Evaluation of Collaborative Learning Settings in 3D Virtual Worlds. - Vanessa Chang; Christian Gütl; Simone Kopeinik; Robert Williams (Int. J. Emerg. Technol. Learn., 2009)

The Artificial Mentor: An assessment based approach to adaptively enhance learning processes in virtual learning environments. - Simone Kopeinik; Michael A. Bedek; Paul Seitlinger; Dietrich Albert (ICCE, 2011)

Using CbKST for Learning Path Recommendation in Game-based Learning. - Simone Kopeinik; Alexander Nussbaumer; Michael A. Bedek; Dietrich Albert (ICCE, 2012)

Evaluating the Validity of a Non-invasive Assessment Procedure. - Paul Seitlinger; Michael A. Bedek; Simone Kopeinik; Dietrich Albert (SGDA, 2012)

Competence Analyser: A portable GUI tool for modelling domain and learner knowledge. - Simone Kopeinik; Michael A. Bedek; Georg Öttl; Dietrich Albert (ICCE, 2013)

Applying Pedagogical Approaches to Enhance Learning: Linking Self-Regulated and Skills-Based Learning with Support from Moodle Extensions. - Lisa-Christina Winter; Simone Kopeinik; Dietrich Albert; Aurora Dimache; Attracta Brennan; Thomas Roche (IIAI-AAI, 2013)

Refining Frequency-Based Tag Reuse Predictions by Means of Time and Semantic Context. - Dominik Kowald; Simone Kopeinik; Paul Seitlinger; Tobias Ley; Dietrich Albert; Christoph Trattner (MSM/MUSE, 2013)

Forgetting the Words but Remembering the Meaning: Modeling Forgetting in a Verbal and Semantic Tag Recommender. - Dominik Kowald; Paul Seitlinger; Simone Kopeinik; Tobias Ley; Christoph Trattner (MSM/MUSE, 2013)

Combining Self-Regulation and Competence-Based Guidance to Personalise the Learning Experience in Moodle. - Simone Kopeinik; Alexander Nussbaumer; Lisa-Christina Winter; Dietrich Albert; Aurora Dimache; Thomas Roche (ICALT, 2014)

Applying the Formal Concept Analysis to Introduce Guidance in an Inquiry-Based Learning Environment. - Michael A. Bedek; Simone Kopeinik; Bernd Prünster; Dietrich Albert (ICALT, 2015)

Attention Please! A Hybrid Resource Recommender Mimicking Attention-Interpretation Dynamics. - Paul Seitlinger; Dominik Kowald; Simone Kopeinik; Ilire Hasani-Mavriqi; Elisabeth Lex; Tobias Ley (WWW (Companion Volume), 2015)

Suitability of Adaptive Self-Regulated e-Learning to Vocational Training: A Pilot Study in Heat Pump System Installation. - Aurora Dimache; Thomas Roche; Simone Kopeinik; Lisa-Christina Winter; Alexander Nussbaumer; Dietrich Albert (Int. J. Online Pedagog. Course Des., 2015)

Which Algorithms Suit Which Learning Environments? A Comparative Study of Recommender Systems in TEL. - Simone Kopeinik; Dominik Kowald; Elisabeth Lex (EC-TEL, 2016)

Modeling Activation Processes in Human Memory to Predict the Use of Tags in Social Bookmarking Systems. - Christoph Trattner; Dominik Kowald; Paul Seitlinger; Tobias Ley; Simone Kopeinik (J. Web Sci., 2016)

Supporting collaborative learning with tag recommendations: a real-world study in an inquiry-based classroom project. - Simone Kopeinik; Elisabeth Lex; Paul Seitlinger; Dietrich Albert; Tobias Ley (LAK, 2017)

The TagRec Framework as a Toolkit for the Development of Tag-Based Recommender Systems. - Dominik Kowald; Simone Kopeinik; Elisabeth Lex (UMAP (Adjunct Publication), 2017)

Improving Collaborative Filtering Using a Cognitive Model of Human Category Learning. - Simone Kopeinik; Dominik Kowald; Ilire Hasani-Mavriqi; Elisabeth Lex (J. Web Sci., 2017)

Applying Cognitive Learner Models for Recommender Systems in Sparse Data Learning Environments. - Simone Kopeinik (SIGIR Forum, 2017)

A Real-Life School Study of Confirmation Bias and Polarisation in Information Behaviour. - Simone Kopeinik; Elisabeth Lex; Dominik Kowald; Dietrich Albert; Paul Seitlinger (EC-TEL, 2019)

Studying Moral-based Differences in the Framing of Political Tweets. - Markus Reiter-Haas; Simone Kopeinik; Elisabeth Lex (ICWSM, 2021)

Societal Biases in Retrieved Contents: Measurement Framework and Adversarial Mitigation of BERT Rankers. - Navid Rekabsaz; Simone Kopeinik; Markus Schedl (SIGIR, 2021)

Long-term dynamics of fairness: understanding the impact of data-driven targeted help on job seekers. - Sebastian Scher; Simone Kopeinik; Andreas Trügler; Dominik Kowald (CoRR, 2022)

Show me a "Male Nurse"! How Gender Bias is Reflected in the Query Formulation of Search Engine Users. - Simone Kopeinik; Martina Mara; Linda Ratz; Klara Krieg; Markus Schedl; Navid Rekabsaz (CHI, 2023)

Computational Versus Perceived Popularity Miscalibration in Recommender Systems. - Oleg Lesota; Gustavo Escobedo; Yashar Deldjoo; Bruce Ferwerda; Simone Kopeinik; Elisabeth Lex; Navid Rekabsaz; Markus Schedl (SIGIR, 2023)

A conceptual model for leaving the data-centric approach in machine learning. - Sebastian Scher; Bernhard C. Geiger; Simone Kopeinik; Andreas Trügler; Dominik Kowald (CoRR, 2023)

Reproducibility in Machine Learning-Driven Research. - Harald Semmelrock; Simone Kopeinik; Dieter Theiler; Tony Ross-Hellauer; Dominik Kowald (CoRR, 2023)

Measuring Bias in Search Results Through Retrieval List Comparison. - Linda Ratz; Markus Schedl; Simone Kopeinik; Navid Rekabsaz (ECIR (5), 2024)

Making Alice Appear Like Bob: A Probabilistic Preference Obfuscation Method For Implicit Feedback Recommendation Models. - Gustavo Escobedo; Marta Moscati; Peter Muellner; Simone Kopeinik; Dominik Kowald; Elisabeth Lex; Markus Schedl (ECML/PKDD (7), 2024)

Establishing and evaluating trustworthy AI: overview and research challenges. - Dominik Kowald; Sebastian Scher; Viktoria Pammer-Schindler; Peter Müllner; Kerstin Waxnegger; Lea Demelius; Angela Fessl; Maximilian Toller; Inti Gabriel Mendoza Estrada; Ilija Simic; Vedran Sabol; Andreas Trügler; et al. (Frontiers Big Data, 2024)

Reproducibility in machine-learning-based research: Overview, barriers, and drivers. - Harald Semmelrock; Tony Ross-Hellauer; Simone Kopeinik; Dieter Theiler; Armin Haberl; Stefan Thalmann; Dominik Kowald (AI Mag., 2025)

Exploring the Effect of Context-Awareness and Popularity Calibration on Popularity Bias in POI Recommendations. - Andrea Forster; Simone Kopeinik; Denis Helic; Stefan Thalmann; Dominik Kowald (CoRR, 2025)

Exploring Gender Bias in Large Language Models: An In-depth Dive into the German Language. - Kristin Gnadt; David Thulke; Simone Kopeinik; Ralf Schlüter (CoRR, 2025)