Using Minidrones to Teach Geospatial Technology Fundamentals

With an increased level of interest in promoting science, technology, engineering, and maths (STEM) careers, there are many ways in which drone and geospatial technology can be brought into the education system to train the future workforce. Indeed, state-level government policies are even stipulating that they should be integrated into curriculum. However, in some cases, drones may be seen as the latest toy advertised to achieve an education outcome. Some educators find it difficult to incorporate the technology in a meaningful way into their classrooms. Further, educators can often struggle to maintain currency on rapidly developing technology, particularly when it is outside of their primary area of expertise as is frequently the case in schools. Here, we present a structured approach to using drones to teach fundamental geospatial technology concepts within a STEM framework across primary/elementary, middle, secondary, and tertiary education. After successfully working with more than 6000 participants around the world, we encourage other scientists and those in industry using drones as part of their research or operations to similarly reach out to their local community to help build a diverse and strong STEM workforce of the future.


Introduction
Over the past decade, drones have become useful tools for collecting scientific data, in particular aerial photography. These aerial images have been used across a variety of mapping applications including (but not limited to) assessing agricultural crop health [1][2][3], biodiversity [4], coral reef benthic habitats [5][6][7][8], estuarine habitats [9], forest structure [10,11], topography and geomorphology [12], fires and disaster management [13][14][15][16], and rangelands [17]. As a commercially available and relatively cost-effective platform, drones have democratized remote sensing data capture by allowing individuals to capture their own data rather than rely on expensive and highly specialized aerial survey companies. Opening the market for individuals to capture their own data has therefore provided considerable benefits across many scientific disciplines.
With drone-based aerial data capture so easily accessible, the skills of mission planning and photogrammetry are also no longer locked-up with specialist aerial surveyors. A variety of software applications are available to assist users with planning data capture missions, though some fundamental skills are still required to ensure the data are useful [18]. This foundation knowledge can make the difference between capturing 'pretty pictures' and data from which robust and reliable information can be extracted.
As drone platforms and their associated software become more advanced, the entry level for capturing robust data is lowered. Many off-the-shelf platforms operate in similar ways, are stable and safe in flight, and are capable of semi-autonomous missions [19]. This means that the physical flight 2 of 11 component is less challenging to master, and the user can focus on the data capture specifications. The skills are also transferable across different platforms. It is this simplicity and similarity between platforms that allows us to use the most basic minidrones to teach geospatial technology fundamentals that are still applicable with more advanced platforms, including traditional aerial survey aircraft and satellite imaging systems. This same simplicity means that we can educate students of all ages and backgrounds.
With the applications of drone-captured data becoming more valuable to the scientific community and remote-sensing industry, it is within the interest of these groups to encourage early exposure and education for students to the foundations of this technology. Therefore, the aim of this paper is to describe a structured learning program that can be used by teachers and drone industry professionals to engage with students. The goal of the program is to use drones to promote confidence in geospatial foundations and provide meaningful insight into the possibilities of drone-based technology in the future workforce. We further hope that by providing a simple framework to educate and engage, we can encourage those who use drones as part of their research and operations to similarly engage with their local schools to share their experiences, act as role models, and help increase diverse and inclusive representation in the industry.

Contextual Background
The State Government of Queensland, Australia, is at the forefront of supporting the emerging drone industry. In 2017, they released their Drone Strategy, which calls for drones to be considered within the school curriculum and included within the Department of Education's science, technology, engineering, and maths (STEM) programs [19]. The rationale for this is to prepare students for future workforce opportunities where this emerging technology is being used.
However, introducing drones into education programs needs to go beyond learning basic flight skills. While the drone itself may represent exciting technology and bring with it a thrill of flying, drones bring an opportunity to think more broadly about using technology to solve sophisticated challenges. Indeed, as automation technology develops over the coming years, we will see less need for manual drone pilot skills [20,21]. Instead, there will be an increasing requirement for analytical and data skills [22,23] around using drones as a tool to solve problems.
Using drone technology to solve problems also links with other state-based strategic interests. The Queensland Government's Space Industry Strategy, released in 2020, positions drones as part of the earth observation sector, and a key component of growing Queensland's aerospace industry [24]. The strategy further references the Department of Education's STEM programs, and the need to build teacher capabilities, and engage more students in STEM learning. Fortunately, drone technology is one such area that inspires interest across a broad range of students [25,26].
With drones being positioned by government and industry in the earth observation sector, integrating geography skills into drone-based learning is crucial to ensuring that students develop relevant skills for the future. Geosciences has been identified as one of the three most important emerging and evolving disciplines, alongside nanotechnology and biotechnology [27]. However, the demand for a geo-enabled workforce is starkly contrasted with student enrolment [25]. Geography in the Australian Curriculum is classified under Humanities and Social Sciences, and runs the risk of being overlooked in the Queensland Governments call to include drone education under the STEM the curriculum. Through the Geography curriculum, students gain knowledge and understanding of the interconnectedness of people and environments, as well as consumer needs and economic drivers. This is overlaid with skills related to questioning, research, data analysis, evaluation, reflection, and communication. These are critical skills for the future workforce, and where drone-specific elements can be woven into the Australian Curriculum to provide engaging, real-world applications for students in the classroom.
Spatial thinking is a crucial skill for the future workforce, and the current curriculum's dissociation of geography from the more heavily supported STEM subjects may be contributing to the lack of Drones 2020, 4, 0057 3 of 11 geospatial professionals. This may be addressed by better positioning STEM as a cross-curriculum learning opportunity, rather than in a siloed approach to subjects. A report by the Australian Council for Educational Research has voiced similar concerns that teaching school subjects in isolation from each other is not preparing students for work in the 21st century, where interdisciplinary skills will become increasingly required to address societal challenges [23].
Interdisciplinary teaching approaches often require students to identify a problem and generate a solution, and drones are one option for supporting these opportunities in an enjoyable way [28]. Such opportunities will hopefully support developing a future workforce with an emphasis on creating rather than just consuming technology [29]. With this in mind, we describe below the challenges faced when using drones as a learning support tool in schools to encourage geospatial and STEM thinking, as well as an approach we are currently using to overcome the challenges and provide exciting learning opportunities. We consider this from the perspective of a classroom teacher who is aiming to implement authentic drone education themselves, but also from the perspective of a drone professional who may wish to consider offering their industry experience as a role model to a local school.

The Challenges of Drones in Schools
There are two key areas of challenge to consider when bringing drones and other emerging technology into the classroom:

1.
Skills and expertise of the classroom teacher; and 2.
Understanding and implementing the regulatory framework, including developing appropriate risk management procedures.
Further, it is often difficult to address the regulatory framework in the absence of the appropriate skills and expertise of the teaching staff.

Teaching Expertise
A report by the Australian Council for Educational Research found that 26% of Grade 7-10 teachers and 15% of Grade 11-12 teachers were teaching out-of-field [30]. Teaching out-of-field is where qualified teachers are assigned subjects for which they have not studied above a first year at university, and have not studied the appropriate teaching methodology [31]. Without this experience, out-of-field teachers lack content knowledge as well as the correct pedagogical approach required to effectively engage the students in meaningful learning.
A key attribute of highly effective teachers is a thorough understanding of the subjects they teach [32]. Teaching subjects outside of their discipline knowledge reduces teacher competence, which has been directly linked to teacher burnout rates [33]. The impacts of out-of-field teaching are also directly related to low-quality student learning, and decreases in effective classroom management, impacting student engagement [34]. Geography and Information Technology (IT) have some of the highest rates of out-of-field teaching (40% and 34%, respectively) and maths and physics have out-of-field teaching rates of around 20% [30]. For teachers already struggling with the implications of out-of-field teaching and preparing lessons for subjects outside of their expertise, bringing drones and technology into the classroom can be a daunting task [35]. To help overcome these barriers, in this paper, we propose a framework for a standardised program to provide a step-by-step process of introducing drones into student learning, building industry standard skills, and creating future role models in the process ( Figure 1).

Figure 1.
Introducing drone technology into the classroom via structured programs may increase STEM participation in schools, leading to an increase in these skills in the future workforce, and creating role models to inspire the next generation of students. This positive spiral has the potential to rapidly grow the industry. Without an intervention or appropriate upskilling for teachers, the downward spiral may be realised.
From 1994-2012, there was a decrease in the number of students enrolling in intermediate to advanced mathematics (−12% and −6%, respectively), and decreases of 6-8% in participation in all science subjects except for earth science (+0.3%) [36]. In the absence of more recent data, it is unclear if this trend has further declined; however, Australia has seen a marked deterioration in student scores based on reading, mathematical and scientific literacy across all schooling levels according to the Programme for International Schools Assessment (PISA) [37]. These reports highlight the need for further support to be provided to teachers, if we are going to increase the number of students, with the right skills, and the right content knowledge, to join a STEM workforce.

Risk Management
In Australia, drones are governed by the Civil Aviation Safety Authority (CASA), and there are clear regulations around how they can be used, both indoors and outdoors. In other countries, using drones indoors is often not covered by the Federal aviation authorities. Teachers should therefore always research the specific government regulations around flying drones or minidrones in their school before planning to incorporate them into classroom activities.
In addition to federal regulations, teachers are required to undertake a risk identification process and mitigate risks in a similar way to other learning activities and programs. Flying minidrones within the confines of a school gymnasium or classroom is not without risk, but some basic mitigation strategies are simple to implement (Table 1).

Figure 1.
Introducing drone technology into the classroom via structured programs may increase STEM participation in schools, leading to an increase in these skills in the future workforce, and creating role models to inspire the next generation of students. This positive spiral has the potential to rapidly grow the industry. Without an intervention or appropriate upskilling for teachers, the downward spiral may be realised.
From 1994-2012, there was a decrease in the number of students enrolling in intermediate to advanced mathematics (−12% and −6%, respectively), and decreases of 6-8% in participation in all science subjects except for earth science (+0.3%) [36]. In the absence of more recent data, it is unclear if this trend has further declined; however, Australia has seen a marked deterioration in student scores based on reading, mathematical and scientific literacy across all schooling levels according to the Programme for International Schools Assessment (PISA) [37]. These reports highlight the need for further support to be provided to teachers, if we are going to increase the number of students, with the right skills, and the right content knowledge, to join a STEM workforce.

Risk Management
In Australia, drones are governed by the Civil Aviation Safety Authority (CASA), and there are clear regulations around how they can be used, both indoors and outdoors. In other countries, using drones indoors is often not covered by the Federal aviation authorities. Teachers should therefore always research the specific government regulations around flying drones or minidrones in their school before planning to incorporate them into classroom activities.
In addition to federal regulations, teachers are required to undertake a risk identification process and mitigate risks in a similar way to other learning activities and programs. Flying minidrones within the confines of a school gymnasium or classroom is not without risk, but some basic mitigation strategies are simple to implement (Table 1).

Success with Drones in Schools-Our Approach
There are many different ways in which drone technology can be introduced to students. Here we describe the approach that we have used over the past three years to provide an immersive learning experience that is flexible enough to engage students of all ages. We introduce the interdisciplinary and real world tenets that are fundamental to STEM education and encourage students to conceptualise problems and design solutions with geospatial thinking, rather than button clicking [25,38].
Over the course of 2.5 h, we encourage students to imagine themselves as geospatial scientists and professional drone pilots first on the scene of an area impacted locally relevant natural disaster. They then use a minidrone (e.g., Parrot Mambo [39] or DJI Tello [40]) to capture data (photos) to document the extent of the damage to share with a hypothetical local authority. In 'crew' of three, they are given rotating roles of the pilot in charge, co-pilot, and chief reporter. These roles are designed to mimic job requirements on a mapping mission, and are deliberately incorporated so that students can imagine themselves as a scientist rather than concede to the common 'white lab coat' stereotype of the profession [41]. Together, the students work in their crews to conceptualise the problem and apply their knowledge to design a mapping solution, using experiential learning [42]. Importantly, all students are actively involved in flying and programming their drones, rather than passively observing ( Figure 2).

Success with Drones in Schools-Our Approach
There are many different ways in which drone technology can be introduced to students. Here we describe the approach that we have used over the past three years to provide an immersive learning experience that is flexible enough to engage students of all ages. We introduce the interdisciplinary and real world tenets that are fundamental to STEM education and encourage students to conceptualise problems and design solutions with geospatial thinking, rather than button clicking [25,38].
Over the course of 2.5 h, we encourage students to imagine themselves as geospatial scientists and professional drone pilots first on the scene of an area impacted locally relevant natural disaster. They then use a minidrone (e.g., Parrot Mambo [39] or DJI Tello [40]) to capture data (photos) to document the extent of the damage to share with a hypothetical local authority. In 'crew' of three, they are given rotating roles of the pilot in charge, co-pilot, and chief reporter. These roles are designed to mimic job requirements on a mapping mission, and are deliberately incorporated so that students can imagine themselves as a scientist rather than concede to the common 'white lab coat' stereotype of the profession [41]. Together, the students work in their crews to conceptualise the problem and apply their knowledge to design a mapping solution, using experiential learning [42]. Importantly, all students are actively involved in flying and programming their drones, rather than passively observing (Figure 2).

Learning Framework around School Drone Program
The following components are ubiquitous to geospatial drone data capture missions, regardless of the specific scenario or equipment: 1. Safety check to consider the location (in conjunction with local regulations), personal protective equipment, and the drone with its accessories; 2. Create a flight plan (manual or autonomous) to ensure areas of interest are adequately captured in the detail required; and 3. Evaluate flight plan and data captured for quality and coverage.
Using the above components, we created activities that can be used across K-12 and tertiary education to introduce students to fundamental concepts of geospatial technology. Specific learning

Learning Framework around School Drone Program
The following components are ubiquitous to geospatial drone data capture missions, regardless of the specific scenario or equipment:

1.
Safety check to consider the location (in conjunction with local regulations), personal protective equipment, and the drone with its accessories; 2.
Create a flight plan (manual or autonomous) to ensure areas of interest are adequately captured in the detail required; and 3.
Evaluate flight plan and data captured for quality and coverage.
Using the above components, we created activities that can be used across K-12 and tertiary education to introduce students to fundamental concepts of geospatial technology. Specific learning objectives and activities covered are age appropriate in three case study groups-elementary/primary; Drones 2020, 4, 0057 7 of 11 middle/secondary; and tertiary. The program is also mapped to the national curriculum standards in Australia.
We used Bloom's Taxonomy [43] in our pedagogical approach to encourage learning that goes far deeper than the simple pleasure of flying. As any scientist who uses drones for data capture will attest to, the manual flight component of a project is miniscule when compared to the essential tasks of planning the mission and evaluating the data. With a problem-based learning approach, the program allows students to progress through the Taxonomy from remember to understand, apply, analyse, evaluate, and finally to the highest order to create new ideas, thoughts, and processes.
We designed the 'real-world' problem-based scenario specifically to exploit the benefits of collaborative community and create an authentic learning environment [29]. We scaffold the task with the drone mission components mentioned above: 1.
Safety-All students regardless of age or education level are required to undertake a pre-flight safety check. Our safety checklist is freely available within the Epicollect5 mobile application by searching 'minidrone'. We use this to guide students through a discussion about where and how to operate their drone safely and legally.

2.
Flight Planning-We set up a large cloth floor mat of a satellite image in a local area. It is also possible to use Lego or similar to create the impacted township. Students review the area and sketch a conceptual design of their flight plan. They then use the mobile applications Tynker [44] (for Parrot Mambo), Tello EDU [45] or DroneBlocks [46] (for DJI Tello) to program their drone to conduct an autonomous mission and capture the data. It is also possible to use Scratch, Python, or JavaScript to program the drone.

3.
Evaluate-Students evaluate how effective their code was in making the drone fly according to their mission, make adjustments to their plan, and re-fly if required.
In order for the program to be successful and challenging to students of varying ages and experiences, we have tailored aspects of the general framework accordingly. It is important to recognize that these activities can be undertaken by a confident classroom teacher, but we are also advocating for other scientists and industry professionals to use our framework to get involved with their local schools.

Elementary/Primary Education
Youngest students focus on personal safety and responsibility rather than federal aviation regulations. High adult to student ratios for supervision are also critical. We introduce block coding with upper primary/elementary students, and practice manual flight with the younger grades. Manual flight is used to improve fine motor skills and spatial visualization [28], as well as to ensure students begin to understand basic flight operations.

Middle/Secondary Education
Students in this age group are ready to see the link between using minidrones and drones that are better suited to capturing data under real-life scenarios. They can start to use more advanced text-based software programming for their mission planning (e.g., Python and Swift) as well as incorporating looping or repeat functions within their code. Programming skills are important within the digital technologies curriculum, and are also of great benefit to scientists more broadly for processing large datasets [47], so this is a good introduction. Students explore their mission planning solutions and the tradeoffs between area covered and spatial detail achieved when altering flight altitude.
In some cases, students may have access to a larger drone (or data captured from one) and we introduce basic GIS mapping analysis and show the link between the minidrone activities and 'real world' applications. One popular activity is to create an orthomosaic and digital surface model (DSM) of school grounds, and assess the amount of tree shade available (Figure 3). This allows students to explore their school campus from a new perspective, and also make recommendations to the school for ways to increase shady recreation space. explore their school campus from a new perspective, and also make recommendations to the school for ways to increase shady recreation space.

Tertiary Education
Tertiary students also explore the foundation learnings similar to younger students as per Sections 4.1.1 and 4.1.2. However, we extend the focus to remote sensing and the capabilities of the sensor or payload on the drone. Students use the minidrone to calculate camera field of view, image swath width, and pixel resolution at any given flying height. This provides them with practical skills related to determining the spatial characteristics of data sets they may acquire. They are then required to synthesise this with their theoretical knowledge of spectral and temporal requirements of data capture, as well as necessary overlap and sidelap of photos within mission planning. This allows them to design an optimal data collection mission under a given scenario to resolve an environmental challenge.

Evaluating School Drone Programs
To date, we have used the above approach to run in excess of 250 programs with more than 6000 participants in schools and community groups around Australia, the United Kingdom, the United States, and Indonesia. We have further trained local volunteers with drone or geospatial backgrounds based in Nepal, India, Tanzania, Panama, Fiji, Jamaica, Papua New Guinea, Senegal, United States, the Philippines, Mongolia, and Uganda who are able to apply the learning framework in their own context, in the local language. It is incredibly important to partner with volunteers from local communities to run this type of training for it to become a sustainable learning model [48]. Local scientists and industry representatives are familiar with the inherent challenges of their locations that they need to overcome [49], and also provide more authentic role models and learning experiences for local students.
We are, therefore, confident that the concepts and structure have a robust formula that can be replicated around the world to help build an interest and skills in drone and geospatial technology. Independent research conducted prior to, and following a subset of our programs indicated that more girls would consider STEM subjects in the future after participating in the program [50]. However, the authors also caution against labelling activities as 'STEM', as often this may only attract those students who are already predisposed to having an interest in that area. Therefore, it is important to show the range of exciting applications of drone technology to capture the attention of students with diverse interests and perspectives to offer the future workforce. More work is required to conduct a longitudinal study to determine the long-term impact of interventions and programs like this on students and their future career paths.

Tertiary Education
Tertiary students also explore the foundation learnings similar to younger students as per Sections 4.1.1 and 4.1.2. However, we extend the focus to remote sensing and the capabilities of the sensor or payload on the drone. Students use the minidrone to calculate camera field of view, image swath width, and pixel resolution at any given flying height. This provides them with practical skills related to determining the spatial characteristics of data sets they may acquire. They are then required to synthesise this with their theoretical knowledge of spectral and temporal requirements of data capture, as well as necessary overlap and sidelap of photos within mission planning. This allows them to design an optimal data collection mission under a given scenario to resolve an environmental challenge.

Evaluating School Drone Programs
To date, we have used the above approach to run in excess of 250 programs with more than 6000 participants in schools and community groups around Australia, the United Kingdom, the United States, and Indonesia. We have further trained local volunteers with drone or geospatial backgrounds based in Nepal, India, Tanzania, Panama, Fiji, Jamaica, Papua New Guinea, Senegal, United States, the Philippines, Mongolia, and Uganda who are able to apply the learning framework in their own context, in the local language. It is incredibly important to partner with volunteers from local communities to run this type of training for it to become a sustainable learning model [48]. Local scientists and industry representatives are familiar with the inherent challenges of their locations that they need to overcome [49], and also provide more authentic role models and learning experiences for local students.
We are, therefore, confident that the concepts and structure have a robust formula that can be replicated around the world to help build an interest and skills in drone and geospatial technology. Independent research conducted prior to, and following a subset of our programs indicated that more girls would consider STEM subjects in the future after participating in the program [50]. However, the authors also caution against labelling activities as 'STEM', as often this may only attract those students who are already predisposed to having an interest in that area. Therefore, it is important to show the range of exciting applications of drone technology to capture the attention of students with diverse interests and perspectives to offer the future workforce. More work is required to conduct a longitudinal study to determine the long-term impact of interventions and programs like this on students and their future career paths.

Conclusions
The rise of drones captured the attention and imagination of scientists around the world. It has also allowed us to put geospatial technology in the hands of students of all ages with a fun 'toy' as a learning support tool. We have used these minidrones to create a real-world, hands on STEM program to teach geospatial technology fundamentals with a problem-based learning approach. The framework of the program supports students to progress from basic knowledge and understanding through to synthesising ideas and creating new solutions. This program can be tailored to students across all age levels, from primary/elementary through to tertiary, and also for professional development training. As drones have the ability to be used for a variety of scientific, monitoring, and humanitarian purposes, we further encourage the program as a way to build local capacity in developing countries through training local community volunteers. The local connection is particularly important to provide authentic and sustainable learning opportunities in the local language, with local role models and relevant context. Through helping students to experience geospatial and drone technology in such a fun and interactive program, we hope to encourage a new wave of innovative geospatial scientists in the future workforce. We encourage other scientists who use drones as part of their research and operations to similarly reach out to their local schools to share their experiences, act as role models, and help increase diverse and inclusive representation in STEM.