Pak Kau Interactive DEEP LEARNING PD: Deep Learning Pedagogy

What is Deep Learning?

Deep Learning is collaborative, applied, confidence-building experiential learning which is inquiry-based, co-constructed and cyclic in nature.

From a pedagogical perspective, the main idea of deep learning is to give students the tools to co-construct inquiry-based learning, which they can apply into multiple situations and can self-reflect in ways which allow them to evaluate and innovate to deepen their learning throughout their lives.

Meet Michael Fullan

Click to Listen to Michael Fullan Describe Deep Learning

Michael Fullan's Terminology

Embedding Interactive Deep Learning Pedagogy into Bloom’s Taxonomy of Learning

Using Deep Learning Principles

Interactivity & Engagement

All lessons and activities are designed around building student interactions. Engagement is the first-step to learning, and therefore, embedding interactivity is crucial to establish engagement, motivation. These can easily be launched using deep learning competencies.

Online interactivity

There are many different options, but the best places to build online interactivity which is entirely embedded in your curriculum is throughout whatever social media your students are most apt to use – in my case, Whatsapp.

Co-constructed – Using pre-tests to help students understand what they need to learn is a great way to initiate the co-constructive process. After doing pre-tests, students decide how it is best for them to learn missing elements. This gives them focal points to build upon.

Inquiry-based – Help students to build questions around their learning, as this too will, not just help them focus on their learning, but will also allow them to organically extend it. A neat way of engaging students is to have them co-construct large-platform pictorial mind-maps.

Confidence-building – It is important to remember that at the heart of all learning lies confidence-building. It is key to intrinsic motivation. Therefore, all learning should be embedded into confidence-building strategies.

Material Design – When designing new materials, be sure to leave room for students to come and co-construct as well. This will give them a better understanding of how they learn, this in turn, will give them greater control over self-directing their own learning.

Peer-teaching – Students need to not just absorb information, but they need to be able to apply into various situations, and in a classroom setting, on of the most natural ways of doing this is to have students do supervised ON-teaching.

Collaboration – Obviously, collaboration is fundamental to all good teaching and learning practices, but at the same time, it is important not to ‘throw the baby our with the bath water’ as individual learning and responsibilities are equally crucial, and also embedded in deep learning competencies.

Assessment – ‘Assessment for learning’ is the best practice when designing any activity, lesson, or unit of study or project. This is even more vital when operating in a high-stakes examination system, as learning must not be embedded into one end goal. Ultimately, it needs to be embedded into life-long learning. Also, the idea behind ‘assessment for learning’ is to inform all stakeholders on how to better design and assess to find ‘micro’ and ‘macro’ skills and areas of learning which need to be fundamentally altered for success. Therefore, learning and assessment models must serve multi-purposes

1) empower learners to, not just improve their learning, but also have control over it:

2) continually, reinforce engagement, motivation and confidence-building:

3) embedded in life-long learning practices:

4) increase learners’ abilities to self-direct their learning to their own learning strategies and needs:

5) give all stakeholders a clear picture of how to situate and adapt learning and assessment relevancy:

6) maintain a high degree of validity:

7) use multi-modalities to better access students understanding of their own strengths and weaknesses:

8) used to inform and adapt further learning and assessment

In-class Long-Term Projects

Canadian Cultural Exchange: Deep Learning Project