برچسب: Data

  • Billionaires Are Running Our Country, Says German Data Firm

    Billionaires Are Running Our Country, Says German Data Firm


    The German data company Datapulse released a report showing the vast and growing power of billionaires in the U.S. The report confirms your and my suspicions about the rigging of our economy and our politics. Surely it’s no surprise that Trump’s Cabinet is packed with billionaires. Guess who they are looking out for? Not you.

    They cheered on Elon Musk’s ignominious DOGS as they slashed vital government programs. They didn’t complain when Musk closed USAID, causing the ultimate deaths of millions of children and parents because of the halt in US food, medicine and health clinics.

    They are thrilled to see Trump send in the troops to halt protests against ICE tactics.

    A democracy is supposed to be of the people, for the people, by the people. We are rapidly devolving into an autocratic regime where the rich run the show.

    Here is what Datapulse found:

    The report, “The Rich Aren’t Just Getting Richer—They’re Running the Show” moves beyond familiar headlines to provide fresh, specific data points on wealth, power, and policy.

    Key findings include:

    • The Myth of “Tax Flight”: Contrary to popular narratives, the mega-rich are not fleeing high-tax states. Our data shows that California and New York, states with progressive tax codes, are home to 40% of all U.S. billionaires.
    • Explosive Growth: The number of U.S. billionaires has nearly tripled since 2007, growing from 329 to 877 today. This trajectory is unique to America; China’s billionaire class, by comparison, is stalling.
    • The Rise of the Billionaire Political Class: In the post-Citizens United era, the top 10 political donors, all billionaires, contributed over $420 million in the 2024 cycle alone, directly translating wealth into political influence.
    • Policy for the Few: The study analyzes the direct impact of billionaire-backed policy, such as the House’s 2025 “Big Beautiful Bill,” which could see billionaires gain over $390,000 in annual after-tax income while households earning under $51,000 see their incomes shrink.
    • Concentrated Wealth: Tech and Finance now account for nearly half of all U.S. billionaires, with tech titans alone commanding 37% of total billionaire wealth.

    The full study with all 10 interactive charts is available here:
    https://www.datapulse.de/en/billionaires-usa/ 

    This data provides a new lens through which to view the intersection of wealth and power in America.

    The report was compiled by Datapulse.


    https://www.datapulse.de/en/
    (+49) 30-75437064



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  • 5 Benefits Of Data Analytics For Businesses In 2025


    5 Benefits Of Data Analytics For Businesses In 2025—Infographic

    In 2025, data analytics will continue to be a powerful tool for businesses across industries. As companies seek to stay competitive, the advantages of leveraging data analytics have become more apparent. Here are five key benefits for businesses in 2025:

    1. Improved Decision Making

    Data analytics empowers businesses to make informed decisions based on real-time insights. By analyzing data trends, patterns, and customer behaviors, companies can forecast outcomes more accurately. This leads to better strategic decisions, allowing businesses to respond to market shifts, optimize operations, and meet customer needs more effectively. With predictive analytics, businesses can anticipate potential challenges and opportunities, ensuring that decisions are proactive rather than reactive.

    2. Increased Efficiency

    Data analytics helps streamline business processes by identifying inefficiencies and bottlenecks in operations. Through data-driven insights, businesses can automate repetitive tasks, reduce operational costs, and optimize resource allocation. By monitoring performance metrics, companies can identify areas for improvement, allocate resources more effectively, and ensure that processes run smoothly. Increased efficiency not only saves time but also boosts profitability by cutting unnecessary expenses.

    3. Better Customer Insights

    One of the most valuable aspects of data analytics is the ability to gain deep insights into customer preferences and behavior. By analyzing customer data, businesses can segment their audience, understand buying habits, and personalize marketing efforts. This enables companies to tailor their products, services, and communication strategies to meet the specific needs of their target market. Enhanced customer insights foster stronger relationships, improve customer satisfaction, and drive brand loyalty.

    4. Enhanced Risk Management

    Data analytics plays a crucial role in identifying and mitigating risks. By analyzing historical data, businesses can spot potential risks, from financial issues to cybersecurity threats. With the ability to predict possible risks and assess their impact, companies can take proactive measures to minimize damage. This leads to better financial stability, improved compliance with regulations, and the ability to adapt to unforeseen challenges quickly.

    5. Greater Innovation

    Finally, data analytics drives innovation by providing businesses with insights that spark new ideas and solutions. By examining trends, customer feedback, and market data, companies can identify untapped opportunities for product development or process improvement. This fosters a culture of continuous innovation, where data serves as the foundation for creativity and new business ventures. With data at the core of decision-making, businesses can stay ahead of competitors and remain agile in a rapidly evolving marketplace.

    Conclusion

    In summary, data analytics offers businesses powerful tools to improve decision-making, increase efficiency, gain customer insights, manage risk, and drive innovation. As companies continue to embrace these technologies, the benefits will only grow, helping them thrive in an increasingly data-driven world.



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  • See The Bigger Picture: How to Protect User Data


    See The Bigger Picture: How to Protect User Data—Infographic

    In today’s digital landscape, protecting user data is critical to maintaining trust and preventing breaches. Implementing data protection strategies like securing networks, using encryption, and limiting access to sensitive information ensures a robust defense against cyber threats. Regularly updating software and enabling two-factor authentication also strengthens data security. Transparency with users about how their data is collected, stored, and used fosters confidence and compliance with regulations like GDPR. Safeguard personal and organizational data by following these actionable practices and creating a culture of security. Every small step counts in keeping sensitive information safe from unauthorized access.​



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  • The Power Of Data Visualization





    The Power Of Data Visualization – e-Learning Infographics
















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  • More adults in California earning degrees, data show

    More adults in California earning degrees, data show


    Photo by Allison Shelley for EDUimages

    More adults in the United States are obtaining degrees or other credentials after high school but not quickly enough to meet the goals set 16 years ago by an independent, private foundation focused on access to higher education.

    The Lumina Foundation set a goal in 2008 as part of the Stronger Nation project to have 60% of adults in the country obtain a degree or other credentials beyond high school by 2025. Although officials predict the goal won’t be reached in time, progress has been made.

    “We hear so often that higher education is in decline. We hear so often that students don’t need to go to college,” said Ted Mitchell, president of the American Council on Education, during a live webinar Wednesday. “You could expect the data to show some of that, but it didn’t. It showed just the opposite. It shows college matters.”

    The foundation released 2022 data, the most recent available, that shows 54% of 25- to 64-year-olds hold college degrees, certificates or industry-recognized certifications, nearly a 16 percentage point increase since 2009. 

    “Some of that is attributed to finding a way to measure and then add short-term credentials, but a substantial portion, about 8 and a half percentage points, is the rise in the attainment of bachelor and associate degrees,” said Courtney Brown, Lumina’s vice president of strategic impact and planning and director of the A Stronger Nation project. 

    The No. 1 action the nation can take to reach the goal of 60% is to increase graduation rates, Mitchell said. One strategy is to do a better job of reaching out to people who have some college but no degree. 

    Brown said there are about 40 million people in the country with some college and no degree.

    “We have to ensure those people don’t have a broken promise,” Brown said. 

    California is slightly above the national average at 55%, ranking near the middle compared with other states. Nevada has the lowest percentage of adults with degrees or certificates, nearly 43%, according to 2022 data, and Washington, D.C. has the highest at about 75%. 

    The District of Columbia, Puerto Rico, and 42 states all saw an increase in adults having degrees, data show. In 2009, less than 38% of adults ages 25 to 34 had degrees, and in 2022 that’s increased to about 56%. A big part of the increase is because of the Latino population, Brown said. The number of Latino Americans holding degrees went from about 19% in 2009 to about 34%, according to the most recent data. 

    But there are still wide gaps between white people earning degrees after high school compared to people of color.

    “We’re getting closer and closer, but we’re still seeing stubborn equity gaps with Black and Hispanic Americans sitting on one side of the spectrum to white and Asian Americans on the other,” Brown said during a media call. 

    The national percentage of adults ages 25-64 with either an associate, bachelor’s, graduate or professional degree is 46.5% and all racial groups except white (52%) and Asian Americans (67%) fall below that percentage, data show. Nearly 30% of Hispanic Americans have a degree, while about 36% of Black Americans and about 27% of American Indian or Alaska Natives do. 

    In California, according to the data, the percentage of Latino Americans who obtained a degree is even lower, nearly 24%. About 40% of Black Americans obtained a degree, compared with 30% of American Indians or Alaska Natives, 67% of Asian Americans, and about 59% of white Americans, according to data. 

    To look at data by county in California, go here

    NOTE: EdSource receives funding from several foundations, including the Lumina Foundation. EdSource maintains sole editorial control over the content of its coverage.





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  • UC professors’ math problem: How does data science fit in?

    UC professors’ math problem: How does data science fit in?


    In data science classes, students write computer programs to help analyze large sets of data.

    Credit: Alison Yin/EdSource

    The article was updated March 5 to include the letter from high-tech executives supporting the Algebra II requirement. It also clarifies that AP Statistics is for students who have completed Algebra II.

    An influential committee of the UC Academic Senate weighed in again last month on the contentious issue of how much math high school students must take to qualify to attend a four-year California state university. 

    It ruled that high school students taking an introductory data science course or AP Statistics cannot substitute it for Algebra II for admission to the University of California and California State University, starting in the fall of 2025.

    The Board of Admissions and Relations with Schools or BOARS reaffirmed its position by accepting the recommendations of a workgroup of math and statistics professors who examined the issue. That workgroup determined that none of these courses labeled as data science “even come close” to qualifying as a more advanced algebra course. 

    Robert Gould, a teaching professor and vice chair of undergraduate studies in the statistics department at UCLA and lead author of Introduction to Data Science, said that he disagrees with BOARS’ decision. The course was created under the auspices of the National Science Foundation through a math and science partnership grant.

    “We are disappointed, of course,” he said. “We believe our course is rigorous and challenging and, most importantly, contains knowledge and skills that all students need for both career and academic success.”

    But how, then, will UC and CSU ultimately fit popular data science courses like CourseKata, Introduction to Data Science, and YouCubed’s Explorations in Data Science into course requirements for admission? That bigger question won’t be determined until May when the math workgroup will issue its next report.

    Data science advocates are worried that BOARS, which commissioned the review, may disqualify data science and possibly statistics under the category of math courses meeting the criteria for admissions. Increasing numbers of high school students are turning to introductory data courses in a world shaped by artificial intelligence and other data-driven opportunities and careers. They see them as approachable alternatives to trigonometry, pre-calculus and other rigorous courses students must take to major in science, technology engineering or math (STEM) in college.

    Dozens of high school math teachers and administrators have signed a letter being circulated that will go to the UC regents. It reiterates support for data science and statistics courses and criticizes BOARS for not consulting high school teachers and data science experts for their perspectives.

    “Our schools and districts have adopted such courses because they provide an innovative 21st-century experience that excites and engages students, impart tangible quantitative skills needed for a wide variety of today’s careers and academic fields, and offer new ways for students to interact with and learn mathematics,” the letter states.

    Pamela Burdman, executive director of the nonprofit Just Equations, agreed in a blog post titled “The Latest in the Inexplicable War on High School Data Science Courses.” “The bottom line is that districts are increasingly offering these courses because they are relevant and engaging for many students who otherwise would be turned off by mathematics,” she wrote.

    Will it help or hinder equity?

    Critics of substituting introductory data sciences courses for advanced algebra include STEM professors at UC and CSU. Many say they support data science, but not courses lacking the full range of math topics in high schools that students need for STEM or any major requiring quantitative skills. Skipping foundational math in high school will set back the cause of equity for underserved students of color, not advance it, they argue, by creating the illusion that students are ready for statistics, computer science and data science majors when they aren’t. That may force them to take catch-up courses in community college.

    “The only way we’re going to diversify STEM fields is to keep historically excluded young students on the algebraic thinking pathway just a little bit longer,” Elizabeth Statmore, a math teacher at Lowell High in San Francisco and former software executive, wrote to EdSource last year. “That will give them the mathematical competencies they will need to make their own decisions about whether or not they want to pursue rigorous quantitative majors and careers.”

    Proponents of holding the line on Algebra II and encouraging more students to pursue STEM majors are circulating their own attention-grabbing letter titled Strong Math Foundations are Important for AI. The signers, including Sam Altman, CEO of OpenAI, his nemesis Elon Musk, founder of Tesla, SpaceX and CEO of X, and executives from Apple, NVIDIA, Microsoft and Google, “applaud” UC for maintaining the math requirements.

    “While today’s advances might suggest classic mathematical topics like calculus or algebra are outdated, nothing could be further from the truth. In reality, modern AI systems are rooted in mathematics, making a strong command over math necessary for careers in this field,” it reads. “Failure to maintain standards in the mathematical curriculum in public education will increase the gap between public schools — especially those of under-resourced districts — and private schools, hampering efforts to diversify STEM.”

    Surprise actions by UC Office of President

    For decades, UC and CSU have required that students complete three years of math with at least a “C” — usually in the sequence Algebra I, Geometry, and Algebra II, also called Advanced Algebra – as the math component of A-G, the 15 courses needed for admission. For students taking integrated math, it is Math I, II and III. Both university systems recommend a fourth year of math, and most students take at least that; aspiring STEM majors take two or more additional courses leading to Calculus.

    BOARS establishes policies on admissions, but a small office in the UC President’s Office, the High School Articulation Unit, vets tens of thousands of courses that developers and high school teachers submit for approval. Starting in 2014, the unit began authorizing AP statistics and new data science courses as “validating” or satisfying Algebra II or Integrated Math III content requirements. That meant they either built on the content standards that students had covered or would cover in the course. 

    Although AP Statistics doesn’t cover most Algebra II topics, the rationale for validating it and data science courses — mistakenly so, BOARS determined in retrospect — was that Algebra II includes some statistics, and most teachers never get around to teaching it. That was problematic for introductory data science courses, because the state hasn’t set standards for what should be covered in the courses.  The College Board, the creator of AP Statistics, states that the course is designed for students who have completed Algebra II.

    During the last few years, the staff in the review office approved the three most popular data science courses in more than 400 high schools. After analyzing the three courses, the UC workgroup professors concluded, “We find these current courses labeled as ‘data science’ are more akin to data literacy courses.”

    UC academic committee meetings, including BOARS, are closed to the public. But minutes from the July 2023 meeting indicated that some faculty members were dismayed that the articulation office had validated so many data science courses without their knowledge. “At least one member repeatedly suggested that UCOP has misinterpreted/misapplied the advanced math standard for years — and absent correction, will continue to do so — and so review of all current courses potentially implicated is needed,” the minutes state.

    BOARS hasn’t ruled out approving future data science courses that include more advanced algebra as a substitute for Algebra II; the articulation office has validated Financial Algebra for that purpose. BOARS invited course alternatives in a June 2020 statement, saying it saw the expanded options “as both a college preparation and equity issue.”

    But data science proponents are concerned that the math workgroup will take the opposite position and recommend that the three introductory data science courses be treated as elective courses for A-G but not fourth-year math courses. Ruling that way, they argue, would discourage future non-STEM majors from taking an alternative quantitative reasoning course as seniors. Such a position would reinforce a narrow view that only courses leading to Calculus are legitimate math offerings in the senior year.

    “Revocation of Area C (math) status will significantly reduce our ability to foster students’ statistical and data competency or incentivize enrollment in these programs, at a time when such quantitative abilities are increasingly necessary for functioning personally and professionally in the 21st Century,” the letter to the UC regents says.

    Lai Bui, a veteran math teacher at Mills High School in the San Mateo Union High School District, said there’s no justification for treating CourseKata, an introduction to data science course, differently from AP Statistics, which BOARS has qualified as a fourth-year math course. Students in CourseKata use coding to analyze datasets, while AP Stats students use graphing calculators, which have limitations, she said.

    UCLA and CSU Los Angeles created CourseKata in 2017 as a semester course for college and as a two-semester course for high schools; otherwise, they are similar, said Bui, who has taught it for four years.

    “CourseKata is definitely not data literacy,” she said. “It’s a math course, like AP Statistics, only more real-world connected. I see students succeeding in math instead of thinking, ‘I am not a math person.’”

    In 2023, the CSU Academic Senate expressed frustration that UC was approving courses in data science in lieu of Algebra II without consulting it and urged more joint decision-making involving A-G decisions. In January, three CSU professors were added to the 10-member UC math workgroup.

    Mark Van Selst, a psychology professor at San Jose State and member of the Academic Preparation and Education Programs Committee, considered CSU’s counterpart of BOARS, said this week he fully supports the decision not to retreat from Algebra II as a base of knowledge. But he also favors qualifying non-traditional fourth-year math courses that strengthen quantitative reasoning. He said he hopes the UC math workgroup drafts standards or learning outcomes for data science to distinguish between electives and advanced math courses.

    Gould said he would need to review the possible criteria before deciding whether to revise the content of Introduction to Data Science.

    “A data science education is essential for all students, and all students deserve a relevant and useful math education,” he said. “Despite the committee’s decision, we think it’s important that data science and statistics courses continue to qualify as fourth-year math courses.”





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  • Advanced math in high school prepares students for STEM and data science careers

    Advanced math in high school prepares students for STEM and data science careers


    A high school student contemplates an assignment in math class.

    Credit: Allison Shelley for American Education

    California, along with many other states and nations, has experienced a dramatic increase of student interest in data and computer science careers. Along with the broader tech industry, these fields have been undergoing exponential growth in recent years that’s expected to continue as artificial intelligence (AI), computing platforms and their applications continue to reach every aspect of society.

    The U.S. Bureau of Labor Statistics projects 36% employment growth for data scientists by 2031. California businesses and other sectors are the top home for many of these high-paying careers.

    It’s the responsibility of our state’s academic systems to educate future data-driven leaders in many areas — tech, finance, business, entertainment, biomedicine and health, climate and sustainability, engineering, law, social welfare, public policy, government and education itself, as well as in innovative approaches to the arts and humanities.

    A report recently issued by a work group for the University of California’s Board of Admissions and Relations with Schools (BOARS) concluded that the three most popular high school data science courses being offered in the state do not “even come close to meeting the required standard to be a ‘more advanced’ course” and “are not appropriate as recommended 4th year mathematics courses.”

    We applaud the faculty and staff, across the UC system, who helped develop this report and its recommendations. And we’re delighted by the quick response from the UC Office of the President this month, which shared the message with high school counselors and advisers, summarizing the report and explaining additional steps that UC is taking to implement the BOARS recommendations for the 2025-26 academic year.

    This is a noteworthy example of the California educational system working well and listening to expert feedback in order to best serve its students. Hundreds of university professors in the state and beyond came out against the rapid adoption of high school data science classes that were being offered as a supposed substitute for advanced algebraic math, or Algebra II. While these introductory data science courses may whet high school students’ appetites, if they are taken at the exclusion of Algebra II, students will not be adequately prepared for science and technology majors in college. We must make sure that the prerequisites for admission to our colleges and universities adequately prepare students to pursue careers in these fields.

    Other Perspectives on this topic

    This could leave the impression that we don’t support data science — which is far from the truth! We believe that data science is an important discipline to study and a career path for making important contributions in our communities and world. Data science can be a route to increased data literacy, enabling students to distinguish between real information and misinformation and the skills to pursue data-driven approaches to whatever their passions and wherever their careers may lead.

    Our data science program at UC Berkeley’s College for Computing, Data Science, and Society is the top-ranked program for undergraduate students in the country. We’ve been active in providing curriculum materials to other institutions in California and around the world, including community colleges and universities. We’ve hosted educators across a broad range of academic institutions, including high schools, at an annual conference on data science education for the last six years.

    We know from years of study and practice that learning math is cumulative. In order for California students to be adequately prepared for the science and technology majors they may choose to pursue in college — including data and computer science — the advanced math curriculum in high school is essential. While data science and statistics courses have been rapidly added to high school options and are welcome additions, these courses cannot replace the foundational math content found in Algebra II. We also acknowledge, and encourage, innovative curricula aiming to teach Algebra II via the context of data science, as such courses could be appropriate.

    We applaud UC and California decision-makers for their recognition that Algebra II is necessary student preparation for the successful completion of college degrees that require a strong grounding in math, including data and computer science. We welcome opportunities to continue this conversation and promote successful outcomes by ensuring students obtain the math knowledge and skills to pursue careers in science and technology.

    •••

    Jennifer Chayes is dean of the UC Berkeley College of Computing, Data Science, and Society, and professor of electrical engineering and computer sciences, information, mathematics and statistics.

    Jelani Nelson is a professor of electrical engineering and computer sciences at UC Berkeley.

    The opinions in this commentary are those of the authors. If you would like to submit a commentary, please review our guidelines and contact us.





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  • Data Science helps students of color opt in for more math 

    Data Science helps students of color opt in for more math 


    Credit: Pexels

     It was the height of distance learning when 16-year-old Aaron Butler took Compton Unified’s first step into data science education by joining the Young Data Scientists League. The next year, 2021, the young African American varsity basketball captain enrolled in Compton’s first high school data science course, thanks to a 2020 decision by UC’s admissions committee allowing such courses to qualify for students’ third or fourth year of high school math. Now a business economics major at UCLA, Aaron said that “before I was closed off to math, but data science made me way more interested in mathematics.”

    Because of UC’s decision to count data science toward the math requirement for college admissions, Compton’s Dominguez High counselors recommended that students like Aaron enroll in data science without fear of them losing their competitive edge on university admissions. Ensuring college access is paramount for our student population, who are predominantly Hispanic, Black and Pacific-Islander and 94% of whom are socio-economically disadvantaged. Data science, with its hands-on, real-world applications, is exactly the right gateway for both math-averse and math-inclined students alike to engage with rich mathematics and take the UC-recommended four years of math coursework.

    Now UC has retracted that decision, making it much less likely that counselors will recommend data science to our students. Consequently, we’re likely to see a decline in enrollment and retention during the four years of high school mathematics among students of color.

    Data Science at Dominguez High School is the only course in Compton Unified that allows students to receive regular in-classroom instruction in relevant topics such as predictive mathematical modeling, machine learning, artificial intelligence (AI), sensitivity analysis, and programming, which all rely on math concepts taught and reinforced in the data science classroom. This is in addition to a number of other high-level concepts in quantitative reasoning and analysis, such as linear algebra, 3D vector space, conditional probability and more.  

    As the teacher of Compton’s Data Science course, in partnership with Stanford’s Youcubed, I (Jason) end up teaching content from a range of advanced math standards because, though my students are passing courses like Integrated Math 3, Precalculus and even Calculus, they are not fully grasping the material there. Students report having the opportunity to finally make sense of their traditional math courses by applying concepts as a part of the data science experience. Once they learn to think about math in context, they possess a skill that enables them to learn subsequent math content better.

    Another PERSPECTIVE ON THIS TOPIC

    This is a defining moment for mathematics education in California. Neural network models, the driving force behind AI tools such as ChatGPT, are one of the hottest subjects in applied mathematics research. By adopting data science in 2020, UC took a proactive step toward reframing mathematics as a relevant discipline that could equip 21st century learners with scientifically valid tools to engage in the rapidly changing information landscape. At the same time, UC recognized alternate pathways to quantitative reasoning courses in college without precluding students from science, tech, engineering and math (STEM) majors. The reversal of that decision will push math back to a position of irrelevance in the eyes of most students, especially those traditionally marginalized in STEM. 

    Moreover, not allowing data science courses to count for admission doesn’t only sacrifice a hook for attracting students to STEM fields. It also denies students who are not interested in STEM the opportunity to code, exacerbating the digital divide and, consequently, the wealth gap. As UC’s Office of the President wrote after the Berkeley campus created a college of computing, data science and society, “Every undergraduate in any area of study will increasingly need exposure to data science during their time on campus.”

    Why should students wait until college to delve into these rich waters of mathematical study?

    Narrowing the scope of acceptable mathematics perpetuates exclusivity rather than fostering inclusivity and belief in all learners’ potential. For many Dominguez High students we’ve spoken with who are either enrolled or have graduated from the UC system, success and persistence in STEM, including data science, correlated to growth mindsets, cultural competence, positive identities and supportive communities and structures. 

    As technology evolves, so must we reevaluate definitions, policies and support systems that address gaps in math achievement, engagement and retention. This comprehensive reassessment requires input from diverse stakeholders, fostering collective understanding and alignment toward common goals. We must put in place a review process that engages school districts, education leaders, classroom educators, faculty from the California State University, and families who can offer crucial insights on the impact of key decisions affecting our most vulnerable populations. This process must be data-driven. It is argued that allowing data science to validate Algebra 2 adversely impacted preparation for STEM degrees for students of color. Where is the data supporting this assertion? On the contrary, we have decades of data that demonstrate that the traditional Algebra 2 pathway disproportionately fails to get students of color college-ready, and falls short of promises to boost post-secondary STEM engagement.

    We have seen the power of data science to increase college readiness and STEM engagement for all, particularly underrepresented students of color. As Aaron told us, “Data science was very hands-on because we were applying the math we learned. It made me like the course even more.” Every student like Aaron should have exposure to data science that opens mathematics to them as a highly relevant 21st century discipline where they know they belong.

    •••

    Jason Lee Morgan, an 18-year math teacher at Dominguez High School in Compton, instructs the Stanford YouCubed’s data science course. 

    Kagba Suaray, Ph.D., is a professor of mathematics and statistics at California State University, Long Beach, and graduate adviser for the applied statistics master of science program. 

    Kyndall Brown, Ph.D., executive director of the California Math Project at UCLA and Robin Wilson, Ph.D., professor of mathematics at California State Polytechnic University, Pomona and Loyola Marymount University, contributed to this commentary.

    The opinions in this commentary are those of the authors. If you would like to submit a commentary, please review our guidelines and contact us.





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  • U.S. Supreme Court Allows DOGE to Access Your Most Sensitive Personal Data

    U.S. Supreme Court Allows DOGE to Access Your Most Sensitive Personal Data


    DOGE (or DOGS, as I prefer to call them) just won the authority to see your most important personal data, thanks to the rightwing bloc of six on the SupremeCourt.,

    It’s really unbelievable. There is legislation protecting our personal data. But the Court split 6-3 to allow these mostly very young, very inexperienced kids to review and gather our personal data. The Court also shielded members of the DOGE group from public scrutiny.

    The six Republicans on the Court claim to be conservatives. They are not. Some of the six claim to be “originalists,” ruling in accord with the wishes of the Founding Fathers. Nonsense.

    Who are these people that Elon Musk left behind? No one knows for sure. Were they confirmed by the U.S. Senate? No. What are their credentials? No one knows for certain. What right do these shadowy people have to know our personal data? They are not a government agency. They are friends of Elon.

    This decision gives open access to our records by shadowy figures whose purposes are hidden.

    Are they building a data base for the next election? Will the data be used to blackmail people?

    These are frightening decisions.



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  • Long-term English learners do worse on tests than peers with fewer years in U.S. schools, data shows

    Long-term English learners do worse on tests than peers with fewer years in U.S. schools, data shows


    Credit: Alison Yin / EdSource

    Este artículo está disponible en Español. Léelo en español.

    Long-term English learners who have been enrolled in U.S. schools for more than six years without becoming proficient in the language do worse on California’s math and English language arts tests than English learners who have been enrolled for fewer than six years.

    California released data for the first time on long-term English learners’ achievement in standardized tests in math, English language arts and science for the 2022-23 school year, after a bill signed in 2022 required it. Long-term English learners are students who have been enrolled in U.S. schools for six years or more but have not advanced on the English proficiency test in two or more years. The state also released data for those “at risk of becoming long-term English learners,” defined as students who have been enrolled for four or five years and scored at intermediate level or below on the English proficiency test.

    In the past, California had separated achievement data for English learners by those who had been enrolled for less than or more than a year, but not for long-term English learners or those at risk of becoming long-term English learners.

    As a whole, students classified as English learners tend to do poorly on academic tests precisely because they are still learning English, and once they are reclassified, they tend to do much better

    Yet the data shows that long-term English learners do worse than their counterparts who have been enrolled in U.S. schools for fewer years.

    Only 5.4% of long-term English learners met or exceeded English language arts standards in 2022-23, compared with 10.9% of English learners as a whole. In math, only 2.1% of long-term English learners met or exceeded the standards, versus 9.9% of English learners as a whole.

    “There’s something really tragic that happens when students are not getting what they need every year, and they’re not feeling successful, and it really shapes their identity as a student,” said Nicole Knight, executive director of English language learner and multilingual achievement at Oakland Unified School District. 

    Knight said Oakland Unified has been separating the district’s own achievement data by the number of years English learners have been in school and found similar results. “The longer they’re in the system as long-term English learners, at least from a statistical standpoint, they tend to do worse and worse,” she said.

    Conor P. Williams, senior fellow at The Century Foundation, said the data is not surprising and is likely due to several factors. 

    In part, these scores may have to do with the way the state defines English learners. Students who do not do well on academic tests continue to be classified as English learners because California requires students to do as well as their English-speaking peers on English language arts tests, in addition to passing the English Language Proficiency Assessment, in order to be reclassified as fluent. 

    “The fact that long-term English learners do particularly worse on a lot of academic metrics likely reflects the fact that there is an academic indicator in California’s reclassification criteria. That is not standard in all states,” said Williams. In many states, he said, students only have to pass an English language proficiency test in order to be reclassified as fluent.

    Shelly Spiegel-Coleman, strategic adviser of Californians Together, said it’s important to note that most English learners do reclassify within six years. She said long-term English learners may not have received strong English language development support in their early years and probably no instruction in their home languages. She added that some English learners with fewer years of enrollment in U.S. schools may have arrived in the country already knowing how to read in their home languages.

    A study by Californians Together showed that more than a third of long-term English learners also have disabilities that qualify them for special education services.

    “Sometimes that is an excuse for folks, but those students can also reclassify, (though) it may take them a little more time,” said Knight. She said English learners with disabilities are less likely to receive quality instruction in English language development and quality special education services. “That’s a big issue that districts and schools need a lot more support and guidance with than what we currently have.”

    Knight added that being classified as English learners for many years can hurt students’ self-esteem and cause them to become disengaged with school and stop turning in assignments or attending class.

    The data is a call to action for districts, said Spiegel-Coleman. She said beginning next year, districts will have to include plans for long-term English learners in their local control accountability plans, or LCAPs. These are plans that every district and charter school must write every year, explaining how they will use state funds to improve educational outcomes for certain groups of students.

    “When they’re writing their LCAPs, they need to look at those kids and say what is it we need to do for them?,” Spiegel-Coleman said. “Now that will happen. It will heighten their visibility, for sure.”

    Knight said districts also need to offer more training and support for middle and high school teachers to incorporate explicit instruction in the English language, no matter what subject they teach. For example, she said Oakland Unified has worked to train middle school math teachers on how to teach students the language they need to understand in order to figure out a math problem.

    She said districts can also help long-term English learners become more engaged in school, for example with internships or career education where they can use their skills in their home language.

    The data also shows districts need to do more to help students learn enough English to reclassify as fluent in their first six years of school, before they become long-term English learners, both Spiegel-Coleman and Knight said.

    “The number of long-term English learners in our system is really an indictment on our system as a whole, in Oakland and outside of Oakland,” Knight said.

    She said some schools in Oakland reclassify almost 30% of their English learner students every year, while other schools reclassify almost none of them. 

    “That tells us that it’s really about the experiences they’re getting,” Knight said. “So how do we make sure more and more of our classrooms and schools are doing what these schools that have high reclassification rates are doing?”





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