Memory-Aware Social Learning Under Partial Information Sharing

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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 ...

Image steganalysis, detecting hidden data in digital images, is essential for enhancing digital security. Traditional steganalysis methods typically rely on large, pre-labeled image datasets, which are difficult and costly to compile. To address this, this ...

Writing high-quality procedural texts is a challenging task for many learners. While example-based learning has shown promise as a feedback approach, a limitation arises when all learners receive the same content without considering their individual input ...

Addressing the complex challenges of sustainability demands for good teamwork abilities for future technicians and engineers. In our three institutions we adopted project-based learning to facilitate the development of these skills – but is this enough? Si ...

In this study, we investigated an interdisciplinary project-based learning program. Students were confronted with interdisciplinary challenges in the form of complex and authentic problems, like building a racing car or making a mobile laboratory for genet ...

Social practices are well-known mediators in the adoption of educational innovations during professional learning, as postulated by the Knowledge Appropriation Model (KAM). However, understanding how teachers adopt new pedagogical approaches at scale is of ...

The identification of accident hot spots is a central task of road safety management. Bayesian count data models have emerged as the workhorse method for producing probabilistic rankings of hazardous sites in road networks. Typically, these methods assume ...

Inspired by applications in sports where the skill of players or teams competing against each other varies over time, we propose a probabilistic model of pairwise-comparison outcomes that can capture a wide range of time dynamics. We achieve this by replac ...

Multiple generalized additive models are a class of statistical regression models wherein parameters of probability distributions incorporate information through additive smooth functions of predictors. The functions are represented by basis function expan ...

We describe FROG, an integrated environment for authoring and running collaborative learning scenarios, called Orchestration Graphs. We describe the pedagogical background and the technical architecture, and present a case study of a teacher using FROG to ...

Seismic exposure of buildings presents difficult engineering challenges. The principles of seismic design involve structures that sustain damage and still protect inhabitants. Precise and accurate knowledge of the residual capacity of damaged structures is ...

The recent availability of whole-genome sequencing data affords tremendous power for statistical inference. With this, there has been great interest in the development of polymorphism-based approaches for the estimation of population genetic parameters. Th ...

Memory-Aware Social Learning Under Partial Information Sharing

Chattez avec Graph Search

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

Image steganalysis using active learning and hyperparameter optimization

Enhancing Procedural Writing Through Personalized Example Retrieval: A Case Study on Cooking Recipes

FROM GROUP WORK TO TEAM WORK: COMPARATIVE ANALYSIS IN THREE EUROPEAN INSTITUTIONS

Students' learning strategies, motivation and project-management skills during interdisciplinary projects in Covid times

Combining the Knowledge Appropriation Model and epistemic networks to understand co-creation and adoption of learning designs using log data

A new spatial count data model with Bayesian additive regression trees for accident hot spot identification

Pairwise Comparisons with Flexible Time-Dynamics

Automatic L2 Regularization for Multiple Generalized Additive Models

FROG: rapid prototyping of collaborative learning scenarios

Data-Interpretation methodologies for Non-Linear Earthquake Response Predictions of Damaged Structures

Recent Progress in Polymorphism-Based Population Genetic Inference