Primary Area : Ravi J Matthai Centre for Education Innovation
Email : kathans@iima.ac.in
Phone : +91-79-7152 4909
Secretary : Snehal Jethwa
Phone : +91-79-7152 7931
Ph.D., Educational Research, Statistics & Evaluation, University of Virginia, Virginia, USA, (2015)
M.Ed, Educational Psychology,, University of Houston, Texas, USA , (December 2010)
M.Sc., Solid State Physics, , Sardar Patel University, Gujarat, India , (2007)
B.Sc., Physics,, St. Xavier's College, Gujarat University, Gujarat, India , (2005)
Enterprise and Innivations in Education (offered to PGP, PGPX, PGP-FABM students)
This course provides an overview of India's educational sector. Critical issues of this sector are discussed from viewpoints of multiple stakeholders – from students, parents, teachers to policymakers and administrators. We also look at the existing innovative practices at various levels of education. Students are expected to come up with enterprising solutions for the problems they identify and demonstrate their understanding of the ecology of educational sector.
Course syllabus is available here.
Gamification, Technology and Learning Motivation (offered to PGP, PGPX, PGP-FABM students)
Motivating and engaging individuals for learning new things is often essential for organizations that strive for growth. Gamification provides a useful mechanism in this regard and is increasingly being employed across the fields of education, health, public services, business and management. It is the application of game design elements in real-world context to motivate user behaviours. This course provides an opportunity to develop an understanding of gamification, human learning and motivation theories and then apply this knowledge to devise and conduct interventions for improving academic as well as non-academic outcomes of students particularly those from underserved communities.
Course syllabus is available here.
How to Motivate Students for Learning? [Offered to PhD students]
This course provides an opportunity to develop an in-depth understanding of human learning and motivation theories and then apply this knowledge to make a meaningful contribution to the lives of students from the local schools.
Course syllabus is available here.
Applied Quantitative Techniques for Educational Research (offered to PhD students)
Regression analysis is one of the most commonly used quantitative techniques used across various fields such as economics, education, psychology, sociology, and business. The course is designed to help students become more informed consumers of research and be able to apply these analytic techniques in educational/psychological research. Topics covered in the course will include: univariate and multivariate analysis of variance (ANOVA & MANOVA), simple regression, multiple regression (MR) analysis, moderation effects, regression diagnostics, the use of categorical independent variables, curvilinear regression analysis, modelling binary outcomes (logistic regression), Poisson and negative binomial regression, direct and indirect effects of predictor on the outcome variable of interest. The course will be based on a combination of theoretical and practice-oriented sessions that will provide working knowledge of statistical software like SPSS and R.
Course syllabus is available here.
Structural Equation Modeling (offered to PhD students)
The course builds on the insights and knowledge obtained in first year research methodology courses (Survey of Statistical Methods, Introduction to Research Methods and Qualitative Techniques) and provides a hands-on training of Structural Equation Modeling (SEM). The course shall introduce the participants to survey-based research designs and the SEM analytic technique used to analyze the data collected. The course shall provide inputs relating to measurement theory and ways to incorporate them in our analysis. The course will be based on a combination of theoretical and practice-oriented sessions that will provide working knowledge of statistical software like SPSS, AMOS and Mplus.
Course syllabus is available here.
Kathan's work emphasizes on the synergy of methodological rigour and in-depth substantive inquiry of educational problems.
Methodologically, his research focuses on the applications of contemporary quantitative techniques (structural equation modeling, multilevel modeling, latent class modeling); Educational testing & measurement; Scale development and validation.
Primary substantive interest: School Climate and Students' Academic & Psychological Outcomes.
Associate Professor, Ravi J. Matthai Centre for Educational Innovation, Indian Institute of Management Ahmedabad, (December 2021 - present)
Assistant Professor, Ravi J. Matthai Centre for Educational Innovation, Indian Institute of Management Ahmedabad, (August 2016 - November 2021)
Faculty Chair, Strategic Leadership for Schools in a Changing Environment programme, Indian Institute of Management, Ahmedabad, (2017 - present)
Postdoctoral Fellow, Department of Human Services, Curry School of Education, University of Virginia, (August 2015 - August 2016)
Instructor for Research, Statistics, & Evaluation Program, Curry School of Education, University of Virginia, (August 2015 - August 2016)
Graduate Research Assistant, Department of Leadership, Foundations and Policy,, University of Virginia , (July 2011- July 2015)
Graduate Teaching Assistant, University of Houston Main Campus, (August 2009- December 2010)
Physics Teacher, Vishwabharati English Medium School, India, (2007- 2008)
American Educational Research Association (AERA)
Member of Division D: Measurement and Research Methodology
Member of Special Interest Groups
Structural Equation Modeling
Survey Research
American Psychological Association (APA)
Comparative International Education Society (CIES)
Member of Special Interest Group: South Asia
Society for Prevention Research (SPR)
Structural Equation Modeling
Change and Innovation in Education
How to Motivate Students for Learning?
Gamification, Technology and Learning Motivation
Enterprise and Innovations in Education
