Educational institutions in higher education encounter different thresholds when scaling up to institution-wide learning analytics. This doctoral research focuses on designing a model of capabilities that institutions need to develop in order to remove these barriers and thus maximise the benefits of learning analytics.
DOCUMENT
Longitudinal criminological studies greatly improved our understanding of the longitudinal patterns of criminality. These studies, however, focused almost exclusively on traditional types of offending and it is therefore unclear whether results are generalizable to online types of offending. This study attempted to identify the developmental trajectories of active hackers who perform web defacements. The data for this study consisted of 2,745,311 attacks performed by 66,553 hackers and reported to Zone-H between January 2010 and March 2017. Semi-parametric group-based trajectory models were used to distinguish six different groups of hackers based on the timing and frequency of their defacements. The results demonstrated some common relationships to traditional types of crime, as a small population of defacers accounted for the majority of defacements against websites. Additionally, the methods and targeting practices of defacers differed based on the frequency with which they performed defacements generally.
DOCUMENT
Physical activity is crucial in human life, whether in everyday activities or elite sports. It is important to maintain or improve physical performance, which depends on various factors such as the amount of physical activity, the capability, and the capacity of the individual. In daily life, it is significant to be physically active to maintain good health, intense exercise is not necessary, as simple daily activities contribute enough. In sports, it is essential to balance capacity, workload, and recovery to prevent performance decline or injury.With the introduction of wearable technology, it has become easier to monitor and analyse physical activity and performance data in daily life and sports. However, extracting personalised insights and predictions from the vast and complex data available is still a challenge.The study identified four main problems in data analytics related to physical activity and performance: limited personalised prediction due to data constraints, vast data complexity, need for sensitive performance measures, overly simplified models, and missing influential variables. We proposed end investigated potential solutions for each issue. These solutions involve leveraging personalised data from wearables, combining sensitive performance measures with various machine learning algorithms, incorporating causal modelling, and addressing the absence of influential variables in the data.Personalised data, machine learning, sensitive performance measures, advanced statistics, and causal modelling can help bridge the data analytics gap in understanding physical activity and performance. The research findings pave the way for more informed interventions and provide a foundation for future studies to further reduce this gap.
LINK
Op basis waarvan worden in je organisatie HR-beslissingen genomen? Op basis van eigen cijfers of van best practices bij andere organisaties? Op basis van gefundeerde argumenten, of eenvoudigweg door hoger management, waarbij je je eigen organisatie-expertise aan de kant zet? Beslisculturen in organisaties kunnen heel fact free of meer evidence-based zijn. In een fact-freecultuur heeft HR Analytics als zevende zintuig geen schijn van kans. Cijfers kunnen als moeilijkdoenerij worden gezien of zelfs een bedreiging vormen voor stakeholders die cijfers enkel beschouwen als een middel om af te rekenen met het bestaande beleid. Of cijfers zijn een ritueel geworden: niemand vraagt zich meer af wat ze eigenlijk betekenen. In een evidence-basedcultuur worden belangrijke beslismomenten serieus genomen. Op die momenten is er de kans om de kwaliteit van de beslissing te verrijken met analytische inzichten – naast informatie die andere zintuigen kunnen aanleveren. HR Analytics kan hier haar meerwaarde doen gelden. Maar de HR Analyticspraktijk is weerbarstig. Zelfs als het belang en de uitvoering van HR Analytics goed ingebed zijn, betekent dat niet automatisch dat analytische inzichten de HR-beleidsvoering altijd bereiken en invloed uitoefenen.
DOCUMENT
In hoofdstuk 1 wordt ingegaan op de aanleiding voor de literatuurstudie, de keuze voor OWO en doel, onderzoeksvragen en verantwoording van de literatuurstudie. Hoofdstuk 2 schetst een beeld van gebiedsgebonden politiewerk en gaat in op de rol en samenstelling van basisteams (onderzoeksvragen 1 en 2). Hoofdstuk 3 gaat in op het begrip digitalisering, beschrijft de digitalisering van gebiedsgebonden politiewerk en inventariseert knelpunten (onderzoeksvraag 3). In hoofdstuk 4 wordt het begrip ‘digitale handelingsbekwaamheid’ verkent, de betekenis van digitale handelingsbekwaamheid voor het GGP wordt in kaart gebracht en in verband gebracht met leerstijlen binnen organisaties. Ook worden de knelpunten ten aanzien van digitale handelingsbekwaamheid geïnventariseerd (onderzoeksvraag 4). In hoofdstuk 5 worden relevante theorieën over het de gebruik en de acceptatie van digitale technologieën, veranderingsbereid en leertheorieën besproken (onderzoeksvraag 5). In hoofdstuk 6 ten slotte wordt het conceptueel model gepresenteerd en verantwoord. Het conceptueel model dient als basis voor het op te stellen Programma van Eisen.
DOCUMENT
In the literature about web survey methodology, significant e orts have been made to understand the role of time-invariant factors (e.g. gender, education and marital status) in (non-)response mechanisms. Time-invariant factors alone, however, cannot account for most variations in (non-)responses, especially fluctuations of response rates over time. This observation inspires us to investigate the counterpart of time-invariant factors, namely time-varying factors and the potential role they play in web survey (non-)response. Specifically, we study the effects of time, weather and societal trends (derived from Google Trends data) on the daily (non-)response patterns of the 2016 and 2017 Dutch Health Surveys. Using discrete-time survival analysis, we find, among others, that weekends, holidays, pleasant weather, disease outbreaks and terrorism salience are associated with fewer responses. Furthermore, we show that using these variables alone achieves satisfactory prediction accuracy of both daily and cumulative response rates when the trained model is applied to future unseen data. This approach has the further benefit of requiring only non-personal contextual information and thus involving no privacy issues. We discuss the implications of the study for survey research and data collection.
DOCUMENT
Patients with cardiovascular risk factors can reduce their risk of cardiovascular disease by increasing their physical activity and their physical fitness. According to the guidelines for cardiovascular risk management, health professionals should encourage their patients to engage in physical activity. In this paper, we provide insight regarding the systematic development of a Web-based intervention for both health professionals and patients with cardiovascular risk factors using the development method Intervention Mapping. The different steps of Intervention Mapping are described to open up the “black box” of Web-based intervention development and to support future Web-based intervention development.
LINK
Recent advancements in mobile sensing and wearable technologies create new opportunities to improve our understanding of how people experience their environment. This understanding can inform urban design decisions. Currently, an important urban design issue is the adaptation of infrastructure to increasing cycle and e-bike use. Using data collected from 12 cyclists on a cycle highway between two municipalities in The Netherlands, we coupled location and wearable emotion data at a high spatiotemporal resolution to model and examine relationships between cyclists' emotional arousal (operationalized as skin conductance responses) and visual stimuli from the environment (operationalized as extent of visible land cover type). We specifically took a within-participants multilevel modeling approach to determine relationships between different types of viewable land cover area and emotional arousal, while controlling for speed, direction, distance to roads, and directional change. Surprisingly, our model suggests ride segments with views of larger natural, recreational, agricultural, and forested areas were more emotionally arousing for participants. Conversely, segments with views of larger developed areas were less arousing. The presented methodological framework, spatial-emotional analyses, and findings from multilevel modeling provide new opportunities for spatial, data-driven approaches to portable sensing and urban planning research. Furthermore, our findings have implications for design of infrastructure to optimize cycling experiences.
MULTIFILE
At present, persons with dementia and their family caregivers in the Netherlands are not adequately supported to modify their dwellings to match their personal needs. To facilitate aging-in-place for persons with dementia, a website was designed. The website was designed with persons with dementia and their spouses. In consultation sessions existing websites were discussed. Based on this discussion, a demonstration website was created and then discussed with and judged by the participants. Visits to the website were monitored using Google Analytics.
DOCUMENT
Objective This scoping review aims to identify complex health interventions (CHI’s) to prevent early childhood caries (ECC), explore the level of complexity of the identified CHI’s, and explore the details of their development, evaluation, and implementation. Introduction Many interventions to prevent ECC have multiple interacting components and can be seen as CHI’s. Recent reviews on these interventions have found inconclusive effects, which may be due to differences in the development, evaluation, and implementation of CHI’s. Inclusion criteria This scoping review will consider clinical trials reporting CHI’s to prevent ECC that starts during pregnancy or in the first year of life. Studies in the English language will be included regardless of the country of origin, sociocultural setting, or context. Methods This review will follow the Joanna Briggs Institute methodology for scoping reviews. An initial search of PubMed identified keywords and Medical Subject Headings terms. A second search of PubMed, Embase, Clarivate Analytics/Web of Science Core Collection, ClinicalTrials.gov, and the Wiley/Cochrane Library will follow. Two independent reviewers will perform title and abstract screening, retrieve and review full-text studies, and extract data. The reference lists of all included sources will be screened for additional CHI’s or relevant publications about a specific CHI. Data charting will be utilised based on study characteristics and intervention complexity. A 39-item instrument will be used to explore the details in the description of the CHI’s development, evaluation, and implementation. The results will be presented in tables, visual outputs, and a narrative summary in response to the review questions. Discussion The proposed review will generate evidence which may provide a direction for the future design of studies on CHI’s to prevent ECC and more complete information for those who want to adopt successful interventions to prevent ECC.
LINK
