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Evaluation skills

Evaluation skills

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Evaluation skills

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  1. Evaluation skills G Balasubramanian

  2. Why evaluate? • Individual position on a learning curve • Position in a given learning cohort • Position in a given universe

  3. What does a marking scheme contain? • A marking scheme contains value points for assessment. • They are suggestive. • The evaluator has the flexibility to award so long as the value point is reflected.

  4. What is the relevance of marking scheme to an evaluator? • It reduces ambiguity in evaluation • It reduces subjectivity in evaluation • Ir provides standards for evaluation. • It is a normative tool for the entire universe of the examinees.

  5. Threats to effective evaluation • Identification of schools/ candidates • Focus on the remuneration by increasing the quantity of evaluated papers • Poor computation of marks • No standardized procedures for addition or recording.

  6. Normal Distribution Curve

  7. What is the meaning of a Bell curve? • It reflects the performance profile of examinees in a given situation. • It shows a meaningful profile when the volume of the examinees is large • It is just an indicator. • There is no pre-condition that it has to remain always normal. • The standard curve is never forced on a cohort

  8. The skewing of the curve • In all normal conditions the curve is skewed. • Skewing could be positive or negative.

  9. When does positive skewing occur? • When the question paper is too easy. • When the evaluation is quite liberal and subjective. • When the given cohort are high profile and high performing learners. • When the volume of the examinees is quite less. • When the marking scheme is not objective

  10. When does a negative skewing occur? • When the question paper is quite difficult. • When the questions are out of focus or syllabus. • When the performance profile of the learners is low • When the learning experiences have been inadequate • When the evaluation is quite tight and rigorous. • When the marking scheme is not objective

  11. What is J-effect?

  12. What causes J-effect? • Undue emphasis on a given mark • Psychological pressure on examiners to award a given mark • Moderation or standardization focusing on a given mark • Student performances targeting a given mark

  13. What is standard deviation? • Standard Deviation • The Standard Deviation is a measure of how spread out numbers are. • Its symbol is σ (the greek letter sigma) • The formula is easy: it is the square root of the Variance. • The Variance is defined as: The average of the squared differences from the Mean.

  14. What does standard deviation indicate? • Standard deviation is the measure of dispersion away from the mean, or average, value

  15. How do we assess the performance of a school? • Relating the mean score of a school in a subject with that of the Board score. • Relating the distribution profile of the learners of a school with that of the Board.

  16. Should we give full marks to an answer if it is correct? • Why not? • Why should I? yes No

  17. What kind of variations could occur during evaluation? • Perceptional variations • Indifference in observations • Oversights • Misconceptions about answers/questions

  18. Issues in evaluation • Lack of focus/attention • Speed of assessment • Personal preferences • Poor handwriting • Styles of answers • Ideological differences

  19. Some examples of poor assessment • Case relating to the question • The most ideal man I know

  20. If the examiner doesn’t know • Give an example of Antibiotics.

  21. Issues in evaluation • Does the teacher have adequate knowledge? • Does the teacher have adequate competence? • Does the teacher take the task with seriousness it deserves? • Mindsets in evaluation

  22. Team Evaluation • What are its strengths? • What are its demerits?

  23. Inter-teacher variability • Monitoring • Mentoring • Supervising

  24. Case Study 1 • The format of writing a letter

  25. Case study 2 • Lack of knowledge of the subject area

  26. Case study 3 • All students getting the same marks in a given subject • All students getting the same marks in Maths and sciences

  27. Case study 4 • Data Entry errors