Data Collection:

• Design and implement data collection processes for assessments, evaluations, and surveys. 

• Collaborate with relevant departments to gather relevant data, ensuring data quality and integrity. 

Data Analysis: 

• Analyze assessment and evaluation data using statistical methods and data analysis tools. 

• Identify trends, patterns, and areas for improvement based on the analysis.

Report Generation: 

• Prepare reports summarizing assessment and evaluation findings. 

• Present data-driven insights to stakeholders, including faculty, administrators, and accrediting bodies.

Dashboard Development: 

• Create and maintain dashboards that visually represent assessment and evaluation metrics.

• Provide user-friendly tools for stakeholders to access and interpret data. 

Benchmarking: 

• Conduct benchmarking analyses to compare institutional performance against industry standards or peer institutions. 

• Identify areas where the university excels and areas for improvement based on benchmarking data. 

Assessment Tool Development: 

• Assist in the development and refinement of assessment tools, surveys, and instruments. 

• Ensure that assessment instruments align with learning outcomes and institutional goals. 

Data Interpretation: 

• Collaborate with academic and administrative units to interpret assessment data in the context of programmatic and institutional goals. 

• Provide insights to support evidence-based decision-making. 

Quality Assurance: 

• Implement and maintain quality assurance processes to ensure accuracy and reliability of assessment data. 

• Conduct regular checks to identify and resolve data discrepancies. 

Survey Design: 

• Collaborate with stakeholders to design and administer surveys related to academic programs, student experiences, and institutional effectiveness. 

• Analyze survey data to derive meaningful conclusions. 

Data Privacy and Compliance: 

• Ensure compliance with data privacy regulations and university policies. 

• Implement protocols to safeguard sensitive information during data analysis and reporting. 

Training and Support: 

• Provide training to faculty and staff on assessment and evaluation processes. 

• Offer support for understanding and utilizing assessment data for continuous improvement. 

Collaboration with Accreditation Processes: 

• Support accreditation processes by providing data and evidence of institutional effectiveness.

• Collaborate with accreditation teams to address data-related requirements. 

Strategic Planning: 

• Contribute to strategic planning efforts by providing data-driven insights that inform the development and revision of institutional goals.

• Align assessment efforts with the university's strategic objectives.

Continuous Improvement: 

• Recommend improvements to assessment processes based on ongoing analysis and feedback.

• Participate in discussions on refining assessment strategies for continuous improvement. 

Communication:

• Communicate assessment findings and recommendations effectively to diverse stakeholders.

• Facilitate discussions on how assessment data can inform changes and improvements.