metaphor. Educational Psychologist‚ 31(3/4)‚ 151-161. Millar‚ R. (1989). Constructive criticisms. International Journal of Science Education‚ 11(Special Issue): 83-94. Neale‚ D. C.‚ & Smith D. (1990). Implementing conceptual change teaching in primary science. Elementary School Journal‚ 91(2)‚ 109-32. Novak J. D. (1998). Learning‚ creating and using knowledge: concepts maps as facilitative tools in schools and corporations. London: Nlawrence Erlbaum Associates‚ Publishers. Novodvorsky‚ I
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THE PRIMARY MISSION OF UNIVERSITIES SHOULD BE PREPARING STUDENTS FOR THE WORKFORCE SUBMITTED BY D.N.S BHARGAVA (20140023) FUNCTIONING OF THE UNIVERSITIES: Many students are not satisfied with the results of the study in the universities because the faculty focus and concentrate on the basic academic topics but not on practical skills‚ which is necessary after the completion of graduation. Nowadays‚ some people believe that the primary mission of universities‚ for students
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Data Warehouse Concepts and Design Contents Data Warehouse Concepts and Design 1 Abstract 2 Abbreviations 2 Keywords 3 Introduction 3 Jarir Bookstore – Applying the Kimball Method 3 Summary from the available literature and Follow a Proven Methodology: Lifecycle Steps and Tracks 4 Issues and Process involved in Implementation of DW/BI system 5 Data Model Design 6 Star Schema Model 7 Fact Table 10 Dimension Table: 11 Design Feature: 12 Identifying the fields from facts/dimensions: MS: 12 Advanced
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Data Collection Methods. Introduction Data collection is the process of gathering and measuring information on variables of interest‚ in an established systematic fashion that enables one to answer stated research questions‚ test hypotheses‚ and evaluate outcomes. Data Collection Techniques include the following: Personal Interviews Conducting personal interviews is probably the best method of data collection to gain first hand information. It is however‚ unsuitable in cases where there are
Free Sampling Simple random sample Stratified sampling
Semester- II BSW Fr. Vincent Robert Crasta‚ BSW Dept. - SPC Puttur 18-01-2012 Unit- II: Puberty: Characteristics of Puberty: Steps in understanding stages of Puberty: Causes‚ and Criteria-determinants Primary and Secondary Characteristics Effects of Deviant Maturing: Early and Late Matures‚ Rapid and Slow matures Sources of Concern during Puberty: Concern of the Pubescent‚ about normalcy‚ Sex appropriateness‚ Weight and Genitalia. Physical and Psychological
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The observation of teaching at a local primary school provided me with an opportunity to watch how teachers interact with their students. I could see that teaching methods are becoming more diverse nowadays and multimedia is integrated into classrooms. Some teachers still put emphasis on rote learning by asking students to repeat words and sentences over and over again‚ while others adopted more dynamic approaches such as teaching through role play and group discussion. Teaching mathematics with
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BOC-008-0312/2007 DATA COLLECTION METHODS Methods of data collection. The term data means groups of information that represent the qualitative or quantitative attributes of a variable or set of variables. Data are typically the results of measurements and can be the basis of graphs‚ images‚ or observations of a set of variables. Data are often viewed as the lowest level of abstraction from which information and knowledge are derived. Data can be classified into primary and secondary data. In order to
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Data Mining: What is Data Mining? Overview Generally‚ data mining (sometimes called data or knowledge discovery) is the process of analyzing data from different perspectives and summarizing it into useful information - information that can be used to increase revenue‚ cuts costs‚ or both. Data mining software is one of a number of analytical tools for analyzing data. It allows users to analyze data from many different dimensions or angles‚ categorize it‚ and summarize the relationships identified
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university CASE STUDY OF DATA MINING Summitted by Jatin Sharma Roll no -32. Reg. no 10802192 A case study in Data Warehousing and Data mining Using the SAS System. Data Warehouses The drop in price of data storage has given companies willing to make the investment a tremendous resource: Data about their customers
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Big Data‚ Data Mining and Business Intelligence Techniques 2 What is Data? • Data is information in a form suitable for use with a computer. • There are two types of data ▫ Structured ▫ Unstructured • The total volume of data is growing 59% every year. • The number of files grow at 88% every year. 3 What is Big Data? Exa Analytics on Big Data at Rest Up to 10‚000 Times larger Peta Data Scale Giga Data at Rest Tera Data Scale Mega Traditional Data Warehouse
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