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SayPro Student and Instructor Feedback Collection: Analysis and Actionable Insights.
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Prepared by:
Chancellor SCHAR
Date: March 14, 2025
Introduction
As part of the ongoing commitment to providing high-quality Education Technology Literacy courses, SayPro collected detailed feedback from both students and instructors who participated in the February 2025 cohort. This feedback is crucial for evaluating the effectiveness of course content, delivery methods, and the overall learner experience.
The objective of this report is to analyze the feedback collected and categorize it into actionable insights, focusing on both the positive aspects (what worked well) and the areas for improvement (what can be enhanced) to inform future course design and delivery strategies.
1. Feedback Collection Overview
SayPro administered surveys, feedback forms, and conducted focus group discussions with students and instructors at the end of the February cohort. These methods ensured comprehensive input, allowing both groups to share their experiences openly. The feedback was analyzed to identify recurring themes and patterns that can guide the future development of the courses.
2. Categorization of Feedback Insights
The feedback was broken down into two main categories: what worked well and areas needing improvement. The insights from both students and instructors were then categorized by specific themes related to course content, instructional methods, technology use, engagement, and overall satisfaction.
A. What Worked Well
1. Course Content
- Relevance and Currency: A significant majority of students found the course content highly relevant to current technology trends. Topics such as cloud computing, cybersecurity, and artificial intelligence were particularly appreciated for their practical application in the workplace.
- Practical Focus: Students noted that the courses successfully blended theoretical knowledge with practical applications, allowing them to acquire skills they could directly apply in their careers. This was especially true for the modules on hands-on tools like Python programming, Google Suite, and Slack.
- Clarity of Learning Objectives: Both students and instructors reported that the learning objectives were clear from the start of the course, helping students understand what they were expected to learn and how they could apply the knowledge.
- Instructor Expertise: Instructors were well-regarded for their subject matter expertise, particularly in specialized fields like AI and machine learning. Students appreciated the knowledge and real-world experience that instructors brought to the table, which helped contextualize the theoretical concepts.
2. Student Engagement
- Interactive Activities: Students and instructors both praised the inclusion of interactive elements such as live discussions, group projects, and hands-on assignments. These activities were instrumental in keeping students engaged and facilitating deeper learning.
- Instructor Interaction: Instructors were commended for their availability and engagement with students. Students appreciated the frequent opportunities to ask questions during live sessions, the prompt responses to emails, and the clear explanations provided during office hours and online discussions.
- Collaborative Learning: Many students appreciated the opportunity to work in small groups for collaborative assignments, as it allowed them to engage with peers, share ideas, and tackle complex problems together. Instructors noted that the group activities helped build a sense of community among students.
3. Technology and Tools
- Platform Usability: The learning management system (LMS) was generally seen as user-friendly and easy to navigate. Students and instructors noted that the platform facilitated easy access to course materials, schedules, and assignments. The integration of video conferencing tools for live sessions was also positively received.
- Technology Tools for Learning: The use of technology tools such as Google Drive, Slack, and Zoom was widely appreciated. These tools enabled students to easily collaborate, communicate, and share resources throughout the course.
B. Areas Needing Improvement
1. Course Pacing
- Too Fast for Some Students: Several students mentioned that certain topics, especially machine learning and advanced AI concepts, were delivered too quickly, making it difficult for them to keep up. These students requested additional time and supplementary resources (e.g., more practice exercises, recorded sessions) to reinforce their understanding.
- Balancing Depth vs. Coverage: Some students felt that while the content was rich, there were moments when the course moved through complex material too quickly, sacrificing depth for breadth. A more balanced approach between covering a wider variety of topics and diving deeper into specific subjects was suggested.
2. Assignment Clarity
- Lack of Detailed Instructions: Several students expressed confusion regarding assignment instructions. Some assignments lacked clear guidelines, making it difficult for students to fully understand what was expected of them. They requested that assignments be accompanied by more detailed rubrics and example projects to guide them.
- Timing and Deadlines: Some students felt that the deadlines for assignments were too tight, particularly when dealing with complex tasks such as coding assignments or case study analyses. More flexibility in assignment timelines was requested, especially for more challenging modules.
3. Technology Challenges
- Technical Issues with the Platform: While the majority of students found the platform easy to navigate, some experienced technical issues, particularly during live sessions. Problems such as audio/video lag, difficulty accessing course materials, and occasional login issues were highlighted as frustrations.
- Tool Familiarity: Although many students were familiar with basic tools like Google Suite, some struggled with advanced tools like Python or Slack. A portion of students felt that they needed more pre-course training or tutorials to familiarize themselves with the tools before beginning the main content.
4. Instructor Support and Professional Development
- Need for More Training on Online Tools: Some instructors expressed the need for additional training on using the learning management system (LMS) and other teaching tools. Although the available resources were helpful, some instructors felt that they needed more comprehensive technical support to manage online teaching effectively.
- Engagement Strategies for Online Learning: A few instructors mentioned challenges with maintaining student engagement in an online setting. They suggested that additional professional development opportunities be provided to help instructors improve their virtual classroom management skills and increase student participation during live sessions.
3. Actionable Insights and Recommendations
Based on the analysis of the feedback, the following actionable insights and recommendations have been identified to improve the Education Technology Literacy courses:
1. Course Pacing and Depth
- Slow Down Pacing for Complex Topics: For the next cohort, it is recommended to slow down the pacing for more complex modules like machine learning and AI. This could be achieved by extending the module durations or breaking the content into smaller, digestible segments with additional interactive activities.
- Supplementary Learning Resources: Introduce more supportive resources such as additional practice exercises, video tutorials, and reading materials to reinforce the learning process and allow students to revisit difficult concepts at their own pace.
2. Clarifying Assignments
- Provide Clearer Instructions: Revise assignment instructions to ensure they are more detailed and include examples of successful projects. Clearly define rubrics that explain the grading criteria and expected outcomes.
- Flexible Deadlines for Challenging Tasks: Allow more flexibility in deadlines for assignments that require more time and effort, such as coding assignments or group projects. This will give students the opportunity to learn at their own pace without feeling rushed.
3. Technology Support and Training
- Pre-Course Technology Training: Offer pre-course training sessions or onboarding tutorials for students to familiarize themselves with the tools and platforms that will be used during the course. These sessions should cover both the learning management system and any advanced tools like Python and Slack.
- Improved Platform Stability: Work closely with the technical team to address the platform stability issues reported by students. Prioritize audio/video quality during live sessions, and ensure that all students can seamlessly access course materials and resources.
4. Instructor Support and Development
- Provide More Professional Development: Offer additional online teaching workshops for instructors, focusing on virtual classroom management, engagement strategies, and the effective use of digital teaching tools. This will ensure instructors feel equipped to foster a positive and engaging online learning environment.
- Provide Ongoing Technical Support: Increase the availability of technical support for instructors, particularly in relation to using advanced features in the LMS or integrating new educational technologies into the course structure.
4. Conclusion
The feedback collected from students and instructors has provided valuable insights into the strengths of SayPro’s Education Technology Literacy courses as well as areas for improvement. By addressing the issues identified, such as course pacing, assignment clarity, technology challenges, and instructor development, SayPro can continue to enhance the learning experience for future cohorts.
The actionable steps outlined in this report will guide the refinement of the courses and help ensure that SayPro remains responsive to the needs of its students and instructors while providing a high-quality, technology-driven education.
Report submitted by:
Chancellor SCHAR
March 14, 2025
- Neftaly Malatjie | CEO | SayPro
- Email: info@saypro.online
- Call: + 27 84 313 7407
- Website: www.saypro.online
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