As education and common core modernized with time‚ educators had difficulties comparing students’ academic levels and determining national standards. An educational pioneer named Horace Mann created a standardized test in 1845 to give “children equal opportunities” (Gershon). The idea expanded globally and each nation created their own forms of testing to accommodate for their country’s academic system. In Thailand‚ for example‚ O-Net is the form of testing which not only is the basis for the national
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a system that just shuffles the kids through‚ and that’s unacceptable. It’s unacceptable to quit on a kid early and just say‚ ’Move through‚ and hope you learn.’” Researchers and data analysts at the S.E.E.A.L.L University have noticed that standardized testing is a very controversial topic to many people. Standardized tests are a test that students have to take every year in order to determine whether a student is at a standard or level of knowledge and skill that they are supposed be at. There
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Data Projectors Amy Shipman $50- $66‚525 What is a data projector? It is “a device that projects computer output onto a white or silver fabric screen that is wall‚ ceiling or tripod mounted." The three most common types of data projectors are the LCD‚ DLP‚ and the LCoS. Each type of projector will project your audio and video‚ they just have different ways to process the output of your audio and video. DLP stands for Digital Light Processing. This type of data projector has a light that
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IT433 Data Warehousing and Data Mining — Data Preprocessing — 1 Data Preprocessing • Why preprocess the data? • Descriptive data summarization • Data cleaning • Data integration and transformation • Data reduction • Discretization and concept hierarchy generation • Summary 2 Why Data Preprocessing? • Data in the real world is dirty – incomplete: lacking attribute values‚ lacking certain attributes of interest‚ or containing only aggregate data • e.g.‚ occupation=“ ”
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.......................................................................................... 3 2.1.2 Non-functional requirement ............................................................................................. 5 3. Logical design: Data Modeling (ERD) .................................................................................... 6 4. Logical design: Process Modeling (DFD) ............................................................................... 9 5. Decision
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Ensuring Data Storage Security in Cloud Computing Cong Wang‚ Qian Wang‚ and Kui Ren Department of ECE Illinois Institute of Technology Email: {cwang‚ qwang‚ kren}@ece.iit.edu Wenjing Lou Department of ECE Worcester Polytechnic Institute Email: wjlou@ece.wpi.edu Abstract—Cloud Computing has been envisioned as the nextgeneration architecture of IT Enterprise. In contrast to traditional solutions‚ where the IT services are under proper physical‚ logical and personnel controls‚ Cloud Computing
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Americans leave long electronic trails of private information wherever they go. But too often‚ that data is compromised. When they shop—whether online or at brick and mortar stores—retailers gain access to their credit card numbers. Medical institutions maintain patient records‚ which are increasingly electronic. Corporations store copious customer lists and employee Social Security numbers. These types of data frequently get loose. Hackers gain entry to improperly protected networks‚ thieves steal employee
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HABIB BANK LIMITED PAKISTAN Introduction Habib Bank Limited (commonly referred to as "HBL") (Arabic: حَبيب بينك) is the largest bank in Pakistan and a thoroughly established banking chain throughout the world. An extensive network of 1425 branches in Pakistan and 55 international branches makes it one of the largest banks in Pakistan today. Habib Bank Plaza located in Karachi‚ Sindh is the formal headquarters of the bank. The bank has a network outside Pakistan including USA‚ UK‚ Middle East
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an era of big data‚ this data-driven world has the potential to improve the efficiencies of enterprises and improve the quality of our lives; however‚ there are a number of challenges that must be addressed to allow us to exploit the full potential of big data. This paper focuses on challenges faced by online retailers when making use of big data. With the provided examples of online retailers Amazon and eBay‚ this paper addressed the key challenges of big data analytics including data capture and
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METHODS OF DATA COLLECTION BY ADEDOYIN SAMUEL ADEBAYO INTERNATIONAL BLACK SEA UNIVERSITY TBILISI - GEORGIA MA IN EDUCATION STUDENT NO:12500151 LECTURER: PROF. IRINA BAKHTADZE METHODS OF COLLECTING DATA Introduction: Data Collection is an important aspect of any type of research study. Inaccurate data collection can impact the results of a study and ultimately lead to invalid results. Data collection methods for impact evaluation vary along a continuum. At the one end
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