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The Effects of In Service Training on Teachers’ Knowledge about Project-Based Learning and Competencies for Conducting Projects: pyep Case
Fatma ?NEN,Hatice MERTO?LU,Mehpare SAKA,Ayla GüRDAL
Journal of Kirsehir Education Faculty , 2010,
Abstract: The research consists of two sections. The first section of the research was to determine teachers who participated in service training knowledge about project and project based learning. The second section aimed to determine teachers’ ability to prepare project and project based lesson after in service training. Participants of the study were 120 teachers from various districts and six different disciplines but 104 of them were evaluated.Qualitative research method was used .Five open-ended questions which were prepared from researchers were administrated to inservice teachers. Data gathered from open-ended questions and teachers project reports were analyzed to find out teachers’ knowledgeabout project and project based learning. The results indicated that most of the teachers improve their understanding about project and project based learning after in service training. They also gain ability of preparing project and project based lesson. However;some of the teachers’ still have lack of understanding about project and project based learning.
Learn More about Your Data: A Symbolic Regression Knowledge Representation Framework  [PDF]
Ingo Schwab, Norbert Link
International Journal of Intelligence Science (IJIS) , 2012, DOI: 10.4236/ijis.2012.224018
Abstract: In this paper, we propose a flexible knowledge representation framework which utilizes Symbolic Regression to learn and mathematical expressions to represent the knowledge to be captured from data. In this approach, learning algorithms are used to generate new insights which can be added to domain knowledge bases supporting again symbolic regression. This is used for the generalization of the well-known regression analysis to fulfill supervised classification. The approach aims to produce a learning model which best separates the class members of a labeled training set. The class boundaries are given by a separation surface which is represented by the level set of a model function. The separation boundary is defined by the respective equation. In our symbolic approach, the learned knowledge model is represented by mathematical formulas and it is composed of an optimum set of expressions of a given superset. We show that this property gives human experts options to gain additional insights into the application domain. Furthermore, the representation in terms of mathematical formulas (e.g., the analytical model and its first and second derivative) adds additional value to the classifier and enables to answer questions, which sub-symbolic classifier approaches cannot. The symbolic representation of the models enables an interpretation by human experts. Existing and previously known expert knowledge can be added to the developed knowledge representation framework or it can be used as constraints. Additionally, the knowledge acquisition framework can be repeated several times. In each step, new insights from the search process can be added to the knowledge base to improve the overall performance of the proposed learning algorithms.
Model of knowledge representation about materials in the form of a relational database for CAPCAST system  [PDF]
B. Mrzyg?ód,K. Regulski
Archives of Foundry Engineering , 2011,
Abstract: This study is related with one of the components of a hybrid decision support system called CAPCAST, implemented under a research project conducted by WIMIIP AGH. It is a model of knowledge representation about materials in the form of a relational database, de- signed to allow the transformation of its records into components of a rule-based knowledge base.
Chosen aspects of innovative projects management  [PDF]
J. Gawlik,A. Kie?bus
Archives of Foundry Engineering , 2010,
Abstract: Any company willing to maintain its market position has to search and implement innovative products and services. Integrated development ofenterprise’s innovative activity requests a constant search for new technologies and new organizational forms. Ability of effectivemanagement of innovative projects becomes a crucial issue. The paper presents a characteristic of innovative projects accordingly toOECD standards. Project management concepts based on Project Management Institute (PMI) and International Project ManagementAssociation (IPMA) procedures have been discussed. Key success factors have been defined, i.e.: obtaining assumed project outcome (range), project implementation conform to planned schedule (deadline), maintaining project costs under a certain limit (budget), quality (are the customers satisfied?), resources (team losses and interpersonal relations). Tables comparing product innovativeness with fields of requested know – how for particular product innovativeness levels have been elaborated. Finally, SCRUM method of adaptive project management aiming at providing possibly optimal outcome has been described.
Knowledge Representation  [PDF]
Mikalai Birukou
Computer Science , 2002,
Abstract: This work analyses main features that should be present in knowledge representation. It suggests a model for representation and a way to implement this model in software. Representation takes care of both low-level sensor information and high-level concepts.
Scenario approach to innovative projects effectiveness estimation under risk  [PDF]
Sergey V. Krukov
European Researcher , 2011,
Abstract: The problem of an estimation of efficiency of innovative projects in article is considered. The offered decision is based on a method of the analysis of scenarios.
Business planning innovative projects: the essence of technology, advantages and disadvantages
S.V. Knyaz,N.G. Georgiadi,Y.S. Bogiv
Marketing ì Mened?ment Innovacìj , 2012,
Abstract: The article substantiates the necessity to develop technology business planning innovative projects. Arguments made by the ground analysis of the advantages and disadvantages of existing business planning technologies.
Methodological approach to evaluation of evolutional risk in innovative projects
L.K. Glinenko
Marketing ì Mened?ment Innovacìj , 2012,
Abstract: A methodological approach to quantitative assessment of innovative project evolutional risk based on comparing the values of indicators of evolutional correctness and efficiency with their priori values with further recalculation of comparison results to the evolutional risk premium in the discount rate of a project is proposed.
Evaluation of the Effectiveness of Innovative Management Projects in the Currency of the World  [PDF]
Sailau Baizakov, Nauryz Baizakov
American Journal of Industrial and Business Management (AJIBM) , 2019, DOI: 10.4236/ajibm.2019.911132
Abstract: The issues of algorithmization of achieving the sustainable development goals of economics of developing countries of the world are considered. The place of the S. Baizakov’s model system is determined, which is compared to the FAO models for ensuring the productive safety of the world countries, proposed by the World Bank, as well as by the OECD management criteria system. This study was financially supported by grant No. AP05131044 from the scientific and technical programs and projects of the Ministry of Education and Science of the Republic of Kazakhstan.
The DLV System for Knowledge Representation and Reasoning  [PDF]
Nicola Leone,Gerald Pfeifer,Wolfgang Faber,Thomas Eiter,Georg Gottlob,Simona Perri,Francesco Scarcello
Computer Science , 2002, DOI: 10.1145/1149114.1149117
Abstract: This paper presents the DLV system, which is widely considered the state-of-the-art implementation of disjunctive logic programming, and addresses several aspects. As for problem solving, we provide a formal definition of its kernel language, function-free disjunctive logic programs (also known as disjunctive datalog), extended by weak constraints, which are a powerful tool to express optimization problems. We then illustrate the usage of DLV as a tool for knowledge representation and reasoning, describing a new declarative programming methodology which allows one to encode complex problems (up to $\Delta^P_3$-complete problems) in a declarative fashion. On the foundational side, we provide a detailed analysis of the computational complexity of the language of DLV, and by deriving new complexity results we chart a complete picture of the complexity of this language and important fragments thereof. Furthermore, we illustrate the general architecture of the DLV system which has been influenced by these results. As for applications, we overview application front-ends which have been developed on top of DLV to solve specific knowledge representation tasks, and we briefly describe the main international projects investigating the potential of the system for industrial exploitation. Finally, we report about thorough experimentation and benchmarking, which has been carried out to assess the efficiency of the system. The experimental results confirm the solidity of DLV and highlight its potential for emerging application areas like knowledge management and information integration.
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