Anuradha Mathrani

Massey University

New Zealand

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Articles (12)

Automating Systematic Literature Reviews with Retrieval-Augmented Generation: A Comprehensive Overview

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Year:

2024

Automated assessment system for programming courses: a case study for teaching data structures and algorithms

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Year:

2023

Current stance on predictive analytics in higher education: opportunities, challenges and future directions

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Year:

2023

Rural–Urban, Gender, and Digital Divides during the COVID-19 Lockdown: A Multi-Layered Study

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Year:

2023

Clustering Analysis on Sustainable Development Goal Indicators for Forty-Five Asian Countries

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Year:

2023

Effectiveness of a Learning Analytics Dashboard for Increasing Student Engagement Levels

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Year:

2023

An evaluation of documentation requirements for ISO 9001 compliance in scrum projects

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Year:

2022

Supporting Students’ Academic Performance Using Explainable Machine Learning with Automated Prescriptive Analytics

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Year:

2022

Methodological Aspects in Study of Fat Stigma in Social Media Contexts: A Systematic Literature Review

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Year:

2022

On Developing Generic Models for Predicting Student Outcomes in Educational Data Mining

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Year:

2022

Fat stigma and body objectification: A text analysis approach using social media content

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Year:

2022

Digital divide framework: online learning in developing countries during the COVID-19 lockdown

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Year:

2022

Collaborators (4)

Teo Susnjak

Massey University - Albany Campus

NEW ZEALAND

Napoleon Reyes

Senior Lecturer

Massey University - Albany Campus

NEW ZEALAND

Andre Barczak

Assistant Professor

Bond University

AUSTRALIA

Nihal Jayamaha

Senior Lecturer

Massey University - Manawatu Campus

NEW ZEALAND

Anuradha Mathrani

Research Interests

Explore related searches

Contact this professor

Articles (12)

Automating Systematic Literature Reviews with Retrieval-Augmented Generation: A Comprehensive Overview

Automated assessment system for programming courses: a case study for teaching data structures and algorithms

Current stance on predictive analytics in higher education: opportunities, challenges and future directions

Rural–Urban, Gender, and Digital Divides during the COVID-19 Lockdown: A Multi-Layered Study

Clustering Analysis on Sustainable Development Goal Indicators for Forty-Five Asian Countries

Effectiveness of a Learning Analytics Dashboard for Increasing Student Engagement Levels

An evaluation of documentation requirements for ISO 9001 compliance in scrum projects

Supporting Students’ Academic Performance Using Explainable Machine Learning with Automated Prescriptive Analytics

Methodological Aspects in Study of Fat Stigma in Social Media Contexts: A Systematic Literature Review

On Developing Generic Models for Predicting Student Outcomes in Educational Data Mining

Fat stigma and body objectification: A text analysis approach using social media content

Digital divide framework: online learning in developing countries during the COVID-19 lockdown

Collaborators (4)

Teo Susnjak

Napoleon Reyes

Andre Barczak

Nihal Jayamaha

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