The last symposium came at a crucial time: Academic, industry, non-profit, and governmental organizations had been calling for Computational Thinking (CT) to be considered a 21^st century literacy, which spurred an extraordinary international movement of curricular revision to include the development of students’ CT skills starting in primary school.

More recently, CT – in the form of coding and computational modeling – has received increased emphasis via practice and public policy in mathematics education settings. For instance, in 2020-21, the province of Ontario (Canada) introduced the learning and use of coding skills as part of its mathematics curriculum in Grades 1-9 (Ontario Ministry of Education, 2020, 2021). And for the first time ever in 2022, the Programme for International Student Assessment (PISA) decided to assess CT (i.e., defining and elaborating mathematical knowledge that can be expressed by programming) as a component of mathematical literacy:

students should possess and be able to demonstrate [CT] skills as they apply to mathematics as part of their problem-solving practice. […] [PISA] anticipates a reflection by participating countries on the role of [CT] in mathematics curricula and pedagogy. (OECD, 2018, p. 5, para. 12).

In this evolving context, many important questions remain. A critical issue still faced by policy makers, curriculum developers, educators, and researchers alike is the careful delimitation of “CT” – its nature and place – in relation to mathematics (see, e.g., Broley et al., 2017; diSessa, 2018; Geraniou & Janqvist, 2019; Kallia, Borkulo, Drijvers et al., 2021; Lockwood et al., 2019). Other pressing questions concern how coding and computational modelling can be practically and meaningfully integrated in mathematics classrooms across education levels, including the teacher education required to support this integration (see, e.g., Araujo, Floyd, & Gadanidis, 2019; Benton, Hoyles, et al., 2017; Bertrand & Namukasa, 2022; Buteau et al., in press; Francis & Davis, 2018; Gadanidis et al., 2017). Finally, researchers have continued to highlight the many ways that mathematical and computational practices (e.g., algorithmic design and multiply biased data sets) are implicated in reproducing discrimination, marginalization, and injustice, as well as limiting opportunities for members of certain groups to advance and meaningfully participate in computational spaces (see, e.g., Bouck & Yadav, 2020; Christian, 2019; Keengwe & Tran, 2020; Leonard et al., 2021): As educational practices rapidly evolve and create potential for increased inequities, how can we be working towards more equitable outcomes?

Our professional development (PD) component for teachers and pre-service teachers will parallel the three conference themes (see below) and offer participants opportunities for hands-on, minds-on and hearts-on practical experiences with coding computational modelling and equity in mathematics led by a diverse and innovative group of facilitators.

The event seeks to provide a forum for discussing emerging issues and sharing new perspectives and experiences related to coding, computational modeling, and equity in mathematics education.

We propose the following three themes as a starting point (which may evolve in various directions depending on participants!):

1. Meanings and interactions between “computational thinking” and “mathematical thinking,” and how these can guide research and practice.  
2. Integration of coding and computational modeling in mathematics curricula and classrooms at different levels of education (elementary, secondary, university), and the related teacher education.
3. Theoretical and practical understandings related to improving equity in integrations of coding and computational modeling in mathematics education.

The organization of the event brings together two SSHRC-funded research teams hosted at Brock University (led by Chantal Buteau; see here) and Western University (led by Immaculate Namukasa; see here), who work on programming and computational participation across all levels of mathematics education (PreK-16).  It is overseen by Laura Broley (until June 2022), Chantal Buteau, Steven Khan, and Dorothy Levay from Brock University, and Immaculate Namukasa from Western University, and involves the following committees:

• Symposium Scientific Committee
  
  Chantal Buteau (Brock University) – Co-Chair
  Immaculate Namukasa (Western University) – Co-Chair
  Laura Broley (Brock University)
  Ghislaine Gueudet (Université Paris-Saclay, France)
  Joyce Mgombelo (Brock University)
  Marisol Santacruz Rodríguez (Universidad del Valle, Colombia)
  Ana Isabel Sacristán (Cinvestav, Mexico)
  Ricardo Scucuglia (UNESP, Brazil)

• PD Session Committee
  
  Steven Khan (Brock University) – Co-Chair
  Marja Bertrand (Western University) – Co-Chair
  Anjali Khirwadkar (Brock University)
  Dave Potts (Brock University)
  Derek Tangredi (Western University)
  Shannon Welbourn (Brock University)

• Local Organization Committee
  
  Laura Broley (Brock University) – (former Chair until June 2022)
  Dorothy Levay (Brock University) – Co-Chair
  Chantal Buteau (Brock University) – Co-Chair
  Steven Khan (Brock University)
  Joyce Mgombelo (Brock University)
  Neil Marshall (Brock University)
  
  
• Organizing Committee
  
  Zeynep Gecu-Parmaksiz (Ontario Tech University)
  Beyza Sezer (Western University)

The event is sponsored by the Fields Institute for Research in Mathematical Sciences, Social Sciences and Humanities Research Council of Canada (SSHRC), CanCode through Callysto project.