Hurdle Task – Deep Learning

Online Learning, Deep Learning, and Questioning

Deep learning is when students move beyond memorization and towards an applicable method of using information in new contexts. While not all learning acquires this depth, it is for the personal use of the student for future enquiries. It is considered meaningful learning as the student learns concepts to apply to future contexts. To achieve deep learning, classroom dialogue needs to shift from the basic (i.e. ‘who, what where’ questions) to an extension style of inquiry (‘how and why’ questions). Asking meaningful questions with a pause afterwards results in extended and analytical responses. Rather than teacher led, students interact with each other and share and compare their ideas. Deep learning results in the growth in higher order thinking skills. The Department of Education has a list of strategies which are useful in differentiating questioning strategies. One of my favourite ideas is ‘turn and talk’, where students are given a question, discuss their responses with a partner, and then share with the class. Some students may feel more reassured in their answers if they share their thinking with a friend, hence proving the value of such a task. The Q-Matrix provides a guide for how to create inquiry-based learning opportunities for students individually and in groups. Ultimately, the inclusion of deep learning questions encourages students to move beyond memorisation and towards the application and analysis of their content.