Data Collection and Analysis

Direct Measures:

• Exams and Quizzes: Use standardized tests to assess knowledge and skills.
• Assignments and Projects: Evaluate written assignments, projects, and presentations using detailed rubrics.
• Portfolios: Collect and review student work over time to assess progress and development.

Indirect Measures:

• Surveys and Questionnaires: Gather feedback from students about their learning experiences and perceived outcomes.
• Focus Groups: Conduct discussions with students to gain insights into their learning and experiences.
• Alumni Feedback: Collect feedback from graduates about how well the program prepared them for their careers.

Rubrics:

• Develop detailed rubrics for each SLO to ensure consistent and objective assessment.
• Rubrics should include criteria for different levels of performance (e.g., excellent, good, satisfactory, needs improvement).

Data Analysis:

• Regularly analyze the collected data to identify trends, strengths, and areas for improvement.
• Use the findings to make informed decisions about curriculum changes and teaching strategies.

SLO: Students will be able to critically evaluate scientific literature.

• Direct Measure: Assign a literature review project where students must evaluate and summarize scientific articles.
• Rubric: Use a rubric to assess the quality of the evaluation, including criteria such as understanding of the content, critical analysis, and clarity of writing.
• Indirect Measure: Conduct a survey asking students about their confidence in evaluating scientific literature before and after the assignment.
• Data Analysis: Compare rubric scores and survey results to assess the effectiveness of the assignment in achieving the SLO.

1. Define Key Performance Indicators (KPIs):
   • Identify specific metrics that will help measure progress towards each goal.
   • Example: For a goal to increase student retention rates, KPIs could include semester-to-semester retention rates, graduation rates, and student satisfaction scores.
2. Collect Data Regularly:
   • Gather data consistently to track progress over time.
   • Use surveys, assessments, academic records, and other relevant sources.
3. Analyze Data:
   • Review the collected data to identify trends, strengths, and areas for improvement.
   • Use statistical tools and software to assist with data analysis.
4. Set Benchmarks:
   • Establish benchmarks or milestones to compare current performance against desired outcomes.
   • Example: If your goal is to increase the percentage of students scoring above 80% on exams, set quarterly benchmarks to monitor progress.
5. Engage Stakeholders:
   • Involve faculty, staff, and students in the assessment process.
   • Share findings and gather feedback to ensure a comprehensive understanding of progress.
6. Adjust Strategies:
   • Based on the data analysis, make necessary adjustments to strategies and interventions.
   • Example: If data shows that certain student groups are struggling, implement targeted support programs.
7. Report Findings:
   • Regularly report progress to all relevant stakeholders.
   • Use visual aids like charts and graphs to make the data more accessible and understandable.
8. Continuous Improvement:
   • Use the assessment findings to inform continuous improvement efforts.
   • Regularly review and update goals and strategies based on the latest data.

Goal: Increase the percentage of students who complete their degree within four years from 60% to 75% by the end of the 2025 academic year.

1. KPIs: Four-year graduation rates, student retention rates, academic performance metrics.
2. Data Collection: Track graduation rates annually, conduct mid-semester check-ins, and gather feedback through student surveys.
3. Data Analysis: Compare annual graduation rates to identify trends and areas needing attention.
4. Benchmarks: Set annual targets (e.g., 65% by the end of 2023, 70% by the end of 2024).
5. Stakeholder Engagement: Hold regular meetings with faculty and advisors to discuss progress and gather input.
6. Adjust Strategies: Implement additional academic support services if progress is slower than expected.
7. Report Findings: Share progress reports with the academic community each semester.
8. Continuous Improvement: Use feedback and data to refine support programs and strategies.