Tanja Christina Käser Jacober

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Publications associées (58)

PharmaSimText: A Text-Based Educational Playground filled with RL-LLM Agents That Work Together Even in Disagreement

Bahar Radmehr, Tanja Christina Käser Jacober

There has been a growing interest in developing simulated learners to enhance learning and teaching experiences in educational environments. However, existing works have primarily focused on structured environments relying on meticulously crafted represent ...

2025

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

Bahar Radmehr, Tanja Christina Käser Jacober

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 ...

Springer Science and Business Media Deutschland GmbH2025

How Instructional Sequence and Personalized Support Impact Diagnostic Strategy Learning

Tatjana Nazaretsky, Bahar Radmehr, Tanja Christina Käser Jacober

Supporting students in developing effective diagnostic reasoning is a key challenge in various educational domains. Novices often struggle with cognitive biases such as premature closure and over-reliance on heuristics. Scenario-based learning (SBL) can ad ...

Springer2025

TeamTeachingViz: Benefits, Challenges, and Ethical Considerations of Using a Multimodal Analytics Dashboard to Support Team Teaching Reflection

Paola Mejia Domenzain, Tanja Christina Käser Jacober

Team teaching in higher education can be challenging, especially for educators managing large classes with limited pedagogical training and few opportunities to reflect on their practices. Emerging sensing technologies and analytics can capture and analyse ...

Association for Computing Machinery, Inc2025

Leveraging Knowledge Profiles and Generative AI for Realistic Student Response Generation

Tatjana Nazaretsky, Tanja Christina Käser Jacober

The scarcity of high-quality labeled data often hinders the effective use of automated formative feedback in education. While analytic rubrics offer a reliable framework for automated grading, training robust models still requires hundreds of expert-labele ...

Springer Nature2025

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

Jade Maï L Cock, Tanja Christina Käser Jacober

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 ...

Springer Science and Business Media Deutschland GmbH2025

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

Vinitra Swamy, Tanja Christina Käser Jacober

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 ...

Association for the Advancement of Artificial Intelligence2025

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

Antoine Bosselut, Paola Mejia Domenzain, Seyed Parsa Neshaei, Tanja Christina Käser Jacober, Luca Mouchel, Jibril Albachir Frej, Tatjana Nazaretsky, Thiemo Wambsganss

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 ...

2024

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

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

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 ...

Association for Computing Machinery2024

Course Recommender Systems Need to Consider the Job Market

Antoine Bosselut, Tanja Christina Käser Jacober, Syrielle Mathilde Marie Montariol, Jibril Albachir Frej

Current course recommender systems primarily leverage learner-course interactions, course content, learner preferences, and supplementary course details like instructor, institution, ratings, and reviews, to make their recommendation. However, these system ...

Association for Computing Machinery, Inc2024

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