Publikationen
155 Übereinstimmungen gefunden / 1-15 16-30 31-45 46-60 61-75 76-90 91-105 106-120 121-135 136-150 151-155
The sound of respondents: predicting respondents’ level of interest in questions with voice data in smartphone surveys.Höhne, J. K., Kern, C., Gavras, K., & Schlosser, S. (2023).The sound of respondents: predicting respondents’ level of interest in questions with voice data in smartphone surveys. Quality & Quantity, International Journal of Methodology, 57(6). https://doi.org/10.1007/s11135-023-01776-8 Abstract
Web surveys completed on smartphones open novel ways for measuring respondents’ attitudes, behaviors, and beliefs that are crucial for social science research and many adjacent research fields. In this study, we make use of the built-in microphones of smartphones to record voice answers in a smartphone survey and extract non-verbal cues, such as amplitudes and pitches, from the collected voice data. This allows us to predict respondents’ level of interest (i.e., disinterest, neutral, and high interest) based on their voice answers, which expands the opportunities for researching respondents’ engagement and answer behavior. [...] Full abstract: https://doi.org/10.1007/s11135-023-01776-8 |
Pragmatische Tools oder kreativer Umgang? Qualitative Methoden in der anwendungsorientierten Hochschulforschung.İkiz-Akıncı, D., Behrmann, L., & Rückamp, V. (2023).Pragmatische Tools oder kreativer Umgang? Qualitative Methoden in der anwendungsorientierten Hochschulforschung. Forum Qualitative Sozialforschung 24(3). www.qualitative-research.net, https://doi.org/10.17169/fqs-24.3.3968 (Abgerufen am: 26.09.2023) (online first). https://doi.org/10.17169/fqs-24.3.3968 |
A strategy for retrospective evaluation of students SQL learning engagements.Obionwu, C. V., Kalu, K. O., Blockhaus, P., Broneske, D., & Saake, G. (2023).A strategy for retrospective evaluation of students SQL learning engagements. In IEEE Institute of Electrical and Electronic Engineers (Hrsg.), 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME 2023) (S. 1-7). Tenerife, Spain: IEEE. https://doi.org/10.1109/ICECCME57830.2023.10252347 |
Optical image recognition strategy for keyword extraction and page ranking for slide recommendation system.Obionwu, C. V., Abbas, S. M. L., Padmanabhan, V., Tiwari, T., Broneske, D., & Saake, G. (2023).Optical image recognition strategy for keyword extraction and page ranking for slide recommendation system. In IEEE Institute of Electrical and Electronic Engineers (Hrsg.), 2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) (S. 1-6). Tenerife, Spain: IEEE. https://doi.org/10.1109/ICECCME57830.2023.10252423 |
FPGA-integrated bag of little bootstraps accelerator for approximate database query processing.Burtsev, V., Wilhelm, M., Drewes, A., Gurumurthy, B., Broneske, D., Pionteck, T., & Saake, G. (2023).FPGA-integrated bag of little bootstraps accelerator for approximate database query processing. In F. Palumbo, G. Keramidas, N. Voros, & P. C. Diniz (Hrsg.), Applied Reconfigurable Computing. Architectures, Tools, and Applications (ARC 2023). Lecture Notes in Computer Science (S. 115-130). Cham: Springer. |
Enhancing AutoNLP with fine-tuned BERT models: An evaluation of text representation methods for AutoPyTorch.Safikhani, P., & Broneske, D. (2023).Enhancing AutoNLP with fine-tuned BERT models: An evaluation of text representation methods for AutoPyTorch. In D. C. Wyld & D. Nagamalai (Hrsg.), Computer Science & Information Technology (CS & IT) (S. 23-38). Chennai, Tamil Nadu, India: AIRCC Publishing Corporation. |
Decoding the encoded - Linguistic secrets of language models: A systematic literature review.Avetisyan, H., & Broneske, D. (2023).Decoding the encoded - Linguistic secrets of language models: A systematic literature review. In D. C. Wyld & D. Nagamalai (Hrsg.), Computer Science & Information Technology (CS & IT) (S. 67-88). Chennai, Tamil Nadu, India: AIRCC Publishing Corporation. |
Investigating respondents’ willingness to participate in video-based web surveys.Höhne, J. K., Ziller, C., & Lenzner, T. (2023).Investigating respondents’ willingness to participate in video-based web surveys. International Journal of Market Research. https://doi.org/10.1177/14707853231198788 (Abgerufen am: 06.09.2023) (online first). https://doi.org/10.1177/14707853231198788 |
What happens when two multi-query optimization paradigms combine?Gurumurthy, B., Bidarkar, V. R., Broneske, D., Pionteck, T., & Saake, G. (2023).What happens when two multi-query optimization paradigms combine? In A. Abelló, P. Vassiliadis, O. Romero, & R. Wrembel (Hrsg.), Advances in Databases and Information Systems (ADBIS 2023). Cham: Springer (online first). https://doi.org/10.1007/978-3-031-42914-9_6 |
Investigating lakehouse-backbones for vehicle sensor data.Vox, C., Broneske, D., Piewek, J., Feigel, J., & Saake, G. (2023).Investigating lakehouse-backbones for vehicle sensor data. In C. Strauss, T. Amagasa, G. Kotsis, A. M. Tjoa, & I. Khalil (Hrsg.), Database and Expert Systems Applications (DEXA 2023). Cham: Springer (online first). https://doi.org/10.1007/978-3-031-39847-6_17 |
Investigating direction effects in rating scales with five and seven points in a probability-based online panel.Höhne, J. K., Krebs, D., & Kühnel, S. (2023).Investigating direction effects in rating scales with five and seven points in a probability-based online panel. Survey Research Methods, 17(2), 193-204. https://doi.org/10.18148/srm/2023.v17i2.8006 |
Automatic instructional feedback, and a lecture hub system: A strategy towards nurturing the acquisition of a structured engagement behavior.Obionwu, V., Toulouse, V., Broneske, D., & Saake, G. (2023).Automatic instructional feedback, and a lecture hub system: A strategy towards nurturing the acquisition of a structured engagement behavior. In A. Cuzzocrea, O. Gusikhin, S. Hammoudi, & C. Quix (Hrsg.), Data Management Technologies and Applications. DATA DATA 2022 2021. Communications in Computer and Information Science. Cham: Springer. https://doi.org/10.1007/978-3-031-37890-4_11 |
AUTARKYO: Interactive app for the planning and evaluation of energy self-sufficient houses.Erhardt, A.-L., Rzepus, H. J., Griel, C., Broneske, D., & Vorhauer-Huget, N. (2023).AUTARKYO: Interactive app for the planning and evaluation of energy self-sufficient houses. In IATED (Hrsg.), EDULEARN23 Proceedings of the 15th International Conference on Education and New Learning Technologies, Palma de Mallorca, Spain. 3-5 July, 2023 (S. 1458-1467). Valencia, Spain: IATED Academy. https://doi.org/10.21125/edulearn.2023.0453 |
How to detect and influence looking up answers to political knowledge questions in web surveys.Gummer, T., Kunz, T., Rettig, T., & Höhne, J. K. (2023).How to detect and influence looking up answers to political knowledge questions in web surveys. Public Opinion Quarterly. https://doi.org/10.1093/poq/nfad027 |
Absolventenbefragung 2017. Daten- und Methodenbericht zur Erhebung der Absolvent*innenkohorte 2017.Schmidtchen, H., Euler, T., & Oestreich, T. (2023).Absolventenbefragung 2017. Daten- und Methodenbericht zur Erhebung der Absolvent*innenkohorte 2017. Hannover: FDZ-DZHW. Abstract
Die Absolventenbefragung 2017 erfolgt im Kontext der DZHW-Absolventenstudienreihe, in der anhand von standardisierten Befragungen Informationen zu Studium, Berufseintritt, Berufsverlauf und Weiterqualifizierung von Hochschulabsolvent:innen erfasst werden. Das erste Absolventenpanel wurde 1989 durchgeführt, seitdem wird jeder vierte Absolvent:innenjahrgang (Kohorte) untersucht. Die Absolventenbefragung 2017 ist das erste Verbundprojekt im Kontext der DZHW-Absolventenstudienreihe. Die Verbundpartner DZHW, INCHER und ISTAT haben das Ziel, Interessen unterschiedlicher Nutzer:innengruppen möglichst umfassend zu berücksichtigen. [...] Vollständiger Abstract: https://doi.org/10.21249/DZHW:gra2017:1.0.0 |
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