Unit I: Assessment and Evaluation
- Modality- assessment- measurement- test- examination- evaluation- marking schemeranking- grading and on- line examination.
- Purposes of assessment- assessment in a constructivist paradigm.
- Classification of assessment- formative and summative, CRT (Criterion-Referenced Test) and NRT (Norm-Referenced Test); Peer assessment and Self- assessment.
- Continuous and Comprehensive Evaluation.
- Distinction between 'Assessment of Learning' and 'Assessment for Learning'.
Unit II: Assessment of Formal Learning
- Taxonomy of educational objectives – Blooms and Anderson’s revised classification of objectives.
- Assessment of cognitive learning.
- Assessment of affective learning – attitudes, aptitude and interest; items and procedure for assessment.
- Assessment of performance – Skill learning-Multitask.
- Construction of a Unit test – three dimensional Blue print.
Unit III: Assessment for Learning
- Assessment for information as an input of learning.
- Assessment devices- Assignments, projects, seminars, practical works, and performance based activities and reports.
- Using assessment feedback for further learning.(both teacher and student)
- Developing performance test (rubrics for portfolio assessment).
- Organising and planning for student portfolios.
Unit IV: Evaluation Mechanism and Examination System
- Examination - Need and types, objectives and uses of objective test, achievement test, entrance test, paper pencil test, on-line examination, open book examination and question bank.
- Critical analysis of prevailing examination system on student learners and stakeholders.
- Purpose of Examination grade placement.
- Directions for Examination Reform: Introducing flexibility, improving quality of questions papers, Examination management, Scheme of valuation.
- Analysis of test results - Alternative modes of certification, School-based credits, CBCS and Role of ICT in examination.
Unit V: Data Analysis, Interpretation and Follow-up
- Data Analysis – significance and uses-Presentation of data – tabulation and graphical representation-frequency polygon.
- Analysis of data- Measures of central tendency, variability, relationship types and uses.
- Normal Probability Curve- Characteristics and uses. Interpretation- Concepts of skewedness and Kurtosis.
- Follow-up; Diagnosis and remediation.