TY - JOUR A1 - Glugla, Markus A1 - Schulz, Ralf Kiran T1 - Generated-X LMS (GXLMS) BT - A modified LMS Algorithm without external reference signal JF - Proceedings of the 27th International Congress on Sound and Vibration N2 - The quality of the reference signal is essential for the adaptation process of an LMS or one of its derivatives. The reference signal affects the stability, the convergence rate and the maximum achievable attenuation. Since the error signal and the control signal are available as numerical values in the algorithm for the LMS, the reference signal can be calculated from both signals. The error signal is the interference between the control signal and the reference signal. This interference of the control signal and the reference signal can be noted mathematically as a simple addition. It is therefore possible to deduce the reference signal from a known error signal and control signal. This approach is the basis of the generated-x LMS (GxLMS) developed by us. It calculates the reference signal itself without having to rely on an externally supplied reference signal. The advantages of the GxLMS are primarily in fields where the reference signal is difficult or impossible to detect. For example, the detection of the reference signal can be problematic due to design reasons or measurement technology. For example, flow noise could have a negative effect on an acoustic detection of the reference signal. However, the calculation of the reference signal in the GxLMS represents a further feedback signal path, which affects the stability of the algorithm as a whole. Based on the theoretical principles mathematically sufficient convergence conditions can be formulated taking into account the delays existing in the signal paths. The experimental testing took place on an acoustic duct with monofrequency disturb signals. Since the use of an efficient design of experiments (DoE) could be excluded, the measurement was designed as parameter variation (one factor at time) and therefore very time-consuming. The theoretical background of the GxLMS as well as the results from the experiments are presented. KW - LMS without reference signal KW - GxLMS algorithm KW - Active noise control KW - Convergence Y1 - 2021 UR - https://iiav.org/content/archives_icsv_last/2021_icsv27/content/papers/papers/full_paper_524_20210503203519677.pdf SN - 978-83-7880-799-5 SP - 1 EP - 8 PB - Silesian University Press CY - Prague ER - TY - JOUR A1 - Richter, Eric A1 - Kunter, Mareike A1 - Marx, Alexandra A1 - Richter, Dirk T1 - Who participates in content-focused teacher professional development? BT - Evidence from a large scale study JF - Frontiers in education N2 - This study investigates the relationship between teacher quality and teachers’ engagement in professional development (PD) activities using data on 229 German secondary school mathematics teachers. We assessed different aspects of teacher quality (e.g. professional knowledge, instructional quality) using a variety of measures, including standardised tests of teachers’ content knowledge, to determine what characteristics are associated with high participation in PD. The results show that teachers with higher scores for teacher quality variables take part in more content-focused PD than teachers with lower scores for these variables. This suggests that teacher learning may be subject to a Matthew effect, whereby more proficient teachers benefit more from PD than less proficient teachers. KW - teacher learning KW - professional development KW - content knowledge KW - teacher quality KW - in-service training KW - Matthew effect KW - continuing education activities Y1 - 2021 U6 - https://doi.org/10.3389/feduc.2021.722169 SN - 2504-284X IS - 6 SP - 1 EP - 10 PB - Frontiers Media CY - Lausanne, Schweiz ER - TY - JOUR A1 - Haase, Jennifer A1 - Hanel, Paul H. P. T1 - Priming creativity: Doing math reduces creativity and happiness whereas playing short online games enhance them JF - Frontiers in Education N2 - Creative thinking is an indispensable cognitive skill that is becoming increasingly important. In the present research, we tested the impact of games on creativity and emotions in a between-subject online experiment with four conditions (N = 658). (1) participants played a simple puzzle game that allowed many solutions (priming divergent thinking); (2) participants played a short game that required one fitting solution (priming convergent thinking); (3) participants performed mental arithmetic; (4) passive control condition. Results show that divergent and convergent creativity were higher after playing games and lower after mental arithmetic. Positive emotions did not function as a mediator, even though they were also heightened after playing the games and lower after mental arithmetic. However, contrary to previous research, we found no direct effect of emotions, creative self-efficacy, and growth- vs. fixed on creative performance. We discuss practical implications for digital learning and application settings. KW - creativity KW - priming KW - enhancement KW - math KW - games KW - happiness Y1 - 2022 U6 - https://doi.org/10.3389/feduc.2022.976459 SN - 2504-284X PB - Frontiers CY - Lausanne, Schweiz ER - TY - JOUR A1 - Mientus, Lukas A1 - Hume, Anne A1 - Wulff, Peter A1 - Meiners, Antoinette A1 - Borowski, Andreas T1 - Modelling STEM teachers’ pedagogical content knowledge in the framework of the refined consensus model BT - A systematic literature review JF - Education Sciences : open access journal N2 - Science education researchers have developed a refined understanding of the structure of science teachers’ pedagogical content knowledge (PCK), but how to develop applicable and situation-adequate PCK remains largely unclear. A potential problem lies in the diverse conceptualisations of the PCK used in PCK research. This study sought to systematize existing science education research on PCK through the lens of the recently proposed refined consensus model (RCM) of PCK. In this review, the studies’ approaches to investigating PCK and selected findings were characterised and synthesised as an overview comparing research before and after the publication of the RCM. We found that the studies largely employed a qualitative case-study methodology that included specific PCK models and tools. However, in recent years, the studies focused increasingly on quantitative aspects. Furthermore, results of the reviewed studies can mostly be integrated into the RCM. We argue that the RCM can function as a meaningful theoretical lens for conceptualizing links between teaching practice and PCK development by proposing pedagogical reasoning as a mechanism and/or explanation for PCK development in the context of teaching practice. KW - pedagogical content knowledge (PCK) KW - refined consensus model (RCM) KW - pedagogical reasoning KW - teaching practice KW - science teaching KW - literature review Y1 - 2022 U6 - https://doi.org/10.3390/educsci12060385 SN - 2227-7102 VL - 12 SP - 1 EP - 25 PB - MDPI CY - Basel, Schweiz ET - 6 ER - TY - JOUR A1 - Dragičević, Nikolina A1 - Vladova, Gergana A1 - Ullrich, André T1 - Design thinking capabilities in the digital world BT - A bibliometric analysis of emerging trends JF - Frontiers in Education N2 - Recent research suggests that design thinking practices may foster the development of needed capabilities in new digitalised landscapes. However, existing publications represent individual contributions, and we lack a holistic understanding of the value of design thinking in a digital world. No review, to date, has offered a holistic retrospection of this research. In response, in this bibliometric review, we aim to shed light on the intellectual structure of multidisciplinary design thinking literature related to capabilities relevant to the digital world in higher education and business settings, highlight current trends and suggest further studies to advance theoretical and empirical underpinnings. Our study addresses this aim using bibliometric methods—bibliographic coupling and co-word analysis as they are particularly suitable for identifying current trends and future research priorities at the forefront of the research. Overall, bibliometric analyses of the publications dealing with the related topics published in the last 10 years (extracted from the Web of Science database) expose six trends and two possible future research developments highlighting the expanding scope of the design thinking scientific field related to capabilities required for the (more sustainable and human-centric) digital world. Relatedly, design thinking becomes a relevant approach to be included in higher education curricula and human resources training to prepare students and workers for the changing work demands. This paper is well-suited for education and business practitioners seeking to embed design thinking capabilities in their curricula and for design thinking and other scholars wanting to understand the field and possible directions for future research. KW - design thinking KW - digital technologies KW - digital transformation KW - capabilities KW - skills Y1 - 2023 U6 - https://doi.org/10.3389/feduc.2022.1012478 SN - 2504-284X VL - 7 PB - Frontiers CY - Lausanne, Schweiz ER - TY - JOUR A1 - Wilbert, Jürgen A1 - Börnert-Ringleb, Moritz A1 - Lüke, Timo T1 - Statistical Power of Piecewise Regression Analyses of Single-Case Experimental Studies Addressing Behavior Problems JF - Frontiers in Education N2 - In intervention research, single-case experimental designs are an important way to gain insights into the causes of individual changes that yield high internal validity. They are commonly applied to examine the effectiveness of classroom-based interventions to reduce problem behavior in schools. At the same time, there is no consensus on good design characteristics of single-case experimental designs when dealing with behavioral problems in schools. Moreover, specific challenges arise concerning appropriate approaches to analyzing behavioral data. Our study addresses the interplay between the test power of piecewise regression analysis and important design specifications of single-case research designs. Here, we focus on the influence of the following specifications of single-case research designs: number of measurement times, the initial frequency of the behavior, intervention effect, and data trend. We conducted a Monte-Carlo study. First, simulated datasets were created with specific design conditions based on reviews of published single-case intervention studies. Following, data were analyzed using piecewise Poisson-regression models, and the influence of specific design specifications on the test power was investigated. Our results indicate that piecewise regressions have a high potential of adequately identifying the effects of interventions for single-case studies. At the same time, test power is strongly related to the specific design specifications of the single-case study: Few measurement times, especially in phase A, and low initial frequencies of the behavior make it impossible to detect even large intervention effects. Research designs with a high number of measurement times show robust power. The insights gained are highly relevant for researchers in the field, as decisions during the early stage of conceptualizing and planning single-case experimental design studies may impact the chance to identify an existing intervention effect during the research process correctly. KW - single-case design KW - single case analysis KW - Monte-Carlo simulation KW - behavior problems KW - special education KW - research design KW - single-case experimental design Y1 - 2022 U6 - https://doi.org/10.3389/feduc.2022.917944 SN - 2504-284X VL - 7 SP - 1 EP - 13 PB - Frontiers Media CY - Lausanne, Schweiz ER -