Tanja Christina Käser Jacober

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

Tanja Christina Käser Jacober, Thiemo Wambsganss

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 ...

2024

Student Answer Forecasting: Transformer-Driven Answer Choice Prediction for Language Learning

Paola Mejia Domenzain, Vinitra Swamy, Tanja Christina Käser Jacober, Elena Grazia Gado, Tommaso Martorella, Jibril Albachir Frej, Luca Zunino

Intelligent Tutoring Systems (ITS) enhance personalized learning by predicting student answers to provide immediate and customized instruction. However, recent research has primarily focused on the correctness of the answer rather than the student's perfor ...

2024

Navigating Self-regulated Learning Dimensions: Exploring Interactions Across Modalities

Paola Mejia Domenzain, Tatjana Nazaretsky, Tanja Christina Käser Jacober

Self-regulated learning (SRL) has been extensively studied using self-reported measures, such as surveys, and more recently, behavioral measures, such as trace data. While both modalities offer insights into SRL, their relationship remains ambiguous. Altho ...

Springer Nature Switzerland2024

Interpret3C: Interpretable Student Clustering Through Individualized Feature Selection

Vinitra Swamy, Paola Mejia Domenzain, Tanja Christina Käser Jacober, Julian Thomas Blackwell, Isadora Alves de Salles

Clustering in education, particularly in large-scale online environments like MOOCs, is essential for understanding and adapting to diverse student needs. However, the effectiveness of clustering depends on its interpretability, which becomes challenging w ...

2024

GELEX: Generative AI-Hybrid System for Example-Based Learning

Paola Mejia Domenzain, Aybars Yazici, Tanja Christina Käser Jacober, Jibril Albachir Frej

Traditional example-based learning methods are often limited by static, expert-created content. Hence, they face challenges in scalability, engagement, and effectiveness, as some learners might struggle to relate to the examples or find them relevant. To a ...

Association for Computing Machinery2024

Fashioning Creative Expertise with Generative AI: Graphical Interfaces for GAN-Based Design Space Exploration Better Support Ideation Than Text Prompts for Diffusion Models

Pierre Dillenbourg, Richard Lee Davis, Tanja Christina Käser Jacober, Kevin Gonyop Kim, Wei Jiang, Thiemo Wambsganss

This paper investigates the potential impact of deep generative models on the work of creative professionals. We argue that current generative modeling tools lack critical features that would make them useful creativity support tools, and introduce our own ...

2024

AI or Human? Evaluating Student Feedback Perceptions in Higher Education

Vinitra Swamy, Paola Mejia Domenzain, Tatjana Nazaretsky, Tanja Christina Käser Jacober, Jibril Albachir Frej

Feedback plays a crucial role in learning by helping individuals understand and improve their performance. Yet, providing timely, personalized feedback in higher education presents a challenge due to the large and diverse student population, often resultin ...

Springer Nature Switzerland2024

An Interpretable Approach to Identify Performance Indicators Within Unstructured Learning Environments

Bahar Radmehr, Tanja Christina Käser Jacober

As educational technology becomes increasingly integrated into curricula, more students are engaging with online learning platforms, interactive simulations, and MOOCs. These unstructured environments record students’ behaviors, providing a rich source of ...

Springer Science and Business Media Deutschland GmbH2024

Let Me Teach You: Pedagogical Foundations of Feedback for Language Models

Antoine Bosselut, Beatriz Maria Borges Ribeiro, Tanja Christina Käser Jacober

Natural Language Feedback (NLF) is an increasingly popular mechanism for aligning Large Language Models (LLMs) to human preferences. Despite the diversity of the information it can convey, NLF methods are often hand-designed and arbitrary, with little syst ...

Association for Computational Linguistics2024

Teaching and Measuring Multidimensional Inquiry Skills Using Interactive Simulations

Paola Mejia Domenzain, Engin Walter Bumbacher, Tanja Christina Käser Jacober

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 ...

Springer Nature Switzerland2024

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Fashioning Creative Expertise with Generative AI: Graphical Interfaces for GAN-Based Design Space Exploration Better Support Ideation Than Text Prompts for Diffusion Models

Pierre Dillenbourg, Richard Lee Davis, Tanja Christina Käser Jacober, Kevin Gonyop Kim, Wei Jiang, Thiemo Wambsganss

2024