Data Development Plan

IDT400x Week 1 Assignment: develop a data development plan and begin planning for the type of feedback you can expect to get.

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My capstone course is on mindfulness and meditation, with some of the specific lessons being on breathing technique, various meditations, and how to apply mindfulness concepts to computer work to relieve stress and increase creativity and productivity.

1 | Select one Training Delivery Option

[X] Online (CBT, WBT, E-Learning)
[ ] Home Study (digital workbook)
[ ] Instructor-Led Training (ILT)
[ ] Virtual Instructor-Led Training (VILT)
[ ] Face-to-Face (classroom)

2 | Determine one Evaluative Data Collection Method

[X] Survey
[ ] Knowledge assessment
[ ] Demonstration of skill
[ ] On-the-job training

3 | Determine one Type of Data you Expect to Receive

[X] Qualitative
[X] Quantitative

4 | Executive Summary

Explain your choices and how they all align with a practical instructional design, evaluative, and data collection perspective.

• Training Delivery
  I will develop my courses in Articulate Rise 360, so learners will have a self-paced e-Learning experience. Surveys will be incorporated into the lessons, so they will also be administered online. E-Learning is an appropriate delivery method for this content for a few reasons. Each journey to learning mindfulness is unique and personal, so it is great to be able to learn from the privacy of your own home (or wherever you choose to engage with the lessons) and on your own time. Meditations and mindfulness practices are intended to be done repeatedly, so being able to access and revisit content on-demand is helpful and is done more sustainably through enduring online content than live sessions.
• Evaluative Data Collection Method and Results
  Incorporating the surveys into the lessons themselves should yield a higher response rate than if they are administered separately. In practice, I expect to receive both qualitative and quantitative data. Some questions will have learners reflect on their experiences, which will yield qualitative data. Other questions will have learners rate things such as their stress level and enjoyment of the lessons/meditations, which will yield quantitative data. The combination of qualitative and quantitative data is helpful, I think, in understanding how successful E-Learning courses are and where there might be areas for improvement.
• Data Presentation
  Quantitative data is more impactful in presentation, so it is helpful to gather and use as a framework for understanding the success of and level of engagement with your E-Learning courses. The qualitative data helps fill in the gaps, and quotes from survey responses can offer meaningful support to numbers and ratings.