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A longitudinal pilot study on stress-levels in the crowdsensing mHealth platform TrackYourStress
(2019)
Background: The mobile phone app, TrackYourStress (TYS), is a new crowdsensing mobile health platform for ecological momentary assessments of perceived stress levels.
Objective: In this pilot study, we aimed to investigate the time trend of stress levels while using TYS for the entire population being studied and whether the individuals’ perceived stress reactivity moderates stress level changes while using TYS.
Methods: Using TYS, stress levels were measured repeatedly with the 4-item version of the Perceived Stress Scale (PSS-4), and perceived stress reactivity was measured once with the Perceived Stress Reactivity Scale (PSRS). A total of 78 nonclinical participants, who provided 1 PSRS assessment and at least 4 repeated PSS-4 measurements, were included in this pilot study. Linear multilevel models were used to analyze the time trend of stress levels and interactions with perceived stress reactivity.
Results: Across the whole sample, stress levels did not change while using TYS (P=.83). Except for one subscale of the PSRS, interindividual differences in perceived stress reactivity did not influence the trajectories of stress levels. However, participants with higher scores on the PSRS subscale reactivity to failure showed a stronger increase of stress levels while using TYS than participants with lower scores (P=.04).
Conclusions: TYS tracks the stress levels in daily life, and most of the results showed that stress levels do not change while using TYS. Controlled trials are necessary to evaluate whether it is specifically TYS or any other influence that worsens the stress levels of participants with higher reactivity to failure.
This paper deals with the question, to what extent, in the German context, have biblical didactic implications and systemic requirements in religious education led to social inequality in heterogeneous classrooms. Based on four different case studies in elementary, middle, and vocational schools, an empirical insight is provided that sheds exploratory and descriptive light on the construction of reality in the context of biblical learning. The analysis clearly shows that physical as well as socialization-related limitations, structural and systemic conditions in the German school system, and also strangeness and existential irrelevance, are obvious barriers that prevent students in heterogeneous settings from accessing biblical learning. In the synopsis, with theological–pedagogical implications as well as didactical challenges, it becomes clear how necessary difference-sensitive Bible didactics in the context of heterogeneity and social inequality is. Finally, based on the empirical evidence of the analyzed case studies and the theoretical framings, concrete expectations for biblical learning in religious education, in relation to heterogeneity and social inequality, are highlighted.
This paper presents the ongoing development of HAnS (Hochschul-Assistenz-System), an Intelligent Tutoring System (ITS) designed to support self-directed digital learning in higher education. Initiated by twelve collaborating German universities and research institutes, HAnS is developed 2021–2025 with the goal of utilizing artificial intelligence (AI) and Big Data in academic settings to enhance technology-based learning. The system employs AI for speech recognition and the indexing of existing learning resources, enabling users to search and compile these materials based on various parameters. Here, we provide an overview of the project, showcasing how iterative design and development processes contribute to innovative educational research in the evolving field of AI-based ITS in higher education. Notwithstanding the potential of HAnS, we also deliberate upon the challenges associated with ensuring a suitable dataset for training the AI, refining complex algorithms for personalization, and maintaining data privacy.
Corona Health
(2021)
Physical and mental well-being during the COVID-19 pandemic is typically assessed via surveys, which might make it difficult to conduct longitudinal studies and might lead to data suffering from recall bias. Ecological momentary assessment (EMA) driven smartphone apps can help alleviate such issues, allowing for in situ recordings. Implementing such an app is not trivial, necessitates strict regulatory and legal requirements, and requires short development cycles to appropriately react to abrupt changes in the pandemic. Based on an existing app framework, we developed Corona Health, an app that serves as a platform for deploying questionnaire-based studies in combination with recordings of mobile sensors. In this paper, we present the technical details of Corona Health and provide first insights into the collected data. Through collaborative efforts from experts from public health, medicine, psychology, and computer science, we released Corona Health publicly on Google Play and the Apple App Store (in July 2020) in eight languages and attracted 7290 installations so far. Currently, five studies related to physical and mental well-being are deployed and 17,241 questionnaires have been filled out. Corona Health proves to be a viable tool for conducting research related to the COVID-19 pandemic and can serve as a blueprint for future EMA-based studies. The data we collected will substantially improve our knowledge on mental and physical health states, traits and trajectories as well as its risk and protective factors over the course of the COVID-19 pandemic and its diverse prevention measures.
This work strives to develop a typological classification of the use of conscious and unconscious defense and coping mechanisms based on methodically and structurally collected data from a qualitative survey of 43 former soldiers in Germany. Seven coping and defense types were identified: the Fighter, the Comrade, the Corpsman, the Strategist, the Partisan, the Self-Protector and the Infantryman. The types identified differed with regard to the accumulation, combination, and use of their conscious and unconscious defense and coping mechanisms in the superordinate areas of behaviour, relationships, emotions, reflexivity and time focus. The typological classification could offer psychotherapeutic interventions tailored to individuals and their defense and coping mechanisms, which could lead to improved therapy use and compliance.
Employees of the public employment services (PES) are street-level bureaucrats who shape activation policy on the ground. This paper examines how PES staff use enhanced discretion in an innovation project carried out by the German Federal Employment Agency. Applying a bottom-up perspective, we reconstruct PES employees’ logic of action and the dilemmas they face in improving counselling and placement services. According to our findings, placement staff use enhanced discretion to promote more individualised support and an adequate matching of jobseekers and employers. The use of discretion is framed by organisational norms and reward mechanisms and by the current labour market situation. Our analyses are based on qualitative interviews and group discussions with placement staff.
Mobile apps are increasingly utilized to gather data for various healthcare aspects. Furthermore, mobile apps are used to administer interventions (e.g., breathing exercises)to individuals. In this context, mobile crowdsensing constitutes a technology, which is used to gather valuable medical databased on the power of the crowd and the offered computationalcapabilities of mobile devices. Notably, collecting data withmobile crowdsensing solutions has several advantages comparedto traditional assessment methods when gathering data overtime. For example, data is gathered with high ecological validity, since smartphones can be unobtrusively used in everyday life. Existing approaches have shown that based on these advantages new medical insights, for example, for the tinnitus disease, can be revealed. In the work at hand, data of a developed mHealth crowdsensing platform that assesses the stress level and fluctuations of the platform users in daily life was investigated. More specifically, data of 1797 daily measurements on GPS and stress-related data in 77 users were analyzed. Using this data source, machine learning algorithms have been applied with the goalto predict stress-related parameters based on the GPS data of the platform users. Results show that predictions become possible that (1) enable meaningful interpretations as well as (2) indicate the directions for further investigations. In essence, the findings revealed first insights into the stress situation of individuals over time in order to improve their quality of life. Altogether, the work at hand shows that mobile crowdsensing can be valuably utilized in the context of stress on one hand. On the other, machine learning algorithms are able to utilize geospatial data of stress measurements that was gathered by a crowdsensing platform with the goal to improve the quality of life of its participating crowd users.
Mobile apps are increasingly utilized to gather data for various healthcare aspects. Furthermore, mobile apps are used to administer interventions (e.g., breathing exercises) to individuals. In this context, mobile crowdsensing constitutes a technology, which is used to gather valuable medical data based on the power of the crowd and the offered computational capabilities of mobile devices. Notably, collecting data with mobile crowdsensing solutions has several advantages compared to traditional assessment methods when gathering data over time. For example, data is gathered with high ecological validity, since smartphones can be unobtrusively used in everyday life. Existing approaches have shown that based on these advantages new medical insights, for example, for the tinnitus disease, can be revealed. In the work at hand, data of a developed mHealth crowdsensing platform that assesses the stress level and fluctuations of the platform users in daily life was investigated. More specifically, data of 1797 daily measurements on GPS and stress-related data in 77 users were analyzed. Using this data source, machine learning algorithms have been applied with the goal to predict stress-related parameters based on the GPS data of the platform users. Results show that predictions become possible that (1) enable meaningful interpretations as well as (2) indicate the directions for further investigations. In essence, the findings revealed first insights into the stress situation of individuals over time in order to improve their quality of life. Altogether, the work at hand shows that mobile crowdsensing can be valuably utilized in the context of stress on one hand. On the other, machine learning algorithms are able to utilize geospatial data of stress measurements that was gathered by a crowdsensing platform with the goal to improve the quality of life of its participating crowd users.
Measuring Motivational Concepts and Personality: Aspects in the National Educational Panel Study
(2019)
Dieses Kapitel stellt die Auswahl und den Einsatz von motivationalen Konzepten und Persönlichkeitsaspekten im Nationalen Bildungspanel vor. Die Konstruktauswahl basierte dabei auf Gemeinsamkeiten gängiger Motivations- und Persönlichkeitstheorien, um dadurch Forschungsarbeiten aus verschiedenen theoretischen Perspektiven anzuregen. Aufgenommen wurden Lernmotivation und Anstrengungsbereitschaft, persönliche Ziele, allgemeine Interessenorientierungen, Sachinteresse, Selbstkonzept (allgemein und domänenspezifisch), sowie Persönlichkeitsaspekte und ausgewählte Dimensionen sozialer Kompetenzen und des Erziehungsverhaltens. Bei der Auswahl der theoretischen Konstrukte und der zu deren Erfassung einzusetzenden Testverfahren stand die Anwendbarkeit über den gesamten Lebensverlauf hinweg im Vordergrund. Innerhalb des Nationalen Bildungspanels trägt diese integrierende Zusammenstellung von motivationalen Konzepten und Persönlichkeitsaspekten zur Verbesserung des Verständnisses von Bildungsprozessen und Kompetenzentwicklung von der frühen Kindheit bis ins späte Erwachsenenalter bei.
This chapter outlines the use and measurement of motivational concepts and personality aspects in the German National Educational Panel Study (NEPS). The selection of concepts combines elements that prevalent motivation and personality theories have in common, thereby promoting research from different theoretical perspectives. The constructs measured are learning motivation and effort, personal goals and goal pursuit, general interest orientations, topic-related interests, self-concept (both general and domain-specific), personality aspects, and selected social skills and parenting behavior dimensions. These theoretical constructs and their corresponding measurements presented in this chapter were chosen on the basis of their applicability across the complete life course. Within NEPS, this integrated compilation of motivational concepts and personality aspects improves our understanding of educational processes and competence development from infancy to late adulthood.
Education institutions in European immigration societies must struggle with a lot of challenges. About one-third of the refugees are school-age children and youth. Every third child has a migration biography and many of the refugee and displaced children and youth come from Arabic countries. They bring along their various religious affiliation and culture into secular societies formerly molded by Christianity. This situation requires a lot of special accommodations for educational institutions like schools, kindergarten, and religious communities. Besides language barriers and being mindful of their traumatic experiences, educational actors need to be sensitive in particular with intercultural and interreligious conflict situations, anti-Semitic or Islamophobic positions and radicalization tendencies of cultural and/or religious identity.
The background for this topic is provided by the experiences of children and youth, who give us an insight into the clash of different religions and cultures in immigrant educational systems, into the significance of faith, the complexity of hybrid identities, but also the experience of being subaltern. That there is the importance of religious literacy for coping with the impacts of migration in educational work in schools, churches and religious communities will finally be discussed.
Serotonin immunoreactivity was previously found in myenteric neurons co-innervating motor endplates in the mouse esophagus striated muscle and aninvolvement in motility control was suggested. However, it is not known ifother neuroactive substances are present in these neurons and to what extentthey co-localize. First, vasoactive intestinal peptide (VIP) was established as abona fide marker for putative inhibitory myenteric neurons by evaluating co-localization with neuronal nitric oxide synthase (nNOS) and neuropeptide Y(NPY). Then, co-localization of serotonin and VIP was tested in co-innervatingaxons on motor endplates, which were visualized withα-bungarotoxin (α-BT)by multilabel immunofluorescence. Myenteric ganglia were also surveyed forco-localization in neuronal perikarya and varicosities. nNOS, NPY, and VIPwere completely co-localized in enteric co-innervating nerve terminals onmotor endplates. After co-staining with VIP, we found (a) serotonin (5-HT)-positive nerve endings without VIP (44% of 5-HT-positively innervated end-plates), (b) 5-HT- and VIP-positive endings without co-localization (35%), and(c) 5-HT- and VIP-positive endings with co-localization (21%). About one-fifthof nerve terminals on motor endplates containing 5-HT originate from putativeinhibitory peptidegic nitrergic neurons. However, the majority represents a different population presumably subserving different functions.
Background and teaching situation: The SARS-CoV-2 pandemic had a substantial didactic impact on medical teaching. In Erlangen, the lecture “General Practice” was offered asynchronously and digitally in an inverted-classroom concept. Contents were available via a learning platform. The lecture was presented using annotated videos, consolidation materials and control questions. A forum encouraged for discussions and feedback and collected in-depth aspects for a case-based video consultation. The aim of this work is to evaluate and critically examine the digital teaching concept during the SARS-CoV-2 pandemic.
Methodology: Two semester cohorts evaluated the lecture. Overall impression of the lecture, didactic elements, suitability and the desired future lecture format were surveyed quantitatively. Free text answers were evaluated by means of qualitative content synthesis.
Results: In terms of overall impression, the students (N=199) rated the lecture on average as “very good” (M=1.41, SD=.57). Digital methods were perceived as suitable for supporting self-study, and digital usage was rated as unproblematically (M=1.18, SD=.50). Desired future teaching formats were blended learning concepts (79.4%). Organisation, structure and content presentation were highly appreciated. The time for completing the course was perceived critically. The students urged for more practical and consolidating lecture work.
Discussion and implications: The results illustrate high acceptance of digital teaching and underline the demand for future blended learning concepts. It is particularly important to better consider the students’ time investment and practical relevance of digital self-learning mechanisms.
Employees of the public employment services (PES) are street-level bureaucrats who shape activation policy on the ground. This paper examines how PES staff use enhanced discretion in an innovation project carried out by the German Federal Employment Agency. Applying a bottom-up perspective, we reconstruct PES employees’ logic of action and the dilemmas they face in improving counselling and placement services. According to our findings, placement staff use enhanced discretion to promote more individualised support and an adequate matching of jobseekers and employers. The use of discretion is framed by organisational norms and reward mechanisms and by the current labour market situation. Our analyses are based on qualitative interviews and group discussions with placement staff.
Following Michael Lipsky's well‐known argument that policy is made in the daily encounters between street‐level bureaucracy and citizens, a growing body of research emphasizes that actors and organizations delivering social and labor‐market policy play a crucial role in welfare‐state politics. Using qualitative data collected at three local employment agencies in Germany, this article explores worker‐client relations as a crucial mechanism through which activation policies are translated into practice. The analysis investigates how caseworkers define their role and their relationships with clients. The findings show that it is essential for caseworkers to achieve client compliance. In such a context, building relationships of trust is a strategic instrument in overcoming possible barriers to co‐operation in the caseworker‐client interaction. Caseworkers develop strategies to create the impression of trustworthiness and to motivate both unemployed clients and employers to become trust‐givers in the caseworker‐client relation. While research has often stressed the dichotomy between disciplining and enabling elements of activation policies, our explorative study shows that persuasion and trust‐building are a further important dimension of the frontline delivery of activation policies. These strategies reflect the importance of emotional aspects of frontline work.
Individuals decide to use healthcare when the expected benefits outweigh the perceived costs. One of these cost factors in this decision can be stigma. So far, it has not been researched how former soldiers of the German Armed Forces with a service-induced mental illness perceive stigma and how it influences their healthcare use. As stigma is shaped by the socio-cultural context, the setting of the potential healthcare use must be considered. Narrative interviews were conducted with 33 former soldiers with mental health problems. The data were analyzed using a thematic analysis approach, in which codes were formed and emerging themes were systemized. The relationship between stigma and healthcare use was analyzed. Occupational discrimination and social exclusion were experienced in both in the military and civilian context, but stigma functioned differently in each context. In the military context, former soldiers’ self-stigma of mentally ill individuals being weak was in stark contrast to their internalized military standards. This contrast let them avoid disclosure and subsequent healthcare use. In civilian context, the participants perceived 2 different stigma costs: mental illness stigma and former soldier stigma (i.e., stigmatization because of their military past). Both were perceived as barriers to healthcare use. A model, illustrating these different stigma costs in the different contexts, was developed. Further research on the link between stigma and healthcare use of this group is urgently needed.
Introduction: In emergency care, geriatric requirements and risks are often not taken sufficiently into account. In addition, there are neither evidence-based recommendations nor scientifically developed quality indicators (QI) for geriatric emergency care in German emergency departments. As part of the GeriQ-ED© research project, quality indicators for geriatric emergency medicine in Germany have been developed using the QUALIFY-instruments. Methods: Using a triangulation methodology, a) clinical experience-based quality aspects were identified and verified, b) research-based quality statements were formulated and assessed for relevance, and c) preliminary quality indicators were operationalized and evaluated in order to recommend a feasible set of final quality indicators. Results: Initially, 41 quality statements were identified and assessed as relevant. Sixty-seven QI (33 process, 29 structure and 5 outcome indicators) were extrapolated and operationalised. In order to facilitate implementation into daily practice, the following five quality statements were defined as the GeriQ-ED© TOP 5: screening for delirium, taking a full medications history including an assessment of the indications, education of geriatric knowledge and skills to emergency staff, screening for patients with geriatric needs, and identification of patients with risk of falls/ recurrent falls. Discussion: QIs are regarded as gold standard to measure, benchmark and improve emergency care. GeriQ-ED© QI focused on clinical experience- and research-based recommendations and describe for the first time a standard for geriatric emergency care in Germany. GeriQ-ED© TOP 5 should be implemented as a minimum standard in geriatric emergency care.