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Tanja Christina Käser Jacober

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Publications associées (58)

Identifying and Comparing Multi-dimensional Student Profiles Across Flipped Classrooms

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

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

Generalisable Methods for Early Prediction in Interactive Simulations for Education

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

Interactive simulations allow students to discover the underlying principles of a scientific phenomenon through their own exploration. Unfortunately, students often struggle to learn effectively in these environments. Classifying students’ interaction data ...

2022

Protected Attributes Tell Us Who, Behavior Tells Us How: A Comparison of Demographic and Behavioral Oversampling for Fair Student Success Modeling

Tanja Christina Käser Jacober

Algorithms deployed in education can shape the learning experience and success of a student. It is therefore important to understand whether and how such algorithms might create inequalities or amplify existing biases. In this paper, we analyze the fairnes ...

2022

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

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

Christian Giang, Tanja Christina Käser Jacober, 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

Evaluating the Explainers: Black-Box Explainable Machine Learning for Student Success Prediction in MOOCs

Tanja Christina Käser Jacober, Natasa Krco, Vinitra Swamy, Mirko Marras, Bahar Radmehr

Neural networks are ubiquitous in applied machine learning for education. Their pervasive success in predictive performance comes alongside a severe weakness, the lack of explainability of their decisions, especially relevant in human-centric fields. We im ...

2022

Maschinelles Lernen zur Förderung von höheren Kompetenzen

Christian Giang, Tanja Christina Käser Jacober, 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

Improving Students Argumentation Learning with Adaptive Self-Evaluation Nudging

Tanja Christina Käser Jacober, Thiemo Wambsganss

Recent advantages from computational linguists can be leveraged to nudge students with adaptive self-evaluation based on their argumentation skill level. To investigate how individual argumentation self-evaluation will help students write more convincing t ...

2022

Meta Transfer Learning for Early Success Prediction in MOOCs

Tanja Christina Käser Jacober, Vinitra Swamy, Mirko Marras

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

Designing Conversational Evaluation Tools

Tanja Christina Käser Jacober, Thiemo Wambsganss

Conversational agents (CAs) provide opportunities for improving the interaction in evaluation surveys. To investigate if and how a user-centered conversational evaluation tool impacts users' response quality and their experience, we build EVA - a novel con ...

ACM2022

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

Tanja Christina Käser Jacober, Vinitra Swamy, Mirko Marras, 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

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

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

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

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

Early Prediction of Conceptual Understanding in Interactive Simulations

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

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

Modeling and Analyzing Inquiry Strategies in Open-Ended Learning Environments

Tanja Christina Käser Jacober

Modeling and predicting student learning in computer-based environments often relies solely on sequences of accuracy data. Previous research suggests that it does not only matter what we learn, but also how we learn. The detection and analysis of learning ...

2020

Efficacy of a Computer-Based Learning Program in Children With Developmental Dyscalculia. What Influences Individual Responsiveness?

Tanja Christina Käser Jacober

This study presents the evaluation of a computer-based learning program for children with developmental dyscalculia and focuses on factors affecting individual responsiveness. The adaptive training program Calcularis 2.0 has been developed according to cur ...

Frontiers Media2020

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