National Center for Education Statistics (NCES)’s Post

*CEDS Version 12* The National Center for Education Statistics recently announce the release of Common Education Data Standards (CEDS) Version 12 which include new data definitions and updated data models to support use cases across P20W.   This major version of CEDS includes: 101 new elements including:  4 elements pertaining to board members 3 salary schedule elements 3 attendance elements 25 military elements 12 job elements 2 elements supporting EDFacts reporting 8 elements to support the collection of accessible formats 92 updated elements including:  595 context updates in the CEDS Domain Entity Schema to support new use cases involving 168 elements (new and updated) 685 option changes involving 84 elements (new and updated) include:  14 end dated options  19 changed options  652 new options The standards can be found at https://ceds.ed.gov/ You can be involved now to expand future versions of CEDS. Visit the Open Source Community (OSC) Element Repository (https://lnkd.in/eVkz3eT8) to explore current use cases, and tune into OSC Monthly Meetings to engage with other community members and hear what they're discussing.   Our next OSC Monthly Meeting is Monday, March 4th at 2:00 PM ET. Meeting Information here: https://lnkd.in/eFhbuX4k

Are you an educator attending the Joint Statistical Meetings (#JSM2024)? Let’s connect! 📍 Find us at Exhibit Booth 604 As the primary source for #EducationData in the U.S., NCES has made it easier than ever to access key data through our user-friendly tools: 📊 Utilize powerful data tools: NCES Data Tools at nces.ed.gov/datatools/ 📈 Discover insights through dashboards: NCES Digest Dashboard at https://lnkd.in/eYz6Zze2 🌍 Access geographic data: NCES Geographic Program at nces.ed.gov/programs/edge/ Stop by our booth to learn how to access these resources and discover the latest updates from NCES. Whether you're interested in statistical methodology or looking to leverage data in your classroom, our team is here to help. https://lnkd.in/e5c8PfZy

Hello Large Scale Data users, I'm excited to announce that EdSurvey 4.0.7 is now available for download from the R CRAN! This update includes support for: 1. Main NAEP data up to 2022 2. NAEP long-term trend data up to 2023 3. 2022 NAEP Monthly School Survey (MSS) Linking Study 4. 2021 NAEP School and Teacher Questionnaire Special Study Additionally, we’ve added support for two international assessments: PISA 2022 and ICILS 2023. We’re also introducing a new rounding feature that adheres to NCES statistical standards, or you can customize it to your needs. For more details, check out ?es_round within the package. For further information about its functionalities and the data supported by EdSurvey, please visit https://lnkd.in/geGy_kPH. #NAEP, The Nation's Report Card, #PISA, #ICILS, #National Center for Education Statistics (NCES), #American Institutes for Research, #Large Scale Data

The importance of learning tables well in the Primary Sector. https://lnkd.in/eijhmMB6

Upon completing this course I learnt the basics of statistics. The different types of data which are commonly found in the everyday life. How we can collect the data for determining different kind of outcomes. This helped me to see statistics in a different way. Dr. Charithra C M BNM Institute Of Technology

The Digest of Education Statistics released four web tables to accompany the recent #CCD #data release! Check them out here: https://lnkd.in/e6SreaPy [Image description: A group of high school students sitting on the steps outside of their school. Below the image is the Institute of Education Sciences logo and the title “SY 2018–19 Common Core of Data (CCD) Graduates/completers Public-Use and Restricted-Use Data Files.” Spanning the top and bottom of the image are two narrow black bars. The bar at the top includes the text “Common Core of Data (CCD).” The bar at the bottom includes “National Center for Education Statistics” to the left and “nces.ed.gov” to the right.]

I wish I could drop this ! This I said to my seat mate as I checked the time table in preparation for the next class But I couldn't because it had been made a compulsory subject so I would have to seat.for the examination in the forth coming WAEC examinations Data processing in my own perspective was useless being that it should have just been a topic under Computer Science rather than it standing as a subject on it's own. The teacher who taught the topic made it worse because he wasn't good at teaching. This made the class very boring and difficult to comprehend . All he taught everyday was "a table is said to be in it's first normal form if" So I never liked the Subject and wished it could be removed from the school's syllabus. But I always passed it using the application of my knowledge of Computer. But it's amazing to see how the course "Data analysis" is now a top notch skill to acquire as it evolved from the subject and concept of "Data Processing". This shows that no subject is useless. Just like no knowledge gained is a waste, the knowledge acquired from that subject can be useful if not for the now, in the nearest future. But the method of teaching and the efficiency of the teacher who teaches that subject are factors that greatly affect the perception of students with regards to the useful of these subjects. P.S: What subject was useless to you #tss 1.0

Social Network Analysis (SNA) is vital in academic environments. SNA can improve scholarly communication, enhance research output, and create more cohesive and efficient academic communities. The article below outlines the iterative process of Social Network Analysis (SNA), emphasizing key steps: defining learning questions, network parameters, engaging stakeholders, collecting data, analyzing findings, and sharing results. It highlights the importance of clear objectives and parameters to guide data collection and analysis. The analysis includes metrics like density, centrality, reciprocity, and clusters to assess network dynamics. Finally, it stresses sharing results with participants and the public, adhering to ethical guidelines. https://lnkd.in/dNRwD4Et

"Thrilled to announce the successful completion of a 6-month Microsoft Excel (Advanced and Basic) and Basic Computer course from LMITT Institute! 🎓 This course has not only expanded my skill set but also enhanced my ability to work efficiently with data, reports, and computer systems. Looking forward to applying these new skills in my professional journey." Key Takeaways: 1. Mastered Advanced Excel Functions: Proficiency in formulas like VLOOKUP and HLOOKUP and for efficient data analysis. 2. Data Visualization: Learned how to create and customize charts, graphs, and pivot tables to present data insights clearly. 3. Automation with Macros: Gained skills in automating repetitive tasks using Excel Macros to save time. 4. Data Management: Developed strong skills in data sorting, filtering, and validation techniques. 5. Conditional Formatting: Acquired knowledge in applying conditional formatting to highlight key data trends. 6. Basic Computer Skills: Improved understanding of fundamental computer operations and system management. 7. Keyboard Shortcuts: Learned key Excel shortcuts to boost speed and productivity. 8. Problem Solving: Enhanced analytical thinking through complex data-related exercises and case studies. #MicrosoftExcel #DataSkills #ProfessionalGrowth #LMITT

Day21of leraning #DSA Today im learning about ********************* Queue Implementation: Array Implementation of Queue in Data Structure ********************** #DSA #CODEWITHHARRY #LEARING