Conventional models of mathematics practice in schools involve the rigid application of a procedure that had been previously learnt to solve similar questions (Lehtinen et al., 2017). Questions are usually drawn from sources such as textbooks and students are considered to have to follow and memorise the procedure previously demonstrated by the teacher (Nachlieli & Tabach, 2019). The general belief is that practice helps students to automate solving non-routine problems (Garelick, 2013). Teachers who follow this model of practice will likely find it difficult to create practice resources that go beyond the use of a particular algorithm to solve questions (Bridge et al., 2012), and this will limit their professional capabilities in the long term. Moreover, these practices impact students’ perceptions of mathematics as they will become to believe that mathematics understanding is all about getting a correct answer after mimicking the teacher (Howard & Whitaker, 2011). If students’ mathematics understanding is to go beyond automatised basic skills, then practice should focus on developing adaptive skills and relational understanding not only routine skills (Schmidt et al., 2021). Such practice models, for example deliberate practice, can provide opportunities for continued improvement and attainment of deeper mathematical understanding (Han & Paine, 2010); nevertheless, there is limited research on deliberate practice in mathematics education (Lehtinen et al., 2017).
Deliberate practice seeks to develop experts in domains through building skills, competences and knowledge. In this round table, we will introduce the notion of deliberate practice, its intentions and mechanism. The participants then will be invited to discuss strategies on how deliberate practice can support and inform conventional practice models in mathematics education.