• Over 16 sensors to explore and collect scientific data
• Over 110 gamified missions with step by step instructions
• Students use visual (Blockly) or text editors to test their code with real time simulation

At the heart of Databot 2.0's power lies its impressive suite of integrated sensors. This compact device boasts a collection of 16 or more sensors, each designed to measure different aspects of the physical world. These sensors can be broadly categorized to understand their diverse applications.

Environmental sensors include those that measure temperature (ambient and external), humidity, carbon dioxide (CO2), volatile organic compounds (VOCs), air pressure, altitude, ambient light, and ultraviolet (UV) radiation.

For studying motion and orientation, Databot 2.0 is equipped with an accelerometer, gyroscope, and magnetometer.

It also features sensors for light and interaction, including color and gesture recognition, as well as short-range and long-range proximity detection.

Furthermore, a sound sensor or microphone is integrated for studying acoustics.

The inclusion of an external temperature probe further expands its measurement capabilities.

While most sources mention 16 sensors, some indicate the possibility of 17, likely including the external temperature probe in the count.

This extensive array of sensors allows for a remarkable range of educational applications across various scientific disciplines. In environmental science, students can explore air quality by measuring CO2 and VOC levels, investigate weather patterns with temperature and humidity sensors, or study the intensity of UV radiation.

Physics experiments can come to life through the accelerometer and gyroscope, enabling the study of motion, forces, and rotation, while the magnetometer allows for the exploration of magnetic fields.

Chemistry students can monitor temperature changes during reactions or analyze the production of gases using the CO2 sensor.

Even life science can be explored by investigating environmental conditions necessary for biological processes.

For advanced projects, the inclusion of UART and I2C ports allows for the integration of third-party sensors and expansion into robotics platforms.10 The sheer number and variety of sensors within a single, compact device offer educators a cost-effective and convenient alternative to managing multiple individual tools. This integration streamlines the experimental process and allows students to see the interconnectedness of different scientific principles, fostering a more holistic understanding of the world around them.

List of 16 Sensors:

• External Temperature Probe
• Humidity
• UVa, UVb and UV Index
• Ambient Light
• CO2 & VOC
• Air Pressure
• Altimeter
• Accelerometer
• Gyroscope
• Magnetometer
• Sound
• Colour
• Gesture
• Short & Long Proximity Sensors

Databot 2.0 Sensor Overview

Technical Specifications - A Closer Look at Databot 2.0

For educators and tech enthusiasts interested in the specifics, Databot 2.0 boasts impressive technical specifications. The device is remarkably compact, typically measuring around 1.67 inches in length and width, and just 0.75 inches in height. It is also incredibly lightweight, typically weighing around 1.2 ounces or 34 grams. The device is powered by an ESP-WROOM-32 processor, known for its capabilities in handling various tasks efficiently.10 It features 4MB of onboard memory, providing ample space for data logging and program storage.

In terms of connectivity, Databot 2.0 supports Bluetooth Low Energy (BLE) for seamless communication with smartphones, tablets, and Chromebooks, as well as Wi-Fi for IoT applications and server mode functionality. It is powered by a rechargeable LiPo 3.7V 500 mAh battery, offering a run time of approximately 4-6 hours on a full charge, with a charge time of about 60 minutes. For programming, Databot 2.0 supports a variety of languages and platforms, including Scratch, Python, Arduino, and MicroBlocks, catering to users with different levels of coding experience. These technical specifications highlight Databot 2.0's advanced capabilities within a remarkably small and efficient design.

Real-World Success Stories - Hear from Educators

Educators who have integrated Databot 2.0 into their classrooms consistently praise its ease of use and significant educational impact.

Jonathan Long, a math teacher, noted, "Having worked with many technical devices over the years, the ease and versatility of the databot™ is what stands out the most! It took only minutes from when I opened the box until I had completed my first experiment! The interface between the Phyphox app and the databot™ is very intuitive and seamless".

Daniel Presta, a Specialist Teacher in Educational Technologies, highlighted its flexibility and durability, stating, "The flexibility and range of concepts that can be taught with databot™ is incredible, and the durability is also quite impressive considering all of the tech that is onboard... I would recommend an army of these little wonders for every classroom!".

Another educator shared their experience using Databot 2.0 with elementary-aged children, who eagerly engaged with experiments measuring CO2 levels, UV light, altitude changes, and gyroscope data, demonstrating the device's ability to captivate young learners.

Case studies further illustrate the diverse applications of Databot 2.0 in education. One project involved students using the device to detect unusual CO2 levels in a school restroom, highlighting its potential for real-world environmental monitoring. Another example showcased students flying drones equipped with Databot 2.0 to collect data, demonstrating its integration with advanced technologies for scientific exploration.

These real-world success stories underscore Databot 2.0's effectiveness in making science education engaging, relevant, and impactful for students of all ages and across various learning environments. The positive feedback from educators and the diverse range of applications highlight its value as a transformative tool in STEM education.

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