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Feedback als Voraussetzung für die Organisation erfolgreicher Lernprozesse
Remdisch, S., 2005, Praxishandbuch Bildungscontrolling für exzellente Personalarbeit: Konzepte - Methoden - Instrumente - Unternehmenspraxis. Gust, M. & Weiß, R. (eds.). [Oberhaching bei München]: USP International Publishing, p. 17-31 15 p.
Research output: Contributions to collected editions/works › Contributions to collected editions/anthologies › Research
Published
Feedback als Merkmal adaptiver Lernunterstützung am Beispiel einer digitalen Lernplattform für das Unterrichtsfach Mathematik
Altenburger, L., Hase, A. K., Besser, M. & Kuhl, P., 18.03.2024, In: PFLB - Zeitschrift für Schul- und Professionsentwicklung. 6, 2, p. 128-147 20 p.
Research output: Journal contributions › Journal articles › Research › peer-review
Published
Feedback
Remdisch, S., 2009, Vahlens Großes Personallexikon . Scholz, C. (ed.). München: Verlag Franz Vahlen, p. 345-348 4 p.
Research output: Contributions to collected editions/works › Articles for encyclopedia › Research
Published
Feedback
Müggenburg, J. K., 2019, Mensch-Maschine-Interaktion: Handbuch zur Geschichte – Kultur – Ethik.. Liggieri, K. & Müller, O. (eds.). Stuttgart: J.B. Metzler, p. 260–262 3 p.
Research output: Contributions to collected editions/works › Contributions to collected editions/anthologies › Research
Published
Feedback
von Saldern, M., 2012, In: SchulVerwaltung. 14, 4, p. 4-6 3 p.
Research output: Journal contributions › Journal articles › Transfer
Fedeli alla linea "Getreu der Linie mit Marx" neu beginnen
Nigro, R. & Schönberger, K., 2012, DKM Jahrbuch: Practices of Experimentation. Schiesser, G. & Brunner, C. (eds.). Zürich: Scheidegger & Spiess, p. 174-187 14 p.
Research output: Contributions to collected editions/works › Contributions to collected editions/anthologies › Transfer › peer-review
Published
Feature selection for density level-sets
Kloft, M., Nakajima, S. & Brefeld, U., 2009, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Buntine, W., Grobelnik, M., Mladenic, D. & Shawe-Taylor, J. (eds.). Heidelberg: Springer Verlag, p. 692-704 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 5781 LNAI, no. PART 1).
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
Published
Feature Extraction and Aggregation for Predicting the Euro 2016
Tavakol, M., Zafartavanaelmi, H. & Brefeld, U., 09.2016, In: CEUR Workshop Proceedings. 1842, 1842, 7 p.
Research output: Journal contributions › Conference article in journal › Research › peer-review
Published
Feasibility Study of Solid-State Recycling through Direct Hot Rolling of AA5754 Aluminum Chips for Automotive Applications
El Mehtedi, M., Buonadonna, P., El Mohtadi, R., Loi, G., Aymerich, F., Ben Khalifa, N. & Carta, M., 01.10.2024, Aluminum, Polymers, Composites and Additive Manufacturing. Omatsu, T., Donati, L., Alin Sirbu, N. & Ali, A. (eds.). Trans Tech Publications Ltd, p. 3-12 10 p. (Materials Science Forum; vol. 1130).
Research output: Contributions to collected editions/works › Chapter › peer-review
Published
Feasibility study of friction stir joining of aluminium with carbon fibre reinforced thermoplastic composite
Malaske, L., Blaga, L. A., Bermann, L., Ahmad, B., Zhang, X. & Klusemann, B., 07.2024, In: Journal of Composite Materials. 58, 17, p. 1987-2003 17 p.
Research output: Journal contributions › Journal articles › Research › peer-review

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