Beyond Keywords: Applying Systemic Functional Linguistics to Unpack the Language of Additive Word Problems

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Bibliographic Details
Title: Beyond Keywords: Applying Systemic Functional Linguistics to Unpack the Language of Additive Word Problems
Language: English
Authors: Kwok, Michelle (ORCID 0000-0002-2406-6835), Welder, Rachael M. (ORCID 0000-0001-5861-0950), Moore, Jason (ORCID 0000-0002-0075-1926), Williams, Ashley M. (ORCID 0000-0001-5131-1819)
Source: International Journal of Science and Mathematics Education. Nov 2022 20(1):163-186.
Availability: Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/
Peer Reviewed: Y
Page Count: 24
Publication Date: 2022
Document Type: Journal Articles
Reports - Research
Education Level: Elementary Education
Descriptors: Language Usage, Mathematics Instruction, Word Problems (Mathematics), Elementary School Teachers, Linguistic Theory, Metalinguistics, Language Patterns, Problem Solving, Computational Linguistics, Comparative Analysis, Correlation, Teaching Methods
DOI: 10.1007/s10763-022-10290-6
ISSN: 1571-0068
1573-1774
Abstract: The learning of mathematics poses specific linguistic challenges. Amongst them, teachers and students need to be able to unpack the language used in mathematics word problems to understand its context, discern the relationships between the known and unknown information, and identify relevant solution strategies. Prior research has described some of the linguistic complexities within the math discipline. However, research has not yet examined the linguistic patterns of additive problem types in particular, nor explored how linguistic analysis might be applied to support prospective elementary teachers in making sense of these problems. Using a corpus of 400 word problems, the authors conducted an ideation analysis, drawing from Systemic Functional Linguistics theory. The findings resulted in a distillation of language features key to conveying the mathematical meanings in the three types of additive problems (i.e., change, part-part-whole, and additive comparison). Prospective elementary teachers were introduced to linguistic functional metalanguage as a tool for analyzing the key language features in additive word problems. Analysis of their work demonstrated their ability to employ the functional metalanguage to identify challenges and describe specific linguistic characteristics associated with each type of additive problem.
Abstractor: As Provided
Entry Date: 2022
Accession Number: EJ1360153
Database: ERIC
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Description
Abstract:The learning of mathematics poses specific linguistic challenges. Amongst them, teachers and students need to be able to unpack the language used in mathematics word problems to understand its context, discern the relationships between the known and unknown information, and identify relevant solution strategies. Prior research has described some of the linguistic complexities within the math discipline. However, research has not yet examined the linguistic patterns of additive problem types in particular, nor explored how linguistic analysis might be applied to support prospective elementary teachers in making sense of these problems. Using a corpus of 400 word problems, the authors conducted an ideation analysis, drawing from Systemic Functional Linguistics theory. The findings resulted in a distillation of language features key to conveying the mathematical meanings in the three types of additive problems (i.e., change, part-part-whole, and additive comparison). Prospective elementary teachers were introduced to linguistic functional metalanguage as a tool for analyzing the key language features in additive word problems. Analysis of their work demonstrated their ability to employ the functional metalanguage to identify challenges and describe specific linguistic characteristics associated with each type of additive problem.
ISSN:1571-0068
1573-1774
DOI:10.1007/s10763-022-10290-6