Piano Practice

This research examines how to design social robots to support self-regulated learning skills for piano practice. More specifically, a social robot is used to provide feedback to children and initiate self-assessment. To assess the impact of this approach on children’s motivation and performance, we conducted an experiment in a music school...

External and internal influences on mobile phone use while driving: Combining the theories of deterrence and self-determination

Objectives: Various legal countermeasures have been introduced in numerous jurisdictions worldwide to reduce the risky behaviour of phone use while driving. However, external factors do not influence behaviour alone; internal factors may also play a large role in influencing behaviour. Therefore, the aim of this study was to examine the impact...

Can We Empower Attentive E-reading with a Social Robot? An Introductory Study with a Novel Multimodal Dataset and Deep Learning Approaches

Reading on digital devices has become more commonplace, while it often poses challenges to learners' attention. In this study, we hypothesized that allowing learners to reflect on their reading phases with an empathic social robot companion might enhance learners' attention in e-reading. To verify our assumption, we collected a novel dataset ...

Facilitating goal setting and planning to enhance online self-regulation of learning

Online learning environments demand learners to self-regulate their learning but many learners are poor at self-regulated learning (SRL). In this paper, two studies were conducted to examine the effect of two SRL supports, i.e., guiding goal setting and planning using an approach known as mental contrasting and implementation intentions (MCII...

Quantum of choice: How learners' feedback monitoring decisions, goals and self-regulated learning skills are related

Learning analytics dashboards (LADs) are designed as feedback tools for learners, but until recently, learners rarely have had a say in how LADs are designed and what information they receive through LADs. To overcome this shortcoming, we have developed a customisable LAD for Coursera MOOCs on which learners can set goals and choose...

Collective Decision Making through Self-regulation: Mechanisms and Algorithms for Self-regulation in Decision-Theoretic Planning

This thesis explores the potential of self-regulation in collective decision making to align interests and optimise joint performance. Demonstrated in the domain of road maintenance planning, this research contributes novel incentive mechanisms and algorithmic techniques to incite self-regulation and coordinate agent interactions, paired with a...

From students with love: An empirical study on learner goals, self-regulated learning and sense-making of learning analytics in higher education

Unequal stakeholder engagement is a common pitfall of adoption approaches of learning analytics in higher education leading to lower buy-in and flawed tools that fail to meet the needs of their target groups. With each design decision, we make assumptions on how learners will make sense of the visualisations, but we know very little about how...

Can multiple contractors self-regulate their joint service delivery?: A serious gaming experiment on road maintenance planning

The next step in the use of innovative, dynamic and performance-based contracts for service delivery by contractors could be use of monetary incentives to stimulate self-regulation of the network. Because it is currently unclear how performance-based payments in network tenders can effectively encourage network members to coordinate their own...

SRLx: A Personalized Learner Interface for MOOCs

Past research in large-scale learning environments has found one of the most inhibiting factors to learners’ success to be their inability to effectively self-regulate their learning efforts. In traditional small-scale learning environments, personalized feedback (on progress, content, behavior, etc.) has been found to be an effective solution...

From networks to hybrids: Strategic behaviour and crisis-driven change in the regulation and governance of the European financial and economic system,

A key challenge that European decision-makers struggle with today is regulating and governing the European financial and economic system in a way that is both effective and legitimate. To help address this challenge, this paper asks why regulatory gaps occurred and European governance has been weak, and how these gaps and weaknesses allowed...

Amongst rulemakers: Conceptualizing the role of intermediaries for co-regulation

Public regulators are increasingly accepting helping hands for carrying out their regulatory activities – such as standard setting, information gathering, and enforcement. These helping hands often belong to private actors that also regulate businesses for their own compliance programs, like industry associations and scheme managers. One can...

Self-regulating Fields and Networks: Elasticity in material performance and spatial organization: design tool development and material studies

This paper will explore the connection between two theoretical models, initially identified as the Field and the Network Conditions (Allen, 1997; Wigley, 2001) and material based studies in architectural design, conducted as a sequence of experiments. A number of prototypical models have been produced to test the practical and theoretical...

Waste and innovation. How waste companies and government can interact to stimulate innovation in the Dutch waste industry

This thesis answers the question how government and Dutch waste companies can interact in such a way that innovation is stimulated. The author has developed a method to determine the potential for self-regulation and self-control of a company or an industry. This method is based upon the measurement of degree to which the company has assured...