TY - JOUR A1 - Horn, Peter A1 - Fritzsche, Tom A1 - Ehlert, Antje A1 - Adani, Flavia T1 - Tapping into the interplay of lexical and number knowledge using fast mapping BT - a longitudinal eye-tracking study with two-year-olds JF - Infant behavior & development : an international and interdisciplinary journal N2 - Language skills and mathematical competencies are argued to influence each other during development. While a relation between the development of vocabulary size and mathematical skills is already documented in the literature, this study further examines how children's ability to map a novel word to an unknown object as well as their ability to retain this word from memory may be related to their knowledge of number words. Twenty-five children were tested longitudinally (at 30 and at 36 months of age) using an eye-tracking-based fast mapping task, the Give-a Number task, and standardized measures of vocabulary. The results reveal that children's ability to create and retain a mental representation of a novel word was related to number knowledge at 30 months, but not at 36 months while vocabulary size correlated with number knowledge only at 36 months. These results show that even specific mapping processes are initially related to the acquisition of number words and they speak for a parallelism between the development of lexical and number-concept knowledge despite their semantic and syntactic differences. KW - Number KW - Number knowledge KW - Cognitive development KW - Fast mapping KW - Word KW - learning KW - Cross-domain development Y1 - 2021 U6 - https://doi.org/10.1016/j.infbeh.2021.101573 SN - 0163-6383 SN - 1879-0453 VL - 64 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Kühl, Tim A1 - Fehringer, Benedict C. O. F. A1 - Münzer, Stefan T1 - Unifying the ability-as-compensator and ability-as-enhancer hypotheses JF - Educational psychology review N2 - Spatial abilities have been found to interact with the design of visualizations in educational materials in different forms: (1) spatial abilities enhanced learning with optimized visual design (ability-as-enhancer) or (2) spatial abilities compensated for suboptimal visual design (ability-as-compensator). A brief review of pertinent studies suggests that these two forms are viewed as mutually exclusive. We propose a novel unifying conceptualization. This conceptualization suggests that the ability-as enhancer interaction will be found in the low-medium range of a broad ability continuum whereas the ability-as-compensator interaction will be found in the medium-high range. The largest difference in learning outcomes between visual design variations is expected for medium ability. A corresponding analytical approach is suggested that includes nonlinear quadratic interactions. The unifying conceptualization was confirmed in an experiment with a consistent visual-spatial task. In addition, the conceptualization was investigated with a reanalysis of pooled data from four multimedia learning experiments. Consistent with the conceptualization, quadratic interactions were found, meaning that interactions depended on ability range. The largest difference between visual design variations was obtained for medium ability, as expected. It is concluded that the unifying conceptualization is a useful theoretical and methodological approach to analyze and interpret aptitude-treatment interactions that go beyond linear interactions. KW - Aptitude-treatment-interaction KW - Ability-as-enhancer KW - Ability-as-compensator KW - Spatial ability KW - Visual design KW - Multimedia KW - learning Y1 - 2022 U6 - https://doi.org/10.1007/s10648-021-09650-5 SN - 1040-726X SN - 1573-336X VL - 34 IS - 2 SP - 1063 EP - 1095 PB - Springer CY - New York ER - TY - CHAP A1 - Thim, Christof A1 - Grum, Marcus A1 - Schüffler, Arnulf A1 - Roling, Wiebke A1 - Kluge, Annette A1 - Gronau, Norbert ED - Andersen, Ann-Louise ED - Andersen, Rasmus ED - Brunoe, Thomas Ditlev ED - Larsen, Maria Stoettrup Schioenning ED - Nielsen, Kjeld ED - Napoleone, Alessia ED - Kjeldgaard, Stefan T1 - A concept for a distributed Interchangeable knowledge base in CPPS T2 - Towards sustainable customization: cridging smart products and manufacturing systems N2 - As AI technology is increasingly used in production systems, different approaches have emerged from highly decentralized small-scale AI at the edge level to centralized, cloud-based services used for higher-order optimizations. Each direction has disadvantages ranging from the lack of computational power at the edge level to the reliance on stable network connections with the centralized approach. Thus, a hybrid approach with centralized and decentralized components that possess specific abilities and interact is preferred. However, the distribution of AI capabilities leads to problems in self-adapting learning systems, as knowledgebases can diverge when no central coordination is present. Edge components will specialize in distinctive patterns (overlearn), which hampers their adaptability for different cases. Therefore, this paper aims to present a concept for a distributed interchangeable knowledge base in CPPS. The approach is based on various AI components and concepts for each participating node. A service-oriented infrastructure allows a decentralized, loosely coupled architecture of the CPPS. By exchanging knowledge bases between nodes, the overall system should become more adaptive, as each node can “forget” their present specialization. KW - learning KW - distributed knowledge base KW - artificial intelligence KW - CPPS Y1 - 2021 SN - 978-3-030-90699-3 SN - 978-3-030-90702-0 SN - 978-3-030-90700-6 U6 - https://doi.org/10.1007/978-3-030-90700-6_35 SP - 314 EP - 321 PB - Springer CY - Cham ER - TY - JOUR A1 - Ay-Bryson, Destina Sevde A1 - Weck, Florian A1 - Heinze, Peter Eric A1 - Lang, Thomas A1 - Kühne, Franziska T1 - Can psychotherapy trainees distinguish standardized patients from real patients? T1 - Können Psychotherapeut*innen in Ausbildung standardisierte Patient*innen von realen Patient*innen unterscheiden? BT - a pilot study BT - Ergebnisse einer Pilotstudie JF - Zeitschrift für Klinische Psychologie und Psychotherapie N2 - 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. N2 - Theoretischer Hintergrund: Mit dem neu eingeführten Direktstudium für zukünftige Psychotherapeut_innen (PiA) wirdder Einsatz von standardisierten Patient_innen (SP) in der Lehre zunehmen, obwohl die Authentizität der Rollendarstellungen durch SPempirisch bislang kaum untersucht wurde. Ziel der vorliegenden Studie war es daher zu untersuchen, ob SP trainiert werden können, dassPsychotherapeut_innen in Ausbildung (PiA) SP von realen Patient_innen nicht unterscheiden können. Methode: Insgesamt nahmen 28 PiA(M= 28.54 Jahre,SD= 3.19) als verblindete Rater teil. Sie haben sechs Therapiesitzungen von trainierten SP und realen Patient_innen mitder Skala Authentizität von Patientendarstellungen bewertet. Ergebnisse: Die Authentizitätswerte von SP unterschieden sich nicht signifi-kant von realen Patient_innen (p= .43). Deskriptive Ergebnisse legen nahe, dass ein SP im Schnitt am authentischsten bewertet wurde.Darüber hinaus unterschieden sich SP und reale Patient_innen nicht hinsichtlich der wahrgenommenen Beeinträchtigung (p= .33) sowie derWahrscheinlichkeit, als reale/r Patient_in bewertet zu werden (p= .52). Fazit: Die vorliegenden Ergebnisse legen nahe, dass PiA SP vonrealen Patient_innen nicht unterscheiden konnten. Daher legen wir ein ausführliches Training der SP nahe, bevor sie für Studium und Lehreeingesetzt werden. Die Limitationen sowie zukünftige Forschungsideen werden diskutiert. KW - evidence-based training KW - learning KW - simulated patients KW - simulation-based KW - education KW - therapist competence KW - evidenzbasiertes Training KW - Lernen KW - Simulationspatient_innen KW - simulationsbasierte Lehre KW - therapeutische KW - Kompetenz Y1 - 2020 U6 - https://doi.org/10.1026/1616-3443/a000594 SN - 1616-3443 SN - 2190-6297 VL - 49 IS - 3 SP - 182 EP - 190 PB - Hogrefe CY - Göttingen ER - TY - JOUR A1 - Hermanns, Jolanda A1 - Schmidt, Bernd A1 - Glowinski, Ingrid A1 - Keller, David T1 - Online teaching in the course "organic chemistry" for nonmajor chemistry students BT - from necessity to opportunity JF - Journal of chemical education N2 - 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. KW - first-year undergraduate/general KW - organic chenlistry KW - computer-based KW - learning KW - distance learning/self instruction Y1 - 2020 U6 - https://doi.org/10.1021/acs.jchemed.0c00658 SN - 0021-9584 SN - 1938-1328 VL - 97 IS - 9 SP - 3140 EP - 3146 PB - American Chemical Society CY - Washington ER - TY - JOUR A1 - Chromik, Jonas A1 - Pirl, Lukas A1 - Beilharz, Jossekin Jakob A1 - Arnrich, Bert A1 - Polze, Andreas T1 - Certainty in QRS detection with artificial neural networks JF - Biomedical signal processing and control N2 - Detection of the QRS complex is a long-standing topic in the context of electrocardiography and many algorithms build upon the knowledge of the QRS positions. Although the first solutions to this problem were proposed in the 1970s and 1980s, there is still potential for improvements. Advancements in neural network technology made in recent years also lead to the emergence of enhanced QRS detectors based on artificial neural networks. In this work, we propose a method for assessing the certainty that is in each of the detected QRS complexes, i.e. how confident the QRS detector is that there is, in fact, a QRS complex in the position where it was detected. We further show how this metric can be utilised to distinguish correctly detected QRS complexes from false detections. KW - QRS detection KW - Electrocardiography KW - Artificial neural networks KW - Machine KW - learning KW - Signal-to-noise ratio Y1 - 2021 U6 - https://doi.org/10.1016/j.bspc.2021.102628 SN - 1746-8094 SN - 1746-8108 VL - 68 PB - Elsevier CY - Oxford ER - TY - JOUR A1 - Seleem, Omar A1 - Ayzel, Georgy A1 - Costa Tomaz de Souza, Arthur A1 - Bronstert, Axel A1 - Heistermann, Maik T1 - Towards urban flood susceptibility mapping using data-driven models in Berlin, Germany JF - Geomatics, natural hazards and risk N2 - Identifying urban pluvial flood-prone areas is necessary but the application of two-dimensional hydrodynamic models is limited to small areas. Data-driven models have been showing their ability to map flood susceptibility but their application in urban pluvial flooding is still rare. A flood inventory (4333 flooded locations) and 11 factors which potentially indicate an increased hazard for pluvial flooding were used to implement convolutional neural network (CNN), artificial neural network (ANN), random forest (RF) and support vector machine (SVM) to: (1) Map flood susceptibility in Berlin at 30, 10, 5, and 2 m spatial resolutions. (2) Evaluate the trained models' transferability in space. (3) Estimate the most useful factors for flood susceptibility mapping. The models' performance was validated using the Kappa, and the area under the receiver operating characteristic curve (AUC). The results indicated that all models perform very well (minimum AUC = 0.87 for the testing dataset). The RF models outperformed all other models at all spatial resolutions and the RF model at 2 m spatial resolution was superior for the present flood inventory and predictor variables. The majority of the models had a moderate performance for predictions outside the training area based on Kappa evaluation (minimum AUC = 0.8). Aspect and altitude were the most influencing factors on the image-based and point-based models respectively. Data-driven models can be a reliable tool for urban pluvial flood susceptibility mapping wherever a reliable flood inventory is available. KW - Urban pluvial flood susceptibility KW - convolutional neural network KW - deep KW - learning KW - random forest KW - support vector machine KW - spatial resolution; KW - flood predictors Y1 - 2022 U6 - https://doi.org/10.1080/19475705.2022.2097131 SN - 1947-5705 SN - 1947-5713 VL - 13 IS - 1 SP - 1640 EP - 1662 PB - Taylor & Francis CY - London ER - TY - CHAP A1 - Apelojg, Benjamin T1 - Teachers do not make mistakes? BT - two exploratives case studies ; Relationships between biographical aspects, thinking, behavioral patterns and experiences in classes ; First results of a qualitative study on the aspect of dealing with mistakes T2 - ATLAS.ti User Conference 2015 N2 - This article provides some insights into the complex relationships between thinking and behavioral patterns, bio­ graphical aspects and teaching style. The data was analyzed in the Grounded Theory tradition and with the help of ATLAS.ti. The results presented here offer preliminary findings only since the research is still ongoing. The focus is on the ways teachers deal with mistakes. Based on two case examples, it will be shown how the fear of making mistakes can lead to teacher-centered lessons, and thereby limiting pupils' possibilities to learn autonomously. KW - Umgang mit Fehlern KW - Didaktik KW - persönliche Entwicklung KW - Lernen KW - Auswirkungen auf Schüler KW - Dealing with mistakes KW - personal development KW - learning KW - teaching KW - effects on pupils KW - ATLAS.t Y1 - 2016 SN - 978-3-7983-2822-8 U6 - https://doi.org/10.14279/depositonce-5159 SP - 1 EP - 9 PB - Universitätsverlag der TU-Berlin CY - Berlin ER - TY - JOUR A1 - Bin Tareaf, Raad A1 - Berger, Philipp A1 - Hennig, Patrick A1 - Meinel, Christoph T1 - Cross-platform personality exploration system for online social networks BT - Facebook vs. Twitter JF - Web intelligence N2 - 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. KW - Big Five model KW - personality prediction KW - brand personality KW - machine KW - learning KW - social media analysis Y1 - 2020 U6 - https://doi.org/10.3233/WEB-200427 SN - 2405-6456 SN - 2405-6464 VL - 18 IS - 1 SP - 35 EP - 51 PB - IOS Press CY - Amsterdam ER - TY - CHAP A1 - Haase, Jennifer A1 - Matthiesen, Julia A1 - Schüffler, Arnulf A1 - Kluge, Annette T1 - Retentivity beats prior knowledge as predictor for the acquisition and adaptation of new production processes T2 - Proceedings of the 53rd Hawaii International Conference on System Sciences N2 - 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. KW - Innovation in Organizations: Learning KW - learning KW - Unlearning KW - Intentional Forgetting KW - experiment KW - forgetting KW - prior knowledge KW - production process KW - retentivity Y1 - 2020 U6 - https://doi.org/10125/64331 VL - 53 SP - 4797 EP - 4805 PB - Western Periodicals Co. CY - North Hollywood, Calif. ER -