Tanja Christina Käser Jacober

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Within many online learning platforms, struggling students are provided with support to guide them through challenging material. Support comes in many forms, and is typically evaluated based on its ability to improve students' performance on future tasks. ...

Natural Language Processing (NLP) has become increasingly utilized to provide adaptivity in educational applications. However, recent research has highlighted a variety of biases in pre-trained language models. While existing studies investigate bias in di ...

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 ...

Reflective writing, a valuable educational practice, helps learners analyze their thoughts and experiences. However, learners often struggle to translate their experiences and thoughts into written form. Recent advancements in large language models (LLMs) ...

Time series is the most prevalent form of input data for educational prediction tasks. The vast majority of research using time series data focuses on hand-crafted features, designed by experts for predictive performance and interpretability. However, extr ...

This workshop aims to provide a venue for researchers to discuss latest work on AI-based support for Exploratory Learning Environments (ELE). It builds on a series of workshops in this area and latest advancements from the organising committee but also sev ...

Despite the increasing popularity of massive open online courses (MOOCs), many suffer from high dropout and low success rates. Early prediction of student success for targeted intervention is therefore essential to ensure no student is left behind in a cou ...

Inquiry-based learning with interactive simulations is widely used in STEM education, yet its open-ended nature presents challenges for learners. To support students in reflecting on their inquiry processes, Learning Analytics Dashboards (LADs) offer a pro ...

Clickstream data from digital learning environments provide valuable insights into student behavior but are challenging to interpret due to their granularity. Prior methods mainly relied on handcrafted features, expert labeling, clustering, or supervised m ...

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 ...

Interactive simulations play a significant role in science education, serving as a platform for inquiry-based learning and fostering the development of scientific knowledge and skills. However, teaching and quantitatively measuring inquiry strategies has p ...

Recent advances in eXplainable AI (XAI) for education have highlighted a critical challenge: ensuring that explanations for state-of-the-art models are understandable for non-technical users such as educators and students. In response, we introduce iLLuMin ...

Hintergrund: Die einschneidenden Veränderungen, welche moderne Gesellschaften durch die Digitalisierung erfahren haben, haben es unerlässlich gemacht, heutigen und künftigen Generationen höhere Kompetenzen als Rüstzeug für die neue Lern- und Arbeitswelt mi ...

Tanja Christina Käser Jacober

Chattez avec Graph Search

The Effect of Different Support Strategies on Student Affect

Bias at a Second Glance: A Deep Dive into Bias for German Educational Peer-Review Data Modeling

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

User-centric Reflective Writing Assistance: Leveraging RAG for Enhanced Personalized Support

Ripple: Concept-Based Interpretation for Raw Time Series Models in Education

Workshop on Advancements in AI-Supported Exploratory Learning (AI4EL)

Meta Transfer Learning for Early Success Prediction in MOOCs

Towards A Student-Facing Dashboard to Support Learning of Inquiry Competencies in Interactive Simulations

ClickSight: Interpreting Student Clickstreams to Reveal Insights on Learning Strategies via LLMs

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

Teaching and Measuring Multidimensional Inquiry Skills Using Interactive Simulations

iLLuMinaTE: An LLM-XAI Framework Leveraging Social Science Explanation Theories Towards Actionable Student Performance Feedback

Maschinelles Lernen zur Förderung von höheren Kompetenzen