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Goller, M., &; Paloniemi, S. (2022). Agency: Taking Stock of Workplace Learning Research. In Research Approaches on Workplace Learning. Springer International Publishing.https://doi.org/10.1007/978-3-030-89582-2_1 
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Harteis, C. (2022). Research on Workplace Learning in Times of Digitalisation. In Research Approaches on Workplace Learning. Springer International Publishing.https://doi.org/10.1007/978-3-030-89582-2_19 
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Gottschalk, S., Yigitbas, E., &; Engels, G. (2022). Model-driven Continuous Experimentation on Component-based Software Architectures . Proceedings of the 18th International Conference on Software Architecture Companion . 18th International Conference on Software Architecture , Hawaii.https://doi.org/10.1109/ICSA-C54293.2022.00011 
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Schloots, F. M. (2022). aUnderstand what9s happening within8. Selbstkontrolle mit Personenwaage, Wearable und habit tracker. ffk Journal, 6(7), 74391.https://doi.org/10.25969/MEDIAREP/18238 
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Caruso, C., &; Seifert, A. (2022).https://doi.org/10.30:2022.1.14__Inwiefern ist die Professionalisierung in Praxisphasen schulformspezifisch? Österreichische Religionspädagogische Forum, 30(1), 239–260.https://doi.org/10.30:2022.1.14 
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Caruso, C., &; Seifert, A. (2022). Pädagogische Kompetenz als Ausgangspunkt beruflichen Könnens!? Ergebnisse der Kompetenzmessung angehender Lehrkräfte unter Berücksichtigung individueller Voraussetzungen. Religionspädagogische Beiträge. Journal for Religion in Education , 45(1), 3–15.https://doi.org/10.20377/rpb-101 
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Schloots, F. M. (2022). Die Tamagotchisierung des Selbst. Zur Anschaulichkeit von animierten Körperdaten. Rabbit Eye - Zeitschrift für Filmforschung, 12, 65–77.
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Schröer, F., &; Tenberge, C. (2022). How to enable pre-service teachers to design technological teaching and learning inclusively? – On the nature and consideration of basic needs in teacher training. In D. Gill, J. Tuff, T. Kennedy, S. Pendergast, &; S. Jamil (Eds.), PAT - PATT on the Edge Technology, Innovation and Education (pp. 49–57).
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Constantiou, I., Mukkamala, A., Sjöklint, M., &; Trier, M. (2022). Engaging with self-tracking applications: how do users respond to their performance data? European Journal of Information Systems, 1–21.https://doi.org/10.1080/0960085x.2022.2081096 
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Schneider, S. B., Khalili, R., Manzoor, A., Qarawlus, H., Schellenberg, R., Karl, H., &; Hecker, A. (2021). Self-Learning Multi-Objective Service Coordination Using Deep Reinforcement Learning. Transactions on Network and Service Management.https://doi.org/10.1109/TNSM.2021.3076503 
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Schneider, S. B., Karl, H., Khalili, R., &; Hecker, A. (2021). DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning.
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Bonanati, S., &; Buhl, H. M. (2021). The digital home learning environment and its relation to children’s ICT self-efficacy. Learning Environments Research, 25(2), 485–505.https://doi.org/10.1007/s10984-021-09377-8 
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Ichev, R., Koren, J., Kosi, U., Sitar Sustar, K., &; Valentincic, A. (2021). Cost of Debt for Private Firms Revisited: Voluntary Audits as a Reflection of Risk.
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Müller, O., Caron, M., Döring, M., Heuwinkel, T., &; Baumeister, J. (n.d.). PIVOT: A Parsimonious End-to-End Learning Framework for Valuing Player Actions in Handball using Tracking Data. 8th Workshop on Machine Learning and Data Mining for Sports Analytics (ECML PKDD 2021). European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML PKDD 2021), Online.
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Uhe, B., Kuball, C.-M., Merklein, M., &; Meschut, G. (2021). Self-Piercing Riveting Using Rivets Made of Stainless Steel with High Strain Hardening. In G. Daehn, J. Cao, B. Kinsey, E. Tekkaya, A. Vivek, &; Y. Yoshida (Eds.), Forming the Future - Proceedings of the 13th International Conference on the Technology of Plasticity. The Minerals, Metals &; Materials Series. (pp. 1495–1506). Springer.https://doi.org/10.1007/978-3-030-75381-8_124 
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Uhe, B., Kuball, C.-M., Merklein, M., &; Meschut, G. (2021). Strength of self-piercing riveted Joints with conventional Rivets and Rivets made of High Nitrogen Steel. 24th International Conference on Material Forming (ESAFORM), Liège, Belgien.https://doi.org/10.25518/esaform21.1911 
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Schneider, S. B., Manzoor, A., Qarawlus, H., Schellenberg, R., Karl, H., Khalili, R., &; Hecker, A. (2020). Self-Driving Network and Service Coordination Using Deep Reinforcement Learning. In IEEE International Conference on Network and Service Management (CNSM). IEEE.
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Kuball, C.-M., Uhe, B., Meschut, G., &; Merklein, M. (Eds.). (2020). Process design for the forming of semi-tubular self-piercing rivets made of high nitrogen steel (Vol. 50, pp. 280–285).https://doi.org/10.1016/j.promfg.2020.08.052 
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Otroshi, M., Rossel, M., &; Meschut, G. (2020). Stress state dependent damage modeling of self-pierce riveting process simulation using GISSMO damage model. Journal of Advanced Joining Processes, 1.https://doi.org/10.1016/j.jajp.2020.100015 
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