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  • Advanced algebra, data science and more: UC rethinks contested issues of high school math

    Advanced algebra, data science and more: UC rethinks contested issues of high school math


    Credit: JeswinThomas / Pexels

    Next month, a panel of University of California professors in the sciences and math will give their recommendations on the contentious issue of how much math high school students should know before taking a college-qualifying course in data science. Its answer could influence future course offerings and admissions requirements in math for UC and CSU.

    “There’s a tension between the interest in adhering to math standards and ensuring students learn math and also recognizing the changes that are happening in the uses of math in industry and the world in general,” said Pamela Burdman, executive director of Just Equations, a nonprofit that promotes policies that prepare students with quantitative skills to succeed in college. 

    “How UC resolves this issue will have a bearing on that, and the signals that UC sends to high schools about what is and isn’t approved will have a big impact on what this next generation of students learns.”

    The issue has embroiled California’s higher education decision-makers, and it mired proponents and opponents of California’s new TK-12 math framework in an acrimonious debate earlier this year.

    Advocates have cited the appeal of introductory data science as a way to broaden the boundaries of math to students who were turned off by it.  Traditionalists – STEM professors and professionals – countered that courses like introductory data science that include little advanced math content create the illusion that students are prepared for college-level quantitative work while discouraging them from pursuing STEM majors.

    Separate from this immediate question, a second group of UC, CSU and community college math professors is revisiting a more fundamental question: How much math knowledge is essential for any high school graduate with college aspirations, and separately for those interested in pursuing STEM, the social sciences or majors needing few quantitative skills?

    For the past two decades, the answer was cut-and-dried — and uniform. The CSU and UC defined foundational high school math as the topics and concepts covered by the three math courses – Algebra I, Geometry, and Advanced Algebra, which is Algebra II — that both systems require students to pass for admission. 

    With the state’s adoption of the Common Core math standards for K-12 in 2010, the options expanded to include Integrated I, II and III, which cover the same Common Core topics in a different order. Both UC and CSU encourage students to take a fourth year of math, and most do.

    The debate has centered on Algebra II. For future science, engineering and math majors, Algebra II is the gateway to the path from trigonometry and Pre-calculus to Calculus, which they must eventually take. But for the majority of non-STEM-bound students, Algebra II can be a slog: difficult, abstract and irrelevant to the college plans.

    Despite a general agreement that high school math should be more relatable and relevant, there is intense disagreement on the fix.

    New course offerings in the burgeoning fields of data science and statistics “present new ways to engage students. At the same time, they can foster the quantitative literacy — or competency with numerical data — that math courses are intended to provide,” Burdman wrote in a commentary in EdSource. “They have the potential to improve equity and ensure that quantitative literacy is a right, not a privilege.”  

    But with 17% of Black children, 23% of Hispanic children and 23% of low-income children scoring proficient in the latest Smarter Balanced tests, the need for effective and engaging math instruction must begin long before high school. The new TK-12 math framework, approved in July after multiple revisions and four years of debate, forcefully calls for fundamental changes in math instruction. 

    “Arguments about what content should be included in high school mathematics fail to acknowledge the elephant in the room: We haven’t yet figured out how to teach the concepts of algebra well to most students,” wrote psychology professors Ji Song of CSU Los Angeles and James Stigler of UCLA in an Edsource commentary.

    Committees of faculty senates of both UC and CSU have restated that Algebra II, along with geometry and Algebra I, provide the skills and quantitative reasoning needed for college work, in whatever paths students eventually choose.  

    “College and career readiness expectations include completion of these sequences or their equivalent that cover all of the Common Core standards,” the CSU Math Council wrote in a January resolution.

    But in 2020, the influential UC academic senate, which is authorized to oversee course content for admissions, sent a critical mixed message. In a statement, the Board of Admissions and Relations with Schools or BOARS invited proposals for a broader range of math courses for consideration that would enable students to “complete certain mathematics courses other than Algebra II or Mathematics III in their junior year of high school to fulfill the minimum admissions requirement.” BOARS said it saw the expanded options “as both a college preparation and equity issue.”

    Proponents of data science seized the opportunity, launching an end-run around what they perceived to be the inflexibility of math professors to change.

    New courses

    BOARS oversees policy, but the High School Articulation Unit, a small office in the UC President’s Office, does the evaluating and vetting of the tens of thousands of courses that course developers and high school teachers submit annually for approval. The office began authorizing new data science courses as meeting or “validating” the content requirements of Algebra II and Integrated III. The validation exemption presumed that the new course would build upon concepts and standards that students had covered in previous courses — in this case, Algebra II — or would be covered in the new course.

    Subsequently, 368 data science and related courses received approval for 2022-23 and 435 for 2023-24. Nearly all use one of a half-dozen or so data science curricula developed for high schools.

    There had been a precedent. As early as 2014, the UC had questionably validated statistics courses as satisfying Algebra II because they cover statistics standards that many Algebra II teachers frequently don’t get to, while not teaching other Algebra II content. However, extending validation to data science is more problematic since California has not established standards for the subject. As a result, there are no guidelines for what standards the courses should be teaching.

    A flaw in implementation or policy?

    In a detailed Nov. 12 letter to UC regents, Jelani Nelson, a professor of electrical engineering and computer sciences at UC Berkeley and a leading critic of weakening math requirements through course substitution, put the blame not on policy changes but on the course-approval process. An Articulation Unit with a small staff, none of whom had a background in STEM, was overwhelmed, he wrote.

    Others agree. Rick Ford, professor emeritus and former chair of the department of mathematics at CSU Chico, said that what once was a rigorous process for course approval had become a “horrendous” pro-forma exercise, “primarily reliant on the fidelity of submitters” to follow BOARS guidelines.

    The oldest and most popular course, Introduction to Data Science, developed by UCLA statistics professor Robert Gould through funding from the National Science Foundation and used throughout Los Angeles Unified, covered only the statistics standards, not other content in Algebra II. The same was the case with another popular course validated for Algebra II, “Explorations in Data Science,” developed by YouCubed, a Stanford University research center.

    Most students who had taken Introduction to Data Science so far had taken Algebra II, so that was not a problem. But those who took it as juniors in lieu of Algebra II might find the course shut doors instead of opening them. Those who might later decide they want to major in biology, computer science, chemistry, neurology or statistics, all of which require passing Calculus, would find themselves struggling for lack of Algebra II; the CSU, meanwhile, no longer offers remediation courses in math.

    “You’re asking a 14- or 15-year-old kid to make a lifelong decision in the spring of sophomore year,” said Ford, who chaired the influential Academic Preparation and Education Programs Committee of the CSU academic senate. “Watering down content is creating a multitrack system instead of giving all students the greatest chance of success.”

    A backlash followed

    News that UC was approving the substitution of data science for third-year Common Core math frustrated the faculty of CSU, which has relied on BOARS and the UC faculty for policy decisions since the two systems agreed to common course requirements, known as A-G, in 2003. Approving coursework that does not meet Common Core standards “brought to light the complete lack of control that the CSU has over the A-G high school requirements that are used for admission to our system,” the CSU senate stated in a January resolution. It called for the academic senates of both systems “to explore establishing joint decision-making” over new courses and changes to the A-G standards.

    In July, during the lead-up to the anticipated approval of the final version of the updated California Math Framework by the State Board of Education, tensions came to a head. Thousands of STEM professionals and UC and CSU faculty had signed petitions sharply criticizing earlier drafts of the math guidelines. The proposed framework had discouraged districts from offering Algebra I in eighth grade, compounding the challenge of taking Calculus before high school graduation, while encouraging students to take data science over STEM professions that were described as less interesting and collaborative. One of the five authors of the drafts was Jo Boaler, a prominent professor of mathematics education at the Stanford Graduate School of Education and co-founder of YouCubed.

    In the framework it adopted in July, the State Board of Education left it to districts to decide who should take Algebra in the eighth grade. The final version revised language conflating courses in data literacy, which all 21st-century students need, with math-intensive data science courses that, together with Calculus, would prepare students for a data science major in college. It also dropped a new third pathway for data science next to the traditional pathway leading to Calculus. 

    But the final framework hasn’t fully mollified critics, including Elizabeth Statmore, a math teacher at Lowell High in San Francisco and former software executive.

    “By encouraging students to abandon algebra before they’ve solidified their understanding, the (framework) makes it even more difficult for them to get back on that track — even more so now that our community colleges and CSUs have done away with remedial courses,” she wrote in an email. 

    “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. 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.”

    Feeling the heat, BOARS hastily reversed positions on July 7 — days before the State Board meeting — revoking validation for meeting Algebra II requirements for all data science courses. And, in a letter to the State Board, BOARS Chair Barbara Knowlton requested wording changes to the proposed framework, which the board did, including deleting a diagram that showed data science as an option to sub for Algebra II.   

    “The data science courses that have to date been approved by UCOP’s high school articulation team appear not to have been designed as third- or fourth-year mathematics courses,” wrote Knowlton, a professor of psychology at UCLA.

    Ten days later, BOARS met again and clarified that there might be some exceptions for granting validation to those data science courses with “a prerequisite mastery of Algebra II content.” It also reiterated that the revocation of A-G credit would exempt students who are currently taking data science courses, with credit for Algebra II, or who had taken data science courses in past years.  

    “It’s been unfortunate that UC’s process of determining the rules has caused far more confusion than was needed,” said Burdman, the executive director of Just Equations.

    The minutes of the meeting revealed that BOARS members professed they didn’t know how the articulation unit in the President’s Office determined if courses could be substituted. Nor could they determine how many data science courses were designated as advanced math. The President’s Office said about 400 data science courses were being taught in California high schools.

    The minutes said that BOARS would appoint a working group, including professors of computer science, neuroscience, statistics and math, to clarify how to enforce the July 7 revocation vote, incorporate Algebra II as a course prerequisite, and determine the criteria for course validation.

    BOARS, whose meetings are not public,  hasn’t disclosed who’s in the group, although it includes no CSU faculty. The group has been meeting ahead of a December deadline so that BOARS can review and take action in January; only then will its recommendations be made public, Knowlton said in an interview. 

    There’s pressure to complete work in time for the next course cycle for the fall of 2024, starting in February, so that applicants know the new rules. “There is a concern among some people that if we don’t send this message quickly, there will be a proliferation of these courses,” she said.

    Knowlton hopes the work group will identify elements of algebra that are critical for student success and evaluate courses to see which ones don’t cover them. 

    “Some validated courses may leave out really very important foundational aspects of math, and we want to reiterate what those are,” she said. Course developers could choose to add concepts to qualify for validation for Algebra II; that’s what the developers of financial math have done. Or instead, they could offer courses like data science as advanced math in the fourth year of high school, with a prerequisite of Algebra II.

    Knowlton said BOARS is committed to equity in college admissions. But the challenge is balancing access and preparation, she said. “We want as much access as possible, yet it has to mean that students are prepared.”

    But Aly Martinez, the former math coordinator for San Diego Unified, is worried that efforts to create innovative and rigorous courses in data science and statistics will be swept aside if BOARS applies restrictions too broadly.

    After surveying students about their math interests, the district worked with the creators of CourseKata to turn its college statistics and data science course into two-year high school courses incorporating Algebra II standards and college and career pathway requirements. The courses can lead to Calculus for STEM majors; others can apply the knowledge to social science and other majors. The first-year course is popular and should be validated as satisfying Algebra II, she said.

    “There is momentum and excitement about this work,” said Martinez, who is now the director of math for the nonprofit Student Achievement Partners. “Those who are innovative should not be the ones getting hurt.”

    A fresh look at standards

    The second committee commissioned will take a broader and longer view of math content. Its members will include math professors from the CSU and community colleges, as well as UC, as a math subcommittee of a joint faculty body, the Intersegmental Committee of Academic Senates.

    Kate Stevenson, a math professor at CSU Northridge and member of the new workgroup, said, “It’s not our goal to rewrite the standards, but to emphasize what parts of the standards are really critical to all students’ success and which are critical to life sciences as opposed to engineers, physicists and chemists.”

    The committee will probably not recommend dropping math standards but could look at reorganizing or de-emphasizing them, she said.

    Few Algebra II teachers find time for statistics standards, she said. “So what would a third year look like with a better balance between statistics and algebraic skills? Could we repeat less of Algebra I if we did the integrated pathway?”  she asked. “Or what parts of the algebra curriculum could really belong in Pre-calculus rather than in Algebra II?”

    Although it is not the role of the committee, Stevenson said she thinks the Common Core standards deserve revisiting. “It’s not that I don’t like the standards. But it’s very unlikely the mathematics that we agreed to in 2013 is the mathematics that we think students should have in 2030.”

    Clarification: The article was updated Dec. 15 with the exact number of data science courses that the Articulation Unit of the UC Office of the President approved for 2022 and 2023; they were fewer than the article had implied.





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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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  • All students can excel in advanced mathematics

    All students can excel in advanced mathematics


    Students in Rebecca Pariso’s seventh-grade math class designed and created piñatas with specific volume and surface area constraints.

    Courtesy: Rebecca Pariso

    Last year, my seventh-grade class created at-scale drawings of cost-efficient cabins for an outdoor education camp. Using three-dimensional figures and proportional reasoning, my students designed and created piñatas with specific volume and surface area constraints. We completed many challenging test questions, such as: If eight and a half cups of flour are needed for five and three-quarter cups of sugar, how much sugar is needed for one cup of flour?

    Such problems require higher-level thinking skills and a lot of grit. The number of students in my classroom who did not meet the standard on the state test was the lowest in nine years. The number of proficient students doubled compared with last year’s seventh-grade class. 

    Contrary to what you might expect, I was not teaching an honors math class. Instead, my students were a diverse group wholly representative of our student population. In my district, 89% of students are Hispanic or Latino, 24% are multilingual learners, and 81% are socioeconomically disadvantaged students. The accomplishments of the students in my class are a testament to what happens when our educational system becomes inclusive. 

    Take Luciana, for example. She walked into my classroom with bangs covering her eyes and an oversize sweatshirt covering the rest of her face. She was used to not being seen by people, but I saw her potential in mathematics. At first, Luciana talked to no one and hid in the back of the classroom while she did the math. By the end of the year, her bangs were parted down the middle and her hands were outside her oversize sweatshirt. It was incredible to see Luciana’s transformation. She had raised her score two band levels and was considered proficient in seventh-grade mathematics. 

    Math is the most tracked subject in the United States. (Tracking is the practice of placing students in different classes or levels based on perceived ability.) Historically, specific student groups, predominantly Black, Latino, and low-income students, have been underrepresented in advanced math courses like honors classes. On the other hand, students from more affluent backgrounds, mainly white and Asian students, tend to be overrepresented in these programs. This can be attributed to many educational inequities, including school funding disparities, which affect the availability and quality of advanced math courses in schools serving low-income communities. Research shows that these schools often need more resources, experienced teachers and challenging curricula that promote success in these advanced courses. 

    This setup doesn’t serve anyone. My students are just as capable as any other students, honors or otherwise, of succeeding in a math class rich in project-based learning and rigorous problem-solving. Furthermore, multiple studies have shown that separating students based on skills and abilities widens the achievement gap between minority students like Luciana, low-performing students, and students of low socioeconomic status. Luciana and every other student in California deserve to be in a class rich in high-quality math instruction, where they can connect their learning to their school and community, conduct open-ended inquiry, and engage in reflective learning. 

    In 2020, I was one of 20 educators to serve on a committee with the California Department of Education to help with the revision of the math framework. As a result, I have come to see that a paradigm shift must occur in how we define an inclusive math classroom. California Common Core State Standards challenge us to go deeper than just recall and procedural fluency, and my students’ achievements reflect a broader truth: All children, regardless of background, can excel when given the opportunity to engage in meaningful, high-quality math instruction. 

    By creating a learning environment emphasizing problem-solving, collaboration, and high expectations, I enabled my students to rise to the challenge — proving that diversity and background is not a barrier but an asset. Our educational system must stop limiting students based on preconceived notions and instead embrace inclusive teaching methods that unlock every student’s potential. Every child deserves the chance to succeed, and my class proves that they can do so with the right approach.

    •••

    Rebecca Pariso is a seventh-grade math teacher at EO Green Junior High School in Oxnard and a Teach Plus California Senior Policy Fellow.

    The opinions expressed in this commentary represent those of the author. EdSource welcomes commentaries representing diverse points of view. If you would like to submit a commentary, please review our guidelines and contact us.





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  • How Advanced Print Management Systems Are Shaping the Future of Campus Innovation

    How Advanced Print Management Systems Are Shaping the Future of Campus Innovation


    How Advanced Print Management Systems Are Shaping the Future of Campus Innovation

    In the ever-evolving landscape of higher education, innovation isn’t confined to classrooms and research labs—it extends to how universities manage their operations, resources, and technology.

    At the University of Maryland’s A. James Clark School of Engineering, Terrapin Works stands as a shining example of how adopting cutting-edge solutions can transform not just processes, but outcomes.

    Terrapin Works, a hub of rapid prototyping, advanced manufacturing, and digital design, operates a sprawling network of more than 200 machines across 17 campus locations. This state-of-the-art enterprise isn’t just a facility; it’s a mission-driven ecosystem enabling students, faculty, and researchers to turn ideas into reality.

    But with complexity comes challenges, and the need to streamline its job request system became a pivotal moment for this operation.

    The Challenge: Streamlining Complexity in Innovation

    Managing job requests for hundreds of machines servicing diverse users—from students designing prototypes to researchers creating precision parts—was no small feat. Terrapin Works initially relied on a help desk ticketing system that, while functional for IT issues, fell short as a workflow solution.

    The system lacked a user-friendly process for submitting, tracking, and managing requests. Email threads became the backbone of communication, resulting in inefficiencies, delays, and an inconsistent user experience. Technicians, often students themselves, faced a cumbersome workflow that detracted from their ability to focus on the innovative work at hand.

    Nick Bentley, business systems developer and a former University of Maryland student, envisioned a better way. “We needed a one-stop, web-based storefront where customers could initiate a job request, track its progress, and get updates seamlessly,” he explains. For technicians, the solution needed to enable faster, more efficient processing of requests.

    When Bentley discovered PaperCut MF, a solution renowned for its robust print and workflow management capabilities, he saw its potential to redefine how Terrapin Works operated. However, implementing a new system meant addressing concerns about compatibility with existing processes and minimizing fragmentation.

    The Power of a Unified Solution

    Bentley made a compelling case for PaperCut, highlighting its integrated features beyond workflow management, such as billing and 2D print management. This holistic approach allowed Terrapin Works to sunset legacy systems, reduce inefficiencies, and create a unified platform that could scale across the university.

    The results have been transformative. Technicians now process orders with unprecedented speed and accuracy, while users enjoy a seamless experience that eliminates the confusion of the old system. Customers can explore equipment options, verify specifications, and submit orders—all within an intuitive, human-centered interface.

    Terrapin Works’ success with PaperCut didn’t stop at addressing immediate challenges. It sparked a broader vision for what was possible. The platform’s adaptability has led to pilot programs across other campus operations, from copy centers to financial services. With integrations like Nelnet’s payment gateway, the university is leveraging PaperCut to drive innovation in areas far beyond its original scope.

    Rethinking Operational Excellence

    Terrapin Works’ journey underscores an important lesson: Innovation isn’t just about technology; it’s about creating systems that empower people. By prioritizing user experience, integrating processes, and fostering scalability, the University of Maryland has set a benchmark for how universities can evolve in the digital age.

    As higher education institutions navigate the future, the success of initiatives like Terrapin Works serves as a reminder that the right tools—and the right vision—can turn operational hurdles into opportunities for leadership and growth.



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