Participants Feedback: Uploaded SpecialPrograms+Course+Model+Survey_August+15,+2024_06.49 (2).zip

Step 1: Collecting Survey Data

We gathered feedback from participants using a structured Qualtrics survey that is embedded in the course. The survey included questions about their prior knowledge of the ADDIE method, their experience with course activities, the overall effectiveness of the course, and any additional comments or suggestions.

Step 2: Analyzing Survey Results with AI

To analyze the survey results, we used Copilot to identify patterns and trends in the feedback. Below is a summary of the survey results:

Survey Results Summary:

Prior Knowledge of the ADDIE Method:
- One participant was very familiar with the ADDIE method before taking the course.
- One participant was somewhat familiar with the ADDIE method before taking the course.
Experience with Course Activities:
- One participant felt that the activities contributed to their learning of the content.
- One participant felt that the activities somewhat contributed to their learning of the content.
Overall Effectiveness of the Course:
- Both participants rated the course as very effective in facilitating their learning.
Additional Comments:
- Participants suggested incorporating more visuals and how-to guides, but overall, they found it to be a great starter course for learning.

Step 3: Feedback and Recommendations

Based on the survey results, we provided the following feedback and recommendations to enhance the course:

Utilizing More Visuals:
- Infographics: Create infographics to summarize key concepts and processes. This can help in making the content more engaging and easier to understand.
- Videos: Incorporate short instructional videos or animations to demonstrate complex ideas or procedures. This can cater to visual learners and enhance retention.
- Interactive Diagrams: Use interactive diagrams or flowcharts that allow participants to explore different parts of the content at their own pace.
Using AI Tools:
- AI-Powered Analytics: Use AI tools to analyze survey results and identify patterns or trends in participant feedback. This can help in making data-driven decisions for course improvements.
- Chatbots: Implement AI chatbots to provide instant support and answer common questions from participants. This can enhance the learning experience by providing timely assistance.
- Personalized Learning Paths: Use AI to create personalized learning paths based on participants' prior knowledge and learning progress. This can ensure that each participant receives content that is most relevant to their needs.

Step 4: Implementing Changes

We incorporated some elements from the feedback and recommendations to make the course more engaging and effective for participants. This included creating infographics, instructional video, and enhancing the pages with AI.

Step 5: Continuous Improvement

We will continue monitoring and evaluating the effectiveness of the course using AI analytics. This helps us to make ongoing improvements and ensure that the course meets the needs of all participants.

Examples of AI Prompts Used

Here are some examples of the prompts we used to analyze the survey results:

1st Prompt: "Analyze the survey results and provide a summary of the participants' feedback."

Response: "Sure, Nafije! Let's break down the survey results and provide some feedback on how to utilize more visuals and AI tools to enhance the course."

2nd Prompt: "Can you help me create an infographic for the key concepts?"

Response: "Of course, Nafije! I'd be happy to help you create an infographic for the key concepts. Here are some steps and tips to get you started:"

Next Actions

The team decided to build an infographic on Canva using Canva Magic Studio (AI tool). You will see the infographic under D: Development later in this module.