Developments in the educational effectiveness research programme

Educational effectiveness as a research programme moved from an input-output paradigm to an input-process-output paradigm and, in view of the fact that so-called contextual school effectiveness is gaining in importance, this might be more properly termed a context-input-process-output-based approach. The aim of this introductory chapter is to put the state of the art of educational effectiveness research into perspective by summarizing the most important developments in output measurement, the identification of relevant input-, process- and contextual conditions and the causal modeling of these categories. Specific consideration is given to the improvement of substantive multi-level models of educational effectiveness and to available theories that could help to reveal the explanatory mechanisms behind these models

Integrated Exploration of Data-Intensive Business Processes

Modeling and reasoning over business processes require enterprises to manage and integrate large amounts of information. Despite process designers and engineers may benefit from a unified view of process and data models, integrating these two perspectives is challenging, especially when considering conceptual models. In this paper, we provide a uniform formal representation of a process model, the schema of a related database, and the data operations connecting them. Then, we show how we can use such a formal representation to identify interesting information during the integrated conceptual modeling and analysis of processes and related databases, from a process (re-)design and improvement perspective. Finally, we discuss the evaluation of the proposed approach through a controlled experiment and a proof-of-concept implementation that considers both relational and XML database technologies

A Novel Methodology for Manufacturing Firms Value Modeling and Mapping to Improve Operational Performance in the Industry 4.0 Era

Abstract In recent years there has been appreciable academic activity in manufacturing value creation resulting in that the ability to create value is based on the competence to make decisions and implement strategies; even though this evidence it is still difficult to understand where the company's weak points are located so value modeling approaching is arising. In this study Authors first report a qualitative review on value creation and modeling based on the identification, selection and analysis of about 100 papers, then specify the value concept within manufacturing companies. Within this context the Authors describe a novel methodology for manufacturing value modeling from strategic level down to operational improvements. The methodology and the related mapping and analysis tools have been co-developed with Siemens MES division within Industry 4.0 context. The Manufacturing Value Modeling Methodology (MVMM) is based on 5 steps: Value Map, Maturity Model, Gap and Process Analysis, Validation and Improvement Areas Definition. Through this methodological approach, a series of structured interviews allowing to construct the value map accordingly to the current company maturity model and the relationships between the strategic objectives and operational practices, capabilities, and methods. Combining the assessments interview with the Company' resources, infrastructure and IT structures, it is possible to establish a current level of the company. The mapping step is followed by a gap and process analysis, assessing most relevant areas for the creation of value aiming at constructing an interventions roadmap, setting out priorities and activities to be improved. The selection of the improvement areas defines process initiatives, KPIs and interventions to improve business alignment. To provide a practical view of the methodology a sample of the Value Modeler tool is presented and discussed

Enhancing content knowledge of in-service science teachers through model and modeling

The guiding question for this paper is; how does model and modeling enable student-teachers to develop a conceptual understanding of the cell as a structural and functional unit of living things? A teaching unit ‘The Cell’ was designed in view that models are a major teaching and learning tool for developing scientific thinking, whereas modeling means a process of forming representation. The teaching and learning strategies reported here encapsulated four modeling phases. Firstly, student-teachers modeled historical development of cell through a time line and role play and discussed the evolutionary and tentative nature of science. Secondly, the candy factory analogy provided a reference point to relate functional similarities between the units of a factory and cell organelles. Thirdly, students-teachers developed a 2D model to express their interpretation of the mental model. Fourthly, they critiqued their 2D model to develop a 3D model. Overall, a progression of conceptual understanding with distinct phases of enacting, building and rebuilding helped student teacher to conceptualize the structure and function of cell. Pre-post tests results show marked improvement in student-teachers’ content knowledge on various aspects of structure and function of cell. Furthermore, teachers appreciated the effectiveness of the modeling process in enhancing their content knowledge and helping them develop understanding of the nature of model and modeling. Teachers also acknowledged the model as an effective teaching tool, which they could use in their classroom

Tackling Dierent Business Process Perspectives

Business Process Management (BPM) has emerged as a discipline to design, control, analyze, and optimize business operations. Conceptual models lie at the core of BPM. In particular, business process models have been taken up by organizations as a means to describe the main activities that are performed to achieve a specific business goal. Process models generally cover different perspectives that underlie separate yet interrelated representations for analyzing and presenting process information. Being primarily driven by process improvement objectives, traditional business process modeling languages focus on capturing the control flow perspective of business processes, that is, the temporal and logical coordination of activities. Such approaches are usually characterized as \u201cactivity-centric\u201d. Nowadays, activity-centric process modeling languages, such as the Business Process Model and Notation (BPMN) standard, are still the most used in practice and benefit from industrial tool support. Nevertheless, evidence shows that such process modeling languages still lack of support for modeling non-control-flow perspectives, such as the temporal, informational, and decision perspectives, among others. This thesis centres on the BPMN standard and addresses the modeling the temporal, informational, and decision perspectives of process models, with particular attention to processes enacted in healthcare domains. Despite being partially interrelated, the main contributions of this thesis may be partitioned according to the modeling perspective they concern. The temporal perspective deals with the specification, management, and formal verification of temporal constraints. In this thesis, we address the specification and run-time management of temporal constraints in BPMN, by taking advantage of process modularity and of event handling mechanisms included in the standard. Then, we propose three different mappings from BPMN to formal models, to validate the behavior of the proposed process models and to check whether they are dynamically controllable. The informational perspective represents the information entities consumed, produced or manipulated by a process. This thesis focuses on the conceptual connection between processes and data, borrowing concepts from the database domain to enable the representation of which part of a database schema is accessed by a certain process activity. This novel conceptual view is then employed to detect potential data inconsistencies arising when the same data are accessed erroneously by different process activities. The decision perspective encompasses the modeling of the decision-making related to a process, considering where decisions are made in the process and how decision outcomes affect process execution. In this thesis, we investigate the use of the Decision Model and Notation (DMN) standard in conjunction with BPMN starting from a pattern-based approach to ease the derivation of DMN decision models from the data represented in BPMN processes. Besides, we propose a methodology that focuses on the integrated use of BPMN and DMN for modeling decision-intensive care pathways in a real-world application domain

Deep Physics-aware Inference of Cloth Deformation for Monocular Human Performance Capture

Recent monocular human performance capture approaches have shown compelling dense tracking results of the full body from a single RGB camera. However, existing methods either do not estimate clothing at all or model cloth deformation with simple geometric priors instead of taking into account the underlying physical principles. This leads to noticeable artifacts in their reconstructions, such as baked-in wrinkles, implausible deformations that seemingly defy gravity, and intersections between cloth and body. To address these problems, we propose a person-specific, learning-based method that integrates a finite element-based simulation layer into the training process to provide for the first time physics supervision in the context of weakly-supervised deep monocular human performance capture. We show how integrating physics into the training process improves the learned cloth deformations, allows modeling clothing as a separate piece of geometry, and largely reduces cloth-body intersections. Relying only on weak 2D multi-view supervision during training, our approach leads to a significant improvement over current state-of-the-art methods and is thus a clear step towards realistic monocular capture of the entire deforming surface of a clothed human