Designing Nudges for Self-directed Learning in a Data-rich Environment

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This thesis addresses theoretical and practical aspects of identification and subsequent control of self-exciting point processes. The main contributions correspond to four separate scientific papers. In the first paper, we address the challenge of robust ...

In this paper, we propose and compare personalized models for Productive Engagement (PE) recognition. PE is defined as the level of engagement that maximizes learning. Previously, in the context of robot-mediated collaborative learning, a framework of prod ...

Over the past few years, there has been an increase in the use of chatbots for educational purposes. Nevertheless, the chatbot technologies and architectures that are often applied to educational contexts are not necessarily designed for such contexts. Whi ...

Learning journals are increasingly used in vocational education to foster self-regulated learning and reflective learning practices. However, for many apprentices, documenting working experiences is a difficult task. In this paper, we profile apprentices' ...

By offering courses and resources, learning platforms on the Web have been attracting lots of participants, and the interactions with these systems have generated a vast amount of learning-related data. Their collection, processing and analysis have promot ...

Whilst, in many countries, the sudden enforced transfer to large-scale distance learning in state schools as a result of COVID_19 lockdown measures caused turmoil, it also provided an unprecedented opportunity to understand more about key factors associate ...

This work proposes a novel strategy for social learning by introducing the critical feature of adaptation. In social learning, several distributed agents update continually their belief about a phenomenon of interest through: i) direct observation of strea ...

Online education platforms play an increasingly important role in mediating the success of individuals' careers. Therefore, while building overlying content recommendation services, it becomes essential to guarantee that learners are provided with equal re ...

The learning process depends on the nature of the learning environment, particularly in the case of open-ended learning environments, where the learning process is considered to be non-linear. In this paper, we report on the findings of employing a multimo ...

Despite the importance of learning analytics in digital education, there is limited support for researchers in education to generate, access, and share experimental data while complying with ethical and privacy legislation. We propose a set of related tool ...

This work explores the development and the analysis of an efficient reduced order model for the study of a bifurcating phenomenon, known as the Coanda effect, in a multi-physics setting involving fluid and solid media. Taking into consideration a fluid-str ...

The emergence of digital technology is changing education in many ways. A particularly interesting aspect of this transformation is the development of learning environments that can automatically adapt to individual students and can collect data in order t ...

To operate the railway system safely and efficiently, a multitude of assets need to me monitored. Railway sleepers are one of these infrastructure assets, that are safety critical. To automate the monitoring process, data-driven fault diagnostics models ha ...

Designing and implementing online or digital learning material is a demanding task for teachers. This is even more the case when this material is used for more engaged forms of learning, such as inquiry learning. In this article, we give an informed accoun ...

Humans have an incredible sense of self-preservation that is both instilled, and also learned through experience. One system which contributes to this is the pain and reflex system which both minimizes damage through involuntary reflex ac- tions and also s ...

Designing Nudges for Self-directed Learning in a Data-rich Environment

Chattez avec Graph Search

Self-Exciting Point Processes: Identification and Control

Personalized Productive Engagement Recognition in Robot-Mediated Collaborative Learning

A Blueprint for Integrating Task-Oriented Conversational Agents in Education

Evolutionary Clustering of Apprentices' Self- Regulated Learning Behavior in Learning Journals

L2D 2021: First International Workshop on Enabling Data-Driven Decisions from Learning on the Web

Emergency adaptation to distance learning: no magic bullet, but where there’s a will, there’s a way

Adaptive Social Learning

Equality of Learning Opportunity via Individual Fairness in Personalized Recommendations

Temporal Pathways to Learning: How Learning Emerges in an Open-ended Collaborative Activity

An End-to-End Data Pipeline for Managing Learning Analytics

Model order reduction for bifurcating phenomena in fluid-structure interaction problems

Learning Analytics for Adaptive and Self-Improving Learning Environments for Inductive Teaching

Contrastive Feature Learning for Railway Infrastructure Fault Diagnostic

Understanding teacher design practices for digital inquiry-based science learning: the case of Go-Lab

Bio-inspired Reflex System for Learning Visual Information for Resilient Robotic Manipulation