5.1 Assess student learning 

5.2 Provide feedback to students on their learning 

5.4 Interpret student data  

Students regularly use mini whiteboards during lessons (artefact 8). For example, when doing a daily review students are instructed to write their answer and hover it (answer face down) when ready. Using this technique, allows me to see when majority of the class is ready, and then students are instruction to ‘chin it’ (hold whiteboard under chin). This provides immediate feedback, and I can continuously check student’s understanding whilst making judgements about how to proceed with the lesson based upon this data (APST 5.1). For example, if majority of students have an incorrect answer this would indicate that I need to reteach the content. Based on this formative assessment I can provide immediate affirmative and corrective feedback as required (APST 5.2) Providing feedback to students is an essential component of the learning process. Constructive feedback helps students understand their strengths and weaknesses, guiding them towards improvement. Archer & Hughes (2011) state that the teacher should follow up on student responses as quickly as possible by echoing, elaborating or explaining the answer.  Effective feedback is specific, timely, and actionable. Hattie (2017) also supports this and determined feedback to have an effect size of 0.75 on student achievement therefore it is important to create a positive feedback cycle for students as their success further leads to motivation.  Additionally, I can adjust the pace of instruction, providing additional explanations where necessary, and offer positive encouragement throughout the lesson to maintain engagement (APST 5.1, 5.2).   

Fisk (2009) discusses that data-informed teaching is effective teaching as the teacher can tailor the teaching to meet the specific instructional needs of the students.  This data-driven approach allows teachers to identify trends, adjust instructional strategies, and implement targeted interventions for students who may be struggling. Interpreting student data supports informed decision-making, contributing to continuous improvement in teaching and learning.