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Tanja Christina Käser Jacober

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Related publications (57)

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Evolutionary Clustering of Apprentices' Self- Regulated Learning Behavior in Learning Journals

Tanja Christina Käser Jacober, Christian Giang, Paola Mejia Domenzain, Mirko Marras

Learning journals are increasingly used in vocational education to foster self-regulated learning and reflective learning practices. However, for many apprentices, documenting working experiences is a difficult task. In this paper, we profile apprentices' ...

2022

Visualizing Self-Regulated Learner Profiles in Dashboards: Design Insights from Teachers

Andromeda Laini, Tanja Christina Käser Jacober, Paola Mejia Domenzain, Thiemo Wambsganss, Seyed Parsa Neshaei

Flipped Classrooms (FC) are a promising teaching strategy, where students engage with the learning material before attending face-to-face sessions. While pre-class activities are critical for course success, many students struggle to engage effectively in ...

Springer Nature2023

Finding Paths for Explainable MOOC Recommendation: A Learner Perspective

Tanja Christina Käser Jacober, Jibril Albachir Frej, Tatjana Nazaretsky

The increasing availability of Massive Open Online Courses (MOOCs) has created a necessity for personalized course recommendation systems. These systems often combine neural networks with Knowledge Graphs (KGs) to achieve richer representations of learners ...

2023

The Effect of Different Support Strategies on Student Affect

Tanja Christina Käser Jacober, Ethan Benjamin Prihar

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

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

Tanja Christina Käser Jacober, Vinitra Swamy, Thiemo Wambsganss

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 ...

2022

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

"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

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

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

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

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

Tanja Christina Käser Jacober, Mirko Marras, Vinitra Swamy, Jibril Albachir Frej

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 ...

2022

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

Tanja Christina Käser Jacober, Jade Maï L Cock

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

Meta Transfer Learning for Early Success Prediction in MOOCs

Tanja Christina Käser Jacober, Mirko Marras, Vinitra Swamy

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 ...

ACM2022

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

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

Tanja Christina Käser Jacober, Bahar Radmehr, Fatma-Betül Güres, Ekaterina Shved

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

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

Tanja Christina Käser Jacober, Mirko Marras

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 ...

Association for Computing Machinery2021

Teaching and Measuring Multidimensional Inquiry Skills Using Interactive Simulations

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

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

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

Maschinelles Lernen zur Förderung von höheren Kompetenzen

Tanja Christina Käser Jacober, Christian Giang, Thiemo Wambsganss

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 ...

2022