1,730,973 research outputs found
Pandemic Thoughts: Decolonising COVID [Blog Post]
No full textGeetha Marcus - ORCID: 0000-0001-5610-5344
https://orcid.org/0000-0001-5610-5344Item not available in this repository.https://www.qmu.ac.uk/campus-life/blogs/staff-dr-geetha-marcus/pandemic-thoughts
Geetha Ramakrishnan
No full textGeetha Ramakrishnan, organizer of women's construction groups in Chennai
Interview Jacob Tharu (JT) talks to Geetha Durairajan (GD) and Lina Mukhopadhyay
Full text linkA student of psychology with a special interest in educational assessment, Professor Jacob Tharu retired
after thirty years of service in the Department of Evaluation, CIEFL, (now known as EFL University). Post-
retirement, he has been working with various NGOs in the education sector, and has also been associated
with assessment-linked programmes of the National Council of Education Research and Training (NCERT),
some state SCERTs and Sarva Shiksha Abhiyan (SSA).
Geetha Durairajan and Lina Mukhopadhyay jointly transcribed and edited the interview
Analysis of the cost of international education in selected countries / Ershad Ali , Geetha Subramaniam
Full text link© University Publication Centre (UPENA) and Institute of Business Excellence 2180-2777
50
ANALYSIS OF THE COST OF INTERNATIONAL EDUCATION IN
SELECTED COUNTRIES
Ershad Ali
Auckland Institute of Studies, New Zealand
Geetha Subramaniam
Universiti Teknologi MARA and Victoria University of Wellington, New Zealand
Abstract
This paper examines the cost of education for international students in selected
countries: New Zealand, Australia, USA, UK, Canada and Ireland. These countries
export education since long and each one is a competitor for another one. The
study defines the cost of education as the total cost that a student has to bear for
obtaining a degree. Total cost includes annual tuition fee, living cost, and other
costs such as insurance premium. The study collected data from official data
sources of the respective countries. The study compared costs and found that cost
of education is varied for a specific program from one country to another. It is also
varied from one university to another within a country. However, the most costly
education is in USA while the cheapest one is in New Zealand. The findings of this
study might be useful for researchers, policy makers and educationists
Caste, gender, power, and impunity: an interview with V. Geetha
Full text linkV. Geetha is a feminist activist, scholar and publisher based out of Chennai. In this interview she explores the intertwined concepts of caste, gender and power, their significance in determining the socio-political capital of persons and groups, how they decide access to education and employment (hence, class), and the ability to interact with the state, assume power or be delignated from it. She elicits several examples of violence, massacres, sexual assaults against Dalits in which caste positionality allowed serious crimes to go unpunished, even unrecognized. Drawing upon the rich tradition of Dalit scholarship and Dalit feminism, V. Geetha elaborates on the culture of civic and state sexual impunity in South Asia
Data privacy in knowledge discovery
No full textThis thesis addresses data privacy in various stages of extracting knowledge embedded in databases. Advances in computer networking and database technologies have enabled the collection and storage of vast quantities of data. Legal and ethical considerations might require measures to protect an individual's privacy in any use or release of the data. In this thesis, we address the problem of preserving privacy in the two following cases: (1) in distributed knowledge discovery; (2) in situations where the output of a data mining algorithm could itself breach privacy. We present results in two different models, namely secure multiparty computation (SMC) and differential privacy. The first part of the thesis presents privacy preserving protocols in the SMC model. Secure multiparty computation involves the collaborative computation of functions based on inputs from multiple parties. The privacy goal is to ensure that all parties receive only the final output without any party learning anything beyond what can be inferred from the output. Within this framework we address the problem of preserving privacy in the preprocessing and the data mining stages of knowledge discovery in databases. For the preprocessing stage, we present private protocols for the imputation of missing data in a dataset that is shared between two parties. For the data mining stage, we introduce the notion of arbitrarily partitioned data that generalizes both horizontally and vertically partitioned data. We present a privacy-preserving protocol for k-means clustering of arbitrarily partitioned data. We also develop a new simple k-clustering algorithm that was designed to be converted into a communication-efficient protocol for private clustering. The second part of the thesis deals with privacy in situations where the output of a data mining algorithm could itself breach privacy. In this setting, we present private inference control protocols in the SMC model for On-line Analytical Processing systems. In the differential privacymodel, the goal is to provide access to a statistical database while preserving the privacy of every individual in the database, irrespective of any auxiliary information that may be available to the database client. Under this privacy model, we present a practical privacy preserving decision tree classifier using random decision trees.Ph.D.Includes abstractVitaIncludes bibliographical referencesby Geetha Jagannatha
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