FUNDAMENTALS OF MEASUREMENT AND EVALUATION

17^th-18^th March, 2026                                                                                                    9^th-10^th June, 2026

24^th-25^th September, 2026                                                                                           23^rd-24^th November, 2026

Introduction

Measurement and Evaluation involve using tools (like tests) to assign numerical values (measurement) to attributes, then judging the worth or quality (evaluation) of those results in relation to specific objectives, forming a cycle to assess learning, guide instruction, and improve educational programs by determining “how much” (measurement) and “how good” (evaluation). Measurement provides quantitative data (scores, percentages), while evaluation interprets this data to make qualitative judgments and drive improvement, often using formative (during learning) and summative (at the end) approaches. 

• Measurement: Assigning numbers to qualities or attributes (e.g., a score of 85/100) using tools like tests, questionnaires, or observation.
• Evaluation: Judging the value or quality of what was measured, answering “how good?” and determining if objectives were met.
• Assessment: The broader process that includes both measurement and evaluation, focusing on supporting learning and providing feedback. 

Course Contents

Module One: Introduction to Measurement and Evaluation

• Definition of Key Terms
  • Measurement, Evaluation, Assessment
• Purpose and Importance
  • Role in Education and Other Fields
  • Differences Between Measurement and Evaluation

Module Two: Principles of Measurement

• Types of Measurement
  • Qualitative vs. Quantitative
  • Formative vs. Summative
• Measurement Scales
  • Nominal, Ordinal, Interval, and Ratio Scales
• Reliability and Validity
  • Definition and Importance
  • Methods to Assess Reliability and Validity

Module Three: Evaluation Models and Frameworks

• Different Evaluation Models
  • CIPP Model (Context, Input, Process, Product)
  • Kirkpatrick’s Four Levels of Evaluation
• Frameworks for Effective Evaluation
  • Bloom’s Taxonomy
  • SOLO Taxonomy

Module Four: Designing Measurement Tools

• Types of Assessment Tools
  • Tests, Surveys, Observations, and Portfolios
• Creating Effective Assessment Instruments
  • Writing Good Test Items (Multiple Choice, True/False, Essay)
  • Criteria for Quality Assessment Tools

Module Five: Data Collection and Analysis

• Methods of Data Collection
  • Qualitative vs. Quantitative Data Collection Techniques
• Basic Statistical Concepts
  • Descriptive and Inferential Statistics
• Analyzing Measurement Data
  • Techniques for Analyzing and Interpreting Results

Module Six: Interpreting Measurement and Evaluation Results

• Understanding Assessment Outcomes
  • Interpreting Scores and Feedback
• Using Results for Improvement
  • Data-Driven Decision Making
  • Reporting Findings to Stakeholders

Module Seven: Ethical Considerations in Measurement and Evaluation

• Ensuring Fairness and Equity
  • Addressing Bias in Assessments
• Confidentiality and Data Privacy
  • Ethical Handling of Data
• Best Practices in Evaluation

Module Eight: Trends and Future Directions

• Current Trends in Measurement and Evaluation
  • Technology in Assessment (e.g., Adaptive Testing)
• Future Challenges and Opportunities
  • Innovations in Measurement Practices
  • Evolving Educational Standards

Duration: Two (2) days                                                                                     Fee: N180,000