Marshall Memo 1087
A Weekly Round-up of Important Ideas and Research in K-12 Education
May 12, 2025
1. Ten reasons discovery learning continues to be popular
2. When should students take Algebra I?
3. The secret sauce of seven highly effective Utah math teachers
4. Teaching writing in the AI era
5. Helping students tackle multi-step assignments
6. Douglas Reeves on getting grading reform unstuck
“Falling behind is simply not an option.”
A Utah middle-school math teacher (see item #3)
“Ask a trusted friend, ‘What’s one thing I need to hear, but probably don’t want to?’”
Dan Rockwell in “The 7 Universal Laws of the Rut” in Leadership Freak, May 7, 2025
“In reading, foundational skills typically refer to students’ learning how to ‘crack the code’ of recognizing the sounds in English and how they’re mapped onto letters. But skilled reading includes more than just these word recognition elements. Students must also learn the structures of written English, to read with increasing fluency, and to draw on their background knowledge and expanding vocabulary to understand what they read.”
Sarah Sparks in “Are Early-Reading Laws Changing Teaching Practices?” in Education
Week, April 25, 2025; Sparks can be reached at [email protected].
“When a measure becomes a target, it ceases to be a good measure.”
Goodhart’s Law (1975) – that a metric originally designed to measure a system’s
performance, if turned into a goal, can distort and undermine the original purpose of the
measure. Examples: a focus on test scores leading to overuse of test prep; DIBELS scores leading to an overemphasis on reading quickly and practicing nonsense words.
“Our relationships with our smartphones are far from healthy. The mediascape is becoming a stormy sea of anxiety, envy, delusion, and rage. Our attention is being redirected in surprising and often worrying ways. The overheating of discourse, the rise of conspiratorial thinking, the hollowing out of shared truths: all these trends are real and deserve careful thought. The panic over lost attention is, however, a distraction… Ours is an era of obsession as much as distraction, of long forms as much as short ones, of zeal as much as indifference. To ascribe our woes to a society-wide attention deficit disorder is to make the wrong diagnosis.”
Daniel Immerwahr in “Check This Out” in The New Yorker, January 27, 2025
In this online article, psychologist Paul Kirschner traces the historical roots of discovery learning:
• The romantic ideal of learning – Jean-Jacques Rousseau and his followers argued that children learn best when they interact with nature and engage in real-world experiences, exploration, and discovery. Educators and parents in this tradition believe children are naturally curious and are capable, in the right conditions, of constructing knowledge independently. “This romanticized idea,” says Kirschner, “is deeply ingrained in educational thought and resists empirical challenges.”
• The progressive movement – John Dewey and others inspired a movement holding that learning should be student-centered and driven by children’s natural curiosity and democratic values – and critical of rote memorization and instruction in which students were seen as passive sponges. “These ideas became deeply embedded in teacher education,” says Kirschner. “Terms like ‘guide on the side’ vs. ‘sage on the stage’ were popularized, reinforcing the idea that teachers should step back.”
• Anti-authority sentiment – Discovery learning is allied to cultural and philosophical mistrust of hierarchical control, centralized expertise, and imposed knowledge. Thought leaders like Paulo Freire and Ivan Illich portrayed traditional education as a means of social control, viewing teachers with suspicion and mistrust. “From this perspective,” says Kirschner, “explicit instruction became equated with indoctrination, while discovery learning was seen as a path to emancipation… In this cultural context, discovery learning isn’t just a teaching method. It becomes a symbol of freedom, self-determination, and resistance to authority.”
• Cultural and political appeal – Self-directed learning resonates with the values of independence, creativity, innovation, personal growth, self-reliance, and breaking free of outdated traditions – values that are prized in western societies. This points to repositioning the teacher from authority figure to facilitator, with children constructing their own understanding rather than being told how the world works.
All this explains the continuing appeal of discovery learning, but Kirschner reports that it has not stood up well as researchers have documented what works best in classrooms. Strong empirical evidence, he says, shows that explicit, teacher-guided instruction is better than discovery learning in three ways:
- It’s more effective – students learn more.
- It’s more efficient – it takes less time and mental effort.
- It’s more fulfilling – students feel successful and are motivated to learn more.
Given the research track record, why does discovery learning continue to have so much support? Kirschner offers several explanations:
• Overgeneralizing success stories – It’s true that some students thrive in a discovery-based learning environment, says Kirschner – “especially those who are already highly motivated and have a strong foundation of prior knowledge.” But these students are not representative of the general student population, including many in under-resourced communities.
• Confirmation bias – People tend to favor information that confirms “their existing beliefs, expectations, and assumptions,” says Kirschner, “while ignoring or downplaying evidence that contradicts them.” This can happen when educators see some success with discovery-based approaches, selectively remembering those successes and overlooking things that didn’t work out as well.
• The illusion of understanding – While students are engaged and working hard with discovery learning, it can feel like they’re learning deeply – but they may be reaching incorrect solutions and buying into misconceptions. Students may feel like they “get it” because of the effort they’ve put in, and may be resistant to correction, even if they get timely feedback.
• The constructivist teaching fallacy – It’s true that people learn best by integrating new information into their existing knowledge structures. But when teachers provide only minimal guidance, students may not have enough information to construct coherent knowledge.
• The appeal of active learning – Research shows that active learning enhances retention, but if students use trial and error to solve a problem, they may have no idea how they got there. “Well-guided discovery and explicit instruction can still be highly interactive and engaging,” says Kirschner.
• Treating students as experts – The idea behind discovery learning is that since scientists and other experts work through discovery, students can learn that way too. But experts see the world differently than novices, bringing to bear extensive background knowledge and mental models that guide them as they wrestle with problems. “Scientists do science,” says Kirschner. “Students learn science.”
“Studies in cognitive science,” Kirschner concludes, “consistently demonstrate that students learn best when they’re first explicitly taught foundational concepts before engaging in problem-solving or exploration. Scaffolding and well-designed instructional sequences allow students to explore and apply knowledge meaningfully after they have been given the necessary tools. This doesn’t mean that learning should be passive. Well-designed instruction incorporates active engagement, inquiry, and critical thinking, but within a framework that provides necessary support.”
“The Seductive Appeal of Discovery Learning” by Paul Kirschner, March 30, 2025
In this Annenberg Institute/Brown University report, Elizabeth Huffaker (Stanford University) addresses three much-discussed issues with Algebra I: access, grouping, and supports:
• Access – Algebra I is a key gatekeeper to advanced math coursework, college enrollment, STEM careers, and long-term economic outcomes. Students who are not proficient in Algebra I by the end of 9th grade are less likely to meet college admissions requirements – and the course has the highest failure rate in the first year of high school. To be on track to take Calculus in high school, it’s preferable to take Algebra I in 8th grade, but many students are not ready to be successful in the course at that point.
Whether students take Algebra I in middle or high school is determined by four factors, says Huffaker:
• Grouping – Huffaker shares research on heterogeneous versus homogeneous student grouping. Forming classes based on students’ achievement levels (a.k.a. tracking) enables more-targeted instruction “and can benefit both middle- and high-achieving students,” she says. “But they also tend to widen achievement gaps, increase segregation, and can create negative self-perceptions for students in the lower-achieving class sections.”
There are three additional concerns with homogeneous grouping. Teachers can unconsciously have lower expectations of the lower groups; sometimes less-qualified, less-experienced, and less-effective teachers are assigned to the lower tracks; and there tend to be more classroom management and disruption challenges in low-track classes.
For schools with tracked math classes, the way students are grouped is important. “When schools use recent, multiple measures of achievement, such as predictive placement models or composite readiness scores,” says Huffaker, “and revisit placement decisions regularly, tracking can help ensure students receive instruction at the right level and pace.” High-achieving African-American and Latin students especially benefit from being placed in top math classes.
But rigid tracking that starts in early grades is problematic, reinforcing existing opportunity gaps. And using a single outdated test score, teacher recommendations, or parental pressure can lead to unfair sorting, opportunities denied, and widening achievement gaps.
Mixed-achievement grouping (a.k.a. detracking) has pros and cons, Huffaker reports. Ideally, all students are exposed to the same high expectations, and lower-achieving students will benefit from working shoulder-to-shoulder with higher-achieving classmates, gaining in confidence and motivation.
But this depends on teachers skillfully handling a wide range of achievement, orchestrating group projects, differentiation, use of formative assessments, peer dynamics, and maintaining high expectations for all. Whole-class teaching to the middle is more common, leaving some students under-challenged and others frustrated and falling further and further behind. Detracked math classes have also sparked complaints from parents who believe their high-achieving children are not being sufficiently challenged.
In short, says Huffaker, “effectively supporting a wide range of academic proficiency levels in one classroom requires teachers to have advanced skills, sufficient planning time, and access to strong instructional resources.”
• Supports – “Students learn best at their ‘learning edge’,” she says, “the space between what they can accomplish independently and what they can do with expert support.” The following practices help students get to that sweet spot:
In this article in Middle School Journal, Tye Campbell (Utah State University) and Jordan Green (Utah State Board of Education) report on their study of seven middle-school math teachers in high-poverty schools who consistently got impressive student learning gains. Here are the practices that struck Campbell and Green as they analyzed these teachers’ work in light of research on effective teaching:
• Team planning – Teachers met daily or weekly with colleagues to create lesson plans, design common assessments, anticipate student misconceptions, celebrate successes, and talk through failures. Some of the teachers in the study didn’t have common planning time and had to do their team planning over lunch or after hours. Campbell and Green urge principals to schedule team planning time at least once a week.
• Mapping the curriculum – Teachers worked with their team to decide which math topics were most important and how much time to spend on each one, based on Utah standards, curriculum guides, and RISE assessments.
• Attending to affect – Teachers regularly checked in on students’ emotional wellbeing, including their previous attitude toward mathematics. They explained and advocated for a growth mindset.
• Mixed pedagogy – Teachers used a combination of direct instruction, partner and group problem-solving, peers-helping-peers, and enough time for practice. Some teachers used the traditional I do/you do/we do lesson sequence, others used launch/explore/discuss, with direct instruction coming after students tackled challenging work.
• Whiteboards – Teachers had students solve problems on whiteboards rather than with pencil and paper, and used students’ whiteboard work to check for understanding and fix learning problems in real time.
• Practicing without over-practicing – Teachers had students practice math skills, but kept the number of problems to a reasonable number. In most classes, homework usually took only 15 minutes.
• Data-driven reteaching – Teachers used students’ work on short bellringer problems, class assignments, and unit assessments to decide whether and how to reteach certain concepts. Students scoring below mastery worked in Tier 2 groups.
• Insisting on re-dos – Students had to keep working on assignments until they reached mastery (80 percent). One teacher said, “Falling behind is simply not an option.”
Campbell and Green note that the instructional practices used by these star teachers are not in perfect alignment with common research findings on good teaching. Specifically, the teachers in this study did more direct instruction and had their students do more practice than is recommended by some researchers. “Policymakers might place more emphasis on practitioners’ perspectives when drafting policy documents,” say the authors, “particularly those who demonstrate exceptional success in their classrooms.”
Based on two years studying the classroom impact of generative artificial intelligence, former middle- and high-school English teacher Eric Hudson says, “I have seen nothing to convince me that writing is an obsolete skill, no longer worth learning.” He suggests six core principles:
• Writing matters. Studies show that learning to write well has cognitive, social-emotional, and civic benefits; that’s because it is both rigorous and deeply personal. What matters most for K-12 students, Hudson believes, is the process of composition. He quotes from a 2007 Carnegie Foundation report: “If students are to make knowledge their own, they must struggle with the details, wrestle with the facts, and rework raw information and dimly understood concepts into language they can communicate to someone else.”
• The way we write is changing. Hudson believes we’re in the “post-plagiarism era,” and what’s emerging is a hybrid writing partnership between humans and artificial intelligence. Thinking in terms of preparing students for AI-infused jobs is the wrong approach, he says, because we don’t know what workplace technology will look like even a few years from now. “I think we should be engaging students in AI because of what’s happening now,” says Hudson, “not because of what might happen.”
Right now, students and educators are figuring out how to use AI at every stage of the writing process, including “training AI bots on previous examples of their work, uploading notes and other artifacts to tailor the content of their writing, and using AI-generated feedback to make revisions.” A lot of this is flying under the radar because few schools have thought through what is okay and what needs to be punished or shamed. We must acknowledge that the act of writing is changing, he says, and at the same time uphold its essential value.
• Doing nothing is the riskiest choice. The worst scenario is students submitting work generated by AI and teachers using AI to grade it. If that happens, says Hudson, it’s a sign that students and teachers don’t care much about the work and are willing to settle for mediocrity. That’s most likely to happen if schools don’t have a frank discussion about AI and get the key issues out in the open. The goal: making the best use of low-tech and high-tech strategies so students’ writing is “relational and effortful,” involving “joy and investment,” and teachers are giving high-quality, personalized feedback.
• Having students do their writing in class is not the solution to AI cheating. “I am regularly surprised by the number of writing teachers who have responded to generative AI by simply moving all student writing into class,” says Hudson. “We have spent decades in education trying to move away from the high-stakes, low-validity environments that time-based assessments can create… Moving all writing into class is a pedagogical move that limits both students’ ability to write freely and our ability to assess writing.”
How about using AI detectors to bust students who use bots to do their writing? Hudson believes that won’t work; it will lead to an endless “arms race” with teachers always one step behind ingenious students. The best strategy, he says, is to embrace some truly productive ways to use AI and insist on process, making all the stages of students’ writing “more visible and more explicit, whether or not AI is part of the process.”
• The answer to a technological disruption is not necessarily more technology. The happy medium, Hudson believes, is to keep the focus on assessing student learning, however much they use artificial intelligence. “By insisting on process,” he says, “we give students the responsibility to document their process, compose writing, and reflect on their work.” Some possible steps:
In this Edutopia article, consultant Sarah Kesty suggests a strategy for helping students break long-term assignments and projects into manageable chunks and avoid last-minute stress and missed deadlines:
• Scan and plan – When a multi-step assignment is first introduced, the teacher explains to the class what it’s all about and helps students answer three key questions:
“Why Grading Reform Is Stuck” by Douglas Reeves, Creative Leadership Solutions, July 11, 2024
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About the Marshall Memo
Mission and focus:
This weekly memo is designed to keep principals, teachers, superintendents, and other educators very well-informed on current research and effective practices in K-12 education. Kim Marshall, drawing on 54 years’ experience as a teacher, principal, central office administrator, writer, and consultant lightens the load of busy educators by serving as their “designated reader.”
To produce the Marshall Memo, Kim subscribes to 60 carefully-chosen publications (see list to the right), sifts through more than a hundred articles each week, and selects 5-10 that have the greatest potential to improve teaching, leadership, and learning. He then writes a brief summary of each article, pulls out several striking quotes, provides e-links to full articles when available, and e-mails the Memo to subscribers early Tuesday (there are 50 issues a year). Every week there’s a podcast and HTMI version. Artificial intelligence is not used.
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Core list of publications covered
Those read this week are underlined.
All Things PLC
American Educational Research Journal
American Educator
American Journal of Education
AMLE Magazine
ASCA School Counselor
ASCD SmartBrief
Cult of Pedagogy
District Management Journal
Ed Magazine
Educational Evaluation and Policy Analysis
Educational Horizons
Educational Leadership
Elementary School Journal
English Journal
Exceptional Children
Harvard Business Review
Harvard Educational Review
Independent School
Journal of Adolescent and Adult Literacy
Journal of Education for Students Placed At Risk (JESPAR)
Kappa Delta Pi Record
Kappan (Phi Delta Kappan)
Knowledge Quest
Language Arts
Language Magazine
Learning for Justice (formerly Teaching Tolerance)
Literacy Today (formerly Reading Today)
Mathematics Teacher: Learning & Teaching PK-12
Middle School Journal
Peabody Journal of Education
Principal
Principal Leadership
Psychology Today
Reading Research Quarterly
Rethinking Schools
Review of Educational Research
School Administrator
School Library Journal
Social Education
Social Studies and the Young Learner
Teaching Exceptional Children
The Atlantic
The Chronicle of Higher Education
The Journal of the Learning Sciences
The Language Educator
The Learning Professional (formerly Journal of Staff Development)
The Reading Teacher
Theory Into Practice
Time
Urban Education