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Article
Publication date: 19 April 2024

Ean Teng Khor and Dave Darshan

This study leverages social network analysis (SNA) to visualise the way students interacted with online resources and uses the data obtained from SNA as features for supervised…

Abstract

Purpose

This study leverages social network analysis (SNA) to visualise the way students interacted with online resources and uses the data obtained from SNA as features for supervised machine learning algorithms to predict whether a student will successfully complete a course.

Design/methodology/approach

The exploration and visualisation of the data were first carried out to gain a better understanding of the students, the course(s) each student was enrolled in and each course’s virtual learning resources. Following this, the construction of the social network graphs was performed to depict how each student behaved online before the degree centralities were computed for each of the nodes in a social network graph. Data pre-processing to assign labels based on the final result a student obtained in a course was then performed before we trained and tested models to predict which students did or did not graduate.

Findings

The study’s findings demonstrate that the constructed predictive model has good performance, as shown by the accuracy, precision, recall and f-measure metrics. The outcomes also showed that students’ use of online resources is a crucial element that influences how well they perform in their academics.

Originality/value

The similarity index is as low as 9%.

Details

The International Journal of Information and Learning Technology, vol. 41 no. 2
Type: Research Article
ISSN: 2056-4880

Keywords

Article
Publication date: 1 March 2005

A.K. Sharma and Balvir Talwar

With increasing competitiveness today's business scenario has become highly complex. Aims to focus on corporate social responsibility (CSR), which has become increasingly

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Abstract

Purpose

With increasing competitiveness today's business scenario has become highly complex. Aims to focus on corporate social responsibility (CSR), which has become increasingly important in the modern era.

Design/methodology/approach

A conceptual discussion and approach are taken.

Findings

CSR encompasses a wide variety of concerns such as ethical values in business, welfare of society, awareness, respect and protection of the natural and built environment as regular action that business can take to solve the problems being faced by the Society. CSR is an integral part of Vedic philosophy. Vedic philosophy emphasizes that those actions, which are coming from the core of heart, will provide the long lasting results. Veda advocates for minimum accumulation, mutual cooperation and maintenance of natural harmony. Veda reiterates non‐centrality of money in human life, but for corporations money is the real nerve of business systems. Vedic economic philosophy is pure and focused on “Prosperity for all”. The present study attempts to critically evaluate the modern concept of CSR and enrich it with the path described by Vedic philosophy to attain the corporate excellence.

Originality/value

Focuses on issues such as corporate accountability, corporate ethics and disclosure of relevant corporate information which are increasingly becoming important centres of attention in business.

Details

Measuring Business Excellence, vol. 9 no. 1
Type: Research Article
ISSN: 1368-3047

Keywords

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