Innovate Issue 1 November 2019 | Page 23

LEARNING TO LEARN Literature review Metacognition concerns not just what students are learning, but how they are learning, i.e. how they learn best by ‘learning to learn’ (Quigley and Stringer, 2018). Training students in metacognition creates ‘more awareness and understanding among pupils to help them engage and embed their learning more effectively’ (Mughal, 2018). Developing students’ metacognitive abilities is thought to increase progress by an additional seven to nine months (Evidence Based Education, 2018; Lockyear 2018). Assessment for learning (AfL) involves formative feedback. It identifies where students are in their learning, where they need to get to, and how to get there (Wiliam, 2011). AfL is known to ‘substantially increase student attainment’ (Elliot et al., 2016). One strategy to demonstrate to students how to progress learning is the provision of assessment criteria prior to completing an assessment. This is thought to have a positive impact in assisting student understanding of task requirements (Bell et al., 2013). A quantitative study into feedback strategies and the impact upon metacognition Elen Harris, Teacher of Geography Introduction The Education Endowment Foundation (EEF) marking review report (Elliott et al., 2016) highlighted two areas where there was a paucity of research: ‘Testing the impact of marking policies which are primarily based on formative comments and rarely award grades’ and ‘Investigating the most effective ways to use class time for pupils to respond to marking’. This piece of action research attempts to ascertain if marking without grades, and providing feedback with a grid and comment, leading to directed improvement and reflection time, creates a quantifiable improvement in students’ metacognitive abilities. Assessment criteria grids can be particularly beneficial for providing feedback. Methods to help students to engage with feedback to assist their metacognition include ‘closing the gap’ marking where the teacher puts a double tick next to a good point, or writes coded feedback such as WWWT? (what’s wrong with this?) or RTQ (read the question). The student then works to identify why this specific feedback was given and seeks to improve (Fletcher-Wood, 2013), therefore engaging more than they would having simply read written feedback. Coded feedback encourages students to self-correct rather than relying on having mistakes corrected (Bates, 2016). Interestingly, research suggests there is no discernible difference in outcome between providing coded or lengthier written feedback, so long as students understand the codes (Elliott et al., 2016). Another method to improve student engagement is not providing a numerical grade as ‘grades stop learning’ (Wiliam, 2011, p 123). It is argued that feedback with grades dictates a greater level of ego involvement and competition with students competing with peers for the better grade (Woolfolk et al., 2013), as opposed to greater task involvement from just giving comments, which students have to focus on more thoroughly (Wiliam, 2011). This sense of competition can be particularly detrimental for anxious pupils, those lacking in self-confidence, or those less prepared for assessments (Woolfolk et al., 2013). The EEF marking review (2016) recognises that students will not benefit from feedback unless time is given to respond to marking. Such time has various different names – ‘feed forward time’, and ‘directed improvement and reflection time (DIRT)’ (Kay et al., 2016). Studies suggest it is valuable to give students DIRT time in class to engage with and respond to feedback (Elliott et al., 2016). 21