Proforma of the Syllabus PDF

Summary

A syllabus document for Soumyamol C A's PhD course work in Educational research. The document details various modules related to statistics and research covering different aspects of data interpretation and analysis. The syllabus originates from Mahatma Gandhi University.

Full Transcript

**PROFORMA OF THE SYLLABUS** Name of the Candidate : SOUMYAMOL C A Discipline : EDUCATION --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- EFFECTIVENESS OF AN...

**PROFORMA OF THE SYLLABUS** Name of the Candidate : SOUMYAMOL C A Discipline : EDUCATION --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- EFFECTIVENESS OF AN E-CONTENT INTEGRATED LEARNING PACKAGE IN STATISTICS ON CRITICAL THINKING ,DATA INTERPRETATION AND DECISION MAKING AMONG POST GRADUATE STUDENTS IN SOCIAL SCIENCES --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- Title of Research Work : Title of Course Work Paper III : PSD21C03 : CONSTRUCTS AND PRACTICES IN THE AREA OF RESEARCH -------------------------------------------------------------- No.899/AC A13/2024/MGU dt 31-01-2024 (Reg. No. MGUPHD246760) -------------------------------------------------------------- Number and date of the Registration Order : Name of the Research : Dr. SMITHA S. Supervising Teacher ASSISTANT PROFESSOR SCHOOL OF PEDAGOGICAL SCIENCES, M.G. UNIVERSITY, KOTTAYAM. Name of the Research Centre : SCHOOL OF PEDAGOGICAL SCIENCES, M.G. UNIVERSITY, KOTTAYAM. **MAHATMA GANDHI UNIVERSITY** **SCHOOL OF PEDAGOGICAL SCIENCES** **Ph.D. COURSE WORK** **SPSDC1C1303: CONSTRUCTS AND PRACTICES IN THE AREA OF RESEARCH** **(74 Teaching Hours)** **MODULE 1: STATISTICS IN SOCIAL SCIENCE RESEARCH** Statistics --Meaning, Definition, Scope, Statistics in Social Science - Nature, Use and Limitations, Interpreting information in social science- Meaning, concept and importance, Measures of Central Tendency- Mean, Median and Mode- Merits and Demerits, Measures of Dispersion- Mean Deviation, Standard Deviation, Correlation-Meaning and types, Karl Pearson's Correlation, Spearman's Rank Correlation **MODULE 2: E-CONTENT INTEGRATED LEARNING IN STATISTICS** E-learning and E-contents -- Introduction, Concept & Importance, Theoretical basis of developing E-content, Learning package --meaning and concept, E-content integrated learning package -- Concept and meaning, Features of an E-content integrated learning package in statistics, Challenges of integrating an E- content in Statistics **MODULE 3: PEDAGOGICAL ASPECTS OF AN E-CONTENT IN LEARNING STATISTICS** Pedagogy -- Meaning, Nature and characteristics**,** Different pedagogical approaches**,** Significance of the integration of an e-content integrated learning package **MODULE 4: RESEARCH METHODOLOGY AND STATISTICS** Concept of educational research - Meaning, purpose and scope of Social Science Research, Concept, nature, and types of variables, Hypothesis Testing in Research, and Confidence Intervals for Estimation, Interpreting Statistical Significance, Application of Inferential Statistics in Decision-Making **MODULE 5: DATA INTERPRETATION AND DECISION MAKING** Meaning, definition and importance of data interpretation, Graphical representation of data, creating effective charts and graphs, Interpretation of charts and graphs, Meaning, nature and importance of decision making**,** Real-world applications- Applying data interpretation and decision-making skills in various fields. **REFERENCES** Abrahams, F., & Abrahams, D. (2017). Choral pedagogy and the construction of meaning. *Oxford Handbooks Online*.  Bhattacherjee, A. (2012). *Social science research: Principles, methods, and practices*. CreateSpace. Developing a learning package. (2002). *Problem-Based Learning in a Health Sciences Curriculum*, 50-63.  Hall, P. A., & Dávila, P. (2022). *Critical visualization: Rethinking the representation of data*. Bloomsbury Publishing. *Learning packages*. (n.d.). Welcome to Education Above All \| Education Above All.  Mclure, H. (2013). Insights into development, innovation and interpretation of data. *Trends in Anaesthesia and Critical Care*, *3*(2), 55.  Measures of dispersion. (2018). *Exercising Essential Statistics*, 39-44.  Pluhina, A. (2022). Theoretical and methodical basis of developing primary school pupils' critical thinking. *Psychological and Pedagogical Problems of Modern School*, (2(8)), 35-41.  Pyrczak, F., & Oh, D. M. (2018). Descriptive, correlational, and inferential statistics. *Making Sense of Statistics*, 21-23.  Quantitative data analysis: Making sense of inferential statistics. (2013). *The Social Work Student\'s Research Handbook*, 142-153.  Rajaretnam, T. (2015). *Statistics for social sciences*. SAGE Publishing India. Silver, G. (1989). Operational measures of central tendency.  *What is data visualization? Definition, examples, and learning resources*. (n.d.). Tableau.  **SCHOOL OF PEDAGOGICAL SCIENCES** **Ph.D. COURSE WORK** **EXAMINATION** **Model Question Paper** **COURSE III** **SPSDC1C1303: CONSTRUCTS AND PRACTICES IN THE AREA OF RESEARCH** **PART A** **(Answer any 2 questions out of 4 questions. Each question carries 10 marks)** 1. 2. 3. 4. **(Answer any 10 questions out of 12 questions. Each question carries 3 marks)** 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16.

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