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Tanja Christina Käser Jacober

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Related publications (57)

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The future of human-centric eXplainable Artificial Intelligence (XAI) is not post-hoc explanations

Tanja Christina Käser Jacober, Vinitra Swamy, Jibril Albachir Frej

Explainable Artificial Intelligence (XAI) plays a crucial role in enabling human understanding and trust in deep learning systems, often defined as determining which features are most important to a model's prediction. As models get larger, more ubiquitous ...

2023

Fashioning the Future: Unlocking the Creative Potential of Deep Generative Models for Design Space Exploration

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

This paper investigates the potential impact of deep generative models on the work of creative professionals, specifically focusing on fashion design. We argue that current generative modeling tools lack critical features that would make them useful creati ...

Association for Computing Machinery2023

Can Feature Predictive Power Generalize? Benchmarking Early Predictors of Student Success across Flipped and Online Courses

Tanja Christina Käser Jacober, Mirko Marras

Early predictors of student success are becoming a key tool in flipped and online courses to ensure that no student is left behind along course activities. However, with an increased interest in this area, it has become hard to keep track of what the state ...

2021

Leveraging Knowledge Profiles and Generative AI for Realistic Student Response Generation

Eylül Ipçi, 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

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, Tanja Christina Käser Jacober, Richard Lee Davis, 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

Do Not Trust a Model Because It is Confident: Uncovering and Characterizing Unknown Unknowns to Student Success Predictors in Online-Based Learning

Tanja Christina Käser Jacober

Student success models might be prone to develop weak spots, i.e., examples hard to accurately classify due to insufficient representation during model creation. This weakness is one of the main factors undermining users' trust, since model predictions cou ...

Association for Computing Machinery2022

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

Aleksandra Novikova, 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

Simulated Learners in Educational Technology: A Systematic Literature Review and a Turing-like Test

Tanja Christina Käser Jacober

Simulation is a powerful approach that plays a significant role in science and technology. Computational models that simulate learner interactions and data hold great promise for educational technology as well. Amongst others, simulated learners can be use ...

SPRINGER2023

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

Valentine Marie Delevaux, Tanja Christina Käser Jacober, Jade Maï L Cock

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

Understanding Revision Behavior in Adaptive Writing Support Systems for Education

Tanja Christina Käser Jacober, Paola Mejia Domenzain, Thiemo Wambsganss, Luca Mouchel

Revision behavior in adaptive writing support systems is an important and relatively new area of research that can improve the design and effectiveness of these tools, and promote students' self-regulated learning (SRL). Understanding how these tools are u ...

Zenodo2023

Designing Intelligent Systems for Online Education: Open Challenges and Future Directions

Tanja Christina Käser Jacober, Mirko Marras

The design and delivering of platforms for online education is fostering increasingly intense research. Scaling up education online brings new emerging needs related with hardly manageable classes, overwhelming content alternatives, and academic dishonesty ...

2021

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

Identifying and Comparing Multi-dimensional Student Profiles Across Flipped Classrooms

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

Flipped classroom (FC) courses, where students complete pre-class activities before attending interactive face-to-face sessions, are becoming increasingly popular. However, many students lack the skills, resources, or motivation to effectively engage in pr ...

Springer2022

AI or Human? Evaluating Student Feedback Perceptions in Higher Education

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

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

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

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

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

How Instructional Sequence and Personalized Support Impact Diagnostic Strategy Learning

Tanja Christina Käser Jacober, Tatjana Nazaretsky, Bahar Radmehr, Fatma-Betül Güres

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

Early Prediction of Conceptual Understanding in Interactive Simulations

Tanja Christina Käser Jacober, Mirko Marras, Christian Giang, Jade Maï L Cock

Interactive simulations allow students to independently ex- plore scientific phenomena and ideally infer the underlying principles through their exploration. Effectively using such environments is challenging for many students and there- fore, adaptive gui ...

2021

Trusting the Explainers: Teacher Validation of Explainable Artificial Intelligence for Course Design

Tanja Christina Käser Jacober, Mirko Marras, Vinitra Swamy

Deep learning models for learning analytics have become increasingly popular over the last few years; however, these approaches are still not widely adopted in real-world settings, likely due to a lack of trust and transparency. In this paper, we tackle th ...

2023

Navigating Self-regulated Learning Dimensions: Exploring Interactions Across Modalities

Tanja Christina Käser Jacober, Paola Mejia Domenzain, Tatjana Nazaretsky

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

Course Recommender Systems Need to Consider the Job Market

Anna Dai, 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