Abstract
Emerging multilingual students can develop the dimensions of Academic Literacy in Mathematics (ALM) in classroom discussions. But, there is a need for empiricallyvalidated principles for fostering such discussions. This research used ALM as a framework to create a unit of instruction on linear rates of change for ninth grade mathematics in which multilingual students benefit from discussions. Projectspecific design principles are presented along with qualitative analysis of classroom discussions from each phase of the project. The results illustrate how discussions in the redesigned lessons contributed to developing the interrelated dimensions of ALM among multilingual learners. The work concludes with a discussion of how the projectspecific design principles can serve as a framework for fostering discussions in other multilingual secondary mathematics learning environments.
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1 Introduction
Many emerging multilingual students in US secondary schools have limited opportunities to learn gradelevel mathematics. Secondary students classified as English Learners^{Footnote 1} (ELs) are often “enrolled in lowtrack curricula with limited exposure to either the content or discourse necessary to enter into higher education” (Callahan, 2005, p. 321), which causes educational inequities for such students (Gándara & Contreras, 2009). The Academic Literacy in Mathematics (ALM) framework provides a lens for both analyzing language demands of school mathematics and for designing learning environments in which emerging multilingual students can learn gradelevel mathematics (Moschkovich, 2015). One way to develop ALM is through fostering classroom mathematical discussions (Moschkovich & Zahner, 2018). The potential utility of mathematical discussions, and the relative lack of discussions in US secondary mathematics classrooms serving multilingual learners, highlights a need for research on designing mathematics learning environments where emerging multilingual students can benefit from discussions.
1.1 Academic literacy in mathematics
Over the past 20 years, research on language in mathematics has expanded beyond a focus on word problems to include the lexical, syntactic, and discursive aspects of language in school mathematics (Barwell et al., 2017). The ALM framework follows this expansion and includes three interrelated dimensions under the umbrella of academic literacy: (a) developing mathematical proficiencies, (b) engaging in mathematical practices, and (c) participating in mathematical discourse (Moschkovich, 2015). Mathematical proficiencies are forms of expertise, knowledge, and facility for doing mathematics (National Research Council, 2001). In the US context of this research, many emerging multilingual learners experience remedial mathematics classes focused on learning procedures (Kanno & Kangas, 2014), limiting their opportunities to develop other proficiencies such as adaptive reasoning or conceptual understanding. Mathematical practices are culturally organized and socially mediated mathematical activities, such as problem solving, modeling, and proving. Policy documents such as the Common Core State Standards for Mathematics envision students engaging in mathematical practices while learning facts, concepts, and procedures (NGACBP & CCSSO, 2010). Finally, mathematical discourses are ways of using language and other semiotic tools to signal membership within a broader mathematical community (Moschkovich, 2002). The dimensions of ALM are intertwined in teaching and learning (Moschkovich & Zahner, 2018).
1.2 Research aim
One format for developing the interrelated strands of ALM in multilingual classrooms is mathematical discussions (Moschkovich & Zahner, 2018). In the following, we present results from a design research effort with the aim of developing ALM in multilingual secondary mathematics classrooms through fostering mathematical discussions. As illustrated in Fig. 1, the dimensions of ALM framed data analysis, the projectspecific design principles, and the unit/lesson designs. While there is a growing body of descriptive research on language in mathematics, this study fills a gap in the field since there is still relatively little design research on fostering mathematical discussions in multilingual classrooms (Erath et al., 2021). The empirical part of this paper will address the following research questions:
RQ1: How was student participation in discussions supported by the lesson design features?
RQ2: How was the development of ALM among multilingual students supported by student participation in discussions?
2 Literature review
A substantial body of research investigates the importance of language(s) in mathematics learning (reviewed in, e.g., Barwell et al., 2017; de Araujo et al., 2018). Below we review findings from two subsets of this literature related to ALM: (a) research on discussions in mathematics classrooms, and (b) design research focused on multilingual mathematics classrooms.
2.1 Discussions in mathematics classrooms
Students, including emergent multilingual students, can learn mathematics by engaging in classroom discussions (Erath et al., 2018; Gutiérrez, 2002; Moschkovich, 1999; O’Connor, et al., 2015). One beneficial form of discussion occurs when classroom members engage in sustained dialogue about mathematical concepts, meanings, and procedures. For example, O’Connor (2001) analyzed a discussion in which fifthgrade students debated whether “any fraction can be turned into a decimal” (p. 144). Through discussion, students developed mathematical understandings while engaging in collective argumentation, illustrating the interplay of learning mathematical practices and content (Moschkovich, 2015). In contrast with the discussion in O’Connor (2001), most traditional mathematics classroom talk follows an InitiationResponseEvaluation (IRE) pattern (Cazden, 2001; HerbelEisenmann et al., 2013), which is characterized by the teacher asking knownanswer questions, students answering, and the teacher offering evaluations. In an experimental study, O’Connor et al. (2015) compared student learning in a traditional class taught using IRE discourse to student learning in a more authentic discussionbased class about the same content. They showed that discussionbased teaching led to improved student learning outcomes as measured by a curriculumaligned assessment.
Moschkovich (1999) argues that, with appropriate scaffolding, such authentic mathematical discussions can be beneficial for emerging multilingual students. Particularly, discussions provide a venue where emerging multilingual students can develop the dimensions of ALM (Moschkovich & Zahner, 2018). Since IRE is the default mode of classroom discussion, and most emergent multilingual students experience lowtrack classes characterized by lowlevel discussions (Callahan, 2005; Kanno & Kangas, 2014), efforts to transform patterns of talk in multilingual secondary mathematics classrooms will require intentional designs and appropriate teaching practices. Additional research is needed to create an empirical basis for the use of specific design principles and teaching practices (Erath et al., 2021).
2.2 Interventions and design research in multilingual settings
Recent interventionist research focused on language and mathematics highlights that students’ mathematical conceptual development is inextricably linked to their development in the use of language(s), semiotic resources, and discourse practices. For example, Chval et al. (2014) collaborated with elementary teachers to unpack the language demands while planning mathematics lessons for multilingual elementary students. They noted that for emergent multilingual students, it was critical that teachers support students to overcome the nonmathematical language demands of problem contexts in order to benefit from conceptually focused mathematics curriculum materials. Prediger and Zindel (2017) delved deeper into the link between mathematics and language and explicated the conceptual facets of understanding functional relationships. They developed a model connecting mathematical conceptual learning processes in the domain of function (unfolding and compacting) to corresponding languagerelated learning processes (decomposing and condensing).
In some prior research on language and mathematics, mathematics development goals and language learning trajectories have been considered separately (Wylie et al., 2018). Yet, due the inextricable link between conceptual and linguistic development, a design heuristic arising from recent interventions is that instructional designers should integrate language development goals and mathematical learning goals (Pöhler & Prediger, 2015; Prediger & Zindel, 2017). For example, Pöhler and Prediger’s (2015) study of integrated learning trajectories for understanding percentages used such an approach. The connected mathematical and language development goals were supported by macroscaffolding of language as well as the use of carefully chosen semiotic resources (e.g., percent bar diagrams) to support reasoning. Building upon the researchbased call for integrating language and mathematics, we used ALM as a design and analysis framework. ALM is especially apt because it aligns with the situated sociocultural theoretical perspective, described next.
3 Theoretical background
The overarching theoretical framework for this work is a situated sociocultural perspective on learning, where learning mathematics includes appropriating problemsolving tools (Wertsch, 1991), developing engagement in practices (Moschkovich, 2007), and participating in disciplinary discourses (Forman, 1996). This theoretical perspective is reflected in our design effort via the ALM framework (Moschkovich, 2015). With its focus on proficiencies, practices, and discourse, ALM integrates aspects of academic literacy that are traditionally viewed from more cognitive perspectives (e.g., proficiencies such as understanding mathematical concepts and procedures) with aspects of literacy that are more sociocultural and discursive (e.g., participation in mathematical practices and discourse). This view of literacy in mathematics shifts from limited views of (academic) language as vocabulary to a sociocultural perspective of academic language where meanings are situated in the practices and discourses of the mathematics classroom (Moschkovich, 2015; Moschkovich & Zahner, 2018). Importantly, this reconceptualization of language can position the language(s) of multilingual students who do not yet know the mathematical vocabulary in the language of instruction as resources rather than deficits (Moschkovich, 2013).
4 Methods
4.1 Methodological framework: design research
Design research (DR) is an iterative methodology where researchers purposefully design a learning environment, explore phenomena that emerge as a result of the design, and refine the design for future iterations while at the same time developing local theories (Cobb et al., 2003; Prediger et al., 2015). This interventionist approach was necessary for this investigation because mathematical discussions are relatively rare in US classrooms serving English learners (Callahan, 2005) and thus unlikely to arise spontaneously. In this project, each design cycle included: (a) collecting data during observations of a unit of instruction (a sequence of topicallyrelated lessons), (b) analyzing the observation data, (c) redesigning the unit, and (d) observing teaching and learning interactions in the redesigned unit. Research occurred in two cycles (Fig. 2), and the design team included universitybased researchers as well as teachers from the research site.
We report on the redesign of a curriculum unit introducing the slope of linear functions. At the school research site, the topic of slope was introduced once per academic year in ninth grade. Thus, the design cycles spanned multiple academic years to fit the school’s yearly curriculum sequence. In the first design cycle, the researchers observed the teachers as they taught the unit introducing slope without intervention (Phase I in Fig. 2). For the purpose of triangulating data from classroom observations (Miles et al., 2014), the researchers conducted taskbased interviews with students and collected preunit and postunit written assessments (which are analyzed elsewhere). At the end of Phase I, the researchers and teachers met to reflect on the data and redevelop the unit with the goal of developing the dimensions of ALM. Through this reflection process, the project design principles (Sect. 5) were first developed. The new unit was pilot tested in an afterschool teaching experiment (Phase II in Fig. 2). Most of the teaching experiment lessons were taught by a researcher, but the seventh lesson of Phase II was taught by a collaborating teacher. We engaged in another cycle of reflection and redesign between Phases II and III as the unit was prepared for use during the regular school day.
4.2 Setting and data sources
This paper analyzes class discussions from three lessons recorded in ninth grade integrated mathematics classes at City High,^{Footnote 2} a linguistically diverse, urban high school located near the USMexico border. City High was chosen to situate this research in an environment reflective of the inequitable educational experiences of students from racial, ethnic, and linguistic minorities in the US (Gándara & Contreras, 2009). At City High, 77% of students were identified as Latinx, 12% Asian, 7% African American, and 4% other. About 89% of students were from lowincome families. Thirty percent of all students at City High were classified as ELs.
This analysis focuses on classroom observation data, which included field notes, video recordings, transcripts of verbal interactions, and images of student work. In other papers, we present analyses of results from the written assessments (Zahner et al., 2020). In the present analysis, we focus on three classes taught by Mr. S, a teacher at City High. Multiple teachers joined the project across all three phases, but Mr. S was the only teacher who participated across all phases of the project (“teacher turnover” is a common problem in US schools). Mr. S was certified to teach secondary mathematics and had six years of experience at the start of the study. He spoke Spanish and English and identified as Latinx. He mostly used English in class, but he used Spanish when interacting with students individually or in small groups.
4.3 Focal lessons: selection and summary
In Sect. 6, we compare excerpts selected from one lesson from each phase. The Phases I and III focal lessons were chosen because they addressed the same content and were taught later in the unit. Although the topic was different, the Phase II focal lesson was chosen because it was also taught by Mr. S, keeping the teacher consistent across phases. Each observation was summarized in a structured form describing the lesson content, sequence of activities, and transitions, along with ethnographic fieldnotes and researcher reflections (Miles et al., 2014). These structured summaries were used when selecting lessons and excerpts for deeper qualitative analysis. Table 1 provides an overall summary of data for each phase, as well as details about the focal lessons.
4.4 Ethnographic discourse analysis
The analysis of classroom interactions in this study is rooted in ethnographic discourse analysis (Gee & Green, 1998). Ethnographic discourse analysis seeks to uncover how social and cultural processes are created through discourse, and, in turn, how discourse reflexively shapes social and cultural processes (Schiffrin, 1994). Gee and Green (1998) propose both an analytical framework and guiding questions for such discourse analysis. Specifically, they suggest examining the material, activity, semiotic, and sociocultural dimensions interactions. Moschkovich and Zahner (2018) adapted these foci in articulating a set of analytical questions focused on the dimensions of ALM (see Table 2).
In Sect. 6, we present qualitative analyses of excerpts of classroom interactions from each phase of the design research. Within each selected focal lesson, we used the field notes and structured summaries together with the analysis questions in Table 2 to identify moments where the talk and interactions reflexively related to the dimensions of ALM. Specifically, we identified moments in which the central mathematical focus of each lesson (proficiencies) was highlighted during the wholeclass discussion. Next, we annotated the excerpts and added comments to unpack how the dimensions of ALM were relevant to the excerpt. In relation to proficiencies, we asked, what evidence is there that the interaction focuses on applying a known procedure versus developing a conceptual understanding of the topic? In terms of mathematical practices, we asked, what evidence do we see of students using disciplinary practices (e.g., explaining, justifying, modeling) or practices associated with school mathematics (e.g., producing answers)? Finally, we focused on disciplinary discourse (e.g., looking for evidence of dialogue, authentic questions, and use of disciplinary terminology) or school discourse practices (e.g., IRE sequences, and the use of school mathematics terms like “rise over run”). For example, in Excerpt 1, we noted the teacher and students used IRE patterns of discourse and focused on applying a formula. This is contrasted with the dialogue in Excerpt 2 where the teacher and students asked more authentic questions of each other and generalized a process.
5 Design principles and overview of redesigned unit
5.1 Design principles
We developed three design principles (DPs) across the phases of this work:
DP1: Use a primary conceptual focus across the unit and carefully choose problem contexts that support the conceptual focus,
DP2: Integrate language goals linked to mathematical content goals,
DP3: Incorporate discourse supports.
While other works have developed additional design principles (Erath et al., 2021), these three principles were most relevant to our goals of promoting discussions in multilingual classrooms and developing the dimensions of ALM. In Table 2, we show how the design principles related to the dimensions of the ALM framework, the corresponding analytical question(s), and our rationale for the principle. Note that the dimensions of ALM are interdependent, thus Table 2 refers to the “Primary Related Dimension of ALM.” We do not claim a onetoone correspondence between design principles and the dimensions of ALM.
5.2 Illustration of design principles in unit, lesson, and task designs
5.2.1 Preintervention
The Phase I unit on slope introduced three different meanings for slope: slope as steepness, slope as rate of change, and constant slope as a defining property of collinear points. The text included more than 10 distinct problem contexts to introduce slope. Most Phase I lessons started with a “warm up” exercise followed by the main lesson. The teachers taught the main lesson through lecture and wholeclass discussion. Next, the teachers modeled how to solve related exercises. Each lesson closed with a summary and exercises for the students to solve independently. Students occasionally used handheld calculators, but no other technologies were used. There were few tasks with prompts for students to engage in discoursefocused mathematical practices such as explaining or justifying.
Analyzing the Phase I data in relation to the dimensions of ALM revealed strengths and areas for growth. In terms of mathematical proficiency, the unit succeeded in developing students’ procedural fluency calculating slopes. Other forms of proficiency such as conceptual understanding and adaptive reasoning (e.g., problem solving) were not clearly evident. The Phase I unit did not provide many opportunities for students to develop mathematical practices such as making sense of a problem before learning a procedure or modeling real life data. Finally, in relation to the ALM dimension of discourse, throughout this unit, most student talk was done in teacherled wholeclass discussion. Students verbally responded to knownanswer questions in IRE discussions and had limited opportunities to rehearse the wide variety of mathematical discourses in varied participation formats, such as small group discussions or in presentations to the class.
5.2.2 Unit redesign
After Phase I, a redesigned unit was created to improve opportunities for students to develop the dimensions of ALM. In terms of proficiencies, a critical focus in designing lessons for ELs is developing conceptual understanding alongside procedural fluency (Moschkovich, 2013; Moschkovich & Zahner, 2018). Thus, as noted in DP1, the redesigned unit had one primary conceptual focus: understanding slope as a rate of change (Lobato et al., 2010; Thompson, 1994). Relatedly, few problem contexts were used to decrease conceptirrelevant linguistic demand and support the conceptual focus (Chval et al., 2014). The redesigned unit was built around stories of distancetimespeed relationships, and used dynamic representational technology (Zahner et al., 2012) to support student engagement with problem contexts.
For example, one lesson, Generalizing Same Speed Waks, focused on a character, Emma, chasing an ice cream cart moving at a rate of 10 thousand feet every 6 min (ice cream vendors are a common sight near City High). To get ice cream Emma needed to move at the same speed as the cart. Students used a digital simulation (Fig. 3) to input and test combinations of time and distance that would make Emma move at the same speed as the ice cream cart. Then, the teacher facilitated a discussion synthesizing methods students used to solve the problem (see Table 4 below).
All of the redesigned lessons included mathematical language goals^{Footnote 3} that focused on engaging students in mathematical practices such as generalizing, describing procedures, and justifying claims. Consistent with DP2, the language goals focused on specific mathematical practices that supported each lesson’s mathematical goals. Many mathematical practices are not exclusively realized in verbal language. However, given this project’s focus on promoting ALM through engaging students in discussions, we highlighted languageintensive practices in these goals. Figure 4 shows the goals for the Generalizing Same Speed Walks lesson which targeted the practices of quantitative reasoning and generalizing. Importantly, students were not given formulas to apply. Instead, students were expected to explore a model, attend to the relationships among distance time and speed embedded in the given mathematical problem, conceptualize that relationship, and subsequently generalize and describe a process for calculating same speed walks.
Finally, to promote broad student engagement in mathematical discourse, the redesigned lessons incorporated discourse supports (DP3), such as (a) alternating wholeclass and smallgroup discussions, (b) integrating mathematical language routines (MLRs; Zwiers et al., 2017), and (c) using technology and dynamically linked representations (Zahner et al., 2012). The MLRs are a tool set of adaptable structures, distilled from prior research, designed to amplify, assess, and develop students’ language. For example, in a Collect and Display MLR (briefly defined in Fig. 4), a teacher asks openended questions in order to solicit and publicly display studentgenerated language. This public display then becomes a shared support for studentgenerated talk. Connecting to the recommendations in Moschkovich & Zahner (2018), the discourse supports were intentionally chosen to vary the texts, modes, and interaction formats used by the students.
6 Qualitative analysis and results
A primary goal of this work was to develop ALM through classroom discussions. Here we illustrate how discussions supported the development of ALM across each project Phase. The topic of the Phases I and III focal lessons was average rates of change. The Phase II lesson (which was chosen because Mr. S taught it) was about generalizing same speed walks.
6.1 Average rate of change in Phase I
The Phase I class on average rates of change occurred after lessons on calculating the slope of lines using “rise over run.” As usual, the class started with a review of procedural problems. Then, Mr. S posted two goals: (a) “students will review or learn the property of speed and slope as a rate of change” and (b) “students will calculate the average speed between two points on a distancetime graph.” The lesson then followed the traditional sequence of teacher presentation, wholeclass practice, and individual practice (Lampert, 1990). In Table 3, we illustrate a brief moment of interaction that was typical of the Phase I lessons. In this excerpt, Mr. S led the class through a series of questions to find the speed during the first segment of the graph in Fig. 5. Underlined words and comments in each transcript are used to highlight mathematical proficiencies, practices, and discourse, aligning with the dimensions of ALM.
This lesson had strengths insofar as Mr. S had a clear goal linked to gradelevel curricular expectations. He also made efforts to solicit participation from multiple students. Yet, through the lens of the dimensions of ALM, this interaction presented limited opportunities for Mr. S’s linguistically diverse students to develop multiple forms of mathematical proficiency, engage in mathematical practices, or to use mathematical discourse. The primary form of mathematical proficiency developed in this lesson was procedural, specifically using the average rate formula (line 1). There was limited evidence of students engaging in disciplinary mathematical practices such as explanation or justification. Instead, most student turns were short answers to known answer questions. Finally, and related to the practices, the student engagement in mathematical discourse was also minimal. In place of disciplinary discourse, the interaction in Table 3 reflects a traditional classroom discussion with multiple IRE sequences (Cazden, 2001). These discourse patterns were fairly consistent in most Phase I lessons.
6.2 Same speed combinations in Phase II
Mr. S taught one lesson during the Phase II teaching experiment. The lesson goals are in Fig. 4. Prior to the excerpt in Table 4, students worked in groups to find five distancetime combinations that made Emma move at the same speed as the ice cream cart (Fig. 3). In Table 4, Damariz, a former EL, shared a method to find combinations to make Emma walk the same speed as the cart. During this interaction, there were contributions from former ELs (Hala, Ana, and Javier), as well as students classified as ELs (Teo and Cristobal).
Turning to the dimensions of ALM, the primary proficiencies developed in this lesson were developing conceptual understanding and engaging in openended problem solving. Specifically, students were developing a conceptual understanding of speed through investigating and explaining a pattern using multiple representations. The primary mathematical practices were explaining a process and developing an algorithm (of sorts). Damariz was pressed to justify her method in questions from other students (lines 25 and 27). Finally, the students were engaging in discourses aligned with the discipline of mathematics. Damariz’s activity of standing at the board and explaining her procedure echoes the traditional school math lesson. However, Damariz constructs new identities for herself and her peers through her discourse (e.g., taking the pen and writing on the board, and the shift in her use of “we”). While the first “we” in line 20 appeared to refer to her group, the second “we” appeared to signal Damariz’s affiliation with a broader mathematical community. Additional moves highlighted this interaction was not a traditional school math discussion. For example, the students pressed Damariz for clarification (lines 25 and 27), and contributed additional ways to explain or describe Damariz’s method (line 29). Finally, note in this illustration how the dimensions of ALM are intertwined and interdependent. That is, the mathematical practices and discourse that are evident in Table 4 were facilitated by discussing tasks intentionally designed to develop broader forms of proficiency.
6.3 Average rate of change lesson in Phase III
The lesson analyzed here was the replacement of the Phase I lesson described in Sect. 6.1. The Phase III lesson on average rate of change started with students working in pairs, making sense of and exploring a dynamic model. In the model, Emma walks at rates determined by a piecewise linear graph while another character, Average Emma, walks at a steady pace, starting and stopping at the same location and time as Emma. Mr. S allowed the students to explore the model. Then, he used a Collect and Display MLR (Zwiers et al., 2017) to record what students noticed about the model. During this routine a student used the word constant and Mr. S emphasized that Average Emma traveled at a constant rate while Emma moved at a nonconstant rate. Next, the students were presented with two challenges: (a) finding the speed of Average Emma to make her start and finish at the same time and place as Emma, and (b) finding the speed for Average Emma if the initial position of Emma was 25 rather than zero (Fig. 6). Students worked on the challenge independently. Then, in Table 5, Mr. S asked Simón to share his method for finding the rate of Average Emma.
Turning to the proficiency dimension of ALM, in this excerpt Mr. S highlighted a conceptual focus by repeatedly pressing Simón to name the quantities he was using (lines 5, 7, 9) and connecting the quantities to the graph and context. Also, in line 23, Mr. S deemphasized calculations and highlighted the meaning of the numbers in the calculations in relation to the problem context. This lesson focused on mathematical practices through incorporating problem solving, explaining procedures, and justifying answers in terms of quantities. Mr. S’s initial focus on understanding Simón’s incorrect answer also modeled that a wrong answer can prompt further investigation. Finally, in terms of discourse, Simón participated in the classroom discourse occupying a space halfway between the teacher and students. Mr. S invited Simón to “help us” at the start of the interaction. That is, Simón was discursively positioned as a helper or teacher of the class (the “us” in “help us”). Yet, for most of Table 4, Simón responded to the teacher’s knownanswer questions, a form of talk that parallels the IRE discourse of Table 3. It is possible to imagine several reasons why Simón was not comfortable with this positioning, not least of which was embarrassment at discussing a mistake.
6.4 Synthesis using ethnographic discourse analysis
In Table 6, we summarize our analysis of the material, activity, semiotic, and sociocultural dimensions of the interactions in Transcripts 1–3 (Gee & Green, 1998). The Phase I lesson is recognizable as a traditional US mathematics lesson (Lampert, 1990). Using the Phase I lesson as the baseline, it is notable that the redesigned lessons in Phases II and III transformed aspects of the lesson, particularly,

(a)
a shift in material resources with the introduction of computers with dynamic representational technology.

(b)
a shift in the activity structure from the teacher presenting a formula and students practicing it to students solving nonroutine problems prior to learning a formula,

(c)
the introduction of more semiotic resources for reasoning including equations, graphs, tables, and dynamic representations,

(d)
a transformation of the sociocultural dimension of classroom interactions from a traditional teacherled lesson in Phase I to a student driven discussion during Phase II.
The transformation in the sociocultural dimension observed in Phase II is reflected in the percentage of class time that was dedicated to wholeclass versus small group or individual format (85% wholeclass in Phase I and 46% wholeclass in Phase II). This transformation did not persist in Phase III (60% wholeclass) and Mr. S reverted back to IRE focused discourse by the end of Table 5. One possible explanation for this shift back to IRE focused discourse is that the timerelated pressures of teaching these lessons in the typical school day led to a shift back to the “default” mode of discussion dominated by IRE interactions. It was intriguing that Mr. S attempted to position Simón as an expert who could explain his thinking to the class, but Simón appeared to resist this positioning (Table 5, lines 4 and 8). Simón’s reticence contrasted with Damariz asking to explain her method (Table 4 line 18).
7 Discussion
This design research project sought to create classroom learning environments in which linguistically diverse ninth graders develop the dimensions of ALM through engaging in mathematical discussions (Moschkovich, 2015; Moschkovich & Zahner, 2018). The findings presented here show it is possible to transform the patterns of classroom discourse in multilingual secondary mathematics classrooms. Additionally, the design principles and products of this design effort provide guidance for future research and development efforts in linguistically diverse secondary mathematics classrooms. In the following two sections, we summarize answers to the research questions that framed this work and then discuss limitations and future research directions.
7.1 Design principles, classroom discussions, and ALM
Explicitly answering RQ1, we see evidence that the lesson design features supported multilingual students’ participation in classroom discussions. Specifically, in comparison with the traditional classroom discussions in Phase I, during Phases II and III, we saw a shift away from the IRE format of classroom talk as students engaged in mathematical practices (such as problem solving), while using more authentic mathematical discourse (such as explaining and justifying). These shifts in interaction can be traced to elements of this design effort. For example, the interaction in Table 4 was made possible by the lesson’s conceptual focus (understanding linear rates of change), the mathematical practices embedded in the activity structure (problem solving), and the use of discourse supports (MLRs and dynamic technology).
Regarding RQ2, we note there was a reflexive relationship between student participation in mathematical discussions and their development of ALM. In particular, during the Phases II and III lessons, the qualitative analysis of excerpts of discussion showed how students engaged in mathematical practices and used mathematical discourse while developing proficiencies. While we are encouraged by the evidence of student engagement in ALM during this design effort, we also acknowledge that further research is needed to continue unpacking how the dimensions of ALM are interrelated and developed together in and through discussions. In a more controlled study, we might be able to isolate and measure these dimensions more precisely.
7.2 Limitations and future research
We note three limitations and suggest potential avenues for future research responsive to these limitations. First, we cannot claim there was a causal relationship between our redesign efforts and the changes in classroom discourse across Phases I, II, and III. Given the time lag between design iterations, changes in classroom interactions and Mr. S’s teaching practices may be attributable to factors beyond this design effort. To address this limitation, in future efforts, this work might be “scaled down” (O’Connor et al., 2015) to do smaller experimental tests of how specific variations of design features and teaching practices impact student learning. For example, future designs could investigate the effectiveness of MLRs by comparing a lesson that uses a specific MLR (e.g., Collect and Display) to a version of the same lesson that does not use that MLR. Such work may be critical for making researchbased claims that certain design principles or instructional routines are “best practices.” Also, such a detailed analysis might allow for further explication of how the dimensions of ALM are intertwined and developed together through participating in classroom discussions.
Second, the features of our redesigns were situated in and responsive to the local context of this research. This research was intentionally set in a large, comprehensive public school where the students and teachers in this school faced many of the systemic inequities that are common in US secondary schools serving English Learners (Gándara & Contreras, 2009). Given the challenges presented by these systemic inequalities, it is important to note that the modest success of this project was supported by using researchgrounded designs in the context of a longterm partnership between the research team and school personnel. The design principles and the unit/lesson designs that were created in this project may serve as a starting point for other researchers who seek to promote classroom discussions in multilingual settings. At the same time, translating the insights from this research into new settings with other teachers will likely require robust professional development frameworks (as in HerbelEisenmann et al., 2013) in addition to the project specific design principles. In future research, these principles can be tested and further refined in other multilingual secondary mathematics learning contexts.
Finally, this work, which has an overarching goal of increasing educational equity for multilingual learners, focused on redesigning the learning environment at the classroom level. Such classroomlevel change does not address the larger systemic inequities that necessitate this research (Gándara & Contreras, 2009). In the course of this research, we encountered multiple challenges from beyond the classroom walls including teacher turnover, yearly curriculum changes, and “accountability” pressures. While these challenges were beyond the scope of our control and the research intervention, they certainly shaped the enactment of our designs. Reflecting on the broader sociopolitical context of schooling for multilingual students in US secondary schools, in future work we hope to engage more teachers–and students, families, and community members–in codesigning secondary mathematics learning environments that may lead to a more humanizing vision of school mathematics (Gutiérrez, 2018). We also suggest that other redesign efforts that share the overarching goal of increasing educational equity for multilingual learners must necessarily engage with the broader school and social contexts and the systemic structures that create and maintain inequitable mathematics learning environments for multilingual students.
Notes
We use English Learner (EL) to describe multilingual students who were assigned this classification by the school. However, the term EL is problematic as it focuses on what students lack rather than their resources. We use multilingual students and emerging multilingual students to highlight their assets.
All names are pseudonyms.
The school lesson planning guidelines required each lesson include language goals. Prior to this project, those goals, if stated at all, were usually a list of vocabulary words in the lesson.
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Acknowledgements
This research was supported by a grant from the National Science Foundation (#1553708) to William Zahner. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of The National Science Foundation. We acknowledge the assistance of Lynda Wynn, Yessika Gamala, and April Zuniga, and the collaboration of the teachers who are participating in this study.
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Zahner, W., Calleros, E.D. & Pelaez, K. Designing learning environments to promote academic literacy in mathematics in multilingual secondary mathematics classrooms. ZDM Mathematics Education 53, 359–373 (2021). https://doi.org/10.1007/s11858021012390
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DOI: https://doi.org/10.1007/s11858021012390