W. Sun, N. Pinkwart, and T. Li. Current State of Learning Analytics: A Synthesis Review Based on the Combination of Activity Theory and Pedagogy. Advancing the Power of Learning Analytics and Big Data in Education, IGI Global, pages 1-28, 2021.

A. Kovalkov, B. Paaßen, A. Segal, K. Gal, and N. Pinkwart. Modeling Creativity in Visual Programming: From Theory to Practice. Proceedings of the 14th International Conference on Educational Data Mining (EDM 2021), pages 518-524, 2021.

M. Ghomi, H. Lohmann, A. Mühling, and N. Pinkwart. Fachfremd unterrichten–Chancen und Grenzen. INFOS 2021–19. GI-Fachtagung Informatik und Schule, GI, pages 305-306, 2021.

E. Drubba, S. Schulz, and N. Pinkwart. Ein interdisziplinärer Programmiereinstieg-Neue Möglichkeiten für den Unterricht mit dem Roboterbausatz VEX IQ. LOG IN, volume 41, issue 2, pages 41-46, 2021.

B. Blanc, R. Feichtenbeiner, S. Beudt, and N. Pinkwart. KI in der beruflichen Rehabilitation–Intelligente Assistenz für Menschen mit Behinderung. Arbeitswelt und KI 2030, Springer Gabler, Wiesbaden, pages 401-410, 2021.

H. S. Yun, J. Chevalère, M. Karl, and N. Pinkwart. A comparative study on how social robots support learners' motivation and learning. ICERI2021 Proceedings, pages 2845-2850, 2021.

A. Musiimenta, W. Tumuhimbise, N. Pinkwart, J. Katusiime, G. Mugyenyi, and E. C. Atukunda. A mobile phone-based multimedia intervention to support maternal health is acceptable and feasible among illiterate pregnant women in Uganda: Qualitative findings from a pilot randomized controlled trial. Digital Health, volume 7, 2021.

A. Kovalkov, B. Paaßen, A. Segal, N. Pinkwart, and K. Gal. Automatic Creativity Measurement in Scratch Programs Across Modalities. IEEE Transactions on Learning Technologies, IEEE, volume 14, issue 6, 2021.

S. Beudt and N. Pinkwart. KI-Anwendungen in der beruflichen Rehabilitation - Inklusionspotenziale und Herausforderungen. Künstliche Intelligenz in der beruflichen Bildung. Zukunft der Arbeit und Bildung mit intelligenten Maschinen?!, Franz Steiner Verlag, pages 293-317, 2021.

W. Sun, C. Schumacher, L. Chen, and N. Pinkwart. What Do MOOC Dashboards Present to Learners? Visualizations and Dashboards for Learning Analytics, Springer, pages 117-148, 2021.

N. Rzepka, H.-G. Mueller, and K. Simbeck. What you apply is not what you learn! Examining students' strategies in German capitalization tasks. International Conference on Educational Data Mining, 2021.

C. Schumacher and D. Ifenthaler. Investigating prompts for supporting students' self-regulation - A remaining challenge for learning analytics approaches? The Internet and Higher Education, Elsevier, volume 49, pages 100791, 2021.

C. Engelhardt, K. Biernacka, A. Coffey, R. Cornet, A. Danciu, Y. Demchenko, S. Downes, C. Erdmann, F. Garbuglia, K. Germer, K. Helbig, M. Hellström, K. Hettne, D. Hibbert, M. Jetten, Y. Karimova, K. K. Hansen, M. E. Kuusniemi, V. Letizia, V. McCutcheon, B. McGillivray, J. Ostrop, B. Petersen, A. Petrus, S. Reichmann, N. Rettberg, C. Reverté, N. Rochlin, B. Saenen, B. Schmidt, J. Scholten, H. Shanahan, A. Straube, V. V. den Eynden, J. Vandendorpe, S. Venkataram, C. Wiljes, U. Wuttke, J. Yeomans, and B. Zhou. How to be FAIR with your data. A teaching and training handbook for higher education institutions. December 2021.

C. Schumacher and J. Kuzilek. Perfect match? Investigating students’ perceptions about algorithmic grouping in higher education. Paper presented at the AECT International Convention, Columbus, OH, USA, 04-11-2021, November 2021.

C. Schumacher and D. Ifenthaler. Tell me more! Students’ perceptions about learning analytics feedback. Paper presented at the AECT International Convention, Columbus, OH, USA, 04-11-2021, November 2021.

J. Sell. User Stories made by Users Workshop Analysis Results. Zenodo, October 2021.

C. Schumacher and D. Ifenthaler. Wahrnehmung Studierender von Learning Analytics Feedback: Verständnis und Lernverhalten. Paper presented at the 18. Tagung der Fachgruppe Pädagogische Psychologie (PAEPSY), Heidelberg, BW, Germany & Virtuell, 15-09-2021, September 2021.

S. Rüdian, J. Haase, and N. Pinkwart. The relation of convergent thinking and trace data in an online course. Die 19. Fachtagung Bildungstechnologien (DELFI), GI, September 2021.

C. Schumacher and D. Ifenthaler. Investigating students’ perceived benefits of system- vs. teacher-based learning analytics feedback. Paper presented at the EARLI 2021 Conference, Virtual Conference, 23-08-2021, August 2021.

D. Ifenthaler, M. Sahin, and C. Schumacher. How emotional dispositions influence the online learning behaviour. Paper presented at the EARLI Conference, Virtual Conference, 23-08-2021, August 2021.

S. Rüdian, M. H. Khan, and N. Pinkwart. Using H5P in Exams: A Method to prevent Cheating. International Conference on Advanced Learning Technologies (ICALT 2021), IEEE, volume 21, July 2021.

S. Rüdian and N. Pinkwart. Generating adaptive and personalized language learning online courses in Moodle with individual learning paths using templates. International Conference on Advanced Learning Technologies (ICALT 2021), IEEE, volume 21, July 2021.

B. Paaßen, A. Bertsch, K. Langer-Fischer, S. Rüdian, X. Wang, R. Sinha, J. Kuzilek, S. Britsch, and N. Pinkwart. Analyzing Student Success and Mistakes in Virtual Microscope Structure Search Tasks. International Conference on Educational Data Mining (EDM21), volume 14, July 2021.

S. Rüdian and N. Pinkwart. Using Data Quality to compare the Prediction Accuracy based on diverse annotated Tutor Scorings. International Conference on Educational Data Mining (EDM21), volume 14, July 2021.

D. Ifenthaler, C. Schumacher, and M. Sahin. System-based or teacher-based learning analytics feedback – what works best? Paper presented at the 21th IEEE International Conference on Advanced Learning Technologies (ICALT 2021), Virtual Conference, 12-07-2021., July 2021.

S. Rüdian and N. Pinkwart. Finding the optimal topic sequence for online courses using SERPs as a Proxy. International Conference on Educational Data Mining (EDM21), volume 14, July 2021.

C. Schumacher and J. Kuzilek. Student perspectives on automatic grouping in higher education. Paper presented at the Junges Forum für Medien und Hochschulentwicklung, Virtual Conference, 09-06-2021, June 2021.

S. Rüdian and G. Vladova. Kostenfreie Onlinekurse nachhaltig mit personalisiertem Marketing finanzieren - Ein Vorschlag zur synergetischen Kombination zweier datengetriebener Geschäftsmodelle. HMD Praxis der Wirtschaftsinformatik, Datengetriebene Geschäftsmodelle, Springer, volume 58, issue 3, June 2021.

S. Rüdian, J. Gundlach, and N. Pinkwart. 10 Items Questionnaire for Norms and Values in Education. International Conference on Learning Analytics & Knowledge (LAK21), volume 11, pages 73-75, April 2021.

S. Rüdian and J. Gundlach. The country of origin as indication for cultural norms and values to personalize online courses: A recommendation for future studies. International Conference on Learning Analytics & Knowledge (LAK21), volume 11, pages 67-69, April 2021.

C. Schumacher, N. Reich-Stiebert, J. Kuzilek, M. Burchart, J. Raimann, J.-B. Voltmer, and S. Stürmer. Group perceptions vs. group reality: Exploring the fit of self-report and log file data in the process of collaboration. Poster presented at the Conference on Learning Analytics and Knowledge, Virtual Conference, 15-04-2021, April 2021.

C. Schumacher and D. Ifenthaler. Investigating students’ perceptions of system- vs. teacher-based learning analytics feedback. Paper presented at the AERA Annual Meeting, Virtual Conference, 09-04-2021, April 2021.

K. Biernacka and N. Pinkwart. Opportunities for Adopting Open Research Data in Learning Analytics. Advancing the Power of Learning Analytics and Big Data in Education, IGI Global, pages 29-60, March 2021.

S. Krishnaraja and Participants-in-Ethics-of-Digitization-Research-Sprint. Digital Ethics in Times of Crisis: COVID-19 and Access to Education and Learning Spaces. Berkman Klein Center for Internet & Society, Harvard University, February 2021.

A. Hassan, N. Pinkwart, and M. Shafi. Serious games to improve social and emotional intelligence in children with autism. Entertainment Computing, Elsevier, 2021.