05-04-2024  Friday

05 January to 29 April, 2024

Research Methodology: Qualitative & Quantitative Methods in Science & Mathematics Education Research

Every Monday (14:00-16:00), Friday (14:00-17:00)

Venue: Main Building Seminar Room - 217

Coordinator: Dean's Office

Category: Core Course

Instructors: Prof. Aniket Sule & Dr. Durgaprasad Karnam

Course Day and Time: Monday (2 PM to 4 PM) and Friday (2 PM to 5 PM)

Starting from January 5, 2024

09 January to 30 April, 2024

Understanding Teaching Practices (Part-2)

Every Tuesday (11:00-13:00), Friday (11:00-13:00)

Venue: Main Building Seminar Room - 217

Coordinator: Dean's Office

Category: Core Course

Instructors: Dr. Narendra Deshmukh and Dr. Kalpana Kharade

Course Day and Time: Tuesday (11 AM to 1 PM) and Friday (11 AM to 1 PM)

Starting from January 9, 2024


Ph.D. thesis defense seminar by Ms. Meena Kharatmal

Date: 05 April, 2024
Time: 11:30 - 12:30

Venue: Main Building Lecture Room - G1

Coordinator: Dean's Office

Candidate Name:

Ms. Meena Kharatmal

Ph.D. Thesis Title:

Design and Development of a Methodology for Relational Content Analysis of Language of Science by Re-representation with Special Reference to Biology


The thesis is about the language of science, specifically biology, from the perspective of relational content analysis of biology textbooks and students' representations. We identified gaps and problems in the nature and usage of predicates used for connecting concepts in sentences. To address these gaps, we designed and developed a method of re-representation with iterative refinements focusing on the semantics of predicates, inspired by semantic network-based knowledge representation, concept mapping, representational redescription, and systemic functional linguistics, conceptual spaces as theoretical frameworks. The method was validated by using well-defined predicates from published open biomedical resources. By modelling biology language for structures, processes, variable properties, explanation, experimental procedures, lead to developing a Reference Set of predicates i.e. relations and attributes. This Set was used for the relational content analysis that emerged interesting outcomes and patterns. We conclude by highlighting the implications of the work for research in biology education and science communication in general.