@article{AyBrysonWeckHeinzeetal.2020,
  author    = {Ay-Bryson, Destina Sevde and Weck, Florian and Heinze, Peter Eric and Lang, Thomas and K{\"u}hne, Franziska},
  title     = {Can psychotherapy trainees distinguish standardized patients from real patients?},
  series = {Zeitschrift f{\"u}r Klinische Psychologie und Psychotherapie},
  volume    = {49},
  journal   = {Zeitschrift f{\"u}r Klinische Psychologie und Psychotherapie},
  number    = {3},
  publisher = {Hogrefe},
  address   = {G{\"o}ttingen},
  issn      = {1616-3443},
  doi       = {10.1026/1616-3443/a000594},
  pages     = {182 -- 190},
  year      = {2020},
  abstract  = {Background: Under the new psychotherapy law in Germany, standardized patients (SPs) are to become a standard component inpsychotherapy training, even though little is known about their authenticity.Objective:The present pilot study explored whether, followingan exhaustive two-day SP training, psychotherapy trainees can distinguish SPs from real patients. Methods: Twenty-eight psychotherapytrainees (M= 28.54 years of age,SD= 3.19) participated as blind raters. They evaluated six video-recorded therapy segments of trained SPsand real patients using the Authenticity of Patient Demonstrations Scale. Results: The authenticity scores of real patients and SPs did notdiffer (p= .43). The descriptive results indicated that the highest score of authenticity was given to an SP. Further, the real patients did notdiffer significantly from the SPs concerning perceived impairment (p= .33) and the likelihood of being a real patient (p= .52). Conclusions: The current results suggest that psychotherapy trainees were unable to distinguish the SPs from real patients. We therefore stronglyrecommend incorporating training SPs before application. Limitations and future research directions are discussed.},
  language  = {en}
}
@article{BinTareafBergerHennigetal.2020,
  author    = {Bin Tareaf, Raad and Berger, Philipp and Hennig, Patrick and Meinel, Christoph},
  title     = {Cross-platform personality exploration system for online social networks},
  series = {Web intelligence},
  volume    = {18},
  journal   = {Web intelligence},
  number    = {1},
  publisher = {IOS Press},
  address   = {Amsterdam},
  issn      = {2405-6456},
  doi       = {10.3233/WEB-200427},
  pages     = {35 -- 51},
  year      = {2020},
  abstract  = {Social networking sites (SNS) are a rich source of latent information about individual characteristics. Crawling and analyzing this content provides a new approach for enterprises to personalize services and put forward product recommendations. In the past few years, commercial brands made a gradual appearance on social media platforms for advertisement, customers support and public relation purposes and by now it became a necessity throughout all branches. This online identity can be represented as a brand personality that reflects how a brand is perceived by its customers. We exploited recent research in text analysis and personality detection to build an automatic brand personality prediction model on top of the (Five-Factor Model) and (Linguistic Inquiry and Word Count) features extracted from publicly available benchmarks. Predictive evaluation on brands' accounts reveals that Facebook platform provides a slight advantage over Twitter platform in offering more self-disclosure for users' to express their emotions especially their demographic and psychological traits. Results also confirm the wider perspective that the same social media account carry a quite similar and comparable personality scores over different social media platforms. For evaluating our prediction results on actual brands' accounts, we crawled the Facebook API and Twitter API respectively for 100k posts from the most valuable brands' pages in the USA and we visualize exemplars of comparison results and present suggestions for future directions.},
  language  = {en}
}
@inproceedings{HaaseMatthiesenSchueffleretal.2020,
  author    = {Haase, Jennifer and Matthiesen, Julia and Sch{\"u}ffler, Arnulf and Kluge, Annette},
  title     = {Retentivity beats prior knowledge as predictor for the acquisition and adaptation of new production processes},
  series = {Proceedings of the 53rd Hawaii International Conference on System Sciences},
  volume    = {53},
  booktitle = {Proceedings of the 53rd Hawaii International Conference on System Sciences},
  publisher = {Western Periodicals Co.},
  address   = {North Hollywood, Calif.},
  doi       = {10125/64331},
  pages     = {4797 -- 4805},
  year      = {2020},
  abstract  = {In the time of digitalization the demand for organizational change is rising and demands ways to cope with fundamental changes on the organizational as well as individual level. As a basis, learning and forgetting mechanisms need to be understood in order to guide a change process efficiently and successfully. Our research aims to get a better understanding of individual differences and mechanisms in the change context by performing an experiment where individuals learn and later re-learn a complex production process using a simulation setting. The individual's performance, as well as retentivity and prior knowledge is assessed. Our results show that higher retentivity goes along with better learning and forgetting performances. Prior knowledge did not reveal such relation to the learning and forgetting performances. The influence of age and gender is discussed in detail.},
  language  = {en}
}
@article{HermannsSchmidtGlowinskietal.2020,
  author    = {Hermanns, Jolanda and Schmidt, Bernd and Glowinski, Ingrid and Keller, David},
  title     = {Online teaching in the course "organic chemistry" for nonmajor chemistry students},
  series = {Journal of chemical education},
  volume    = {97},
  journal   = {Journal of chemical education},
  number    = {9},
  publisher = {American Chemical Society},
  address   = {Washington},
  issn      = {0021-9584},
  doi       = {10.1021/acs.jchemed.0c00658},
  pages     = {3140 -- 3146},
  year      = {2020},
  abstract  = {In this communication the development of an online course on the topic organic chemistry for nonmajor chemistry students is described and discussed. For this online course, the existing classroom course was further developed. New elements such as podcasts, task navigators, and a forum for discussing the solving of tasks or problems with the content were added. This new online course was evaluated. Therefore, a questionnaire was developed. This consists of questions with regard to the longtime learning behavior of the students and to the online learning. The results of this evaluation show that a preference for online learning and a preference for classroom teaching can be measured separately in two scales. Students values on the scale representing a preference for online learning correlate positively and significantly with confidence in the choice of the study subject, enthusiasm about the subject, and the ability to organize their learning, learning environment, and time management. They correlate also with the satisfaction concerning the materials provided. Students values for one of those teaching methods also correlate with their rating with regard to their exam preparation. Values representing a preference for online teaching correlate positively with students better feeling of exam preparation. Values representing a preference for classroom teaching show negative correlations with the values representing students similar or even better preparation for the exams as a result of online teaching. It is therefore not surprising that the ratings for the two scales correlate with the wish for a combination of online teaching and classroom teaching in the future. As a solution, a new course concept for the time after the corona virus crisis that suits all students is outlined in the outlook.},
  language  = {en}
}