Publications by Tanja Christina Käser Jacober

"Piecing Data Connections Together Like a Puzzle": Effects of Increasing Task Complexity on the Effectiveness of Data Storytelling Enhanced Visualisations

Tanja Christina Käser Jacober, Paola Mejia Domenzain

The emerging concept of data storytelling (DS) suggests that enhancing visualisations with annotations and narratives can make complex data more insightful than conventional visualisations. Previous works found that DS-enhanced visualisations are more effe ...

ACM2025

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

Jade Maï L Cock, Tanja Christina Käser Jacober

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 ...

Springer Science and Business Media Deutschland GmbH2025

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

Tanja Christina Käser Jacober

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 ...

Springer Science and Business Media Deutschland GmbH2025

The Effect of Different Support Strategies on Student Affect

Tanja Christina Käser Jacober

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. ...

Association for Computing Machinery, Inc2025

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

Tanja Christina Käser Jacober, Paola Mejia Domenzain, Seyed Parsa Neshaei

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) ...

ACM2025

The critical role of trust in adopting AI-powered educational technology for learning: An instrument for measuring student perceptions

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

In recent decades, we have witnessed the democratization of AI-powered Educational Technology (AI-EdTech). However, despite the increased accessibility and evolving technological capabilities, its adoption is accompanied by significant challenges, predomin ...

Elsevier BV2025

MindMate: Exploring the Effect of Conversational Agents on Reflective Writing

Tanja Christina Käser Jacober, Seyed Parsa Neshaei

Reflective writing is known to be effective in improving students’ learning process. However, learners often encounter difficulties when reflecting, struggling to formulate their thoughts constructively. While conversational agents have been shown to be be ...

ACM2025

Enhancing Critical Thinking in Education by Means of a Socratic Chatbot

Tanja Christina Käser Jacober

While large language models (LLMs) are increasingly playing a pivotal role in education by providing instantaneous, adaptive responses, their potential to promote critical thinking remains understudied. In this paper, we fill such a gap and present an inno ...

Springer Science and Business Media Deutschland GmbH2025

SketchAI: A "Sketch-First" Approach to Incorporating Generative AI into Fashion Design

Tanja Christina Käser Jacober, Daniel Carnieto Tozadore

Generative AI technologies are increasingly being incorporated into creativity support tools. However, most generative AI tools rely on text-based prompting, requiring users to translate visual ideas into linguistic descriptions. This approach is misaligne ...

ACM2025

Metacognition meets AI: Empowering reflective writing with large language models

Tanja Christina Käser Jacober, Paola Mejia Domenzain, Seyed Parsa Neshaei

Reflective writing is known as a useful method in learning sciences to improve the metacognitive skills of students. However, students struggle to structure their reflections properly, limiting the possible learning gains. Previous works in educational tec ...

Wiley2025

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

Tanja Christina Käser Jacober, Bahar Radmehr

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

Tanja Christina Käser Jacober, Bahar Radmehr

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

Tanja Christina Käser Jacober, Bahar Radmehr, Tatjana Nazaretsky

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

Tanja Christina Käser Jacober, Paola Mejia Domenzain

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

Tanja Christina Käser Jacober, Tatjana Nazaretsky

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

Tanja Christina Käser Jacober, Vinitra Swamy

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

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

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, Wei Jiang, Tanja Christina Käser Jacober, Richard Lee Davis, 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 ...

Association for Computing Machinery2024

Course Recommender Systems Need to Consider the Job Market

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

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