Survey Design/Data Collection

• This chapter concentrates on performing surveys, gathering and analyzing both quantitative and qualitative data, and presenting the results utilizing multimedia tools, specifically presentations
• The chapter emphasizes the practical use of smartphones, tablets, and spreadsheet software with an example of school-based surveys

Data Logging with Devices

• Modern devices such as smartphones and tablets come equipped with built-in sensors usable for data logging, like GPS sensors(location), accelerometer/gyroscope (position and direction), microphone (sound), camera (light), proximity sensor (nearby objects), and magnetometer (phone direction)
• An example shows the capacity of devices to accommodate specialized sensors (Geiger counter)

Planning a Survey

• It is important to decide what to investigate before designing a survey
• The survey goal should be clearly defined, such as identifying the busiest and noisiest areas in the school at various times of the day, also what people think about the space and sound at these times
• Two main types of data from surveys: quantitative and qualitative
• Quantitative data is numerical data used to measure and compare (e.g., number of people, noise levels)
• Qualitative data is descriptive data providing insights into feelings and opinions (e.g., how classmates feel about noise levels)
• Survey methods include questionnaires (paper or online), interviews, and measuring devices
• When choosing technology, focus on devices that can record data, for example, smartphone counter apps for counting people, smartphone sound meter apps for measuring noise levels, and smartphone voice recorder apps for capturing people's thoughts

Preparing and Carrying Out a Survey

• Surveys are often collaborative and need agreed upon roles, for example: counting people (surveyor 1), recording sound levels (surveyor 2), tracking start and end times (time keeper), and writing down answers of interviewee

Recording Data for Analysis

• Data can be quantitative (number of people, noise level) or qualitative (interview answers)
• Important to agree on a sample time for quantitative data, and if you gather data at various times or places, ensure to use the same sample time
• Open-ended questions preferred when collecting qualitative data to encourage detailed answers: this means it cannot be answered with "yes" or "no"
• Record data on a template, made either on paper or on a spreadsheet

Analysing Data

• Transfer quantitative data to a spreadsheet
• Create graphs from the spreadsheet data to visualize patterns
• Transcribing entails copying qualitative data after a survey, and focus must be on data accuracy
• Type the words into a table or write them down

Creating a Presentation

• Presentation software should be utilized (e.g., Microsoft PowerPoint)
• Include a title slide, introduction, charts (from data analysis), and images
• Improve the presentation by applying themes, transitions, and audio files
• Provide handouts for the audience
• Practice the presentation beforehand and be mindful of factors like pacing, volume, and use of the mouse or keyboard to navigate the slides
• Handouts can aid audience understanding and remembering of the presentation, for example, a printout of the slideshow
• Speak slowly and clearly so that everyone in the room can hear you

Digital Citizenship

• Presentation skills aid communication with friends and colleagues across the world