Moschkovich, Judit N. "Academic Literacy in Mathematics for English Learners." Journal of Mathematical Behavior, vol. 40, Elsevier, Dec. 2015, pp. 43–62. DOI: 10.1016/j.jmathb.2015.01.005.
This is a peer-reviewed theoretical framework paper published in the Journal of Mathematical Behavior — which means the intended audience is mathematics education researchers and graduate students who already fluent in sociocultural learning theory. It's not a practitioner guide. Moschkovich is talking to people who already know what Vygotsky, Lave and Wenger, and Gee mean when they show up in a bibliography.
It uses:
The vibe: This feels like a very well-organized conference keynote written down. Big framework, careful distinctions, one extended example to anchor everything. Think "respected scholar making the case for a paradigm shift" rather than "someone teaching you how to run a lesson."
What it glosses over: Moschkovich argues powerfully for the integrated ALM framework and against deficit views, but the paper stays almost entirely at the theoretical and descriptive level. There's no discussion of how you actually train teachers to see ALM in action, how you assess it without replicating the deficit move she critiques, or what happens when the demands of standards-based accountability run directly counter to the participation-based vision she describes. The classroom example is rich but was selected for illustrative purposes — she explicitly says it wasn't chosen for representativeness, which a careful reader should note.
Imagine this:
A few centuries of undisturbed growth. Old-growth forest doesn't look like a plantation — there's no single row of trees doing one job. There are canopy giants, mid-story trees, fallen logs decomposing into soil, root networks laced through everything, fungi feeding nutrients between species, birds whose foraging creates the gaps that let seedlings reach light. Remove any one layer and the whole system shifts. The diversity is not decoration. It's the mechanism.
A student speaking mathematics in this ecosystem is not transmitting vocabulary. She's participating in the whole thing — the concepts, the practices, the discourse — all at once, even when she's using informal language, even when her English is imperfect. Precision lives in the network, not in any one word.
Here's the move schools make constantly with English Learners in math class: strip the language down. Vocabulary lists. Word walls. Sentence starters like "I know the answer is ___ because ___." The thinking goes: students need language before they can do math, so let's isolate the language piece and teach it first, then add the math back in. It seems logical. It's also, Moschkovich argues, fundamentally backwards — and actively harmful.
Moschkovich's Academic Literacy in Mathematics (ALM) framework says that language instruction and mathematics instruction are not separable. Strip the mathematical practices out and you've removed the very context that gives mathematical language its meaning. Strip the mathematical discourse out and you've cut students off from the social processes through which mathematical understanding is built. What you're left with isn't a simpler version of mathematics. It's a distorted version that teaches neither language nor mathematics well.
Moschkovich defines Academic Literacy in Mathematics as the integration of three components that cannot be separated in instruction or assessment without damage to all three:
1. Mathematical Proficiency — Moschkovich draws on Kilpatrick et al. (2001)'s five intertwined strands:
Schools routinely collapse "mathematical proficiency" into only #2 — procedural fluency with arithmetic. Moschkovich argues all five strands are essential, and that ELs are especially harmed when instruction is reduced to computation drills.
2. Mathematical Practices — Moschkovich draws on NCTM Standards and the Common Core State Standards (CCSS) for Mathematical Practice, which describe eight practices that mathematics educators should develop in students:
Mathematical practices are culturally organized, semiotic activities. They involve social membership — participating in the way mathematicians (and students in reform classrooms) work together. And critically: many of them are discursive. You can't practice "construct viable arguments and critique the reasoning of others" in silence.
3. Mathematical Discourse — This is the component most often reduced to "vocabulary" in school practice, and Moschkovich spends the most time correcting this reduction. Mathematical discourse is not principally about formal vocabulary. It involves:
The "I went by twos" classroom transcript is her proof of concept: two bilingual students and a teacher have an extended mathematical discussion using exclusively informal language. Nobody says "scale," "ratio," or "unitizing." But the discussion involves real conceptual content (unitizing — the cognitive assignment of units to segments on an axis), real mathematical practices (constructing arguments, attending to precision at the discourse level), and real mathematical discourse (coordinating utterances with views of inscriptions). Strip the vocabulary test on "scale" and you've measured nothing of what actually happened in this room.
Moschkovich makes a targeted distinction between "academic language" (the phrase most schools and curricula use) and "Academic Literacy in Mathematics." The problem with "academic language" in most implementations is that it reduces mathematical communication to words: teach students the formal terms, assume that fixes the language problem, move on. This approach has three specific failures:
Her example: CCSS Practice #6, "Attend to precision." Schools often implement this as "use the correct formal vocabulary." But precision in mathematics is a discourse-level phenomenon, not a word-level one. The claim "multiplication makes bigger" is imprecise not because the word "bigger" is informal, but because the claim doesn't specify when it applies. The precise version — "multiplication makes the result bigger, only when you multiply by a positive number greater than 1" — uses equally informal words. Precision lives in the claim structure, not in individual word choice. Requiring formal vocabulary in the name of precision is actually teaching students a wrong model of what mathematical precision means.
Moschkovich is consistently, carefully critical of deficit-oriented frameworks. A sociocultural perspective, she argues, shifts the focus "to the potential for progress in what learners say and do, not on learner deficiencies or misconceptions." This is not just a philosophical preference. It has direct instructional consequences.
When you frame ELs as language-deficient, you position their imperfect English as a problem that has to be fixed before real mathematical work can happen. But research (including Moschkovich's own longitudinal work) documents repeatedly that ELs can participate in complex mathematical discussions while still learning English — using gestures, objects, home language, informal phrases, all of which carry real mathematical content. A student who uses informal language to make a mathematically correct claim is not showing a deficiency. She is demonstrating exactly the situated, hybrid, multi-resource character that the ALM framework predicts as normal.
The practical implication: instruction for ELs should not lower cognitive demand in the name of language access. Reducing tasks to computation or vocabulary matching actually takes mathematics away from students who most need access to all five strands of proficiency.
Carlos and David are eighth-grade bilingual students comparing two coordinate graphs they drew for homework. Their graphs look different even though they plotted the same data. The discussion: why? They're using the phrase "I went by twos / fives / ones" — a phrase native to this particular classroom — to describe the scale intervals on their axes. The teacher uses the same phrase but with a different meaning. Three participants, one phrase, three distinct situated meanings. The discussion lasts several minutes, involves mathematical argument, conceptual reasoning about unitizing, and negotiation of competing claims. Not one formal mathematical term appears until near the end, when the teacher says "two and a half."
This is Moschkovich's evidence that mathematical discourse is inherently hybrid and situated — drawing simultaneously on everyday register and academic register, coordinating utterances with focus on inscriptions (the actual graphs), and constructing meaning socially rather than retrieving it from a dictionary.
Here's the move MASL inherits from this paper: Moschkovich argues that the ALM framework matters for all mathematics learners, but is essential for ELs. This matters for MASL's audience claim. If algebraic notation language is part of mathematical discourse (which ALM says it is), and mathematical discourse is part of mathematical literacy for everyone (which ALM says it is), then MASL isn't "ESL support for math class." It's mathematical literacy instruction that happens to be especially visible as a need for students who don't yet have the conventional spoken forms — which, as the Baseline Language Assessment demonstrates, includes most students, not just multilingual ones.
Strong for theoretical framing; limited for effect-size claims. Moschkovich's evidence base is observational and case-study based — the paper analyzes one 90-second classroom transcript selected for illustrative purposes, explicitly not for representativeness. This is appropriate for theoretical framework development, but cannot support claims about effect sizes or efficacy. The ALM framework is widely cited, deeply influential, and published in a peer-reviewed mathematics education journal (Journal of Mathematical Behavior). It provides the strongest available theoretical grounding for MASL's core claim that notation-language instruction is mathematics instruction. However, for empirical support of MASL's design choices, Ke & Newton (2024), Barbieri et al. (2023), and Mercer & Sams (2006) carry the quantitative weight that Moschkovich cannot.
Copy-paste ready quotes for papers, discussions, and reflections.
What it is: The National Research Council's landmark synthesis of mathematics education research, introducing the five-strand model of mathematical proficiency. Tone: Dense but accessible committee report. Why it matters: The five-strand framework is the backbone of Moschkovich's Component 1; if you cite ALM, someone will ask you to explain the proficiency model. Buzz: Thousands of citations; standard reference in every math ed paper since 2001. Verdict: Skim the five-strand chapter (Ch. 4) — it's exactly what Moschkovich describes and worth having read directly.
What it is: The CCSS-M document, including the eight Standards for Mathematical Practice that Moschkovich cites as her source for mathematical practices. Tone: Policy document — flat and list-based. Why it matters: If you're working in any US secondary school context, these eight practices frame what "doing mathematics" officially means. Buzz: The most-cited K-12 curriculum document in US education since 2010. Verdict: Read the eight practices (first 2 pages of the Standards for Mathematical Practice section) and no more. The rest is content standards.
What it is: Gee's foundational text on Discourse analysis (capital D), from which Moschkovich draws her analysis questions and the broader definition of Discourse as involving not just language but images, equations, gestures, and social positions. Tone: Theoretical, accessible for linguists but dense for math educators. Why it matters: Provides the intellectual framework that lets Moschkovich call oral discussion a "literacy practice." Buzz: Highly cited across literacy studies, education research, and applied linguistics. Verdict: For researchers only unless you want to understand why Moschkovich capitalizes "Discourse."
What it is: Halliday's description of the "mathematics register" — the set of meanings, structures, and vocabulary specific to mathematics as a discourse community. Tone: Dense sociolinguistics. Why it matters: The foundational text for understanding why mathematical language is treated as a register rather than just vocabulary — directly relevant to MASL's claim about algebraic notation as a register with its own conventions. Buzz: Foundational; cited in nearly every paper on mathematical language. Verdict: Worth finding and reading the relevant pages — it's short and gives you the intellectual lineage of the "mathematics register" concept.
What it is: The book that introduced "communities of practice" and "legitimate peripheral participation" to education research — the theoretical backbone of participation-based views of learning. Tone: Accessible theoretical text. Why it matters: Moschkovich's use of "participation in practices" as the unit of learning is grounded here. Buzz: One of the most-cited education research texts of the last 40 years. Verdict: Worth reading Ch. 1-2 if you want to understand why sociocultural theorists frame learning as participation rather than acquisition.
What it is: The earlier, longer analysis of the same classroom transcript analyzed in this 2015 paper — the "I went by twos" discussion. Tone: Accessible research article with full transcript. Why it matters: If you want to understand the transcript analysis in depth — including the full analysis of each participant's meanings and how the discussion resolved — this is the source. The 2015 paper only has space for excerpts. Buzz: Widely cited in mathematics education and language-in-mathematics research. Verdict: Read it alongside this paper — it fills in everything the 2015 version abbreviates.
What it is: Sfard's commognition framework — the argument that mathematical thinking and mathematical discourse are not separate phenomena but two aspects of the same thing. Tone: Demanding but rewarding theoretical text. Why it matters: The closest theoretical relative to ALM; where Moschkovich grounds ALM in community of practice theory, Sfard grounds the same inseparability thesis in cognitive science. MASL needs both. Buzz: Highly cited and influential in mathematics education and learning sciences. Verdict: Essential for MASL — read at least the introduction and Chapter 1.
What it is: The Math Language Routines (MLR) framework — eight structured routines for integrating language and content development in mathematics, used in the Illustrative Mathematics curriculum. Tone: Practitioner-accessible framework document. Why it matters: This is the practitioner operationalization of what Moschkovich describes theoretically — ALM principles translated into classroom structures. MASL activities live in the same intellectual ecosystem. Buzz: Widely adopted by math curriculum developers after IM curriculum adoption. Verdict: Required reading for MASL — this is your connection to classroom implementation.
Six conceptual questions — test your understanding of ALM, not your memorization of definitions.
1. Moschkovich argues that separating "academic language" from mathematical practices and proficiency is dangerous. What is the most direct consequence she identifies for English Learners?
2. In the "I went by twos" transcript, Carlos, David, and the teacher are all using the same phrase with different meanings. What does this illustrate about mathematical discourse?
3. Moschkovich says "Attending to Precision" (CCSS Practice #6) should not be interpreted as "using the perfect word." What does she argue precision actually means in mathematical practice?
4. Moschkovich argues that focusing instruction for ELs on vocabulary is counterproductive. Which of these correctly captures her argument about what vocabulary-focused instruction actually does to student learning?
5. For MASL's Baseline Language Assessment, ALM raises a tension: Moschkovich argues against deficit views, but a diagnostic instrument necessarily measures what students can't do yet. How does ALM's framework actually help resolve this tension?
6. ALM was developed primarily through research with bilingual and multilingual students. What is the most important question to ask before extending ALM's claims universally — to all students regardless of language background?
Drag each term or framework element to its correct description. Cards are shuffled on load.