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Droning In The Classroom

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If we are to believe futurist Thomas Frey, drones will become the most disruptive technology in human history. To be fair Frey’s definition of a drone is more than the flying Unmanned Aerial Vehicles or UAV’s we typically think of when we talk of drones. The reality is though that drones are more than just flying cameras, they’re being used to deliver goods, fight climate change, monitor reefs, supply humanitarian aid, and take part in races.

My involvement with drones is via the statewide VCMP project which uses them to monitor coastal erosion hotspots. “The Victorian Coastal Monitoring Program aims to provide communities with information on coastal condition, change, hazards, and the expected longer-term impacts associated with climate change that will support decision making and adaptation planning.”

As a citizen scientist I’m part of a local team that uses a Phantom 4 drone, aeropoint satellite based markers and some pretty clever software that lets us measure the amount of sand that is shifted along sections of a beach. We do this by overflying sections of the local coast at around two monthly intervals and then crunch the data with the Australian Propellor software. This software allows users to draw virtual transects or plots along or across the beach to compare data across a range of dates. From this we can calculate the amount of sand movement and/or changes in the beach profile amongst other information. The software also enables users to render 3D representations of the beach.

In order to participate in the program we had to undertake some basic training in using the drone safely and efficiently. Whilst not a full remote pilots licence the training did cover off on most of the practical aspects required to get licence certification. We were also made aware of and have to comply with the Civil Aviation Safety Authorities, CASA, rules for flying sub-2kg drones.

Prior to becoming involved in this program I had purchased a couple of small entry level drones with a view to investigating if and where drones might fit within the school curriculum. Since that time a number of things have happened which have sharpened this focus.

The two major consumer drone manufacturers, DJI and Parrot have realised that the education sector is a market that could be tapped into. As a consequence both companies have adapted previous entry level models to better reflect the needs of schools. At the same time educators around the world have also been developing specialised drone options with students in mind. Most of the skills involved in learning to safely fly these entry level drones can also be applied to more sophisticated models, flying a continuous and even figure eight pattern is just as tricky with my Parrot mambo as it is with my Mavic Pro.

Both DJI and Mambo are developing some excellent support materials aimed specifically at the education market. Some major third party developers including Swift Playgrounds amongst others are also developing learning options. Importantly a number of these third party supports originate in Australia and are designing and providing content that fits the Australian Curriculum.

Drones provide a very practical means to develop STEAM projects. In order to best utilize drones it is important to understand the physics of flight and the various systems that combine to keep drones airborne. Designing and making drones fits perfectly within a STEAM framework bringing together science understanding within a design process that involves multiple systems. In addition to basic design work, drone kits provide the opportunity to devise, prototype and test novel uses for drones. The process of constructing drones, (and sometimes flying drones), often involves quite a lot of “trial and error” learning which provides a perfect context for building resilience and learning from failure. Even the best pilots have at least one malfunction.

The better entry level drones come with simple in-built cameras which can be employed to capture images that can be used as evidence of mission completion or as data for analysis. More sophisticated drones can be used in data gathering across the curriculum especially in geography, geology and the natural environment. LEGO connectors on entry level drones enable the addition of lightweight components which can be used to simulate real world missions. In the real world, drones are now also being used to take the place of fireworks and other lighting effects, again something that is within the scope of the classroom.

Another drone component worth considering is an FPV, or first person view camera. When paired with goggles these cameras provides students with an entree to the exciting world of drone racing and open up the many maths based explorations that are involved in this activity. Whilst flying a drone race can be full of thrills, designing courses that are challenging but realistic can be just as exciting.

A number of the entry level drones can also be controlled using code from block based through to Python and Arduino. This opens up the opportunity for students to devise, program and fly missions that mimic real world applications. If students are working with more sophisticated drones there are a number of software options available to plan and run missions. Whether using smartphones, controllers or software, flying and coding drones can be quite different to doing similar tasks using terrestrial based vehicles.

Of course with any new technology there is a cost involved and other considerations to take account of. Flying time is one of these; some entry level models typically provide 8-10 minutes of air time per 30 minute charge. With the better options users can purchase combos that have multiple batteries and spare propellers. With micro drones it’s important to understand the control range after which the drone may ‘get lost’. When looking at larger drones it’s important to consider the camera capability as well as navigation features such as collision avoidance and return to base features.

Overlaying all of these consideration is that drones are becoming increasingly available; some are available for as little as $20 from popular stores such as K-Mart. Micro-drones that fit into the palm of your hand can be purchased online again for very minimal cost. Despite the fact that these products contain flyers and instructions on safe and responsible drone use, experience suggests that these are often ignored. Schools offer an opportunity for a more structured review of these rules. Working with drones in schools also provides an opportunity to discuss and consider privacy and other issues associated with drones. Schools also provides a context for learning safe procedures; most damage to drones occurs not in flight but in packing, unpacking and transport.

Having hands-on experience with even entry level drones enables students to better consider options for the use of drones in the wider world. It can also lead to senior level students undertaking certificate level qualifications and even RePL, (remote pilot licences) as is already happening in a number of settings.

Come and meet me at the Leading a Digital School Conference where I will be facilitating hands-0n workshops around Droning in the Classroom, Augmented and Virtual Reality, Engineering Robots, Coding and Data.

Innovation and Creativity…IMO

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I don’t know about you, but I have seen this before. I have been this before. It’s an easy trap to fall into. You unwrap the bright and shiny new ‘thing’ that will transform your classroom. The solution to a problem we never knew we had. And the gateway to a whole range of new and exciting problems that didn’t exist before but now do. If only it did what we wanted it to do or even delivered some of the expected outcomes?!

Design has many names. Many ruses. So many different acronyms.  At its heart, though, it seeks to do the same thing, whatever the label. Design is about solving problems. It is about solutions. Testing solutions. Improving solutions. “Design is the link between innovation and creativity, taking thoughts and exploring the possibilities and constraints associated with products or systems, allowing designers to redefine and manage the generation of further thought through prototyping, experimentation and adaptation. It is human-centred and focuses on the needs, wants and limitations of the end user.” (IB Design Guide 2015, p. 4) Once we scratch below the surface and take away the shiny things, Design is problem solving methodology and technology is useful, only if it too, solves a problem.

“Why?” before “What?” If I had a mantra, it would be this. ‘Why’ am I doing this has to come before the ‘what’ do I need to make it happen. I cannot solve a problem without knowing what I am trying to solve.

I see Innovation as the output of creativity. The product of creativity. If creativity is the noun…then the act of this creativity finds its place through innovative thinking and doing. At times we blame lack of resources on our ability to innovate when in fact it’s the constraints that inspire innovation. It is not about what I have, but what I do not have that inspires innovation. And this drives our learning. To be innovative sometimes we need to limit what we have, what we get and what we give. We challenge our students to think. When you break that down. Challenging students to think shouldn’t be outside the realms of what we do, but it often is. And here is the response.

The five cogs of innovation

“Tell me how to do it?” is the cry of the student who is stuck.

“Well I could. Or you could just try something different. Have a go at solving the problem yourself. It doesn’t matter if you get it wrong. You just need to attempt something different to what you have already done.”

And at times they do. While others will not even budge. Fear of getting it wrong has been smashed into them so many times that the thought of not getting it right the first time overrides any natural curiosity. Some students would prefer getting in trouble for not trying, not even attempting to get it right, because its beats the shame of getting it wrong. And that says something about our schools. Our system.

Something needs to change.

Innovation as a classroom subject pushes our students to think they can, rather than believe they cannot and then asks them to attempt things they may not have otherwise tried to do. And the results are things we could not have imagined. Every class is different. New leaders emerge. Students in control of what they learn and how they learn. Our dream is students develop a mindset that they will attempt anything. No matter what they have been told in the past and no matter what others might think they can do. It’s the mindset I want our Design teachers to have. To take risks. To be different. To try something outrageous. And who knows what might happen?

Looking forward to talking more about this at the Leading a Digital School Conference….. And moving forward together.

Matt Zarb

Reference:

IB Design Guide © International Baccalaureate Organization, 2015

Innovation in Action (Rapid Prototyping)

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Rapid Prototyping……Moving from our presentation on Teaching Innovation to the practical of Innovation in the Classroom, cuts into many areas.  As teachers and students, it can be difficult to cram these into a crowded curriculum and assess them against standards. Innovation as a concept requires measurement of some concepts and ideals that are difficult to quantify in the short term and difficult to measure against sensible / meaningful grades.

Some of these ideas include collaboration, creative problem solving, communication, critical thinking.  Wrapping these in the broader social ideals of global citizenship, entrepreneurial literacy, environmental awareness and ethics we start to provide a very broad place to operate within, one where we can focus on what students do; actions here are important.

In our workshop, Innovation in Action, at the Leading a Digital School Conference 2019 we will unpack some of these, as well as how to introduce students in a process of evolutionary innovation that follows a framework that fits into any problem solving methodology.

  1. What problem are we solving

    • why and who – we observe the the world and ask questions

  2. How can we solve this problem

    • what tools / skills and resources  do we have that might help, what do we need.
    • What are we actually going to do to solve the problem.
    • This is often the ideation stage.

  3. Plan and build

    • Prototype the solution

  4. Test and Evaluate

    • Did our solution work? (If not we can re-prototype)
    • How do we know it worked? (testing)
    • Did we deliver the product / service we said we were going to?

These fit most problem solving methodologies and are flexible enough to be adapted.

Our workshop will take attendees through a rapid version of this, where you will be expected to look at the world, discover a problem, come up with a solution, prototype the solution, and evaluate the solution.

We will use peer evaluation and presentation of solutions to evaluate this and most people will be able to take their prototype away with them.

Our workshop can be scaled and can be adapted to most year levels, and we provide concrete examples of differentiation.  What we won’t talk about is how we assess this, to find out why we don’t formally assess Innovation in Action, you will need to attend our presentation on Teaching Innovation.

Mr Jon Roberts

Artificial Intelligence (AI) in school education: are you ready for it? *

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Artificial IntelligenceInterest in the use of Artificial Intelligence (AI) in Australian schools is growing. More educators are participating in important exchanges about AI as understanding develops around how it will impact the work of teachers and students in schools. This post – it first appeared on AARE EduResearch Matters blog in September 2018 – adds to nascent conversations on AI and raises issues and questions that are critical as we start to think about AI in school education.

What do we mean by ‘Artificial Intelligence’?

Defining the term ‘Artificial Intelligence’ or AI as it is commonly known is tricky because the field is so interdisciplinary, and AI relates to many different branches of knowledge including computer science, education, game design and psychology, just to name a few.

I like the definition offered by Swedish-American physicist and cosmologist Max Tegmark. He describes Artificial Intelligence systems as being ‘narrowly intelligent because while they are able to accomplish complex goals, each AI system is only able to accomplish goals that are very specific.’

I like this definition because it mentions how complex AI can be but makes us focus on the reality that AI is narrowly focused to fulfill specific goals.

We already live in a world full of AI systems including Siri, Alexa, GPS navigators, self-driving cars and so on. In the world of education big international companies are currently working on or already marketing AI systems that develop “intelligent instruction design and digital platforms that use AI to provide learning, testing and feedback to students”.

We need to pay attention to how AI will impact pedagogy, curriculum and assessment in schools, that is, how it will impact end users (teachers and students). There is a lot to think about and talk about here already.

Artificial Intelligence in Education

Conversations about Artificial Intelligence in Education (AIEd) have been going on for many years in the world of education. This year the London Festival of Learning organised by Professor Rose Luckin and her team brought together scholars from around the world in the fields of AIEd, Learning at Scale (large scale online learning platforms) and the Learning Sciences.

Closer to home the NSW Department of Education has been on the front foot in raising awareness of AIEd in a series of papers in its Future Frontiers agenda. This is a compilation of essays that canvas “perspectives from thought leaders, technology experts and futurists from Australia and around the world.” These are helpful and well worth seeking out to inform budding discussions you might want to have about AIEd.

Questions for schools and teachers

It is important for researchers and teacher educators like myself to explore how AIEd will supplement and change the nature of teachers’ work in schools. We need to understand how this can be done in education so that the human intelligence and the relational roles of teachers dominate.

How will schools be involved? And how could the changing education landscape be managed as the subject of AIEd attracts more attention?

Leading research scientist and world expert in AIEd at University College London, Professor Rose Luckin (who incidentally is a former teacher, school governor, and AI developer/computer scientist), captures the core argument when it comes to school education. She says: It’s more about how teachers and students will develop sufficient understanding of AIEd so that it can be augmented by human intelligence when determining what AIEd should and should not be designed to do. For example, Luckin suggests if only purely technological solutions dominate the agenda then what AIEd can offer for change and transformation in teaching and learning will be limited.

The Australian Government’s Innovation and Science Australia (2017) report, Australia 2030, recommends prioritisation of the “development of advanced capability in artificial intelligence and machine learning in the medium- to long-term to ensure growth of the cyber–physical economy”.

It also lists education as one of its “five imperatives for the Australian innovation, science and research system” that will equip Australians with skills relevant to 2030, thus highlighting the need to understand the implications of AIEd for schools.

Critical moment for school education

There is conclusive international evidence that we are at a critical moment for setting clearer directions for AIEd in school education.

With crucial questions being asked internationally about AIEd and national reports like Australia 2030 published we must start to probe Australian policy makers, politicians, school principals, students and parents, as well as the teaching profession more broadly about such vital issues.

Schools are one focus of the agenda, but how are teacher education programs in universities preparing preservice teachers for this future? Are we considering questions of AI in our preparation programs? If we need to lift the skill levels of all school students to work in an AI world then what changes might we need to make to accommodate AI in school curriculum, assessment, pedagogy, workload and teacher professional learning?

The debate about robots replacing teachers is not the main event. There will be assistants in the form of a dashboard/s for instance but humans will still do all the things that machines cannot do.

Moreover there is also a great need for deeper understandings of learning analytics. There are also questions of opaque systems, bias in algorithms, and policy/governance questions around data ethics. Such topics could form foundational programs in teacher education courses.

More hard questions

What implications do AIEd and automated worlds have for school infrastructure? How can higher education and industry support schools to be responsive and supportive to this rapidly changing world of AI?

Leaping back to the London Festival of Learning for one moment, Professor Paulo Blikstein, from Stanford University, in his keynote address painted a grim picture of the dangers that lie ahead and he told his audience that it is time to ‘make hard choices for AIEd.’

He explained a phenomenon of We Will Take It From Here (WWTIFH) that happens to researchers. It is when tech businesses tell researchers to ‘go away and play with their toys’ and that they will take over and develop the work technologically … taking over things “in the most horrible way”. Blikstein outlined how most tech companies use algorithms that are impervious and don’t consult with the field – there are few policy or ethical guidelines in the US that oversee decision making in these areas – it’s a “dangerous cocktail” described by Blikstein’s formula of:

WWTIFH + Going Mainstream + Silicon Valley Culture + Huge Economic Potential = DANGER.

I agree with his caution in that people in positions of power in teaching and learning in education need to be aware of the limitations of AI. It can help decision makers but not make decisions for them. This awareness becomes increasingly important as educational leaders interact and work more frequently with tech companies.

In teacher education in Australian universities we must begin to talk more about AIEd with those whom we teach and research. We should be thinking all the time about what AI really is and not be naïve and privilege AI over humans. There are many participants in the AIEd conversation and those involved in education at all levels in Australian schools have an important voice. This is a serious and necessary dialogue.

*This post touches on some of the key themes in a spotlight session conducted by Dr Hunter at the Leading a Digital School Conference being held on 8, 9 and 10 August 2019 in Melbourne.

Use gamification to reach every student!

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As teachers, we hope that all students are engaged during the whole class period. However, for most of the time, there still exits a small proportion of students who seem to be un-interested in what we are talking about. The issue of student engagement has always been my first priority so I continue to seek out ways that would help students to engage more. Today, I would like to share some gamification strategies that I have found useful to reach every student.

Strategy 1: Incorporate classical games with the content knowledge.

Have you ever considered incorporating classical games with the content knowledge that we are teaching? One thing I have found to be powerful in a classroom is to add our content knowledge as an element of classical games such as jigsaw puzzles, jeopardy, coloring, cut and paste, mad lid etc. With the help of Google slides, nowadays we can easily turn the puzzles of the classical games into solving and assessing the content knowledge that we covered a few minutes ago. For example, instead of asking trivia questions in a jeopardy, why not ask them to solve the solutions of a quadratic equation!

Picture 1: Incorporate classical games with the content knowledge

Incorporate classical games with the content knowledge

Strategy 2: Lock and Unlock/Rules and Reward

Another thing I love about gamification is that it creates excitement in class. Imagine that you and I have to unlock the envelope in limited time. Wow! How fun is that! Who wouldn’t fall in love with the kinetic experience plus the uncertainty of mystery? If you’re looking for something easy to implement, how about trying the simplest “Rules and Reward”. When students follow the rules, then they get to enjoy the reward. Something as simple as “turn in your assignments in time to get 5-minutes study break,” works out perfectly for my students.

Picture 2: Lock and Unlock/ Rules and Rewards

Lock and Unlock/ Rules and Rewards

Strategy 3: Gamification Software

I also found some gamification platforms that are made just for the purpose of gamification. My favorite two are: Pagamo and Classcraft. Pagamo is a Role-Play-Game incorporating content knowledge assessment. Students need to get their lands and earn some special props by answering the question correctly. Classcraft is a fancy gamification platform. By setting rules for each class, students can get different rewards in the classcraft platform and level up! How cool is that!

Picture 3: Gamification platforms: www.pagamo.org and www.classcraft.com

Gamification platforms: www.pagamo.org and www.classcraft.com

Gamification can be a great tool for teachers to keep students engaged and eventually reach every student! I love gamification because of the excitement and fun. If you’re looking for something that creates an unique experience for your students, maybe you should consider trying to gamify your class!