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

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Interactive simulations enhance science education and foster inquiry skills, but their open-ended nature can be cognitively overloading. While adaptive systems offer timely support, research on predicting conceptual understanding in these environments is l ...

Overview This dataset provides high-resolution, georeferenced vehicle trajectories collected via drone footage at three roundabouts located in the municipalities of Frick and Laufenburg, Canton of Aargau, Switzerland. The data were collected as part of a ...

The advancement of data-driven decision making has become a key priority in political agendas and private sector strategies. However, the growing demand for data and the opacity of data-driven systems raise concerns about the threats to individual privacy ...

By offering a large number of highly diverse resources, learning platforms 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 h ...

This article presents FRCSyn-onGoing, an ongoing challenge for face recognition where researchers can easily benchmark their systems against the state of the art in an open common platform using large-scale public databases and standard experimental protoc ...

GRE@T-PIONEeR is a Horizon 2020 project coordinated by Chalmers University of Technology, running over the period 2020-2024. 18 university teachers from 8 different universities located in 6 different countries gathered forces to develop and offer advanced ...

Modern data-driven science often consists of iterative cycles of data discovery, acquisition, preparation, analysis, model building and validation leading to knowledge discovery as well as dissemination at scale. The unique challenges of building and simul ...

The contribution of school curricula to public understanding and acceptance of evolution is still mostly unknown, due to the scarcity of studies that compare the learning goals present in different curricula. To overcome this lack of data we analysed 19 sc ...

As modern data pipelines continue to collect, produce, and store a variety of data formats, extracting and combining value from traditional and context-rich sources such as strings, text, video, audio, and logs becomes a manual process where such formats a ...

Building Early Modern Privacy Organizer: Centre for Privacy Studies, University of Copenhagen, and the Royal Danish Academy—Architecture, Design, Conservation, Institute of Architecture and Design The PRIVACY research team examines how notions of privacy ...

The increasing availability of Massive Open Online Courses (MOOCs) has created a necessity for personalized course recommendation systems. These systems often combine neural networks with Knowledge Graphs (KGs) to achieve richer representations of learners ...

Distributed constraint optimization (DCOP) is a framework in which multiple agents with private constraints (or preferences) cooperate to achieve a common goal optimally. DCOPs are applicable in several multi-agent coordination/allocation problems, such as ...

Over the past eight years, there has been a remarkable surge in the field of sweat analysis, as a non-invasive, continuous, and multi-metabolite monitoring solution tailored for wearable devices. However, its full potential has yet to be fully realized due ...

Macromolecular mass fingerprinting using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry is a quick tool for biochemical analysis. In combination with algorithms for automated data analysis and interpretation, it has wide appli ...

This dissertation on data-driven music theory is centered around curatorial practices concerning the creation, publication, and evaluation of large, expert-annotated symbolic datasets. With its primary interest in the harmony of European tonal music from i ...

Conversational tutoring systems (CTSs) offer a promising avenue for individualized learning support, especially in domains like persuasive writing. Although these systems have the potential to enhance the learning process, the specific role of learner cont ...

Students learn more when they are actively engaged in the learning process. While hands-on activities, labs and projects are moments when students are active, the learning benefits can be amplified with coaching strategies. This activity will enable studen ...

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 ...

Over the past decade, the use of chatbots for educational purposes has gained considerable traction. A similar trend has been observed in social coding platforms, where automated agents support software developers with tasks such as performing code reviews ...

In the development of implantable bioelectronics, the establishment of efficient wireless RF links between implants and external nodes is crucial, providing substantial contributions to the advancement of medical diagnosis, therapies, and basic science. Im ...

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

Chattez avec Graph Search

One Code to Predict Them All: Universal Encoding for Inquiry Modeling

Vehicle Trajectory Dataset from Drone-Collected Data at Three Swiss Roundabouts

On the fundamental limits of privacy-enhancing technologies

1st International Workshop on User-Centered Practices of Knowledge Discovery in Educational Data

FRCSyn-onGoing: Benchmarking and comprehensive evaluation of real and synthetic data to improve face recognition systems

Enhancing higher education through hybrid and flipped learning: Experiences from the GRE@T-PIONEeR project

Blue Brain Nexus: An open, secure, scalable system for knowledge graph management and data-driven science

Evolution in European and Israeli school curricula - a comparative analysis

Analytical Engines With Context-Rich Processing: Towards Efficient Next-Generation Analytics

The Architectural Space and the Healing Bed: On the Dimension of Privacy in Hospital Architectures

Finding Paths for Explainable MOOC Recommendation: A Learner Perspective

Differentially private multi-agent constraint optimization

Raman Biosensing of Sweat Metabolites: Univariate vs. Multivariate Algorithms

Algorithms push forward the application of MALDI-TOF mass fingerprinting in rapid precise diagnosis

Data-Driven Music Theory: Curating and Investigating Large Corpora of Digitally Encoded Music Analyses

Evaluating the Impact of Learner Control and Interactivity in Conversational Tutoring Systems for Persuasive Writing

How to support students to develop coaching and peer teaching skills

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

Impersonating Chatbots in a Code Review Exercise to Teach Software Engineering Best Practices

Electromagnetic Radiation of Implantable Antennas