Saturday 15 February 2020

A Just Cause


I’ve been reading Simon Sinek’s “The Infinite Game” during my morning reading session with my sixth formers. 




Occasionally, I’ll read excerpts to them as it’s such an insightful book on long-lasting success. One particularly powerful chapter is chapter 2, “Just cause”. Sinek argues that every company and every leader that wishes to have sustained success needs a just cause - a vision for the future. Sinek states that a just cause must fulfil five criteria:

  1. For Something – affirmative and optimistic
  2.  Inclusive – open to all those who would like to contribute
  3. Service oriented  – for the primary benefit of others
  4. Resilient – able to endure political, technological and cultural change
  5. Idealistic – big, bold and ultimately achievable


In some countries, teachers have to write an educational philosophy. I was asked to write one for a job application once and I have attached it to the end of this post. However, the more I read Sinek's book, the more motivated I felt to write my own just cause. Why do I do what I do, what is it that I believe in and what is my ideal future. My just cause is as follows:


I believe in developing a world where more people know how to use computers to make their lives easier, better and more productive. I aim to teach computing to as many people as possible and I will do this by sharing my resources, knowledge and skillset - primarily through my books, blog, digital and physical resources and videos. Whilst I teach in a secondary school; I want to also help teachers, adults and younger children discover the beauty, fun and utility of computing.
For too many people, computing and computer science in particular seem daunting. Many people timidly or proudly admit to “not being good with computers”. I was once one of these people and I can confidently say that this can change. Everyone can learn about computing, everyone should be exposed to computing and given the opportunity to learn how to use computers to improve our lives.
The process of learning should be straightforward, accessible and involve achievable stepping stones. We should be able to learn about computing regardless of age, gender, race or income. We should be able to learn about computing without the fear of being labelled as a geek. Geeks are great, we should love them. It should be everyone’s aim to be a bit more of a computer geek and I’m here to help you achieve this.

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Educational Philosophy – William Lau


From Nanotechnology to Synthetic Biology, from Wearable Computers to Self-Driving Cars; Computing will continue to shape the future that we live in.

Computing teaches us how to solve problems by breaking them down into manageable components. In developing our own original solutions, Computing requires us to be both logical and creative. Computing enables us to develop a skillset and mindset which will be useful in literally every other discipline.

As a teacher, leader and student of Computing, I believe that being a digital native and a mere user of technology is not enough. Technology is changing at such a rapid pace that in order to thrive and succeed in the Information age, we need to understand how computers work. One of my primary aims is to transform users of technology into creators of technology by giving all students the opportunity to think, create, persevere and grow.

To achieve this aim, we must strive to:
  • Create an environment in which all pupils enjoy Computing and feel they can do well in Computing.
  • Create well rounded users and creators of Computer technology with a focus on independent problem solving skills.
  • Engage pupils and expose them to a wide range of Computing tools and skills which will empower them in whatever career path they choose.

Too often, students come into our classrooms with a fixed mindset; the belief that ability is innate and static (Dweck, 2006). As a result some students have got into the habit of giving up easily or not attempting difficult tasks due to a fear of failure. Inspired by the work of Carol Dweck, I believe that the growth mindset is fundamental to teaching and learning Computing. We need to help our students realise that they can achieve great things if they persevere and are resilient when faced with challenges and setbacks. There is a risk of students believing that as digital natives, they have little to learn and that everything they want to do with a computer has already been created or will be invented by someone else. There is also a fear that Computer Science is difficult and too technical. However, by eliminating these misconceptions, our students will be able to push themselves and learn to enjoy the learning process despite the many challenges that they will encounter.

Computing lessons should not just be about ‘doing’; the focus should always be on what the pupils are thinking about. Lessons should aim to teach pupils the real-world relevance of Computing; this relevance comes ultimately from a Fertile Question which feeds into every lesson question.

My teaching methodology revolves around meticulous planning, modelling, formative and summative assessment, feedback and putting the individual learner at the focus of all interactions. In order for a student to understand the standard of what is required, it is important that the teacher models how an expert in the subject should think and perform. This expert may be the teacher themselves, or they may use their students as experts. Having modelled the thought processes and explained the tasks, students should be given an opportunity to demonstrate their skills either through joint construction or independent tasks. It is at this point that formative assessment and monitoring is most crucial. Unless the teachers can visualise student’s thinking, identify misconceptions and mistakes and correct these, a student is not going to make good progress over time. Through regular intervention and feedback, these interactions with the group and the individual allow the teacher to address common errors and help students improve their learning.


Saturday 14 September 2019

Quick Fire Five


The Quick Fire Five is derived from Doug Lemov’s Do Now in Teach Like a Champion 2.0. In brief, a Do Now should:
  • Involve students putting pen to paper
  • Review previous learning (See also Rosenshine)
  • Be completed in silence without any direction from the teacher
  • Be consistent in delivery format e.g. on paper or on the board as students come in
  • Take 3-5 minutes to complete

For more detail see here

Based on cognitive science, Corinne Flett @FlettMiss designed the Quick Fire Five (QFF) in 2017 whilst working as an Assistant Head in charge of Curriculum and Assessment. QFF involves 5 questions which allow for interleaving and spaced retrieval practice. The 5 questions should be one question from:
  • Last Lesson
  • Last Week
  • Last Month
  • Last Term
  • Any time

Many have asked for my bank of QFF Do Now’s. I have included some examples here and here. However, I would say that QFFs are best designed by the teacher, as they should be based on your own students’ misconceptions and will vary based on your sequencing. Some think it will take too long to make. After a year of making them, I can now modify existing QFFs in 5-10 minutes. Writing new ones take 10-20 mins at most.

For more on cognitive science and research-based practice visit:

Further reading:
How We Learn (Carey)

Disclaimer: Whilst I embrace research, I also value experience. Context will shape your practice as will your own gut instinct as to what feels right. I’m a firm believer that there is no “single best way to teach” – if there was, there would be no innovation and no need for new theories. I think if you’re reading this, you’re open to improvement and hopefully open to the view that many of the techniques in the above texts will work but some may not.

William Lau 
September 2019