EVIDENCE-BASED PRACTICES FOR TEACHING WRITING IN MIDDLE AND HIGH SCHOOL

This brief synthesizes research on how schools and teachers can improve writing instruction for secondary students, a critical but often underemphasized skill linked to academic success, college readiness, and workforce outcomes. It highlights persistent gaps in student writing proficiency, the limited emphasis on writing in many school systems, and the lack of consistent preparation and guidance for teachers. Drawing on decades of research, the brief outlines evidence-based practices that improve students’ writing quality, motivation, and confidence- such as explicit instruction in the writing process, integrating writing across subjects, providing targeted feedback and opportunities for revision, and fostering student motivation and ownership. It also examines emerging research on the role of automated and AI-supported feedback, and identifies common practices that are less effective, such as increasing writing without instructional support or relying on isolated grammar instruction.

We gratefully acknowledge the EdResearch Advisory Board members— Carol Kelly, Corey Jackson, Jessica Nauiokas, Sara Monaco, Rachael Grech-Scott, Megan Conklin, Reyna Sotelo, Shanita Glaspie, Shanna Ricketts, and Sarah Chin—whose expertise as education leaders brought critical, practice-driven insights to guide this brief.

Laura Booker | Vanderbilt University

Christina Claiborne | Annenberg Institute at Brown University

April 2026 | Brief No. 39

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Central Question

How can schools and teachers support evidence-based writing instruction practices that improve student outcomes in secondary schools?

A note on AI: With the rapid rise of generative AI, some may question whether writing skills still matter. However, writing remains a foundational skill for thinking, learning, and communicating clearly. Students must still learn to organize ideas, evaluate information, and express their own perspectives, which are skills AI cannot replace. In fact, as AI becomes more common, strong writing skills may become even more important, as students need to critically evaluate AI-generated text, refine ideas, and use these tools thoughtfully. This brief synthesizes evidence-based strategies for teaching writing effectively, while also highlighting emerging research on how AI can support students’ writing development.

Breaking Down the Issue

Why does writing matter for secondary students?

Writing strengthens students’ ability to think critically, communicate clearly, and construct evidence-based arguments.

  • Critical thinking and reasoning: A large body of research finds that writing helps students analyze ideas and organize their thinking. Writing instruction and writing-to-learn activities have been shown to strengthen students’ ability to evaluate evidence, develop claims, and construct evidence-based arguments
  • Communication skills: Writing also helps students learn to organize ideas logically, use precise language, and adapt their communication for different audiences and purposes. Through drafting, revising, and receiving feedback, students develop the ability to communicate complex ideas clearly and persuasively.
  • Reading and academic performance: Writing about what they read helps students deepen their understanding of academic content. Studies show that writing activities such as summarizing, explaining, and responding to texts can improve reading comprehension and learning across subjects.

College access and success often depend on writing skills, such as coherent and clear expression of ideas and critical thinking.

Writing skills are prioritized in many professional fields, where clear, concise writing is essential for collaboration, reporting, and problem-solving.

What does current writing proficiency and instruction look like?

Fewer than half of U.S. students graduate ready to meet the expectations of first-year college coursework, and deep gaps by race, gender, and income persist.

  • The most recent National Assessment of Educational Progress (NAEP) writing assessment was administered in 2011, in which only 27% of twelfth-graders and 27% of eighth-graders performed at or above the “Proficient” level. In both grade 8 and 12 writing, female students outscored males. Asian, White, and multiracial students perform above average, while Black, Hispanic, and American Indian/Alaska Native students score below average.
  • For the ACT Writing Test (essay portion), the average score in recent years has been around 6-7 out of 12, with White and Asian students averaging 6.4 and 6.8, respectively, and Black and Hispanic students averaging 5.3 and 5.8. This suggests that many students can write a basic, structured response, but may struggle with well-reasoned, evidence-based writing associated with strong college readiness.
  • In 2025, the College Board reported that 39% of SAT takers met or exceeded the Reading and Writing “college-readiness” benchmark.

State middle and high school exams often lack writing components, and students receive little direct teaching on how to write effectively. 

Teachers don’t feel adequately trained to teach writing, likely because preparation programs and the field lack a shared, detailed roadmap for how writing develops.

  • In a national survey, 71% of high school teachers reported receiving either no or minimal formal preparation to teach writing in their teacher preparation program. 
  • In a survey of middle school preservice teachers, nearly two-thirds reported that they did not feel adequately prepared to teach writing, even though they generally valued writing and believed it was important, reflecting a gap in teacher preparation coursework or clinical experience.
  • In the American Teacher Panel survey, 64% of ELA teachers strongly agreed that they knew what good writing instruction looked like, compared to 28% of non-ELA teachers. 
  • There is no widely agreed-upon, detailed national scope and sequence for writing development comparable to what exists in reading (e.g., phonics progressions), and expectations for writing skills often vary across standards, curricula, and grade levels. There is strong agreement on certain instructional principles (e.g., explicit strategy instruction, opportunities for revision), but experts do not yet converge on a single progression model that defines writing instruction across contexts.

Evidence-Based Practices

Decades of research have identified a number of instructional practices that consistently improve students’ writing quality, motivation, and confidence. The practices below highlight the approaches that have the strongest evidence of effectiveness for secondary students.

Explicitly Teach and Scaffold the Writing Process

Explicit instruction in writing strategies, such as how to plan, draft, revise, and edit, leads to substantial improvements in student writing quality and confidence. 

Structured supports, such as prewriting activities, studying strong writing models, and using rubrics, consistently produce meaningful improvements in students’ writing quality.

Extend Writing Beyond the English Classroom

Writing in non-ELA courses improves writing proficiency and content understanding in subjects such as math and science.

Ongoing professional development and collaboration that helps teachers learn how to teach writing strategies and provide targeted feedback can improve the quality and consistency of writing instruction across classrooms.

  • The IES practice guide on teaching secondary writing recommends that teachers receive training in explicit writing strategy instruction, including how to model and teach processes such as planning, drafting, revising, and editing.
  • Collaborative analysis of student work (e.g., scoring using shared rubrics) is a practice supported by research on effective professional learning, and supports teachers to develop common expectations for writing quality and align instruction and feedback across classrooms.
  • The National Writing Project’s College-Ready Writers Program (CRWP) is a multi-year professional development model focused on improving argument writing in grades 7–10. A large, randomized study across 44 high-poverty rural districts found that the program significantly improved student writing quality, particularly in content, structure, and stance demonstrating that well-designed PD can impact student outcomes at scale. CRWP’s effectiveness is attributed to key features of high-quality professional learning: (1) a sustained focus on learning over time with explicit modeling, engagement in, and feedback about pedagogical writing strategie (2) collaboration among teachers and (3) a focus on analyzing student work and applying instructional strategies directly in the classroom.

Provide Actionable Feedback 

Effective teacher feedback is clear about how to improve, focused on a few priorities, given during drafting, and paired with revision opportunities.

When students regularly engage in peer feedback, both those receiving feedback and those giving it revise more deeply, stay more engaged, and develop stronger writing skills.

  • In a meta-analysis, “peer assistance” (including peer feedback, peer planning, and collaborative revising) showed a positive effect on students’ writing, meaning students who worked with peers produced measurably stronger writing than those who worked alone. When students reviewed each other’s drafts, discussed ideas, or collaborated on revisions, they improved across multiple aspects of writing quality (e.g., organization, ideas, and clarity), likely because peer interaction prompts them to explain their thinking, notice strengths and weaknesses in text, and apply feedback in revision.
  • Students who gave and received more peer feedback were more likely to revise their drafts, and the number and depth of revisions were linked to stronger writing on future assignments, not just improvement on the current paper. This suggests that regularly sharing work and engaging with others’ writing helps build transferable writing skills over time. Additionally, this study found that providing feedback to peers was also directly linked to improved writing ability, likely because it helps students internalize what strong writing looks like by analyzing others’ work. 

Automatic feedback generated by rule-based or algorithm technology systems can save teachers’ time and improve students’ writing, especially regarding grammar and readability. 

  • Automated writing feedback tools work by comparing student writing to built-in linguistic rules or models trained on large samples of text. When a student submits writing, the software quickly scans the text and generates feedback that can help students identify errors, revise sentences, or strengthen parts of their writing. Common tools are ETS Criterion, MY Access!, and WriteToLearn. 
  • Research suggests that automated feedback tools can lead to small but positive improvements in writing, particularly when used to support revision and self-correction. Studies of Automated Writing Evaluation systems have found improvements in writing quality and scores on state writing assessments, especially in areas such as grammar, mechanics, and readability. However, these tools are generally most effective when used alongside teacher feedback, rather than replacing it. 

AI-generated feedback can produce small improvements in revision and boost students’ motivation, but it rarely supports deeper skills like reasoning,  interpretation, and argumentation—areas most closely tied to long-term writing growth.

  • AI-generated feedback uses large language models (LLMs), like ChatGPT can to analyze text and then generate contextual, adaptive responses. A randomized study found that LLM-generated feedback led to modest improvements in essay revision and increased students’ motivation and positive emotions about writing compared to revising without feedback
  • However, a recent qualitative study found that although LLM feedback provided surface-level revision guidance, it did not help students develop their thinking. By contrast, teachers more often provided feedback that builds thinking, such as asking questions that prompted students to clarify purpose, strengthen reasoning, and reconsider ideas. In content-area writing, teachers also grounded feedback in disciplinary knowledge, whereas LLMs offered suggestions that were not well connected to disciplinary thinking.
  • LLMs are not yet reliable substitutes for high‐stakes scoring of writing quality. A study that compared LLM and traditional machine‐learning (ML) methods for scoring student essays (4th-7th grade and 10th grade) found that ML methods did a much better job at predicting human scores of overall writing quality

Foster Motivation and Self-Efficacy

Students are more motivated and produce higher-quality writing when instruction builds their confidence through goal-setting, self-monitoring, and visible progress.

  • Writing motivation is a strong predictor of writing success. Across dozens of studies, students with higher self-efficacy, more positive attitudes, and greater value for writing consistently produce higher-quality work.
  • Practices like goal-setting, self-monitoring, and guided revision improve motivation by making progress visible and achievable. When students have clear, specific targets (e.g., improving evidence or transitions), writing feels more manageable and builds a sense of control.
  • Combining explicit writing instruction with self-regulation strategies (e.g., goal-setting and self-monitoring) leads to greater gains in both writing quality and students’ confidence compared to instruction alone.

Students are more engaged and persistent in writing when they experience positive feedback, collaboration, and opportunities for choice and authentic expression.

Practices to Avoid

Increasing the amount of writing students do without direct instruction or feedback can lead them to repeat the same mistakes and, ultimately, to minimal improvement.

  • A consistent finding across studies is that simply increasing how often secondary students write, without changes to instruction or support, does not lead to meaningful improvements in writing quality or related outcomes.
  • Writing tasks that prioritize quantity may encourage students to rush through assignments, neglecting the deeper cognitive processes involved in good writing, such as organizing ideas logically, choosing precise language, or revising for clarity. To improve writing quality, instruction must emphasize the importance of thoughtful planning, careful revision, and attention to detail​. 
  • In a randomized study of secondary English students, students receiving little substantive feedback did not show significant writing improvement compared to those with structured feedback.

Formal, isolated grammar instruction has little impact on student writing and can even negatively affect student writing by taking time away from more helpful writing instruction and activities.

When feedback is overwhelming, unclear, or very delayed, students are less likely to engage with it


This EdResearch for Action Project brief is a collaboration among:

Funding for this research was provided by the Bill & Melinda Gates Foundation. The findings and conclusions contained within are those of the authors and do not necessarily reflect positions or policies of the foundation.

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