Advanced Kobo Toolbox and ODK
Advanced Kobo Toolbox and ODK, available at $19.99, has an average rating of 4.45, with 37 lectures, based on 46 reviews, and has 1076 subscribers.
You will learn about Open and Setting up Kobo Toolbox Account Create Mobile data collection Form using Kobo Toolbox Using Mobile phone to collect data Store collected data on a server and extract it in useful formats for analysis This course is ideal for individuals who are Researchers, data analyst, programme team, monitoring and evaluation, Students and other individuals who want to collect data It is particularly useful for Researchers, data analyst, programme team, monitoring and evaluation, Students and other individuals who want to collect data.
Enroll now: Advanced Kobo Toolbox and ODK
Summary
Title: Advanced Kobo Toolbox and ODK
Price: $19.99
Average Rating: 4.45
Number of Lectures: 37
Number of Published Lectures: 31
Number of Curriculum Items: 37
Number of Published Curriculum Objects: 31
Original Price: $19.99
Quality Status: approved
Status: Live
What You Will Learn
- Open and Setting up Kobo Toolbox Account
- Create Mobile data collection Form using Kobo Toolbox
- Using Mobile phone to collect data
- Store collected data on a server and extract it in useful formats for analysis
Who Should Attend
- Researchers, data analyst, programme team, monitoring and evaluation, Students and other individuals who want to collect data
Target Audiences
- Researchers, data analyst, programme team, monitoring and evaluation, Students and other individuals who want to collect data
Mobile data collection is a method of compiling qualitative and quantitative information with the help of a mobile device (e.g. mobile phone, tablet, etc.).
This approach has been proven to increase the speed and accuracy of data collection, service delivery effectiveness, and program staff performance. Features of mobile data collection, such as decision support, form logic, and checklists, improve the quality of the data collected, while also ensuring adherence to data collection and care protocols.
This course is a hands-on, step by step guide that will teach learners how to setup, administer and manage a mobile based data collection platform using KoBoToolbox. What can you do with KoBoToolbox
· Build complex forms with skip logic and validation using KoBoToolbox Form Builder or XLSForm (XLSForm is recommended for larger forms)
· Collect data offline on a mobile device and send it to a cloud server
· Map data
· Visualize, manage and analyze data
· Store collected data on a server and extract it in useful formats for analysis
Learning Outcomes: At the end of the course, learners will be able to:
· Setup an account in KoBoToolbox
· Digitize any complex questionnaire to a digital form that can be used for data collection on mobile devices and on browsers
· Visualize, manage and analyze data in KoBoToolbox
· Map data in KoBoToolbox
· Collect data on mobile devices and browsers
· Extract data from KoBoToolbox for analysis
Enroll and gain the required skills
Course Curriculum
Chapter 1: Introduction
Lecture 1: Creating Kobo toolbox Account
Lecture 2: How to login into Kobo Toolbox account
Lecture 3: Quick Tour of Kobo Toolbox Interface
Lecture 4: Creating a new Project in Kobo toolbox
Chapter 2: Basics of XLSForm Authoring
Lecture 1: Introduction to XLSForm Authorin
Lecture 2: Minimum columns required for each sheet in XLSForm
Lecture 3: Question types in Kobo toolbox XLSForm
Lecture 4: Authoring first simple XLSForm
Lecture 5: Deploying XLSForm in Kobo Toolbox system
Lecture 6: Downloading Kobo Toolbox android application in mobile device
Lecture 7: Connecting android kobo collect mobile application to online server
Lecture 8: Delete Saved Forms in Kobo collect mobile application
Lecture 9: Downloading submitted data from kobo toolbox online server
Chapter 3: Detailed XLSForm Authoring
Lecture 1: Question type -note
Lecture 2: Question type-date
Lecture 3: Question type-date with no-calendar appearance
Lecture 4: Question type-time
Lecture 5: Question type-text
Lecture 6: Question type-integer
Lecture 7: Question type-decimal
Lecture 8: Question type-calculate
Lecture 9: Question type-select_one
Lecture 10: Question type-select_multiple
Lecture 11: Question type-audio, video and image
Lecture 12: Question type image with signature and draw appearance
Lecture 13: Question type-rank
Lecture 14: Question type-range
Lecture 15: Question type- range with rating appearance
Lecture 16: Question type-geopoint
Lecture 17: Hidden questions
Lecture 18: Improving data quality with required
Instructors
-
Kithinji Charles
M&E Expert
Rating Distribution
- 1 stars: 0 votes
- 2 stars: 1 votes
- 3 stars: 8 votes
- 4 stars: 13 votes
- 5 stars: 24 votes
Frequently Asked Questions
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