Het platform voor open praktijkgericht onderzoek

product

A Capability Model for Learning Analytics Adoption

Despite the promises of learning analytics and the existence of several learning analytics implementation frameworks, the large-scale adoption of learning analytics within higher educational institutions remains low. Extant frameworks either focus on a specific element of learning analytics implementation, for example, policy or privacy, or lack operationalization of the organizational capabilities necessary for successful deployment. Therefore, this literature review addresses the research question “What capabilities for the successful adoption of learning analytics can be identified in existing literature on big data analytics, business analytics, and learning analytics?” Our research is grounded in resource-based view theory and we extend the scope beyond the field of learning analytics and include capability frameworks for the more mature research fields of big data analytics and business analytics. This paper’s contribution is twofold: 1) it provides a literature review on known capabilities for big data analytics, business analytics, and learning analytics and 2) it introduces a capability model to support the implementation and uptake of learning analytics. During our study, we identified and analyzed 15 key studies. By synthesizing the results, we found 34 organizational capabilities important to the adoption of analytical activities within an institution and provide 461 ways to operationalize these capabilities. Five categories of capabilities can be distinguished – Data, Management, People, Technology, and Privacy & Ethics. Capabilities presently absent from existing learning analytics frameworks concern sourcing and integration, market, knowledge, training, automation, and connectivity. Based on the results of the review, we present the Learning Analytics Capability Model: a model that provides senior management and policymakers with concrete operationalizations to build the necessary capabilities for successful learning analytics adoption.

MULTIFILE

A Capability Model for Learning Analytics Adoption

product

Seven business models for decision management

Research, advisory companies, consultants and system integrators all predict that a lot of money will be earned with decision management (business rules, algorithms and analytics). But how can you actually make money with decision management or in other words: Which business models are exactly available? In this article, we present seven business models for decision management.

LINK

product

Analytical Formalism for Data Representation and Object Detection with 2D LiDAR

In mobile robotics, LASER scanners have a wide spectrum of indoor and outdoor applications, both in structured and unstructured environments, due to their accuracy and precision. Most works that use this sensor have their own data representation and their own case-specific modeling strategies, and no common formalism is adopted. To address this issue, this manuscript presents an analytical approach for the identification and localization of objects using 2D LiDARs. Our main contribution lies in formally defining LASER sensor measurements and their representation, the identification of objects, their main properties, and their location in a scene. We validate our proposal with experiments in generic semi-structured environments common in autonomous navigation, and we demonstrate its feasibility in multiple object detection and identification, strictly following its analytical representation. Finally, our proposal further encourages and facilitates the design, modeling, and implementation of other applications that use LASER scanners as a distance sensor.

DOCUMENT

product

The application of arbitration in transnational private regulation

This paper investigates the prospective application of arbitration by Transnational Private Regulation (TPR). It builds on the study of TPR developed by Fabrizio Cafaggi et al. TPR addresses the ever-increasing transfer of regulatory power from national to global levels, and from public to private regulators. TPR entails private regulatory co-operation be-yond the jurisdictional boundaries of States through voluntary standards. The regimes of TPR are built by a variety of actors, such as companies, NGOs, independent experts, and epistemic communities. Examples of TPR can be found in food safety, forestry management, trade, and derivatives, among other fields. More specifically, they concern private actors engaging in transnational coordination of standard setting such as the Forest Stewardship Council (FSC) that was developed to foster responsible management of the world’s forests. There are four main characteristics of TPR: legitimacy, quality, effectiveness, and enforcement. I will describe those four characteristics in brief here. First, the legitimacy of TPR is built around consent through voluntary entry, participation, and exit of regulated entities. Important to this contribution is that the legitimacy of TPR goes beyond its legal dimension, measured by purely legal standards. Hence, the legitimacy of TPR is largely determined by standards developed by social and economic institutions relevant to specific TPR regimes. The role of those institutions in standard settings is higher in private TPR regimes than private-public TPR regimes, where some forms of compliance are mandatory. Second, the quality of TPR corresponds to the ex ante and ex post evaluation cycle of regulatory processes. It is also linked with the transparency of TPR. Third, the effectiveness of TPR is measured according to the extent to which the objectives of TPR (or selected TPR regimes) are met. And finally, enforcement of TPRis understood as ‘ensuring compliance with commitments’. Enforcement of TPR can take place through courts, administrative agencies, and private dispute resolution—including the arbitration at the core of this contribution. Cafaggi’s study identified rather selective use of arbitration in TPR, but also recommended changes to make arbitration law more adaptable to TPR. Furthermore, the study recommended that more specialized dispute resolution institutions are created to exclusively serve TPR. Against this background, I shift the main focus of analysis from TPR to arbitration. Whereas Cafaggi argued that arbitration may be suitable for TPR as a means of private enforcement, in this paper I go even further, arguing that arbitration as a means of informal, out-of-court dispute resolution is well suited to strengthen the normativity of TPR. This is so because private arbitration actors (including, inter alia, arbitrators and arbitral institutions) are already equipped with the tools necessary to facilitate cross-border TPR, which is done through informal standards and procedures with origins in the communitarian values and reputational mechanisms used by different communities before the development of modern States. The roots of most private justice regimes—including arbitration—are informed by communitarian values such as collaboration, participation, and personal trust. Those values, together with other core characteristics of arbitration correspond to all core characteristics of TPR, making both systems comparable and complementary. The analytical framework incorporated in this paper follows the four core characteristics of TPR. Hence, the paper is organized into five sections. The first section contains the introduction. In the second section, I analyze the legitimacy of arbitration vis-à-vis the legitimacy of TPR. In the third section, I investigate the accountability of arbitration as a means of quality signaling vis-à-vis TPR. In the fourth section, I focus on the remedies available to arbitrators in a view of TPR’s effectiveness. Finally, in the fifth section, I analyze enforcement through arbitration and its impact on the exclusiveness versus complementarity of TPR regimes. Conclusions follow, including recommendations for future research. Part of topic "The blurring distinction between public and private in international dispute resolution"

MULTIFILE

The application of arbitration in transnational private regulation

product

External Validation of Models for Predicting Disability in Community-Dwelling Older People in the Netherlands

Background: Advanced statistical modeling techniques may help predict health outcomes. However, it is not the case that these modeling techniques always outperform traditional techniques such as regression techniques. In this study, external validation was carried out for five modeling strategies for the prediction of the disability of community-dwelling older people in the Netherlands. Methods: We analyzed data from five studies consisting of community-dwelling older people in the Netherlands. For the prediction of the total disability score as measured with the Groningen Activity Restriction Scale (GARS), we used fourteen predictors as measured with the Tilburg Frailty Indicator (TFI). Both the TFI and the GARS are self-report questionnaires. For the modeling, five statistical modeling techniques were evaluated: general linear model (GLM), support vector machine (SVM), neural net (NN), recursive partitioning (RP), and random forest (RF). Each model was developed on one of the five data sets and then applied to each of the four remaining data sets. We assessed the performance of the models with calibration characteristics, the correlation coefficient, and the root of the mean squared error. Results: The models GLM, SVM, RP, and RF showed satisfactory performance characteristics when validated on the validation data sets. All models showed poor performance characteristics for the deviating data set both for development and validation due to the deviating baseline characteristics compared to those of the other data sets. Conclusion: The performance of four models (GLM, SVM, RP, RF) on the development data sets was satisfactory. This was also the case for the validation data sets, except when these models were developed on the deviating data set. The NN models showed a much worse performance on the validation data sets than on the development data sets.

DOCUMENT

External Validation of Models for Predicting Disability in Community-Dwelling Older People in the Netherlands

product

Particulate matter exposure in roadwork companies

Particulate matter (PM) exposure, amongst others caused by emissions and industrial processes, is an important source of respiratory and cardiovascular diseases. There are situations in which blue-collar workers in roadwork companies are at risk. This study investigated perceptions of risk and mitigation of employees in roadwork (construction and maintenance) companies concerning PM, as well as their views on methods to empower safety behavior, by means of a mental models approach. We held semi-structured interviews with twenty-two employees (three safety specialists, seven site managers and twelve blue-collar workers) in three different roadwork companies. We found that most workers are aware of the existence of PM and reduction methods, but that their knowledge about PM itself appears to be fragmented and incomplete. Moreover, road workers do not protect themselves consistently against PM. To improve safety instructions, we recommend focusing on health effects, reduction methods and the rationale behind them, and keeping workers’ mental models into account. We also recommend a healthy dialogue about work-related risk within the company hierarchy, to alleviate both information-related and motivation-related safety issues. https://doi.org/10.1016/j.ssci.2019.06.043 LinkedIn: https://www.linkedin.com/in/john-bolte-0856134/

DOCUMENT

Particulate matter exposure in roadwork companies

product

Explaining effective team-vision development in small, entrepreneurial teams: a Shared Mental Models approach

Organizing entrepreneurial collaboration in small, self-directed teams is gaining popularity. The underlying co-creation processes of developing a shared team vision were analyzed with a core focus on three underlying processes that originate from the shared mental models framework. These processes are: 1) the emergence of individual visions and vision integration, 2) conflict solving, and 3) redesigning the emerging knowledge structure. Key in the analysis is the impact of these three processes on two outcome variables: 1)the perceived strength of the co-creation process, 2) the final team vision. The influence of business expertise and the relationship between personality traits and intellectual synergy was also studied. The impact of the three quality shared mental model (SMM) variables proves to be significant and strong, but indirect. To be effective, individual visions need to be debated during a second conflict phase. Subsequently, redesigning the shared knowledge structure resulting from the conflict solving phase is a key process in a third elaboration phase. This sequence positively influences the experienced strength of the co-creation process, the latter directly enhancing the quality of the final team vision. The indirect effect reveals that in order to be effective, the three SMM processes need to be combined, and that the influence follows a specific path. Furthermore, higher averages as well as a diversity of business expertise enhance the quality of the final team vision. Significant relationships between personality and an intellectual synergy were found. The results offer applicable insights for team learning and group dynamics in developing an entrepreneurial team vision. LinkedIn: https://www.linkedin.com/in/rainer-hensel-phd-8ba44a43/ https://www.linkedin.com/in/ronald-visser-4591034/

DOCUMENT

Explaining effective team-vision development in small, entrepreneurial teams: a Shared Mental Models approach

product

A note on the parameter set for factor analysis models

Mycotoxins are small (MW approximately 700), toxic chemical products formed as secondary metabolites by a few fungal species that readily colonise crops and contaminate them with toxins in the field or after harvest. Ochratoxins and Aflatoxins are mycotoxins of major significance and hence there has been significant research on broad range of analytical and detection techniques that could be useful and practical. Due to the variety of structures of these toxins, it is impossible to use one standard technique for analysis and/or detection. Practical requirements for high-sensitivity analysis and the need for a specialist laboratory setting create challenges for routine analysis. Several existing analytical techniques, which offer flexible and broad-based methods of analysis and in some cases detection, have been discussed in this manuscript. There are a number of methods used, of which many are lab-based, but to our knowledge there seems to be no single technique that stands out above the rest, although analytical liquid chromatography, commonly linked with mass spectroscopy is likely to be popular. This review manuscript discusses (a) sample pre-treatment methods such as liquid-liquid extraction (LLE), supercritical fluid extraction (SFE), solid phase extraction (SPE), (b) separation methods such as (TLC), high performance liquid chromatography (HPLC), gas chromatography (GC), and capillary electrophoresis (CE) and (c) others such as ELISA. Further currents trends, advantages and disadvantages and future prospects of these methods have been discussed.

DOCUMENT

product

Midwifery students’ perspectives on how role models contribute to becoming a midwife

Background: The dynamics of maternal and newborn care challenge midwifery education programs to keep up-to-date. To prepare for their professional role in a changing world, role models are important agents for student learning. Objective: To explore the ways in which Dutch and Icelandic midwifery students identify role models in contemporary midwifery education. Methods: We conducted a descriptive, qualitative study between August 2017 and October 2018. In the Netherlands, 27 students participated in four focus groups and a further eight in individual interviews. In Iceland, five students participated in one focus group and a further four in individual interviews. All students had clinical experience in primary care and hospital. Data were analyzed using inductive content analysis. Results: During their education, midwifery students identify people with attitudes and behaviors they appreciate. Students assimilate these attitudes and behaviors into a role model that represents their ‘ideal midwife’, who they can aspire to during their education. Positive role models portrayed woman-centered care, while students identified that negative role models displayed behaviors not fitting with good care. Students emphasized that they learnt not only by doing, they found storytelling and observing important aspects of role modelling. Students acknowledged the impact of positive midwifery role models on their trust in physiological childbirth and future style of practice. Conclusion: Role models contribute to the development of students’ skills, attitudes, behaviors, identity as midwife and trust in physiological childbirth. More explicit and critical attention to how and what students learn from role models can enrich the education program.

DOCUMENT

Zoekresultaten

Producten 638

A Capability Model for Learning Analytics Adoption

Seven business models for decision management

Analytical Formalism for Data Representation and Object Detection with 2D LiDAR

The application of arbitration in transnational private regulation

External Validation of Models for Predicting Disability in Community-Dwelling Older People in the Netherlands

Particulate matter exposure in roadwork companies

Explaining effective team-vision development in small, entrepreneurial teams: a Shared Mental Models approach

A note on the parameter set for factor analysis models

Midwifery students’ perspectives on how role models contribute to becoming a midwife

Projecten 1

Plantinhoudsstoffen uit vezelhennep

Navigeer naar

Categorieën

Filters

Producten 638

A Capability Model for Learning Analytics Adoption

Seven business models for decision management

Analytical Formalism for Data Representation and Object Detection with 2D LiDAR

The application of arbitration in transnational private regulation

External Validation of Models for Predicting Disability in Community-Dwelling Older People in the Netherlands

Particulate matter exposure in roadwork companies

Explaining effective team-vision development in small, entrepreneurial teams: a Shared Mental Models approach

A note on the parameter set for factor analysis models

Midwifery students’ perspectives on how role models contribute to becoming a midwife

Projecten 1

Plantinhoudsstoffen uit vezelhennep