scholarly journals When bibliometrics met mathematics education research: the case of instrumental orchestration

ZDM ◽  
2020 ◽  
Vol 52 (7) ◽  
pp. 1455-1469 ◽  
Author(s):  
Paul Drijvers ◽  
Sebastian Grauwin ◽  
Luc Trouche
Keyword(s):  
Education Research ◽  
Mathematics Education ◽  
Adult Learners ◽  
Research Literature ◽  
Mathematics Education Research ◽  
Future Research ◽  
Teaching With Technology ◽  
Instrumental Orchestration ◽  
Identity Cards ◽  
Set Up

Abstract Thanks to digital technology, methods for finding and analysing research literature have become dramatically more powerful over the last decades. Also, new bibliometric techniques have been developed and applied to the results of such literature search queries. The application of these bibliometric tools to mathematics education research, however, is rare. In this paper, we explore the value of these techniques for mathematics education research through triangulating bibliometrics and expert findings. To do so, we address the case of instrumental orchestration, and want to know how this notion developed over time and was used in research practices. The results show that bibliometric clustering techniques provided a sense-making sketch of the ‘landscape’ of instrumental orchestration research. Triangulating the bibliometric findings with expert interpretations seemed an appropriate method to set up compact ‘identity cards’. In the case of instrumental orchestration, we identified five main clusters in research literature, characterized by the following labels: Managing teaching complexity, Designing living resources, Teaching with technology, Adult learners, and Interacting with computers. The paper ends with some reflections on the potential of bibliometrics in our field and on future research on instrumental orchestration.

(Mis)Taken Identities: Reclaiming Identities of the “Collective Black” in Mathematics Education Research Through an Exercise in Black Specificity

2017 ◽  
Vol 41 (1) ◽  
pp. 228-252 ◽  
Author(s):  
Maisie L. Gholson ◽  
Charles E. Wilkes
Keyword(s):  
Education Research ◽  
Mathematics Education ◽  
Teaching And Learning ◽  
Black Children ◽  
Research Literature ◽  
Mathematics Education Research ◽  
Social Identities ◽  
Identity Based ◽  
Mathematics Teaching And Learning ◽  
Research In Mathematics Education

This chapter reviews two strands of identity-based research in mathematics education related to Black children, exemplified by Martin (2000) and Nasir (2002). Identity-based research in mathematics education is a burgeoning field that is disrupting narratives around the meanings of mathematical competence and brilliance. We argue that the identities of Black children as doers and knowers of mathematics are often confused (or mistaken) with stereotypical images of various social identities, as well as wrongly confiscated (or mis-taken), in order to perpetuate persistent narratives of inferiority, criminality, and general ineducability of these children. We use Black children as a particular example within the mathematics education research literature and argue that children within a so-called “collective Black” are subject to the same racial scripts that organize mathematics teaching and learning. While we acknowledge that important lines of identity-based research have emerged to reclaim the rightful identities of Black children and those within the collective Black, we conclude with a critique of this recent literature in which we note the troubling exclusion of girls and young children.

Researching Race in Mathematics Education

2009 ◽  
Vol 111 (2) ◽  
pp. 295-338 ◽  
Author(s):  
Danny Bernard Martin
Keyword(s):  
Education Research ◽  
African American ◽  
Mathematics Education ◽  
Critical Theory ◽  
Research Policy ◽  
Mathematics Learning ◽  
Mathematics Education Research ◽  
Future Research ◽  
Policy And Practice ◽  
Differential Outcomes

Background Within mathematics education research, policy, and practice, race remains undertheorized in relation to mathematics learning and participation. Although race is characterized in the sociological and critical theory literatures as socially and politically constructed with structural expressions, most studies of differential outcomes in mathematics education begin and end their analyses of race with static racial categories and group labels used for the sole purpose of disaggregating data. This inadequate framing is, itself, reflective of a racialization process that continues to legitimize the social devaluing and stigmatization of many students of color. I draw from my own research with African American adults and adolescents, as well as recent research on the mathematical experiences of African American students conducted by other scholars. I also draw from the sociological and critical theory literatures to examine the ways that race and racism are conceptualized in the larger social context and in ways that are informative for mathematics education researchers, policy makers, and practitioners. Purpose To review and critically analyze how the construct of race has been conceptualized in mathematics education research, policy, and practice. Research Design Narrative synthesis. Conclusion Future research and policy efforts in mathematics education should examine racialized inequalities by considering the socially constructed nature of race.

scholarly journals Roles and Research Trends of Artificial Intelligence in Mathematics Education: A Bibliometric Mapping Analysis and Systematic Review

Mathematics ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 584 ◽  
Author(s):  
Gwo-Jen Hwang ◽  
Yun-Fang Tu
Keyword(s):  
Artificial Intelligence ◽  
Systematic Review ◽  
Education Research ◽  
Mathematics Education ◽  
Research Trends ◽  
Mathematics Education Research ◽  
Future Research ◽  
Research Issues ◽  
Bibliometric Mapping ◽  
Mapping Analysis

Learning mathematics has been considered as a great challenge for many students. The advancement of computer technologies, in particular, artificial intelligence (AI), provides an opportunity to cope with this problem by diagnosing individual students’ learning problems and providing personalized supports to maximize their learning performances in mathematics courses. However, there is a lack of reviews from diverse perspectives to help researchers, especially novices, gain a whole picture of the research of AI in mathematics education. To this end, this research aims to conduct a bibliometric mapping analysis and systematic review to explore the role and research trends of AI in mathematics education by searching for the relevant articles published in the quality journals indexed by the Social Sciences Citation Index (SSCI) from the Web of Science (WOS) database. Moreover, by referring to the technology-based learning model, several dimensions of AI in mathematics education research, such as the application domains, participants, research methods, adopted technologies, research issues and the roles of AI as well as the citation and co-citation relationships, are taken into account. Accordingly, the advancements of AI in mathematics education research are reported, and potential research topics for future research are recommended.

scholarly journals Implementation-related research in mathematics education: the search for identity

ZDM ◽  
2021 ◽  
Author(s):  
Boris Koichu ◽  
Mario Sánchez Aguilar ◽  
Morten Misfeldt
Keyword(s):  
Education Research ◽  
Mathematics Education ◽  
Implementation Research ◽  
Scaling Up ◽  
Mathematics Education Research ◽  
Future Research ◽  
Special Issue ◽  
Related Research ◽  
Survey Paper ◽  
Research In Mathematics Education

AbstractImplementation has always been a paramount concern of mathematics education, but only recently has the conceptualizing and theorizing work on implementation as a phenomenon begun in our field. In this survey paper, we conduct a hermeneutic review of mathematics education research identified as related to the implementation problematics. The first cycle of the review is based on examples of studies published in mathematics education journals during the last 40 years. It is organized according to five reasons for developing implementation research. The second cycle concerns 15 papers included in this special issue and is organized by four themes, as follows: objects of implementation, stakeholders in implementation, implementation vs. scaling up, and implementability of mathematics education research. The paper is concluded with a refined glossary of implementation-related terms and suggestions for future research.

Mathematics educators are speaking about PISA, aren’t they?

2020 ◽  
Vol 39 (4) ◽  
pp. 266-280
Author(s):  
Chiara Giberti ◽  
Andrea Maffia
Keyword(s):  
Education Research ◽  
Mathematics Education ◽  
International Student ◽  
Student Assessment ◽  
Development Program ◽  
Mathematics Education Research ◽  
Future Research ◽  
International Student Assessment ◽  
Oecd Pisa ◽  
Using Data

Abstract This paper sets out to explore the different uses made of Organisation for Economic Co-operation and Development Program for International Student Assessment (OECD-PISA) tests and data in mathematics education research. Through a comprehensive literature review of journals and conference papers, we show that although a large variety of topics is addressed, they do not cover all the topics considered in mathematics education research. Analysing the temporal and geographical distribution of papers, we find that there is increasing interest in the use of PISA in our field of research and that different countries are involved in different ways in mathematics education research about PISA. As a conclusion, we suggest that critical research into the effect of PISA can be developed further, especially in those countries that have joined the OECD survey in recent years. Other future research paths using data from PISA are detected.

scholarly journals A Future Map of Mathematics Education Research in View of the 2030 Vision

2020 ◽  
Vol 6 (1) ◽  
pp. 314
Author(s):  
Aeshah J. Aljohani ◽  
Mohammed A. Alnatheer
Keyword(s):  
Education Research ◽  
Mathematics Education ◽  
Random Sampling ◽  
Simple Random Sampling ◽  
Mathematics Education Research ◽  
Future Research ◽  
Teaching Aids ◽  
Vision 2030 ◽  
The Impact ◽  
Goals And Objectives

This paper discusses the reality of mathematics education researchers in terms of: methodology, samples, tools, and the thematic trends. It also sets a model for building a proposed future map for mathematics education research in view of the pillars of Vision 2030. The study used the descriptive analytical method, and the sample consisted of reviewing 51 researches in mathematics education. The results indicate that the majority of mathematics education research was descriptive. The research sample was also focused on students, and the method of simple random sampling. The majority of researches relied on one tool for the researchers’ design, and the tests were the most used. Researches also focused on the primary stage. The largest percentage of mathematics education, research aimed to measure the impact and effectiveness of teaching aids and techniques. The research provided a model for a research map that guides the course of future research in the field of mathematics education from the perspective of the goals and objectives of the Vision 2030.

scholarly journals Future themes of mathematics education research: an international survey before and during the pandemic

2021 ◽  
Vol 107 (1) ◽  
pp. 1-24
Author(s):  
Arthur Bakker ◽  
Jinfa Cai ◽  
Linda Zenger
Keyword(s):  
Education Research ◽  
Mathematics Education ◽  
Teacher Professional Development ◽  
Mathematics Education Research ◽  
International Survey ◽  
Teaching Approaches ◽  
Education Teacher ◽  
Development Technology ◽  
Teacher Professional ◽  
Research In Mathematics Education

AbstractBefore the pandemic (2019), we asked: On what themes should research in mathematics education focus in the coming decade? The 229 responses from 44 countries led to eight themes plus considerations about mathematics education research itself. The themes can be summarized as teaching approaches, goals, relations to practices outside mathematics education, teacher professional development, technology, affect, equity, and assessment. During the pandemic (November 2020), we asked respondents: Has the pandemic changed your view on the themes of mathematics education research for the coming decade? If so, how? Many of the 108 respondents saw the importance of their original themes reinforced (45), specified their initial responses (43), and/or added themes (35) (these categories were not mutually exclusive). Overall, they seemed to agree that the pandemic functions as a magnifying glass on issues that were already known, and several respondents pointed to the need to think ahead on how to organize education when it does not need to be online anymore. We end with a list of research challenges that are informed by the themes and respondents’ reflections on mathematics education research.

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