Experiential learning in physical geography using arduino low-cost environmental sensors

Pearce, Reagan; Chadwick, Michael A.; Francis, Robert A.

doi:10.1080/03098265.2022.2155804

Cited by 3 publications

(3 citation statements)

References 52 publications

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“…The logger, therefore, is not applicable in all research or monitoring settings due to issues with accuracy, but budgets and research standards permitting, could assist in the collection of baseline data that could direct and inform future study. The hidden costs of research and development of “build-it-yourself” loggers would suggest that this is only applicable in certain scenarios, such as for university research or citizen science programmes [ 7 , 31 ]. The role, therefore, of low-cost monitoring solutions in wider environmental monitoring schemes (especially long-term monitoring) is questionable, but the high spatial and temporal resolution of the data that can be collected as well as microcontrollers themselves have potential in the development of low-cost sensors.…”

Section: Discussionmentioning

confidence: 99%

Low-Cost Approach to an Instream Water Depth Sensor Construction Using Differential Pressure Sensors and Arduino Microcontrollers

Pearce,

Chadwick,

Main

et al. 2024

Sensors

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Accurate hydrological data with high spatial resolution is important for flood risk and water resource management, particularly under the context of climate change. The cost of monitoring networks, as well as the characteristics of the hydrological environment itself, can be a barrier to meeting these data requirements, however. This study covers the design and testing of a low-cost, “build-it-yourself”, instream water depth sensor providing an assessment of its potential in future hydrological monitoring projects. The low-cost sensor was built using an Arduino microcontroller, a differential pressure sensor and a thermistor, a real-time clock, and an SD card module. The low-cost logger was deployed in tandem with a factory-calibrated Solinst®LevelLogger® 5 Junior for 6 months in the River Wissey, UK. We found the mean absolute error of the Arduino-based logger relative to the commercial setup to be ±0.69 cm for water depth and ±0.415 °C for water temperature. Economically, the Arduino-based logger offers an advantage, costing a total of £133.35 (USD 168.26 at time of publication) comparative to the industrial comparison’s cost of £408 (USD 514.83 at time of publication). This study concludes that the low cost of the Arduino-based logger gives a strong advantage to its incorporation in hydrological data collection, if the trade-offs (i.e., time investment and accuracy) are considered acceptable and appropriate for a project.

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Section: Discussionmentioning

confidence: 99%

Low-Cost Approach to an Instream Water Depth Sensor Construction Using Differential Pressure Sensors and Arduino Microcontrollers

Pearce,

Chadwick,

Main

et al. 2024

Sensors

Self Cite

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“…Experiential, field-based learning complements the complex, interdisciplinary nature of physical geography. New technologies can expand access to the field in the classroom [59,60]. Specifically, field-based learning plays a crucial role in physical geography education because doing fieldwork rather than acquiring geographical content (lecture, flat 2-D textbook imagery, teachers' narratives) provides learners with experiences that deepen their understanding of real-world phenomena [61,62].…”

Section: Discussionmentioning

confidence: 99%

Designing Virtual Pathways for Exploring Glacial Landscapes of Glacier National Park, Montana, USA for Physical Geography Education

Gielstra,

Moorman,

Kelly

et al. 2024

Education Sciences

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Virtual field trips in physical geography transcend our human limitations regarding distance and accessibility, allowing students to experience exemplars of physical environments. These experiences can be critical for students to connect to the physical world beyond traditional classroom formats of communicating themes and features in physical geography. To maximize the learning potential of these experiences, designers must engage in a translational process to take resources and content from the physical world and migrate it to an online, virtual format. However, these virtual learning experiences need to account for how learners learn; and should draw heavily on the foundations of educational research and field sciences, while highlighting the awe and beauty of the natural landscape itself. Crafting these spatial stories of the natural world with learning elements requires careful and intentional design to maximize the perception of physical features, patterns, and processes at the landscape scale. To help field-trip developers comprehend the workflows used to create perceptible, rich environments that spur students’ learning, we propose a development process (TECCUPD) as a guide to navigate the intersection of education and science, using an example of geodiversity and alpine glacial landscapes found in Glacier National Park, Montana.

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“…Geography education has special challenges, especially in explaining abstract and complex concepts such as population migration patterns, ecosystem interactions, and the impacts of climate change (Pearce et al, 2022). This is where geospatial technology comes in.…”

Section: Introductionmentioning

confidence: 99%

Integrating Geospatial Technology in Learning: An Innovation to Improve Understanding of Geography Concepts

Manakane,

Latue,

Rakuasa

2023

Education

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This research discusses the integration of geospatial technology in geography learning as an innovation to improve students' understanding of geography concepts. This research uses literature study method to investigate the importance of geospatial technology integration in geography learning with the aim of improving students' understanding of geography concepts. The results show improvements in visualization of abstract concepts, introduction of global and local concepts, development of analytical skills, and more active student interaction. Constraints such as facility availability and teacher training were also recognized. The integration of geospatial technology opens up opportunities for more engaging and effective contextualized learning in the digital era.

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Experiential learning in physical geography using arduino low-cost environmental sensors

Cited by 3 publications

References 52 publications

Low-Cost Approach to an Instream Water Depth Sensor Construction Using Differential Pressure Sensors and Arduino Microcontrollers

Low-Cost Approach to an Instream Water Depth Sensor Construction Using Differential Pressure Sensors and Arduino Microcontrollers

Designing Virtual Pathways for Exploring Glacial Landscapes of Glacier National Park, Montana, USA for Physical Geography Education

Integrating Geospatial Technology in Learning: An Innovation to Improve Understanding of Geography Concepts

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