[{"year":"2022","citation":{"ieee":"J. Kersting and F. S. Bäumer, “Implicit Statements in Healthcare Reviews: A Challenge for Sentiment Analysis,” in Proceedings of the Fourteenth International Conference on Pervasive Patterns and Applications (PATTERNS 2022): Special Track AI-DRSWA: Maturing Artificial Intelligence - Data Science for Real-World Applications, Barcelona, Spain, 2022, pp. 5–9.","short":"J. Kersting, F.S. Bäumer, in: J. Kersting (Ed.), Proceedings of the Fourteenth International Conference on Pervasive Patterns and Applications (PATTERNS 2022): Special Track AI-DRSWA: Maturing Artificial Intelligence - Data Science for Real-World Applications, IARIA, Barcelona, Spain, 2022, pp. 5–9.","bibtex":"@inproceedings{Kersting_Bäumer_2022, place={Barcelona, Spain}, title={Implicit Statements in Healthcare Reviews: A Challenge for Sentiment Analysis}, booktitle={Proceedings of the Fourteenth International Conference on Pervasive Patterns and Applications (PATTERNS 2022): Special Track AI-DRSWA: Maturing Artificial Intelligence - Data Science for Real-World Applications}, publisher={IARIA}, author={Kersting, Joschka and Bäumer, Frederik Simon}, editor={Kersting, Joschka}, year={2022}, pages={5–9} }","mla":"Kersting, Joschka, and Frederik Simon Bäumer. “Implicit Statements in Healthcare Reviews: A Challenge for Sentiment Analysis.” Proceedings of the Fourteenth International Conference on Pervasive Patterns and Applications (PATTERNS 2022): Special Track AI-DRSWA: Maturing Artificial Intelligence - Data Science for Real-World Applications, edited by Joschka Kersting, IARIA, 2022, pp. 5–9.","apa":"Kersting, J., & Bäumer, F. S. (2022). Implicit Statements in Healthcare Reviews: A Challenge for Sentiment Analysis. In J. Kersting (Ed.), Proceedings of the Fourteenth International Conference on Pervasive Patterns and Applications (PATTERNS 2022): Special Track AI-DRSWA: Maturing Artificial Intelligence - Data Science for Real-World Applications (pp. 5–9). IARIA.","ama":"Kersting J, Bäumer FS. Implicit Statements in Healthcare Reviews: A Challenge for Sentiment Analysis. In: Kersting J, ed. Proceedings of the Fourteenth International Conference on Pervasive Patterns and Applications (PATTERNS 2022): Special Track AI-DRSWA: Maturing Artificial Intelligence - Data Science for Real-World Applications. IARIA; 2022:5-9.","chicago":"Kersting, Joschka, and Frederik Simon Bäumer. “Implicit Statements in Healthcare Reviews: A Challenge for Sentiment Analysis.” In Proceedings of the Fourteenth International Conference on Pervasive Patterns and Applications (PATTERNS 2022): Special Track AI-DRSWA: Maturing Artificial Intelligence - Data Science for Real-World Applications, edited by Joschka Kersting, 5–9. Barcelona, Spain: IARIA, 2022."},"type":"conference","page":"5-9","_id":"31054","conference":{"start_date":"2022-03","name":"The Fourteenth International Conference on Pervasive Patterns and Applications (PATTERNS 2022)","location":"Barcelona, Spain"},"status":"public","has_accepted_license":"1","date_created":"2022-05-04T08:12:09Z","publisher":"IARIA","author":[{"first_name":"Joschka","full_name":"Kersting, Joschka","last_name":"Kersting","id":"58701"},{"last_name":"Bäumer","id":"38837","first_name":"Frederik Simon","full_name":"Bäumer, Frederik Simon"}],"keyword":["Sentiment analysis","Natural language processing","Aspect phrase extraction"],"file_date_updated":"2022-12-01T13:39:48Z","publication":"Proceedings of the Fourteenth International Conference on Pervasive Patterns and Applications (PATTERNS 2022): Special Track AI-DRSWA: Maturing Artificial Intelligence - Data Science for Real-World Applications","file":[{"file_size":155548,"file_id":"34172","creator":"jkers","content_type":"application/pdf","date_updated":"2022-12-01T13:39:48Z","relation":"main_file","success":1,"file_name":"Kersting & Bäumer (2022), Kersting2022.pdf","date_created":"2022-12-01T13:39:48Z","access_level":"closed"}],"ddc":["006"],"user_id":"58701","abstract":[{"lang":"eng","text":"This paper aims at discussing past limitations set in sentiment analysis research regarding explicit and implicit mentions of opinions. Previous studies have regularly neglected this question in favor of methodical research on standard-datasets. Furthermore, they were limited to linguistically less-diverse domains, such as commercial product reviews. We face this issue by annotating a German-language physician review dataset that contains numerous implicit, long, and complex statements that indicate aspect ratings, such as the physician’s friendliness. We discuss the nature of implicit statements and present various samples to illustrate the challenge described."}],"language":[{"iso":"eng"}],"date_updated":"2022-12-01T13:40:11Z","editor":[{"last_name":"Kersting","first_name":"Joschka","full_name":"Kersting, Joschka"}],"publication_status":"published","project":[{"name":"SFB 901: SFB 901","_id":"1"},{"name":"SFB 901 - B: SFB 901 - Project Area B","_id":"3"},{"_id":"9","name":"SFB 901 - B1: SFB 901 - Subproject B1"}],"title":"Implicit Statements in Healthcare Reviews: A Challenge for Sentiment Analysis","place":"Barcelona, Spain"},{"extern":"1","user_id":"42447","title":"Network Disruption and the Common-Enemy Effect","department":[{"_id":"280"},{"_id":"475"}],"publication":"International Journal of Game Theory","publisher":"Springer","author":[{"first_name":"Britta","full_name":"Hoyer, Britta","last_name":"Hoyer","id":"42447"},{"last_name":"De Jaegher","first_name":"Kris","full_name":"De Jaegher, Kris"}],"date_created":"2022-06-14T15:33:35Z","project":[{"_id":"1","name":"SFB 901: SFB 901"},{"name":"SFB 901 - A: SFB 901 - Project Area A","_id":"2"},{"_id":"7","name":"SFB 901 - A3: SFB 901 - Subproject A3"}],"status":"public","publication_status":"epub_ahead","_id":"31881","date_updated":"2022-12-04T14:40:38Z","doi":"10.1007/s00182-022-00812-5","language":[{"iso":"eng"}],"type":"journal_article","citation":{"ieee":"B. Hoyer and K. De Jaegher, “Network Disruption and the Common-Enemy Effect,” International Journal of Game Theory, 2022, doi: 10.1007/s00182-022-00812-5.","short":"B. Hoyer, K. De Jaegher, International Journal of Game Theory (2022).","bibtex":"@article{Hoyer_De Jaegher_2022, title={Network Disruption and the Common-Enemy Effect}, DOI={10.1007/s00182-022-00812-5}, journal={International Journal of Game Theory}, publisher={Springer}, author={Hoyer, Britta and De Jaegher, Kris}, year={2022} }","mla":"Hoyer, Britta, and Kris De Jaegher. “Network Disruption and the Common-Enemy Effect.” International Journal of Game Theory, Springer, 2022, doi:10.1007/s00182-022-00812-5.","ama":"Hoyer B, De Jaegher K. Network Disruption and the Common-Enemy Effect. International Journal of Game Theory. Published online 2022. doi:10.1007/s00182-022-00812-5","apa":"Hoyer, B., & De Jaegher, K. (2022). Network Disruption and the Common-Enemy Effect. International Journal of Game Theory. https://doi.org/10.1007/s00182-022-00812-5","chicago":"Hoyer, Britta, and Kris De Jaegher. “Network Disruption and the Common-Enemy Effect.” International Journal of Game Theory, 2022. https://doi.org/10.1007/s00182-022-00812-5."},"year":"2022"},{"type":"misc","citation":{"ieee":"S. Lebock, Blogpost “Von der Grundstimmung als philosophischer Ausgangspunkt.” 2022.","short":"S. Lebock, Blogpost “Von Der Grundstimmung Als Philosophischer Ausgangspunkt,” 2022.","bibtex":"@book{Lebock_2022, title={Blogpost “Von der Grundstimmung als philosophischer Ausgangspunkt”}, author={Lebock, Sarah}, year={2022} }","mla":"Lebock, Sarah. Blogpost “Von Der Grundstimmung Als Philosophischer Ausgangspunkt.” 2022.","chicago":"Lebock, Sarah. Blogpost “Von Der Grundstimmung Als Philosophischer Ausgangspunkt,” 2022.","ama":"Lebock S. Blogpost “Von Der Grundstimmung Als Philosophischer Ausgangspunkt.”; 2022.","apa":"Lebock, S. (2022). Blogpost “Von der Grundstimmung als philosophischer Ausgangspunkt.”"},"year":"2022","language":[{"iso":"eng"}],"main_file_link":[{"url":"https://blogs.uni-paderborn.de/zekkblog/2022/12/02/von-der-grundstimmung-als-philosophischer-ausgangspunkt/"}],"_id":"34187","date_updated":"2022-12-04T00:03:07Z","date_created":"2022-12-04T00:01:28Z","status":"public","department":[{"_id":"550"}],"author":[{"id":"53425","last_name":"Lebock","full_name":"Lebock, Sarah","first_name":"Sarah"}],"title":"Blogpost \"Von der Grundstimmung als philosophischer Ausgangspunkt\"","user_id":"53425","abstract":[{"lang":"eng","text":"BloKK-Beitrag für das ZeKK, 03.12.2022"}]},{"language":[{"iso":"eng"}],"oa":"1","doi":"10.1109/TASLP.2022.3209942","date_updated":"2022-12-05T12:35:31Z","publication_identifier":{"issn":["Print ISSN: 2329-9290 Electronic ISSN: 2329-9304"]},"publication_status":"published","department":[{"_id":"54"}],"related_material":{"link":[{"url":"https://ieeexplore.ieee.org/abstract/document/9904314","relation":"confirmation"}]},"title":"End-to-End Dereverberation, Beamforming, and Speech Recognition in A Cocktail Party","citation":{"short":"W. Zhang, X. Chang, C. Boeddeker, T. Nakatani, S. Watanabe, Y. Qian, IEEE/ACM Transactions on Audio, Speech, and Language Processing (2022).","ieee":"W. Zhang, X. Chang, C. Boeddeker, T. Nakatani, S. Watanabe, and Y. Qian, “End-to-End Dereverberation, Beamforming, and Speech Recognition in A Cocktail Party,” IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2022, doi: 10.1109/TASLP.2022.3209942.","apa":"Zhang, W., Chang, X., Boeddeker, C., Nakatani, T., Watanabe, S., & Qian, Y. (2022). End-to-End Dereverberation, Beamforming, and Speech Recognition in A Cocktail Party. IEEE/ACM Transactions on Audio, Speech, and Language Processing. https://doi.org/10.1109/TASLP.2022.3209942","ama":"Zhang W, Chang X, Boeddeker C, Nakatani T, Watanabe S, Qian Y. End-to-End Dereverberation, Beamforming, and Speech Recognition in A Cocktail Party. IEEE/ACM Transactions on Audio, Speech, and Language Processing. Published online 2022. doi:10.1109/TASLP.2022.3209942","chicago":"Zhang, Wangyou, Xuankai Chang, Christoph Boeddeker, Tomohiro Nakatani, Shinji Watanabe, and Yanmin Qian. “End-to-End Dereverberation, Beamforming, and Speech Recognition in A Cocktail Party.” IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2022. https://doi.org/10.1109/TASLP.2022.3209942.","bibtex":"@article{Zhang_Chang_Boeddeker_Nakatani_Watanabe_Qian_2022, title={End-to-End Dereverberation, Beamforming, and Speech Recognition in A Cocktail Party}, DOI={10.1109/TASLP.2022.3209942}, journal={IEEE/ACM Transactions on Audio, Speech, and Language Processing}, author={Zhang, Wangyou and Chang, Xuankai and Boeddeker, Christoph and Nakatani, Tomohiro and Watanabe, Shinji and Qian, Yanmin}, year={2022} }","mla":"Zhang, Wangyou, et al. “End-to-End Dereverberation, Beamforming, and Speech Recognition in A Cocktail Party.” IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2022, doi:10.1109/TASLP.2022.3209942."},"type":"journal_article","year":"2022","_id":"33669","date_created":"2022-10-11T07:27:51Z","status":"public","has_accepted_license":"1","file":[{"access_level":"open_access","file_name":"End-to-End_Dereverberation_Beamforming_and_Speech_Recognition_in_A_Cocktail_Party.pdf","date_created":"2022-10-11T07:23:13Z","content_type":"application/pdf","date_updated":"2022-10-11T07:23:13Z","relation":"main_file","file_size":6167931,"file_id":"33674","creator":"huesera"}],"publication":"IEEE/ACM Transactions on Audio, Speech, and Language Processing","file_date_updated":"2022-10-11T07:23:13Z","author":[{"first_name":"Wangyou","full_name":"Zhang, Wangyou","last_name":"Zhang"},{"last_name":"Chang","first_name":"Xuankai","full_name":"Chang, Xuankai"},{"last_name":"Boeddeker","id":"40767","first_name":"Christoph","full_name":"Boeddeker, Christoph"},{"last_name":"Nakatani","full_name":"Nakatani, Tomohiro","first_name":"Tomohiro"},{"full_name":"Watanabe, Shinji","first_name":"Shinji","last_name":"Watanabe"},{"last_name":"Qian","full_name":"Qian, Yanmin","first_name":"Yanmin"}],"user_id":"40767","ddc":["000"],"abstract":[{"lang":"eng","text":"Far-field multi-speaker automatic speech recognition (ASR) has drawn increasing attention in recent years. Most existing methods feature a signal processing frontend and an ASR backend. In realistic scenarios, these modules are usually trained separately or progressively, which suffers from either inter-module mismatch or a complicated training process. In this paper, we propose an end-to-end multi-channel model that jointly optimizes the speech enhancement (including speech dereverberation, denoising, and separation) frontend and the ASR backend as a single system. To the best of our knowledge, this is the first work that proposes to optimize dereverberation, beamforming, and multi-speaker ASR in a fully end-to-end manner. The frontend module consists of a weighted prediction error (WPE) based submodule for dereverberation and a neural beamformer for denoising and speech separation. For the backend, we adopt a widely used end-to-end (E2E) ASR architecture. It is worth noting that the entire model is differentiable and can be optimized in a fully end-to-end manner using only the ASR criterion, without the need of parallel signal-level labels. We evaluate the proposed model on several multi-speaker benchmark datasets, and experimental results show that the fully E2E ASR model can achieve competitive performance on both noisy and reverberant conditions, with over 30% relative word error rate (WER) reduction over the single-channel baseline systems."}]},{"language":[{"iso":"eng"}],"type":"journal_article","citation":{"apa":"Panzner, M., von Enzberg, S., Meyer, M., & Dumitrescu, R. (2022). Characterization of Usage Data with the Help of Data Classifications. Journal of the Knowledge Economy. https://doi.org/10.1007/s13132-022-01081-z","ama":"Panzner M, von Enzberg S, Meyer M, Dumitrescu R. Characterization of Usage Data with the Help of Data Classifications. Journal of the Knowledge Economy. Published online 2022. doi:10.1007/s13132-022-01081-z","chicago":"Panzner, Melina, Sebastian von Enzberg, Maurice Meyer, and Roman Dumitrescu. “Characterization of Usage Data with the Help of Data Classifications.” Journal of the Knowledge Economy, 2022. https://doi.org/10.1007/s13132-022-01081-z.","bibtex":"@article{Panzner_von Enzberg_Meyer_Dumitrescu_2022, title={Characterization of Usage Data with the Help of Data Classifications}, DOI={10.1007/s13132-022-01081-z}, journal={Journal of the Knowledge Economy}, publisher={Springer Science and Business Media LLC}, author={Panzner, Melina and von Enzberg, Sebastian and Meyer, Maurice and Dumitrescu, Roman}, year={2022} }","mla":"Panzner, Melina, et al. “Characterization of Usage Data with the Help of Data Classifications.” Journal of the Knowledge Economy, Springer Science and Business Media LLC, 2022, doi:10.1007/s13132-022-01081-z.","short":"M. Panzner, S. von Enzberg, M. Meyer, R. Dumitrescu, Journal of the Knowledge Economy (2022).","ieee":"M. Panzner, S. von Enzberg, M. Meyer, and R. Dumitrescu, “Characterization of Usage Data with the Help of Data Classifications,” Journal of the Knowledge Economy, 2022, doi: 10.1007/s13132-022-01081-z."},"year":"2022","_id":"34197","date_updated":"2022-12-05T12:51:03Z","doi":"10.1007/s13132-022-01081-z","publisher":"Springer Science and Business Media LLC","author":[{"full_name":"Panzner, Melina","first_name":"Melina","last_name":"Panzner"},{"full_name":"von Enzberg, Sebastian","first_name":"Sebastian","last_name":"von Enzberg"},{"last_name":"Meyer","first_name":"Maurice","full_name":"Meyer, Maurice"},{"last_name":"Dumitrescu","first_name":"Roman","full_name":"Dumitrescu, Roman"}],"department":[{"_id":"563"}],"keyword":["Economics and Econometrics"],"publication":"Journal of the Knowledge Economy","status":"public","date_created":"2022-12-05T12:49:56Z","publication_status":"published","publication_identifier":{"issn":["1868-7865","1868-7873"]},"abstract":[{"lang":"eng","text":"AbstractComprehensive data understanding is a key success driver for data analytics projects. Knowing the characteristics of the data helps a lot in selecting the appropriate data analysis techniques. Especially in data-driven product planning, knowledge about the data is a necessary prerequisite because data of the use phase is very heterogeneous. However, companies often do not have the necessary know-how or time to build up solid data understanding in connection with data analysis. In this paper, we develop a methodology to organize and categorize and thus understand use phase data in a way that makes it accessible to general data analytics workflows, following a design science research approach. We first present a knowledge base that lists typical use phase data from a product planning view. Second, we develop a taxonomy based on standard literature and real data objects, which covers the diversity of the data considered. The taxonomy provides 8 dimensions that support classification of use phase data and allows to capture data characteristics from a data analytics view. Finally, we combine both views by clustering the objects of the knowledge base according to the taxonomy. Each of the resulting clusters covers a typical combination of analytics relevant characteristics occurring in practice. By abstracting from the diversity of use phase data into artifacts with manageable complexity, our approach provides guidance to choose appropriate data analysis and AI techniques."}],"user_id":"15782","title":"Characterization of Usage Data with the Help of Data Classifications"},{"user_id":"15782","abstract":[{"text":"Mounting sensors in disk stack separators is often a major challenge due to the operating conditions. However, a process cannot be optimally monitored without sensors. Virtual sensors can be a solution to calculate the sought parameters from measurable values. We measured the vibrations of disk stack separators and applied machine learning (ML) to detect whether the separator contains only water or whether particles are also present. We combined seven ML classification algorithms with three feature engineering strategies and evaluated our model successfully on vibration data of an experimental disk stack separator. Our experimental results demonstrate that random forest in combination with manual feature engineering using domain specific knowledge about suitable features outperforms all other models with an accuracy of 91.27 %.","lang":"eng"}],"status":"public","date_created":"2022-12-05T12:47:22Z","volume":46,"author":[{"first_name":"Silke","full_name":"Merkelbach, Silke","last_name":"Merkelbach"},{"last_name":"Afroze","first_name":"Lameya","full_name":"Afroze, Lameya"},{"full_name":"Janssen, Nils","first_name":"Nils","last_name":"Janssen"},{"first_name":"Sebastian","full_name":"von Enzberg, Sebastian","last_name":"von Enzberg"},{"full_name":"Kühn, Arno","first_name":"Arno","last_name":"Kühn"},{"last_name":"Dumitrescu","full_name":"Dumitrescu, Roman","first_name":"Roman"}],"publisher":"JVE International Ltd.","publication":"Vibroengineering PROCEDIA","keyword":["General Medicine"],"intvolume":" 46","_id":"34196","type":"journal_article","year":"2022","citation":{"chicago":"Merkelbach, Silke, Lameya Afroze, Nils Janssen, Sebastian von Enzberg, Arno Kühn, and Roman Dumitrescu. “Using Vibration Data to Classify Conditions in Disk Stack Separators.” Vibroengineering PROCEDIA 46 (2022): 21–26. https://doi.org/10.21595/vp.2022.23000.","apa":"Merkelbach, S., Afroze, L., Janssen, N., von Enzberg, S., Kühn, A., & Dumitrescu, R. (2022). Using vibration data to classify conditions in disk stack separators. Vibroengineering PROCEDIA, 46, 21–26. https://doi.org/10.21595/vp.2022.23000","ama":"Merkelbach S, Afroze L, Janssen N, von Enzberg S, Kühn A, Dumitrescu R. Using vibration data to classify conditions in disk stack separators. Vibroengineering PROCEDIA. 2022;46:21-26. doi:10.21595/vp.2022.23000","bibtex":"@article{Merkelbach_Afroze_Janssen_von Enzberg_Kühn_Dumitrescu_2022, title={Using vibration data to classify conditions in disk stack separators}, volume={46}, DOI={10.21595/vp.2022.23000}, journal={Vibroengineering PROCEDIA}, publisher={JVE International Ltd.}, author={Merkelbach, Silke and Afroze, Lameya and Janssen, Nils and von Enzberg, Sebastian and Kühn, Arno and Dumitrescu, Roman}, year={2022}, pages={21–26} }","mla":"Merkelbach, Silke, et al. “Using Vibration Data to Classify Conditions in Disk Stack Separators.” Vibroengineering PROCEDIA, vol. 46, JVE International Ltd., 2022, pp. 21–26, doi:10.21595/vp.2022.23000.","short":"S. Merkelbach, L. Afroze, N. Janssen, S. von Enzberg, A. Kühn, R. Dumitrescu, Vibroengineering PROCEDIA 46 (2022) 21–26.","ieee":"S. Merkelbach, L. Afroze, N. Janssen, S. von Enzberg, A. Kühn, and R. Dumitrescu, “Using vibration data to classify conditions in disk stack separators,” Vibroengineering PROCEDIA, vol. 46, pp. 21–26, 2022, doi: 10.21595/vp.2022.23000."},"page":"21-26","title":"Using vibration data to classify conditions in disk stack separators","publication_identifier":{"issn":["2345-0533","2538-8479"]},"publication_status":"published","department":[{"_id":"563"}],"doi":"10.21595/vp.2022.23000","date_updated":"2022-12-05T12:51:08Z","language":[{"iso":"eng"}]},{"language":[{"iso":"eng"}],"citation":{"short":"D. Hobscheidt, J.S. Menzefricke, S. Gabriel, A. Kühn, R. Dumitrescu, in: Praxishandbuch Robotic Process Automation (RPA), Springer Fachmedien Wiesbaden, Wiesbaden, 2022.","ieee":"D. Hobscheidt, J. S. Menzefricke, S. Gabriel, A. Kühn, and R. 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Nutzung von Process Mining in RPA-Projekten. In: Praxishandbuch Robotic Process Automation (RPA). Springer Fachmedien Wiesbaden; 2022. doi:10.1007/978-3-658-38379-4_5","apa":"Brock, J., von Enzberg, S., Kühn, A., & Dumitrescu, R. (2022). Nutzung von Process Mining in RPA-Projekten. In Praxishandbuch Robotic Process Automation (RPA). Springer Fachmedien Wiesbaden. https://doi.org/10.1007/978-3-658-38379-4_5","chicago":"Brock, Jonathan, Sebastian von Enzberg, Arno Kühn, and Roman Dumitrescu. “Nutzung von Process Mining in RPA-Projekten.” In Praxishandbuch Robotic Process Automation (RPA). 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Rekonstruktive Evaluationsforschung im Kontext praxeologischer Kompetenzdiskurse. Kritische Reflexionen und konzeptionelle Überlegungen zur Dokumentarischen Evaluationsforschung. Zeitschrift für Evaluation. 2022;2022(02):193-215. doi:10.31244/zfe.2022.02.02","apa":"Bloh, T. (2022). Rekonstruktive Evaluationsforschung im Kontext praxeologischer Kompetenzdiskurse. Kritische Reflexionen und konzeptionelle Überlegungen zur Dokumentarischen Evaluationsforschung. Zeitschrift für Evaluation, 2022(02), 193–215. https://doi.org/10.31244/zfe.2022.02.02","chicago":"Bloh, Thiemo. “Rekonstruktive Evaluationsforschung im Kontext praxeologischer Kompetenzdiskurse. Kritische Reflexionen und konzeptionelle Überlegungen zur Dokumentarischen Evaluationsforschung.” Zeitschrift für Evaluation 2022, no. 02 (2022): 193–215. https://doi.org/10.31244/zfe.2022.02.02.","bibtex":"@article{Bloh_2022, title={Rekonstruktive Evaluationsforschung im Kontext praxeologischer Kompetenzdiskurse. Kritische Reflexionen und konzeptionelle Überlegungen zur Dokumentarischen Evaluationsforschung}, volume={2022}, DOI={10.31244/zfe.2022.02.02}, number={02}, journal={Zeitschrift für Evaluation}, publisher={Waxmann}, author={Bloh, Thiemo}, year={2022}, pages={193–215} }","mla":"Bloh, Thiemo. “Rekonstruktive Evaluationsforschung im Kontext praxeologischer Kompetenzdiskurse. Kritische Reflexionen und konzeptionelle Überlegungen zur Dokumentarischen Evaluationsforschung.” Zeitschrift für Evaluation, vol. 2022, no. 02, Waxmann, 2022, pp. 193–215, doi:10.31244/zfe.2022.02.02.","short":"T. Bloh, Zeitschrift für Evaluation 2022 (2022) 193–215.","ieee":"T. Bloh, “Rekonstruktive Evaluationsforschung im Kontext praxeologischer Kompetenzdiskurse. Kritische Reflexionen und konzeptionelle Überlegungen zur Dokumentarischen Evaluationsforschung,” Zeitschrift für Evaluation, vol. 2022, no. 02, pp. 193–215, 2022, doi: 10.31244/zfe.2022.02.02."},"year":"2022","page":"193-215","issue":"02","_id":"34200","intvolume":" 2022","status":"public","date_created":"2022-12-05T13:25:58Z","volume":2022,"publisher":"Waxmann","author":[{"first_name":"Thiemo","full_name":"Bloh, Thiemo","last_name":"Bloh"}],"quality_controlled":"1","keyword":["Strategy and Management","Applied Psychology","Social Sciences (miscellaneous)","Education","Communication","Statistics and Probability"],"publication":"Zeitschrift für Evaluation","user_id":"69383","abstract":[{"text":"Praxeologische Kompetenzansätze verstehen Kompetenz als sozial erlernt und folglich als relativ zum sozialen Kontext. Damit einher geht die Frage, wie solche praxeologisch gerahmten Kompetenzen eigentlich unabhängig von der sie hervorbringenden Praxis evaluiert werden können – und eben dadurch erst für einen breiteren Kompetenzdiskurs fruchtbar sind. Die Dokumentarische Evaluationsforschung bietet hierzu erste Anhaltspunkte, offenbart aber auch Grenzen, die mit dem Evaluationsverständnis zusammenhängen, sich jedoch in der Forschungspraxis so nicht finden lassen. Aus der Differenz zwischen Methode und Praxis dokumentarischer Evaluation lässt sich formulieren, wie eine praxeologische Evaluation gestaltet werden könnte. Dabei spielt die Formulierung von Referenzrahmen eine zentrale Rolle, welche einerseits der zu evaluierenden Praktik external sein, andererseits praktisch formuliert werden müssen, damit sie soziale Praktiken jenseits ihrer eigenen Sinnhaftigkeit evaluativ (er-)fassen können.","lang":"eng"}],"language":[{"iso":"ger"}],"doi":"10.31244/zfe.2022.02.02","date_updated":"2022-12-05T13:26:35Z","publication_identifier":{"issn":["1619-5515","2699-5506"]},"publication_status":"published","department":[{"_id":"4"}],"title":"Rekonstruktive Evaluationsforschung im Kontext praxeologischer Kompetenzdiskurse. Kritische Reflexionen und konzeptionelle Überlegungen zur Dokumentarischen Evaluationsforschung"}]